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Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios.
Changjun, Gu; Yanli, Tu; Linshan, Liu; Bo, Wei; Yili, Zhang; Haibin, Yu; Xilong, Wang; Zhuoga, Yangjin; Binghua, Zhang; Bohao, Cui.
  • Changjun G; Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
  • Yanli T; University of Chinese Academy of Sciences Beijing China.
  • Linshan L; Tibet Plateau Institute of Biology Lhasa China.
  • Bo W; Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
  • Yili Z; Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
  • Haibin Y; University of Chinese Academy of Sciences Beijing China.
  • Xilong W; Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.
  • Zhuoga Y; University of Chinese Academy of Sciences Beijing China.
  • Binghua Z; School of Life Sciences Guangzhou University Guangzhou China.
  • Bohao C; Tibet Plateau Institute of Biology Lhasa China.
Ecol Evol ; 11(17): 12092-12113, 2021 Sep.
Article en En | MEDLINE | ID: mdl-34522363
ABSTRACT

AIM:

Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. Ageratina adenophora is an invasive weed over 30 countries in tropical and subtropical regions. However, the potential suitable areas of A. adenophora remain unclear along with its response to climate change. This study explored and mapped the current and future potential suitable areas of Ageratina adenophora. LOCATION Global. TAXA Asteraceae A. adenophora (Spreng.) R.M.King & H.Rob. Commonly known as Crofton weed.

METHODS:

Based on A. adenophora occurrence data and climate data, we predicted its suitable areas of this weed under current and future (four RCPs in 2050 and 2070) by MaxEnt model. We used ArcGIS 10.4 to explore the potential suitable area distribution characteristics of this weed and the "ecospat" package in R to analyze its altitudinal distribution changes.

RESULTS:

The area under the curve (AUC) value (>0.9) and true skill statistics (TSS) value (>0.8) indicated excelled model performance. Among environment factors, mean temperature of coldest quarter contributed most to the model. Globally, the suitable areas for A. adenophora invasion decreased under climate change scenarios, although regional increases were observed, including in six biodiversity hotspot regions. The potential suitable areas of A. adenophora under climate change would expand in regions with higher elevation (3,000-3,500 m). MAIN

CONCLUSIONS:

Mean temperature of coldest quarter was the most important variable influencing the potential suitable area of A. Adenophora. Under the background of a warming climate, the potential suitable area of A. adenophora will shrink globally but increase in six biodiversity hotspot regions. The potential suitable area of A. adenophora would expand at higher elevation (3,000-3,500 m) under climate change. Mountain ecosystems are of special concern as they are rich in biodiversity and sensitive to climate change, and increasing human activities provide more opportunities for IAS invasion.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article