作者: Rick D. Stuart-Smith , Graham J. Edgar , Neville S. Barrett , Stuart J. Kininmonth , Amanda E. Bates
DOI: 10.1038/NATURE16144
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摘要: A critical assumption underlying projections of biodiversity change associated with global warming is that ecological communities comprise balanced mixes warm-affinity and cool-affinity species which, on average, approximate local environmental temperatures. Nevertheless, here we find most shallow water marine occupy broad thermal distributions are aggregated in either temperate or tropical realms. These distributional trends result ocean-scale spatial biases, where dominated by warmer cooler affinity than We use community-level deviations from temperatures as a form sensitivity to warming, combine these projected ocean data predict warming-related loss present-day over the next century. Large changes composition appear likely, proximity limits, inferred species' ranges, outweighs variation rates contributing predicted loss.