Differences in predictions of marine species distribution models based on expert maps and opportunistic occurrences

Conservation Biology, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Species distribution models (SDMs) are important tools for assessing biodiversity change. These require high-quality occurrence data, which not always available. Therefore, it is increasingly to determine how data choice affects predictions of species' ranges. Opportunistic records and expert maps both widely used sources species SDMs. However, unclear SDMs based on these differ in performance, particularly the marine realm. We built 233 fish from 2 families with types compared their performances potential predictions. occurrences were sourced field surveys South China Sea online repositories International Union Conservation Nature Red List database. generalized linear explore drivers differences prediction between model types. When projecting distinct regions no calibrated using opportunistic performed better than those maps, indicating transferability new environments. Differences predictor values accounted dissimilarity predictions, likely because included large areas unsuitable environmental conditions. Dissimilarity levels among differed, suggesting a taxonomic bias sources. Our findings highlight sensitivity distributional data. Although have an role modeling, we suggest researchers assess accuracy reduce commission errors knowledge target species.

Язык: Английский

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Mapping the potential for global offshore finfish mariculture

Marine Life Science & Technology, Год журнала: 2024, Номер 6(4), С. 651 - 664

Опубликована: Ноя. 6, 2024

Язык: Английский

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Genomics‐Informed Range Predictions Under Global Warming Reveal Reduced Adaptive Diversity Whilst Buffering Range Shifts for a Marine Snail

Global Change Biology, Год журнала: 2024, Номер 30(11)

Опубликована: Ноя. 1, 2024

Understanding the genetic basis of local adaptation in thermal performance is useful for predicting species distribution shifts under anthropogenic climate change. Many are distributed across multiple biogeographic regions, and uniquely adapted populations each region may respond to future ocean warming with distinct changes. In present study, we investigated phylogeographic patterns, sensitivity, differentiation intertidal snail Littorina brevicula along China's coast. Whole-genome sequencing results based on a newly assembled chromosome-level genome revealed two lineages, north-south divergence that linked environment. Within lineage, individuals could be further subdivided into subgroups differ at key genomic loci underpinning differences upper heat tolerance. Heat stress drives adaptive levels organization, from individual level. Taking account diversity associated variation tolerance, physiological model (pSDM) was applied predict distributions different response Both northern southern lineages were predicted experience declines habitat suitability 4°C scenario, genotypic subset snails lineage even driven extinction. These findings illustrate when species' range maintained, it can nonetheless significant decrease as result The integrated approach presented here, which considered both level within biogeographical context, provided new insights how marine global warming.

Язык: Английский

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Biogeographical shifts and climate change

Elsevier eBooks, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

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