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Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites

Authors :
Simone Fatichi
Nicolas Viovy
Yiqi Luo
Yongwen Liu
Ying-Ping Wang
Yue He
Almut Arneth
Julia Pongratz
Donghai Wu
Julia Nabel
Daniel M. Ricciuto
Stephen Sitch
Sebastian Sippel
Qiuan Zhu
Akihiko Ito
Philippe Ciais
Johannes Ingrisch
Hélène Genet
Michael Schmitt
Alan K. Knapp
Athanasios Paschalis
Changhui Peng
Anna B. Harper
David Reinthaler
Shilong Piao
Kevin R. Wilcox
Xiaoying Shi
Lena Boysen
Anna M. Ukkola
Hanqin Tian
Sara Vicca
Michael Bahn
Jiafu Mao
Markus Kautz
Guangsheng Chen
Benjamin Poulter
Jakob Zscheischler
Melinda D. Smith
Roland Hasibeder
Patrick Meir
Xiangyi Li
Shree R. S. Dangal
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences
Peking University [Beijing]
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
ICOS-ATC (ICOS-ATC)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Modélisation des Surfaces et Interfaces Continentales (MOSAIC)
Colorado State University [Fort Collins] (CSU)
University of Oklahoma (OU)
Institute of Ecology
Technische Universität Berlin (TU)
Department of Biology, Centre of Excellence PLECO (Plant and Vegetation Ecology)
University of Antwerp (UA)
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)
Max Planck Institute for Biogeochemistry (MPI-BGC)
Max-Planck-Gesellschaft
University of California [San Francisco] (UCSF)
University of California
National Institute for Environmental Studies (NIES)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Karlsruher Institut für Technologie (KIT)
Université du Québec à Trois-Rivières (UQTR)
Environmental Sciences Division [Oak Ridge]
Oak Ridge National Laboratory [Oak Ridge] (ORNL)
UT-Battelle, LLC-UT-Battelle, LLC
Northeast Forestry University
Shandong Agricultural University (SDAU)
Institute of Arctic Biology
University of Alaska [Anchorage]
Centre Hospitalier de l'Université de Montréal (CHUM)
Université de Montréal (UdeM)
Max Planck Institute for Meteorology (MPI-M)
Department of Global Ecology [Carnegie] (DGE)
Carnegie Institution for Science [Washington]
Karlsruhe Institute of Technology (KIT)
University of Innsbruck
Research School of Biology [Canberra, Australia]
Australian National University (ANU)
Northwest A and F University
Institute for Atmospheric and Climate Science [Zürich] (IAC)
Auburn University (AU)
Exeter Climate Systems, University of Exeter, Exeter, United Kingdom
Climate Change Science Institute [Oak Ridge] (CCSI)
CSIRO Marine and Atmospheric Research [Aspendale]
Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO)
Department of Microbiology and Plant Biology
Environnement de Réseaux Autonomes (ERA)
Institut Charles Delaunay (ICD)
Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Technical University of Berlin / Technische Universität Berlin (TU)
University of California [San Francisco] (UC San Francisco)
University of California (UC)
Northeast Forestry University (NEFU)
University of Alaska [Fairbanks] (UAF)
Carnegie Institution for Science
Leopold Franzens Universität Innsbruck - University of Innsbruck
University of Exeter
Source :
Biogeosciences, Biogeosciences, European Geosciences Union, 2018, 15 (11), pp.3421-3437. ⟨10.5194/bg-15-3421-2018⟩, Biogeosciences, 15 (11), 3421-3437, Meir, P 2018, ' Asymmetric Responses of Primary Productivity to Altered Precipitation Simulated by Ecosystem Models across Three Long-term Grassland Sites ', Biogeosciences . https://doi.org/10.5194/bg-15-3421-2018, Biogeosciences, 2018, 15 (11), pp.3421-3437. ⟨10.5194/bg-15-3421-2018⟩, Biogeosciences, 15 (11), Biogeosciences, Vol 15, Pp 3421-3437 (2018)
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

Field measurements of aboveground net primary productivity (ANPP) in temperate grasslands suggest that both positive and negative asymmetric responses to changes in precipitation (P) may occur. Under normal range of precipitation variability, wet years typically result in ANPP gains being larger than ANPP declines in dry years (positive asymmetry), whereas increases in ANPP are lower in magnitude in extreme wet years compared to reductions during extreme drought (negative asymmetry). Whether the current generation of ecosystem models with a coupled carbon–water system in grasslands are capable of simulating these asymmetric ANPP responses is an unresolved question. In this study, we evaluated the simulated responses of temperate grassland primary productivity to scenarios of altered precipitation with 14 ecosystem models at three sites: Shortgrass steppe (SGS), Konza Prairie (KNZ) and Stubai Valley meadow (STU), spanning a rainfall gradient from dry to moist. We found that (1) the spatial slopes derived from modeled primary productivity and precipitation across sites were steeper than the temporal slopes obtained from inter-annual variations, which was consistent with empirical data; (2) the asymmetry of the responses of modeled primary productivity under normal inter-annual precipitation variability differed among models, and the mean of the model ensemble suggested a negative asymmetry across the three sites, which was contrary to empirical evidence based on filed observations; (3) the mean sensitivity of modeled productivity to rainfall suggested greater negative response with reduced precipitation than positive response to an increased precipitation under extreme conditions at the three sites; and (4) gross primary productivity (GPP), net primary productivity (NPP), aboveground NPP (ANPP) and belowground NPP (BNPP) all showed concave-down nonlinear responses to altered precipitation in all the models, but with different curvatures and mean values. Our results indicated that most models overestimate the negative drought effects and/or underestimate the positive effects of increased precipitation on primary productivity under normal climate conditions, highlighting the need for improving eco-hydrological processes in those models in the future.

Details

Language :
English
ISSN :
17264170 and 17264189
Database :
OpenAIRE
Journal :
Biogeosciences, Biogeosciences, European Geosciences Union, 2018, 15 (11), pp.3421-3437. ⟨10.5194/bg-15-3421-2018⟩, Biogeosciences, 15 (11), 3421-3437, Meir, P 2018, ' Asymmetric Responses of Primary Productivity to Altered Precipitation Simulated by Ecosystem Models across Three Long-term Grassland Sites ', Biogeosciences . https://doi.org/10.5194/bg-15-3421-2018, Biogeosciences, 2018, 15 (11), pp.3421-3437. ⟨10.5194/bg-15-3421-2018⟩, Biogeosciences, 15 (11), Biogeosciences, Vol 15, Pp 3421-3437 (2018)
Accession number :
edsair.doi.dedup.....09952f0555521708fcdc672d608788e6