A New Method for Integrating Ecological Niche Modeling with Phylogenetics to Estimate Ancestral Distributions. (15th March 2021)
- Record Type:
- Journal Article
- Title:
- A New Method for Integrating Ecological Niche Modeling with Phylogenetics to Estimate Ancestral Distributions. (15th March 2021)
- Main Title:
- A New Method for Integrating Ecological Niche Modeling with Phylogenetics to Estimate Ancestral Distributions
- Authors:
- Guillory, Wilson X
Brown, Jason L - Editors:
- Smith, Stephen
- Abstract:
- Abstract: Ancestral range estimation and projection of niche models into the past have both become common in evolutionary studies where the ancient distributions of organisms are in question. However, these methods are hampered by complementary hurdles: discrete characterization of areas in ancestral range estimation can be overly coarse, especially at shallow timescales, and niche model projection neglects evolution. Phylogenetic niche modeling accounts for both of these issues by incorporating knowledge of evolutionary relationships into a characterization of environmental tolerances. We present a new method for phylogenetic niche modeling, implemented in R. Given past and present climate data, taxon occurrence data, and a time-calibrated phylogeny, our method constructs niche models for each extant taxon, uses ancestral character estimation to reconstruct ancestral niche models, and projects these models into paleoclimate data to provide a historical estimate of the geographic range of a lineage. Models either at nodes or along branches of the phylogeny can be estimated. We demonstrate our method on a small group of dendrobatid frogs and show that it can make inferences given species with restricted ranges and little occurrence data. We also use simulations to show that our method can reliably reconstruct the niche of a known ancestor in both geographic and environmental space. Our method brings together fields as disparate as ecological niche modeling, phylogenetics, andAbstract: Ancestral range estimation and projection of niche models into the past have both become common in evolutionary studies where the ancient distributions of organisms are in question. However, these methods are hampered by complementary hurdles: discrete characterization of areas in ancestral range estimation can be overly coarse, especially at shallow timescales, and niche model projection neglects evolution. Phylogenetic niche modeling accounts for both of these issues by incorporating knowledge of evolutionary relationships into a characterization of environmental tolerances. We present a new method for phylogenetic niche modeling, implemented in R. Given past and present climate data, taxon occurrence data, and a time-calibrated phylogeny, our method constructs niche models for each extant taxon, uses ancestral character estimation to reconstruct ancestral niche models, and projects these models into paleoclimate data to provide a historical estimate of the geographic range of a lineage. Models either at nodes or along branches of the phylogeny can be estimated. We demonstrate our method on a small group of dendrobatid frogs and show that it can make inferences given species with restricted ranges and little occurrence data. We also use simulations to show that our method can reliably reconstruct the niche of a known ancestor in both geographic and environmental space. Our method brings together fields as disparate as ecological niche modeling, phylogenetics, and ancestral range estimation in a user-friendly package. [Ancestral range estimation; ancestral state reconstruction; biogeography; Dendrobatidae; ecological niche modeling; paleoclimate; phylogeography; species distribution modeling.] … (more)
- Is Part Of:
- Systematic biology. Volume 70:Number 5(2021)
- Journal:
- Systematic biology
- Issue:
- Volume 70:Number 5(2021)
- Issue Display:
- Volume 70, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 70
- Issue:
- 5
- Issue Sort Value:
- 2021-0070-0005-0000
- Page Start:
- 1033
- Page End:
- 1045
- Publication Date:
- 2021-03-15
- Subjects:
- Biology -- Classification -- Periodicals
Biology -- Periodicals
Biologie -- Classification -- Périodiques
Biologie -- Périodiques
578.012 - Journal URLs:
- http://ukcatalogue.oup.com/ ↗
- DOI:
- 10.1093/sysbio/syab016 ↗
- Languages:
- English
- ISSNs:
- 1063-5157
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8589.180700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25251.xml