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

ABSTRACT Collection, processing, and long‐term storage of data for broad‐scale, collaborative natural resource monitoring and management projects poses technical and administrative challenges that, if not properly addressed, result in suboptimal management and learning. Data from many cooperators, o...

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Main Authors: Victoria M. Hunt, Sarah K. Jacobi, Melinda G. Knutson, Eric V. Lonsdorf, Shawn Papon, Jennifer Zorn
Format: Article
Language:English
Published: Wiley 2015-09-01
Series:Wildlife Society Bulletin
Subjects:
Online Access:https://doi.org/10.1002/wsb.547
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author Victoria M. Hunt
Sarah K. Jacobi
Melinda G. Knutson
Eric V. Lonsdorf
Shawn Papon
Jennifer Zorn
author_facet Victoria M. Hunt
Sarah K. Jacobi
Melinda G. Knutson
Eric V. Lonsdorf
Shawn Papon
Jennifer Zorn
author_sort Victoria M. Hunt
collection DOAJ
description ABSTRACT Collection, processing, and long‐term storage of data for broad‐scale, collaborative natural resource monitoring and management projects poses technical and administrative challenges that, if not properly addressed, result in suboptimal management and learning. Data from many cooperators, often spanning multiple organizations, must be efficiently centralized and processed, and must be consistent in content and quality over the lifespan of such projects. We present a data management system for natural resource monitoring and management consisting of 2 components: a centralized, web‐based platform for data entry and a connected relational database for data processing, modeling, and analysis. After the data management system has been customized to meet the needs of a specific project, operation and system maintenance require minimal external technical support, making it suitable for long‐term projects that face potential staffing and budgeting constraints. We discuss the scope of projects for which this approach is applicable and document 2 U.S. Fish and Wildlife Service adaptive management case studies demonstrating this data management system: 1) Native Prairie Adaptive Management, and 2) Wetland Restoration and Sediment Removal. The standardized approach presented within is broadly applicable in collaborative natural resource monitoring and management settings and has the potential to improve management outcomes and facilitate deeper ecological understanding of systems being managed. © 2015 The Wildlife Society.
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spelling doaj-art-472b0175ef014c95bc1200ebf5ba731a2025-08-20T02:38:09ZengWileyWildlife Society Bulletin2328-55402015-09-0139346447110.1002/wsb.547A data management system for long‐term natural resource monitoring and management projects with multiple cooperatorsVictoria M. Hunt0Sarah K. Jacobi1Melinda G. Knutson2Eric V. Lonsdorf3Shawn Papon4Jennifer Zorn5Department of Ecology and Evolutionary BiologyUniversity of Illinois ‐ ChicagoChicagoIL 60607USADepartment of Plant Science and ConservationChicago Botanic GardenGlencoeIL 60022USADivision of Biological ResourcesUnited States Fish and Wildlife ServiceLa CrosseWI 54603USADepartment of Plant Science and ConservationChicago Botanic GardenGlencoeIL 60022USAFergus Falls Wetland Management DistrictUnited States Fish and Wildlife ServiceFergus FallsMN 56537USADivision of Biological ResourcesUnited States Fish and Wildlife ServiceKenmareND 58746USAABSTRACT Collection, processing, and long‐term storage of data for broad‐scale, collaborative natural resource monitoring and management projects poses technical and administrative challenges that, if not properly addressed, result in suboptimal management and learning. Data from many cooperators, often spanning multiple organizations, must be efficiently centralized and processed, and must be consistent in content and quality over the lifespan of such projects. We present a data management system for natural resource monitoring and management consisting of 2 components: a centralized, web‐based platform for data entry and a connected relational database for data processing, modeling, and analysis. After the data management system has been customized to meet the needs of a specific project, operation and system maintenance require minimal external technical support, making it suitable for long‐term projects that face potential staffing and budgeting constraints. We discuss the scope of projects for which this approach is applicable and document 2 U.S. Fish and Wildlife Service adaptive management case studies demonstrating this data management system: 1) Native Prairie Adaptive Management, and 2) Wetland Restoration and Sediment Removal. The standardized approach presented within is broadly applicable in collaborative natural resource monitoring and management settings and has the potential to improve management outcomes and facilitate deeper ecological understanding of systems being managed. © 2015 The Wildlife Society.https://doi.org/10.1002/wsb.547adaptive managementdatabasedata collectiondata qualitydistributed decision‐makingmonitoring
spellingShingle Victoria M. Hunt
Sarah K. Jacobi
Melinda G. Knutson
Eric V. Lonsdorf
Shawn Papon
Jennifer Zorn
A data management system for long‐term natural resource monitoring and management projects with multiple cooperators
Wildlife Society Bulletin
adaptive management
database
data collection
data quality
distributed decision‐making
monitoring
title A data management system for long‐term natural resource monitoring and management projects with multiple cooperators
title_full A data management system for long‐term natural resource monitoring and management projects with multiple cooperators
title_fullStr A data management system for long‐term natural resource monitoring and management projects with multiple cooperators
title_full_unstemmed A data management system for long‐term natural resource monitoring and management projects with multiple cooperators
title_short A data management system for long‐term natural resource monitoring and management projects with multiple cooperators
title_sort data management system for long term natural resource monitoring and management projects with multiple cooperators
topic adaptive management
database
data collection
data quality
distributed decision‐making
monitoring
url https://doi.org/10.1002/wsb.547
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