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

MCA：一致性：从野外到卫星建模社会生态马赛克的前沿[j]；这个项目调查了半干旱系统中人类与环境相互作用的本质。这些相互作用被认为在不断变化的当地景观变化中，以及在土地管理知识和实践可能因其个人、家庭和社会网络经验而异的居住群体中形成不同的形式。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，如降水变化、市场变化或政治规则。了解这些关系和影响是如何在观察尺度、管理领域和外部因素范围内发挥作用的，通过从项目开始到研究的每个阶段纳入当地居民的反馈，可以丰富这些关系和影响。与之前的案例研究不同，该研究告知了大量居民/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的理论框架，更集中地关注空间和时间上的地方到区域背景，以及那些基础设施比城市中心少的地方的偏远人口，以及那些人们最终严重依赖并在公共、私人或保护性管理下管理邻近土地的地方。这一方法的基础是三个关键问题：1)景观如何响应开放使用与私人使用之间的外部变化，以及具有不同土地使用、开采和管理背景的居民所采取的保护管理策略；2)考虑到这些相同的外部变量，特别是大家庭在一个地区生活的时间长短以及他们个人和集体的环境感知，家庭经历和观念如何影响他们的生计和土地管理决策；3)问题1和问题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相关。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在促进家庭、粮食、环境和经济安全方面最重要。该奖项反映了美国国家科学基金会的法定使命，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.