A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains
Sally J. Medland,
Richard R. Shaker,
K. Wayne Forsythe,
Brian R. Mackay and
Greg Rybarczyk
Additional contact information
Sally J. Medland: Department of Geography & Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, Canada
Richard R. Shaker: Department of Geography & Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, Canada
K. Wayne Forsythe: Department of Geography & Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, Canada
Brian R. Mackay: Graduate Programs in Environmental Applied Science & Management, Ryerson University, Toronto, ON M5B 2K3, Canada
Greg Rybarczyk: University of Michigan-Flint, Flint, MI 48502, USA
Sustainability, 2020, vol. 12, issue 23, 1-21
Abstract:
Significant wetland loss (~72%; 1.4 million hectares) in the Province of Ontario, Canada, has resulted in damage to important ecosystem services that mitigate the effects of global change. In response, major agencies have set goals to halt this loss and work to restore wetlands to varying degrees of function and area. To aid those agencies, this study was guided by four research questions: ( i ) Which physical and ecological landscape criteria represent high suitability for wetland reconstruction? ( ii ) Of common wetland suitability metrics, which are most important? ( iii ) Can a multi-criteria wetland suitability index (WSI) effectively locate high and low wetland suitability across the Ontario Mixedwood Plains Ecozone? ( iv ) How do best sites from the WSI compare and contrast to both inventories of presettlement wetlands and current existing wetlands? The WSI was created based on seven criteria, normalized from 0 (low suitability) to 10 (high suitability), and illustrated through a weighted composite raster. Using an Analytical Hierarchy Process (AHP) and importance determined from a scoping review of relevant literature, soil drainage had the greatest meaning and weight within the WSI (48.2%). The Getis-Ord Gi* index charted statistically significant “hot spots” and “cold spots” of wetland suitability. Last, the overlay analysis revealed greater similarity between high suitability sites and presettlement wetlands supporting the severity of historic wetland cannibalization. In sum, this transferable modeling approach to regional wetland restoration provides a prioritization tool for improving ecological connectivity, services, and resilience.
Keywords: wetlands; multi-criteria evaluation; ecological restoration; analytical hierarchy process; landscape planning; land-use change; soil drainage; spatial analysis; scoping review; weighted index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/2071-1050/12/23/9953/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/23/9953/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:23:p:9953-:d:452732
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().