Clayton W Hale, Joshua J. Granger, A. Paulson, Carlos Ramirez‐Reyes, Q. Ma, Jia Yang
{"title":"Modeling Habitat Suitability for Stewartia ovata Across the Southeastern United States","authors":"Clayton W Hale, Joshua J. Granger, A. Paulson, Carlos Ramirez‐Reyes, Q. Ma, Jia Yang","doi":"10.2179/0008-7475.86.2.173","DOIUrl":null,"url":null,"abstract":"ABSTRACT Mountain stewartia (Stewartia ovata) is a rare shrub or small tree endemic to the higher elevation regions of Georgia, Tennessee, and Alabama with isolated populations occurring in Kentucky, North Carolina, South Carolina, Virginia, and Mississippi. The species is often misidentified or overlooked by land managers and conservationists. As a result, mountain stewartia's habitat and distribution descriptions are limited for restoration and conservation use. Modeling a species' habitat suitability has become a critical first step in conserving rare and imperiled plant species. These models allow conservationists to locate previously undocumented populations and prioritize populations and habitats for conservation. This study presents a habitat suitability model for mountain stewartia across its known natural range based on maximum entropy (Maxent) modeling with nine environmental predictor variables and 60 occurrences from herbarium records (n=22), research-grade iNaturalist observations (n=25), and other author identified locations (n=3). The resulting habitat suitability map was classified into bins for spatial analysis. A total of 376,030 ha (0.44% of the study area) was designated within the top tier bin with the highest suitable habitat. Further, 133,344 ha (0.16% of the study area) of the top bin was found on publicly owned lands, indicating approximately 35.56% of the highest habitat suitability occurs within public lands. The presented model could allow plant conservationists to prioritize areas for conservation, reintroduction, and may lead to the discovery of previously undocumented populations.","PeriodicalId":50984,"journal":{"name":"Castanea","volume":"86 1","pages":"173 - 184"},"PeriodicalIF":0.2000,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Castanea","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2179/0008-7475.86.2.173","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT Mountain stewartia (Stewartia ovata) is a rare shrub or small tree endemic to the higher elevation regions of Georgia, Tennessee, and Alabama with isolated populations occurring in Kentucky, North Carolina, South Carolina, Virginia, and Mississippi. The species is often misidentified or overlooked by land managers and conservationists. As a result, mountain stewartia's habitat and distribution descriptions are limited for restoration and conservation use. Modeling a species' habitat suitability has become a critical first step in conserving rare and imperiled plant species. These models allow conservationists to locate previously undocumented populations and prioritize populations and habitats for conservation. This study presents a habitat suitability model for mountain stewartia across its known natural range based on maximum entropy (Maxent) modeling with nine environmental predictor variables and 60 occurrences from herbarium records (n=22), research-grade iNaturalist observations (n=25), and other author identified locations (n=3). The resulting habitat suitability map was classified into bins for spatial analysis. A total of 376,030 ha (0.44% of the study area) was designated within the top tier bin with the highest suitable habitat. Further, 133,344 ha (0.16% of the study area) of the top bin was found on publicly owned lands, indicating approximately 35.56% of the highest habitat suitability occurs within public lands. The presented model could allow plant conservationists to prioritize areas for conservation, reintroduction, and may lead to the discovery of previously undocumented populations.
期刊介绍:
Castanea is named in honor of the American Chestnut tree. Castanea is thebotanical name for Chestnuts, dating back to what the ancient Greeks calledthem.
The American Chestnut is a critically endangered tree that once made up 35%of the forests of the Eastern US before being devastated by a blight thatdestroyed up to 4 billion American Chestnut trees.
Castanea serves professional and amateur botanists by reviewing andpublishing scientific papers related to botany in the Eastern United States.
We accept papers relating to plant biology, biochemistry, ecology, floristics,physiology and systematics.