Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf

Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf
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描述气候影响预测的不确定性:北美大陆架七种海洋物种的案例研究

DOI:
10.1093/icesjms/fsaa103
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发表时间:
2020
影响因子:
3.3
通讯作者:
Pinsky, Malin L
Pinsky, Malin L
中科院分区:
农林科学2区
文献类型:
--
作者:
Morley, James W;Frölicher, Thomas L;Pinsky, Malin L

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经常对气候变化对生物资源的影响进行预测,其目标往往是为政策提供信息。如果不确定性得到有效量化,物种预测将更加有用。然而,很少有研究全面描述了温室气体情景、地球系统模型(ESM)以及物种分布建模中的结构和参数不确定性所产生的预测不确定性。在这里,我们进行了8964独特的21世纪世纪的预测,在适当的栖息地为7个经济重要的海洋物种,包括美国龙虾,太平洋大比目鱼,太平洋鲈鱼,和夏季比目鱼的转变。对于所有物种,用于模拟未来温度的无害环境管理和用于代表物种分布的生态位建模方法都是不确定性的重要来源,而与生态位模型中的参数值相关的变化很小。温室气体排放情景增加了世纪尺度预测的不确定性。预测不确定性的特点因物种而异,在空间上也各不相同,这突出表明需要改进多模型方法,以一套无害环境措施和生态位模型作为预测影响不确定性的基础。包围预测表明,在未来的分布的重大变化的潜力。因此,对未来进行严格的预测对于为气候适应努力提供信息十分重要。
Projections of climate change impacts on living resources are being conducted frequently, and the goal is often to inform policy. Species projections will be more useful if uncertainty is effectively quantified. However, few studies have comprehensively characterized the projection uncertainty arising from greenhouse gas scenarios, Earth system models (ESMs), and both structural and parameter uncertainty in species distribution modelling. Here, we conducted 8964 unique 21st century projections for shifts in suitable habitat for seven economically important marine species including American lobster, Pacific halibut, Pacific ocean perch, and summer flounder. For all species, both the ESM used to simulate future temperatures and the niche modelling approach used to represent species distributions were important sources of uncertainty, while variation associated with parameter values in niche models was minor. Greenhouse gas emissions scenario contributed to uncertainty for projections at the century scale. The characteristics of projection uncertainty differed among species and also varied spatially, which underscores the need for improved multi-model approaches with a suite of ESMs and niche models forming the basis for uncertainty around projected impacts. Ensemble projections show the potential for major shifts in future distributions. Therefore, rigorous future projections are important for informing climate adaptation efforts.
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