Measures to improve the accuracy of species distribution models for effective conservation of endangered species

Accurate identification of ecologically sensitive areas, particularly those harboring endangered species, is essential for ensuring that development projects proceed without causing irreversible biodiversity loss. Species distribution models (SDMs) are pivotal tools in addressing this issue, yet they are constrained by challenges such as the overestimation or underestimation of potential habitats and inadequate representation of species-specific ecological traits, especially for endangered species. To address these limitations, this study refines the SDMs for the endangered species Mankyua chejuense by employing a novel approach that incorporates weighted occurrence data and optimized pseudo-absence point selection. These advancements not only mitigate the intrinsic biases of SDMs in habitat estimation but also provide a more nuanced reflection of the species’ ecological characteristics. This improved modeling framework holds substantial implications for developing more effective national and regional biodiversity conservation strategies, and supports the broader application of this refined approach to other species in the future.

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Publication Details

Journal
Global Ecology and Conservation
Published
2026-01-08
DOI
https://doi.org/10.1016/j.gecco.2026.e04061
Primary Topic
Species Distribution and Climate Change
Type
article
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article

Measures to improve the accuracy of species distribution models for effective conservation of endangered species

Jiyeon Lee, Hye In Chung, S. J. Lee, Jinhoo Hwang et al.
Global Ecology and Conservation
Species Distribution and Climate Change
article

Measures to improve the accuracy of species distribution models for effective conservation of endangered species

Jiyeon Lee, Hye In Chung, S. J. Lee, Jinhoo Hwang, Youngjae Yoo, Hong-Shik Oh, Yoonji Kim, Hyeon Kwon Ahn
article en

Abstract

Accurate identification of ecologically sensitive areas, particularly those harboring endangered species, is essential for ensuring that development projects proceed without causing irreversible biodiversity loss. Species distribution models (SDMs) are pivotal tools in addressing this issue, yet they are constrained by challenges such as the overestimation or underestimation of potential habitats and inadequate representation of species-specific ecological traits, especially for endangered species. To address these limitations, this study refines the SDMs for the endangered species Mankyua chejuense by employing a novel approach that incorporates weighted occurrence data and optimized pseudo-absence point selection. These advancements not only mitigate the intrinsic biases of SDMs in habitat estimation but also provide a more nuanced reflection of the species’ ecological characteristics. This improved modeling framework holds substantial implications for developing more effective national and regional biodiversity conservation strategies, and supports the broader application of this refined approach to other species in the future.

Global Ecology and ConservationVol. 66
Kookmin University (KR), Korea University (KR), Korea University (JP), Jeju National University (KR)
Life in Land
Openalex Percentile: Top 89%
Species Distribution and Climate Change
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Measures to improve the accuracy of species distribution models for effective conservation of endangered species — Jiyeon Lee, Hye In Chung, et al. · Global Ecology and Conservation (2026) | TGRS Research Map | TGRS