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AIMS for wildlife: Developing an automated interactive monitoring system to integrate real-time movement and environmental data for true adaptive management.
Casazza, Michael L; Lorenz, Austen A; Overton, Cory T; Matchett, Elliott L; Mott, Andrea L; Mackell, Desmond A; McDuie, Fiona.
Afiliación
  • Casazza ML; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA. Electronic address: mike_casazza@usgs.gov.
  • Lorenz AA; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
  • Overton CT; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
  • Matchett EL; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
  • Mott AL; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
  • Mackell DA; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA.
  • McDuie F; U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D Dixon, CA, USA; San Jose State University Research Foundation, Moss Landing Marine Laboratories, 8272 Moss Landing Rd. Moss Landing, CA, USA.
J Environ Manage ; 345: 118636, 2023 Nov 01.
Article en En | MEDLINE | ID: mdl-37574637
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecosistema / Animales Salvajes Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecosistema / Animales Salvajes Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article