Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China.

Aconitum leucostomum Center-of-mass transfer Climate change Human activity MaxEnt Poisonous grass

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
28 Nov 2023
Historique:
received: 05 05 2023
revised: 20 11 2023
accepted: 22 11 2023
pubmed: 30 11 2023
medline: 30 11 2023
entrez: 29 11 2023
Statut: aheadofprint

Résumé

Aconitum leucostomum is a poisonous grass that disturbs grassland populations and livestock development, and its spread is influenced by climate change and human activities. Therefore, exploring its potential distribution area under such conditions is crucial to maintain grassland ecological security and livestock development. The present study initially selected 39 variables that may influence the spatial distribution of A. leucostomum, including bioclimate, soil, topography, solar radiation, and human footprint data; the variables were screened by Spearman's correlation coefficient and the jackknife method. Twenty variables were finally identified, and three types of models based on the maximum entropy (MaxEnt) model were constructed to predict the distribution of A. leucostomum within China under three shared economy pathways (SSP126, SSP245, and SSP585): A: prediction of environmental variables under the current climate model; B: prediction of environmental variables + human footprint under the current climate model; and C: prediction of environmental variables under the future climate model (including the 2030s, 2050s, and 2070s). The effects of human activities and climate change on the potential geographic distribution of A. leucostomum were explored separately. The results show that precipitation seasonality, human footprint, solar radiation and mean diurnal range are the main factors affecting the distribution of A. leucostomum. Human activities inhibit the spread of A. leucostomum, and climate change promotes its growth, with areas of high suitability and area variation mainly in northern Xinjiang and northern Yunnan. With climate change, in the future, the distribution center of A. leucostomum shows a tendency to migrate to the southeast on the horizontal gradient and to move to higher altitudes on the vertical gradient. This study provides a positive reference value for the control of A. leucostomum and the maintenance of grassland ecological security.

Identifiants

pubmed: 38030008
pii: S0048-9697(23)07458-2
doi: 10.1016/j.scitotenv.2023.168829
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

168829

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Li Xu (L)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China.

Yuan Fan (Y)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China.

Jianghua Zheng (J)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China. Electronic address: zheng.jianghua@xju.edu.cn.

Jingyun Guan (J)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; College of Tourism, Xinjiang University of Finance & Economics, Urumqi 830012, China.

Jun Lin (J)

Xinjiang Office of Locust Control and Rodent Eradication Command, Urumqi 830001, China.

Jianguo Wu (J)

Xinjiang Office of Locust Control and Rodent Eradication Command, Urumqi 830001, China.

Liang Liu (L)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China.

Rui Wu (R)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China.

Yujia Liu (Y)

College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China.

Classifications MeSH