应用生态学报2024，Vol.35Issue(6)：1518-1524,7.DOI:10.13287/j.1001-9332.202406.027
黑龙江流域植被覆盖度时空动态及其对气候变化的响应
Temporal and spatial variations of vegetation coverage in Heilongjiang Basin and its responses to climate change
摘要
Abstract
Exploring the temporal and spatial dynamics of vegetation coverage in the Heilongjiang Basin and its response to climate change can provide a theoretical basis and data support for integrated basin management for three countries(Mongolia,China and Russia)in the region.We used MOD13Q1 remote sensing data from Google Earth Engine(GEE)platform between 2000 and 2020 to process the normalized vegetation index(NDVI)through the maximum value composites method,and calculated the vegetation coverage(FVC)using the dimidiate pixel model.The Sen+MK trend analysis method was employed to monitor the dynamics of FVC,while the Pearson correlation coefficient was utilized to quantify the responses of FVC to climate change.The results showed that the overall FVC in the Heilongjiang Basin exhibited a slight decreasing trend during 2000-2020,with an annual rate of 0.1％.The FVC in Mongolia showed a fluctuating increase trend(0.13％),while slight decrease trends were observed for Rus-sia(0.15％)and China(0.08％).The FVC predominantly slightly degraded and severely degraded,accounting for 34％and 17％of the area,respectively,while the significantly improved area only accounted for 9％.The impact of precipitation on FVC in the study area was significantly greater than that of temperature.The proportion of areas where precipitation and temperature had a significant impact on FVC was 8.2％and 2.2％,respectively.The corre-lation coefficient between precipitation and FVC was the highest in Mongolia(r=0.446,P＜0.05),and the lowest in Russian region(r=-0.442,P＜0.05).关键词
植被覆盖度/MODIS/归一化植被指数/像元二分模型/相关性分析Key words
vegetation cover/MODIS/normalized difference vegetation index/pixel dichotomous model/correla-tion analysis引用本文复制引用
胡蓉,董灵波..黑龙江流域植被覆盖度时空动态及其对气候变化的响应[J].应用生态学报,2024,35(6):1518-1524,7.基金项目
本文由"十四五"国家重点研发计划项目(2023YFF1304002)资助. （2023YFF1304002）
