Potential Distribution and Response to Climate Change in Puccinellia tenuiflora in China Projected Using Optimized MaxEnt Model

Global climate change is accelerating and human pressures are intensifying, exerting profound impacts on biodiversity and ecosystem service functions. The accurate prediction of species distributions has thus become a critical research direction in ecological conservation and restoration. This study selected <i>Puccinellia tenuiflora</i>, a species distributed across China, as its research subject. Utilizing 169 occurrence records and 10 environmental variables, we applied a parameter-optimized MaxEnt model to simulate the species' current and future (2050s-2090s) potential suitable habitats under the SSP126, SSP370, and SSP585 scenarios. The results identified the human footprint index (HFI, 43.3%) and temperature seasonality (Bio4, 26.9%) as the dominant factors influencing its distribution. The current suitable area is primarily concentrated in northern China, covering approximately 258.26 × 10<sup>4</sup> km<sup>2</sup>. Under all future scenarios, a contraction of suitable habitat is projected, with the most significant reduction observed under SSP585 by the 2090s (a decrease of 56.2%). The distribution centroid is projected to shift northeastward by up to 145.36 km. This study elucidates the response mechanism of <i>P. tenuiflora</i> distribution to climate change and human activities. The projected habitat contraction and spatial displacement highlight the potential vulnerability of this species to future climate change. These findings, derived from a rigorously optimized and spatially validated model, provide a scientific basis for the conservation, reintroduction, and adaptive management of <i>P. tenuiflora</i> under climate change.

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Publication Details

Journal
Biology
Published
2025-10-16
DOI
https://doi.org/10.3390/biology14101426
Primary Topic
Environmental Changes in China
Type
article
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article

Potential Distribution and Response to Climate Change in Puccinellia tenuiflora in China Projected Using Optimized MaxEnt Model

Hao Yang, Jinxin Zhang, Manyin Zhang, Xiaoting Wei
Biology
Environmental Changes in China
article

Potential Distribution and Response to Climate Change in Puccinellia tenuiflora in China Projected Using Optimized MaxEnt Model

Hao Yang, Jinxin Zhang, Manyin Zhang, Xiaoting Wei
article en

Abstract

Global climate change is accelerating and human pressures are intensifying, exerting profound impacts on biodiversity and ecosystem service functions. The accurate prediction of species distributions has thus become a critical research direction in ecological conservation and restoration. This study selected <i>Puccinellia tenuiflora</i>, a species distributed across China, as its research subject. Utilizing 169 occurrence records and 10 environmental variables, we applied a parameter-optimized MaxEnt model to simulate the species' current and future (2050s-2090s) potential suitable habitats under the SSP126, SSP370, and SSP585 scenarios. The results identified the human footprint index (HFI, 43.3%) and temperature seasonality (Bio4, 26.9%) as the dominant factors influencing its distribution. The current suitable area is primarily concentrated in northern China, covering approximately 258.26 × 10<sup>4</sup> km<sup>2</sup>. Under all future scenarios, a contraction of suitable habitat is projected, with the most significant reduction observed under SSP585 by the 2090s (a decrease of 56.2%). The distribution centroid is projected to shift northeastward by up to 145.36 km. This study elucidates the response mechanism of <i>P. tenuiflora</i> distribution to climate change and human activities. The projected habitat contraction and spatial displacement highlight the potential vulnerability of this species to future climate change. These findings, derived from a rigorously optimized and spatially validated model, provide a scientific basis for the conservation, reintroduction, and adaptive management of <i>P. tenuiflora</i> under climate change.

BiologyVol. 14(10)
Chinese Academy of Forestry (CN), State Forestry and Grassland Administration (CN)
Openalex Percentile: Top 73%
Environmental Changes in China
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