2020
DOI: 10.3390/su12239953
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A multi-Criteria Wetland Suitability Index for Restoration across Ontario’s Mixedwood Plains

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… Show more

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Cited by 9 publications
(5 citation statements)
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“…Getis-Ord Gi * is a local index of spatial association (LISA) test that is often used for "hot spot" analysis (Getis and Ord, 1992) and computes z-scores and P-values, specifying where those feature patterns are located (Wong and Lee, 2005). For significantly positive z-scores, the larger the z-score is, the greater the clustering of high values (hot spot); for negative z-scores, the smaller the z-score is, the greater the clustering of low values (cold spot) (Medland et al, 2020). This indicates aggregation far from the borderline (hot spots) and aggregation close to the borderline (cold spots) of anthropogenic pressure factors and wild boar nests within the study area.…”
Section: Anthropogenic Pressure and Wild Boar Nest Distributionmentioning
confidence: 94%
“…Getis-Ord Gi * is a local index of spatial association (LISA) test that is often used for "hot spot" analysis (Getis and Ord, 1992) and computes z-scores and P-values, specifying where those feature patterns are located (Wong and Lee, 2005). For significantly positive z-scores, the larger the z-score is, the greater the clustering of high values (hot spot); for negative z-scores, the smaller the z-score is, the greater the clustering of low values (cold spot) (Medland et al, 2020). This indicates aggregation far from the borderline (hot spots) and aggregation close to the borderline (cold spots) of anthropogenic pressure factors and wild boar nests within the study area.…”
Section: Anthropogenic Pressure and Wild Boar Nest Distributionmentioning
confidence: 94%
“…The three different weighting approaches used in the site suitability analysis resulted in KOK, KNWR, OHI, PUNA, KAMA, and MOKU being ranked as the top six sites and KAUN, PAIA, and POHO as the lowest, effectively removing them from further consideration (Table 5). The specific submodels we used to arrive at this prioritization of sites differ in important ways from most previous studies, which have ranked wetlands for restoration based solely on watershed attributes and specific wetland properties (White and Fennessey, 2005;Ouyang et al, 2011;Horvath et al, 2017;Qu et al, 2018;Medland et al, 2020). In our study, we incorporated community support in addition to wetland attributes and did so before any new restoration activities.…”
Section: Site Prioritizationmentioning
confidence: 99%
“…It is widely acknowledged by academics and practitioners that, due to its ease of use and understanding, AHP facilitates structuring the complexity, measurement, and synthesis of rankings [44,45]. Nonetheless, to our knowledge, just a handful of papers in the literature exist on the implementation of the AHP to the valuation of ESs [46][47][48][49][50].…”
Section: Figure 1 (A)mentioning
confidence: 99%