[{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","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>","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>.","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).","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>","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."},"day":"01","oa_version":"Published Version","tmp":{"name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode"},"OA_type":"hybrid","publication_status":"published","_id":"22492","fulldoi":"https://doi.org/10.1029/2021jg006735","title":"Insensitivity of ecosystem productivity to predicted changes in fine‐scale rainfall variability","article_number":"e2021JG006735","language":[{"iso":"eng"}],"doi":"10.1029/2021jg006735","article_type":"original","oa":1,"month":"02","issue":"2","status":"public","das_tickbox":"1","date_created":"2026-07-27T12:30:23Z","publication_identifier":{"issn":["2169-8953"],"eissn":["2169-8961"]},"article_processing_charge":"No","extern":"1","author":[{"first_name":"Yiannis","full_name":"Moustakis, Yiannis","last_name":"Moustakis"},{"last_name":"Fatichi","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","first_name":"Simone","full_name":"Fatichi, Simone"},{"first_name":"Christian","full_name":"Onof, Christian","last_name":"Onof"},{"full_name":"Paschalis, Athanasios","first_name":"Athanasios","last_name":"Paschalis"}],"date_updated":"2026-07-30T09:37:01Z","year":"2022","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1029/2021JG006735"}],"volume":127,"type":"journal_article","scopus_import":"1","publisher":"American Geophysical Union","intvolume":"       127","abstract":[{"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.","lang":"eng"}],"has_accepted_license":"1","license":"https://creativecommons.org/licenses/by-nc/4.0/","quality_controlled":"1","ddc":["550"],"publication":"Journal of Geophysical Research: Biogeosciences","OA_place":"publisher","date_published":"2022-02-01T00:00:00Z"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Manoli, Gabriele, et al. “Dry‐season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 123, no. 6, American Geophysical Union, 2018, pp. 1909–26, doi:<a href=\"https://doi.org/10.1029/2017jg004282\">10.1029/2017jg004282</a>.","short":"G. Manoli, V.Y. Ivanov, S. Fatichi, Journal of Geophysical Research: Biogeosciences 123 (2018) 1909–1926.","ieee":"G. Manoli, V. Y. Ivanov, and S. Fatichi, “Dry‐season greening and water stress in Amazonia: The role of modeling leaf phenology,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 123, no. 6. American Geophysical Union, pp. 1909–1926, 2018.","apa":"Manoli, G., Ivanov, V. Y., &#38; Fatichi, S. (2018). Dry‐season greening and water stress in Amazonia: The role of modeling leaf phenology. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2017jg004282\">https://doi.org/10.1029/2017jg004282</a>","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.","chicago":"Manoli, Gabriele, Valeriy Y. Ivanov, and Simone Fatichi. “Dry‐season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2018. <a href=\"https://doi.org/10.1029/2017jg004282\">https://doi.org/10.1029/2017jg004282</a>.","ama":"Manoli G, Ivanov VY, Fatichi S. Dry‐season greening and water stress in Amazonia: The role of modeling leaf phenology. <i>Journal of Geophysical Research: Biogeosciences</i>. 2018;123(6):1909-1926. doi:<a href=\"https://doi.org/10.1029/2017jg004282\">10.1029/2017jg004282</a>"},"day":"01","oa_version":"Published Version","OA_type":"free access","publication_status":"published","_id":"22440","fulldoi":"https://doi.org/10.1029/2017jg004282","title":"Dry‐season greening and water stress in Amazonia: The role of modeling leaf phenology","doi":"10.1029/2017jg004282","article_type":"original","language":[{"iso":"eng"}],"oa":1,"page":"1909-1926","month":"06","issue":"6","das_tickbox":"1","status":"public","publication_identifier":{"eissn":["2169-8961"],"issn":["2169-8953"]},"date_created":"2026-07-27T12:30:23Z","extern":"1","article_processing_charge":"No","author":[{"first_name":"Gabriele","full_name":"Manoli, Gabriele","last_name":"Manoli"},{"last_name":"Ivanov","first_name":"Valeriy Y.","full_name":"Ivanov, Valeriy Y."},{"full_name":"Fatichi, Simone","first_name":"Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","last_name":"Fatichi"}],"date_updated":"2026-07-30T06:04:25Z","year":"2018","main_file_link":[{"url":"https://doi.org/10.1029/2017JG004282","open_access":"1"}],"volume":123,"scopus_import":"1","type":"journal_article","publisher":"American Geophysical Union","intvolume":"       123","abstract":[{"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 &amp; 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.","lang":"eng"}],"quality_controlled":"1","publication":"Journal of Geophysical Research: Biogeosciences","OA_place":"publisher","date_published":"2018-06-01T00:00:00Z"},{"publication":"Journal of Geophysical Research: Biogeosciences","OA_place":"publisher","date_published":"2017-09-01T00:00:00Z","quality_controlled":"1","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."}],"intvolume":"       122","publisher":"American Geophysical Union","type":"journal_article","scopus_import":"1","volume":122,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1002/2017JG003890"}],"date_updated":"2026-08-11T06:46:14Z","author":[{"full_name":"Mastrotheodoros, Theodoros","first_name":"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"},{"last_name":"Keenan","full_name":"Keenan, Trevor F.","first_name":"Trevor F."},{"last_name":"Gentine","full_name":"Gentine, Pierre","first_name":"Pierre"},{"last_name":"Gough","full_name":"Gough, Christopher M.","first_name":"Christopher M."},{"first_name":"Simone","full_name":"Fatichi, Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","last_name":"Fatichi"}],"year":"2017","extern":"1","article_processing_charge":"No","das_tickbox":"1","status":"public","publication_identifier":{"eissn":["2169-8961"],"issn":["2169-8953"]},"date_created":"2026-07-27T12:30:23Z","issue":"9","month":"09","oa":1,"page":"2393-2408","article_type":"original","language":[{"iso":"eng"}],"doi":"10.1002/2017jg003890","_id":"22488","title":"Linking plant functional trait plasticity and the large increase in forest water use efficiency","fulldoi":"https://doi.org/10.1002/2017jg003890","publication_status":"published","OA_type":"free access","oa_version":"Published Version","day":"01","citation":{"ama":"Mastrotheodoros T, Pappas C, Molnar P, et al. Linking plant functional trait plasticity and the large increase in forest water use efficiency. <i>Journal of Geophysical Research: Biogeosciences</i>. 2017;122(9):2393-2408. doi:<a href=\"https://doi.org/10.1002/2017jg003890\">10.1002/2017jg003890</a>","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.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2017. <a href=\"https://doi.org/10.1002/2017jg003890\">https://doi.org/10.1002/2017jg003890</a>.","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.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 122, no. 9, American Geophysical Union, 2017, pp. 2393–408, doi:<a href=\"https://doi.org/10.1002/2017jg003890\">10.1002/2017jg003890</a>.","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.","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. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1002/2017jg003890\">https://doi.org/10.1002/2017jg003890</a>","ieee":"T. Mastrotheodoros <i>et al.</i>, “Linking plant functional trait plasticity and the large increase in forest water use efficiency,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 122, no. 9. American Geophysical Union, pp. 2393–2408, 2017."},"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd"},{"extern":"1","article_processing_charge":"No","date_updated":"2026-08-03T13:57:54Z","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"},{"full_name":"Wolf, Sebastian","first_name":"Sebastian","last_name":"Wolf"},{"full_name":"Blanken, Peter D.","first_name":"Peter D.","last_name":"Blanken"},{"last_name":"Bohrer","first_name":"Gil","full_name":"Bohrer, Gil"},{"last_name":"Clark","full_name":"Clark, Kenneth","first_name":"Kenneth"},{"last_name":"Desai","first_name":"Ankur R.","full_name":"Desai, Ankur R."},{"last_name":"Hollinger","first_name":"David","full_name":"Hollinger, David"},{"full_name":"Keenan, Trevor","first_name":"Trevor","last_name":"Keenan"},{"first_name":"Kimberly A.","full_name":"Novick, Kimberly A.","last_name":"Novick"},{"last_name":"Seneviratne","full_name":"Seneviratne, Sonia I.","first_name":"Sonia I."}],"year":"2016","main_file_link":[{"url":" https://doi.org/10.1002/2016JG003503","open_access":"1"}],"volume":121,"scopus_import":"1","type":"journal_article","publisher":"American Geophysical Union","intvolume":"       121","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."}],"has_accepted_license":"1","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","quality_controlled":"1","ddc":["550"],"publication":"Journal of Geophysical Research: Biogeosciences","date_published":"2016-08-01T00:00:00Z","OA_place":"publisher","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","citation":{"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.","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.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2016. <a href=\"https://doi.org/10.1002/2016jg003503\">https://doi.org/10.1002/2016jg003503</a>.","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. <i>Journal of Geophysical Research: Biogeosciences</i>. 2016;121(8):2186-2198. doi:<a href=\"https://doi.org/10.1002/2016jg003503\">10.1002/2016jg003503</a>","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.","mla":"Zscheischler, Jakob, et al. “Short‐term Favorable Weather Conditions Are an Important Control of Interannual Variability in Carbon and Water Fluxes.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 121, no. 8, American Geophysical Union, 2016, pp. 2186–98, doi:<a href=\"https://doi.org/10.1002/2016jg003503\">10.1002/2016jg003503</a>.","ieee":"J. Zscheischler <i>et al.</i>, “Short‐term favorable weather conditions are an important control of interannual variability in carbon and water fluxes,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 121, no. 8. American Geophysical Union, pp. 2186–2198, 2016.","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. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1002/2016jg003503\">https://doi.org/10.1002/2016jg003503</a>"},"day":"01","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"oa_version":"Published Version","publication_status":"published","pmid":1,"OA_type":"hybrid","_id":"22574","fulldoi":"https://doi.org/10.1002/2016jg003503","title":"Short‐term favorable weather conditions are an important control of interannual variability in carbon and water fluxes","doi":"10.1002/2016jg003503","language":[{"iso":"eng"}],"article_type":"original","oa":1,"page":"2186-2198","external_id":{"pmid":["27774367"]},"month":"08","issue":"8","status":"public","das_tickbox":"1","date_created":"2026-07-27T12:30:24Z","publication_identifier":{"eissn":["2169-8961"],"issn":["2169-8953"]}},{"publication_status":"published","OA_type":"free access","oa_version":"Published Version","title":"Tree level hydrodynamic approach for resolving aboveground water storage and stomatal conductance and modeling the effects of tree hydraulic strategy","fulldoi":"https://doi.org/10.1002/2016jg003467","_id":"22580","citation":{"apa":"Mirfenderesgi, G., Bohrer, G., Matheny, A. M., Fatichi, S., de Moraes Frasson, R. P., &#38; 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. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1002/2016jg003467\">https://doi.org/10.1002/2016jg003467</a>","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,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 121, no. 7. American Geophysical Union, pp. 1792–1813, 2016.","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.","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.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 121, no. 7, American Geophysical Union, 2016, pp. 1792–813, doi:<a href=\"https://doi.org/10.1002/2016jg003467\">10.1002/2016jg003467</a>.","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. <i>Journal of Geophysical Research: Biogeosciences</i>. 2016;121(7):1792-1813. doi:<a href=\"https://doi.org/10.1002/2016jg003467\">10.1002/2016jg003467</a>","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.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2016. <a href=\"https://doi.org/10.1002/2016jg003467\">https://doi.org/10.1002/2016jg003467</a>.","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."},"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","day":"01","issue":"7","month":"07","publication_identifier":{"eissn":["2169-8961"],"issn":["2169-8953"]},"date_created":"2026-07-27T12:30:25Z","status":"public","das_tickbox":"1","doi":"10.1002/2016jg003467","language":[{"iso":"eng"}],"article_type":"original","page":"1792-1813","oa":1,"main_file_link":[{"url":"https://doi.org/10.1002/2016JG003467","open_access":"1"}],"year":"2016","date_updated":"2026-08-12T07:59:30Z","author":[{"first_name":"Golnazalsadat","full_name":"Mirfenderesgi, Golnazalsadat","last_name":"Mirfenderesgi"},{"first_name":"Gil","full_name":"Bohrer, Gil","last_name":"Bohrer"},{"last_name":"Matheny","full_name":"Matheny, Ashley M.","first_name":"Ashley M."},{"last_name":"Fatichi","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","full_name":"Fatichi, Simone","first_name":"Simone"},{"full_name":"de Moraes Frasson, Renato Prata","first_name":"Renato Prata","last_name":"de Moraes Frasson"},{"last_name":"Schäfer","first_name":"Karina V. R.","full_name":"Schäfer, Karina V. R."}],"scopus_import":"1","type":"journal_article","volume":121,"article_processing_charge":"No","extern":"1","quality_controlled":"1","date_published":"2016-07-01T00:00:00Z","OA_place":"publisher","publication":"Journal of Geophysical Research: Biogeosciences","intvolume":"       121","publisher":"American Geophysical Union","abstract":[{"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.","lang":"eng"}]},{"page":"1716-1740","oa":1,"article_type":"original","language":[{"iso":"eng"}],"doi":"10.1002/2015jg003002","publication_identifier":{"issn":["2169-8953"],"eissn":["2169-8961"]},"date_created":"2026-07-27T12:30:24Z","status":"public","das_tickbox":"1","issue":"9","month":"09","day":"01","citation":{"ama":"Paschalis A, Fatichi S, Katul GG, Ivanov VY. Cross‐scale impact of climate temporal variability on ecosystem water and carbon fluxes. <i>Journal of Geophysical Research: Biogeosciences</i>. 2015;120(9):1716-1740. doi:<a href=\"https://doi.org/10.1002/2015jg003002\">10.1002/2015jg003002</a>","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.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2015. <a href=\"https://doi.org/10.1002/2015jg003002\">https://doi.org/10.1002/2015jg003002</a>.","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.","apa":"Paschalis, A., Fatichi, S., Katul, G. G., &#38; Ivanov, V. Y. (2015). Cross‐scale impact of climate temporal variability on ecosystem water and carbon fluxes. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1002/2015jg003002\">https://doi.org/10.1002/2015jg003002</a>","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,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 120, no. 9. American Geophysical Union, pp. 1716–1740, 2015.","short":"A. Paschalis, S. Fatichi, G.G. Katul, V.Y. Ivanov, Journal of Geophysical Research: Biogeosciences 120 (2015) 1716–1740.","mla":"Paschalis, Athanasios, et al. “Cross‐scale Impact of Climate Temporal Variability on Ecosystem Water and Carbon Fluxes.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 120, no. 9, American Geophysical Union, 2015, pp. 1716–40, doi:<a href=\"https://doi.org/10.1002/2015jg003002\">10.1002/2015jg003002</a>."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Cross‐scale impact of climate temporal variability on ecosystem water and carbon fluxes","fulldoi":"https://doi.org/10.1002/2015jg003002","_id":"22533","publication_status":"published","OA_type":"free access","oa_version":"Published Version","abstract":[{"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.","lang":"eng"}],"intvolume":"       120","publisher":"American Geophysical Union","date_published":"2015-09-01T00:00:00Z","OA_place":"publisher","publication":"Journal of Geophysical Research: Biogeosciences","quality_controlled":"1","article_processing_charge":"No","extern":"1","scopus_import":"1","type":"journal_article","volume":120,"main_file_link":[{"url":"https://doi.org/10.1002/2015JG003002","open_access":"1"}],"year":"2015","date_updated":"2026-08-06T08:06:41Z","author":[{"full_name":"Paschalis, Athanasios","first_name":"Athanasios","last_name":"Paschalis"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","last_name":"Fatichi","first_name":"Simone","full_name":"Fatichi, Simone"},{"last_name":"Katul","full_name":"Katul, Gabriel G.","first_name":"Gabriel G."},{"first_name":"Valeriy Y.","full_name":"Ivanov, Valeriy Y.","last_name":"Ivanov"}]},{"_id":"22532","title":"The role of local‐scale heterogeneities in terrestrial ecosystem modeling","fulldoi":"https://doi.org/10.1002/2014jg002735","OA_type":"free access","publication_status":"published","oa_version":"Published Version","day":"01","citation":{"mla":"Pappas, Christoforos, et al. “The Role of Local‐scale Heterogeneities in Terrestrial Ecosystem Modeling.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 120, no. 2, American Geophysical Union, 2015, pp. 341–60, doi:<a href=\"https://doi.org/10.1002/2014jg002735\">10.1002/2014jg002735</a>.","short":"C. Pappas, S. Fatichi, S. Rimkus, P. Burlando, M.O. Huber, Journal of Geophysical Research: Biogeosciences 120 (2015) 341–360.","ieee":"C. Pappas, S. Fatichi, S. Rimkus, P. Burlando, and M. O. Huber, “The role of local‐scale heterogeneities in terrestrial ecosystem modeling,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 120, no. 2. American Geophysical Union, pp. 341–360, 2015.","apa":"Pappas, C., Fatichi, S., Rimkus, S., Burlando, P., &#38; Huber, M. O. (2015). The role of local‐scale heterogeneities in terrestrial ecosystem modeling. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1002/2014jg002735\">https://doi.org/10.1002/2014jg002735</a>","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.","ama":"Pappas C, Fatichi S, Rimkus S, Burlando P, Huber MO. The role of local‐scale heterogeneities in terrestrial ecosystem modeling. <i>Journal of Geophysical Research: Biogeosciences</i>. 2015;120(2):341-360. doi:<a href=\"https://doi.org/10.1002/2014jg002735\">10.1002/2014jg002735</a>","chicago":"Pappas, Christoforos, Simone Fatichi, Stefan Rimkus, Paolo Burlando, and Markus O. Huber. “The Role of Local‐scale Heterogeneities in Terrestrial Ecosystem Modeling.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2015. <a href=\"https://doi.org/10.1002/2014jg002735\">https://doi.org/10.1002/2014jg002735</a>."},"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","status":"public","das_tickbox":"1","publication_identifier":{"issn":["2169-8953"],"eissn":["2169-8961"]},"date_created":"2026-07-27T12:30:24Z","issue":"2","month":"02","oa":1,"page":"341-360","language":[{"iso":"eng"}],"doi":"10.1002/2014jg002735","article_type":"original","type":"journal_article","scopus_import":"1","volume":120,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1002/2014JG002735"}],"author":[{"last_name":"Pappas","first_name":"Christoforos","full_name":"Pappas, Christoforos"},{"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"},{"last_name":"Burlando","full_name":"Burlando, Paolo","first_name":"Paolo"},{"last_name":"Huber","full_name":"Huber, Markus O.","first_name":"Markus O."}],"date_updated":"2026-08-06T08:41:45Z","year":"2015","extern":"1","article_processing_charge":"No","publication":"Journal of Geophysical Research: Biogeosciences","date_published":"2015-02-01T00:00:00Z","OA_place":"publisher","quality_controlled":"1","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."}],"intvolume":"       120","publisher":"American Geophysical Union"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"apa":"Pappas, C., Fatichi, S., Leuzinger, S., Wolf, A., &#38; Burlando, P. (2013). Sensitivity analysis of a process‐based ecosystem model: Pinpointing parameterization and structural issues. <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union. <a href=\"https://doi.org/10.1002/jgrg.20035\">https://doi.org/10.1002/jgrg.20035</a>","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,” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 118, no. 2. American Geophysical Union, pp. 505–528, 2013.","short":"C. Pappas, S. Fatichi, S. Leuzinger, A. Wolf, P. Burlando, Journal of Geophysical Research: Biogeosciences 118 (2013) 505–528.","mla":"Pappas, Christoforos, et al. “Sensitivity Analysis of a Process‐based Ecosystem Model: Pinpointing Parameterization and Structural Issues.” <i>Journal of Geophysical Research: Biogeosciences</i>, vol. 118, no. 2, American Geophysical Union, 2013, pp. 505–28, doi:<a href=\"https://doi.org/10.1002/jgrg.20035\">10.1002/jgrg.20035</a>.","ama":"Pappas C, Fatichi S, Leuzinger S, Wolf A, Burlando P. Sensitivity analysis of a process‐based ecosystem model: Pinpointing parameterization and structural issues. <i>Journal of Geophysical Research: Biogeosciences</i>. 2013;118(2):505-528. doi:<a href=\"https://doi.org/10.1002/jgrg.20035\">10.1002/jgrg.20035</a>","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.” <i>Journal of Geophysical Research: Biogeosciences</i>. American Geophysical Union, 2013. <a href=\"https://doi.org/10.1002/jgrg.20035\">https://doi.org/10.1002/jgrg.20035</a>.","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."},"day":"01","oa_version":"Published Version","OA_type":"free access","publication_status":"published","_id":"22552","fulldoi":"https://doi.org/10.1002/jgrg.20035","title":"Sensitivity analysis of a process‐based ecosystem model: Pinpointing parameterization and structural issues","article_type":"original","doi":"10.1002/jgrg.20035","language":[{"iso":"eng"}],"oa":1,"page":"505-528","month":"06","issue":"2","status":"public","das_tickbox":"1","publication_identifier":{"eissn":["2169-8961"],"issn":["2169-8953"]},"date_created":"2026-07-27T12:30:24Z","article_processing_charge":"No","extern":"1","date_updated":"2026-08-06T08:17:13Z","author":[{"full_name":"Pappas, Christoforos","first_name":"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"},{"last_name":"Wolf","first_name":"Annett","full_name":"Wolf, Annett"},{"first_name":"Paolo","full_name":"Burlando, Paolo","last_name":"Burlando"}],"year":"2013","main_file_link":[{"url":" https://doi.org/10.1002/jgrg.20035","open_access":"1"}],"volume":118,"type":"journal_article","scopus_import":"1","publisher":"American Geophysical Union","intvolume":"       118","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."}],"quality_controlled":"1","publication":"Journal of Geophysical Research: Biogeosciences","date_published":"2013-06-01T00:00:00Z","OA_place":"publisher"}]