Current and Future Potential Distribution of the Xerophytic Shrub Candelilla (Euphorbia antisyphilitica) under Two Climate Change Scenarios

被引:16
|
作者
Vargas-Piedra, Gonzalo [1 ]
Valdez-Cepeda, Ricardo David [2 ]
Lopez-Santos, Armando [1 ]
Flores-Hernandez, Arnoldo [1 ]
Hernandez-Quiroz, Nathalie S. [3 ]
Martinez-Salvador, Martin [3 ]
机构
[1] Univ Autonoma Chapingo, Unidad Reg Univ Zonas Aridas, Apdo Postal 8, Durango 35230, Mexico
[2] Univ Autonoma Chapingo, Ctr Reg Univ Norte Ctr, Apartado Postal 196, Zacatecas 98001, Zacatecas, Mexico
[3] Univ Autonoma Chihuahua, Fac Zootecnia & Ecol, Perifer Francisco R Almada Km 1, Chihuahua 31453, Chihuahua, Mexico
来源
FORESTS | 2020年 / 11卷 / 05期
关键词
species distribution; environmental change scenarios; candelilla spatial analysis; SPECIES DISTRIBUTION; MODELS; PREDICTION; MAXENT; WILDLIFE; HABITAT; IMPROVE; WAX; L;
D O I
10.3390/f11050530
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Candelilla (Euphorbia antisyphiliticaZucc.) is a shrub species distributed throughout the Chihuahuan Desert in northern Mexico and southern of the United States of America. Candelilla has an economic importance due to natural wax it produces. The economic importance and the intense harvest of the wax from candelilla seems to gradually reduce the natural populations of this species. The essence of this research was to project the potential distribution of candelilla populations under different climate change scenarios in its natural distribution area in North America. We created a spatial database with points of candelilla presence, according to the Global Biodiversity Information Facility (GBIF). A spatial analysis to predict the potential distribution of the species using Maxent software was performed. Thirteen of 19 variables from the WorldClim database were used for two scenarios of representative concentration pathways (RCPs) (4.5 as a conservative and 8.5 as extreme). We used climate projections from three global climate models (GCMs) (Max Planck institute, the Geophysical Fluid Dynamics Laboratory and the Met Office Hadley), each simulating the two scenarios. The final predicted distribution areas were classified in five on-site possible candelilla habitat suitability categories: none (< 19%), low (20-38%), medium (39-57%), high (58-76%) and very high (> 77%). According to the area under the curve (0.970), the models and scenarios used showed an adequate fit to project the current and future distribution of candelilla. The variable that contributed the most in the three GCMs and the two RCPs was the mean temperature of the coldest quarter with an influence of 45.7% (Jackknife test). The candelilla's distribution area for North America was predicted as approximately 19.1 million hectares under the current conditions for the high habitat suitability; however, the projection for the next fifty years is not promising because the GCMs projected a reduction of more than 6.9 million hectares using either the conservative or extreme scenarios. The results are useful for conservation of the species in the area with vulnerable wild populations, as well as for the selection of new sites suitable for the species growth and cultivation while facing climate change.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Potential changes in the distributions of western North America tree and shrub taxa under future climate scenarios
    Shafer, SL
    Bartlein, PJ
    Thompson, RS
    ECOSYSTEMS, 2001, 4 (03) : 200 - 215
  • [32] Potential Distribution of Pilocarpus microphyllus in the Amazonia/Cerrado Biomes under Near-Future Climate Change Scenarios
    Monteiro, Waleria P.
    de Souza, Everaldo B.
    Miranda, Leonardo de Sousa
    Anjos, Luciano J. S.
    Caldeira, Cecilio F.
    PLANTS-BASEL, 2023, 12 (11):
  • [33] Present and future potential distribution of the endangered Anairetes alpinus (Passeriformes: Tyrannidae) under global climate change scenarios
    Atauchi, P. Joser
    Aucca-Chutas, Constantino
    Ferro, Gregorio
    Prieto-Torres, David A.
    JOURNAL OF ORNITHOLOGY, 2020, 161 (03) : 723 - 738
  • [34] Present and future potential distribution of the endangered Anairetes alpinus (Passeriformes: Tyrannidae) under global climate change scenarios
    P. Joser Atauchi
    Constantino Aucca-Chutas
    Gregorio Ferro
    David A. Prieto-Torres
    Journal of Ornithology, 2020, 161 : 723 - 738
  • [35] Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
    Zhang, Xinyi
    Zhao, Jian
    Wang, Miaomiao
    Li, Zhipeng
    Lin, Sheng
    Chen, Hong
    ECOLOGY AND EVOLUTION, 2022, 12 (12):
  • [36] Prediction of the potential distribution of the predatory mite Neoseiulus californicus (McGregor) in China under current and future climate scenarios
    Lin Chen
    Chunxian Jiang
    Xueyan Zhang
    Cancan Song
    Rulin Wang
    Xian Wang
    Qing Li
    Scientific Reports, 12
  • [37] Prediction of the potential distribution of the predatory mite Neoseiulus californicus (McGregor) in China under current and future climate scenarios
    Chen, Lin
    Jiang, Chunxian
    Zhang, Xueyan
    Song, Cancan
    Wang, Rulin
    Wang, Xian
    Li, Qing
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [38] Modelling the potential distribution of arbovirus vector Aedes aegypti under current and future climate scenarios in Taiwan, China
    Liu, Boyang
    Jiao, Zhihui
    Ma, Jun
    Gao, Xiang
    Xiao, Jianhua
    Hayat, Muhammad A.
    Wang, Hongbin
    PEST MANAGEMENT SCIENCE, 2019, 75 (11) : 3076 - 3083
  • [39] Modelling current and future potential distributions of two desert jerboas under climate change in Iran
    Mohammadi, S.
    Ebrahimi, E.
    Moghadam, Shahriari M.
    Bosso, L.
    ECOLOGICAL INFORMATICS, 2019, 52 : 7 - 13
  • [40] Potential Distribution of Dengue Fever Under Scenarios of Climate Change and Economic Development
    Christofer Åström
    Joacim Rocklöv
    Simon Hales
    Andreas Béguin
    Valerie Louis
    Rainer Sauerborn
    EcoHealth, 2012, 9 : 448 - 454