The start and end of the growing season in Pakistan during 1982-2015

被引:5
|
作者
Bhutto, Sarfaraz Ali [1 ,2 ]
Wang, Xiaoyue [3 ]
Wang, Jian [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Crop phenology; NDVI3g; Climate controls; Spatiotemporal patterns; Pakistan; LAND-SURFACE PHENOLOGY; CLIMATE-CHANGE; SPRING PHENOLOGY; VEGETATION PHENOLOGY; DECIDUOUS FOREST; WHEAT PRODUCTION; FOOD SECURITY; NORTH-AMERICA; CARBON UPTAKE; COVER CHANGE;
D O I
10.1007/s12665-019-8135-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Phenology plays an important role in plant productivity and ecosystem function. Long-term observations of crop phenology are being used to track crop responses to climate change. In this paper, a dataset of 34years (1982-2015) of biweekly advanced very high-resolution radiometer (AVHRR) normalized difference vegetation index, third generation (NDVI3g), measurements was used to examine the spatial and temporal patterns of crops. Phenological aspects such as the start of the season (SOS), the end of the season (EOS), and their variability were investigated using the NDVI time series for Pakistan. The quantitative effects of climate variables, namely, temperature and precipitation, were analyzed to determine the seasonal variability in crop phenology. The study indicates a large spatial and temporal variation in the different phenological characteristics of crops within the country throughout the study period. The length of the growing season coincides well with the onset and withdrawal of monsoons; a high positive correlation in the moist northern part of the study area was observed, whereas the semiarid areas in the south exhibited a small positive correlation. The temperature in the spring primarily controlled early SOS, and warmer autumn temperature delayed EOS. The results indicate that the crops were influenced by climate. Crop monitoring on a spatial scale is essential to developing outcomes and reducing exposure risks in the future.
引用
收藏
页数:10
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