首页|Considering time-lag effects can improve the accuracy of NPP simulation using a light use efficiency model
Considering time-lag effects can improve the accuracy of NPP simulation using a light use efficiency model
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Most terrestrial models synchronously calculate net primary productivity(NPP)using the input climate variable,without the consideration of time-lag effects,which may in-crease the uncertainty of NPP simulation.Based on Normalized Difference Vegetation Index(NDVI)and climate data,we used the time lag cross-correlation method to investigate the time-lag effects of temperature,precipitation,and solar radiation in different seasons on NDVI values.Then,we selected the Carnegie-Ames-Stanford approach(CASA)model to estimate the NPP of China from 2002 to 2017.The results showed that the response of vegetation growth to climate factors had an obvious lag effect,with the longest time lag in solar radiation and the shortest time lag in temperature.The time lag of vegetation to the climate variable showed great tempo-spatial heterogeneities among vegetation types,climate types,and vegetation growth periods.Based on the validation using eddy covariance data,the results showed that the simulation accuracy of the CASA model considering the time-lag effects was effectively improved.By considering the time-lag effects,the average total amount of NPP modeled by CASA during 2001-2017 in China was 3.977 PgC a-1,which is 11.37％higher than that of the original model.This study highlights the importance of considering the time lag for the simulation of vegetation growth,and provides a useful tool for the improvement of the vegetation productivity model.
net primary productivity(NPP)time-lag effectsCASA modelclimate change
LI Chuanhua、LIU Yunfan、ZHU Tongbin、ZHOU Min、DOU Tianbao、LIU Lihui、WU Xiaodong
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College of Geography and Environmental Science,Northwest Normal University,Key Laboratory of Re-source Environment and Sustainable Development of Oasis,Lanzhou 730070,China
Cryosphere Research Station on the Qinghai-Tibet Plateau,State Key Laboratory of Cryospheric Science,Northwest Institute of Eco-Environment and Resources,CAS,Lanzhou 730000,China
National Natural Science Foundation of ChinaState Key Laboratory of Cryospheric ScienceWest Light Foundation of the Chinese Academy of Sciences
NETL
NSTL
万方数据
维普
