2001-2023年安徽省植被NDVI时空变化特征及驱动力分析OA
Spatiotemporal Characteristics and Driving Forces of Vegetation NDVI in Anhui Province from 2001 to 2023
利用2001-2023年MODIS NDVI数据,采用线性回归、趋势分析、Hurst指数分析安徽省植被NDVI的时空分布特征和未来变化趋势,并通过地理探测器对其驱动力进行探索.结果表明:(1)2001-2023年安徽省大部分区域植被NDVI呈升高趋势,时间变化速率表现为皖中>皖南>皖北;空间分布格局表现为皖南>皖北>皖中.(2)NDVI变化以改善趋势为主导,改善趋势区域约占安徽省面积的45.15%.(3)未来安徽省NDVI的年际变化与2001-2023年NDVI的年际变化不一致,未来NDVI的变化趋势由增加趋势占主导变为减少趋势占主导.(4)2001、2005、2010、2015和2020年地理探测器因子探测结果表明,土壤类型的解释力最强,交互探测结果表明夜间灯光指数与土壤类型交互作用的解释力最强.
Using MODIS NDVI data from 2001 to 2023,this study analyzed the spatiotemporal distribution and future change trends of NDVI in Anhui Province using linear regression,trend analysis,and Hurst index analysis.The driving forces were explored using the geographical detector.The results show that:(1)From 2001 to 2023,NDVI in most areas of Anhui Province showed an increasing trend,with the temporal change rate following the pattern central>southern>northern Anhui,while the spatial distribution pattern was southern>northern>central Anhui.(2)During this period,NDVI of vegetation in Anhui Province was dominated by an improving trend,covering about 45.15%of the province.(3)The Hurst index indicated that future interannual variation in NDVI will not be consistent with the 2001-2023 interannual changes in NDVI,with the dominant trend shifting from increasing to decreasing.(4)Geographical detector results for 2001,2005,2010,2015,and 2020 show that soil type had the strongest explanatory power,and the interaction between night-time light index and soil type showed the strongest explanatory power in interaction detection.This study explores the long-term change trends driving forces of NDVI in Anhui Province,providing a reference for future ecological protection.
马海岩;孙昕;肖天贵
安徽省气象灾害防御技术中心,安徽 合肥 230031吉林省气象台,吉林 长春 130062成都信息工程大学大气科学学院,四川 成都 610225||成都信息工程大学云南自然灾害防御技术研发中心,云南 昆明 650034
农业科技
NDVI时空变化地理探测器安徽省
NDVIspatiotemporal changegeographical detectorAnhui Province
《沙漠与绿洲气象》 2026 (2)
188-196,9
第二次青藏高原综合科考项目(2019QZKK010408)中国气象局创新发展专项(CXFZ2021Z010)云南省重点研发计划项目(202203AC100005,202203AC100006)
评论