地理空间信息2025，Vol.23Issue(9)：6-9,47,5.DOI:10.3969/j.issn.1672-4623.2025.09.002
矿山生态修复区植被净初级生产力变化监测
Net Primary Productivity Change Monitoring of Vegetation in Mining Ecological Restoration Areas
摘要
Abstract
To quantitatively evaluate the outcomes of ecological restoration at mines,taking the high-resolution remote sensing imagers and land-use change survey data as primary data sources,we used the refined CASA model to monitor the changes of net primary productivity(NPP)in a designated ecological restoration zone of a mine in Dingxi City,Gansu Province.Results indicate that a significant rise in the NPP values within the zone from 2017 to 2023,suggesting that the restoration efforts have somewhat facilitated vegetation recovery.Nonetheless,a substantial disparity remains between the NPP values within the restoration zone and those of the natural vegetation outside it,underscoring the need to reinforce both the ecological restoration at mines and the preservation of vegetation in the revitalized areas.The findings confirm that NPP data derived from high-precision data can accurately capture the spatial changes of vegetation conditions within small regions,like ecological restoration zones of mines,thus furnishing vital insights for the effectiveness evaluation of ecological restoration measures at mines and formulating new strategies.关键词
高精度数据/矿山/生态修复/植被NPPKey words
high-precision data/mine/ecological restoration/NPP of vegetation分类
天文与地球科学引用本文复制引用
胡晓娟,李霞,王亚兰..矿山生态修复区植被净初级生产力变化监测[J].地理空间信息,2025,23(9):6-9,47,5.基金项目
甘肃省自然资源厅重点攻关资助项目(202204). （202204）
