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

<p>With the acceleration of urbanization, the regional landscape pattern has undergone profound changes. This study combines green space ecology and explores the construction method of landscape ecological networks using the support of GIS data platform. After completing the extraction of landscape environmental information, it is fused and processed using principal component transformation, tasseled cap transformation, and vegetation index extraction. Different landscape pattern indices are utilized to construct a landscape analysis pathway based on the relevant data from high-precision GIS. Meanwhile, an ecological sensitivity evaluation method that includes soil erosion and rocky desertification was proposed. By comparing and analyzing the landscape pattern indices, it was concluded that the Shannon diversity index increased by 0.2927 and the Shannon evenness index increased by 0.0352, indicating that the landscape types of the study area gradually tend to be even in quantity and spatial distribution. In the evaluation of ecological sensitivity, the proportion of moderate and lower sensitivity reaches 69.28%, indicating that the ecological environment is relatively calm despite external disturbances.</p>
</abstract>

With the acceleration of urbanization, the regional landscape pattern has undergone profound changes. This study combines green space ecology and explores the construction method of landscape ecological networks using the support of GIS data platform. After completing the extraction of landscape environmental information, it is fused and processed using principal component transformation, tasseled cap transformation, and vegetation index extraction. Different landscape pattern indices are utilized to construct a landscape analysis pathway based on the relevant data from high-precision GIS. Meanwhile, an ecological sensitivity evaluation method that includes soil erosion and rocky desertification was proposed. By comparing and analyzing the landscape pattern indices, it was concluded that the Shannon diversity index increased by 0.2927 and the Shannon evenness index increased by 0.0352, indicating that the landscape types of the study area gradually tend to be even in quantity and spatial distribution. In the evaluation of ecological sensitivity, the proportion of moderate and lower sensitivity reaches 69.28%, indicating that the ecological environment is relatively calm despite external disturbances.

Landscape ecological network construction method supported by high-precision GIS data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the acceleration of urbanization, the regional landscape pattern has undergone profound changes. This study combines green space ecology and explores the...

Landscape ecological network construction method supported by high-precision GIS data

Publié en ligne: 05 juil. 2024

Pages: -

Reçu: 21 févr. 2024

Accepté: 16 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1591

Mots clés
Ecological network, GIS technology, Ecological sensitivity, Landscape pattern index

© 2024 Lulu Chen., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Landscape ecological network construction method supported by high-precision GIS data

Publié en ligne: 05 juil. 2024

Pages: -

Reçu: 21 févr. 2024

Accepté: 16 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1591

Mots clésEcological network, GIS technology, Ecological sensitivity, Landscape pattern index

© 2024 Lulu Chen., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Ecological network, GIS technology, Ecological sensitivity, Landscape pattern index