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DOI10.1111/gcb.14274
Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data-model comparison
Hu, Zhongmin; Shi, Hao; Cheng, Kaili; Wang, Ying-Ping; Piao, Shilong; Li, Yue; Zhang, Li; Xia, Jianyang; Zhou, Lei; Yuan, Wenping; Running, Steve; Li, Longhui; Hao, Yanbin; He, Nianpeng; Yu, Qiang; Yu, Guirui
通讯作者Hu, ZM (通讯作者)
发表日期2018
ISSN1354-1013
EISSN1365-2486
起始页码2965
结束页码2979
卷号24期号:7
英文摘要Given the important contributions of semiarid region to global land carbon cycle, accurate modeling of the interannual variability (IAV) of terrestrial gross primary productivity (GPP) is important but remains challenging. By decomposing GPP into leaf area index (LAI) and photosynthesis per leaf area (i.e., GPP_leaf), we investigated the IAV of GPP and the mechanisms responsible in a temperate grassland of northwestern China. We further assessed six ecosystem models for their capabilities in reproducing the observed IAV of GPP in a temperate grassland from 2004 to 2011 in China. We observed that the responses to LAI and GPP_leaf to soil water significantly contributed to IAV of GPP at the grassland ecosystem. Two of six models with prescribed LAI simulated of the observed IAV of GPP quite well, but still underestimated the variance of GPP_leaf, therefore the variance of GPP. In comparison, simulated pattern by the other four models with prognostic LAI differed significantly from the observed IAV of GPP. Only some models with prognostic LAI can capture the observed sharp decline of GPP in drought years. Further analysis indicated that accurately representing the responses of GPP_leaf and leaf stomatal conductance to soil moisture are critical for the models to reproduce the observed IAV of GPP_leaf. Our framework also identified that the contributions of LAI and GPP_leaf to the observed IAV of GPP were relatively independent. We conclude that our framework of decomposing GPP into LAI and GPP_leaf has a significant potential for facilitating future model intercomparison, benchmarking and optimization should be adopted for future data-model comparisons.
关键词LAND-SURFACE MODELSGROSS PRIMARY PRODUCTIVITYWATER-USE EFFICIENCYSTOMATAL CONDUCTANCELEAF-AREAPHOTOSYNTHESIS MODELCLIMATE VARIABILITYCYCLE MODELSCARBONCO2
英文关键词data-model comparison; ecosystem models; grassland; gross primary productivity; interannual variability
语种英语
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS记录号WOS:000437281500020
来源期刊GLOBAL CHANGE BIOLOGY
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/259386
推荐引用方式
GB/T 7714
Hu, Zhongmin,Shi, Hao,Cheng, Kaili,et al. Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data-model comparison[J]. 中国科学院青藏高原研究所,2018,24(7).
APA Hu, Zhongmin.,Shi, Hao.,Cheng, Kaili.,Wang, Ying-Ping.,Piao, Shilong.,...&Yu, Guirui.(2018).Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data-model comparison.GLOBAL CHANGE BIOLOGY,24(7).
MLA Hu, Zhongmin,et al."Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data-model comparison".GLOBAL CHANGE BIOLOGY 24.7(2018).
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