Distribución potencial y abundancia de candelilla (Euphorbia antisyphilitica) en el norte de Zacatecas, México

Bañuelos-Revilla, José Enrique; Palacio-Núñez, Jorge; Martínez-Montoya, Juan F.; Olmos-Oropeza, Genaro; Flores-Cano, Jorge A.

doi:10.21829/myb.2019.2511657

Cited by 7 publications

(11 citation statements)

References 30 publications

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“…Our results would allow stablishing better candelilla's management, including protection or cultivation based on the vulnerability of wild populations or on the location of suitable areas for candelilla's growth [8,9,61]. In this regard, we identified that thirteen environmental variables influence (99%) the current and future distribution of candelilla in North America.…”

Section: Discussionmentioning

confidence: 87%

“…These environmental variables showed that the candelilla's distribution is mostly affected by low temperatures and dry seasons. According to the literature, this species grows in areas of semi-desert climate and is highly adapted to drought conditions with erratic rainfall regimes with an annual precipitation of 150-500 mm and extreme temperatures of 44 • C and −2 • C [2,8,61].…”

Section: Discussionmentioning

confidence: 99%

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

Vargas-Piedra

Valdéz-Cepeda

López-Santos

et al. 2020

Forests

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Candelilla (Euphorbia antisyphilitica Zucc.) 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.

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Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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

Vargas-Piedra

Valdéz-Cepeda

López-Santos

et al. 2020

Forests

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“…An average of AUC = 0.95 was achieved, and considering models with "excellent" predictive performance (AUC = 0.914-0.985), these are equal to or more accurate than those reported in the literature for plant species such as Paeonia veitchii (0.958) [55], Paeonia ostii (0.960) [54], Daphne mucronata (0.95) [87], Rosa arabica (0.968 ± 0.009) [20], Aristolochia gigantea (0.924) [88], Justicia adhatoda (0.923) [57], Garcinia indica (mean 0.959 ± 0.023) [89], Euphorbia antisyphilitica (0.920 ± 0.039) [90], Abies pindrow (0.970 ± 0.019), and Betula utilis (0.984 ± 0.008) [28]. Even the "good" performance of C. montana (AUC = 0.868) is equal to or more accurate than those of Quercus sp.…”

Section: Discussionmentioning

confidence: 99%

Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru

et al. 2020

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The Andean-Amazonian landscape has been universally recognized for its wide biodiversity, and is considered as global repository of ecosystem services. However, the severe loss of forest cover and rapid reduction of the timber species seriously threaten this ecosystem and biodiversity. In this study, we have modeled the distribution of the ten most exploited timber forest species in Amazonas (Peru) to identify priority areas for forest conservation and restoration. Statistical and cartographic protocols were applied with 4454 species records and 26 environmental variables using a Maximum Entropy model (MaxEnt). The result showed that the altitudinal variable was the main regulatory factor that significantly controls the distribution of the species. We found that nine species are distributed below 1000 m above sea level (a.s.l.), except Cedrela montana, which was distributed above 1500 m a.s.l., covering 40.68%. Eight of 10 species can coexist, and the species with the highest percentage of potential restoration area is Cedrela montana (14.57% from Amazonas). However, less than 1.33% of the Amazon has a potential distribution of some species and is protected under some category of conservation. Our study will contribute as a tool for the sustainable management of forests and will provide geographic information to complement forest restoration and conservation plans.

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“…Lira-Noriega et al (2013), who analyzed how climate factors explain the distribution area of a parasite plant (Phoradendron californicum) in the Sonora and Mojave deserts, recommend the integration of different environmental and biological factors in geographic ranges to gain a fuller understanding of the distribution patterns of processes of different species. On the other hand, Bañuelos-Revilla et al (2019) state that, for Euphorbia antisyphilitica (candelilla), knowing the habitat variables was relevant to obtain information about its potential distribution, abundance, and size, deducting that, naturally, the distribution of species depend on both environmental and anthropic factors.…”

Section: Discussionmentioning

confidence: 99%

“…Regarding this, several predictive models have been designed to help estimate the potential distribution of wild species as to inform management and preservation actions (Bañuelos-Revilla et al 2019). The models help determine the locations where environmental conditions are most favorable for a species to prosper according to parameters obtained from prior data collections.…”

mentioning

confidence: 99%

Potential distribution of Croton guatemalensis : a model with reproductive biology data

et al. 2021

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Background: The inclusion of information on the phenology of any given species can significantly improve the resulting of potential distribution models. Scientific literature does not provide up-to-date information on the abiotic and biotic factors that determine the distribution of Croton guatemalensis, a species native to communities in south Mexico. For the first time, the potential distribution of C. guatemalensis was determined using a model which includes reproductive biology data. Questions: Which bioclimatic and climatic variables most contribute to the distribution of C. guatemalensis? Does reproductive biology data contribute significantly to the prediction of the species distribution? Studied species/Mathematical model: Croton guatemalensis/ Maximum Entropy Modeling Study area and dates: Chiapas, Mexico, January - December 2020. Methods: The MaxEnt 4.4.4 algorithm was used, incorporating 16 variables, including bioclimatic, climatic and elevation. In addition, a habitat suitability layer was built. Results: The model presented a precision of AUC = 0.964 ± 0.004. Eight variables contributed to explain 86.5 % of the potential distribution of the species. According to their contribution to the model, the most important were the seasonality of precipitation, habitat suitability, elevation and April solar radiation. The species was found in the physiographic regions Central America South Mountain Range Subprovince, Central Depression of Chiapas Discontinuity, and Altos de Chiapas Subprovince. Conclusions: The inclusion reproductive biology data of C. guatemalensis contributed to improve the model. This information allows the development of more effective management and conservation plans by identifying the precise regions in which the species is found.

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Distribución potencial y abundancia de candelilla (Euphorbia antisyphilitica) en el norte de Zacatecas, México

Cited by 7 publications

References 30 publications

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

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

Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru

Potential distribution of Croton guatemalensis : a model with reproductive biology data

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