Analyzing Spatial-Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing
文献类型：期刊论文
| 作者 | Li, Yu1,3; Zhen, Weina1,3; Luo, Bibo2; Shi, Donghui3; Li, Zehong3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 16期号:12页码:2113 |
| 关键词 | comprehensive urban expansion landscape pattern remote sensing spatial analysis quantitative simulation |
| DOI | 10.3390/rs16122113 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The phenomena of global climate change and comprehensive urban expansion have precipitated significant and unprecedented transformations in landscape patterns. To enhance the assessment of these spatio-temporal changes and their driving forces at a regional level, we developed a comprehensive landscape index (CLI) to quantify these patterns and conducted a detailed analysis of the spatio-temporal variations in Minnesota over the last two decades. Our analysis of the CLI was conducted by examining both its quantitative relationships and spatial distribution patterns. The findings indicate a consistent increase in Minnesota's CLI over this period, marked by an escalation in landscape fragmentation and diversity, alongside a decline in landscape connectivity. Temporally, the CLI experienced a notable shift in 2010. Spatially, the clustering characteristics of landscape patterns have largely remained stable. Our analysis reveals that the CLI is most sensitive to total population (POP) and gross domestic product (GDP) factors, underscoring the significant impact of human activity on landscape patterns. Notably, the explanatory capacity of interactions between factors is substantially greater than that of individual factors, with the GDP and vegetation structure (VS) interaction demonstrating the greatest influence on the spatial distribution of landscape patterns. This highlights the critical role of the interplay between human socio-economic activity and vegetation coverage in shaping landscape configurations. |
| WOS关键词 | PRINCIPAL COMPONENTS REGRESSION ; LAND-USE CHANGE ; PATTERNS ; URBANIZATION ; GROWTH ; DRIVERS ; REGION ; CHINA ; AREA ; CITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001255955200001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206129]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Shi, Donghui |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Xinjiang Uygur Autonomous Reg Terr Planning Res Ct, Urumqi, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yu,Zhen, Weina,Luo, Bibo,et al. Analyzing Spatial-Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing[J]. REMOTE SENSING,2024,16(12):2113. |
| APA | Li, Yu,Zhen, Weina,Luo, Bibo,Shi, Donghui,&Li, Zehong.(2024).Analyzing Spatial-Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing.REMOTE SENSING,16(12),2113. |
| MLA | Li, Yu,et al."Analyzing Spatial-Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing".REMOTE SENSING 16.12(2024):2113. |
入库方式： OAI收割
来源：地理科学与资源研究所
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