---
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. Journal of Geophysical
Research: Biogeosciences. 2022;127(2). doi:10.1029/2021jg006735'
apa: '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. American Geophysical Union.
https://doi.org/10.1029/2021jg006735'
chicago: 'Moustakis, Yiannis, Simone Fatichi, Christian Onof, and Athanasios Paschalis.
“Insensitivity of Ecosystem Productivity to Predicted Changes in Fine‐scale Rainfall
Variability.” Journal of Geophysical Research: Biogeosciences. American
Geophysical Union, 2022. https://doi.org/10.1029/2021jg006735.'
ieee: 'Y. Moustakis, S. Fatichi, C. Onof, and A. Paschalis, “Insensitivity of ecosystem
productivity to predicted changes in fine‐scale rainfall variability,” Journal
of Geophysical Research: Biogeosciences, 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.” Journal of Geophysical Research:
Biogeosciences, vol. 127, no. 2, e2021JG006735, American Geophysical Union,
2022, doi:10.1029/2021jg006735.'
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'
fulldoi: https://doi.org/10.1029/2021jg006735
has_accepted_license: '1'
intvolume: ' 127'
issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
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: free access
_id: '22440'
abstract:
- lang: eng
text: Large uncertainties on the sensitivity of Amazon forests to drought exist.
Even though water stress should suppress photosynthesis and enhance tree mortality,
a green‐up has been often observed during the dry season. This interplay between
climatic forcing and forest phenology is poorly understood and inadequately represented
in most of existing dynamic global vegetation models calling for an improved description
of the Amazon seasonal dynamics. Recent findings on tropical leaf phenology are
incorporated in the state‐of‐the‐art eco‐hydrological model Thetys & Chloris.
The new model accounts for a mechanistic light‐controlled leaf development, synchronized
dry‐season litterfall, and an age‐dependent leaf photosynthetic capacity. Simulation
results from 32 sites in the Amazon basin over a 15‐year period successfully mimic
the seasonality of gross primary productivity; evapotranspiration (ET); as well
as leaf area index, leaf age, and leaf productivity. Representation of tropical
leaf phenology reproduces the observed dry‐season greening, reduces simulated
gross primary productivity, and does not alter ET, when compared with simulations
without phenology. Tolerance to dry periods, with the exception of major drought
events, is simulated by the model. Deep roots rather than leaf area index regulation
mechanisms control the response to short‐term droughts, but legacy effects can
exacerbate multiyear water stress. Our results provide a novel mechanistic approach
to model leaf phenology and flux seasonality in the tropics, reconciling the generally
observed dry‐season greening, ET seasonality, and decreased carbon uptake during
severe droughts.
article_processing_charge: No
article_type: original
author:
- first_name: Gabriele
full_name: Manoli, Gabriele
last_name: Manoli
- first_name: Valeriy Y.
full_name: Ivanov, Valeriy Y.
last_name: Ivanov
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: 'Manoli G, Ivanov VY, Fatichi S. Dry‐season greening and water stress in Amazonia:
The role of modeling leaf phenology. Journal of Geophysical Research: Biogeosciences.
2018;123(6):1909-1926. doi:10.1029/2017jg004282'
apa: 'Manoli, G., Ivanov, V. Y., & Fatichi, S. (2018). Dry‐season greening and
water stress in Amazonia: The role of modeling leaf phenology. Journal of Geophysical
Research: Biogeosciences. American Geophysical Union. https://doi.org/10.1029/2017jg004282'
chicago: 'Manoli, Gabriele, Valeriy Y. Ivanov, and Simone Fatichi. “Dry‐season Greening
and Water Stress in Amazonia: The Role of Modeling Leaf Phenology.” Journal
of Geophysical Research: Biogeosciences. American Geophysical Union, 2018.
https://doi.org/10.1029/2017jg004282.'
ieee: 'G. Manoli, V. Y. Ivanov, and S. Fatichi, “Dry‐season greening and water stress
in Amazonia: The role of modeling leaf phenology,” Journal of Geophysical Research:
Biogeosciences, vol. 123, no. 6. American Geophysical Union, pp. 1909–1926,
2018.'
ista: 'Manoli G, Ivanov VY, Fatichi S. 2018. Dry‐season greening and water stress
in Amazonia: The role of modeling leaf phenology. Journal of Geophysical Research:
Biogeosciences. 123(6), 1909–1926.'
mla: 'Manoli, Gabriele, et al. “Dry‐season Greening and Water Stress in Amazonia:
The Role of Modeling Leaf Phenology.” Journal of Geophysical Research: Biogeosciences,
vol. 123, no. 6, American Geophysical Union, 2018, pp. 1909–26, doi:10.1029/2017jg004282.'
short: 'G. Manoli, V.Y. Ivanov, S. Fatichi, Journal of Geophysical Research: Biogeosciences
123 (2018) 1909–1926.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2018-06-01T00:00:00Z
date_updated: 2026-07-30T06:04:25Z
day: '01'
doi: 10.1029/2017jg004282
extern: '1'
fulldoi: https://doi.org/10.1029/2017jg004282
intvolume: ' 123'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1029/2017JG004282
month: '06'
oa: 1
oa_version: Published Version
page: 1909-1926
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: 'Dry‐season greening and water stress in Amazonia: The role of modeling leaf
phenology'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 123
year: '2018'
...
---
OA_place: publisher
OA_type: free access
_id: '22488'
abstract:
- lang: eng
text: Elevated atmospheric CO2 concentrations are expected to enhance photosynthesis
and reduce stomatal conductance, thus increasing plant water use efficiency. A
recent study based on eddy covariance flux observations from Northern Hemisphere
forests showed a large increase in inherent water use efficiency (IWUE). Here
we used an updated version of the same data set and robust uncertainty quantification
to revisit these contemporary IWUE trends. We tested the hypothesis that the observed
IWUE increase could be attributed to interannual trends in plant functional traits,
potentially triggered by environmental change. We found that IWUE increased by
~1.3% yr−1, which is less than previously reported but still larger than theoretical
expectations. Numerical simulations with the Tethys-Chloris ecosystem model using
temporally static plant functional traits cannot explain this increase. Simulations
with plant functional trait plasticity, i.e., temporal changes in model parameters
such as specific leaf area and maximum Rubisco capacity, match the observed trends
in IWUE. Our results show that trends in plant functional traits, equal to 1.0%
yr−1, can explain the observed IWUE trends. Thus, at decadal or longer time scales,
trait plasticity could potentially influence forest water, carbon, and energy
fluxes with profound implications for both the monitoring of temporal changes
in plant functional traits and their representation in Earth system models.
article_processing_charge: No
article_type: original
author:
- first_name: Theodoros
full_name: Mastrotheodoros, Theodoros
last_name: Mastrotheodoros
- first_name: Christoforos
full_name: Pappas, Christoforos
last_name: Pappas
- first_name: Peter
full_name: Molnar, Peter
last_name: Molnar
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
- first_name: Trevor F.
full_name: Keenan, Trevor F.
last_name: Keenan
- first_name: Pierre
full_name: Gentine, Pierre
last_name: Gentine
- first_name: Christopher M.
full_name: Gough, Christopher M.
last_name: Gough
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: 'Mastrotheodoros T, Pappas C, Molnar P, et al. Linking plant functional trait
plasticity and the large increase in forest water use efficiency. Journal of
Geophysical Research: Biogeosciences. 2017;122(9):2393-2408. doi:10.1002/2017jg003890'
apa: 'Mastrotheodoros, T., Pappas, C., Molnar, P., Burlando, P., Keenan, T. F.,
Gentine, P., … Fatichi, S. (2017). Linking plant functional trait plasticity and
the large increase in forest water use efficiency. Journal of Geophysical Research:
Biogeosciences. American Geophysical Union. https://doi.org/10.1002/2017jg003890'
chicago: 'Mastrotheodoros, Theodoros, Christoforos Pappas, Peter Molnar, Paolo Burlando,
Trevor F. Keenan, Pierre Gentine, Christopher M. Gough, and Simone Fatichi. “Linking
Plant Functional Trait Plasticity and the Large Increase in Forest Water Use Efficiency.”
Journal of Geophysical Research: Biogeosciences. American Geophysical Union,
2017. https://doi.org/10.1002/2017jg003890.'
ieee: 'T. Mastrotheodoros et al., “Linking plant functional trait plasticity
and the large increase in forest water use efficiency,” Journal of Geophysical
Research: Biogeosciences, vol. 122, no. 9. American Geophysical Union, pp.
2393–2408, 2017.'
ista: 'Mastrotheodoros T, Pappas C, Molnar P, Burlando P, Keenan TF, Gentine P,
Gough CM, Fatichi S. 2017. Linking plant functional trait plasticity and the large
increase in forest water use efficiency. Journal of Geophysical Research: Biogeosciences.
122(9), 2393–2408.'
mla: 'Mastrotheodoros, Theodoros, et al. “Linking Plant Functional Trait Plasticity
and the Large Increase in Forest Water Use Efficiency.” Journal of Geophysical
Research: Biogeosciences, vol. 122, no. 9, American Geophysical Union, 2017,
pp. 2393–408, doi:10.1002/2017jg003890.'
short: 'T. Mastrotheodoros, C. Pappas, P. Molnar, P. Burlando, T.F. Keenan, P. Gentine,
C.M. Gough, S. Fatichi, Journal of Geophysical Research: Biogeosciences 122 (2017)
2393–2408.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2017-09-01T00:00:00Z
date_updated: 2026-08-11T06:46:14Z
day: '01'
doi: 10.1002/2017jg003890
extern: '1'
fulldoi: https://doi.org/10.1002/2017jg003890
intvolume: ' 122'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/2017JG003890
month: '09'
oa: 1
oa_version: Published Version
page: 2393-2408
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: Linking plant functional trait plasticity and the large increase in forest
water use efficiency
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 122
year: '2017'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22574'
abstract:
- lang: eng
text: Ecosystem models often perform poorly in reproducing interannual variability
in carbon and water fluxes, resulting in considerable uncertainty when estimating
the land‐carbon sink. While many aggregated variables (growing season length,
seasonal precipitation, or temperature) have been suggested as predictors for
interannual variability in carbon fluxes, their explanatory power is limited and
uncertainties remain as to their relative contributions. Recent results show that
the annual count of hours where evapotranspiration (ET) is larger than its 95th
percentile is strongly correlated with the annual variability of ET and gross
primary production (GPP) in an ecosystem model. This suggests that the occurrence
of favorable conditions has a strong influence on the annual carbon budget. Here
we analyzed data from eight forest sites of the AmeriFlux network with at least
7 years of continuous measurements. We show that for ET and the carbon fluxes
GPP, ecosystem respiration (RE), and net ecosystem production, counting the “most
active hours/days” (i.e., hours/days when the flux exceeds a high percentile)
correlates well with the respective annual sums, with correlation coefficients
generally larger than 0.8. Phenological transitions have much weaker explanatory
power. By exploiting the relationship between most active hours and interannual
variability, we classify hours as most active or less active and largely explain
interannual variability in ecosystem fluxes, particularly for GPP and RE. Our
results suggest that a better understanding and modeling of the occurrence of
large values in high‐frequency ecosystem fluxes will result in a better understanding
of interannual variability of these fluxes.
article_processing_charge: No
article_type: original
author:
- first_name: Jakob
full_name: Zscheischler, Jakob
last_name: Zscheischler
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Sebastian
full_name: Wolf, Sebastian
last_name: Wolf
- first_name: Peter D.
full_name: Blanken, Peter D.
last_name: Blanken
- first_name: Gil
full_name: Bohrer, Gil
last_name: Bohrer
- first_name: Kenneth
full_name: Clark, Kenneth
last_name: Clark
- first_name: Ankur R.
full_name: Desai, Ankur R.
last_name: Desai
- first_name: David
full_name: Hollinger, David
last_name: Hollinger
- first_name: Trevor
full_name: Keenan, Trevor
last_name: Keenan
- first_name: Kimberly A.
full_name: Novick, Kimberly A.
last_name: Novick
- first_name: Sonia I.
full_name: Seneviratne, Sonia I.
last_name: Seneviratne
citation:
ama: 'Zscheischler J, Fatichi S, Wolf S, et al. Short‐term favorable weather conditions
are an important control of interannual variability in carbon and water fluxes.
Journal of Geophysical Research: Biogeosciences. 2016;121(8):2186-2198.
doi:10.1002/2016jg003503'
apa: 'Zscheischler, J., Fatichi, S., Wolf, S., Blanken, P. D., Bohrer, G., Clark,
K., … Seneviratne, S. I. (2016). Short‐term favorable weather conditions are an
important control of interannual variability in carbon and water fluxes. Journal
of Geophysical Research: Biogeosciences. American Geophysical Union. https://doi.org/10.1002/2016jg003503'
chicago: 'Zscheischler, Jakob, Simone Fatichi, Sebastian Wolf, Peter D. Blanken,
Gil Bohrer, Kenneth Clark, Ankur R. Desai, et al. “Short‐term Favorable Weather
Conditions Are an Important Control of Interannual Variability in Carbon and Water
Fluxes.” Journal of Geophysical Research: Biogeosciences. American Geophysical
Union, 2016. https://doi.org/10.1002/2016jg003503.'
ieee: 'J. Zscheischler et al., “Short‐term favorable weather conditions are
an important control of interannual variability in carbon and water fluxes,” Journal
of Geophysical Research: Biogeosciences, vol. 121, no. 8. American Geophysical
Union, pp. 2186–2198, 2016.'
ista: 'Zscheischler J, Fatichi S, Wolf S, Blanken PD, Bohrer G, Clark K, Desai AR,
Hollinger D, Keenan T, Novick KA, Seneviratne SI. 2016. Short‐term favorable weather
conditions are an important control of interannual variability in carbon and water
fluxes. Journal of Geophysical Research: Biogeosciences. 121(8), 2186–2198.'
mla: 'Zscheischler, Jakob, et al. “Short‐term Favorable Weather Conditions Are an
Important Control of Interannual Variability in Carbon and Water Fluxes.” Journal
of Geophysical Research: Biogeosciences, vol. 121, no. 8, American Geophysical
Union, 2016, pp. 2186–98, doi:10.1002/2016jg003503.'
short: 'J. Zscheischler, S. Fatichi, S. Wolf, P.D. Blanken, G. Bohrer, K. Clark,
A.R. Desai, D. Hollinger, T. Keenan, K.A. Novick, S.I. Seneviratne, Journal of
Geophysical Research: Biogeosciences 121 (2016) 2186–2198.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2016-08-01T00:00:00Z
date_updated: 2026-08-03T13:57:54Z
day: '01'
ddc:
- '550'
doi: 10.1002/2016jg003503
extern: '1'
external_id:
pmid:
- '27774367'
fulldoi: https://doi.org/10.1002/2016jg003503
has_accepted_license: '1'
intvolume: ' 121'
issue: '8'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.1002/2016JG003503'
month: '08'
oa: 1
oa_version: Published Version
page: 2186-2198
pmid: 1
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: Short‐term favorable weather conditions are an important control of interannual
variability in carbon and water fluxes
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 121
year: '2016'
...
---
OA_place: publisher
OA_type: free access
_id: '22580'
abstract:
- lang: eng
text: The finite difference ecosystem-scale tree crown hydrodynamics model version
2 (FETCH2) is a tree-scale hydrodynamic model of transpiration. The FETCH2 model
employs a finite difference numerical methodology and a simplified single-beam
conduit system to explicitly resolve xylem water potentials throughout the vertical
extent of a tree. Empirical equations relate water potential within the stem to
stomatal conductance of the leaves at each height throughout the crown. While
highly simplified, this approach brings additional realism to the simulation of
transpiration by linking stomatal responses to stem water potential rather than
directly to soil moisture, as is currently the case in the majority of land surface
models. FETCH2 accounts for plant hydraulic traits, such as the degree of anisohydric/isohydric
response of stomata, maximal xylem conductivity, vertical distribution of leaf
area, and maximal and minimal xylem water content. We used FETCH2 along with sap
flow and eddy covariance data sets collected from a mixed plot of two genera (oak/pine)
in Silas Little Experimental Forest, NJ, USA, to conduct an analysis of the intergeneric
variation of hydraulic strategies and their effects on diurnal and seasonal transpiration
dynamics. We define these strategies through the parameters that describe the
genus level transpiration and xylem conductivity responses to changes in stem
water potential. Our evaluation revealed that FETCH2 considerably improved the
simulation of ecosystem transpiration and latent heat flux in comparison to more
conventional models. A virtual experiment showed that the model was able to capture
the effect of hydraulic strategies such as isohydric/anisohydric behavior on stomatal
conductance under different soil-water availability conditions.
article_processing_charge: No
article_type: original
author:
- first_name: Golnazalsadat
full_name: Mirfenderesgi, Golnazalsadat
last_name: Mirfenderesgi
- first_name: Gil
full_name: Bohrer, Gil
last_name: Bohrer
- first_name: Ashley M.
full_name: Matheny, Ashley M.
last_name: Matheny
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Renato Prata
full_name: de Moraes Frasson, Renato Prata
last_name: de Moraes Frasson
- first_name: Karina V. R.
full_name: Schäfer, Karina V. R.
last_name: Schäfer
citation:
ama: 'Mirfenderesgi G, Bohrer G, Matheny AM, Fatichi S, de Moraes Frasson RP, Schäfer
KVR. Tree level hydrodynamic approach for resolving aboveground water storage
and stomatal conductance and modeling the effects of tree hydraulic strategy.
Journal of Geophysical Research: Biogeosciences. 2016;121(7):1792-1813.
doi:10.1002/2016jg003467'
apa: 'Mirfenderesgi, G., Bohrer, G., Matheny, A. M., Fatichi, S., de Moraes Frasson,
R. P., & Schäfer, K. V. R. (2016). Tree level hydrodynamic approach for resolving
aboveground water storage and stomatal conductance and modeling the effects of
tree hydraulic strategy. Journal of Geophysical Research: Biogeosciences.
American Geophysical Union. https://doi.org/10.1002/2016jg003467'
chicago: 'Mirfenderesgi, Golnazalsadat, Gil Bohrer, Ashley M. Matheny, Simone Fatichi,
Renato Prata de Moraes Frasson, and Karina V. R. Schäfer. “Tree Level Hydrodynamic
Approach for Resolving Aboveground Water Storage and Stomatal Conductance and
Modeling the Effects of Tree Hydraulic Strategy.” Journal of Geophysical Research:
Biogeosciences. American Geophysical Union, 2016. https://doi.org/10.1002/2016jg003467.'
ieee: 'G. Mirfenderesgi, G. Bohrer, A. M. Matheny, S. Fatichi, R. P. de Moraes Frasson,
and K. V. R. Schäfer, “Tree level hydrodynamic approach for resolving aboveground
water storage and stomatal conductance and modeling the effects of tree hydraulic
strategy,” Journal of Geophysical Research: Biogeosciences, vol. 121, no.
7. American Geophysical Union, pp. 1792–1813, 2016.'
ista: 'Mirfenderesgi G, Bohrer G, Matheny AM, Fatichi S, de Moraes Frasson RP, Schäfer
KVR. 2016. Tree level hydrodynamic approach for resolving aboveground water storage
and stomatal conductance and modeling the effects of tree hydraulic strategy.
Journal of Geophysical Research: Biogeosciences. 121(7), 1792–1813.'
mla: 'Mirfenderesgi, Golnazalsadat, et al. “Tree Level Hydrodynamic Approach for
Resolving Aboveground Water Storage and Stomatal Conductance and Modeling the
Effects of Tree Hydraulic Strategy.” Journal of Geophysical Research: Biogeosciences,
vol. 121, no. 7, American Geophysical Union, 2016, pp. 1792–813, doi:10.1002/2016jg003467.'
short: 'G. Mirfenderesgi, G. Bohrer, A.M. Matheny, S. Fatichi, R.P. de Moraes Frasson,
K.V.R. Schäfer, Journal of Geophysical Research: Biogeosciences 121 (2016) 1792–1813.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:25Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2026-08-12T07:59:30Z
day: '01'
doi: 10.1002/2016jg003467
extern: '1'
fulldoi: https://doi.org/10.1002/2016jg003467
intvolume: ' 121'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/2016JG003467
month: '07'
oa: 1
oa_version: Published Version
page: 1792-1813
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: Tree level hydrodynamic approach for resolving aboveground water storage and
stomatal conductance and modeling the effects of tree hydraulic strategy
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 121
year: '2016'
...
---
OA_place: publisher
OA_type: free access
_id: '22533'
abstract:
- lang: eng
text: 'While the importance of ecosystem functioning is undisputed in the context
of climate change and Earth system modeling, the role of short‐scale temporal
variability of hydrometeorological forcing (~1 h) on the related ecosystem processes
remains to be fully understood. Various impacts of meteorological forcing variability
on water and carbon fluxes across a range of scales are explored here using numerical
simulations. Synthetic meteorological drivers that highlight dynamic features
of the short temporal scale in series of precipitation, temperature, and radiation
are constructed. These drivers force a mechanistic ecohydrological model that
propagates information content into the dynamics of water and carbon fluxes for
an ensemble of representative ecosystems. The focus of the analysis is on a cross‐scale
effect of the short‐scale forcing variability on the modeled evapotranspiration
and ecosystem carbon assimilation. Interannual variability of water and carbon
fluxes is emphasized in the analysis. The main study inferences are summarized
as follows: (a) short‐scale variability of meteorological input does affect water
and carbon fluxes across a wide range of time scales, spanning from the hourly
to the annual and longer scales; (b) different ecosystems respond to the various
characteristics of the short‐scale variability of the climate forcing in various
ways, depending on dominant factors limiting system productivity; (c) whenever
short‐scale variability of meteorological forcing influences primarily fast processes
such as photosynthesis, its impact on the slow‐scale variability of water and
carbon fluxes is small; and (d) whenever short‐scale variability of the meteorological
forcing impacts slow processes such as movement and storage of water in the soil,
the effects of the variability can propagate to annual and longer time scales.'
article_processing_charge: No
article_type: original
author:
- first_name: Athanasios
full_name: Paschalis, Athanasios
last_name: Paschalis
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Gabriel G.
full_name: Katul, Gabriel G.
last_name: Katul
- first_name: Valeriy Y.
full_name: Ivanov, Valeriy Y.
last_name: Ivanov
citation:
ama: 'Paschalis A, Fatichi S, Katul GG, Ivanov VY. Cross‐scale impact of climate
temporal variability on ecosystem water and carbon fluxes. Journal of Geophysical
Research: Biogeosciences. 2015;120(9):1716-1740. doi:10.1002/2015jg003002'
apa: 'Paschalis, A., Fatichi, S., Katul, G. G., & Ivanov, V. Y. (2015). Cross‐scale
impact of climate temporal variability on ecosystem water and carbon fluxes. Journal
of Geophysical Research: Biogeosciences. American Geophysical Union. https://doi.org/10.1002/2015jg003002'
chicago: 'Paschalis, Athanasios, Simone Fatichi, Gabriel G. Katul, and Valeriy Y.
Ivanov. “Cross‐scale Impact of Climate Temporal Variability on Ecosystem Water
and Carbon Fluxes.” Journal of Geophysical Research: Biogeosciences. American
Geophysical Union, 2015. https://doi.org/10.1002/2015jg003002.'
ieee: 'A. Paschalis, S. Fatichi, G. G. Katul, and V. Y. Ivanov, “Cross‐scale impact
of climate temporal variability on ecosystem water and carbon fluxes,” Journal
of Geophysical Research: Biogeosciences, vol. 120, no. 9. American Geophysical
Union, pp. 1716–1740, 2015.'
ista: 'Paschalis A, Fatichi S, Katul GG, Ivanov VY. 2015. Cross‐scale impact of
climate temporal variability on ecosystem water and carbon fluxes. Journal of
Geophysical Research: Biogeosciences. 120(9), 1716–1740.'
mla: 'Paschalis, Athanasios, et al. “Cross‐scale Impact of Climate Temporal Variability
on Ecosystem Water and Carbon Fluxes.” Journal of Geophysical Research: Biogeosciences,
vol. 120, no. 9, American Geophysical Union, 2015, pp. 1716–40, doi:10.1002/2015jg003002.'
short: 'A. Paschalis, S. Fatichi, G.G. Katul, V.Y. Ivanov, Journal of Geophysical
Research: Biogeosciences 120 (2015) 1716–1740.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2015-09-01T00:00:00Z
date_updated: 2026-08-06T08:06:41Z
day: '01'
doi: 10.1002/2015jg003002
extern: '1'
fulldoi: https://doi.org/10.1002/2015jg003002
intvolume: ' 120'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/2015JG003002
month: '09'
oa: 1
oa_version: Published Version
page: 1716-1740
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: Cross‐scale impact of climate temporal variability on ecosystem water and carbon
fluxes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 120
year: '2015'
...
---
OA_place: publisher
OA_type: free access
_id: '22532'
abstract:
- lang: eng
text: 'The coarse‐grained spatial representation of many terrestrial ecosystem models
hampers the importance of local‐scale heterogeneities. To address this issue,
we combine a range of observations (forest inventories, eddy flux tower data,
and remote sensing products) and modeling approaches with contrasting degrees
of abstraction. The following models are selected: (i) Lund‐Potsdam‐Jena (LPJ),
a well‐established, area‐based, dynamic global vegetation model (DGVM); (ii) LPJ‐General
Ecosystem Simulator, a hybrid, individual‐based approach that additionally considers
plant population dynamics in greater detail; and (iii) distributed in space‐LPJ,
a spatially explicit version of LPJ, operating at a fine spatial resolution (100 m × 100 m),
which uses an enhanced hydrological representation accounting for lateral connectivity
of surface and subsurface water fluxes. By comparing model simulations with a
multivariate data set available at the catchment scale, we argue that (i) local
environmental and topographic attributes that are often ignored or crudely represented
in DGVM applications exert a strong control on terrestrial ecosystem response;
(ii) the assumption of steady state vegetation and soil carbon pools at the beginning
of simulation studies (e.g., under “current conditions”), as embedded in many
DGVM applications, is in contradiction with the current state of many forests
that are often out of equilibrium; and (iii) model evaluation against vegetation
carbon fluxes does not imply an accurate simulation of vegetation carbon stocks.
Having gained insights about the magnitude of aggregation‐induced biases due to
smoothing of spatial variability at the catchment scale, we discuss the implications
of our findings with respect to the global‐scale modeling studies of carbon cycle
and we illustrate alternative ways forward.'
article_processing_charge: No
article_type: original
author:
- first_name: Christoforos
full_name: Pappas, Christoforos
last_name: Pappas
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Stefan
full_name: Rimkus, Stefan
last_name: Rimkus
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
- first_name: Markus O.
full_name: Huber, Markus O.
last_name: Huber
citation:
ama: 'Pappas C, Fatichi S, Rimkus S, Burlando P, Huber MO. The role of local‐scale
heterogeneities in terrestrial ecosystem modeling. Journal of Geophysical Research:
Biogeosciences. 2015;120(2):341-360. doi:10.1002/2014jg002735'
apa: 'Pappas, C., Fatichi, S., Rimkus, S., Burlando, P., & Huber, M. O. (2015).
The role of local‐scale heterogeneities in terrestrial ecosystem modeling. Journal
of Geophysical Research: Biogeosciences. American Geophysical Union. https://doi.org/10.1002/2014jg002735'
chicago: 'Pappas, Christoforos, Simone Fatichi, Stefan Rimkus, Paolo Burlando, and
Markus O. Huber. “The Role of Local‐scale Heterogeneities in Terrestrial Ecosystem
Modeling.” Journal of Geophysical Research: Biogeosciences. American Geophysical
Union, 2015. https://doi.org/10.1002/2014jg002735.'
ieee: 'C. Pappas, S. Fatichi, S. Rimkus, P. Burlando, and M. O. Huber, “The role
of local‐scale heterogeneities in terrestrial ecosystem modeling,” Journal
of Geophysical Research: Biogeosciences, vol. 120, no. 2. American Geophysical
Union, pp. 341–360, 2015.'
ista: 'Pappas C, Fatichi S, Rimkus S, Burlando P, Huber MO. 2015. The role of local‐scale
heterogeneities in terrestrial ecosystem modeling. Journal of Geophysical Research:
Biogeosciences. 120(2), 341–360.'
mla: 'Pappas, Christoforos, et al. “The Role of Local‐scale Heterogeneities in Terrestrial
Ecosystem Modeling.” Journal of Geophysical Research: Biogeosciences, vol.
120, no. 2, American Geophysical Union, 2015, pp. 341–60, doi:10.1002/2014jg002735.'
short: 'C. Pappas, S. Fatichi, S. Rimkus, P. Burlando, M.O. Huber, Journal of Geophysical
Research: Biogeosciences 120 (2015) 341–360.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2015-02-01T00:00:00Z
date_updated: 2026-08-06T08:41:45Z
day: '01'
doi: 10.1002/2014jg002735
extern: '1'
fulldoi: https://doi.org/10.1002/2014jg002735
intvolume: ' 120'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/2014JG002735
month: '02'
oa: 1
oa_version: Published Version
page: 341-360
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: The role of local‐scale heterogeneities in terrestrial ecosystem modeling
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 120
year: '2015'
...
---
OA_place: publisher
OA_type: free access
_id: '22552'
abstract:
- lang: eng
text: Dynamic vegetation models have been widely used for analyzing ecosystem dynamics
and their interactions with climate. Their performance has been tested extensively
against observations and by model intercomparison studies. In the present analysis,
Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS), a state-of-the-art
ecosystem model, was evaluated by performing a global sensitivity analysis. The
study aims at examining potential model limitations, particularly with regard
to long-term applications. A detailed sensitivity analysis based on variance decomposition
is presented to investigate structural model assumptions and to highlight processes
and parameters that cause the highest variability in the output. First- and total-order
sensitivity indices were calculated for selected parameters using Sobol's methodology.
In order to elucidate the role of climate on model sensitivity, different climate
forcings were used based on observations from Switzerland. The results clearly
indicate a very high sensitivity of LPJ-GUESS to photosynthetic parameters. Intrinsic
quantum efficiency alone is able to explain about 60% of the variability in vegetation
carbon fluxes and pools for a wide range of climate forcings. Processes related
to light harvesting were also found to be important together with parameters affecting
forest structure (growth, establishment, and mortality). The model shows minor
sensitivity to hydrological and soil texture parameters, questioning its skills
in representing spatial vegetation heterogeneity at regional or watershed scales.
In the light of these results, we discuss the deficiencies of LPJ-GUESS and possibly
that of other, structurally similar, dynamic vegetation models and we highlight
potential directions for further model improvements.
article_processing_charge: No
article_type: original
author:
- first_name: Christoforos
full_name: Pappas, Christoforos
last_name: Pappas
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Sebastian
full_name: Leuzinger, Sebastian
last_name: Leuzinger
- first_name: Annett
full_name: Wolf, Annett
last_name: Wolf
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
citation:
ama: 'Pappas C, Fatichi S, Leuzinger S, Wolf A, Burlando P. Sensitivity analysis
of a process‐based ecosystem model: Pinpointing parameterization and structural
issues. Journal of Geophysical Research: Biogeosciences. 2013;118(2):505-528.
doi:10.1002/jgrg.20035'
apa: 'Pappas, C., Fatichi, S., Leuzinger, S., Wolf, A., & Burlando, P. (2013).
Sensitivity analysis of a process‐based ecosystem model: Pinpointing parameterization
and structural issues. Journal of Geophysical Research: Biogeosciences.
American Geophysical Union. https://doi.org/10.1002/jgrg.20035'
chicago: 'Pappas, Christoforos, Simone Fatichi, Sebastian Leuzinger, Annett Wolf,
and Paolo Burlando. “Sensitivity Analysis of a Process‐based Ecosystem Model:
Pinpointing Parameterization and Structural Issues.” Journal of Geophysical
Research: Biogeosciences. American Geophysical Union, 2013. https://doi.org/10.1002/jgrg.20035.'
ieee: 'C. Pappas, S. Fatichi, S. Leuzinger, A. Wolf, and P. Burlando, “Sensitivity
analysis of a process‐based ecosystem model: Pinpointing parameterization and
structural issues,” Journal of Geophysical Research: Biogeosciences, vol.
118, no. 2. American Geophysical Union, pp. 505–528, 2013.'
ista: 'Pappas C, Fatichi S, Leuzinger S, Wolf A, Burlando P. 2013. Sensitivity analysis
of a process‐based ecosystem model: Pinpointing parameterization and structural
issues. Journal of Geophysical Research: Biogeosciences. 118(2), 505–528.'
mla: 'Pappas, Christoforos, et al. “Sensitivity Analysis of a Process‐based Ecosystem
Model: Pinpointing Parameterization and Structural Issues.” Journal of Geophysical
Research: Biogeosciences, vol. 118, no. 2, American Geophysical Union, 2013,
pp. 505–28, doi:10.1002/jgrg.20035.'
short: 'C. Pappas, S. Fatichi, S. Leuzinger, A. Wolf, P. Burlando, Journal of Geophysical
Research: Biogeosciences 118 (2013) 505–528.'
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2013-06-01T00:00:00Z
date_updated: 2026-08-06T08:17:13Z
day: '01'
doi: 10.1002/jgrg.20035
extern: '1'
fulldoi: https://doi.org/10.1002/jgrg.20035
intvolume: ' 118'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.1002/jgrg.20035'
month: '06'
oa: 1
oa_version: Published Version
page: 505-528
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: 'Sensitivity analysis of a process‐based ecosystem model: Pinpointing parameterization
and structural issues'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 118
year: '2013'
...