Climate Change and Diurnal Warming: Impacts on the Growth of Different Vegetation Types in the North-South Transition Zone of China

被引:5
|
作者
Li, Li [1 ]
Zhu, Lianqi [2 ]
Xu, Nan [3 ]
Liang, Ying [1 ]
Zhang, Zhengyu [4 ]
Liu, Junjie [5 ]
Li, Xin [6 ]
机构
[1] Beijing Normal Univ, Sch Govt, Beijing 100875, Peoples R China
[2] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China
[3] Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Peoples R China
[4] China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China
[5] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[6] Nanyang Inst Technol, Sch Architecture, Nanyang 473004, Peoples R China
关键词
climate change; day and night temperature; vegetation NDVI; partial correlation analysis; Qinling-Daba mountains; RICE YIELDS; NDVI; GRASSLAND; MODIS; TEMPERATURE; ATTRIBUTION; MAXIMUM; TRENDS; INDEX; RESPONSES;
D O I
10.3390/land12010013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Since land use/cover change profoundly impacts climate change and global warming has become an irreversible trend in the Anthropocene, there have been numerous global studies on the impact of climate change on vegetation growth (VG). However, the effects of climate extremes on the growth and direction of various vegetation types need to be better investigated, especially in the climate transition zones. In this paper, we examined the effect of diurnal warming on the growth of various types of vegetation in China's north-south transition zone. Based on the daily observation data of 92 meteorological stations in the Qinling-Daba (Qinba) mountainous area from 1982 to 2015, coupled with the Normalized Difference Vegetation Index (NDVI) and data on the type of vegetation. This research examined the temporal changes in the highest and lowest temperatures during the last 33 years using trend analysis. Second-order correlation analysis was used to investigate vegetation NDVI response characteristics to diurnal warming and to examine the effect of diurnal warming on the growth of different vegetation types. Our results showed that maximum temperature (T-max) and minimum temperature (T-min) showed an obvious upward trend, with the daytime temperature increase rate 1.2 times that at night, but failing the t-test. In addition, diurnal warming promoted vegetation growth, with NDVI associated positively correlated with T-max at approximately 91.2% of the sites and 3492 rasters and with T-min at roughly 53.25% of the sites and 2864 rasters. Spatial significance analysis showed an apparent difference, but few areas passed the t-test. Furthermore, daytime warming enhanced the growth of grasses, shrubs, deciduous broad-leaved forests, crops, and conifers, while the effect of nighttime warming on VG had a positive effect only on the growth of evergreen broad-leaved forest vegetation. These findings reveal the mechanisms of the impact of climate extremes on VG under global change, particularly the extent to which different vegetation types in climatic transitional zones respond to climate extremes.
引用
收藏
页数:16
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