Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)
Sun, Yan2; Goll, Daniel S.2,3; Chang, Jinfeng4; Ciais, Philippe2; Guenet, Betrand2,5; Helfenstein, Julian6; Huang, Yuanyuan2,7; Lauerwald, Ronny2,8; Maignan, Fabienne2; Naipal, Victoria1,2
刊名GEOSCIENTIFIC MODEL DEVELOPMENT
2021-04-14
卷号14期号:4页码:1987-2010
ISSN号1991-959X
DOI10.5194/gmd-14-1987-2021
通讯作者Sun, Yan(ysun@lsce.ipsl.fr) ; Goll, Daniel S.(dsgoll123@gmail.com)
英文摘要The availability of phosphorus (P) and nitrogen (N) constrains the ability of ecosystems to use resources such as light, water and carbon. In turn, nutrients impact the distribution of productivity, ecosystem carbon turnovers and their net exchange of CO2 with the atmosphere in response to variation of environmental conditions in both space and time. In this study, we evaluated the performance of the global version of the land surface model ORCHIDEE-CNP (v1.2), which explicitly simulates N and P biogeochemistry in terrestrial ecosystems coupled with carbon, water and energy transfers. We used data from remote sensing, ground-based measurement networks and ecological databases. Components of the N and P cycle at different levels of aggregation (from local to global) are in good agreement with data-driven estimates. When integrated for the period 1850 to 2017 forced with variable climate, rising CO2 and land use change, we show that ORCHIDEE-CNP underestimates the land carbon sink in the Northern Hemisphere (NH) during recent decades despite an a priori realistic gross primary either that processes other than CO2 fertilization, which are omitted in ORCHIDEE-CNP such as changes in biomass turnover, are predominant drivers of the northern land sink and/or that the model parameterizations produce emerging nutrient limitations on biomass growth that are too strict in northern areas. In line with the latter, we identified biases in the simulated large-scale patterns of leaf and soil stoichiometry as well as plant P use efficiency, pointing towards P limitations that are too severe towards the poles. Based on our analysis of ecosystem resource use efficiencies and nutrient cycling, we propose ways to address the model biases by giving priority to better representing processes of soil organic P mineralization and soil inorganic P transformation, followed by refining the biomass production efficiency under increasing atmospheric CO2, phenology dynamics and canopy light absorption.
资助项目IMBALANCE-P project of the European Research Council[ERC-2013-SyG610028]
WOS研究方向Geology
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000640571300001
资助机构IMBALANCE-P project of the European Research Council
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/161674]  
专题中国科学院地理科学与资源研究所
通讯作者Sun, Yan; Goll, Daniel S.
作者单位1.Ludwig Maximilians Univ Munchen, Dept Geog, Munich, Germany
2.Univ Paris Saclay, Lab Sci Climat & Environm IPSL, CEA CNRS UVSQ, F-91191 Gif Sur Yvette, France
3.Univ Augsburg, Dept Geog, Augsburg, Germany
4.Int Inst Appl Syst Anal IIASA, Ecosyst Serv & Management Program, Schlosspl 1, A-2361 Laxenburg, Austria
5.PSL Res Univ, Lab Geol, CNRS, Ecole Normale Super,UMR 8538, Paris, France
6.Agroscope, Agroecol & Environm, Reckenholzstr 191, CH-8046 Zurich, Switzerland
7.CSIRO Oceans & Atmosphere, Aspendale, Vic 3195, Australia
8.Univ Libre Bruxelles, Dept Geosci Environm & Soc, B-1050 Brussels, Belgium
9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Sun, Yan,Goll, Daniel S.,Chang, Jinfeng,et al. Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2021,14(4):1987-2010.
APA Sun, Yan.,Goll, Daniel S..,Chang, Jinfeng.,Ciais, Philippe.,Guenet, Betrand.,...&Zhang, Haicheng.(2021).Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986).GEOSCIENTIFIC MODEL DEVELOPMENT,14(4),1987-2010.
MLA Sun, Yan,et al."Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)".GEOSCIENTIFIC MODEL DEVELOPMENT 14.4(2021):1987-2010.
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