摘要
南方丘陵山地带作为中国“三区四带”生态系统保护和修复重大工程分布地之一,具有世界同纬度带上面积最大、保存最完整的中亚热带森林生态系统,发挥着保障中国华南和西南地区生态安全的作用。该研究基于谷歌地球引擎平台,结合LandTrendr算法、J-M距离对研究区域扰动进行初步监测,并将随机森林应用于相关干扰输出,对1985—2022年间该区域的森林扰动进行了监测与分析。研究发现,1985—2022年森林干扰总面积为38 564.62 km^(2),其中武夷山森林(12 040.27 km^(2))>南岭山地森林(11 820.79 km^(2))>湘桂岩溶地区(8 228.97 km^(2))>南方丘陵山地带矿山(6 474.59 km^(2));研究基于得到的1985—2022年间森林损失数据集,分析了南方丘陵山地带森林干扰时空变化特征,发现南方丘陵山地带的森林干扰在空间和时间上均表现出显著的特征。空间上,森林扰动具有明显的地理集聚特征;时间上,4个生态修复工程的森林损失面积经历了多个阶段的变化,尽管关键转折点和年际变化规律相似,但由于森林资源、气候和经济条件的差异,损失面积的大小和变化趋势也存在差异。此外,林业政策的实施在一定程度上影响了森林损失的趋势。研究为南方丘陵山地带的森林生态系统管理等提供了科学依据和决策参考。
The South China hilly and mountainous belt is one of the“three regions and four belts”involved in South and Southwest China.Based on the Google Earth Engine(GEE)platform,this study conducted preliminary monitoring of disturbances in this belt using the LandTrendr algorithm and the Jeffries-Matusita(JM)distance.It further applied the random forest algorithm to relevant disturbance outputs,enabling the monitoring and analysis of forest disturbances in this belt from 1985 to 2022.The results indicate that the total forest disturbance area in this belt reached 38564.62 km^(2) during the study period.Specifically,the disturbance areas of four ecological restoration projects decreased in the following order:Wuyi Mountains forests(12040.27 km^(2)),Nanling Mountains forests(11820.79 km^(2)),Hunan and Guangxi karst areas(8228.97 km^(2)),and mining areas(6474.59 km^(2)).Based on the 38-year forest loss dataset,this study analyzed the spatiotemporal variations in forest disturbances within this belt,revealing significant spatiotemporal forest disturbances.Spatially,forest disturbances were characterized by distinct geographic clustering.Temporally,the forest loss areas under four ecological restoration projects experienced several stages of change.Despite similar critical transition points and interannual variation patterns,differences in forest resources,climate,and economic conditions led to variations in the areas and trends of forest loss.Besides,the implementation of forestry policies somewhat influenced the forest loss trend.Overall,this study provides a scientific basis and decision-making reference for the management of forest ecosystems within this belt.
作者
裴度
袁武彬
李恒凯
PEI Du;YUAN Wubin;LI Hengkai(Jiangxi University of Science and Technology,School of Civil and Surveying&Mapping Engineering,Ganzhou 341000,China;Jiangxi Provincial Natural Resources Development Center,Nanchang 330025,China)
出处
《自然资源遥感》
北大核心
2025年第6期241-250,共10页
Remote Sensing for Natural Resources
基金
江西省自然科学基金重点项目“顾及多光谱通道信息的稀土矿区典型地物高分辨率遥感识别模型”(编号:20232ACB203025)
江西省自然资源厅科技项目“基于VR/AR及实景三维的生态修复虚拟仿真研究项目”(编号:ZRKJ20232523)共同资助。
