The Potential Influence of Seasonal Climate Variables on the Net Primary Production of Forests in Eastern China |
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Authors: | Zong Shan Li Guo Hua Liu Bo Jie Fu Jin Long Zhang |
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Institution: | (1) State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing, 100085, People’s Republic of China;(2) State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, People’s Republic of China; |
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Abstract: | Knowledge of the effects of climate factors on net primary production (NPP) is pivotal to understanding ecosystem processes
in the terrestrial carbon cycle. Our goal was to evaluate four different categories of effects (physical, climatic, NDVI,
and all effectsglobal]) as predictors of forest NPP in eastern China. We developed regression models with data from 221 NPP
in eastern China and identified the best model with each of the four categories of effects. Models explained a large part
of the variability in NPP, ranging from 46.8% in global model to 36.5% in NDVI model. In the most supported global model,
winter temperature and sunshine duration negatively affected NPP, while winter precipitation positively affected NPP. Thus,
winter climate conditions play an important role in modulating forest NPP of eastern China. Spring temperature had a positive
affect on NPP, which was likely because a favorable warm climate in the early growing season promotes forest growth. Forest
NPP was also negatively affected by summer and autumn temperatures, possibly because these are related to temperature induced
drought stress. In the NDVI model, forest NPP was affected by NDVI in spring (positive), summer (negative) and winter (negative)
seasons. Our study provides insight into seasonal effects of climate and NPP of forest in China, as well as useful knowledge
for the development of climate-vegetation models. |
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