Response of Vegetation Photosynthetic Phenology to Urbanization in Dongting Lake Basin, China

被引:10
|
作者
Li, Peng [1 ]
Sun, Mai [1 ]
Liu, Yuxin [1 ]
Ren, Peixin [1 ]
Peng, Changhui [1 ,2 ]
Zhou, Xiaolu [1 ]
Tang, Jiayi [1 ]
机构
[1] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China
[2] Univ Quebec Montreal, Dept Biol Sci, Inst Environm Sci, CP 8888,Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
vegetation phenology; carbon cycling; climate sensitivity; nighttime light; solar-induced chlorophyll fluorescence; LAND-SURFACE PHENOLOGY; SPRING PHENOLOGY; CHLOROPHYLL FLUORESCENCE; ARTIFICIAL-LIGHT; CLIMATE-CHANGE; TEMPERATURE; CARBON; DAYTIME; NIGHT;
D O I
10.3390/rs13183722
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urbanization can induce environmental changes such as the urban heat island effect, which in turn influence the terrestrial ecosystem. However, the effect of urbanization on the phenology of subtropical vegetation remains relatively unexplored. This study analyzed the changing trend of vegetation photosynthetic phenology in Dongting Lake basin, China, and its response to urbanization using nighttime light and chlorophyll fluorescence datasets. Our results indicated the start of the growing season (SOS) of vegetation in the study area was significantly advanced by 0.70 days per year, whereas the end of the growing season (EOS) was delayed by 0.24 days per year during 2000-2017. We found that urbanization promoted the SOS advance and EOS delay. With increasing urbanization intensity, the sensitivity of SOS to urbanization firstly increased then decreased, while the sensitivity of EOS to urbanization decreased with urbanization intensity. The climate sensitivity of vegetation phenology varied with urbanization intensity; urbanization induced an earlier SOS by increasing preseason minimum temperatures and a later EOS by increasing preseason precipitation. These findings improve our understanding of the vegetation phenology response to urbanization in subtropical regions and highlight the need to integrate human activities into future vegetation phenology models.
引用
收藏
页数:17
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