globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13660
论文题名:
Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests
作者: Thurner M.; Beer C.; Ciais P.; Friend A.D.; Ito A.; Kleidon A.; Lomas M.R.; Quegan S.; Rademacher T.T.; Schaphoff S.; Tum M.; Wiltshire A.; Carvalhais N.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2017
卷: 23, 期:8
起始页码: 3076
结束页码: 3091
语种: 英语
英文关键词: boreal and temperate forest ; climate-related spatial gradients ; drought stress and insect outbreaks ; forest mortality ; frost stress ; global vegetation model evaluation ; ISI-MIP ; remote sensing based NPP and biomass ; vegetation carbon turnover rate
Scopus关键词: Hexapoda
英文摘要: Turnover concepts in state-of-the-art global vegetation models (GVMs) account for various processes, but are often highly simplified and may not include an adequate representation of the dominant processes that shape vegetation carbon turnover rates in real forest ecosystems at a large spatial scale. Here, we evaluate vegetation carbon turnover processes in GVMs participating in the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP, including HYBRID4, JeDi, JULES, LPJml, ORCHIDEE, SDGVM, and VISIT) using estimates of vegetation carbon turnover rate (k) derived from a combination of remote sensing based products of biomass and net primary production (NPP). We find that current model limitations lead to considerable biases in the simulated biomass and in k (severe underestimations by all models except JeDi and VISIT compared to observation-based average k), likely contributing to underestimation of positive feedbacks of the northern forest carbon balance to climate change caused by changes in forest mortality. A need for improved turnover concepts related to frost damage, drought, and insect outbreaks to better reproduce observation-based spatial patterns in k is identified. As direct frost damage effects on mortality are usually not accounted for in these GVMs, simulated relationships between k and winter length in boreal forests are not consistent between different regions and strongly biased compared to the observation-based relationships. Some models show a response of k to drought in temperate forests as a result of impacts of water availability on NPP, growth efficiency or carbon balance dependent mortality as well as soil or litter moisture effects on leaf turnover or fire. However, further direct drought effects such as carbon starvation (only in HYBRID4) or hydraulic failure are usually not taken into account by the investigated GVMs. While they are considered dominant large-scale mortality agents, mortality mechanisms related to insects and pathogens are not explicitly treated in these models. © 2017 The Authors. Global Change Biology Published by John Wiley & Sons Ltd.
资助项目: We are very grateful to Christiane Schmullius (Friedrich Schiller University Jena) for discussions and ideas contributing to this work. The model simulations were performed in the context of the ISI-MIP project, which was supported by the German Federal Ministry of Education and Research (BMBF). The MODIS NPP product (MOD17) provided by the Numerical Terradynamic Simulation Group of the University of Montana was of great use as one of the observation-based products of NPP. Martin Thurner acknowledges funding from the Vetenskapsrådet grant 621-2014-4266 of the Swedish Research Council. Nuno Carvalhais acknowledges funding from NOVA grant UID/AMB/04085/2013 and the GlobBiomass Project (ESA Contract No. 4000113100/14/I-NB). Andy Wiltshire was supported by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60859
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Environmental Science and Analytical Chemistry (ACES), Stockholm University, Stockholm, Sweden; Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden; Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette, France; Department of Geography, University of Cambridge, Cambridge, United Kingdom; National Institute for Environmental Studies, Tsukuba, Japan; Max Planck Institute for Biogeochemistry, Jena, Germany; School of Mathematics and Statistics, University of Sheffield, Sheffield, United Kingdom; Potsdam Institute for Climate Impact Research, Potsdam, Germany; German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Wessling, Germany; Met Office Hadley Centre, Exeter, United Kingdom; CENSE, Departamento de Ciências e Engenharia do Ambiente, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal

Recommended Citation:
Thurner M.,Beer C.,Ciais P.,et al. Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests[J]. Global Change Biology,2017-01-01,23(8)
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