A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains
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...
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doaj-31f86649dccf4566ae89d0e54192b8c52020-11-29T00:01:03ZengMDPI AGSustainability2071-10502020-11-01129953995310.3390/su12239953A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood PlainsSally J. Medland0Richard R. Shaker1K. Wayne Forsythe2Brian R. Mackay3Greg Rybarczyk4Department of Geography & Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, CanadaDepartment of Geography & Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, CanadaDepartment of Geography & Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, CanadaGraduate Programs in Environmental Applied Science & Management, Ryerson University, Toronto, ON M5B 2K3, CanadaUniversity of Michigan-Flint, Flint, MI 48502, USASignificant 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>i</i>) Which physical and ecological landscape criteria represent high suitability for wetland reconstruction? (<i>ii</i>) Of common wetland suitability metrics, which are most important? (<i>iii</i>) Can a multi-criteria wetland suitability index (WSI) effectively locate high and low wetland suitability across the Ontario Mixedwood Plains Ecozone? (<i>iv</i>) 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.https://www.mdpi.com/2071-1050/12/23/9953wetlandsmulti-criteria evaluationecological restorationanalytical hierarchy processlandscape planningland-use change |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sally J. Medland Richard R. Shaker K. Wayne Forsythe Brian R. Mackay Greg Rybarczyk |
spellingShingle |
Sally J. Medland Richard R. Shaker K. Wayne Forsythe Brian R. Mackay Greg Rybarczyk A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains Sustainability wetlands multi-criteria evaluation ecological restoration analytical hierarchy process landscape planning land-use change |
author_facet |
Sally J. Medland Richard R. Shaker K. Wayne Forsythe Brian R. Mackay Greg Rybarczyk |
author_sort |
Sally J. Medland |
title |
A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains |
title_short |
A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains |
title_full |
A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains |
title_fullStr |
A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains |
title_full_unstemmed |
A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains |
title_sort |
multi-criteria wetland suitability index for restoration across ontario’s mixedwood plains |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-11-01 |
description |
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>i</i>) Which physical and ecological landscape criteria represent high suitability for wetland reconstruction? (<i>ii</i>) Of common wetland suitability metrics, which are most important? (<i>iii</i>) Can a multi-criteria wetland suitability index (WSI) effectively locate high and low wetland suitability across the Ontario Mixedwood Plains Ecozone? (<i>iv</i>) 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. |
topic |
wetlands multi-criteria evaluation ecological restoration analytical hierarchy process landscape planning land-use change |
url |
https://www.mdpi.com/2071-1050/12/23/9953 |
work_keys_str_mv |
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