A data management system for long‐term natural resource monitoring and management projects with multiple cooperators

作者: Victoria M. Hunt , Sarah K. Jacobi , Melinda G. Knutson , Eric V. Lonsdorf , Shawn Papon

DOI: 10.1002/WSB.547

关键词:

摘要: Collection, processing, and long-term storage of data for broad-scale, collaborative natural resource monitoring management projects poses technical administrative challenges that, if not properly addressed, result in suboptimal learning. Data from many cooperators, often spanning multiple organizations, must be efficiently centralized processed, consistent content quality over the lifespan such projects. We present a system consisting 2 components: centralized, web-based platform entry connected relational database modeling, analysis. After has been customized to meet needs specific project, operation maintenance require minimal external support, making it suitable that face potential staffing budgeting constraints. discuss scope which this approach is applicable document U.S. Fish Wildlife Service adaptive case studies demonstrating system: 1) Native Prairie Adaptive Management, 2) Wetland Restoration Sediment Removal. The standardized presented within broadly settings improve outcomes facilitate deeper ecological understanding systems being managed. © 2015 Society.

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