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Current and Future Patterns of Global Marine Mammal Biodiversity

Quantifying the spatial distribution of taxa is an important prerequisite for the preservation of biodiversity, and can provide a baseline against which to measure the impacts of climate change. Here we analyse patterns of marine mammal species richness based on predictions of global distributional...

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Detalles Bibliográficos
Autores principales: Kaschner, Kristin, Tittensor, Derek P., Ready, Jonathan, Gerrodette, Tim, Worm, Boris
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100303/
https://www.ncbi.nlm.nih.gov/pubmed/21625431
http://dx.doi.org/10.1371/journal.pone.0019653
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author Kaschner, Kristin
Tittensor, Derek P.
Ready, Jonathan
Gerrodette, Tim
Worm, Boris
author_facet Kaschner, Kristin
Tittensor, Derek P.
Ready, Jonathan
Gerrodette, Tim
Worm, Boris
author_sort Kaschner, Kristin
collection PubMed
description Quantifying the spatial distribution of taxa is an important prerequisite for the preservation of biodiversity, and can provide a baseline against which to measure the impacts of climate change. Here we analyse patterns of marine mammal species richness based on predictions of global distributional ranges for 115 species, including all extant pinnipeds and cetaceans. We used an environmental suitability model specifically designed to address the paucity of distributional data for many marine mammal species. We generated richness patterns by overlaying predicted distributions for all species; these were then validated against sightings data from dedicated long-term surveys in the Eastern Tropical Pacific, the Northeast Atlantic and the Southern Ocean. Model outputs correlated well with empirically observed patterns of biodiversity in all three survey regions. Marine mammal richness was predicted to be highest in temperate waters of both hemispheres with distinct hotspots around New Zealand, Japan, Baja California, the Galapagos Islands, the Southeast Pacific, and the Southern Ocean. We then applied our model to explore potential changes in biodiversity under future perturbations of environmental conditions. Forward projections of biodiversity using an intermediate Intergovernmental Panel for Climate Change (IPCC) temperature scenario predicted that projected ocean warming and changes in sea ice cover until 2050 may have moderate effects on the spatial patterns of marine mammal richness. Increases in cetacean richness were predicted above 40° latitude in both hemispheres, while decreases in both pinniped and cetacean richness were expected at lower latitudes. Our results show how species distribution models can be applied to explore broad patterns of marine biodiversity worldwide for taxa for which limited distributional data are available.
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spelling pubmed-31003032011-05-27 Current and Future Patterns of Global Marine Mammal Biodiversity Kaschner, Kristin Tittensor, Derek P. Ready, Jonathan Gerrodette, Tim Worm, Boris PLoS One Research Article Quantifying the spatial distribution of taxa is an important prerequisite for the preservation of biodiversity, and can provide a baseline against which to measure the impacts of climate change. Here we analyse patterns of marine mammal species richness based on predictions of global distributional ranges for 115 species, including all extant pinnipeds and cetaceans. We used an environmental suitability model specifically designed to address the paucity of distributional data for many marine mammal species. We generated richness patterns by overlaying predicted distributions for all species; these were then validated against sightings data from dedicated long-term surveys in the Eastern Tropical Pacific, the Northeast Atlantic and the Southern Ocean. Model outputs correlated well with empirically observed patterns of biodiversity in all three survey regions. Marine mammal richness was predicted to be highest in temperate waters of both hemispheres with distinct hotspots around New Zealand, Japan, Baja California, the Galapagos Islands, the Southeast Pacific, and the Southern Ocean. We then applied our model to explore potential changes in biodiversity under future perturbations of environmental conditions. Forward projections of biodiversity using an intermediate Intergovernmental Panel for Climate Change (IPCC) temperature scenario predicted that projected ocean warming and changes in sea ice cover until 2050 may have moderate effects on the spatial patterns of marine mammal richness. Increases in cetacean richness were predicted above 40° latitude in both hemispheres, while decreases in both pinniped and cetacean richness were expected at lower latitudes. Our results show how species distribution models can be applied to explore broad patterns of marine biodiversity worldwide for taxa for which limited distributional data are available. Public Library of Science 2011-05-23 /pmc/articles/PMC3100303/ /pubmed/21625431 http://dx.doi.org/10.1371/journal.pone.0019653 Text en Kaschner et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kaschner, Kristin
Tittensor, Derek P.
Ready, Jonathan
Gerrodette, Tim
Worm, Boris
Current and Future Patterns of Global Marine Mammal Biodiversity
title Current and Future Patterns of Global Marine Mammal Biodiversity
title_full Current and Future Patterns of Global Marine Mammal Biodiversity
title_fullStr Current and Future Patterns of Global Marine Mammal Biodiversity
title_full_unstemmed Current and Future Patterns of Global Marine Mammal Biodiversity
title_short Current and Future Patterns of Global Marine Mammal Biodiversity
title_sort current and future patterns of global marine mammal biodiversity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100303/
https://www.ncbi.nlm.nih.gov/pubmed/21625431
http://dx.doi.org/10.1371/journal.pone.0019653
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