Species distribution models: a genomic perspective without limits DOI
Hanne De Kort, Simon Blanchet, Jonathan Lenoir

и другие.

Authorea (Authorea), Год журнала: 2024, Номер unknown

Опубликована: Авг. 25, 2024

The notion that adaptive evolution markedly shapes species distribution probabilities has pushed for genomics-informed models (gSDMs). These account intraspecific variation and gene flow to enhance the accuracy of range projections. Yet, gSDMs remain encumbered by limitations stemming from substantial sequencing costs a global change mindset skewed towards climate warming, likely resulting in an overly narrow view on genomic vulnerability. Current developments methodologies are paving way transcend spatial temporal constraints. Specifically, ability quantify genome-wide standing genetic across species' ranges unlocks bottom-up gSDM, where projections shaped intrinsic populations evolve response wide array environmental stressors. By integrating range-wide dispersal, drift, demographic history overall potential, promise greater realism robustness addressing full spectrum threats.

Язык: Английский

Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions DOI Creative Commons
Eliza Fragkopoulou, Ester Á. Serrão, Olivier De Clerck

и другие.

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Май 10, 2025

Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecological processes. However, insights into the distribution drivers remain limited, particularly for marine species. Here, we explain predict cold temperate brown macroalgae using data from 29 species a machine-learning algorithm that incorporates contemporary past climate conditions during Last Glacial Maximum (~20,000 years ago) based on niche centroid hypothesis. We apply this model 280 their global diversity. Our results show reduced away centroid, identifying as Regions with high multiple emerge, matching biogeographic richness. The mapped hotspots establish timely baselines biogeography, potential conservation, contributing Post-2020 Biodiversity Framework.

Язык: Английский

Процитировано

0
Evaluating different approaches to integrate genome-wide genetic diversity in spatial conservation prioritization DOI
Marco Andrello, Stéphanie Manel

Biological Conservation, Год журнала: 2024, Номер 292, С. 110533 - 110533

Опубликована: Март 26, 2024

Язык: Английский

Процитировано

1
Species distribution models: a genomic perspective without limits DOI
Hanne De Kort, Simon Blanchet, Jonathan Lenoir

и другие.

Authorea (Authorea), Год журнала: 2024, Номер unknown

Опубликована: Авг. 25, 2024

The notion that adaptive evolution markedly shapes species distribution probabilities has pushed for genomics-informed models (gSDMs). These account intraspecific variation and gene flow to enhance the accuracy of range projections. Yet, gSDMs remain encumbered by limitations stemming from substantial sequencing costs a global change mindset skewed towards climate warming, likely resulting in an overly narrow view on genomic vulnerability. Current developments methodologies are paving way transcend spatial temporal constraints. Specifically, ability quantify genome-wide standing genetic across species' ranges unlocks bottom-up gSDM, where projections shaped intrinsic populations evolve response wide array environmental stressors. By integrating range-wide dispersal, drift, demographic history overall potential, promise greater realism robustness addressing full spectrum threats.

Язык: Английский

Процитировано

0