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

该职业奖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，这些数据不足以在局部尺度上进行分析。该项目与土著社区合作，开发新型遥感方法，使用无人机（uav）以更精细的空间和时间分辨率收集数据，以便在变化发生时分析当地土地变化过程。本项目利用土地利用和土地覆盖变化知识的联合生产，确定了触发土地利用变化的过程，从而对研究扩大为可持续全球经济进程提供信息的方法作出了重大贡献。紧密结合的研究和教育计划与暑期学院相结合，扩大了代表性不足的学生的参与，并提供了STEM研究方法方面的特殊培训。随着土地变化科学家扩展模型来理解变化过程的含义，了解全球层面过程的影响如何、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）对发生在地方一级的变化进行分类，并评估推动地方一级变化的力量。将在五种不同的自然环境中完成对地方变化过程的评估，以确定决策者是否以及如何应对全球层面的变化驱动因素。这项研究填补了对远离城市中心的力量如何塑造地方一级生物多样性、生态系统服务可用性和土著人民生计做法的理解空白。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。

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.