Using global occurrence data to predict suitable habitats for widely distributed marine species in data-scarce regions

Biodiversity and Conservation, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

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Spatio-Temporal Distribution of Four Trophically Dependent Fishery Species in the Northern China Seas Under Climate Change

Biology, Journal Year: 2025, Volume and Issue: 14(2), P. 168 - 168

Published: Feb. 7, 2025

Climate change is a major challenge affecting marine environments, making it essential to understand species distribution responses in both time and space for effective conservation strategies. Meanwhile, varying of climate may lead changes interspecific relationships future spatial distributions. This study assessed temporal distributions four trophically dependent economic importance the China seas, including largehead hairtail (Trichiurus lepturus), Spanish mackerel (Scomberomorus niphonius), chub (Scomber japonicus), anchovy (Engraulis japonicus). By incorporating fishery-dependent survey data environmental variables, we developed spatio-temporal mixed-effects model analyze distributional correlations among these predicted their by end century under different scenarios. The results showed that selected factors influenced encounter probability catch rates differently. Predictions representative concentration pathways (RCPs) 2.6 RCP8.5 suggested significant shifts population densities, with like T. lepturus S. niphonius experiencing reduced densities altered patterns, while E. japonicus benefit from change. center gravity most was projected shift northward year 2050, notable variations RCP8.5. Additionally, overlap expected decrease significantly 2100, indicating increasing divergence underscores effects on habitat offers scientific basis protection.

Language: Английский

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Future climate-driven habitat loss and range shift of the Critically Endangered whitefin swellshark (Cephaloscyllium albipinnum)

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e18787 - e18787

Published: Feb. 20, 2025

Climate change is driving many species to shift their geographical ranges poleward maintain environmental niche. However, for endemic with restricted ranges, like the Critically Endangered whitefin swellshark (Cephaloscyllium albipinnum), southeastern Australia, such dispersal may be limited. Nevertheless, there a poor understanding of how C. albipinnum might spatially adjust its distribution in response climate or whether suitable refugia exist this future. Therefore, address gap, study utilised maximum entropy (MaxEnt) modelling determine potential habitat under present-day (2010-2020) conditions and future conditions, six shared socioeconomic pathways (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-6.0 SSP5-8.5) middle (2040-2050) end (2090-2100) century. Under (2010-2020), our model predicted core potentially within Great Australian Bight (GAB), benthic primary productivity surface ocean temperature identified as key drivers. all SSP scenarios, projections indicated an expected range at least 72 km, up 1,087 km east-southeast direction towards Tasmania (TAS). In scenarios (except SSP1-1.9 by 2100), decline, especially high-emission scenario (SSP5-8.5), which anticipates loss over 70% habitat. Consequently, 2100) projected decrease currently designated marine protected area (MPA). These losses ranged from 0.6% 2050 substantial 89.7% coverage SSP5-8.5 2100, leaving just 2.5% remaining MPAs. With already facing high risk extinction, these findings underscore vulnerability change. Our results highlight urgency implementing adaptive conservation measures management strategies that consider impacts on species.

Language: Английский

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Novel use of global occurrence data to indirectly predict suitable habitats for widely distributed marine species in data-scarce regions

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 19, 2024

Abstract This study addresses the challenge of advancing habitat use knowledge widely distributed marine species populations when regional data is scarce. To achieve this, we an innovative approach based on ecological niche models (ENMs) calibrated with global presence to estimate species, allowing for indirect predictions suitable habitats and potential distribution in one or more regions interest. The method leverages a range occurrence records, including scientific papers, government data, biodiversity repositories, citizen science contributions, overcome scarcity, which are then integrated environmental variables predict suitability. As case study, apply this copper ( Carcharhinus brachyurus ) sand tiger Carcharias taurus sharks Southwest Atlantic, two conservation concern region limited data. Suitable both were predicted, information required guide efforts. Environmental factors key shaping predicted patterns these large predatory sharks, aligning previous historical records their latitudinal ranges. results have significant implications planning sustainable management shark contributing broader efforts preservation. Additionally, highlights ENMs identify essential even absence effort underscoring value conservation. not only advances modelling systems but also demonstrates its applicability area-based initiatives, particularly data-poor regions.

Language: Английский

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