水土保持研究2024，Vol.31Issue(3)：247-256,10.DOI:10.13869/j.cnki.rswc.2024.03.024
基于改进CASA模型的陕西省植被NPP遥感估算
Remote Sensing Estimation of Vegetation NPP in Shaanxi Province Based on Improved CASA Model
摘要
Abstract
[Objective]The aims of this study are to investigate the production status of vegetation communities in Shaanxi Province terrestrial ecosystems,to analyze the changes in spatial and temporal patterns of vegetation NPP and the factors affecting them,and to provide a reference basis for accurately assessing the carbon sources/sinks of the terrestrial ecosystems in Shaanxi Province,realizing the sustainable development of the region's ecology,and reaching the goal of carbon neutrality.[Methods]Based on the CASA(Carnegie-Ames-Stanford Approach)model water stress factor improved by the Temperature Vegetation Dryness Index(TVDI),the improved CASA model was used to estimate the vegetation NPP in Shaanxi Province from 2010 to 2020,and then the spatial distribution pattern,inter-annual change trend and driving factors were analyzed by hotspot analysis,trend analysis,and GeoDetector.[Results](1)The spatial distribution of NPP in Shaanxi Province showed the characteristics of high level in the south and low level in the north,with obvious differences in cold and hot spot areas.(2)The average value of NPP in Shaanxi Province from 2010 to 2020 ranged from 331.02 to 416.34 gC/(m2·a),with the largest proportion of average NPP values between 100 and 600 gC/(m2·a),and less than 20 percent of the lowest and highest value intervals.(3)83.3 percent of the province's area had no significant change in vegetation NPP values from 2010 to 2020,4.2 percent showed an increase,and 12.5 percent showed a decreasing trend in NPP values.(4)Precipitation was the single factor dominant driver of vegetation NPP change in Shaanxi Province,with solar radiation and land use type interacting to explain NPP change more strongly.[Conclusion]The CASA model improved by TVDI can effectively quantify the regional vegetation NPP,and there are obvious differences in the distribution of vegetation NPP between north and south in Shaanxi Province,with precipitation,land use type and solar radiation as the main influencing factors.关键词
净初级生产力/CASA模型/TVDI/陕西省Key words
net primary productivity/CASA Model/TVDI/Shaanxi Province分类
农业科技引用本文复制引用
赵雪瑞,韩玲,刘明,宋敏琪..基于改进CASA模型的陕西省植被NPP遥感估算[J].水土保持研究,2024,31(3):247-256,10.基金项目
陕西省重点研发项目(2022ZDLSF07-05) （2022ZDLSF07-05）
中央高校基本科研业务费项目(300102352901) （300102352901）
中央高校基本科研业务费资助项目(300102352203) （300102352203）
