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Quantifying cumulative impacts of human pressures on the marine environment: a geospatial modelling framework

机译:量化人类压力对海洋环境的累积影响:地理空间建​​模框架

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Worldwide increasing pressure on the marine environment requires integrated and ecosystem-based management, and a sound understanding of cumulative impacts of human pressure. As yet, the quantification of risk of cumulative impact remains a difficult task in practice. We developed a geospatial modelling framework to group data on the spatial distribution and intensity of human activities by generic pressure. The impact of those pressures was mapped by accounting for the sensitivity of UK marine landscapes to those pressures. With the help of GIS-based multi-criteria analysis, we developed 4 different scenarios to quantify risk of cumulative impacts that accounted for different importance of ranked pressures (equal, linear and logistic decrease), including a simulated expert consultation. Finally, we assessed the sensitivity of the scenario outcomes to changes to input parameters and compared model outcomes. The risk assessment framework exposed both a wide range of possible modelled scenarios and uncertainties, but all scenarios revealed similar locations with an increased risk of cumulative impacts. Results showed that the logistic weighting scheme was very sensitive to changes in the importance and ranking of pressures in comparison to the linear weighting scheme. For marine planning the use of a weighting scheme with more constrained values should be used in conjunction with a sensitivity analysis to determine the order of input parameters. Once a more comprehensive geodatabase becomes available our standardised framework can be applied to support both the development of sustainable marine plans in practise and the prioritisation of different uses.
机译:全球范围内对海洋环境日益增加的压力要求以生态系统为基础的综合管理,并对人为压力的累积影响有深刻的了解。迄今为止,量化累积影响风险在实践中仍然是一项艰巨的任务。我们开发了一种地理空间建​​模框架,可以通过通用压力将有关人类活动的空间分布和强度的数据分组。通过考虑英国海洋景观对这些压力的敏感性来绘制这些压力的影响。在基于GIS的多标准分析的帮助下,我们开发了4种不同的方案来量化累积影响的风险,这些风险说明了排名压力的不同重要性(相等,线性和逻辑下降),包括模拟专家咨询。最后,我们评估了方案结果对输入参数变化的敏感性,并比较了模型结果。风险评估框架暴露了各种可能的建模方案和不确定性,但是所有方案都揭示了相似的地点,累积影响的风险增加。结果表明,与线性加权方案相比,逻辑加权方案对压力的重要性和等级变化非常敏感。对于海洋规划,应将具有更多约束值的加权方案与敏感性分析结合使用,以确定输入参数的顺序。一旦有更全面的地理数据库可用,我们的标准化框架就可以用于支持实践中可持续海洋计划的开发以及不同用途的优先级划分。

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