2022
DOI: 10.3390/su14127215
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Predicting the Suitable Current and Future Potential Distribution of the Native Endangered Tree Tecomella undulata (Sm.) Seem. in Pakistan

Abstract: The burgeoning human population exhibited a rapid amplification in demand for timber and fuelwood and as a result, the natural population of the native tree Tecomella undulata reduced rapidly due to its high economic and medicinal significance. The recognition of appropriate regions for threatened plants in the climate change scenario is a fundamental step for the restoration and conservation of biodiversity. The current study predicts the potentially suitable areas in Pakistan for T. undulata restoration. Thi… Show more

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Cited by 16 publications
(7 citation statements)
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“…Despite their undeniable significance in defining the geographic range of many species, it is interesting to note that climatic influences are not the only ones causing species to disperse throughout any land area [ 14 ]. To forecast a more accurate image of the spatial distribution of the species, other ecological aspects such as ecological interactions, dispersal pattern and capability, habitat preference, resource distribution, and availability merit careful investigation and improved integration within SDMs [ 36 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite their undeniable significance in defining the geographic range of many species, it is interesting to note that climatic influences are not the only ones causing species to disperse throughout any land area [ 14 ]. To forecast a more accurate image of the spatial distribution of the species, other ecological aspects such as ecological interactions, dispersal pattern and capability, habitat preference, resource distribution, and availability merit careful investigation and improved integration within SDMs [ 36 ].…”
Section: Discussionmentioning
confidence: 99%
“…The SDM method, based on the niche conservatism theory, predicts the distribution of species along spatio-temporal gradients using a combination of climatic and other environmental variables with data on species distribution [ 13 ]. The influence of future climate change on a region of appropriate habitat for a species is frequently predicted using the niche modeling technique known as the MaxEnt (maximum entropy) model [ 14 ]. The MaxEnt model can accurately forecast a small number of species distribution ranges, making it ideal for making predictions about some threatened or endemic animals.…”
Section: Introductionmentioning
confidence: 99%
“…This study included various bioclimatic variables ( Table 1 ) following Dong et al. (2023) and Arshad et al. (2022) .…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, the probability distribution obtained from Maxent has a concise mathematical expression, allowing direct generation of a habitat suitability map 17 . Each environmental variable's relative importance (%) can be evaluated using the software’s built-in jackknife test 18 . These MaxEnt capabilities provide an effectual way to predict the potential distribution of endangered species, which often have a limited number of observed occurrences and grow in remote areas with terrain and access constraints, making field data collection difficult 19 .…”
Section: Introductionmentioning
confidence: 99%