摘要
研究三江并流地区的森林植被时空演变及驱动因素可为筑牢我国西南生态安全屏障及促进地区社会经济发展提供数据支撑。利用地理空间分析对三江并流地区森林植被的时空演变格局进行探究,并从“自然-社会经济”2个维度构建指标体系,选取14项具体评价指标(高程、坡度和年降水量等)测度研究区各植被型面积变化的驱动力。结果如下,1)研究区主要有常绿阔叶林、落叶阔叶林和常绿针叶林3种森林植被型,其中常绿针叶林占据森林植被的84%以上;2)研究区有稳定型、突变型和波动型3种变化轨迹,其中稳定型占据80.35%的变化面积;常绿阔叶林与落叶阔叶林的冷热点在空间上的分布具有相似性,常绿针叶林的热点分布呈现出冷点包围热点的态势;3)因子探测表现出各因子对常绿阔叶林的影响大于其他2个植被型,对于常绿针叶林的解释强度较小。三江并流区森林植被的空间分布具有明显的空间异质性,高程与其他因子的交互作用对研究区森林植被影响力较单因子探测显著增强。
Studying the spatial-temporal evolution and driving factors of forest vegetation in the three parallel rivers region can provide data support for building the ecological safety barrier and promoting the social and economic development in Southwest China.The spatial-temporal evolution pattern of forest vegetation in the three parallel rivers region was explored by geospatial analysis,and the evaluation index system was constructed from the two dimensions of ‘natural-social economy'.And 14 specific evaluation indexes(elevation,slope and annual precipitation,etc.) were selected to measure the driving force of the area change of each vegetation type in the study area.The results were as follows,1) there were three types of forest vegetation in the study area:evergreen broad-leaved forest,deciduous broad-leaved forest and evergreen needle-leaved forest,among which evergreen needle-leaved forest accounted for more than 84% of the forest vegetation.2) There were three change track of stablility,mutation and fluctuation,among which the stablility type accounted for 80.35% of the changing area.The spatial distribution of “cold-hot spots” in evergreen broad-leaved forest and deciduous broad-leaved forest was similar,and the “cold-hot spots” in evergreen needle-leaved forest showed a trend of cold spots surrounding hot spots.3) The factor detection showed that the influence of each factor on evergreen broad-leaved forest was greater than others,and the explanation strength for evergreen needle-leaved forest was small.The spatial distribution of forest vegetation in the three parallel rivers region has obvious spatial heterogeneity,and the interaction effect of elevation and other factors on forest vegetation in the study area is significantly stronger than that of single factor detection.
作者
杨博文
刘凤莲
陈洪敏
YANG Bowen;LIU Fenglian;CHEN Hongmin(Institute of Land&Resources and Sustainable Development,Yunnan University of Finance and Economics,Kunming 650221,China;Yunnan Key Laboratory of Service Computing,Kunming 650221,China)
出处
《森林工程》
北大核心
2025年第1期108-125,共18页
Forest Engineering
基金
国家乡村振兴局委托项目(80026091881)
云南省教育厅科学研究基金项目(2024J0634)
云南财经大学引进人才项目(2022D13)。
关键词
森林
地理探测器
时空变化
驱动力
三江并流区
Forest
geodetectors
spatial-temporal evolution
driving force
three parallel rivers region
