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DOI10.1109/JSTARS.2024.3367734
Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China
Yao, Jiahui; Ding, Haiyong
发表日期2024
ISSN1939-1404
EISSN2151-1535
起始页码17
卷号17
英文摘要Vegetation serves as an indicator of ecological change, and phenology is an important indicator for evaluating vegetation growth and development. Analyzing the spatiotemporal characteristics of vegetation phenology and its driving factors is of great significance for analyzing the carbon, water, and energy balance of terrestrial ecosystems. To better assess the impact of external environmental changes on vegetation phenology and comprehend the changing trends of phenology, this study employed phenological parameters as response variables and incorporated meteorological and urbanization factors as explanatory variables. A generalized additive model (GAM) was constructed meticulously to investigate how vegetation phenology responds to climate change and urbanization in Beijing, as well as to predict vegetation phenology. The results showed that there were nonlinear relationships between the vegetation phenological parameters, i.e., start of season (SOS) and end of season (EOS), and external environmental changes. R(2 )of the GAM predicted SOS and EOS with respect to the observed data increased to 0.622 and 0.756, respectively. The prediction effects in each region of the urban-rural gradient zone were better with the root-mean-square error of approximately 4-7 days. This study demonstrates that the GAM considers the nonlinear relationships between vegetation phenology and external environmental factors. The validation results based on the observed data show that the models are reliable, and the findings can provide theoretical references for urban development planning and ecological environmental protection in Beijing.
英文关键词Climate change; generalized additive model (GAM); urbanization; vegetation phenology
语种英语
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001180713400014
来源期刊IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/309537
作者单位Nanjing University of Information Science & Technology
推荐引用方式
GB/T 7714
Yao, Jiahui,Ding, Haiyong. Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China[J],2024,17.
APA Yao, Jiahui,&Ding, Haiyong.(2024).Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17.
MLA Yao, Jiahui,et al."Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024).
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