Integrating social data into systematic conservation planning.(4469)

将社会数据纳入系统保护规划。(4469)

• 批准号: 2760684
• 金额: --
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2760684
• 关键词: Integrating; social; data; into; systematic

Resources for the conservation of biodiversity and ecosystem services are invariably limited and need to be spatially allocated (a place-based approach) to greatest effect. However, evaluating often multiple policy and management options is commonly extremely challenging, because of conflicting and interacting values and objectives of different stakeholders, and frequently incomplete information. Systematic conservation planning (SCP) and related approaches have been employed widely to provide support for such decision-making. In particular, they enable the consequences of alternative explicit assumptions and weightings of different considerations to be formally compared and contrasted, and often portrayed in map form. However, whilst it is clear that some allocations of resources for biodiversity and ecosystem conservation are more beneficial to human communities (including in terms of health and wellbeing) and are more socially acceptable, the integration of social data into SCP has thus far been limited.This studentship will explore the integration of social data on individuals' benefits from, and attitudes and expectations towards, the natural environment into SCP for England. First, it will evaluate the appropriateness of, and ways of handling, different kinds of social data in the context of such tools. This will include addressing issues such as the application of 'benefits transfer' techniques that are widely employed in the context of environmental data, and issues of spatial context (e.g. views of nature) that may be rather different from those relevant to environmental data per se. Second, it will integrate key social data sets (e.g. such as ones derived from Natural England's People and Nature Survey) into SCP to examine some current significant strategic planning issues, particularly the consequences for the spatial allocations of resources for biodiversity and ecosystem conservation (such as those embodied in Local Nature Recovery Strategies, tree-planting targets and net gain) of addressing the health and wellbeing benefits of nature, the social acceptability of options, and of reducing the potential for environmental and social injustice, and the potential of an SCP approach for anticipating un-intended consequences of environmental change.This project is a partnership between Natural England and the University of Exeter RENEW project 'Individuals' theme, and the student will work closely with Natural England, use its approaches as a case study for the research, and have opportunities to be embedded in the organisation for a period.

用于保护生物多样性和生态系统服务的资源总是有限的，需要在空间上进行分配（基于地点的方法）以取得最大效果。然而，由于不同利益相关者的价值和目标相互冲突和相互作用，以及经常不完整的信息，通常评估多个政策和管理选项是极具挑战性的。系统保护规划（SCP）及其相关方法已被广泛应用于此类决策的支持。特别是，它们使不同考虑因素的不同明确假设和权重的结果能够得到正式的比较和对比，并经常以地图的形式描绘出来。然而，虽然生物多样性和生态系统保护的一些资源分配显然对人类社区更有利（包括在健康和福祉方面），而且更容易被社会接受，但迄今为止，将社会数据纳入SCP的工作还很有限。这个学生项目将探索将个人从自然环境中获得的利益、对自然环境的态度和期望的社会数据整合到英国的SCP中。首先，它将评估在这些工具的背景下不同类型的社会数据的适当性和处理方式。这将包括解决诸如在环境数据背景下广泛使用的“利益转移”技术的应用等问题，以及可能与环境数据本身相关的空间背景问题（例如自然景观）。其次，它将把关键的社会数据集（例如来自自然英格兰的人与自然调查的数据集）整合到SCP中，以研究当前一些重要的战略规划问题，特别是解决自然对健康和福祉的好处对生物多样性和生态系统保护资源的空间分配的影响（例如那些体现在当地自然恢复战略、植树目标和净收益中）。社会对各种方案的接受程度，以及减少环境和社会不公正的可能性，以及SCP方法在预测环境变化的意外后果方面的潜力。该项目是自然英格兰和埃克塞特大学RENEW项目“个人”主题之间的合作伙伴关系，学生将与自然英格兰密切合作，使用其方法作为研究的案例研究，并有机会在组织中嵌入一段时间。