Data from: Using fuzzy logic to determine the vulnerability of marine species to climate change ...
Marine species are being impacted by climate change and ocean acidification, although their level of vulnerability varies due to differences in species' sensitivity, adaptive capacity and exposure to climate hazards. Due to limited data on the biological and ecological attributes of many marine...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2018
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.9dc21 https://datadryad.org/stash/dataset/doi:10.5061/dryad.9dc21 |
| Summary: | Marine species are being impacted by climate change and ocean acidification, although their level of vulnerability varies due to differences in species' sensitivity, adaptive capacity and exposure to climate hazards. Due to limited data on the biological and ecological attributes of many marine species, as well as inherent uncertainties in the assessment process, climate change vulnerability assessments in the marine environment frequently focus on a limited number of taxa or geographic ranges. As climate change is already impacting marine biodiversity and fisheries, there is an urgent need to expand vulnerability assessment to cover a large number of species and areas. Here, we develop a modelling approach to synthesize data on species-specific estimates of exposure, and ecological and biological traits to undertake an assessment of vulnerability (sensitivity and adaptive capacity) and risk of impacts (combining exposure to hazards and vulnerability) of climate change (including ocean acidification) for ... : Estimated vulnerability and risk of impactsData table that contains species name, the estimated vulnerability index and risk of impact index under the RCP 8.5 scenario.Jones_Cheung_SDATA.csv ... |
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