标题: Species habitat modeling based on image semantic segmentation
作者: Lingjun Wang (汪凌君 硕士生); Haofeng Tan; Peng Luo; Liqiu Meng; Teng Fei (费腾 *)
来源出版物: Scientific Reports 卷: 15 期: 1 页: 33936 DOI: 10.1038/s41598-025-09035-6 Published Date: 2025-09-30
摘要: Habitat monitoring has emerged as a crucial practice for preserving ecological environments and ensuring species reproduction. Traditional habitat modeling often relies on the “lasagna model”—a McHarg-style approach that focuses on the ecological niche formed by the combined effect of multiple geographical factors at a single location. This model, however, overlooks the influence of the broader surrounding environment on habitat suitability. In this study, we propose a habitat modeling framework that integrates surrounding environmental conditions by employing kernel density analysis and a semantic segmentation method. The results demonstrate that kernel density analysis is effective in expanding the presence-only data into presence-absence data for habitat modeling. The semantic segmentation method, Segformer, outperforms the traditional MaxEnt in mapping the habitat of the Sandpiper family in Taiwan, achieving a higher Area Under the Curve (AUC) score (0.76 vs. 0.69). Another case study of the Swallow family indicates the limitations of the proposed method. This study highlights the potential of applying deep learning methods to habitat modeling, contributing to more comprehensive biodiversity assessments and conservation planning.
作者关键词: Ecology; Environmental sciences
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地址: [Lingjun Wang, Teng Fei] School of Resource and Environmental Sciences, Wuhan University, No.129, Luoyu Road, Wuhan 430079, Hubei, China
[Lingjun Wang] School of Engineering and Design, Technical University of Munich, 80333 Munich, Germany
[Haofeng Tan] Department of Geography, University of South Carolina, Columbia 29208, USA
[Peng Luo, Liqiu Meng] Chair of Cartography and Visual Analytics, Technical University of Munich, 80333 Munich, Germany
[Peng Luo] Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK
[Teng Fei] School of Forestry, University of Canterbury, Christchurch 8140, New Zealand
通讯作者地址: Teng Fei(通讯作者) School of Resource and Environmental Sciences, Wuhan University, No.129, Luoyu Road, Wuhan 430079, Hubei, China
Teng Fei(通讯作者) School of Forestry, University of Canterbury, Christchurch 8140, New Zealand
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