深海采矿的概率生态风险评估:太平洋查塔姆海隆的贝叶斯网络

IF 4.3 2区 环境科学与生态学 Q1 ECOLOGY
Laura Kaikkonen, Malcolm R. Clark, Daniel Leduc, Scott D. Nodder, Ashley A. Rowden, David A. Bowden, Jennifer Beaumont, Vonda Cummings
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引用次数: 0

摘要

人们对海洋海底资源利用的兴趣与日俱增,这给深海环境带来了新的压力,其生态影响需要认真评估。这些生态系统的复杂性和全面数据的缺乏给预测潜在影响带来了巨大挑战。在本研究中,我们展示了如何利用贝叶斯网络(BN)作为建模框架来应对这些挑战,并加强有关人类活动对深海海底生态系统影响的稳健定量预测。该方法包括与专家迭代建立模型,以及对海底采矿后底栖生物不同功能群丰度相对减少的定量概率估计。然后,利用该模型对两种可供选择的海底采矿方案进行评估,以确定与采矿影响相关的主要不确定性来源。通过建立潜在采矿活动相关压力与底栖生态系统各组成部分之间的因果联系,我们的模型可以更好地理解对海底环境的潜在影响。我们以太平洋西南部奥特亚罗瓦/新西兰近海查塔姆海隆的潜在磷矿结核开采为例,说明了这种方法,并探讨了将经验数据和专家评估的知识纳入定量风险评估的方法。我们进一步讨论了如何利用与生态学和政策相关的指标来构建生态风险评估,从而更好地为决策提供信息。本研究的结果凸显了生物网络在评估人类活动潜在影响方面所能提供的宝贵见解。然而,进一步的研究和数据收集对于完善和验证这些模型以及提高我们对深海采矿和其他人类活动对海洋生态系统的长期影响的认识至关重要。通过利用这些工具,政策制定者、研究人员和利益相关者可以共同努力,使人类在深海的活动对生态的危害降到最低,并确保对这些环境的保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Probabilistic ecological risk assessment for deep-sea mining: A Bayesian network for Chatham Rise, Pacific Ocean

Probabilistic ecological risk assessment for deep-sea mining: A Bayesian network for Chatham Rise, Pacific Ocean

Increasing interest in seabed resource use in the ocean is introducing new pressures on deep-sea environments, the ecological impacts of which need to be evaluated carefully. The complexity of these ecosystems and the lack of comprehensive data pose significant challenges to predicting potential impacts. In this study, we demonstrate the use of Bayesian networks (BNs) as a modeling framework to address these challenges and enhance the development of robust quantitative predictions concerning the effects of human activities on deep-seafloor ecosystems. The approach consists of iterative model building with experts, and quantitative probability estimates of the relative decrease in abundance of different functional groups of benthos following seabed mining. The model is then used to evaluate two alternative seabed mining scenarios to identify the major sources of uncertainty associated with the mining impacts. By establishing causal connections between the pressures associated with potential mining activities and various components of the benthic ecosystem, our model offers an improved comprehension of potential impacts on the seafloor environment. We illustrate this approach using the example of potential phosphorite nodule mining on the Chatham Rise, offshore Aotearoa/New Zealand, SW Pacific Ocean, and examine ways to incorporate knowledge from both empirical data and expert assessments into quantitative risk assessments. We further discuss how ecological risk assessments can be constructed to better inform decision-making, using metrics relevant to both ecology and policy. The findings from this study highlight the valuable insights that BNs can provide in evaluating the potential impacts of human activities. However, further research and data collection are crucial for refining and ground truthing these models and improving our understanding of the long-term consequences of deep-sea mining and other anthropogenic activities on marine ecosystems. By leveraging such tools, policymakers, researchers, and stakeholders can work together toward human activities in the deep sea that minimize ecological harm and ensure the conservation of these environments.

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来源期刊
Ecological Applications
Ecological Applications 环境科学-环境科学
CiteScore
9.50
自引率
2.00%
发文量
268
审稿时长
6 months
期刊介绍: The pages of Ecological Applications are open to research and discussion papers that integrate ecological science and concepts with their application and implications. Of special interest are papers that develop the basic scientific principles on which environmental decision-making should rest, and those that discuss the application of ecological concepts to environmental problem solving, policy, and management. Papers that deal explicitly with policy matters are welcome. Interdisciplinary approaches are encouraged, as are short communications on emerging environmental challenges.
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