CAREER: Land-Use and Land-Cover Change Impact on Biodiversity and Indigenous Peoples' Livelihoods

该奖项考察了小规模土地利用和土地覆盖变化的驱动因素，以及这些变化对生物多样性、生态系统服务和土著社区的影响。目前分析生物多样性和生态系统服务的方法使用昂贵的城市和城市中心空间分辨率的遥感数据，这些数据不足以在当地范围内进行分析。该项目与土著社区合作，利用无人机开发新的遥感方法，以更高的空间和时间分辨率收集数据，从而能够在变化发生时分析当地土地变化过程。该项目利用土地利用和土地覆盖变化知识的共同成果，查明了引发土地利用变化的过程，从而为研究扩大方法、为可持续全球经济进程提供信息作出了重大贡献。紧密结合的研究和教育计划加上暑期学院扩大了代表性不足的学生的参与，并提供了STEM研究方法的特殊培训。随着土地变化科学家扩展模型以了解变化过程的影响，了解全球一级过程的影响如何、何时、何地在地方尺度上表现出来是至关重要的。为了满足这些需求，该项目使用地理空间信息技术（包括无人机）对地方一级发生的变化进行编目，并评估是什么力量推动了地方一级的变化。将在五个不同的物理环境中完成对地方变革进程的评价，以确定决策者是否以及如何应对全球一级的变革驱动因素。这项研究填补了理解地方生物多样性、生态系统服务可用性和原住民生计实践如何被远离城市中心的力量塑造的空白。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。

This CAREER award examines the drivers of fine-scale land-use and land-cover change and the impacts of these changes on biodiversity, ecosystem services and indigenous communities. Current methods to analyze biodiversity and ecosystem services use costly remotely sensed data at the spatial resolution of cities and urban centers that are not sufficient for analysis at a local scale. Working with Indigenous communities, this project develops novel remote sensing methods using Unmanned Aerial Vehicles (UAVs) to collect data at finer spatial and temporal resolutions that enable the analysis of local land change processes while the changes are occurring. This project's use of co-production of knowledge of land-use and land-cover change identifies the processes that trigger land-use change and thereby makes a significant contribution to research on scaling up methods that inform sustainable global economic processes. The tightly integrated research and education plans coupled with a summer institute broaden participation of underrepresented students and provides exceptional training in STEM research methods. As land change scientists extend models for understanding the implications of change processes, it is essential to know how, when, and where the impacts of global level processes are manifested at local scales. To address these needs, this project catalogs change occurring at the local level using geospatial information technologies, including drones, and evaluates what forces drive change at the local level. Evaluation of local change processes will be completed in five different physical environments to determine whether and how policymakers respond to global-level drivers of change. This research fills a gap in the understanding of how local-level biodiversity, ecosystem services availability, and indigenous peoples' livelihood practices are shaped by forces located far from urban centers.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.