Coupling Coordination and Influencing Mechanism of Ecosystem Services Using Remote Sensing: A Case Study of Food Provision and Soil Conservation
文献类型:期刊论文
作者 | Li, Yu1,2; Zhen, Weina1,2; Shi, Donghui2; Tang, Yihang3; Xia, Bing2 |
刊名 | REMOTE SENSING
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出版日期 | 2024-12-01 |
卷号 | 16期号:23页码:4598 |
关键词 | food provision soil conservation coupling coordination degree sustainable agricultural development ecosystem service |
DOI | 10.3390/rs16234598 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | Understanding the trade-offs and synergies between ecosystem services is essential for effective ecological management. We selected food provisioning and soil conservation services to explore their intrinsic link and trade-offs. We evaluated these services in Minnesota from 1998 to 2018 using multi-source remote sensing data. The coupling coordination degree model (CCDM) was employed to quantify the relationship between these services. The CCDM evaluates the degree of coordination between systems by measuring their interactions. In addition, we used the geographically weighted regression (GWR) model to identify factors influencing this relationship. Our findings reveal that, while Minnesota's food provision services have shown a significant overall upward trajectory, distinct declines occurred in 2008 and 2018. In contrast, soil conservation services showed considerable variability from year to year, without a clear trend. Over time, the relationship between food provision and soil conservation services evolved from uncoordinated and transitional to more coordinated development. Our analysis indicates that climate-soil indicators (Z1) exert the most significant influence on the coupling coordination degree (CCD), followed by topography (Z3), vegetation quality (Z4), and socio-economic indicators (Z2). This suggests that natural environmental factors have a greater impact than socio-economic factors. Spatial analysis highlights that topography exhibits significant spatial heterogeneity and serves as the primary spatial driving factor. This study explores the trade-offs between food provision and soil conservation ecosystem services in Minnesota, enhancing the understanding of trade-offs among different ecosystem services and providing insights for global sustainable agricultural development. |
WOS关键词 | PRINCIPAL COMPONENTS REGRESSION ; SUPPLY-AND-DEMAND ; LOSS EQUATION ; EROSION ; SEDIMENT ; TEXTURE ; RUNOFF ; SYSTEM ; URBANIZATION ; AGRICULTURE |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001377621900001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/210440] ![]() |
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Hong Kong Baptist Univ, Beijing Normal Univ, United Int Coll, Zhuhai 519087, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Yu,Zhen, Weina,Shi, Donghui,et al. Coupling Coordination and Influencing Mechanism of Ecosystem Services Using Remote Sensing: A Case Study of Food Provision and Soil Conservation[J]. REMOTE SENSING,2024,16(23):4598. |
APA | Li, Yu,Zhen, Weina,Shi, Donghui,Tang, Yihang,&Xia, Bing.(2024).Coupling Coordination and Influencing Mechanism of Ecosystem Services Using Remote Sensing: A Case Study of Food Provision and Soil Conservation.REMOTE SENSING,16(23),4598. |
MLA | Li, Yu,et al."Coupling Coordination and Influencing Mechanism of Ecosystem Services Using Remote Sensing: A Case Study of Food Provision and Soil Conservation".REMOTE SENSING 16.23(2024):4598. |
入库方式: OAI收割
来源:地理科学与资源研究所
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