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在全球范围内模拟气候变化对浅海海洋鱼类热栖息地适宜性的影响。

Modelling the impacts of climate change on thermal habitat suitability for shallow-water marine fish at a global scale.

机构信息

The Scottish Association for Marine Science, Scottish Marine Institute, Dunstaffnage, Oban, Argyll, Scotland.

出版信息

PLoS One. 2021 Oct 4;16(10):e0258184. doi: 10.1371/journal.pone.0258184. eCollection 2021.

Abstract

Understanding and predicting the response of marine communities to climate change at large spatial scales, and distilling this information for policymakers, are prerequisites for ecosystem-based management. Changes in thermal habitat suitability across species' distributions are especially concerning because of their implications for abundance, affecting species' conservation, trophic interactions and fisheries. However, most predictive studies of the effects of climate change have tended to be sub-global in scale and focused on shifts in species' range edges or commercially exploited species. Here, we develop a widely applicable methodology based on climate response curves to predict global-scale changes in thermal habitat suitability. We apply the approach across the distributions of 2,293 shallow-water fish species under Representative Concentration Pathways 4.5 and 8.5 by 2050-2100. We find a clear pattern of predicted declines in thermal habitat suitability in the tropics versus general increases at higher latitudes. The Indo-Pacific, the Caribbean and western Africa emerge as the areas of most concern, where high species richness and the strongest declines in thermal habitat suitability coincide. This reflects a pattern of consistently narrow thermal ranges, with most species in these regions already exposed to temperatures above inferred thermal optima. In contrast, in temperate regions, such as northern Europe, where most species live below thermal optima and thermal ranges are wider, positive changes in thermal habitat suitability suggest that these areas are likely to emerge as the greatest beneficiaries of climate change, despite strong predicted temperature increases.

摘要

在大空间尺度上理解和预测海洋生物群落对气候变化的响应,并为政策制定者提炼这些信息,是基于生态系统的管理的前提。由于物种分布的热栖息地适宜性变化对生物量的影响,对物种的保护、营养相互作用和渔业产生影响,因此尤其令人担忧。然而,大多数关于气候变化影响的预测研究往往在次全球范围内进行,并且侧重于物种分布范围边缘的变化或商业开发物种。在这里,我们开发了一种广泛适用的基于气候响应曲线的方法,用于预测全球尺度上热栖息地适宜性的变化。我们应用该方法来预测在代表性浓度路径 4.5 和 8.5 下,到 2050-2100 年,2293 种浅海水域鱼类物种的分布范围的变化。我们发现,热带地区的热栖息地适宜性预计会明显下降,而高纬度地区的热栖息地适宜性普遍增加。印度洋-太平洋、加勒比海和西非地区成为最令人关注的地区,那里物种丰富度高,热栖息地适宜性下降幅度最大。这反映了一种热范围始终较窄的模式,这些地区的大多数物种已经暴露在高于推测的热最佳温度的温度下。相比之下,在温带地区,如北欧,大多数物种生活在热最佳温度以下,热范围较宽,热栖息地适宜性的积极变化表明,尽管预测的温度升高强烈,这些地区可能成为气候变化的最大受益者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/826f/8489719/c39e38352105/pone.0258184.g001.jpg

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