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首页> 外文期刊>Global change biology >Modelling the effects of climate change on the distribution and production of marine fishes: accounting for trophic interactions in a dynamic bioclimate envelope model.
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Modelling the effects of climate change on the distribution and production of marine fishes: accounting for trophic interactions in a dynamic bioclimate envelope model.

机译:模拟气候变化对海水鱼类分布和生产的影响:在动态生物气候包络模型中考虑营养相互作用。

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Climate change has already altered the distribution of marine fishes. Future predictions of fish distributions and catches based on bioclimate envelope models are available, but to date they have not considered interspecific interactions. We address this by combining the species-based Dynamic Bioclimate Envelope Model (DBEM) with a size-based trophic model. The new approach provides spatially and temporally resolved predictions of changes in species' size, abundance and catch potential that account for the effects of ecological interactions. Predicted latitudinal shifts are, on average, reduced by 20% when species interactions are incorporated, compared to DBEM predictions, with pelagic species showing the greatest reductions. Goodness-of-fit of biomass data from fish stock assessments in the North Atlantic between 1991 and 2003 is improved slightly by including species interactions. The differences between predictions from the two models may be relatively modest because, at the North Atlantic basin scale, (i) predators and competitors may respond to climate change together; (ii) existing parameterization of the DBEM might implicitly incorporate trophic interactions; and/or (iii) trophic interactions might not be the main driver of responses to climate. Future analyses using ecologically explicit models and data will improve understanding of the effects of inter-specific interactions on responses to climate change, and better inform managers about plausible ecological and fishery consequences of a changing environment.
机译:气候变化已经改变了海水鱼类的分布。可以根据生物气候包络模型对鱼的分布和捕捞量进行未来的预测,但是到目前为止,它们还没有考虑种间相互作用。我们通过将基于物种的动态生物气候信封模型(DBEM)与基于大小的营养模型相结合来解决此问题。新方法提供了物种大小,丰度和捕获潜力变化的时空解析预测,这些变化解释了生态相互作用的影响。与DBEM预测相比,当结合物种相互作用时,预测的纬度平移平均减少了20%,其中远洋物种的减少最大。通过纳入物种相互作用,1991年至2003年间北大西洋鱼类种群评估得到的生物量数据的拟合优度略有提高。两种模式的预测之间的差异可能相对较小,因为在北大西洋盆地范围内,(i)捕食者和竞争者可能共同应对气候变化; (ii)DBEM的现有参数化可能隐式包含营养相互作用; (iii)营养相互作用可能不是应对气候变化的主要动力。未来使用生态学明确的模型和数据进行的分析将增进对种间相互作用对气候变化响应的影响的了解,并更好地向管理人员告知环境变化可能造成的生态和渔业后果。

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