MCA: Consilience: Advancing Frontiers in Modeling Socioecological Mosaics from Field to Satellite

MCA：一致性：推进从田间到卫星的社会生态镶嵌模型的前沿2322286船员，凯利A;德克萨斯大学奥斯汀分校这个项目研究了半干旱系统中人类与环境相互作用的性质。这些相互作用被认为是采取不同的形状在不断变化的地方变化的景观，以及居民群体之间的土地管理知识和做法可能会有所不同，他们的个人，家庭和社会网络的经验。最后，这些关系可能受到人民及其土地外部因素的积极或消极影响，如降水量的变化、市场变化或政治规则。了解这些关系和影响如何在观察尺度，管理领域和外部因素的影响范围内发挥作用，通过从项目开始到研究的每个阶段纳入当地居民的反馈来丰富。区别于以前的案例研究，研究告知大量居民/利益相关者的投入有助于研究和管理的有效性，准确性，和效率。这项工作扩展了社会-生态系统更集中地关注地方到区域的空间和时间背景，以及基础设施不如城市中心的偏远地区的人口，在社区、私人或保护性管理下的相邻土地的管理人。这种方法的基础是三个关键问题：1）景观如何应对开放使用与私人使用与保护管理策略之间的外部变化，这些策略是由具有不同土地使用、开采和管理背景的居民实施的; 2）鉴于这些同样的外部可变性，家庭的经历和观念如何影响其生计和土地管理决定，具体而言，一个大家庭在一个地区生活的时间长短及其个人和集体的环境感知; 3）问题1和2中的这些关系是否以及如何在空间和时间上系统地和可预测地联系起来。这些结果为土地管理实践提供了信息，以最大限度地提高人们的生计和环境管理，并深入了解在各种条件下，哪些地方和区域因素对促进家庭、粮食、环境和经济安全最重要。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

MCA: Consilience: Advancing Frontiers in Modeling Socioecological Mosaics from Field to Satellite2322286 Crews, Kelley A; University of Texas at AustinThis project investigates the nature of human-environment interactions in semi-arid systems. These interactions are thought to take shape differently across changing local variations in landscapes as well as among residential groups whose land management knowledge and practice may vary with their personal, family, and social network experience. Lastly, these relationships may be positively or negatively impacted by factors external to the people and their lands, such as changes in precipitation, market changes, or political rules. Understanding how these relationships and impacts function across scales of observations, spheres of management, and reach of external factors is enriched by incorporating local resident feedback from the start of the project and through every stage in this research. Distinguished from the previous case studies, the research informs where substantial resident/stakeholder input aids in research and management effectiveness, accuracy, and efficiency.This work extends the theoretical framing of social-ecological systems to focus more intensively on local to regional contexts in space and time and remote populations in places where there is lesser infrastructure than urban centers and where people are ultimately both heavily dependent upon and the stewards for adjacent lands under communal, private, or protective management. Underlying this approach are three key questions: 1) how do landscapes respond to external variabilities among open use versus private use versus conservation management strategies practiced by residents with varying backgrounds in land use, extraction, and management; 2) how do family experiences and perceptions impact their livelihood and land management decisions given those same external variabilities, specifically, the length of time an extended family has lived in an area and their individual and collective environmental perception; and 3) if and how these relationships in questions 1 and 2 are systematically and predictably related across space and time. These results inform land management practices to maximize people’s livelihoods and environmental management and give insight into which local and regional factors most matter in promoting family, food, environmental, and economic security in variable conditions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.