U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
J Environ Manage. 2023 Nov 1;345:118636. doi: 10.1016/j.jenvman.2023.118636. Epub 2023 Aug 11.
To effectively manage species and habitats at multiple scales, population and land managers require rapid information on wildlife use of managed areas and responses to landscape conditions and management actions. GPS tracking studies of wildlife are particularly informative to species ecology, habitat use, and conservation. Combining GPS data with administrative data and a diverse suite of remotely sensed, geo-referenced environmental (e.g., climatic) data, would more comprehensively inform how animals interact with and utilize habitats and ecosystems and our goal was to create a conceptual model for a system that would accomplish this - the 'Automated Interactive Monitoring System (AIMS) for Wildlife'. Our objective for this study was to develop a Customized Wildlife Report (CWR) - the first AIMS for Wildlife deliverable product. CWRs collate and summarize our 8-year GPS tracking dataset of ∼11 million locations from 1338 individual (16 species) avifauna and make actionable, real-time data on animal movements and trends in a specific area of interest available to managers and stakeholders for rapid application in day-to-day management. The CWR exemplar presented in this paper was developed to address needs identified by habitat managers of Sacramento National Wildlife Refuge and illustrates the highly specific, information offered and how it contributes to assessing the efficacy of conservation actions while allowing for near real-time adaptive management. The report can be easily customized for any of the thousands of wildlife refuges or regional areas of interest in the United States, emphasizing the broad application of an animal movement data stream. Utilizing diverse, extensive telemetry data streams through scientific collaboration can aid managers and conservation stakeholders with short and long-term research and conservation planning and help address a cadre of issues from local-scale habitat management to improving the understanding of landscape level impacts like drought, wildfire, and climate change on wildlife populations.
为了在多个尺度上有效管理物种和生境，种群和土地管理者需要快速了解野生动物对管理区域的利用情况，以及对景观条件和管理措施的响应。野生动物 GPS 跟踪研究特别有助于了解物种生态学、生境利用和保护。将 GPS 数据与管理数据以及一系列多样化的遥感、地理参考环境（如气候）数据相结合，可以更全面地了解动物如何与栖息地和生态系统相互作用并利用它们，我们的目标是创建一个系统的概念模型，即“野生动物自动交互监测系统（AIMS）”。我们的研究目标是开发一个定制的野生动物报告（CWR）——AIMS for Wildlife 的第一个可交付成果产品。CWR 汇总和总结了我们 8 年来对 1338 只（16 个物种）鸟类进行的约 1100 万个 GPS 跟踪地点的数据，并为管理者和利益相关者提供了关于特定感兴趣区域动物运动和趋势的可操作的实时数据，以便在日常管理中快速应用。本文介绍的 CWR 示例是为满足萨克拉门托国家野生动物保护区的栖息地管理者提出的需求而开发的，说明了提供的高度具体的信息以及如何有助于评估保护措施的效果，同时允许进行近乎实时的适应性管理。该报告可以轻松地为美国数千个野生动物保护区或区域感兴趣的地区进行定制，强调了动物运动数据流的广泛应用。通过科学合作利用多样化、广泛的遥测数据流可以帮助管理者和保护利益相关者进行短期和长期的研究和保护规划，并帮助解决一系列问题，从局部尺度的栖息地管理到改善对干旱、野火和气候变化等景观水平影响对野生动物种群的理解。
