2022
DOI: 10.3390/f13010129
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Predicting Potential Habitat of a Plant Species with Small Populations under Climate Change: Ostryarehderiana

Abstract: Ostrya rehderiana is a famous plant species with extremely small populations. With ongoing global climate change, the extremely small populations would face more uncertainties and risks, including the loss of genetic diversity and extirpation. Thus, assessing the impact of climate change on suitable habitat of O. rehderiana is particularly important for its conservation and restoration. Here, we built niche models with climate variables and soil and human footprint variables. Furthermore, new methods were appl… Show more

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Cited by 13 publications
(8 citation statements)
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“…Future climate change is mainly reflected in the escalating temperature increase caused by greenhouse gases, which will promote species migration to the boreal forests [77]. At large spatial and temporal scales, climate was the primary determining factor in regulating species distribution [16,75]. This study revealed that the most important bioclimatic variables affecting the presence of H. tetratepala were precipitation during the warmest quarter (Bio_18), followed by temperature seasonality (Bio_4).…”
Section: Discussionmentioning
confidence: 93%
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“…Future climate change is mainly reflected in the escalating temperature increase caused by greenhouse gases, which will promote species migration to the boreal forests [77]. At large spatial and temporal scales, climate was the primary determining factor in regulating species distribution [16,75]. This study revealed that the most important bioclimatic variables affecting the presence of H. tetratepala were precipitation during the warmest quarter (Bio_18), followed by temperature seasonality (Bio_4).…”
Section: Discussionmentioning
confidence: 93%
“…The results showed a highly effective and accurate method for predicting the potential suitable areas of H. tetratepala, despite the fact that the use of AUC value to estimate the predictive accuracy of the MaxEnt model is controversial [72][73][74]. At large spatial and temporal scales, climate was the primary determining factor in regulating species distribution [16,75]. This study revealed that the most important bioclimatic variables affecting the presence of H. tetratepala were precipitation during the warmest quarter (Bio_18), followed by temperature seasonality (Bio_4).…”
Section: Discussionmentioning
confidence: 98%
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“…These maps were imported into QGIS 2.18.25 software to map the current and future geographic distribution of suitable habitats of B. aegyptiaca based on the logistic probability of occurrence (P). (i) low suitable (0 > P ≤ 0.3), (ii) medium suitable (0.3 > P ≤ 0.5), and (iii) high suitable areas (0.5 > P ≤ 1) (Feng et al, 2022). The area of each habitat type was calculated, and the trend was estimated (proportion of loss, stable, or gained area).…”
Section: Data Processing and Model Development Processmentioning
confidence: 99%
“…Regarding the rare endemic species, SDM has been improved by a variety of algorithms and methodologies for model construction, in addition to the incorporation of environmental factors with different scales of influence on species distributions ( e.g . Pearson et al, 2007 ; Williams et al, 2009 ; Patsiou et al, 2014 ; McCune, 2016 ; Mi et al, 2017 ; Feng et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%