Temporal Trends and Spatial Variability of Vegetation Phenology over the Northern Hemisphere during 1982-2012.
Satellite-derived vegetation phenology has been recognized as a key indicator for detecting changes in the terrestrial biosphere in response to global climate change. However, multi-decadal changes and spatial variation of vegetation phenology over the Northern Hemisphere and their relationship to climate change have not yet been fully investigated. In this article, we investigated the spatial variability and temporal trends of vegetation phenology over the Northern Hemisphere by calibrating and analyzing time series of the satellite-derived normalized difference vegetation index (NDVI) during 1982-2012, and then further examine how vegetation phenology responds to climate change within different ecological zones. We found that during the period from 1982 to 2012 most of the high latitude areas experienced an increase in growing period largely due to an earlier beginning of vegetation growing season (BGS), but there was no significant trend in the vegetation growing peaks. The spatial pattern of phenology within different eco-zones also experienced a large variation over the past three decades. Comparing the periods of 1982-1992, 1992-2002 with 2002-2012, the spatial pattern of change rate of phenology shift (RPS) shows a more significant trend in advancing of BGS, delaying of EGS (end of growing season) and prolonging of LGS (length of growing season) during 2002-2012, overall shows a trend of accelerating change. Temperature is a major determinant of phenological shifts, and the response of vegetation phenology to temperature varied across different eco-zones.
Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China.
Siyuan
S
Wang
Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China.
Bojuan
B
Yang
Ecosystem Dynamics and Global Ecology Laboratory, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America.
Qichun
Q
Yang
Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China.
Linlin
L
Lu
Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China.
Xiaoyue
X
Wang
Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China.
Yaoyao
Y
Peng
D057231:Climate Change; D008954:Models, Biological; D010944:Plants; D012621:Seasons; D018531:Spacecraft