CNH-L: Scale-Dependent Feedbacks Among Protected Areas and Surrounding Socioecological Systems

确立土地管理管辖权的行政边界影响生态和社会进程。在美国，未开发的土地出现在公共和私人司法管辖区的马赛克中，管理方式各不相同。因此，这些马赛克支持不同的区域文化以及以自然资源为基础的经济。这些镶嵌景观还支持许多物种，是授粉、固碳、供水和净化以及病虫害防治等生态系统服务的来源。对于这些马赛克的差异，这项研究将确定(1)社会和生态边界、碎片化和连接性是如何相关的；(2)这种划分如何影响管理优先事项和结果，包括社会关系、管理决策、景观规模的管理挑战和生态功能。成果将通过与利益攸关方共享的决策支持系统加强区域土地管理和决策，从而增强土地管理的科学基础。这个项目将探索行政分割如何影响社会和生态系统内部和之间的反馈。由美国国家公园和美国西部相邻地块组成的五块马赛克将被分析。将模拟整个行政景观管理的复杂性和差异如何影响社会景观的连通性、福祉、决策和合作方面的进程和成果；生态景观中生境和进程的连通性；以及社会景观和生态景观之间的反馈路径。研究活动将包括：(A)侧重于管理马赛克对管理人员决策的影响；(B)土壤/植被/遥感评估，以划定生态边界；(C)新开发景观规模的社会决策和生态连通模型；(D)将社会和生态数据纳入可推广的空间耦合系统模型；(E)分析参与进程成败的因素。这项研究将加深对跨国界合作和连接如何影响管理挑战的理解，生态差异发生的规模，以及促进实现不同管理目标的因素。

Administrative boundaries that establish land management jurisdictions affect both ecological and social processes. In the US, undeveloped lands occur in mosaics of public and private jurisdictions with varying management. These mosaics thus support varying regional cultures as well as natural-resources-based economies. These mosaic landscapes also support many species and are sources of ecosystem services such as pollination, carbon fixation, water supply and purification, and pest control. For differences in these mosaics, this research will determine (1) how social and ecological boundaries, fragmentation, and connectedness are related; and (2) how such partitioning affects management priorities and outcomes, including social relationships, management decision-making, landscape-scale management challenges, and ecological functioning. Results will enhance regional land management and decision making through a decision-support system shared with stakeholders so as to enhance the scientific basis of land management. This project will explore how administrative partitioning affects feedbacks within and between social and ecological systems. Five mosaics comprising US National Parks and adjacent parcels in the western US will be analyzed. How complexity and differences in management across the administrative landscape affect processes and outcomes in terms of connectivity, well-being, decision-making, and cooperation in the social landscape; connectivity of habitat and processes in the ecological landscape; and feedback pathways between social and ecological landscapes will be modeled. Research activities will include (a) a focus on the influence of the management mosaic on decision-making by managers; (b) soil/vegetation/remote sensing assessment to delineate ecological boundaries; (c) novel development of landscape scale social decision-making and ecological connectivity models; (d) integration of social and ecological data into a generalizable spatial coupled systems model; and (e) an analysis of factors contributing to the success or failure of participatory processes. This research will improve understanding of how management challenges are affected by collaboration and connectivity across boundaries, the scale at which ecological divergence occurs, and factors facilitating attainment of diverse management objectives.