Spatial and temporal representation of marine fish occurrences available online DOI Creative Commons

Vanessa Pizarro,

Andrea Castillo, Andrea Piñones

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 79, P. 102403 - 102403

Published: Dec. 7, 2023

Despite the 243,000 marine species described by 2022, our knowledge about oceanic biodiversity is still incomplete. This gap carries potentially adverse and far-reaching consequences for preservation of ecosystems, particularly in context ongoing human-induced alterations to biosphere rapid progression climate change global environmental shifts. Recently, however, a large number online repositories have emerged, which catalogue, store distribute information, including taxonomic occurrence data. FishBase, Global Biodiversity Information Facility (GBIF) Ocean System (OBIS) are part these publicly available representing variety sources that exploded number. However, despite incredible accumulation records, not all information actually useful, nor does it represent any new regarding richness patterns. In this study, we assessed spatial temporal representativeness fish records (order Actinopterygii) found GBIF OBIS repositories. The methodological framework developed relies on series non-parametric estimators computing from incidence methodology employs hexagonal grids as sampling units overlay bioregions across globe. Using standard ecological analysis tools, identify regions adequately represented terms therefore more reliable data, well with few do current richness. We overlap results location protected areas fishing exploitation zones understand anthropogenic effect ichthyofauna. additionally evaluate hypotheses taxonomic, geographic, distribution biases deepen understanding public occurrences worldwide. Considering than 40 years was analyzed, showed that, scale, primary data platforms far being representative complete. Only 1.14% were useful analyses. addition, seems be biased towards coastal areas, close countries, where there activity. Finally, best families those small body size, use shallow habitats usually recognized having commercial or cultural value.

Language: Английский

Developing a Southern Ocean Marine Ecosystem Model Ensemble To Assess Climate Risks and Uncertainties DOI Open Access
Kieran Murphy, Denisse Fierro‐Arcos, Tyler Rohr

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: May 15, 2024

Climate change could irreversibly modify Southern Ocean ecosystems. Marine ecosystem model (MEM) ensembles can assist policy making by projecting future changes and allowing the evaluation assessment of alternative management approaches. However, projected in total consumer biomass from Fisheries Ecosystem Model Intercomparison Project (FishMIP) global MEM ensemble highlight an uncertain for Ocean, indicating need a region-specific ensemble. A large source uncertainty originates Earth system models (ESMs) used to force FishMIP models, particularly lower trophic level sea ice coverage. To build confidence regional MEMs as ecosystem-based tools changing climate that better account uncertainty, we propose development Ensemble (SOMEME) contributing 2.0 intercomparison initiative. One challenges hampering progress is achieving balance standardised inputs with relevance. As first step, design SOMEME simulation protocol, builds on extends existing framework, stages include: detailed skill forcing variables regions, extension fishing data include whaling, new simulations assess ecological links sea-ice processes candidate MEMs. These extensions will help advance assessments urgently needed impacts

Language: Английский

Citations

6
Antarctic benthic ecological change DOI
Huw J. Griffiths, Vonda J. Cummings, Anton Van de Putte

et al.

Nature Reviews Earth & Environment, Journal Year: 2024, Volume and Issue: 5(9), P. 645 - 664

Published: Sept. 3, 2024

Language: Английский

Citations

4
Realising the potential of interoperable data products to improve the outlook for marine biodiversity: Lessons from the European marine observation and data network DOI Creative Commons
Thomas J. Webb, Joana Beja, Salvador Jesús Fernández Bejarano

et al.

Marine Policy, Journal Year: 2025, Volume and Issue: 173, P. 106578 - 106578

Published: Jan. 8, 2025

Language: Английский

Citations

0
Developing a Southern Ocean Marine Ecosystem Model Ensemble to Assess Climate Risks and Uncertainties DOI Creative Commons
Kieran Murphy, Denisse Fierro‐Arcos, Tyler Rohr

et al.

Earth s Future, Journal Year: 2025, Volume and Issue: 13(3)

Published: March 1, 2025

Abstract Climate change could irreversibly modify Southern Ocean ecosystems. Marine ecosystem model (MEM) ensembles can assist policy making by projecting future changes and allowing the evaluation assessment of alternative management approaches. However, projected in total consumer biomass from Fisheries Ecosystem Model Intercomparison Project (FishMIP) global MEM ensemble highlight an uncertain for Ocean, indicating need a region‐specific ensemble. A large source uncertainty originates Earth system models used to force FishMIP models, particularly lower trophic level sea‐ice coverage. To build confidence regional MEMs as ecosystem‐based tools changing climate that better account uncertainty, we propose development Ensemble (SOMEME) contributing 2.0 intercomparison initiative. One challenges hampering progress is achieving balance standardised inputs with relevance. As first step, design SOMEME simulation protocol, builds on extends existing framework, stages include: detailed skill forcing variables regions, extension fishing data include whaling, new simulations assess ecological links processes candidate MEMs. These extensions will help advance assessments urgently needed impacts

Language: Английский

Citations

0
Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding DOI Creative Commons
Loïc Jacquemot, Brian P. V. Hunt,

Shaorong Li

et al.

Environmental DNA, Journal Year: 2024, Volume and Issue: 6(6)

Published: Nov. 1, 2024

ABSTRACT Marine biodiversity worldwide is rapidly declining, and nowhere this more evident than in coastal ecosystems where the impacts of climate change anthropogenic activities concentrate. The ongoing crisis affects all components marine food web, but data required to monitor shifts at continental scales are scarce taxonomically spatially heterogeneous. application environmental DNA metabarcoding can complement traditional approaches monitoring biodiversity, its efficiency detecting large‐scale biogeographic breaks remains be tested. Using 86 surface water samples collected during Canada C3 expedition summer 2017, we investigated metazoan across Canada's three oceans—North Pacific, Arctic North Atlantic—using multi‐marker eDNA metabarcoding. resulting dataset, combining information from seven separate amplicons, identified 1477 unique species ranging zooplankton mammals. We found that around separated into four clusters overlapped with known ecoregions, indicating a higher connectivity between Atlantic Pacific clusters. However, detection salmon Canadian suggests these may extending their distribution range poleward. By comparing occurrence recorded Ocean Biodiversity Information System (OBIS) for Alaska waters, 324 “unexpected” species. These results demonstrate importance primer selection species‐specific applications provide benchmark further work aimed validating identification map large spatial scale. Our showed powerful method an interoceanic Integrating programs valuable insights changes associated contribute filling gaps species‐at‐risk.

Language: Английский

Citations

2
Optimal biodiversity survey: Where to survey biodiversity in terrestrial Antarctica DOI Creative Commons

Xiang Zhao

Published: Jan. 1, 2024

To effectively conserve Antarctica's unique biodiversity and habitats, high-quality, comprehensive data is crucial. However, such are often incomplete biased. My thesis presents the first continent-wide assessment of spatial biases in region, revealing complex factors influencing survey locations beyond mere proximity to research stations. I also introduce a pioneering approach optimising future surveys amid limited resources, proposing designs that balance cost, coverage, existing biases. This work highlights importance strategic planning Antarctica offers model for improving collection biogeographical data.

Language: Английский

Citations

0
Spatial and temporal representation of marine fish occurrences available online DOI Creative Commons

Vanessa Pizarro,

Andrea Castillo, Andrea Piñones

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 79, P. 102403 - 102403

Published: Dec. 7, 2023

Despite the 243,000 marine species described by 2022, our knowledge about oceanic biodiversity is still incomplete. This gap carries potentially adverse and far-reaching consequences for preservation of ecosystems, particularly in context ongoing human-induced alterations to biosphere rapid progression climate change global environmental shifts. Recently, however, a large number online repositories have emerged, which catalogue, store distribute information, including taxonomic occurrence data. FishBase, Global Biodiversity Information Facility (GBIF) Ocean System (OBIS) are part these publicly available representing variety sources that exploded number. However, despite incredible accumulation records, not all information actually useful, nor does it represent any new regarding richness patterns. In this study, we assessed spatial temporal representativeness fish records (order Actinopterygii) found GBIF OBIS repositories. The methodological framework developed relies on series non-parametric estimators computing from incidence methodology employs hexagonal grids as sampling units overlay bioregions across globe. Using standard ecological analysis tools, identify regions adequately represented terms therefore more reliable data, well with few do current richness. We overlap results location protected areas fishing exploitation zones understand anthropogenic effect ichthyofauna. additionally evaluate hypotheses taxonomic, geographic, distribution biases deepen understanding public occurrences worldwide. Considering than 40 years was analyzed, showed that, scale, primary data platforms far being representative complete. Only 1.14% were useful analyses. addition, seems be biased towards coastal areas, close countries, where there activity. Finally, best families those small body size, use shallow habitats usually recognized having commercial or cultural value.

Language: Английский

Citations

1