Threshold Effects of Landscape Patterns on Habitat Quality under Ecological Engineering in a Karst Plateau Region

Threshold Effects of Landscape Patterns on Habitat Quality under Ecological Engineering in a Karst Plateau Region | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 15 October 2025 V1 Latest version Share on Threshold Effects of Landscape Patterns on Habitat Quality under Ecological Engineering in a Karst Plateau Region Authors : Shui Li , Pingping Yang [email protected] , Zhongfa Zhou , and Zhongnian Ban Authors Info & Affiliations https://doi.org/10.22541/au.176051173.33506838/v1 126 views 87 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Despite substantial global investments in Ecological Engineering (EE), its long-term efficacy, especially in fragile karst regions, remains poorly quantified. Characterized by a fragile ecological foundation and acute human–land conflicts, karst areas require scientific assessment of Habitat Quality (HQ) to guide ecological restoration. However, mechanisms through which landscape pattern indices influence HQ under EE interventions remain poorly understood. This study integrated multi-source remote sensing data, the InVEST model, and quadratic regression analysis to systematically evaluate the spatiotemporal evolution and coupling characteristics of HQ under EE in a typical karst region, and to reveal its threshold effects. Results showed that human activities intensified landscape fragmentation and reduced HQ. Nature conservation engineering (NC) outperformed human intervention (HI) and land type optimization (TO) approaches. The Shannon’s Diversity Index (SHDI) was identified as a key regulator of HQ. Elevation and precipitation significantly promoted HQ, whereas temperature suppressed it. Threshold effects of landscape indices on HQ varied markedly among EE types: NC, HI, and TO required 5.89, 16.53, and 18.26 years, respectively, to reach peak effectiveness. We recommend prioritizing NC in ecologically stable zones and TO in fragile areas. Our findings propose a threshold-based framework for predicting spatiotemporal dynamics of ecological restoration outcomes, essential for optimizing strategies in human-modified landscapes. Supplementary Material File (manuscript.docx) Download 26.88 MB Information & Authors Information Version history V1 Version 1 15 October 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords driving mechanism ecological engineering habitat quality karst region landscape pattern index Authors Affiliations Shui Li Guizhou Normal University View all articles by this author Pingping Yang [email protected] Guizhou Normal University View all articles by this author Zhongfa Zhou Guizhou Normal University View all articles by this author Zhongnian Ban Guizhou Normal University View all articles by this author Metrics & Citations Metrics Article Usage 126 views 87 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Shui Li, Pingping Yang, Zhongfa Zhou, et al. Threshold Effects of Landscape Patterns on Habitat Quality under Ecological Engineering in a Karst Plateau Region. Authorea . 15 October 2025. DOI: https://doi.org/10.22541/au.176051173.33506838/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 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