---
OA_place: publisher
OA_type: gold
_id: '22450'
abstract:
- lang: eng
  text: "Background: Residential exposure to trees has been associated with reduced
    mortality risks. We hypothesise that in addition to tree canopy cover, tree canopy
    configuration also plays a role in exposure–mortality relationships. As there
    is limited evidence on this hypothesis, especially longitudinal evidence, we performed
    a nationwide study to investigate the residential tree canopy configuration–mortality
    associations in the Swiss population.\r\nMethods: In this longitudinal study,
    the tree canopy cover and configuration metrics within 500 m of individuals’ residences
    were quantified using high-resolution tree canopy data (1 × 1 m) from 2010 to
    2019. We developed single-exposure and multi-exposure time-varying Cox regression
    models to estimate the associations between the different exposure metrics and
    natural-cause and cause-specific mortality in Swiss adults (aged from 20 years
    to 90 years). Mortality and census data were taken from the Swiss National Cohort
    (SNC). We estimated the hazard ratios (HRs) and corresponding 95% CIs per IQR
    increase in the metrics adjusting for personal sociodemographic and contextual
    covariates. We also explored the effect modification by tree canopy cover, PM10,
    air temperature, urbanisation level, age, sex, and area-based local socioeconomic
    position.\r\nFindings: Our analyses included 6 215 073 individuals from the SNC
    between 2010 and 2019. In the fully adjusted single-exposure models, we observed
    protective associations between natural-cause mortality risk and tree canopy cover
    (IQR 12·4%, HR 0·979 [95% CI 0·975–0·983]) and configuration metrics describing
    the aggregation (6·3%, 0·831 [0·823–0·840]), and connectedness (2·9%, 0·946 [0·938–0·953]);
    and detrimental associations with two metrics describing the fragmentation (211
    patches per 100 ha, 1·073 [1·066–1·080]) and shape complexity (1·9, 1·094 [1·089–1·100])
    of patches. The associations were generally preserved with other common causes
    of death. According to the multi-exposure models, the HR (95% CI) for the combination
    of one IQR decrease in aggregation and one IQR increase in fragmentation and shape
    complexity was 1·366 (1·343–1·390). Analyses on modification effects suggested
    a stronger association in people living in areas with a higher level of tree canopy
    cover, PM10 concentration, air temperature, and urbanisation level.\r\nInterpretation:
    Aggregated, connected, and less fragmented forested greenspaces might offer stronger
    health benefits than isolated, fragmented ones, but are difficult to implement
    in cities. Our study provided valuable insights into optimising forested greenspaces
    and highlighted future directions for the planning and management of urban forests
    towards healthy and green cities."
article_processing_charge: No
article_type: original
author:
- first_name: Dengkai
  full_name: Chi, Dengkai
  last_name: Chi
- first_name: Gabriele
  full_name: Manoli, Gabriele
  last_name: Manoli
- first_name: Brenda
  full_name: Lin, Brenda
  last_name: Lin
- first_name: Raf
  full_name: Aerts, Raf
  last_name: Aerts
- first_name: Jun
  full_name: Yang, Jun
  last_name: Yang
- first_name: Amy
  full_name: Hahs, Amy
  last_name: Hahs
- first_name: Daniel
  full_name: Richards, Daniel
  last_name: Richards
- first_name: Naika
  full_name: Meili, Naika
  last_name: Meili
- first_name: Yue
  full_name: Zhu, Yue
  last_name: Zhu
- first_name: Yeshan
  full_name: Qiu, Yeshan
  last_name: Qiu
- first_name: Jing
  full_name: Wang, Jing
  last_name: Wang
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Puay Yok
  full_name: Tan, Puay Yok
  last_name: Tan
citation:
  ama: 'Chi D, Manoli G, Lin B, et al. Residential tree canopy configuration and mortality
    in 6 million Swiss adults: A longitudinal study. <i>The Lancet Planetary Health</i>.
    2025;9(3):e186-e195. doi:<a href="https://doi.org/10.1016/s2542-5196(25)00022-1">10.1016/s2542-5196(25)00022-1</a>'
  apa: 'Chi, D., Manoli, G., Lin, B., Aerts, R., Yang, J., Hahs, A., … Tan, P. Y.
    (2025). Residential tree canopy configuration and mortality in 6 million Swiss
    adults: A longitudinal study. <i>The Lancet Planetary Health</i>. Elsevier. <a
    href="https://doi.org/10.1016/s2542-5196(25)00022-1">https://doi.org/10.1016/s2542-5196(25)00022-1</a>'
  chicago: 'Chi, Dengkai, Gabriele Manoli, Brenda Lin, Raf Aerts, Jun Yang, Amy Hahs,
    Daniel Richards, et al. “Residential Tree Canopy Configuration and Mortality in
    6 Million Swiss Adults: A Longitudinal Study.” <i>The Lancet Planetary Health</i>.
    Elsevier, 2025. <a href="https://doi.org/10.1016/s2542-5196(25)00022-1">https://doi.org/10.1016/s2542-5196(25)00022-1</a>.'
  ieee: 'D. Chi <i>et al.</i>, “Residential tree canopy configuration and mortality
    in 6 million Swiss adults: A longitudinal study,” <i>The Lancet Planetary Health</i>,
    vol. 9, no. 3. Elsevier, pp. e186–e195, 2025.'
  ista: 'Chi D, Manoli G, Lin B, Aerts R, Yang J, Hahs A, Richards D, Meili N, Zhu
    Y, Qiu Y, Wang J, Burlando P, Fatichi S, Tan PY. 2025. Residential tree canopy
    configuration and mortality in 6 million Swiss adults: A longitudinal study. The
    Lancet Planetary Health. 9(3), e186–e195.'
  mla: 'Chi, Dengkai, et al. “Residential Tree Canopy Configuration and Mortality
    in 6 Million Swiss Adults: A Longitudinal Study.” <i>The Lancet Planetary Health</i>,
    vol. 9, no. 3, Elsevier, 2025, pp. e186–95, doi:<a href="https://doi.org/10.1016/s2542-5196(25)00022-1">10.1016/s2542-5196(25)00022-1</a>.'
  short: D. Chi, G. Manoli, B. Lin, R. Aerts, J. Yang, A. Hahs, D. Richards, N. Meili,
    Y. Zhu, Y. Qiu, J. Wang, P. Burlando, S. Fatichi, P.Y. Tan, The Lancet Planetary
    Health 9 (2025) e186–e195.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2025-03-01T00:00:00Z
date_updated: 2026-07-30T11:57:46Z
day: '01'
ddc:
- '550'
doi: 10.1016/s2542-5196(25)00022-1
extern: '1'
has_accepted_license: '1'
intvolume: '         9'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/S2542-5196(25)00022-1
month: '03'
oa: 1
oa_version: Published Version
page: e186-e195
publication: The Lancet Planetary Health
publication_identifier:
  eissn:
  - 2542-5196
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Residential tree canopy configuration and mortality in 6 million Swiss adults:
  A longitudinal study'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22469'
abstract:
- lang: eng
  text: Accurate flood simulation remains a significant challenge in many flood-prone
    regions, particularly in developing countries and urban areas, where the availability
    of high-resolution topographic data is especially limited. While publicly available
    digital elevation model (DEM) datasets are increasingly accessible, their spatial
    resolution is often insufficient for reflecting fine-scaled elevation details,
    which hinders the ability to simulate pluvial floods in built environments. To
    address this issue, we implemented a deep-learning-based method, which efficiently
    enhances the spatial resolution of DEM data, and quantified the effect of the
    improved DEM on flood simulation. The method employs a tailored multi-source input
    module, enabling it to effectively integrate and learn from diverse data sources.
    By utilising publicly accessible global datasets, such as low-resolution DEM datasets
    (i.e. 30 m Shuttle Radar Topography Mission, SRTM) in conjunction with high-resolution
    multispectral imagery (e.g. Sentinel-2A), our approach allows us to produce a
    super-resolution DEM, which exhibits superior performance compared to conventional
    methods in reconstructing 10 m DEM data based on 30 m DEM data and 10 m multispectral
    satellite images. We evaluated the performance of the super-resolution DEM in
    flood simulations. Compared to conventional methods (e.g. bicubic interpolation),
    the simulation results demonstrated that our approach significantly improved the
    accuracy of flood simulations, with a reduction in the mean absolute error of
    floodwater depth of about 13.1 % and an increase in the intersection over union
    (IoU) for inundation area predictions of about 46 %. Accordingly, this study underscores
    the practical value of machine learning techniques that leverage publicly available
    global datasets to generate DEMs that allow for the enhancement of flood simulations.
article_processing_charge: No
article_type: original
author:
- first_name: Yue
  full_name: Zhu, Yue
  last_name: Zhu
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Puay Yok
  full_name: Tan, Puay Yok
  last_name: Tan
- first_name: Christian
  full_name: Geiß, Christian
  last_name: Geiß
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Zhu Y, Burlando P, Tan PY, Geiß C, Fatichi S. Improving pluvial flood simulations
    with a multi-source digital elevation model super-resolution method. <i>Natural
    Hazards and Earth System Sciences</i>. 2025;25(7):2271-2286. doi:<a href="https://doi.org/10.5194/nhess-25-2271-2025">10.5194/nhess-25-2271-2025</a>
  apa: Zhu, Y., Burlando, P., Tan, P. Y., Geiß, C., &#38; Fatichi, S. (2025). Improving
    pluvial flood simulations with a multi-source digital elevation model super-resolution
    method. <i>Natural Hazards and Earth System Sciences</i>. Copernicus Publications.
    <a href="https://doi.org/10.5194/nhess-25-2271-2025">https://doi.org/10.5194/nhess-25-2271-2025</a>
  chicago: Zhu, Yue, Paolo Burlando, Puay Yok Tan, Christian Geiß, and Simone Fatichi.
    “Improving Pluvial Flood Simulations with a Multi-Source Digital Elevation Model
    Super-Resolution Method.” <i>Natural Hazards and Earth System Sciences</i>. Copernicus
    Publications, 2025. <a href="https://doi.org/10.5194/nhess-25-2271-2025">https://doi.org/10.5194/nhess-25-2271-2025</a>.
  ieee: Y. Zhu, P. Burlando, P. Y. Tan, C. Geiß, and S. Fatichi, “Improving pluvial
    flood simulations with a multi-source digital elevation model super-resolution
    method,” <i>Natural Hazards and Earth System Sciences</i>, vol. 25, no. 7. Copernicus
    Publications, pp. 2271–2286, 2025.
  ista: Zhu Y, Burlando P, Tan PY, Geiß C, Fatichi S. 2025. Improving pluvial flood
    simulations with a multi-source digital elevation model super-resolution method.
    Natural Hazards and Earth System Sciences. 25(7), 2271–2286.
  mla: Zhu, Yue, et al. “Improving Pluvial Flood Simulations with a Multi-Source Digital
    Elevation Model Super-Resolution Method.” <i>Natural Hazards and Earth System
    Sciences</i>, vol. 25, no. 7, Copernicus Publications, 2025, pp. 2271–86, doi:<a
    href="https://doi.org/10.5194/nhess-25-2271-2025">10.5194/nhess-25-2271-2025</a>.
  short: Y. Zhu, P. Burlando, P.Y. Tan, C. Geiß, S. Fatichi, Natural Hazards and Earth
    System Sciences 25 (2025) 2271–2286.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2025-07-08T00:00:00Z
date_updated: 2026-07-30T11:49:35Z
day: '08'
ddc:
- '550'
doi: 10.5194/nhess-25-2271-2025
extern: '1'
has_accepted_license: '1'
intvolume: '        25'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5194/nhess-25-2271-2025
month: '07'
oa: 1
oa_version: Published Version
page: 2271-2286
publication: Natural Hazards and Earth System Sciences
publication_identifier:
  eissn:
  - 1684-9981
  issn:
  - 1561-8633
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Improving pluvial flood simulations with a multi-source digital elevation model
  super-resolution method
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 25
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22463'
abstract:
- lang: eng
  text: 'Glacier retreat as a consequence of climate change creates new ice-free terrain
    and soil development that prompt plant colonization and ecological succession.
    These processes impact terrestrial ecosystems with profound ecological and societal
    consequences. However, quantification of how the carbon cycle evolves in deglaciated
    areas in response to these processes remains limited. We examined the impacts
    of forest expansion and soil development on the carbon cycle under climate change
    in a deglaciated area in the Swiss Alps. Using the mechanistic ecohydrological
    T&C model, we computed the changes in vegetation, soil, and carbon from 1981 to
    2099 under climate change, revealing complex carbon cycle responses in deglaciating
    ecosystems. Vegetation growth, soil organic matter, and plant nutrient uptake
    are projected to increase by mid-century and then stabilize, indicating that plant
    growth is relatively limited by nutrient availability. The amount of carbon stored
    in plant biomass will increase toward the end of the century at a faster rate
    than that of carbon stored in soil and litter. The carbon cycle is projected to
    continue its current accelerating trend characterized by enhanced vegetation photosynthesis,
    increased plant and soil respiration, and higher net ecosystem production (NEP)
    by mid-century. Alpine ecosystems have already been serving as carbon sinks and
    have the potential to increase their carbon sink capacity, but at varying rates
    depending on how climate will evolve: NEP will stabilize around 24 gC m^−2 y^−1
    in RCP4.5 or might elevate to 55 gC m^−2 y^−1 by end-century in RCP8.5. Even under
    the most extreme scenario, this increase in stored carbon in the proglacial areas
    of the Swiss Alps is still a drop in the ocean, as it represents only 0.9% of
    overall Swiss carbon emissions, thus highlighting the need for additional carbon
    management and mitigation efforts.'
article_number: '110682'
article_processing_charge: No
article_type: original
author:
- first_name: Fuxiao
  full_name: Jiang, Fuxiao
  last_name: Jiang
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Gianalberto
  full_name: Losapio, Gianalberto
  last_name: Losapio
- first_name: Nadav
  full_name: Peleg, Nadav
  last_name: Peleg
citation:
  ama: Jiang F, Fatichi S, Losapio G, Peleg N. Future glacier retreat and forest expansion
    in the Swiss Alps provide limited benefits for carbon sinks. <i>Agricultural and
    Forest Meteorology</i>. 2025;372. doi:<a href="https://doi.org/10.1016/j.agrformet.2025.110682">10.1016/j.agrformet.2025.110682</a>
  apa: Jiang, F., Fatichi, S., Losapio, G., &#38; Peleg, N. (2025). Future glacier
    retreat and forest expansion in the Swiss Alps provide limited benefits for carbon
    sinks. <i>Agricultural and Forest Meteorology</i>. Elsevier. <a href="https://doi.org/10.1016/j.agrformet.2025.110682">https://doi.org/10.1016/j.agrformet.2025.110682</a>
  chicago: Jiang, Fuxiao, Simone Fatichi, Gianalberto Losapio, and Nadav Peleg. “Future
    Glacier Retreat and Forest Expansion in the Swiss Alps Provide Limited Benefits
    for Carbon Sinks.” <i>Agricultural and Forest Meteorology</i>. Elsevier, 2025.
    <a href="https://doi.org/10.1016/j.agrformet.2025.110682">https://doi.org/10.1016/j.agrformet.2025.110682</a>.
  ieee: F. Jiang, S. Fatichi, G. Losapio, and N. Peleg, “Future glacier retreat and
    forest expansion in the Swiss Alps provide limited benefits for carbon sinks,”
    <i>Agricultural and Forest Meteorology</i>, vol. 372. Elsevier, 2025.
  ista: Jiang F, Fatichi S, Losapio G, Peleg N. 2025. Future glacier retreat and forest
    expansion in the Swiss Alps provide limited benefits for carbon sinks. Agricultural
    and Forest Meteorology. 372, 110682.
  mla: Jiang, Fuxiao, et al. “Future Glacier Retreat and Forest Expansion in the Swiss
    Alps Provide Limited Benefits for Carbon Sinks.” <i>Agricultural and Forest Meteorology</i>,
    vol. 372, 110682, Elsevier, 2025, doi:<a href="https://doi.org/10.1016/j.agrformet.2025.110682">10.1016/j.agrformet.2025.110682</a>.
  short: F. Jiang, S. Fatichi, G. Losapio, N. Peleg, Agricultural and Forest Meteorology
    372 (2025).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2025-09-15T00:00:00Z
date_updated: 2026-07-30T11:52:23Z
day: '15'
ddc:
- '550'
doi: 10.1016/j.agrformet.2025.110682
extern: '1'
has_accepted_license: '1'
intvolume: '       372'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.agrformet.2025.110682
month: '09'
oa: 1
oa_version: Published Version
publication: Agricultural and Forest Meteorology
publication_identifier:
  eissn:
  - 1873-2240
  issn:
  - 0168-1923
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Future glacier retreat and forest expansion in the Swiss Alps provide limited
  benefits for carbon sinks
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 372
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '22462'
abstract:
- lang: eng
  text: Enhanced rock weathering (ERW) is an emerging carbon dioxide removal (CDR)
    strategy that can support net-zero emission targets. However, current ERW modelling
    efforts rely on assumptions that introduce substantial variation in CDR estimates
    across varying ecosystems and hydroclimatic conditions. They typically ignore
    or oversimplify plant–soil interactions and high-frequency hydrological dynamics,
    obscuring short-term weathering responses and biotic feedbacks to soil moisture
    dynamics. Here, we introduce an integrated, process-based modelling framework,
    T&C-SMEW, which represents ecohydrological and ERW dynamics, along with microbially
    explicit biogeochemical processes. We compared framework simulations against a
    controlled mesocosm experiment and long-term field observations, demonstrating
    its ability to reproduce feedstock cation release, soil pH dynamics, gross primary
    production, and CO2 fluxes. T&C-SMEW reveals hydrological constraints and vegetation
    effects on ERW-mediated CDR by quantifying impacts on ecosystem respiration, net
    ecosystem exchange, and alkalinity export, emphasising the importance of ecohydrological
    modelling for ecosystem-level CDR estimation. These advances provide a modelling
    framework for identifying optimal deployment scenarios to establish ERW as a viable
    and operationally feasible CDR approach.
article_number: e70650
article_processing_charge: No
article_type: original
author:
- first_name: Ziyan
  full_name: Zhang, Ziyan
  last_name: Zhang
- first_name: Gregory
  full_name: Jones, Gregory
  last_name: Jones
- first_name: Salvatore
  full_name: Calabrese, Salvatore
  last_name: Calabrese
- first_name: Matteo
  full_name: Bertagni, Matteo
  last_name: Bertagni
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Bonnie
  full_name: Waring, Bonnie
  last_name: Waring
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
citation:
  ama: Zhang Z, Jones G, Calabrese S, et al. An integrated modelling framework to
    determine terrestrial carbon dioxide removal via enhanced rock weathering. <i>Global
    Change Biology</i>. 2025;31(12). doi:<a href="https://doi.org/10.1111/gcb.70650">10.1111/gcb.70650</a>
  apa: Zhang, Z., Jones, G., Calabrese, S., Bertagni, M., Fatichi, S., Waring, B.,
    &#38; Paschalis, A. (2025). An integrated modelling framework to determine terrestrial
    carbon dioxide removal via enhanced rock weathering. <i>Global Change Biology</i>.
    Wiley. <a href="https://doi.org/10.1111/gcb.70650">https://doi.org/10.1111/gcb.70650</a>
  chicago: Zhang, Ziyan, Gregory Jones, Salvatore Calabrese, Matteo Bertagni, Simone
    Fatichi, Bonnie Waring, and Athanasios Paschalis. “An Integrated Modelling Framework
    to Determine Terrestrial Carbon Dioxide Removal via Enhanced Rock Weathering.”
    <i>Global Change Biology</i>. Wiley, 2025. <a href="https://doi.org/10.1111/gcb.70650">https://doi.org/10.1111/gcb.70650</a>.
  ieee: Z. Zhang <i>et al.</i>, “An integrated modelling framework to determine terrestrial
    carbon dioxide removal via enhanced rock weathering,” <i>Global Change Biology</i>,
    vol. 31, no. 12. Wiley, 2025.
  ista: Zhang Z, Jones G, Calabrese S, Bertagni M, Fatichi S, Waring B, Paschalis
    A. 2025. An integrated modelling framework to determine terrestrial carbon dioxide
    removal via enhanced rock weathering. Global Change Biology. 31(12), e70650.
  mla: Zhang, Ziyan, et al. “An Integrated Modelling Framework to Determine Terrestrial
    Carbon Dioxide Removal via Enhanced Rock Weathering.” <i>Global Change Biology</i>,
    vol. 31, no. 12, e70650, Wiley, 2025, doi:<a href="https://doi.org/10.1111/gcb.70650">10.1111/gcb.70650</a>.
  short: Z. Zhang, G. Jones, S. Calabrese, M. Bertagni, S. Fatichi, B. Waring, A.
    Paschalis, Global Change Biology 31 (2025).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2026-07-30T11:54:40Z
day: '01'
ddc:
- '550'
doi: 10.1111/gcb.70650
extern: '1'
has_accepted_license: '1'
intvolume: '        31'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1111/gcb.70650
month: '12'
oa: 1
oa_version: Published Version
publication: Global Change Biology
publication_identifier:
  eissn:
  - 1365-2486
  issn:
  - 1354-1013
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: An integrated modelling framework to determine terrestrial carbon dioxide removal
  via enhanced rock weathering
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22483'
abstract:
- lang: eng
  text: Agrivoltaic systems are characterized by the co‐existence of photovoltaic
    panels on agricultural land, allowing simultaneous solar energy and food production
    without need for further land. Agrivoltaic installations alter the local microclimatic
    conditions of the land surface, impacting the performance of the agricultural
    systems embedded in them. In this study we develop an ecohydrological modeling
    framework combining a module that simulates changes in micrometeorology due to
    photovoltaic panel installations with a state‐of‐the‐art model that resolves land
    surface water, energy, and vegetation dynamics (i.e., the terrestrial biosphere
    model T&amp;C). We demonstrate that the modeling framework is capable of reproducing
    grassland dynamics across a broad range of climates and agrivoltaic architectures.
    With the use of the model we evaluated grassland performance across the Mediterranean
    for two most commonly used architectures, namely mixed mounted solar panels and
    rotating solar tracking panels. We found that C3 grassland yields can be significantly
    enhanced only in climates where annual potential evapotranspiration exceeds annual
    rainfall. Changes in grassland productivity were attributed primarily to changes
    in the light environment at the land surface, with changes in surface aerodynamic
    roughness and rainfall redistribution due to drainage on panels playing a smaller
    negative role of comparable magnitudes.
article_number: e2024EF005183
article_processing_charge: No
article_type: original
author:
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Sara
  full_name: Bonetti, Sara
  last_name: Bonetti
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Paschalis A, Bonetti S, Fatichi S. Controls of ecohydrological grassland dynamics
    in agrivoltaic systems. <i>Earth’s Future</i>. 2025;13(3). doi:<a href="https://doi.org/10.1029/2024ef005183">10.1029/2024ef005183</a>
  apa: Paschalis, A., Bonetti, S., &#38; Fatichi, S. (2025). Controls of ecohydrological
    grassland dynamics in agrivoltaic systems. <i>Earth’s Future</i>. American Geophysical
    Union. <a href="https://doi.org/10.1029/2024ef005183">https://doi.org/10.1029/2024ef005183</a>
  chicago: Paschalis, Athanasios, Sara Bonetti, and Simone Fatichi. “Controls of Ecohydrological
    Grassland Dynamics in Agrivoltaic Systems.” <i>Earth’s Future</i>. American Geophysical
    Union, 2025. <a href="https://doi.org/10.1029/2024ef005183">https://doi.org/10.1029/2024ef005183</a>.
  ieee: A. Paschalis, S. Bonetti, and S. Fatichi, “Controls of ecohydrological grassland
    dynamics in agrivoltaic systems,” <i>Earth’s Future</i>, vol. 13, no. 3. American
    Geophysical Union, 2025.
  ista: Paschalis A, Bonetti S, Fatichi S. 2025. Controls of ecohydrological grassland
    dynamics in agrivoltaic systems. Earth’s Future. 13(3), e2024EF005183.
  mla: Paschalis, Athanasios, et al. “Controls of Ecohydrological Grassland Dynamics
    in Agrivoltaic Systems.” <i>Earth’s Future</i>, vol. 13, no. 3, e2024EF005183,
    American Geophysical Union, 2025, doi:<a href="https://doi.org/10.1029/2024ef005183">10.1029/2024ef005183</a>.
  short: A. Paschalis, S. Bonetti, S. Fatichi, Earth’s Future 13 (2025).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2025-03-01T00:00:00Z
date_updated: 2026-07-30T11:46:07Z
day: '01'
ddc:
- '550'
doi: 10.1029/2024ef005183
extern: '1'
has_accepted_license: '1'
intvolume: '        13'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2024EF005183
month: '03'
oa: 1
oa_version: Published Version
publication: Earth's Future
publication_identifier:
  eissn:
  - 2328-4277
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Controls of ecohydrological grassland dynamics in agrivoltaic systems
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22444'
abstract:
- lang: eng
  text: <jats:p>Abstract. Hydro-pedotransfer functions (PTFs) relate easy-to-measure
    and readily available soil information to soil hydraulic properties (SHPs) for
    applications in a wide range of process-based and empirical models, thereby enabling
    the assessment of soil hydraulic effects on hydrological, biogeochemical, and
    ecological processes. At least more than 4 decades of research have been invested
    to derive such relationships. However, while models, methods, data storage capacity,
    and computational efficiency have advanced, there are fundamental concerns related
    to the scope and adequacy of current PTFs, particularly when applied to parameterise
    models used at the field scale and beyond. Most of the PTF development process
    has focused on refining and advancing the regression methods, while fundamental
    aspects have remained largely unconsidered. Most soil systems are not represented
    in PTFs, which have been built mostly for agricultural soils in temperate climates.
    Thus, existing PTFs largely ignore how parent material, vegetation, land use,
    and climate affect processes that shape SHPs. The PTFs used to parameterise the
    Richards–Richardson equation are mostly limited to predicting parameters of the
    van Genuchten–Mualem soil hydraulic functions, despite sufficient evidence demonstrating
    their shortcomings. Another fundamental issue relates to the diverging scales
    of derivation and application, whereby PTFs are derived based on laboratory measurements
    while often being applied at the field to regional scales. Scaling, modulation,
    and constraining strategies exist to alleviate some of these shortcomings in the
    mismatch between scales. These aspects are addressed here in a joint effort by
    the members of the International Soil Modelling Consortium (ISMC) Pedotransfer
    Functions Working Group with the aim of systematising PTF research and providing
    a roadmap guiding both PTF development and use. We close with a 10-point catalogue
    for funders and researchers to guide review processes and research.</jats:p>
article_processing_charge: No
article_type: original
author:
- first_name: Tobias Karl David
  full_name: Weber, Tobias Karl David
  last_name: Weber
- first_name: Lutz
  full_name: Weihermüller, Lutz
  last_name: Weihermüller
- first_name: Attila
  full_name: Nemes, Attila
  last_name: Nemes
- first_name: Michel
  full_name: Bechtold, Michel
  last_name: Bechtold
- first_name: Aurore
  full_name: Degré, Aurore
  last_name: Degré
- first_name: Efstathios
  full_name: Diamantopoulos, Efstathios
  last_name: Diamantopoulos
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Vilim
  full_name: Filipović, Vilim
  last_name: Filipović
- first_name: Surya
  full_name: Gupta, Surya
  last_name: Gupta
- first_name: Tobias L.
  full_name: Hohenbrink, Tobias L.
  last_name: Hohenbrink
- first_name: Daniel R.
  full_name: Hirmas, Daniel R.
  last_name: Hirmas
- first_name: Conrad
  full_name: Jackisch, Conrad
  last_name: Jackisch
- first_name: Quirijn
  full_name: de Jong van Lier, Quirijn
  last_name: de Jong van Lier
- first_name: John
  full_name: Koestel, John
  last_name: Koestel
- first_name: Peter
  full_name: Lehmann, Peter
  last_name: Lehmann
- first_name: Toby R.
  full_name: Marthews, Toby R.
  last_name: Marthews
- first_name: Budiman
  full_name: Minasny, Budiman
  last_name: Minasny
- first_name: Holger
  full_name: Pagel, Holger
  last_name: Pagel
- first_name: Martine
  full_name: van der Ploeg, Martine
  last_name: van der Ploeg
- first_name: Shahab Aldin
  full_name: Shojaeezadeh, Shahab Aldin
  last_name: Shojaeezadeh
- first_name: Simon Fiil
  full_name: Svane, Simon Fiil
  last_name: Svane
- first_name: Brigitta
  full_name: Szabó, Brigitta
  last_name: Szabó
- first_name: Harry
  full_name: Vereecken, Harry
  last_name: Vereecken
- first_name: Anne
  full_name: Verhoef, Anne
  last_name: Verhoef
- first_name: Michael
  full_name: Young, Michael
  last_name: Young
- first_name: Yijian
  full_name: Zeng, Yijian
  last_name: Zeng
- first_name: Yonggen
  full_name: Zhang, Yonggen
  last_name: Zhang
- first_name: Sara
  full_name: Bonetti, Sara
  last_name: Bonetti
citation:
  ama: 'Weber TKD, Weihermüller L, Nemes A, et al. Hydro-pedotransfer functions: A
    roadmap for future development. <i>Hydrology and Earth System Sciences</i>. 2024;28(14):3391-3433.
    doi:<a href="https://doi.org/10.5194/hess-28-3391-2024">10.5194/hess-28-3391-2024</a>'
  apa: 'Weber, T. K. D., Weihermüller, L., Nemes, A., Bechtold, M., Degré, A., Diamantopoulos,
    E., … Bonetti, S. (2024). Hydro-pedotransfer functions: A roadmap for future development.
    <i>Hydrology and Earth System Sciences</i>. Copernicus Publications. <a href="https://doi.org/10.5194/hess-28-3391-2024">https://doi.org/10.5194/hess-28-3391-2024</a>'
  chicago: 'Weber, Tobias Karl David, Lutz Weihermüller, Attila Nemes, Michel Bechtold,
    Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, et al. “Hydro-Pedotransfer
    Functions: A Roadmap for Future Development.” <i>Hydrology and Earth System Sciences</i>.
    Copernicus Publications, 2024. <a href="https://doi.org/10.5194/hess-28-3391-2024">https://doi.org/10.5194/hess-28-3391-2024</a>.'
  ieee: 'T. K. D. Weber <i>et al.</i>, “Hydro-pedotransfer functions: A roadmap for
    future development,” <i>Hydrology and Earth System Sciences</i>, vol. 28, no.
    14. Copernicus Publications, pp. 3391–3433, 2024.'
  ista: 'Weber TKD, Weihermüller L, Nemes A, Bechtold M, Degré A, Diamantopoulos E,
    Fatichi S, Filipović V, Gupta S, Hohenbrink TL, Hirmas DR, Jackisch C, de Jong
    van Lier Q, Koestel J, Lehmann P, Marthews TR, Minasny B, Pagel H, van der Ploeg
    M, Shojaeezadeh SA, Svane SF, Szabó B, Vereecken H, Verhoef A, Young M, Zeng Y,
    Zhang Y, Bonetti S. 2024. Hydro-pedotransfer functions: A roadmap for future development.
    Hydrology and Earth System Sciences. 28(14), 3391–3433.'
  mla: 'Weber, Tobias Karl David, et al. “Hydro-Pedotransfer Functions: A Roadmap
    for Future Development.” <i>Hydrology and Earth System Sciences</i>, vol. 28,
    no. 14, Copernicus Publications, 2024, pp. 3391–433, doi:<a href="https://doi.org/10.5194/hess-28-3391-2024">10.5194/hess-28-3391-2024</a>.'
  short: T.K.D. Weber, L. Weihermüller, A. Nemes, M. Bechtold, A. Degré, E. Diamantopoulos,
    S. Fatichi, V. Filipović, S. Gupta, T.L. Hohenbrink, D.R. Hirmas, C. Jackisch,
    Q. de Jong van Lier, J. Koestel, P. Lehmann, T.R. Marthews, B. Minasny, H. Pagel,
    M. van der Ploeg, S.A. Shojaeezadeh, S.F. Svane, B. Szabó, H. Vereecken, A. Verhoef,
    M. Young, Y. Zeng, Y. Zhang, S. Bonetti, Hydrology and Earth System Sciences 28
    (2024) 3391–3433.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-07-29T00:00:00Z
date_updated: 2026-07-30T11:43:29Z
day: '29'
ddc:
- '550'
doi: 10.5194/hess-28-3391-2024
extern: '1'
has_accepted_license: '1'
intvolume: '        28'
issue: '14'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5194/hess-28-3391-2024
month: '07'
oa: 1
oa_version: Published Version
page: 3391-3433
publication: Hydrology and Earth System Sciences
publication_identifier:
  eissn:
  - 1607-7938
  issn:
  - 1027-5606
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Hydro-pedotransfer functions: A roadmap for future development'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 28
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22485'
abstract:
- lang: eng
  text: Allometric scaling relations are widely used to link biological processes
    to body size in nature. Several studies have shown that such scaling laws hold
    also for natural ecosystems, including individual trees and forests, riverine
    metabolism, and river network organization. However, the derivation of scaling
    laws for catchment-scale water and carbon fluxes has not been achieved so far.
    Here, we focus on scaling relations of catchment green metabolism, defined as
    the set of ecohydrological and biogeochemical processes through which vegetation
    assemblages in catchments maintain their structure and react to the surrounding
    environment. By revising existing plant size–density relationships and integrating
    them across large-scale domains, we show that the ecohydrological fluxes occurring
    at the catchment scale are invariant with respect to the above-ground vegetation
    biomass per unit area of the basin, while they scale linearly with catchment size.
    We thus demonstrate that the sublinear scaling of plant metabolism results in
    an isometric scaling at catchment and regional scales. Deviations from such predictions
    are further shown to collapse onto a common distribution, thus incorporating natural
    fluctuations due to resource limitations into a generalized scaling theory. Results
    from scaling arguments are supported by hyperresolution ecohydrological simulations
    and remote sensing observations.
article_number: e2410736121
article_processing_charge: No
article_type: original
author:
- first_name: Francesca
  full_name: Bassani, Francesca
  last_name: Bassani
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Andrea
  full_name: Rinaldo, Andrea
  last_name: Rinaldo
- first_name: Sara
  full_name: Bonetti, Sara
  last_name: Bonetti
citation:
  ama: 'Bassani F, Fatichi S, Rinaldo A, Bonetti S. Toward a metabolic theory of catchments:
    Scaling of water and carbon fluxes with size. <i>Proceedings of the National Academy
    of Sciences</i>. 2024;121(42). doi:<a href="https://doi.org/10.1073/pnas.2410736121">10.1073/pnas.2410736121</a>'
  apa: 'Bassani, F., Fatichi, S., Rinaldo, A., &#38; Bonetti, S. (2024). Toward a
    metabolic theory of catchments: Scaling of water and carbon fluxes with size.
    <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences.
    <a href="https://doi.org/10.1073/pnas.2410736121">https://doi.org/10.1073/pnas.2410736121</a>'
  chicago: 'Bassani, Francesca, Simone Fatichi, Andrea Rinaldo, and Sara Bonetti.
    “Toward a Metabolic Theory of Catchments: Scaling of Water and Carbon Fluxes with
    Size.” <i>Proceedings of the National Academy of Sciences</i>. National Academy
    of Sciences, 2024. <a href="https://doi.org/10.1073/pnas.2410736121">https://doi.org/10.1073/pnas.2410736121</a>.'
  ieee: 'F. Bassani, S. Fatichi, A. Rinaldo, and S. Bonetti, “Toward a metabolic theory
    of catchments: Scaling of water and carbon fluxes with size,” <i>Proceedings of
    the National Academy of Sciences</i>, vol. 121, no. 42. National Academy of Sciences,
    2024.'
  ista: 'Bassani F, Fatichi S, Rinaldo A, Bonetti S. 2024. Toward a metabolic theory
    of catchments: Scaling of water and carbon fluxes with size. Proceedings of the
    National Academy of Sciences. 121(42), e2410736121.'
  mla: 'Bassani, Francesca, et al. “Toward a Metabolic Theory of Catchments: Scaling
    of Water and Carbon Fluxes with Size.” <i>Proceedings of the National Academy
    of Sciences</i>, vol. 121, no. 42, e2410736121, National Academy of Sciences,
    2024, doi:<a href="https://doi.org/10.1073/pnas.2410736121">10.1073/pnas.2410736121</a>.'
  short: F. Bassani, S. Fatichi, A. Rinaldo, S. Bonetti, Proceedings of the National
    Academy of Sciences 121 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-10-09T00:00:00Z
date_updated: 2026-07-30T11:27:23Z
day: '09'
ddc:
- '550'
doi: 10.1073/pnas.2410736121
extern: '1'
has_accepted_license: '1'
intvolume: '       121'
issue: '42'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1073/pnas.2410736121
month: '10'
oa: 1
oa_version: Published Version
publication: Proceedings of the National Academy of Sciences
publication_identifier:
  eissn:
  - 1091-6490
  issn:
  - 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Toward a metabolic theory of catchments: Scaling of water and carbon fluxes
  with size'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 121
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22453'
abstract:
- lang: eng
  text: As climate change intensifies, cities globally are experiencing more severe
    rainfall and frequent pluvial floods. Urban expansion is altering the permeability
    of the land, thus increasing the risk of flooding. This study investigates the
    impact of urban morphology on pluvial floodwater distribution in 15 urban catchments
    across England, UK, to provide an analysis of how urban morphology influences
    flood magnitude. Using a cellular automata-based model, pluvial flood simulations
    were conducted for catchments characterized by diverse urban morphologies. Then
    a series of machine learning models were adopted to reveal the relationships between
    the morphological characteristics of urban configurations (e.g., building footprints,
    impervious surfaces, street network, topography) and pluvial flooding. These models
    were used to identify and quantify the effects of key urban morphological indicators
    on pluvial flooding. The results indicate that, although the total area of impervious
    surfaces plays the most significant role in floodwater distribution, the edge
    density (ED) of building footprints and impervious surfaces also influences this
    process. Synthetic experiments with an exemplary urban fabric show that decreasing
    “ED of building footprint” and increasing “ED of impervious surface” can mitigate
    flood volume by up to 6.3 % at 100 % drainage efficiency and 7.8 % at 50 % efficiency.
    The results of this study are anticipated to aid urban planners and policymakers
    in developing strategies for implementing flood-resilient cities.
article_number: '176139'
article_processing_charge: No
article_type: original
author:
- first_name: Yue
  full_name: Zhu, Yue
  last_name: Zhu
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Puay Yok
  full_name: Tan, Puay Yok
  last_name: Tan
- first_name: Jovan
  full_name: Blagojevic, Jovan
  last_name: Blagojevic
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: 'Zhu Y, Burlando P, Tan PY, Blagojevic J, Fatichi S. Investigating the influence
    of urban morphology on pluvial flooding: Insights from urban catchments in England
    (UK). <i>Science of The Total Environment</i>. 2024;953. doi:<a href="https://doi.org/10.1016/j.scitotenv.2024.176139">10.1016/j.scitotenv.2024.176139</a>'
  apa: 'Zhu, Y., Burlando, P., Tan, P. Y., Blagojevic, J., &#38; Fatichi, S. (2024).
    Investigating the influence of urban morphology on pluvial flooding: Insights
    from urban catchments in England (UK). <i>Science of The Total Environment</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.scitotenv.2024.176139">https://doi.org/10.1016/j.scitotenv.2024.176139</a>'
  chicago: 'Zhu, Yue, Paolo Burlando, Puay Yok Tan, Jovan Blagojevic, and Simone Fatichi.
    “Investigating the Influence of Urban Morphology on Pluvial Flooding: Insights
    from Urban Catchments in England (UK).” <i>Science of The Total Environment</i>.
    Elsevier, 2024. <a href="https://doi.org/10.1016/j.scitotenv.2024.176139">https://doi.org/10.1016/j.scitotenv.2024.176139</a>.'
  ieee: 'Y. Zhu, P. Burlando, P. Y. Tan, J. Blagojevic, and S. Fatichi, “Investigating
    the influence of urban morphology on pluvial flooding: Insights from urban catchments
    in England (UK),” <i>Science of The Total Environment</i>, vol. 953. Elsevier,
    2024.'
  ista: 'Zhu Y, Burlando P, Tan PY, Blagojevic J, Fatichi S. 2024. Investigating the
    influence of urban morphology on pluvial flooding: Insights from urban catchments
    in England (UK). Science of The Total Environment. 953, 176139.'
  mla: 'Zhu, Yue, et al. “Investigating the Influence of Urban Morphology on Pluvial
    Flooding: Insights from Urban Catchments in England (UK).” <i>Science of The Total
    Environment</i>, vol. 953, 176139, Elsevier, 2024, doi:<a href="https://doi.org/10.1016/j.scitotenv.2024.176139">10.1016/j.scitotenv.2024.176139</a>.'
  short: Y. Zhu, P. Burlando, P.Y. Tan, J. Blagojevic, S. Fatichi, Science of The
    Total Environment 953 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-11-25T00:00:00Z
date_updated: 2026-07-30T11:40:38Z
day: '25'
ddc:
- '550'
doi: 10.1016/j.scitotenv.2024.176139
extern: '1'
has_accepted_license: '1'
intvolume: '       953'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.scitotenv.2024.176139
month: '11'
oa: 1
oa_version: Published Version
publication: Science of The Total Environment
publication_identifier:
  issn:
  - 0048-9697
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Investigating the influence of urban morphology on pluvial flooding: Insights
  from urban catchments in England (UK)'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 953
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '22491'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>Microbial carbon use efficiency (CUE)
    is an important variable mediating microbial effects on soil organic carbon (SOC)
    since it summarizes how much carbon is used for microbial growth or is respired.
    Yet, the role of CUE in regulating SOC storage remains debated, with evidence
    for both positive and negative SOC‐CUE relations. Here, we use a combination of
    measured data around the world and numerical simulations to explore SOC‐CUE relations
    accounting for temperature (T) effects on CUE. Results reveal that the sign of
    the CUE‐T relation controls the direction of the SOC‐CUE relations. A negative
    CUE‐T relation leads to a positive SOC‐CUE relation and vice versa, highlighting
    that CUE‐T patterns significantly affect how organic carbon is used by microbes
    and hence SOC‐CUE relations. Numerical results also confirm the observed negative
    SOC‐T relation, regardless of the CUE‐T patterns, implying that temperature plays
    a more dominant role than CUE in controlling SOC storage. The SOC‐CUE relation
    is usually negative when temperature effects are isolated, even though it can
    become positive when nonlinear microbial turnover is considered. These results
    indicate a dominant role of CUE‐T patterns in controlling the SOC‐CUE relation.
    Our findings help to better understand SOC and microbial responses to a warming
    climate.</jats:p>
article_number: e17492
article_processing_charge: No
article_type: original
author:
- first_name: Zhaoyang
  full_name: Luo, Zhaoyang
  last_name: Luo
- first_name: Jianning
  full_name: Ren, Jianning
  last_name: Ren
- first_name: Stefano
  full_name: Manzoni, Stefano
  last_name: Manzoni
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Luo Z, Ren J, Manzoni S, Fatichi S. Temperature controls the relation between
    soil organic carbon and microbial carbon use efficiency. <i>Global Change Biology</i>.
    2024;30(9). doi:<a href="https://doi.org/10.1111/gcb.17492">10.1111/gcb.17492</a>
  apa: Luo, Z., Ren, J., Manzoni, S., &#38; Fatichi, S. (2024). Temperature controls
    the relation between soil organic carbon and microbial carbon use efficiency.
    <i>Global Change Biology</i>. Wiley. <a href="https://doi.org/10.1111/gcb.17492">https://doi.org/10.1111/gcb.17492</a>
  chicago: Luo, Zhaoyang, Jianning Ren, Stefano Manzoni, and Simone Fatichi. “Temperature
    Controls the Relation between Soil Organic Carbon and Microbial Carbon Use Efficiency.”
    <i>Global Change Biology</i>. Wiley, 2024. <a href="https://doi.org/10.1111/gcb.17492">https://doi.org/10.1111/gcb.17492</a>.
  ieee: Z. Luo, J. Ren, S. Manzoni, and S. Fatichi, “Temperature controls the relation
    between soil organic carbon and microbial carbon use efficiency,” <i>Global Change
    Biology</i>, vol. 30, no. 9. Wiley, 2024.
  ista: Luo Z, Ren J, Manzoni S, Fatichi S. 2024. Temperature controls the relation
    between soil organic carbon and microbial carbon use efficiency. Global Change
    Biology. 30(9), e17492.
  mla: Luo, Zhaoyang, et al. “Temperature Controls the Relation between Soil Organic
    Carbon and Microbial Carbon Use Efficiency.” <i>Global Change Biology</i>, vol.
    30, no. 9, e17492, Wiley, 2024, doi:<a href="https://doi.org/10.1111/gcb.17492">10.1111/gcb.17492</a>.
  short: Z. Luo, J. Ren, S. Manzoni, S. Fatichi, Global Change Biology 30 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-07-30T11:12:07Z
day: '01'
ddc:
- '550'
doi: 10.1111/gcb.17492
extern: '1'
has_accepted_license: '1'
intvolume: '        30'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1111/gcb.17492
month: '09'
oa: 1
oa_version: Published Version
publication: Global Change Biology
publication_identifier:
  eissn:
  - 1365-2486
  issn:
  - 1354-1013
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Temperature controls the relation between soil organic carbon and microbial
  carbon use efficiency
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2024'
...
---
OA_type: closed access
_id: '22487'
abstract:
- lang: eng
  text: As an important part of global semi-arid grassland, adequately understanding
    how eco-hydrological processes in the Temperate Semi-Arid Grassland of China (TSGC)
    respond to environmental change over a century-long time scale is of critical
    importance to environmental change adaptation and mitigation policy in the semi-arid
    region. We investigated the dynamics and driving forces of key eco-hydrological
    variables (leaf area index (LAI), gross primary production (GPP), evapotranspiration
    (ET), water yield (WY), and water use efficiency (WUE)) of 8 typical locations
    within the TSGC during the period 1901–2016, using a well-tested mechanistic eco-hydrological
    model, seamlessly integrating land-surface energy balance, hydrological and carbon
    cycle, vegetation dynamics, and soil biogeochemistry. Results show that dominated
    by the elevated CO2, the annual LAI, GPP, and WUE increased significantly during
    1901–2016, indicating that the environmental conditions were conducive to vegetation
    growth. Warming conditions were a promoter of vegetation growth in sandy grassland
    but a suppressant in typical steppe due to water stress increase. For the same
    reason, ET of sandy grassland exhibited a significant increasing trend, in response
    to warming, while that of typical steppe had an insignificant decreasing trend,
    controlled by the precipitation decline. Warming and the vegetation growth acceleration
    due to the elevated CO2 negatively influenced WY, which showed a decreasing trend,
    especially in the sandy grassland, suggesting the reduction of available water
    resources. Overall, our results revealed that this region, especially sandy grassland,
    exhibited an “enhanced vegetation but decreased water yield” trend under environmental
    changes occurred in the past century.
article_number: '129235'
article_processing_charge: No
article_type: original
author:
- first_name: Xinxin
  full_name: Pang, Xinxin
  last_name: Pang
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Huimin
  full_name: Lei, Huimin
  last_name: Lei
- first_name: Zhentao
  full_name: Cong, Zhentao
  last_name: Cong
- first_name: Hanbo
  full_name: Yang, Hanbo
  last_name: Yang
- first_name: Limin
  full_name: Duan, Limin
  last_name: Duan
citation:
  ama: Pang X, Fatichi S, Lei H, Cong Z, Yang H, Duan L. Environmental changes promoted
    vegetation growth and reduced water yield over the temperate semi-arid grassland
    of China during 1901–2016. <i>Journal of Hydrology</i>. 2023;618. doi:<a href="https://doi.org/10.1016/j.jhydrol.2023.129235">10.1016/j.jhydrol.2023.129235</a>
  apa: Pang, X., Fatichi, S., Lei, H., Cong, Z., Yang, H., &#38; Duan, L. (2023).
    Environmental changes promoted vegetation growth and reduced water yield over
    the temperate semi-arid grassland of China during 1901–2016. <i>Journal of Hydrology</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.jhydrol.2023.129235">https://doi.org/10.1016/j.jhydrol.2023.129235</a>
  chicago: Pang, Xinxin, Simone Fatichi, Huimin Lei, Zhentao Cong, Hanbo Yang, and
    Limin Duan. “Environmental Changes Promoted Vegetation Growth and Reduced Water
    Yield over the Temperate Semi-Arid Grassland of China during 1901–2016.” <i>Journal
    of Hydrology</i>. Elsevier, 2023. <a href="https://doi.org/10.1016/j.jhydrol.2023.129235">https://doi.org/10.1016/j.jhydrol.2023.129235</a>.
  ieee: X. Pang, S. Fatichi, H. Lei, Z. Cong, H. Yang, and L. Duan, “Environmental
    changes promoted vegetation growth and reduced water yield over the temperate
    semi-arid grassland of China during 1901–2016,” <i>Journal of Hydrology</i>, vol.
    618. Elsevier, 2023.
  ista: Pang X, Fatichi S, Lei H, Cong Z, Yang H, Duan L. 2023. Environmental changes
    promoted vegetation growth and reduced water yield over the temperate semi-arid
    grassland of China during 1901–2016. Journal of Hydrology. 618, 129235.
  mla: Pang, Xinxin, et al. “Environmental Changes Promoted Vegetation Growth and
    Reduced Water Yield over the Temperate Semi-Arid Grassland of China during 1901–2016.”
    <i>Journal of Hydrology</i>, vol. 618, 129235, Elsevier, 2023, doi:<a href="https://doi.org/10.1016/j.jhydrol.2023.129235">10.1016/j.jhydrol.2023.129235</a>.
  short: X. Pang, S. Fatichi, H. Lei, Z. Cong, H. Yang, L. Duan, Journal of Hydrology
    618 (2023).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2023-03-01T00:00:00Z
date_updated: 2026-07-30T11:01:14Z
day: '01'
doi: 10.1016/j.jhydrol.2023.129235
extern: '1'
intvolume: '       618'
language:
- iso: eng
month: '03'
oa_version: None
publication: Journal of Hydrology
publication_identifier:
  eissn:
  - 1879-2707
  issn:
  - 0022-1694
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Environmental changes promoted vegetation growth and reduced water yield over
  the temperate semi-arid grassland of China during 1901–2016
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 618
year: '2023'
...
---
OA_type: closed access
_id: '22434'
abstract:
- lang: eng
  text: Evapotranspiration (ET) — the distribution and partitioning of which is strongly
    mediated by vegetation — is central to the water, energy and carbon cycles. In
    this Review, we examine the spatiotemporal patterns of ET changes and their linkages
    with vegetation. A multi-decadal and accelerating rise in global ET is apparent
    since the 1980s. Diagnostic data sets indicate increases of 0.66 ± 0.38 mm year−2
    (mean ± one standard deviation) over 1982–2011 and 1.19 ± 0.31 mm year−2 over
    2001–2020. These changes are largely related to vegetation greening (increasing
    leaf area index (LAI)), hence large ET increases occur in northern high latitudes
    where greening predominates; increased precipitation and enhanced atmospheric
    evaporative demand have secondary roles. The impacts of specific drivers of vegetation
    change on ET, such as CO2 fertilization, land use change and nitrogen deposition,
    are uncertain and difficult to quantify at the global scale but have strong impacts
    at local and/or regional scales. Owing to projected increases in LAI, global ET
    is expected to continue rising with future anthropogenic warming, although ET
    sensitivity to greening is lower than in the present climate. Enhanced model validation
    with respect to long-term trends and ET partitioning, improved mechanistic understanding
    of key processes and greater data-model fusion techniques are essential for improved
    understanding of ET characteristics.
article_processing_charge: No
article_type: original
author:
- first_name: Yuting
  full_name: Yang, Yuting
  last_name: Yang
- first_name: Michael L.
  full_name: Roderick, Michael L.
  last_name: Roderick
- first_name: Hui
  full_name: Guo, Hui
  last_name: Guo
- first_name: Diego G.
  full_name: Miralles, Diego G.
  last_name: Miralles
- first_name: Lu
  full_name: Zhang, Lu
  last_name: Zhang
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Xiangzhong
  full_name: Luo, Xiangzhong
  last_name: Luo
- first_name: Yongqiang
  full_name: Zhang, Yongqiang
  last_name: Zhang
- first_name: Tim R.
  full_name: McVicar, Tim R.
  last_name: McVicar
- first_name: Zhuoyi
  full_name: Tu, Zhuoyi
  last_name: Tu
- first_name: Trevor F.
  full_name: Keenan, Trevor F.
  last_name: Keenan
- first_name: Joshua B.
  full_name: Fisher, Joshua B.
  last_name: Fisher
- first_name: Rong
  full_name: Gan, Rong
  last_name: Gan
- first_name: Xuanze
  full_name: Zhang, Xuanze
  last_name: Zhang
- first_name: Shilong
  full_name: Piao, Shilong
  last_name: Piao
- first_name: Baoqing
  full_name: Zhang, Baoqing
  last_name: Zhang
- first_name: Dawen
  full_name: Yang, Dawen
  last_name: Yang
citation:
  ama: Yang Y, Roderick ML, Guo H, et al. Evapotranspiration on a greening Earth.
    <i>Nature Reviews Earth &#38; Environment</i>. 2023;4(9):626-641. doi:<a href="https://doi.org/10.1038/s43017-023-00464-3">10.1038/s43017-023-00464-3</a>
  apa: Yang, Y., Roderick, M. L., Guo, H., Miralles, D. G., Zhang, L., Fatichi, S.,
    … Yang, D. (2023). Evapotranspiration on a greening Earth. <i>Nature Reviews Earth
    &#38; Environment</i>. Springer Nature. <a href="https://doi.org/10.1038/s43017-023-00464-3">https://doi.org/10.1038/s43017-023-00464-3</a>
  chicago: Yang, Yuting, Michael L. Roderick, Hui Guo, Diego G. Miralles, Lu Zhang,
    Simone Fatichi, Xiangzhong Luo, et al. “Evapotranspiration on a Greening Earth.”
    <i>Nature Reviews Earth &#38; Environment</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s43017-023-00464-3">https://doi.org/10.1038/s43017-023-00464-3</a>.
  ieee: Y. Yang <i>et al.</i>, “Evapotranspiration on a greening Earth,” <i>Nature
    Reviews Earth &#38; Environment</i>, vol. 4, no. 9. Springer Nature, pp. 626–641,
    2023.
  ista: Yang Y, Roderick ML, Guo H, Miralles DG, Zhang L, Fatichi S, Luo X, Zhang
    Y, McVicar TR, Tu Z, Keenan TF, Fisher JB, Gan R, Zhang X, Piao S, Zhang B, Yang
    D. 2023. Evapotranspiration on a greening Earth. Nature Reviews Earth &#38; Environment.
    4(9), 626–641.
  mla: Yang, Yuting, et al. “Evapotranspiration on a Greening Earth.” <i>Nature Reviews
    Earth &#38; Environment</i>, vol. 4, no. 9, Springer Nature, 2023, pp. 626–41,
    doi:<a href="https://doi.org/10.1038/s43017-023-00464-3">10.1038/s43017-023-00464-3</a>.
  short: Y. Yang, M.L. Roderick, H. Guo, D.G. Miralles, L. Zhang, S. Fatichi, X. Luo,
    Y. Zhang, T.R. McVicar, Z. Tu, T.F. Keenan, J.B. Fisher, R. Gan, X. Zhang, S.
    Piao, B. Zhang, D. Yang, Nature Reviews Earth &#38; Environment 4 (2023) 626–641.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2023-09-01T00:00:00Z
date_updated: 2026-07-30T11:03:47Z
day: '01'
doi: 10.1038/s43017-023-00464-3
extern: '1'
intvolume: '         4'
issue: '9'
language:
- iso: eng
month: '09'
oa_version: None
page: 626-641
publication: Nature Reviews Earth & Environment
publication_identifier:
  eissn:
  - 2662-138X
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evapotranspiration on a greening Earth
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22461'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>A major challenge in assessing the
    impacts of climate change on hydrological processes lies in dealing with large
    degrees of uncertainty in the future climate projections. Part of the uncertainty
    is owed to the intrinsic randomness of climate phenomena, which is considered
    irreducible. Additionally, modelling the response of hydrological processes to
    the changing climate requires the use of a chain of numerical models, each of
    which contributes some degree of uncertainty to the final outputs. As a result,
    hydrological projections, despite the progressive increase in the accuracy of
    the models along the chain, still display high levels of uncertainty, especially
    at small temporal and spatial scales. In this work, we present a framework to
    quantify and partition the uncertainty of hydrological processes emerging from
    climate models and internal variability, across a broad range of scales. Using
    the example of two mountainous catchments in Switzerland, we produced high‐resolution
    ensembles of climate and hydrological data using a two‐dimensional weather generator
    (AWE‐GEN‐ 2d) and a distributed hydrological model (TOPKAPI‐ETH). We quantified
    the uncertainty in hydrological projections towards the end of the century through
    the estimation of the values of signal‐to‐noise ratios (STNR). We found small
    STNR absolute values (&lt;1) in the projection of annual streamflow for most sub‐catchments
    in both study sites that are dominated by the large natural variability of precipitation
    (explains ~70% of total uncertainty). Furthermore, we investigated in detail specific
    hydrological components that are critical in the model chain. For example, snowmelt
    and liquid precipitation exhibit robust change signals, which translates into
    high STNR values for streamflow during warm seasons and at higher elevations,
    together with a larger contribution of climate model uncertainty. In contrast,
    projections of extreme high flows show low STNR values due to large internal climate
    variability across all elevations, which limits the potential for narrowing their
    estimation uncertainty.</jats:p>
article_number: e14695
article_processing_charge: No
article_type: original
author:
- first_name: Jorge Sebastián
  full_name: Moraga, Jorge Sebastián
  last_name: Moraga
- first_name: Nadav
  full_name: Peleg, Nadav
  last_name: Peleg
- first_name: Peter
  full_name: Molnar, Peter
  last_name: Molnar
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
citation:
  ama: 'Moraga JS, Peleg N, Molnar P, Fatichi S, Burlando P. Uncertainty in high‐resolution
    hydrological projections: Partitioning the influence of climate models and natural
    climate variability. <i>Hydrological Processes</i>. 2022;36(10). doi:<a href="https://doi.org/10.1002/hyp.14695">10.1002/hyp.14695</a>'
  apa: 'Moraga, J. S., Peleg, N., Molnar, P., Fatichi, S., &#38; Burlando, P. (2022).
    Uncertainty in high‐resolution hydrological projections: Partitioning the influence
    of climate models and natural climate variability. <i>Hydrological Processes</i>.
    Wiley. <a href="https://doi.org/10.1002/hyp.14695">https://doi.org/10.1002/hyp.14695</a>'
  chicago: 'Moraga, Jorge Sebastián, Nadav Peleg, Peter Molnar, Simone Fatichi, and
    Paolo Burlando. “Uncertainty in High‐resolution Hydrological Projections: Partitioning
    the Influence of Climate Models and Natural Climate Variability.” <i>Hydrological
    Processes</i>. Wiley, 2022. <a href="https://doi.org/10.1002/hyp.14695">https://doi.org/10.1002/hyp.14695</a>.'
  ieee: 'J. S. Moraga, N. Peleg, P. Molnar, S. Fatichi, and P. Burlando, “Uncertainty
    in high‐resolution hydrological projections: Partitioning the influence of climate
    models and natural climate variability,” <i>Hydrological Processes</i>, vol. 36,
    no. 10. Wiley, 2022.'
  ista: 'Moraga JS, Peleg N, Molnar P, Fatichi S, Burlando P. 2022. Uncertainty in
    high‐resolution hydrological projections: Partitioning the influence of climate
    models and natural climate variability. Hydrological Processes. 36(10), e14695.'
  mla: 'Moraga, Jorge Sebastián, et al. “Uncertainty in High‐resolution Hydrological
    Projections: Partitioning the Influence of Climate Models and Natural Climate
    Variability.” <i>Hydrological Processes</i>, vol. 36, no. 10, e14695, Wiley, 2022,
    doi:<a href="https://doi.org/10.1002/hyp.14695">10.1002/hyp.14695</a>.'
  short: J.S. Moraga, N. Peleg, P. Molnar, S. Fatichi, P. Burlando, Hydrological Processes
    36 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-07-30T10:39:42Z
day: '01'
ddc:
- '550'
doi: 10.1002/hyp.14695
extern: '1'
has_accepted_license: '1'
intvolume: '        36'
issue: '10'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/hyp.14695
month: '10'
oa: 1
oa_version: Published Version
publication: Hydrological Processes
publication_identifier:
  eissn:
  - 1099-1085
  issn:
  - 0885-6087
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Uncertainty in high‐resolution hydrological projections: Partitioning the
  influence of climate models and natural climate variability'
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22492'
abstract:
- lang: eng
  text: Changes in rainfall associated with climate change are expected to affect
    the tightly coupled water‐carbon ecosystem dynamics. Here, we study the effects
    of altered rainfall at 33 sites in North America, as projected by the high‐resolution/high‐fidelity
    (∼4 km, 1 hr) continental‐wide Weather Research Forecasting (WRF) convection‐permitting
    model under a high‐emission scenario (RCP 8.5). We make use of a stochastic weather
    generator to extend WRF outputs, accounting for natural variability and simultaneously
    separate the changes in total rainfall, its seasonality, and its intraseasonal
    pattern. We used these rainfall scenarios to study ecosystem responses with the
    state‐of‐the‐art Tethys‐Chloris terrestrial biosphere model. Model simulations
    suggest that increases in mean annual rainfall dominate ecosystem responses at
    dry sites, while wet sites are less sensitive to rainfall changes. Sites of intermediate
    wetness face reductions in productivity, due to reduced growing season rainfall
    and increased water losses under altered seasonality, which outpace any possible
    benefits induced by increases in mean annual totals. Changes in the fine‐scale
    temporal structure of rainfall have an insignificant impact on ecosystem productivity
    and only alter hydrological dynamics, contradicting expectations based on some
    field experiments, which, however, are not tailored to directly quantify climate
    change impacts, but rather to understand the mechanisms leading to ecosystem responses.
    We further demonstrate how approaches following the “fewer but larger rainfall
    events” concept might exacerbate ecosystem responses.
article_number: e2021JG006735
article_processing_charge: No
article_type: original
author:
- first_name: Yiannis
  full_name: Moustakis, Yiannis
  last_name: Moustakis
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Christian
  full_name: Onof, Christian
  last_name: Onof
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
citation:
  ama: 'Moustakis Y, Fatichi S, Onof C, Paschalis A. Insensitivity of ecosystem productivity
    to predicted changes in fine‐scale rainfall variability. <i>Journal of Geophysical
    Research: Biogeosciences</i>. 2022;127(2). doi:<a href="https://doi.org/10.1029/2021jg006735">10.1029/2021jg006735</a>'
  apa: 'Moustakis, Y., Fatichi, S., Onof, C., &#38; Paschalis, A. (2022). Insensitivity
    of ecosystem productivity to predicted changes in fine‐scale rainfall variability.
    <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union.
    <a href="https://doi.org/10.1029/2021jg006735">https://doi.org/10.1029/2021jg006735</a>'
  chicago: 'Moustakis, Yiannis, Simone Fatichi, Christian Onof, and Athanasios Paschalis.
    “Insensitivity of Ecosystem Productivity to Predicted Changes in Fine‐scale Rainfall
    Variability.” <i>Journal of Geophysical Research: Biogeosciences</i>. American
    Geophysical Union, 2022. <a href="https://doi.org/10.1029/2021jg006735">https://doi.org/10.1029/2021jg006735</a>.'
  ieee: 'Y. Moustakis, S. Fatichi, C. Onof, and A. Paschalis, “Insensitivity of ecosystem
    productivity to predicted changes in fine‐scale rainfall variability,” <i>Journal
    of Geophysical Research: Biogeosciences</i>, vol. 127, no. 2. American Geophysical
    Union, 2022.'
  ista: 'Moustakis Y, Fatichi S, Onof C, Paschalis A. 2022. Insensitivity of ecosystem
    productivity to predicted changes in fine‐scale rainfall variability. Journal
    of Geophysical Research: Biogeosciences. 127(2), e2021JG006735.'
  mla: 'Moustakis, Yiannis, et al. “Insensitivity of Ecosystem Productivity to Predicted
    Changes in Fine‐scale Rainfall Variability.” <i>Journal of Geophysical Research:
    Biogeosciences</i>, vol. 127, no. 2, e2021JG006735, American Geophysical Union,
    2022, doi:<a href="https://doi.org/10.1029/2021jg006735">10.1029/2021jg006735</a>.'
  short: 'Y. Moustakis, S. Fatichi, C. Onof, A. Paschalis, Journal of Geophysical
    Research: Biogeosciences 127 (2022).'
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-02-01T00:00:00Z
date_updated: 2026-07-30T09:37:01Z
day: '01'
ddc:
- '550'
doi: 10.1029/2021jg006735
extern: '1'
has_accepted_license: '1'
intvolume: '       127'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2021JG006735
month: '02'
oa: 1
oa_version: Published Version
publication: 'Journal of Geophysical Research: Biogeosciences'
publication_identifier:
  eissn:
  - 2169-8961
  issn:
  - 2169-8953
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Insensitivity of ecosystem productivity to predicted changes in fine‐scale
  rainfall variability
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 127
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22465'
abstract:
- lang: eng
  text: A spatially distributed trace metal transport and transformation module was
    developed and implemented within the hydrological model TOPKAPI-ETH. The new module
    can be used to better understand, at high spatial and temporal resolution, the
    transport and reactions of trace metals as they move through a catchment from
    upland sources to downstream areas and water bodies. The newly developed module
    takes into consideration solid metal in multiple chemical phases with different
    reactivity and simulates their mutual transformation over time, which gives the
    possibility to analyze the fraction of different solid metal phases present in
    the river suspended sediment. The characteristics and potential of the model are
    demonstrated by simulating Zinc (Zn) and Cadmium (Cd) dynamics in a headwater
    catchment of the Xiang River in South China, which has been highly perturbed by
    mining activities. The developed module is shown to reasonably reproduce the observed
    dynamics of dissolved and total trace metals flux for 14 months at two monitoring
    stations. The distributed solute transport model was proved to be capable of explaining
    the reasons underlying the spatial variability of C-Q relationships that are driven
    by the combined effect of point and non-point pollution sources, as well as identifying
    the spatiotemporal hotspots of trace metal pollution. By means of synthetic numerical
    experiments, a limited impact of slow reactions on dissolved Cd transport from
    upland to river over short-temporal scales was demonstrated, while for longer
    scales, e.g. >5 years, this effect becomes more relevant, highlighting potential
    long-lasting sources of trace metal pollution and their impacts.
article_number: '151473'
article_processing_charge: No
article_type: original
author:
- first_name: Chunming
  full_name: Sui, Chunming
  last_name: Sui
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Enrico
  full_name: Weber, Enrico
  last_name: Weber
- first_name: Giulia
  full_name: Battista, Giulia
  last_name: Battista
citation:
  ama: 'Sui C, Fatichi S, Burlando P, Weber E, Battista G. Modeling distributed metal
    pollution transport in a mine impacted catchment: Short and long-term effects.
    <i>Science of The Total Environment</i>. 2022;812. doi:<a href="https://doi.org/10.1016/j.scitotenv.2021.151473">10.1016/j.scitotenv.2021.151473</a>'
  apa: 'Sui, C., Fatichi, S., Burlando, P., Weber, E., &#38; Battista, G. (2022).
    Modeling distributed metal pollution transport in a mine impacted catchment: Short
    and long-term effects. <i>Science of The Total Environment</i>. Elsevier. <a href="https://doi.org/10.1016/j.scitotenv.2021.151473">https://doi.org/10.1016/j.scitotenv.2021.151473</a>'
  chicago: 'Sui, Chunming, Simone Fatichi, Paolo Burlando, Enrico Weber, and Giulia
    Battista. “Modeling Distributed Metal Pollution Transport in a Mine Impacted Catchment:
    Short and Long-Term Effects.” <i>Science of The Total Environment</i>. Elsevier,
    2022. <a href="https://doi.org/10.1016/j.scitotenv.2021.151473">https://doi.org/10.1016/j.scitotenv.2021.151473</a>.'
  ieee: 'C. Sui, S. Fatichi, P. Burlando, E. Weber, and G. Battista, “Modeling distributed
    metal pollution transport in a mine impacted catchment: Short and long-term effects,”
    <i>Science of The Total Environment</i>, vol. 812. Elsevier, 2022.'
  ista: 'Sui C, Fatichi S, Burlando P, Weber E, Battista G. 2022. Modeling distributed
    metal pollution transport in a mine impacted catchment: Short and long-term effects.
    Science of The Total Environment. 812, 151473.'
  mla: 'Sui, Chunming, et al. “Modeling Distributed Metal Pollution Transport in a
    Mine Impacted Catchment: Short and Long-Term Effects.” <i>Science of The Total
    Environment</i>, vol. 812, 151473, Elsevier, 2022, doi:<a href="https://doi.org/10.1016/j.scitotenv.2021.151473">10.1016/j.scitotenv.2021.151473</a>.'
  short: C. Sui, S. Fatichi, P. Burlando, E. Weber, G. Battista, Science of The Total
    Environment 812 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-03-01T00:00:00Z
date_updated: 2026-07-30T09:10:55Z
day: '01'
ddc:
- '550'
doi: 10.1016/j.scitotenv.2021.151473
extern: '1'
has_accepted_license: '1'
intvolume: '       812'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.scitotenv.2021.151473
month: '03'
oa: 1
oa_version: Published Version
publication: Science of The Total Environment
publication_identifier:
  eissn:
  - 1879-1026
  issn:
  - 0048-9697
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Modeling distributed metal pollution transport in a mine impacted catchment:
  Short and long-term effects'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 812
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22486'
abstract:
- lang: eng
  text: Short-duration extreme rainfall events are the main trigger of flash and pluvial
    floods in cities. Depending on the local climate zone and urban fabric that affect
    meteorological variables such as air temperature, humidity, and aerosol concentration,
    the built environment can either intensify or reduce extreme rainfall intensity.
    This study examined how urbanization in a large metropolitan area characterized
    by open low-rise buildings, affected sub-daily extreme rainfall intensities over
    the period between 2000 and 2018. The research was conducted in the metropolitan
    region of Phoenix, Arizona, which is supported by a large and dense rain-gauge
    network (168 stations). The built area increased by 6% between 2001 and 2016 and
    the number of residences by 300,000. Over the study period, sub-daily extreme
    rainfall intensities intensified both in the urbanized area and in its rural surroundings
    but the intensification trend within the built area was considerably larger (3
    times larger). We calculated a negative trend in aerosol concentration (−0.005
    AOD y−1) but a positive trend in near-surface air temperature that was considerably
    larger in the urban areas (0.15 °C y−1) as compared to the rural counterpart (0.09
    °C y−1) for the period between 2005 and 2018. Although built surfaces and open
    low-rise buildings contributed to an increase in air temperature, they did not
    affect air humidity. Changes in rainfall extremes approximately follow the Clausius–Clapeyron
    relation within the urban area with an increase at a rate of 7% °C−1. These results
    demonstrate that the warming effect associated with a low-rise urban area can
    cause an intensification of sub-daily rainfall extremes that is significantly
    larger than in nearby rural areas.
article_number: '101124'
article_processing_charge: No
article_type: original
author:
- first_name: Jamie
  full_name: Huang, Jamie
  last_name: Huang
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Giuseppe
  full_name: Mascaro, Giuseppe
  last_name: Mascaro
- first_name: Gabriele
  full_name: Manoli, Gabriele
  last_name: Manoli
- first_name: Nadav
  full_name: Peleg, Nadav
  last_name: Peleg
citation:
  ama: Huang J, Fatichi S, Mascaro G, Manoli G, Peleg N. Intensification of sub-daily
    rainfall extremes in a low-rise urban area. <i>Urban Climate</i>. 2022;42. doi:<a
    href="https://doi.org/10.1016/j.uclim.2022.101124">10.1016/j.uclim.2022.101124</a>
  apa: Huang, J., Fatichi, S., Mascaro, G., Manoli, G., &#38; Peleg, N. (2022). Intensification
    of sub-daily rainfall extremes in a low-rise urban area. <i>Urban Climate</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.uclim.2022.101124">https://doi.org/10.1016/j.uclim.2022.101124</a>
  chicago: Huang, Jamie, Simone Fatichi, Giuseppe Mascaro, Gabriele Manoli, and Nadav
    Peleg. “Intensification of Sub-Daily Rainfall Extremes in a Low-Rise Urban Area.”
    <i>Urban Climate</i>. Elsevier, 2022. <a href="https://doi.org/10.1016/j.uclim.2022.101124">https://doi.org/10.1016/j.uclim.2022.101124</a>.
  ieee: J. Huang, S. Fatichi, G. Mascaro, G. Manoli, and N. Peleg, “Intensification
    of sub-daily rainfall extremes in a low-rise urban area,” <i>Urban Climate</i>,
    vol. 42. Elsevier, 2022.
  ista: Huang J, Fatichi S, Mascaro G, Manoli G, Peleg N. 2022. Intensification of
    sub-daily rainfall extremes in a low-rise urban area. Urban Climate. 42, 101124.
  mla: Huang, Jamie, et al. “Intensification of Sub-Daily Rainfall Extremes in a Low-Rise
    Urban Area.” <i>Urban Climate</i>, vol. 42, 101124, Elsevier, 2022, doi:<a href="https://doi.org/10.1016/j.uclim.2022.101124">10.1016/j.uclim.2022.101124</a>.
  short: J. Huang, S. Fatichi, G. Mascaro, G. Manoli, N. Peleg, Urban Climate 42 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-03-01T00:00:00Z
date_updated: 2026-07-30T10:36:21Z
day: '01'
ddc:
- '550'
doi: 10.1016/j.uclim.2022.101124
extern: '1'
has_accepted_license: '1'
intvolume: '        42'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.uclim.2022.101124
month: '03'
oa: 1
oa_version: Published Version
publication: Urban Climate
publication_identifier:
  eissn:
  - 2212-0955
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Intensification of sub-daily rainfall extremes in a low-rise urban area
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '22456'
abstract:
- lang: eng
  text: The urban heat island effect (UHI) has been widely observed globally, causing
    climate, health, and energy impacts in cities. The UHI intensities have been found
    to largely depend on background climate and the properties of the urban fabric.
    Yet, a complete mechanistic understanding of how UHIs develop at a global scale
    is still missing. Using an urban ecohydrological and land-surface model (urban
    Tethys-Chloris) in combination with multi-source remote sensing data, we performed
    simulations for 49 large urban clusters across the Northern Hemisphere in 2009–2019
    and analysed how surface and canopy air UHIs (SUHI and CUHI, respectively) develop
    during day and night. Biophysical drivers triggering the development of SUHIs
    and CUHIs have similar dependencies on background climate, but with different
    magnitudes. In humid regions daytime UHIs can be largely explained by the urban-rural
    difference in evapotranspiration, whereas heat convection and conduction are important
    in arid areas. Plant irrigation can largely promote daytime urban evapotranspiration
    only in arid and semi-arid climates. During night, heat conduction from the urban
    fabric to the environment creates large UHIs mostly in warm arid regions. Overall,
    this study presents a mechanistic quantification of how UHIs develop worldwide
    and proposes viable solutions for sustainable climate-sensitive mitigation strategies.
article_number: '101215'
article_processing_charge: No
article_type: original
author:
- first_name: Ziyan
  full_name: Zhang, Ziyan
  last_name: Zhang
- first_name: Athanasios
  full_name: Paschalis, Athanasios
  last_name: Paschalis
- first_name: Ana
  full_name: Mijic, Ana
  last_name: Mijic
- first_name: Naika
  full_name: Meili, Naika
  last_name: Meili
- first_name: Gabriele
  full_name: Manoli, Gabriele
  last_name: Manoli
- first_name: Maarten
  full_name: van Reeuwijk, Maarten
  last_name: van Reeuwijk
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: Zhang Z, Paschalis A, Mijic A, et al. A mechanistic assessment of urban heat
    island intensities and drivers across climates. <i>Urban Climate</i>. 2022;44.
    doi:<a href="https://doi.org/10.1016/j.uclim.2022.101215">10.1016/j.uclim.2022.101215</a>
  apa: Zhang, Z., Paschalis, A., Mijic, A., Meili, N., Manoli, G., van Reeuwijk, M.,
    &#38; Fatichi, S. (2022). A mechanistic assessment of urban heat island intensities
    and drivers across climates. <i>Urban Climate</i>. Elsevier. <a href="https://doi.org/10.1016/j.uclim.2022.101215">https://doi.org/10.1016/j.uclim.2022.101215</a>
  chicago: Zhang, Ziyan, Athanasios Paschalis, Ana Mijic, Naika Meili, Gabriele Manoli,
    Maarten van Reeuwijk, and Simone Fatichi. “A Mechanistic Assessment of Urban Heat
    Island Intensities and Drivers across Climates.” <i>Urban Climate</i>. Elsevier,
    2022. <a href="https://doi.org/10.1016/j.uclim.2022.101215">https://doi.org/10.1016/j.uclim.2022.101215</a>.
  ieee: Z. Zhang <i>et al.</i>, “A mechanistic assessment of urban heat island intensities
    and drivers across climates,” <i>Urban Climate</i>, vol. 44. Elsevier, 2022.
  ista: Zhang Z, Paschalis A, Mijic A, Meili N, Manoli G, van Reeuwijk M, Fatichi
    S. 2022. A mechanistic assessment of urban heat island intensities and drivers
    across climates. Urban Climate. 44, 101215.
  mla: Zhang, Ziyan, et al. “A Mechanistic Assessment of Urban Heat Island Intensities
    and Drivers across Climates.” <i>Urban Climate</i>, vol. 44, 101215, Elsevier,
    2022, doi:<a href="https://doi.org/10.1016/j.uclim.2022.101215">10.1016/j.uclim.2022.101215</a>.
  short: Z. Zhang, A. Paschalis, A. Mijic, N. Meili, G. Manoli, M. van Reeuwijk, S.
    Fatichi, Urban Climate 44 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-07-01T00:00:00Z
date_updated: 2026-07-30T10:45:59Z
day: '01'
ddc:
- '550'
doi: 10.1016/j.uclim.2022.101215
extern: '1'
has_accepted_license: '1'
intvolume: '        44'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.uclim.2022.101215
month: '07'
oa: 1
oa_version: Published Version
publication: Urban Climate
publication_identifier:
  eissn:
  - 2212-0955
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: A mechanistic assessment of urban heat island intensities and drivers across
  climates
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 44
year: '2022'
...
---
OA_place: publisher
OA_type: free access
_id: '22490'
abstract:
- lang: eng
  text: Urbanization has caused multiple environmental grand challenges that impair
    urban sustainability. Urban vegetation (UV), a mainstream nature-based solution
    (NBS), can mitigate urban challenges through providing important ecosystem services
    (ESs). However, successful implementation of UV to provide ESs, is impaired due
    to insufficient knowledge of its effectiveness under different climatic and socio-economic
    conditions. Here, we quantify seven ESs provided by UV across 2,148 cities with
    ≥250,000 residents. We show that UV makes substantial contributions to outdoor
    recreation and stormwater regulation but is less effective in reducing air pollution,
    in most cities, regardless of the climatic and socio-economic context. The contributions
    of UV to carbon sequestration, coastal protection, shade provision, and land surface
    temperature reduction were generally smaller and varied substantially dependent
    on city climatic and human development index characteristics. Comprehensive assessments
    for urban NBS planning are essential to maximize ES efficacy for urban sustainability
    improvements and support human well-being.
article_processing_charge: No
article_type: original
author:
- first_name: Daniel R.
  full_name: Richards, Daniel R.
  last_name: Richards
- first_name: Richard N.
  full_name: Belcher, Richard N.
  last_name: Belcher
- first_name: L. Roman
  full_name: Carrasco, L. Roman
  last_name: Carrasco
- first_name: Peter J.
  full_name: Edwards, Peter J.
  last_name: Edwards
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Perrine
  full_name: Hamel, Perrine
  last_name: Hamel
- first_name: Mahyar
  full_name: Masoudi, Mahyar
  last_name: Masoudi
- first_name: Mark J.
  full_name: McDonnell, Mark J.
  last_name: McDonnell
- first_name: Nadav
  full_name: Peleg, Nadav
  last_name: Peleg
- first_name: Margaret C.
  full_name: Stanley, Margaret C.
  last_name: Stanley
citation:
  ama: Richards DR, Belcher RN, Carrasco LR, et al. Global variation in contributions
    to human well-being from urban vegetation ecosystem services. <i>One Earth</i>.
    2022;5(5):522-533. doi:<a href="https://doi.org/10.1016/j.oneear.2022.04.006">10.1016/j.oneear.2022.04.006</a>
  apa: Richards, D. R., Belcher, R. N., Carrasco, L. R., Edwards, P. J., Fatichi,
    S., Hamel, P., … Stanley, M. C. (2022). Global variation in contributions to human
    well-being from urban vegetation ecosystem services. <i>One Earth</i>. Elsevier.
    <a href="https://doi.org/10.1016/j.oneear.2022.04.006">https://doi.org/10.1016/j.oneear.2022.04.006</a>
  chicago: Richards, Daniel R., Richard N. Belcher, L. Roman Carrasco, Peter J. Edwards,
    Simone Fatichi, Perrine Hamel, Mahyar Masoudi, Mark J. McDonnell, Nadav Peleg,
    and Margaret C. Stanley. “Global Variation in Contributions to Human Well-Being
    from Urban Vegetation Ecosystem Services.” <i>One Earth</i>. Elsevier, 2022. <a
    href="https://doi.org/10.1016/j.oneear.2022.04.006">https://doi.org/10.1016/j.oneear.2022.04.006</a>.
  ieee: D. R. Richards <i>et al.</i>, “Global variation in contributions to human
    well-being from urban vegetation ecosystem services,” <i>One Earth</i>, vol. 5,
    no. 5. Elsevier, pp. 522–533, 2022.
  ista: Richards DR, Belcher RN, Carrasco LR, Edwards PJ, Fatichi S, Hamel P, Masoudi
    M, McDonnell MJ, Peleg N, Stanley MC. 2022. Global variation in contributions
    to human well-being from urban vegetation ecosystem services. One Earth. 5(5),
    522–533.
  mla: Richards, Daniel R., et al. “Global Variation in Contributions to Human Well-Being
    from Urban Vegetation Ecosystem Services.” <i>One Earth</i>, vol. 5, no. 5, Elsevier,
    2022, pp. 522–33, doi:<a href="https://doi.org/10.1016/j.oneear.2022.04.006">10.1016/j.oneear.2022.04.006</a>.
  short: D.R. Richards, R.N. Belcher, L.R. Carrasco, P.J. Edwards, S. Fatichi, P.
    Hamel, M. Masoudi, M.J. McDonnell, N. Peleg, M.C. Stanley, One Earth 5 (2022)
    522–533.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-05-20T00:00:00Z
date_updated: 2026-07-30T10:36:42Z
day: '20'
doi: 10.1016/j.oneear.2022.04.006
extern: '1'
intvolume: '         5'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.oneear.2022.04.006
month: '05'
oa: 1
oa_version: Published Version
page: 522-533
publication: One Earth
publication_identifier:
  issn:
  - 2590-3322
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Global variation in contributions to human well-being from urban vegetation
  ecosystem services
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 5
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22447'
abstract:
- lang: eng
  text: "Elevated atmospheric CO2 concentration is expected\r\nto increase leaf CO2
    assimilation rates, thus promoting plant growth\r\nand increasing leaf area. It
    also decreases stomatal conductance, allowing\r\nwater savings, which have been
    hypothesized to drive large-scale greening,\r\nin particular in arid and semiarid
    climates. However, the increase in leaf\r\narea could reduce the benefits of elevated
    CO2 concentration through soil\r\nwater depletion. The net effect of elevated
    CO2 on leaf- and\r\ncanopy-level gas exchange remains uncertain. To address this
    question, we\r\ncompare the outcomes of a heuristic model based on the Partitioning
    of\r\nEquilibrium Transpiration and Assimilation (PETA) hypothesis and three model\r\nvariants
    based on stomatal optimization theory. Predicted relative changes in leaf-\r\nand
    canopy-level gas exchange rates are used as a metric of plant responses\r\nto
    changes in atmospheric CO2 concentration. Both model approaches predict\r\nreductions
    in leaf-level transpiration rate due to decreased stomatal\r\nconductance under
    elevated CO2, but negligible (PETA) or no\r\n(optimization) changes in canopy-level
    transpiration due to the compensatory\r\neffect of increased leaf area. Leaf-
    and canopy-level CO2 assimilation\r\nis predicted to increase, with an amplification
    of the CO2\r\nfertilization effect at the canopy level due to the enhanced leaf
    area. The\r\nexpected increase in vapour pressure deficit (VPD) under warmer conditions
    is\r\ngenerally predicted to decrease the sensitivity of gas exchange to\r\natmospheric
    CO2 concentration in both models. The consistent\r\npredictions by different models
    that canopy-level transpiration varies\r\nlittle under elevated CO2 due to combined
    stomatal conductance\r\nreduction and leaf area increase highlight the coordination
    of\r\nphysiological and morphological characteristics in vegetation to maximize\r\nresource
    use (here water) under altered climatic conditions."
article_processing_charge: No
article_type: original
author:
- first_name: Stefano
  full_name: Manzoni, Stefano
  last_name: Manzoni
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Xue
  full_name: Feng, Xue
  last_name: Feng
- first_name: Gabriel G.
  full_name: Katul, Gabriel G.
  last_name: Katul
- first_name: Danielle
  full_name: Way, Danielle
  last_name: Way
- first_name: Giulia
  full_name: Vico, Giulia
  last_name: Vico
citation:
  ama: Manzoni S, Fatichi S, Feng X, Katul GG, Way D, Vico G. Consistent responses
    of vegetation gas exchange to elevated atmospheric CO2 emerge from heuristic and
    optimization models. <i>Biogeosciences</i>. 2022;19(17):4387-4414. doi:<a href="https://doi.org/10.5194/bg-19-4387-2022">10.5194/bg-19-4387-2022</a>
  apa: Manzoni, S., Fatichi, S., Feng, X., Katul, G. G., Way, D., &#38; Vico, G. (2022).
    Consistent responses of vegetation gas exchange to elevated atmospheric CO2 emerge
    from heuristic and optimization models. <i>Biogeosciences</i>. Copernicus Publications.
    <a href="https://doi.org/10.5194/bg-19-4387-2022">https://doi.org/10.5194/bg-19-4387-2022</a>
  chicago: Manzoni, Stefano, Simone Fatichi, Xue Feng, Gabriel G. Katul, Danielle
    Way, and Giulia Vico. “Consistent Responses of Vegetation Gas Exchange to Elevated
    Atmospheric CO2 Emerge from Heuristic and Optimization Models.” <i>Biogeosciences</i>.
    Copernicus Publications, 2022. <a href="https://doi.org/10.5194/bg-19-4387-2022">https://doi.org/10.5194/bg-19-4387-2022</a>.
  ieee: S. Manzoni, S. Fatichi, X. Feng, G. G. Katul, D. Way, and G. Vico, “Consistent
    responses of vegetation gas exchange to elevated atmospheric CO2 emerge from heuristic
    and optimization models,” <i>Biogeosciences</i>, vol. 19, no. 17. Copernicus Publications,
    pp. 4387–4414, 2022.
  ista: Manzoni S, Fatichi S, Feng X, Katul GG, Way D, Vico G. 2022. Consistent responses
    of vegetation gas exchange to elevated atmospheric CO2 emerge from heuristic and
    optimization models. Biogeosciences. 19(17), 4387–4414.
  mla: Manzoni, Stefano, et al. “Consistent Responses of Vegetation Gas Exchange to
    Elevated Atmospheric CO2 Emerge from Heuristic and Optimization Models.” <i>Biogeosciences</i>,
    vol. 19, no. 17, Copernicus Publications, 2022, pp. 4387–414, doi:<a href="https://doi.org/10.5194/bg-19-4387-2022">10.5194/bg-19-4387-2022</a>.
  short: S. Manzoni, S. Fatichi, X. Feng, G.G. Katul, D. Way, G. Vico, Biogeosciences
    19 (2022) 4387–4414.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2022-09-14T00:00:00Z
date_updated: 2026-07-30T10:58:52Z
day: '14'
doi: 10.5194/bg-19-4387-2022
extern: '1'
intvolume: '        19'
issue: '17'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5194/bg-19-4387-2022
month: '09'
oa: 1
oa_version: Published Version
page: 4387-4414
publication: Biogeosciences
publication_identifier:
  issn:
  - 1726-4189
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Consistent responses of vegetation gas exchange to elevated atmospheric CO2
  emerge from heuristic and optimization models
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22472'
abstract:
- lang: eng
  text: "Increasing urban tree cover is an often proposed mitigation strategy against
    urban heat as trees are expected to cool cities through evapotranspiration and
    shade provision. However, trees also modify wind flow and urban aerodynamic roughness,
    which can potentially limit heat dissipation. Existing studies show a varying
    cooling potential of urban trees in different climates and times of the day. These
    differences are so far not systematically explained as partitioning the individual
    tree effects is challenging and impossible through observations alone. Here, we
    conduct numerical experiments removing and adding radiation, evapotranspiration,
    and aerodynamic roughness effects caused by urban trees using a mechanistic urban
    ecohydrological model. Simulations are presented for four cities in different
    climates (Phoenix, Singapore, Melbourne, Zurich) considering the seasonal and
    diurnal cycles of air and surface temperatures.\r\nResults show that evapotranspiration
    of well-watered trees alone can decrease local 2 m air temperature at maximum
    by 3.1– 5.8 °C in the four climates during summer. Further cooling is prevented
    by stomatal closure at peak temperatures as high vapour pressure deficits limit
    transpiration. While shading reduces surface temperatures, the interaction of
    a non-transpiring tree with radiation can increase 2 m air temperature by up to
    1.6 – 2.1 °C in certain hours of the day at local scale, thus partially counteracting
    the evapotranspirative cooling effect. Furthermore, in the analysed scenarios,
    which do not account for tree wind blockage effects, trees lead to a decrease
    in urban roughness, which inhibits turbulent energy exchange and increases air
    temperature during daytime. At night, single tree effects are variable likely
    due to differences in atmospheric stability within the urban canyon. These results
    explain reported diurnal, seasonal and climatic differences in the cooling effects
    of urban trees, and can guide future field campaigns, planning strategies, and
    species selection aimed at improving local microclimate using urban greenery."
article_number: '126970'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Naika
  full_name: Meili, Naika
  last_name: Meili
- first_name: Gabriele
  full_name: Manoli, Gabriele
  last_name: Manoli
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Jan
  full_name: Carmeliet, Jan
  last_name: Carmeliet
- first_name: Winston T.L.
  full_name: Chow, Winston T.L.
  last_name: Chow
- first_name: Andrew M.
  full_name: Coutts, Andrew M.
  last_name: Coutts
- first_name: Matthias
  full_name: Roth, Matthias
  last_name: Roth
- first_name: Erik
  full_name: Velasco, Erik
  last_name: Velasco
- first_name: Enrique R.
  full_name: Vivoni, Enrique R.
  last_name: Vivoni
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
citation:
  ama: 'Meili N, Manoli G, Burlando P, et al. Tree effects on urban microclimate:
    Diurnal, seasonal, and climatic temperature differences explained by separating
    radiation, evapotranspiration, and roughness effects. <i>Urban Forestry &#38;
    Urban Greening</i>. 2021;58(3). doi:<a href="https://doi.org/10.1016/j.ufug.2020.126970">10.1016/j.ufug.2020.126970</a>'
  apa: 'Meili, N., Manoli, G., Burlando, P., Carmeliet, J., Chow, W. T. L., Coutts,
    A. M., … Fatichi, S. (2021). Tree effects on urban microclimate: Diurnal, seasonal,
    and climatic temperature differences explained by separating radiation, evapotranspiration,
    and roughness effects. <i>Urban Forestry &#38; Urban Greening</i>. Elsevier. <a
    href="https://doi.org/10.1016/j.ufug.2020.126970">https://doi.org/10.1016/j.ufug.2020.126970</a>'
  chicago: 'Meili, Naika, Gabriele Manoli, Paolo Burlando, Jan Carmeliet, Winston
    T.L. Chow, Andrew M. Coutts, Matthias Roth, Erik Velasco, Enrique R. Vivoni, and
    Simone Fatichi. “Tree Effects on Urban Microclimate: Diurnal, Seasonal, and Climatic
    Temperature Differences Explained by Separating Radiation, Evapotranspiration,
    and Roughness Effects.” <i>Urban Forestry &#38; Urban Greening</i>. Elsevier,
    2021. <a href="https://doi.org/10.1016/j.ufug.2020.126970">https://doi.org/10.1016/j.ufug.2020.126970</a>.'
  ieee: 'N. Meili <i>et al.</i>, “Tree effects on urban microclimate: Diurnal, seasonal,
    and climatic temperature differences explained by separating radiation, evapotranspiration,
    and roughness effects,” <i>Urban Forestry &#38; Urban Greening</i>, vol. 58, no.
    3. Elsevier, 2021.'
  ista: 'Meili N, Manoli G, Burlando P, Carmeliet J, Chow WTL, Coutts AM, Roth M,
    Velasco E, Vivoni ER, Fatichi S. 2021. Tree effects on urban microclimate: Diurnal,
    seasonal, and climatic temperature differences explained by separating radiation,
    evapotranspiration, and roughness effects. Urban Forestry &#38; Urban Greening.
    58(3), 126970.'
  mla: 'Meili, Naika, et al. “Tree Effects on Urban Microclimate: Diurnal, Seasonal,
    and Climatic Temperature Differences Explained by Separating Radiation, Evapotranspiration,
    and Roughness Effects.” <i>Urban Forestry &#38; Urban Greening</i>, vol. 58, no.
    3, 126970, Elsevier, 2021, doi:<a href="https://doi.org/10.1016/j.ufug.2020.126970">10.1016/j.ufug.2020.126970</a>.'
  short: N. Meili, G. Manoli, P. Burlando, J. Carmeliet, W.T.L. Chow, A.M. Coutts,
    M. Roth, E. Velasco, E.R. Vivoni, S. Fatichi, Urban Forestry &#38; Urban Greening
    58 (2021).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2021-03-01T00:00:00Z
date_updated: 2026-07-30T08:40:12Z
day: '01'
ddc:
- '550'
doi: 10.1016/j.ufug.2020.126970
extern: '1'
has_accepted_license: '1'
intvolume: '        58'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.ufug.2020.126970
month: '03'
oa: 1
oa_version: Published Version
publication: Urban Forestry & Urban Greening
publication_identifier:
  eissn:
  - 1610-8167
  issn:
  - 1618-8667
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Tree effects on urban microclimate: Diurnal, seasonal, and climatic temperature
  differences explained by separating radiation, evapotranspiration, and roughness
  effects'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 58
year: '2021'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22474'
abstract:
- lang: eng
  text: In light of globally increasing temperatures, accentuated in cities by the
    urban heat island effect, urban planners and designers are looking for new, quantitative
    methods to assess the performance of their designs in terms of ecosystem services
    provided by vegetation. Among these ecosystem services, improved microclimate
    conditions are particularly important for human thermal comfort and health. In
    this study, an urban scene in the tropical city of Singapore is numerically investigated
    with a fully-integrated, three-dimensional urban microclimate model implemented
    in OpenFOAM. Mass and heat transport in air and storage effect in the urban environment
    are coupled so that the daily turbulent transport in air using steady Reynolds-averaged
    Navier-Stokes (RANS) can be solved iteratively with the unsteady heat and moisture
    transfer from urban surfaces. Vegetation is modeled as a porous medium for the
    flow of moist air and a leaf energy balance model is used to determine the heat
    fluxes and transpiration at leaf surfaces. The analysis shows the influence of
    an urban park upon air temperatures and thermal comfort. Cooling intensity of
    1 °C is observed downwind of the park within a region of 27 m for an incoming
    wind speed of 2.3 m s−1, which reduces to 0.6 °C at a distance of 117 m from the
    park. The Universal Thermal Comfort Index (UTCI) shows a reduction in thermal
    stress in and around the park. The approach presented here can provide specific
    guidelines for urban planners and frame expectations on magnitude and spatial
    extent of local microclimate modifications generated by an urban park in a tropical
    city.
article_number: '100939'
article_processing_charge: No
article_type: original
author:
- first_name: Muhammad Omer
  full_name: Mughal, Muhammad Omer
  last_name: Mughal
- first_name: Aytac
  full_name: Kubilay, Aytac
  last_name: Kubilay
- first_name: Simone
  full_name: Fatichi, Simone
  id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  last_name: Fatichi
- first_name: Naika
  full_name: Meili, Naika
  last_name: Meili
- first_name: Jan
  full_name: Carmeliet, Jan
  last_name: Carmeliet
- first_name: Peter
  full_name: Edwards, Peter
  last_name: Edwards
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
citation:
  ama: Mughal MO, Kubilay A, Fatichi S, et al. Detailed investigation of vegetation
    effects on microclimate by means of computational fluid dynamics (CFD) in a tropical
    urban environment. <i>Urban Climate</i>. 2021;39. doi:<a href="https://doi.org/10.1016/j.uclim.2021.100939">10.1016/j.uclim.2021.100939</a>
  apa: Mughal, M. O., Kubilay, A., Fatichi, S., Meili, N., Carmeliet, J., Edwards,
    P., &#38; Burlando, P. (2021). Detailed investigation of vegetation effects on
    microclimate by means of computational fluid dynamics (CFD) in a tropical urban
    environment. <i>Urban Climate</i>. Elsevier. <a href="https://doi.org/10.1016/j.uclim.2021.100939">https://doi.org/10.1016/j.uclim.2021.100939</a>
  chicago: Mughal, Muhammad Omer, Aytac Kubilay, Simone Fatichi, Naika Meili, Jan
    Carmeliet, Peter Edwards, and Paolo Burlando. “Detailed Investigation of Vegetation
    Effects on Microclimate by Means of Computational Fluid Dynamics (CFD) in a Tropical
    Urban Environment.” <i>Urban Climate</i>. Elsevier, 2021. <a href="https://doi.org/10.1016/j.uclim.2021.100939">https://doi.org/10.1016/j.uclim.2021.100939</a>.
  ieee: M. O. Mughal <i>et al.</i>, “Detailed investigation of vegetation effects
    on microclimate by means of computational fluid dynamics (CFD) in a tropical urban
    environment,” <i>Urban Climate</i>, vol. 39. Elsevier, 2021.
  ista: Mughal MO, Kubilay A, Fatichi S, Meili N, Carmeliet J, Edwards P, Burlando
    P. 2021. Detailed investigation of vegetation effects on microclimate by means
    of computational fluid dynamics (CFD) in a tropical urban environment. Urban Climate.
    39, 100939.
  mla: Mughal, Muhammad Omer, et al. “Detailed Investigation of Vegetation Effects
    on Microclimate by Means of Computational Fluid Dynamics (CFD) in a Tropical Urban
    Environment.” <i>Urban Climate</i>, vol. 39, 100939, Elsevier, 2021, doi:<a href="https://doi.org/10.1016/j.uclim.2021.100939">10.1016/j.uclim.2021.100939</a>.
  short: M.O. Mughal, A. Kubilay, S. Fatichi, N. Meili, J. Carmeliet, P. Edwards,
    P. Burlando, Urban Climate 39 (2021).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2021-09-01T00:00:00Z
date_updated: 2026-07-30T09:08:16Z
day: '01'
ddc:
- '550'
doi: 10.1016/j.uclim.2021.100939
extern: '1'
has_accepted_license: '1'
intvolume: '        39'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.uclim.2021.100939
month: '09'
oa: 1
oa_version: Published Version
publication: Urban Climate
publication_identifier:
  eissn:
  - 2212-0955
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Detailed investigation of vegetation effects on microclimate by means of computational
  fluid dynamics (CFD) in a tropical urban environment
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2021'
...
