Risk of introduction and establishment of alien vertebrate species in transboundary neighboring areas

被引:7
|
作者
Zhang, Qing [1 ,2 ]
Wang, Yanping [1 ]
Liu, Xuan [2 ,3 ]
机构
[1] Nanjing Normal Univ, Coll Life Sci, Lab Isl Biogeog & Conservat Biol, Nanjing 210023, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, 1 Beichen West Rd, Beijing 100101, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
BIOLOGICAL INVASIONS; PROPAGULE PRESSURE; PLANT INVASION; FOREST; TRADE; PATHWAYS; BORDER; DISPERSAL; FRONTIERS; RICHNESS;
D O I
10.1038/s41467-024-45025-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cross-border neighboring areas could be particularly vulnerable to biological invasions due to short geographic distances and frequent interactions, although the invasion risk remains unevaluated worldwide. Here, based on global datasets of distributions of established alien vertebrates as well as vectors of introduction and establishment, we show that more than one-third of the world's transboundary neighboring areas are facing high invasion risk of alien vertebrates, especially in Europe, North America, South Asia, and Southeast Asia. The most important predictors of high introduction and establishment risk are bilateral trade, habitat disturbance and the richness of established alien vertebrates. Interestingly, we found that border fences may have limited effects in reducing the risk, as only 7.9% of border fences spatially overlap with hotspots of biological invasion even in the Eurasia areas (13.7% overlap) where physical border barriers are mainly located. We therefore recommend the implementation of immediate and proactive prevention and control measures to cope with cross-border invasions in response to continued globalization. Controlling and preventing biological invasions requires transnational cooperation. This global study identifies land borders at higher risk of non-native vertebrate invasion and identifies human and environmental factors that predict risk hotspots.
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页数:11
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