ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Informatics and Remote Sensing
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1668003
This article is part of the Research TopicSystematics, Diversity and Conservation of Wild Bees in Agricultural and Urban LandscapesView all articles
Study on Mapping and Assessment of Pollinator Habitats in Rural Areas, Using an Optimized Maxent Model
Provisionally accepted
- Nanjing Tech University Department of Architecture, Nanjing, China
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Pollinators are vital for rural ecosystems and agriculture, yet their diversity is declining, threatening biodiversity and ecosystem stability. This study evaluates pollinator habitats in Pukou District, Nanjing, using an optimized Maximum Entropy (Maxent) model and landscape pattern analysis to map spatial distribution and assess village-level habitat suitability. By combining field survey data with multi-source database data, we optimized Maxent parameters and applied entropy-based weighting with K-means clustering to evaluate 66 villages. Results reveal a three-tiered gradient pattern (mountain-forest core, agricultural transition, urban fringe), with 19 high-, 28 moderate-, and 19 low-suitability villages. Natural–artificial edges form synergistic hotspots, while roads support 69–71% of habitats, and settlements suppress 33–47%. High-suitability villages benefit from low patch density and high heterogeneity, unlike low-suitability villages with intensive agriculture. We propose core protection, ecological corridors, and community-based conservation, offering a framework for rural biodiversity management in urbanizing regions.
Keywords: Pollinators, MAXENT model, landscape pattern, Rural habitat, Biodiversity
Received: 17 Jul 2025; Accepted: 02 Sep 2025.
Copyright: © 2025 Yin, Qian and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jing Qian, Nanjing Tech University Department of Architecture, Nanjing, China
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