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Prioritized area mapping for multiple stakeholders through geospatial modelling: A focus on marine plastics pollution in Hong Kong

机译:通过地理空间建​​模为多个利益相关者确定优先区域分布图:以香港海洋塑料污染为重点

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Sources of plastics pollution, transport and deposition in Hong Kong are all subject to uncertainty and this characteristic must be mapped if stakeholders are to be made aware of their need for greater involvement in ongoing marine spatial planning and management. We employ geostatistical interpolation as the mapping approach, to enable a wider scale assessment of the spatial distribution of three quantities of interest, denoted by plastics waste, ports shipping intensity and a notional measure we refer to as ecological insecurity to be determined. We generate map layer representations for each of these variables to concentrate the focus of a stakeholder onto their regions of most concern and employ associated uncertainty maps to highlight prioritized regions identified to be above a designated level of certainty. We refer to the resulting map as a Prioritized Area Map (PAM). The PAM approach to characterize marine plastics waste links otherwise disparate stakeholders to ecosystem-based-management, thereby balancing ecological, socio-economic and governance principles across temporal and spatial scales. The PAM approach serves as a generic scoping tool to help assess any marine spatial planning problem.
机译:香港的塑料污染,运输和沉积来源均存在不确定性,如果要使利益相关者意识到他们需要更多地参与正在进行的海洋空间规划和管理,则必须对这一特征进行映射。我们采用地统计插值法作为制图方法,以便能够更广泛地评估三个相关数量的空间分布,这些数量由塑料废物,港口运输强度和我们称为生态不安全性的概念性度量表示。我们为这些变量中的每一个生成地图图层表示,以将利益相关者的注意力集中到他们最关注的区域上,并使用相关的不确定性地图来突出显示确定为高于指定确定性水平的优先区域。我们将生成的地图称为“优先区域地图(PAM)”。 PAM方法表征海洋塑料废物的联系,否则将利益相关者分散到基于生态系统的管理中,从而在时空尺度上平衡生态,社会经济和治理原则。 PAM方法可作为通用范围界定工具,帮助评估任何海洋空间规划问题。

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