WuCiaisViovyEtAl2018

Référence

Wu, D., Ciais, P., Viovy, N., Knapp, A.K., Wilcox, K., Bahn, M., Smith, M.D., Vicca, S., Fatichi, S., Zscheischler, J., He, Y., Li, X., Ito, A., Arneth, A., Harper, A., Ukkola, A., Paschalis, A., Poulter, B., Peng, C., Ricciuto, D., Reinthaler, D., Chen, G., Tian, H., Genet, H., Mao, J., Ingrisch, J., Nabel, J.E.S.M., Pongratz, J., Boysen, L.R., Kautz, M., Schmitt, M., Meir, P., Zhu, Q., Hasibeder, R., Sippel, S., Dangal, S.R.S., Sitch, S., Shi, X., Wang, Y., Luo, Y., Liu, Y., Piao, S. (2018) Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites. Biogeosciences, 15(11):3421-3437. (Scopus )

Résumé

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. © 2018 Author(s).

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@ARTICLE { WuCiaisViovyEtAl2018,
    AUTHOR = { Wu, D. and Ciais, P. and Viovy, N. and Knapp, A.K. and Wilcox, K. and Bahn, M. and Smith, M.D. and Vicca, S. and Fatichi, S. and Zscheischler, J. and He, Y. and Li, X. and Ito, A. and Arneth, A. and Harper, A. and Ukkola, A. and Paschalis, A. and Poulter, B. and Peng, C. and Ricciuto, D. and Reinthaler, D. and Chen, G. and Tian, H. and Genet, H. and Mao, J. and Ingrisch, J. and Nabel, J.E.S.M. and Pongratz, J. and Boysen, L.R. and Kautz, M. and Schmitt, M. and Meir, P. and Zhu, Q. and Hasibeder, R. and Sippel, S. and Dangal, S.R.S. and Sitch, S. and Shi, X. and Wang, Y. and Luo, Y. and Liu, Y. and Piao, S. },
    TITLE = { Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites },
    JOURNAL = { Biogeosciences },
    YEAR = { 2018 },
    VOLUME = { 15 },
    NUMBER = { 11 },
    PAGES = { 3421-3437 },
    NOTE = { cited By 0 },
    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. © 2018 Author(s). },
    AFFILIATION = { Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS, UVSQ, Gif-Sur-Yvette, France; Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, United States; Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; Institute of Ecology, University of Innsbruck, Innsbruck, Austria; Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, Belgium; Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland; Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland; National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan; Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom; ARC Centre of Excellence for Climate System Science, University of New South Wales, Kensington, NSW, Australia; Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom; NASA, Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States; Institute of Environment Sciences, Biology Science Department, University of Quebec at Montreal, Montréal, QC, Canada; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest A and F University, Yangling, China; Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States; International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, United States; Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United States; Max Planck Institute for Meteorology, Hamburg, Germany; School of Geosciences, University of Edinburgh, Edinburgh, United Kingdom; Research School of Biology, Australian National University, Canberra, ACT, Australia; Norwegian Institute of Bioeconomy Research, Ås, Norway; Woods Hole Research Center, Falmouth, MA, United States; College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom; CSIRO Oceans and Atmosphere, PMB #1, Aspendale, VIC, Australia; Center for Ecosystem Sciences and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.5194/bg-15-3421-2018 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048321816&doi=10.5194%2fbg-15-3421-2018&partnerID=40&md5=82495ad1ffc817aabcf2ce4d9c493729 },
}

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