2023
DOI: 10.21425/f5fbg58763
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Defining the extent of suitable habitat for the endangered Maple-Leaf oak (Quercus acerifolia)

Suresh C. Subedi,
Boone Ruston,
J. Aaron Hogan
et al.

Abstract: Highlights• Climate change-driven impacts will likely pose significant risks to endangered species.• We show how ecological niche modeling under climate change can inform the conservation of Q. acerifolia.• We predict suitable habitat for Q. acerifolia in 20 counties (Arkansas and Oklahoma) including four currently known locations in Arkansas.• Bioclimatic and topographic variables were identified as influential factors that affect the distribution of Q. acerifolia.• This study provides important information o… Show more

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Cited by 2 publications
(2 citation statements)
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“…As recent SDM studies have successfully improved predictive accuracy by combining models generated from several algorithms (Hao et al 2020;Adhikari et al 2022Adhikari et al , 2023Subedi et al 2023), rather than a single algorithm in SDM, an ensemble modeling approach was used to develop habitat suitability models, combining multiple SDM algorithms. First, sampling bias and spatially autocorrelated occurrence data were addressed through spatial rarefaction or filtering (Kramer-Schadt et al 2013;Boria et al 2014;Aiello-Lammens et al 2015).…”
Section: Species Distribution Modellingmentioning
confidence: 99%
“…As recent SDM studies have successfully improved predictive accuracy by combining models generated from several algorithms (Hao et al 2020;Adhikari et al 2022Adhikari et al , 2023Subedi et al 2023), rather than a single algorithm in SDM, an ensemble modeling approach was used to develop habitat suitability models, combining multiple SDM algorithms. First, sampling bias and spatially autocorrelated occurrence data were addressed through spatial rarefaction or filtering (Kramer-Schadt et al 2013;Boria et al 2014;Aiello-Lammens et al 2015).…”
Section: Species Distribution Modellingmentioning
confidence: 99%
“…It is crucial to select appropriate tree species and establish long-term ecological restoration plans for drought-prone and semi-arid regions by utilizing species distribution data and environmental information to generate niche-based models that explore and predict species’ response patterns to future climate change ( Zhang et al., 2020 ; Subedi et al., 2023 , 2024 ; Varol et al., 2022 ). The Maximum Entropy (Maxent) model is a density estimation and species distribution model ( Phillips et al., 2006 ) that is one of the most effective and widely used methods for studying the impact of climate change on species habitat suitability ( Araújo et al., 2019 ).…”
Section: Introductionmentioning
confidence: 99%