Details

Autor(en) / Beteiligte

• Du, Jiaqiang
• Gao, Yun
• Jiaerheng, Ahati
• Zhao, Chenxi
• Fang, Guangling
• Yuan, Xinjie
• Yin, Junqi
• Shu, Jianmin

Titel

Spatio-temporal patterns and driving factors of vegetation growth anomalies in Xinjiang over the last three decades

Ist Teil von

• Sheng tai xue bao, 2016-01, Vol.36 (7), p.1915-1927

Erscheinungsjahr

2016

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• As one of the main components of terrestrial ecosystems,vegetation plays a key role in landscape structures and ecological services. Monitoring vegetation dynamics and their responses to climate change is beneficial to understanding ecological processes and designing adaptive management strategies. The GIMMS NDVI dataset from 1982 to 2006 is available for long-term NDVI trend analysis,and is widely used at global,regional,and local scales. Comparisons betweenthe GIMMS NDVI dataset and new products retrieved from new sensors should be conducted to link existing studies with future applications of other NDVI products in monitoring vegetation activity change. The MODIS NDVI dataset is referred to as the successor and improvement to the GIMMS NDVI time series. Based on a data consistency test,the time sequences of the GIMMS NDVI dataset were extended to 2012 with the MODIS NDVI dataset( 2000-2012). Then,we analyzed the trends of the NDVI anomalies and climatic factors( temperature,precipitation,reference crop eva