Risk Assessment of Alien Woody Plants in China’s National Nature Reserves Under Climate Change

Alien woody plants (AWPs) increasingly threaten biodiversity in China's national nature reserves, with climate change expected to intensify these risks. We used species distribution modeling (MaxEnt) and spatial prioritization (Zonation) to assess invasion risk for 251 AWP species across 479 national nature reserves under current and future climate scenarios (SSP245 and SSP585). Spatial prioritization revealed current hotspots in southern tropical-subtropical national nature reserves (e.g., Hainan, Fujian, Yunnan provinces), with significant northward and westward expansion projected under warming. A total of 71 species-such as <i>Quercus robur</i>, <i>Salix alba</i>, and <i>Robinia pseudoacacia</i>-pose consistently high risks, while some others (e.g., <i>Ficus benghalensis</i>) may become emerging threats under future conditions. These range shifts are driven by thermal constraint relaxation and longer growing seasons. To mitigate future impacts, we recommend region-specific strategies: containment and seed-source control in southern national nature reserves, and early detection and monitoring in northern and western regions. Our findings provide a spatially explicit framework for climate-informed invasive species management in protected areas.

Authors

Institutions

Publication Details

Journal
Plants
Published
2025-09-28
DOI
https://doi.org/10.3390/plants14193006
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk Assessment of Alien Woody Plants in China’s National Nature Reserves Under Climate Change

Fei-Xue Zhang, Chun‐Jing Wang, Hongli Li, Da Zhi Wang
Plants
Species Distribution and Climate Change
article

Risk Assessment of Alien Woody Plants in China’s National Nature Reserves Under Climate Change

Fei-Xue Zhang, Chun‐Jing Wang, Hongli Li, Da Zhi Wang
article en

Abstract

Alien woody plants (AWPs) increasingly threaten biodiversity in China's national nature reserves, with climate change expected to intensify these risks. We used species distribution modeling (MaxEnt) and spatial prioritization (Zonation) to assess invasion risk for 251 AWP species across 479 national nature reserves under current and future climate scenarios (SSP245 and SSP585). Spatial prioritization revealed current hotspots in southern tropical-subtropical national nature reserves (e.g., Hainan, Fujian, Yunnan provinces), with significant northward and westward expansion projected under warming. A total of 71 species-such as <i>Quercus robur</i>, <i>Salix alba</i>, and <i>Robinia pseudoacacia</i>-pose consistently high risks, while some others (e.g., <i>Ficus benghalensis</i>) may become emerging threats under future conditions. These range shifts are driven by thermal constraint relaxation and longer growing seasons. To mitigate future impacts, we recommend region-specific strategies: containment and seed-source control in southern national nature reserves, and early detection and monitoring in northern and western regions. Our findings provide a spatially explicit framework for climate-informed invasive species management in protected areas.

PlantsVol. 14(19)
Beijing Forestry University (CN), Sichuan Academy of Forestry (CN)
National Forestry and Grassland Administration, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 85%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.