Kathryn M. Flinn, Zachary Litwinowicz, Tylor P. Mahany, James I. Watling
{"title":"基于物种分布模型的美国俄亥俄州东北部预定居树木分布和森林类型","authors":"Kathryn M. Flinn, Zachary Litwinowicz, Tylor P. Mahany, James I. Watling","doi":"10.1111/jvs.70007","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Questions</h3>\n \n <p>European colonization radically transformed the landscapes of eastern North America. Understanding this legacy is vital to managing current ecological communities. To do so requires spatially explicit information about presettlement vegetation. Here we test the ability of species distribution models, which have rarely been used with historical data like land survey records, to generate useful predictions of presettlement tree distributions. These models also allow us to assess pre-disturbance vegetation-environment relationships.</p>\n </section>\n \n <section>\n \n <h3> Location</h3>\n \n <p>Cuyahoga County, Ohio, USA.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Generalized linear models, generalized boosting models, random forests, and maximum entropy models related the distributions of 17 tree taxa to elevation, slope, aspect, and soil type, based on 4234 tree observations from circa-1800 surveys. Cluster analysis defined forest types and created a prediction map of forest types using random forests.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>This study generated high-resolution predictions of presettlement tree distributions. <i>Fagus grandifolia</i> and <i>Carya</i> spp. were predicted to have found suitable habitat in over half the area. Elevation was by far the most important predictor, followed by slope. Many taxa were more likely to occur at higher elevations, corresponding to the Allegheny Plateau, while others followed river valleys. Broadly, 51% of the county was predicted to support forest types with <i>Fagus grandifolia</i> and/or <i>Acer</i> spp., and 48% of the county was predicted to support forest types with <i>Quercus</i> spp., <i>Carya</i> spp., and/or <i>Castanea dentata</i>.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study demonstrates that species distribution modeling with historical data provides insights into presettlement vegetation and vegetation-environment relationships. Our results reveal striking ecological patterns not apparent in today's landscape, such as the sharp difference in vegetation between the Central Lowland and Allegheny Plateau. The maps created here offer a historical perspective that can inform conservation, education, and further research.</p>\n </section>\n </div>","PeriodicalId":49965,"journal":{"name":"Journal of Vegetation Science","volume":"36 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jvs.70007","citationCount":"0","resultStr":"{\"title\":\"Presettlement Tree Distributions and Forest Types of Northeast Ohio, USA, Mapped With Species Distribution Models\",\"authors\":\"Kathryn M. Flinn, Zachary Litwinowicz, Tylor P. Mahany, James I. Watling\",\"doi\":\"10.1111/jvs.70007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Questions</h3>\\n \\n <p>European colonization radically transformed the landscapes of eastern North America. Understanding this legacy is vital to managing current ecological communities. To do so requires spatially explicit information about presettlement vegetation. Here we test the ability of species distribution models, which have rarely been used with historical data like land survey records, to generate useful predictions of presettlement tree distributions. These models also allow us to assess pre-disturbance vegetation-environment relationships.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Location</h3>\\n \\n <p>Cuyahoga County, Ohio, USA.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Generalized linear models, generalized boosting models, random forests, and maximum entropy models related the distributions of 17 tree taxa to elevation, slope, aspect, and soil type, based on 4234 tree observations from circa-1800 surveys. Cluster analysis defined forest types and created a prediction map of forest types using random forests.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>This study generated high-resolution predictions of presettlement tree distributions. <i>Fagus grandifolia</i> and <i>Carya</i> spp. were predicted to have found suitable habitat in over half the area. Elevation was by far the most important predictor, followed by slope. Many taxa were more likely to occur at higher elevations, corresponding to the Allegheny Plateau, while others followed river valleys. Broadly, 51% of the county was predicted to support forest types with <i>Fagus grandifolia</i> and/or <i>Acer</i> spp., and 48% of the county was predicted to support forest types with <i>Quercus</i> spp., <i>Carya</i> spp., and/or <i>Castanea dentata</i>.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study demonstrates that species distribution modeling with historical data provides insights into presettlement vegetation and vegetation-environment relationships. Our results reveal striking ecological patterns not apparent in today's landscape, such as the sharp difference in vegetation between the Central Lowland and Allegheny Plateau. 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Presettlement Tree Distributions and Forest Types of Northeast Ohio, USA, Mapped With Species Distribution Models
Questions
European colonization radically transformed the landscapes of eastern North America. Understanding this legacy is vital to managing current ecological communities. To do so requires spatially explicit information about presettlement vegetation. Here we test the ability of species distribution models, which have rarely been used with historical data like land survey records, to generate useful predictions of presettlement tree distributions. These models also allow us to assess pre-disturbance vegetation-environment relationships.
Location
Cuyahoga County, Ohio, USA.
Methods
Generalized linear models, generalized boosting models, random forests, and maximum entropy models related the distributions of 17 tree taxa to elevation, slope, aspect, and soil type, based on 4234 tree observations from circa-1800 surveys. Cluster analysis defined forest types and created a prediction map of forest types using random forests.
Results
This study generated high-resolution predictions of presettlement tree distributions. Fagus grandifolia and Carya spp. were predicted to have found suitable habitat in over half the area. Elevation was by far the most important predictor, followed by slope. Many taxa were more likely to occur at higher elevations, corresponding to the Allegheny Plateau, while others followed river valleys. Broadly, 51% of the county was predicted to support forest types with Fagus grandifolia and/or Acer spp., and 48% of the county was predicted to support forest types with Quercus spp., Carya spp., and/or Castanea dentata.
Conclusions
This study demonstrates that species distribution modeling with historical data provides insights into presettlement vegetation and vegetation-environment relationships. Our results reveal striking ecological patterns not apparent in today's landscape, such as the sharp difference in vegetation between the Central Lowland and Allegheny Plateau. The maps created here offer a historical perspective that can inform conservation, education, and further research.
期刊介绍：
The Journal of Vegetation Science publishes papers on all aspects of plant community ecology, with particular emphasis on papers that develop new concepts or methods, test theory, identify general patterns, or that are otherwise likely to interest a broad international readership. Papers may focus on any aspect of vegetation science, e.g. community structure (including community assembly and plant functional types), biodiversity (including species richness and composition), spatial patterns (including plant geography and landscape ecology), temporal changes (including demography, community dynamics and palaeoecology) and processes (including ecophysiology), provided the focus is on increasing our understanding of plant communities. The Journal publishes papers on the ecology of a single species only if it plays a key role in structuring plant communities. Papers that apply ecological concepts, theories and methods to the vegetation management, conservation and restoration, and papers on vegetation survey should be directed to our associate journal, Applied Vegetation Science journal.
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