Conservation Challenges and Opportunities for Fokienia hodginsii in the Wuyi Mountains Under Climate Change and Human Influence
Dawei Luo, Tongli Wang, Jiejie Sun, Xiali Guo, Mingliang Peng, Hongxi Shen, Jing Qian

TL;DR
This study assesses how climate change and human activity threaten the rare conifer Fokienia hodginsii in China's Wuyi Mountains, finding a potential 97.6% habitat loss by 2090.
Contribution
The study introduces a comprehensive evaluation of Fokienia hodginsii's habitat suitability using multiple models and climate scenarios, emphasizing the dominant role of climate variables.
Findings
MaxEnt model outperformed others with AUC of 0.973 and TSS of 0.704 in predicting Fokienia hodginsii distribution.
Climate variables accounted for 90.9% of the influence on F. hodginsii's distribution.
SSP585 scenario predicts a 97.6% loss of suitable habitat for F. hodginsii by the 2090s.
Abstract
Fokienia hodginsii (Dunn) A. Henry & H. H. Thomas, as an evergreen Tertiary relic conifer species of great ornamental, medical, and ecological value, has not been fully explored in terms of its risk associated with distribution under climate change scenarios. The Wuyi Mountains region is of exceptional ecological significance and provides important habitats for F. hodginsii. We compared four species distribution models (SDMs): Maximum Entropy Model (MaxEnt), random forest (RF), boosted regression tree (BRT), and generalized linear model (GLM) using climate variables, alongside soil variables and human footprint index, and used the best to make a comprehensive assessment of F. hodginsii's environmental suitability under shared socioeconomic pathways (SSPs) 126 and 585. Our results indicate that MaxEnt model provided the best discriminative power and prediction accuracy in species…
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Taxonomy
TopicsSpecies Distribution and Climate Change · Ecology and Vegetation Dynamics Studies · Forest ecology and management
