The Impact of Seasonal Climate on Dryland Vegetation NPP: The Mediating Role of Phenology
文献类型: 外文期刊
作者: Liu, Xian 1 ; Li, Hengkai 1 ; Zhou, Yanbing 2 ; Yu, Yang 1 ; Wang, Xiuli 3 ;
作者机构: 1.Jiangxi Univ Sci & Technol, Sch Civil & Surveying & Mapping Engn, Ganzhou 341000, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
3.Jiangxi Univ Sci & Technol, Sch Econ & Management, Ganzhou 341000, Peoples R China
关键词: arid regions; causal mediation analysis; climate change; vegetation phenology; vegetation net primary productivity
期刊名称:SUSTAINABILITY ( 影响因子:3.3; 五年影响因子:3.6 )
ISSN:
年卷期: 2024 年 16 卷 22 期
页码:
收录情况: SCI
摘要:
Dryland ecosystems are highly sensitive to climate change, making vegetation monitoring crucial for understanding ecological dynamics in these regions. In recent years, climate change, combined with large-scale ecological restoration efforts, has led significant greening in China's arid areas. However, the mechanisms through which seasonal climate variations regulate vegetation growth are not yet fully understood. This study hypothesizes that seasonal climate change affects net primary productivity (NPP) of vegetation by influencing phenology. We focused on China's Windbreak and Sand-Fixation Ecological Function Conservation Areas (WSEFCAs) as representative regions of dryland vegetation. The Carnegie-Ames-Stanford Approach (CASA) model was used to estimate vegetation NPP from 2000 to 2020. To extract phenological information, NDVI data were processed using Savitzky-Golay (S-G) filtering and threshold methods to determine the start of season (SOS) and end of season (EOS). The structural equation model (SEM) was constructed to quantitatively assess the contributions of climate change (temperature and precipitation) and phenology to variations in vegetation NPP, identifying the pathways of influence. The results indicate that the average annual NPP in WSEFCAs increased from 55.55 gC/(m(2)
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