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首页> 外文期刊>ICES Journal of Marine Science >Building confidence in projections of the responses of living marine resources to climate change
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Building confidence in projections of the responses of living marine resources to climate change

机译:建立对海洋生物资源对气候变化的反应预测的信心

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摘要

The Fifth Assessment Report of the Intergovernmental Panel on Climate Change highlights that climate change and ocean acidification are challenging the sustainable management of living marine resources (LMRs). Formal and systematic treatment of uncertainty in existing LMR projections, however, is lacking. We synthesize knowledge of how to address different sources of uncertainty by drawing from climate model intercomparison efforts. We suggest an ensemble of available models and projections, informed by observations, as a starting point to quantify uncertainties. Such an ensemble must be paired with analysis of the dominant uncertainties over different spatial scales, time horizons, and metrics. We use two examples: (i) global and regional projections of Sea Surface Temperature and (ii) projection of changes in potential catch of sablefish (Anoplopoma fimbria) in the 21st century, to illustrate this ensemble model approach to explore different types of uncertainties. Further effort should prioritize understanding dominant, undersampled dimensions of uncertainty, as well as the strategic collection of observations to quantify, and ultimately reduce, uncertainties. Our proposed framework will improve our understanding of future changes in LMR and the resulting risk of impacts to ecosystems and the societies under changing ocean conditions.
机译:政府间气候变化专门委员会第五次评估报告强调,气候变化和海洋酸化正在挑战海洋生物资源(LMR)的可持续管理。然而,缺乏对现有LMR预测中不确定性的正式和系统的处理。我们通过气候模型的比对工作,综合了如何解决不确定性的不同来源的知识。我们建议将可用的模型和预测结合起来,以观察为基础,以此作为量化不确定性的起点。这样的合奏必须与对不同空间尺度,时间范围和指标的主要不确定性的分析相结合。我们使用两个示例:(i)21世纪海表温度的全球和区域预测,以及(ii)21世纪黑貂(Anoplopoma fimbria)潜在捕捞量变化的预测,以说明这种综合模型方法来探索不同类型的不确定性。进一步的工作应优先考虑对不确定性占主导地位的,抽样不足的维度,以及对量化和最终减少不确定性的观测结果进行战略收集。我们提出的框架将提高我们对LMR未来变化以及在不断变化的海洋条件下对生态系统和社会造成影响的风险的理解。

著录项

  • 来源
    《ICES Journal of Marine Science》 |2016年第5期|1283-1296|共14页
  • 作者单位

    Univ British Columbia, Inst Oceans & Fisheries, Nippon Fdn, Nereus Program,AERL, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada|Univ British Columbia, Inst Oceans & Fisheries, Changing Ocean Res Unit, AERL, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada;

    Swiss Fed Inst Technol, Inst Biogeochem & Pollutant Dynam, Environm Phys, Zurich, Switzerland;

    Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA;

    Univ British Columbia, Inst Oceans & Fisheries, Nippon Fdn, Nereus Program,AERL, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada|Univ British Columbia, Inst Oceans & Fisheries, Changing Ocean Res Unit, AERL, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada;

    Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ 08903 USA;

    Univ British Columbia, Inst Oceans & Fisheries, Nippon Fdn, Nereus Program,AERL, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada|Univ British Columbia, Inst Oceans & Fisheries, Changing Ocean Res Unit, AERL, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada;

    Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA;

    Univ S Carolina, Dept Biol Sci, Columbia, SC 29208 USA|Univ S Carolina, Marine Sci Program, Columbia, SC 29208 USA;

    Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA;

    NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA;

    Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA|Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    climate change; fisheries; marine resources; multi-model ensembles; projection; uncertainty;

    机译:气候变化;渔业;海洋资源;多模型合奏;投影;不确定性;

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