spatio-temporal changes in vegetation activity and its driving factors during the growing season in china from 1982 to 2011
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2015
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Abstract
Using National Oceanographic and Atmospheric Administration/Advanced Very High Resolution Radiometer (NOAA/AVHRR) and Climatic Research Unit (CRU) climate datasets, we analyzed interannual trends in the growing-season Normalized Difference Vegetation Index (NDVI) in China from 1982 to 2011, as well as the effects of climatic variables and human activities on vegetation variation. Growing-season (period between the onset and end of plant growth) NDVI significantly increased (p < 0.01) on a national scale and showed positive trends in 52.76% of the study area. A multiple regression model was used to investigate the response of vegetation to climatic factors during recent and previous time intervals. The interactions between growing-season NDVI and climatic variables were more complex than expected, and a lag existed between climatic factors and their effects on NDVI. The regression residuals were used to show that over 6% of the study area experienced significantly human-induced vegetation variations (p < 0.05). These regions were mostly located in densely populated, reclaimed agriculture, afforestation, and conservation areas. Similar conclusions were drawn based on land-use change over the study period.
| Reference Key |
qu2015remotespatio-temporal
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|---|---|
| Authors | ;Bo Qu;Wenbin Zhu;Shaofeng Jia;Aifeng Lv |
| Journal | Journal of pharmacological sciences |
| Year | 2015 |
| DOI |
10.3390/rs71013729
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| URL | |
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