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Integrating genomic data and simulations to evaluate alternative species distribution models and imp...

Integrating genomic data and simulations to evaluate alternative species distribution models and imp...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3173341413

Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change

About this item

Full title

Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change

Publisher

Oxford, UK: Blackwell Publishing Ltd

Journal title

Ecography (Copenhagen), 2025-03, Vol.2025 (3), p.n/a

Language

English

Formats

Publication information

Publisher

Oxford, UK: Blackwell Publishing Ltd

More information

Scope and Contents

Contents

Climate change poses a threat to biodiversity, and it is unclear whether species can adapt to or tolerate new conditions, or migrate to areas with suitable habitats. Reconstructions of range shifts that occurred in response to environmental changes since the last glacial maximum (LGM) from species distribution models (SDMs) can provide useful data...

Alternative Titles

Full title

Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3173341413

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3173341413

Other Identifiers

ISSN

0906-7590

E-ISSN

1600-0587

DOI

10.1111/ecog.07196

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