2019
DOI: 10.1016/j.ecoinf.2019.01.003
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Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crép. in Egypt

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Cited by 219 publications
(143 citation statements)
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References 51 publications
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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: 62%
See 1 more Smart Citation
“…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: 62%
“…In this study, we established the current and potential distribution of species using occurrence data through a Maximum Entropy (MaxEnt) model [14]. MaxEnt has been widely applied to studies of flora conservation [15], fauna [16,17], management of endangered species [18,19], conservation of endemic species [20], and invasive species control [21,22], as well as in forestry and agricultural zoning [12,23] [24] from local to global scales, allowing the development of "species distribution" maps and, finally, the estimation of a "suitability index" [25] for the Peruvian Amazon region. Though a few studies have been done over the Amazon region using MaxEnt models for evapotranspiration estimation [26], fire probability distribution [27], infrastructure expansion [24], and conservation of freshwater turtles [11], no such studies have been conducted for species distribution and its spatial modeling, which are the prime focuses of all conservation and restoration policies.…”
Section: Introductionmentioning
confidence: 99%
“…Climate change will alter environmental conditions in many localities such that they are no longer idealor survivablefor some species that now inhabit them. The predicted suitable range for many species, including medicinal plants, will narrow or move substantially following expected climate changes [34][35][36][37][38][39], though other species will enjoy expansions of potential range. Distributions of many organisms are already shifting rapidly towards higher latitudes or elevations [40][41][42], which increases competitive pressure on existing species in these ranges.…”
Section: Decreased Availability and Extinction Of Populationsmentioning
confidence: 99%
“…Medicinal plants will not be exempt from these effects. Examples where highly suitable habitat for a given species will clearly decrease receive the most attention (e.g., [36,39]), but sometimes the situation is more complex. For example, ecological niche modeling (ENM) by You et al [37] predicted that the geographic range of Rhodiola quadrifida will contract, but the potential ranges of other Rhodiola species will expand.…”
Section: Decreased Availability and Extinction Of Populationsmentioning
confidence: 99%
“…This study aims to find suitable habitat conditions for Iraqi amphibians under climate change using SDMs. These conditions are of course determined by both biotic and abiotic factors (Wiens 2011;Wisz et al 2013), but abiotic conditions are known to be important (Abdelaala et al 2019). A set of abiotic environmental variables are used to predict habitat suitability, both currently and in the future under climate change using two emission-scenario pathways of the 5 th IPCC assessment.…”
Section: Introductionmentioning
confidence: 99%