<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As the countryside continues to expand and develop, ecological issues are becoming increasingly complex and critical. The creation of environmental networks plays a vital role in ensuring ecological protection and promoting sustainable development in these areas. This study selects the Putian countryside as the focal area for research, utilizing remote sensing technology to collect pertinent data. By integrating geospatial analysis methods, we constructed a landscape ecological network. The methodology involved several key steps: employing a landscape index to delineate the spatial pattern of the rural landscape, evaluating the service function value of the established ecological network, and applying the Minimum Cumulative Resistance (MCR) model to formulate the security pattern of the network. This approach underscores the importance of structured ecological planning in rural development initiatives. The analysis found that among the four types of rural green landscapes in the study area, the regional green space occupies a dominant position, with an LSI value of 116.1734, mainly large patches with uneven spatial distribution, and based on the Putian Rural Minimum Cumulative Resistance Surface Model = 0.41*Land Use + 0.33*Slope + 0.26*Distance from Water Bodies, the Putian Rural Landscape Ecological Network with a nucleus, a belt, five axes, and multiple points has been formed. The research in this paper provides a reference basis for the development of the Putian countryside and helps revitalize the Putian countryside.</p>
</abstract>

As the countryside continues to expand and develop, ecological issues are becoming increasingly complex and critical. The creation of environmental networks plays a vital role in ensuring ecological protection and promoting sustainable development in these areas. This study selects the Putian countryside as the focal area for research, utilizing remote sensing technology to collect pertinent data. By integrating geospatial analysis methods, we constructed a landscape ecological network. The methodology involved several key steps: employing a landscape index to delineate the spatial pattern of the rural landscape, evaluating the service function value of the established ecological network, and applying the Minimum Cumulative Resistance (MCR) model to formulate the security pattern of the network. This approach underscores the importance of structured ecological planning in rural development initiatives. The analysis found that among the four types of rural green landscapes in the study area, the regional green space occupies a dominant position, with an LSI value of 116.1734, mainly large patches with uneven spatial distribution, and based on the Putian Rural Minimum Cumulative Resistance Surface Model = 0.41*Land Use + 0.33*Slope + 0.26*Distance from Water Bodies, the Putian Rural Landscape Ecological Network with a nucleus, a belt, five axes, and multiple points has been formed. The research in this paper provides a reference basis for the development of the Putian countryside and helps revitalize the Putian countryside.

Ecological Network Construction of Putian Rural Landscape Based on Geospatial Analysis

College of Landscape Architecture and Art, Fujian Agricultural and Forestry University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

As the countryside continues to expand and develop, ecological issues are becoming increasingly complex and critical. The creation of environmental networks...

Ecological Network Construction of Putian Rural Landscape Based on Geospatial Analysis

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 19. Feb. 2024

Akzeptiert: 25. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1365

Schlüsselwörter
Landscape index, Remote sensing technology, MCR model, Ecological network construction

© 2024 Xiaoxue Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Ecological Network Construction of Putian Rural Landscape Based on Geospatial Analysis

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 19. Feb. 2024

Akzeptiert: 25. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1365

SchlüsselwörterLandscape index, Remote sensing technology, MCR model, Ecological network construction

© 2024 Xiaoxue Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Landscape index, Remote sensing technology, MCR model, Ecological network construction