Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem

Rice terrace ecosystems (RTEs) offer a wealth of ecosystem services vital to human well-being. Regrettably, the recent period has witnessed a growing trend of abandonment and habitat degradation within RTEs. This study focuses on the Longji Terraces in Guilin, China, using remote sensing data from 1...

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Main Author: Cao Hongli
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/03/e3sconf_isgst2024_04012.pdf
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author Cao Hongli
author_facet Cao Hongli
author_sort Cao Hongli
collection DOAJ
description Rice terrace ecosystems (RTEs) offer a wealth of ecosystem services vital to human well-being. Regrettably, the recent period has witnessed a growing trend of abandonment and habitat degradation within RTEs. This study focuses on the Longji Terraces in Guilin, China, using remote sensing data from 1985–2020 to assess habitat quality (HQ) and its spatial-temporal dynamics. Furthermore, the driving factors of HQ is explored through ordinary least squares (OLS) and geographically weighted regression (GWR) models. The research reveals that forested areas are crucial for HQ, with an overall high average HQ, but significant degradation in certain areas. The growth of the tourism industry and the arrangement of the landscape are recognized as the key drivers of RTE-HQ (average annual R2 = 0.75). The findings provide a scientific basis for the conservation and sustainable use of global rice terraces.
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spelling doaj-art-a34e52c9ad0341cbbbe533aa2e4d1c5e2025-02-05T10:47:34ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016030401210.1051/e3sconf/202560304012e3sconf_isgst2024_04012Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystemCao Hongli0Guilin University of Technology, College of Environmental Science and EngineeringRice terrace ecosystems (RTEs) offer a wealth of ecosystem services vital to human well-being. Regrettably, the recent period has witnessed a growing trend of abandonment and habitat degradation within RTEs. This study focuses on the Longji Terraces in Guilin, China, using remote sensing data from 1985–2020 to assess habitat quality (HQ) and its spatial-temporal dynamics. Furthermore, the driving factors of HQ is explored through ordinary least squares (OLS) and geographically weighted regression (GWR) models. The research reveals that forested areas are crucial for HQ, with an overall high average HQ, but significant degradation in certain areas. The growth of the tourism industry and the arrangement of the landscape are recognized as the key drivers of RTE-HQ (average annual R2 = 0.75). The findings provide a scientific basis for the conservation and sustainable use of global rice terraces.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/03/e3sconf_isgst2024_04012.pdf
spellingShingle Cao Hongli
Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem
E3S Web of Conferences
title Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem
title_full Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem
title_fullStr Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem
title_full_unstemmed Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem
title_short Spatial temporal dynamics and influential factors of habitat quality in China's Southern Longji rice terrace ecosystem
title_sort spatial temporal dynamics and influential factors of habitat quality in china s southern longji rice terrace ecosystem
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/03/e3sconf_isgst2024_04012.pdf
work_keys_str_mv AT caohongli spatialtemporaldynamicsandinfluentialfactorsofhabitatqualityinchinassouthernlongjiriceterraceecosystem