Earth observation and socio-economic data visualisation in support of marine governance and future marine economic prosperity and health

地球观测和社会经济数据可视化支持海洋治理和未来海洋经济繁荣与健康

• 批准号: ES/N013786/1
• 负责人: Eleni Papathanasopoulou
• 金额: $ 14.77万
• 依托单位: Plymouth Marine Laboratory
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FN013786%2F1
• 关键词: Earth; observation; socio; economic; data

Societies rely fundamentally on the natural environment and the ecosystem services it provides to fulfil economic and social goals including job generation and maintenance of cultural links with healthy environments. Earth observation (EO) combined with socio-economic data can help better inform planning to optimise the sustainable use of the natural environment for economic growth and conservation efforts. Use of socio-economic analysis can also ensure that analysis at different spatial scales can be performed addressing distributional, resilience and vulnerability issues at community level. Marine spatial plans are being used to inform decisions of where to locate and co-locate various economic and conservation activities in the marine environment. However, they are currently compiled in isolation of EO data which could provide critical temporal and spatial information of, for example, water quality, chlorophyll concentration, presence of harmful algal blooms (HAB), sea surface temperature (SST) and ocean fronts. These data could be used, alongside other satellite data, including the monitoring of fishing vessels and shipping movements, to: evaluate whether current activities are most efficiently located from an environmental perspective; identify potential areas for further economic development in marine industries, such as power generation, aquaculture, and tourism, and; improve identification of areas for the protection of outstanding marine quality and designation of marine reserves. Social science can then be used to translate these development options into economic (e.g. estimation of job creation, revenue generation, distribution of benefits within coastal communities, level of diversification of industries) and social (e.g. highlighting importance of sense of place, cultural identity, social cohesion) impacts to assist in the decisions of which development options to pursue. These outputs will provide information to support evidence-based governance at the national and local levels as well as aiding stakeholder participation in decisions.

社会从根本上依赖自然环境及其提供的生态系统服务来实现经济和社会目标，包括创造就业机会和维持与健康环境的文化联系。地球观测（EO）与社会经济数据相结合，可以帮助更好地为规划提供信息，以优化自然环境的可持续利用，促进经济增长和保护工作。使用社会经济分析还可以确保在不同空间尺度上进行分析，处理社区一级的分布、复原力和脆弱性问题。海洋空间计划正被用来为海洋环境中各种经济和养护活动的选址和共址决策提供信息。然而，这些数据目前是在与地球观测数据隔离的情况下汇编的，而地球观测数据可以提供关键的时空信息，例如水质、叶绿素浓度、有害藻华的存在、海面温度和海洋锋。这些数据可与其他卫星数据（包括监测渔船和航运活动）一起用于：从环境角度评估当前活动是否最有效地定位;确定海洋产业进一步经济发展的潜在领域，例如发电、水产养殖和旅游业;以及;加强确定优秀海洋质量保护区和指定海洋保护区。然后，可利用社会科学将这些发展备选方案转化为经济影响（例如，估计创造就业机会、创收、沿海社区内的利益分配、产业多样化程度）和社会影响（例如，强调地方感、文化认同、社会凝聚力的重要性），以协助决定采用哪些发展备选方案。这些产出将提供信息，以支持国家和地方两级的循证治理，并协助利益攸关方参与决策。