UDTR Global Rights of Nature Radar

Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand?

Identification

Public canonical key

doi:10.1111/gcb.15024

Authors

Athanasios Paschalis · Simone Fatichi · Jakob Zscheischler A · Philippe Ciais · Michael Bahn · Lena R. Boysen · Jinfeng Chang · Martin G. De Kauwe · Marc Estiarte · Daniel Sebastian Goll · Paul J. Hanson · Anna Harper · Enqing Hou · Jaime Kigel · Alan K. Knapp · Klaus Steenberg Larsen · Wei Li · Sebastian Lienert · Yiqi Luo · Patrick Meir · Julia E. M. S. Nabel · Romà Ogaya · Anthony J. Parolari · C. H. Peng · Josep Peñuelas · Julia Pongratz · Serge Rambal · Inger Kappel Schmidt · Hao Shi · Marcelo Sternberg · Hanqin Tian · Elisabeth Tschumi · Anna Ukkola · Sara Vicca · Nicolas Viovy · Ying‐Ping Wang · Zhuonan Wang · Karina Williams · Donghai Wu · Qiuan Zhu

Reported year

2020

Reported language

en

Source type

article

First detected

2026-11-09T19:19:20.110798+00:00

Last metadata observation

2026-11-09T19:19:20.110798+00:00

Last HTTP verification

Not checked

Institutions reported by the source

ARC Centre of Excellence for Climate Extremes · Auburn University · Australian National University · Centre National de la Recherche Scientifique · Centre d'Écologie Fonctionnelle et Évolutive · Centre for Research on Ecology and Forestry Applications · Colorado State University · Commonwealth Scientific and Industrial Research Organisation · Consejo Superior de Investigaciones Científicas · ETH Zurich · Global Ecology Unit CREAF-CSIC-UAB · Hebrew University of Jerusalem · Imperial College London · Institute of Environmental Engineering · Laboratoire des Sciences du Climat et de l'Environnement · Ludwig-Maximilians-Universität München · Marquette University · Max Planck Institute for Meteorology · Met Office · Northern Arizona University · Northwest A&F University · Oak Ridge National Laboratory · Oeschger Centre for Climate Change Research · Peking University · Tel Aviv University · Tsinghua University · UNSW Sydney · University of Antwerp · University of Augsburg · University of Bern · University of Copenhagen · University of Edinburgh · University of Exeter · Universität Innsbruck · Université Paul-Valéry Montpellier · Université de Montpellier · Université du Québec à Montréal · École Pratique des Hautes Études

Documentary abstract — original language

Changes in rainfall amounts and patterns have been observed and are expected to continue in the near future with potentially significant ecological and societal consequences. Modelling vegetation responses to changes in rainfall is thus crucial to project water and carbon cycles in the future. In this study, we present the results of a new model-data intercomparison project, where we tested the ability of 10 terrestrial biosphere models to reproduce the observed sensitivity of ecosystem productivity to rainfall changes at 10 sites across the globe, in nine of which, rainfall exclusion and/or irrigation experiments had been performed. The key results are as follows: (a) Inter-model variation is generally large and model agreement varies with timescales. In severely water-limited sites, models only agree on the interannual variability of evapotranspiration and to a smaller extent on gross primary productivity. In more mesic sites, model agreement for both water and carbon fluxes is typically higher on fine (daily-monthly) timescales and reduces on longer (seasonal-annual) scales. (b) Models on average overestimate the relationship between ecosystem productivity and mean rainfall amounts across sites (in space) and have a low capacity in reproducing the temporal (interannual) sensitivity of vegetation productivity to annual rainfall at a given site, even though observation uncertainty is comparable to inter-model variability. (c) Most models reproduced the sign of the observed patterns in productivity changes in rainfall manipulation experiments but had a low capacity in reproducing the observed magnitude of productivity changes. Models better reproduced the observed productivity responses due to rainfall exclusion than addition. (d) All models attribute ecosystem productivity changes to the intensity of vegetation stress and peak leaf area, whereas the impact of the change in growing season length is negligible. The relative contribution of the peak leaf area and vegetation stress intensity was highly variable among models.

Identifiers

OPENALEX

W3003752292

DOI

10.1111/gcb.15024

Documentary context

Documentary family

Scholarship

Source-reported types

article

Natural entities mentioned

Ecosystem

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

OpenAlex · Record 1 · Record 2

• DOI · https://doi.org/10.1111/gcb.15024
• OpenAlex · https://openalex.org/W3003752292

Documented bibliographic relations

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• openalex:w1987204722 · CITES

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Documentary status

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