Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites
Field measurements of aboveground net primary productivity (ANPP) in temperate grasslands suggest that both positive and negative asymmetric responses to changes in precipitation (<i>P</i>) may occur. Under normal range of precipitation variability, wet years typically result in ANPP...
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Copernicus Publications
2018-06-01
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Series: | Biogeosciences |
Online Access: | https://www.biogeosciences.net/15/3421/2018/bg-15-3421-2018.pdf |
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author | D. Wu P. Ciais N. Viovy A. K. Knapp K. Wilcox M. Bahn M. D. Smith S. Vicca S. Fatichi J. Zscheischler Y. He X. Li A. Ito A. Arneth A. Harper A. Ukkola A. Paschalis B. Poulter C. Peng C. Peng D. Ricciuto D. Reinthaler G. Chen H. Tian H. Genet J. Mao J. Ingrisch J. E. S. M. Nabel J. Pongratz L. R. Boysen M. Kautz M. Schmitt P. Meir P. Meir Q. Zhu R. Hasibeder S. Sippel S. R. S. Dangal S. R. S. Dangal S. Sitch X. Shi Y. Wang Y. Luo Y. Luo Y. Liu S. Piao |
author_facet | D. Wu P. Ciais N. Viovy A. K. Knapp K. Wilcox M. Bahn M. D. Smith S. Vicca S. Fatichi J. Zscheischler Y. He X. Li A. Ito A. Arneth A. Harper A. Ukkola A. Paschalis B. Poulter C. Peng C. Peng D. Ricciuto D. Reinthaler G. Chen H. Tian H. Genet J. Mao J. Ingrisch J. E. S. M. Nabel J. Pongratz L. R. Boysen M. Kautz M. Schmitt P. Meir P. Meir Q. Zhu R. Hasibeder S. Sippel S. R. S. Dangal S. R. S. Dangal S. Sitch X. Shi Y. Wang Y. Luo Y. Luo Y. Liu S. Piao |
author_sort | D. Wu |
collection | DOAJ |
description | Field measurements of aboveground net primary productivity (ANPP) in
temperate grasslands suggest that both positive and negative asymmetric
responses to changes in precipitation (<i>P</i>) 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. |
first_indexed | 2024-12-21T13:24:05Z |
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id | doaj.art-e541736af9c24d51a623c8f9fbb6a932 |
institution | Directory Open Access Journal |
issn | 1726-4170 1726-4189 |
language | English |
last_indexed | 2024-12-21T13:24:05Z |
publishDate | 2018-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Biogeosciences |
spelling | doaj.art-e541736af9c24d51a623c8f9fbb6a9322022-12-21T19:02:30ZengCopernicus PublicationsBiogeosciences1726-41701726-41892018-06-01153421343710.5194/bg-15-3421-2018Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sitesD. Wu0P. Ciais1N. Viovy2A. K. Knapp3K. Wilcox4M. Bahn5M. D. Smith6S. Vicca7S. Fatichi8J. Zscheischler9Y. He10X. Li11A. Ito12A. Arneth13A. Harper14A. Ukkola15A. Paschalis16B. Poulter17C. Peng18C. Peng19D. Ricciuto20D. Reinthaler21G. Chen22H. Tian23H. Genet24J. Mao25J. Ingrisch26J. E. S. M. Nabel27J. Pongratz28L. R. Boysen29M. Kautz30M. Schmitt31P. Meir32P. Meir33Q. Zhu34R. Hasibeder35S. Sippel36S. R. S. Dangal37S. R. S. Dangal38S. Sitch39X. Shi40Y. Wang41Y. Luo42Y. Luo43Y. Liu44S. Piao45Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, ChinaLaboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Gif-Sur-Yvette 91191, FranceLaboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Gif-Sur-Yvette 91191, FranceDepartment of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USADepartment of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USAInstitute of Ecology, University of Innsbruck, 6020 Innsbruck, AustriaDepartment of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USADepartment of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, BelgiumInstitute of Environmental Engineering, ETH Zurich, 8093 Zurich, SwitzerlandInstitute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, SwitzerlandSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, ChinaSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, ChinaNational Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, JapanKarlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, GermanyCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UKARC Centre of Excellence for Climate System Science, University of New South Wales, Kensington, NSW 2052, AustraliaDepartment of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ, UKNASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, USAInstitute of Environment Sciences, Biology Science Department, University of Quebec at Montreal, Montréal H3C 3P8, Québec, CanadaState Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest A&F University, Yangling 712100, ChinaEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, USAInstitute of Ecology, University of Innsbruck, 6020 Innsbruck, AustriaInternational Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USAInternational Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USAInstitute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska 99775, USAEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, USAInstitute of Ecology, University of Innsbruck, 6020 Innsbruck, AustriaMax Planck Institute for Meteorology, 20146 Hamburg, GermanyMax Planck Institute for Meteorology, 20146 Hamburg, GermanyMax Planck Institute for Meteorology, 20146 Hamburg, GermanyKarlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, GermanyInstitute of Ecology, University of Innsbruck, 6020 Innsbruck, AustriaSchool of Geosciences, University of Edinburgh, Edinburgh EH9 3FF, UKResearch School of Biology, Australian National University, Canberra, ACT 2601, AustraliaState Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest A&F University, Yangling 712100, ChinaInstitute of Ecology, University of Innsbruck, 6020 Innsbruck, AustriaNorwegian Institute of Bioeconomy Research, 1431 Ås, NorwayInternational Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USAWoods Hole Research Center, Falmouth, Massachusetts 02540-1644, USACollege of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UKEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, USACSIRO Oceans and Atmosphere, PMB #1, Aspendale, Victoria 3195, AustraliaDepartment of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USACenter for Ecosystem Sciences and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USASino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, ChinaSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, ChinaField measurements of aboveground net primary productivity (ANPP) in temperate grasslands suggest that both positive and negative asymmetric responses to changes in precipitation (<i>P</i>) 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.https://www.biogeosciences.net/15/3421/2018/bg-15-3421-2018.pdf |
spellingShingle | D. Wu P. Ciais N. Viovy A. K. Knapp K. Wilcox M. Bahn M. D. Smith S. Vicca S. Fatichi J. Zscheischler Y. He X. Li A. Ito A. Arneth A. Harper A. Ukkola A. Paschalis B. Poulter C. Peng C. Peng D. Ricciuto D. Reinthaler G. Chen H. Tian H. Genet J. Mao J. Ingrisch J. E. S. M. Nabel J. Pongratz L. R. Boysen M. Kautz M. Schmitt P. Meir P. Meir Q. Zhu R. Hasibeder S. Sippel S. R. S. Dangal S. R. S. Dangal S. Sitch X. Shi Y. Wang Y. Luo Y. Luo Y. Liu S. Piao Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites Biogeosciences |
title | Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites |
title_full | Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites |
title_fullStr | Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites |
title_full_unstemmed | Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites |
title_short | Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites |
title_sort | asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long term grassland sites |
url | https://www.biogeosciences.net/15/3421/2018/bg-15-3421-2018.pdf |
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