土地利用和植被变化的决定因素:自然资源和人类活动在时空演变中的作用

IF 1.4 4区 地球科学 Q4 ENVIRONMENTAL SCIENCES Journal of Applied Remote Sensing Pub Date : 2024-04-01 DOI:10.1117/1.jrs.18.026501
Wenqing Wu, Yunlong Zhao, Jianwen Xue, Xiangzhou Dou, Jiale Xu, Gaopeng Wu, Qiang Zhao
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引用次数: 0

摘要

分析了松花江流域(SRB)过去 20 年的土地利用时空格局,并考虑了自然地理、社会经济和人为因素的影响。通过空间分析和地理探测器建模,我们对各种指标进行了评估,以全面分析松花江流域土地利用的长时间序列变化(2001 年至 2021 年)。我们的目标是确定每个因素对土地利用变化的影响程度以及相互作用的机制。我们发现,与气候和社会经济因素相比,自然地理因素和人为因素(尤其是海拔和人口密度)对土地利用变化的影响更大。尽管综合指数显示土地利用呈积极趋势,但石羊河流域未开发的土地资源正在逐年减少。我们还发现,各种因素之间的相互作用产生了不同的影响,多种因素的叠加可能会加剧不同土地利用类型之间的冲突。这些发现为松花江流域土地资源的战略规划、政策制定和优化提供了宝贵的启示。
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Determinants of land-use and cover change: role of natural resources and human activities in spatial-temporal evolution
Spatial and temporal land-use patterns in the Songhua River Basin (SRB) over the past 20 years were analyzed; the influence of natural geographic, socioeconomic, and anthropogenic factors was considered. Using spatial analysis and geodetector modeling, we assessed various indicators to comprehensively analyze land-use changes in the SRB in a long time series (2001 to 2021). Our goal was to determine the extent to which each factor influences land-use change and the mechanisms of interaction. We found that natural geographic factors and anthropogenic factors, particularly elevation and population density, had a greater influence on land-use changes than climatic and socio-economic factors. Despite a positive trend in land use indicated by the composite index, the SRB is experiencing a decrease in undeveloped land resources annually. We also identified that interactions between factors had varying effects, with the superposition of multiple factors potentially exacerbating conflicts between different land-use types. These findings provide valuable insights for strategic planning, policy formulation, and optimization of land resources in the Songhua River Basin.
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来源期刊
Journal of Applied Remote Sensing
Journal of Applied Remote Sensing 环境科学-成像科学与照相技术
CiteScore
3.40
自引率
11.80%
发文量
194
审稿时长
3 months
期刊介绍: The Journal of Applied Remote Sensing is a peer-reviewed journal that optimizes the communication of concepts, information, and progress among the remote sensing community.
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