摘要
植被功能多样性是反映生态系统固碳能力的重要指标,估测功能多样性对于评价生态恢复成效和指导生态修复工程具有重要意义,但中低分辨率遥感数据难以实现植被功能多样性的估测。为此,本文以半干旱区某煤矿排土场为试验区域,利用无人机遥感手段获取激光雷达与高光谱影像数据,反演重建植物群落的功能多样性,并揭示不同修复模式下功能多样性的差异。研究结果表明,无人机可以快速获取高精度的植被高光谱和激光点云数据,有效估测植物群落的形态和生理性状。基于形态和生理性状,可以有效地定量描述植物群落功能多样性。生态修复初期的植被选取和配置会对演替后的植物群落功能多样性造成显著影响,乔灌混合的植物群落在演替后的植物性状和多样性水平高于纯林和草本群落。无人机遥感可以快速获取精细的群落结构和功能数据,为生态修复成效评价和植被优化提供可靠依据。
Vegetation functional diversity is an important indicator reflecting the carbon sequestration capacity of ecosystems.Estimating functional diversity is of great significance for evaluating the effectiveness of ecological restoration and guiding ecological restoration projects.However,it is difficult to estimate vegetation functional diversity with medium and low-resolution remote sensing data.To this end,this paper takes a coal mine dump in a semi-arid area as the test area,uses UAV remote sensing to obtain LiDAR and hyperspectral image data,inverts and reconstructs the functional diversity of vegetation communities,and reveals the differences of functional diversity under various restoration modes.The results show that the UAV can quickly obtain high-precision vegetation hyperspectral and laser point cloud data,and effectively estimate the morphological and physiological properties of vegetation communities.Based on morphological and physiological traits,the functional diversity of plant communities can be effectively and quantitatively described.The selection and configuration of vegetation in the initial stage of ecological restoration will have a significant impact on the functional diversity of the vegetation community after the succession.UAV remote sensing can quickly obtain fine community structure and function data,and provide a reliable basis for ecological restoration effectiveness evaluation and vegetation optimization.
作者
纪润清
唐佳佳
杨永均
张绍良
侯湖平
常晓华
JI Runqing;TANG Jiajia;YANG Yongjun;ZHANG Shaoliang;HOU Huping;CHANG Xiaohua(Jinneng Holding Coal Industry Group Shanxi Science and Technology Research Institute Co.,Ltd.,Datong 037003,China;Engineering Research Center of Ministry of Education for Mine Ecological Restoration,China University of Mining and Technology,Xuzhou 221116,China)
出处
《中国矿业》
2023年第2期43-50,共8页
China Mining Magazine
基金
国家自然科学基金资助项目资助(编号:51874307)
晋能控股集团重点科技项目资助(编号:201805022)
内蒙古自治区重大科技计划专项项目资助(编号:2020GG0008)。
关键词
生态修复
遥感
功能多样性
无人机
煤矿
ecological restoration
remote sensing
functional diversity
unmanned aerial vehicle(UAV)
coal mine
作者简介
第一作者:纪润清(1968-),男,汉族,山西怀仁人,高级工程师,主要从事采矿与生态修复方面的研究工作,E-mail:jirunqing1968@163.com;通讯作者:杨永均(1990-),男,汉族,四川仪陇人,副教授,硕士生导师,主要从事矿山生态修复方面的教学和科研工作,E-mail:yangyongjuncumt@163.com。
