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                    Section 1: Overview
                                
Name of Research Project
    
        
                
                
        
            
                    | Related Project | Part | 
            
                    | GWF-LF: Lake Futures |  | 
            
                    |  |  | 
            
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        Program Affiliations
            
                                
    Related Research Project(s)
            
                                
                Dataset Title
                
                    Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators
                
                                
                Additional Information
                
                                
    Creators and Contributors
            
                |
| Simon Courtenay | PI | simon.courtenay@uwaterloo.ca | University of Waterloo | 
| Elaine Ho | Originator | e23ho@uwaterloo.ca | University of Waterloo | 
| Sondra Eger | Collaborator | seger@uwaterloo.ca | University of Waterloo | 
             
                                
                Abstract
                
                    A review of the Muskoka Watershed Council reporting, as well as literature that also reviewed other programs, demonstrated a need for a standard, more objective, approach for identifying, and where budgetary limitations require, prioritizing indicators or reducing their numbers.  The Criteria-based Ranking (CBR) process was developed, inspired by tools used in Environmental Assessment. A workshop with members and guests of the Muskoka Watershed Council was carried out on August 5, 2016, at which the CBR process was tested to see if using the process would yield different results than the conventional approach. The outcome of the workshop was that using this standard process generated a very different outcome than what emerged from the conventional approach.
                
                                
                Purpose
                
                    Resources allocated to water management often fluctuate. As a result, the types and number of parameters (e.g., indicators for ecosystem health) being measured, in monitoring programs, are frequently reassessed according to management (or political) priorities, limits on budgets, and availability of human resources. The periodic need to refocus monitoring, conflicts with the need to maintain consistent, long-term indicators that are used to demonstrate changes to ecosystem health, or define ‘abnormal’ indicator measures. Conventional approaches are subjective, time-consuming, and non-standardized. This research developed and tested whether a new approach would reduce time and cost, while increasing objectivity and monitoring adaptability (to fluctuating resources). This project was funded by the Canadian Water Network, but the data collected will also support the research objectives of the project titled "Lake Futures: Enhancing Adaptive Capacity and Resilience of Lakes and Their Watersheds: Work Package 3". Lake Futures is a Pillar 3 project under the Global Water Futures Program funded by Canada First Research Excellence Fund
                
                                
                Plain Language Summary
                
                    
                
                                
    Keywords
            
                |
| Ecosystem | 
| District Municipality of Muskoka, Ontario, Canada - FDNNR   | 
| Freshwaters    | 
| Impact assessments | 
| Ontario    | 
| Watershed    | 
             
                                
                Citations
                
                    Courtenay, S., Ho, E., and Eger, S. (2019). Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). Unpublished Data. Additional Publication: Ho, E. (2018). Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators. MethodsX 5: 1324-1329. doi: 10.1016/j.mex.2018.10.015
                
                 
                
                    Section 3: Status and Provenance
                                
                Dataset Version
                
                                
                Dataset Creation Date
                
                                
                Status of data collection/production
            
                                
                Dataset Completion or Abandonment Date
                
                                
                Data Update Frequency
            
                                
    Creation Software
            
                                
    
        Primary Source of Data
            
                                
                Other Source of Data (if applicable)
                
                                
                Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
                
                    
                
                 
                
                    Section 4: Access and Downloads
                                
				Access to the Dataset
			
                                
                Terms of Use
                
                                
    
        Does the data have access restrictions?
            
                                
				Downloading and Characteristics of the Dataset
			
                                
                Download Links and Instructions
                
                                
                Total Size of all Dataset Files (GB)
                
                                
    
        File formats and online databases
            
                                
                Other Data Formats (if applicable)
                
                                
    List of Parameters and Variables