Differential effects of climatic and non-climatic factors on the distribution of vegetation phenology trends on the Tibetan plateau

被引:2
|
作者
Huang, Xianglin [1 ,2 ,5 ]
An, Ru [1 ]
Wang, Huilin [3 ]
Xing, Fei [2 ]
Wang, Benlin [4 ]
Fan, Mengyao [2 ]
Fang, Yunying [5 ]
Lu, Hongliang [2 ]
机构
[1] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210024, Peoples R China
[2] Hohai Univ, Sch Earth Sci & Engn, Nanjing 211100, Peoples R China
[3] Nanjing Univ, Dept Geog Informat Sci, Nanjing 210023, Peoples R China
[4] Chuzhou Univ, Sch Geog Informat & Tourism, Chuzhou 239000, Peoples R China
[5] Griffith Univ, Australian Rivers Inst, Brisbane, Qld 4111, Australia
基金
中国国家自然科学基金;
关键词
Phenology; Tibetan plateau; Geographical detector; Climatic factors; Non climatic factors; GREEN-UP DATES; GROWTH-RATE; SPRING PHENOLOGY; TEMPERATURE; PRECIPITATION; SENSITIVITY; GRASSLANDS; RESPONSES;
D O I
10.1016/j.heliyon.2023.e21069
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The study of vegetation phenology changes is important because it is a sensitive indicator of climate change, affecting the exchange of carbon, energy and water fluxes between the land and the atmosphere. Previous studies have focused on the effects of climatic factors among environmental factors on vegetation phenology, thus the effects of non-climatic factors among environmental factors have not been well quantified. This study endeavors to scrutinize the spatiotemporal inconsistency in the start-of-season (SOS) and the end-of-season (EOS) on the Tibetan Plateau (TP) and to quantify the effects of environmental factors on phenology. To this end, the Moderate-resolution Imaging Spectroradiomater (MODIS) Normalized Difference Vegetation Index (NDVI) data from 2001 to 2018 and four common used methods were employed to extract SOS and EOS, and the site data was used to select the most appropriate phenology results. The Geodetector model was used to assess and measure the explanatory power of different environmental factors. The research results indicate that temperature exerts a more substantial impact on phenology than precipitation on TP. non-climatic factors such as longitude, latitude, and elevation are more influential in determining the distribution of phenological trends than climatic factors. Among these non-climatic factors, latitude has the most prominent effect on the trends of SOS. Furthermore, non-climatic factors exhibit a stronger effect on SOS, whereas EOS is more susceptible to climatic factors and less influenced by non-climatic factors. These discoveries bear great significance in comprehending the intricate outcomes of regional changes on vegetation phenology and enhancing phenology models.
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页数:14
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