Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.

A proactive approach to conservation must be predictive, anticipating how habitats will change and which species are likely to decline or prosper. We use composite species distribution modeling to identify suitable habitats for 18 members of the North American Atlantic Coastal Plain Flora (ACPF) sin...

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Bibliographic Details
Main Authors: Spalink, Daniel, MacKay, Ron, Sytsma, Kenneth J.
Format: Dataset
Language:English
Published: Dryad 2018
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.b4dn0mn
http://datadryad.org/stash/dataset/doi:10.5061/dryad.b4dn0mn
id ftdatacite:10.5061/dryad.b4dn0mn
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spelling ftdatacite:10.5061/dryad.b4dn0mn 2023-05-15T16:41:19+02:00 Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change. Spalink, Daniel MacKay, Ron Sytsma, Kenneth J. 2018 https://dx.doi.org/10.5061/dryad.b4dn0mn http://datadryad.org/stash/dataset/doi:10.5061/dryad.b4dn0mn en eng Dryad https://dx.doi.org/10.1111/mec.15006 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 SNAPP Community modeling Quaternary genotyping-by-sequencing RASE niche modeling Scirpus longii dataset Dataset 2018 ftdatacite https://doi.org/10.5061/dryad.b4dn0mn https://doi.org/10.1111/mec.15006 2022-02-08T12:53:43Z A proactive approach to conservation must be predictive, anticipating how habitats will change and which species are likely to decline or prosper. We use composite species distribution modeling to identify suitable habitats for 18 members of the North American Atlantic Coastal Plain Flora (ACPF) since the Last Glacial Maximum and project these into the future. We then use Scirpus longii (Cyperaceae), a globally imperiled ACPF sedge with many of the characteristics of extinction vulnerability, as a case study. We integrate phylogeographic and population genetic analyses and species distribution modeling to develop a broad view of its current condition and prognosis for conservation. We use genotyping-by-sequencing to characterize the genomes of 142 S. longii individuals from twenty populations distributed throughout its range (New Jersey to Nova Scotia). We measure the distribution of genetic diversity in the species and reconstruct its phylogeographic history using SNAPP and RASE. Extant populations of S. longii originated from a single refugium south of the Laurentide ice sheet around 25 thousand years ago. The genetic diversity of S. longii is exceedingly low, populations exhibit little genetic structure, and the species is slightly inbred. Projected climate scenarios indicate that nearly half of extant populations of S. longii will be exposed to unsuitable climate by 2070. Similar changes in suitable habitat will occur for many other northern ACPF species – centers of diversity will shift northward and Nova Scotia may become the last refuges for those species not extinguished. : Scirpus_longii_SNPSNexus alignment of SNPs from all sequenced individuals of Scirpus long.MAXENT_input_distributionsSpecies distribution data used for MAXENT species distribution modeling. Dataset Ice Sheet DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic SNAPP
Community modeling
Quaternary
genotyping-by-sequencing
RASE
niche modeling
Scirpus longii
spellingShingle SNAPP
Community modeling
Quaternary
genotyping-by-sequencing
RASE
niche modeling
Scirpus longii
Spalink, Daniel
MacKay, Ron
Sytsma, Kenneth J.
Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
topic_facet SNAPP
Community modeling
Quaternary
genotyping-by-sequencing
RASE
niche modeling
Scirpus longii
description A proactive approach to conservation must be predictive, anticipating how habitats will change and which species are likely to decline or prosper. We use composite species distribution modeling to identify suitable habitats for 18 members of the North American Atlantic Coastal Plain Flora (ACPF) since the Last Glacial Maximum and project these into the future. We then use Scirpus longii (Cyperaceae), a globally imperiled ACPF sedge with many of the characteristics of extinction vulnerability, as a case study. We integrate phylogeographic and population genetic analyses and species distribution modeling to develop a broad view of its current condition and prognosis for conservation. We use genotyping-by-sequencing to characterize the genomes of 142 S. longii individuals from twenty populations distributed throughout its range (New Jersey to Nova Scotia). We measure the distribution of genetic diversity in the species and reconstruct its phylogeographic history using SNAPP and RASE. Extant populations of S. longii originated from a single refugium south of the Laurentide ice sheet around 25 thousand years ago. The genetic diversity of S. longii is exceedingly low, populations exhibit little genetic structure, and the species is slightly inbred. Projected climate scenarios indicate that nearly half of extant populations of S. longii will be exposed to unsuitable climate by 2070. Similar changes in suitable habitat will occur for many other northern ACPF species – centers of diversity will shift northward and Nova Scotia may become the last refuges for those species not extinguished. : Scirpus_longii_SNPSNexus alignment of SNPs from all sequenced individuals of Scirpus long.MAXENT_input_distributionsSpecies distribution data used for MAXENT species distribution modeling.
format Dataset
author Spalink, Daniel
MacKay, Ron
Sytsma, Kenneth J.
author_facet Spalink, Daniel
MacKay, Ron
Sytsma, Kenneth J.
author_sort Spalink, Daniel
title Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
title_short Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
title_full Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
title_fullStr Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
title_full_unstemmed Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
title_sort data from: phylogeography, population genetics, and distribution modeling reveal vulnerability of scirpus longii (cyperaceae) and the atlantic coastal plain flora to climate change.
publisher Dryad
publishDate 2018
url https://dx.doi.org/10.5061/dryad.b4dn0mn
http://datadryad.org/stash/dataset/doi:10.5061/dryad.b4dn0mn
genre Ice Sheet
genre_facet Ice Sheet
op_relation https://dx.doi.org/10.1111/mec.15006
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.b4dn0mn
https://doi.org/10.1111/mec.15006
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