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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Ho, E.
Title
Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators
Year
2018
Publication Outlet
MethodsX, 5, 1324-1329. https://doi.org/10.1016/j.mex.2018.10.015
DOI
https://doi.org/10.1016/j.mex.2018.10.015
Citation
Ho, E. (2018). Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators. MethodsX, 5, 1324-1329. https://doi.org/10.1016/j.mex.2018.10.015
Abstract
Resources allocated to natural resource management often fluctuate, requiring the types and numbers of parameters used in monitoring programs (e.g., indicators of ecosystem health) to be frequently reassessed. Conventional approaches to selecting monitoring indicators are often biased and non-inclusive. A new Criteria-based Ranking (CBR) process for selecting and/or prioritizing indicators was tested in the Muskoka River Watershed (Ontario, Canada). The CBR process is based on two environmental assessment tools, Simple Weighted and Leopold matrices. It incorporates environmental components and criteria for assessing each indicator, which generate a score per indicator. The process tested in this study was concluded to be an effective way to prioritize and/or select environmental monitoring indicators. A different set of indicators emerged when a common set of criteria was used to assess monitoring indicators. Benefits of the CBR process include:
-Standardization of indicator selection process with less bias and lower cost (e.g., time and human resources).
-Indicators that are representative of the community and more relevant for decision-making (e.g., more resilient to socio-political change).
-Adaptability: (1) to other goals, e.g., selecting from a list of Valued Ecosystem Components (VECs), and (2) to any context through localized scoring criteria. Easily integrated into existing practice.
Program Affiliations
GWF: Global Water Futures
Publication Stage
Published
Download Links
https://doi.org/10.1016/j.mex.2018.10.015
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