A probabilistic assessment of the likelihood of vegetation drought under varying climate conditions across China.
Ontology highlight
ABSTRACT: Climate change significantly impacts the vegetation growth and terrestrial ecosystems. Using satellite remote sensing observations, here we focus on investigating vegetation dynamics and the likelihood of vegetation-related drought under varying climate conditions across China. We first compare temporal trends of Normalized Difference Vegetation Index (NDVI) and climatic variables over China. We find that in fact there is no significant change in vegetation over the cold regions where warming is significant. Then, we propose a joint probability model to estimate the likelihood of vegetation-related drought conditioned on different precipitation/temperature scenarios in growing season across China. To the best of our knowledge, this study is the first to examine the vegetation-related droug
SUBMITTER: Liu Z
PROVIDER: S-EPMC5054395 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA