2017
DOI: 10.3390/w9030176
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Linking Forest Cover to Water Quality: A Multivariate Analysis of Large Monitoring Datasets

Abstract: Forested catchments are generally assumed to provide higher quality water. However, this hypothesis must be validated in various contexts as interactions between multiple land use and land cover (LULC) types, ecological variables and water quality variables render this relationship highly complex. This paper applies a straightforward multivariate approach on a typical large monitoring dataset of a highly managed and densely populated area (Wallonia, Belgium; 10-year dataset), quantifying forest cover effects o… Show more

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Cited by 27 publications
(15 citation statements)
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“…Removing the influence of spatial autocorrelation and ecological factors decreases, at the Walloon scale, the biological water quality variability explained by forest cover computed outside the functional riparian buffer respectively from 39 to 14%. This result is similar with the quantitative assessment of forest cover effect on physico-chemical water quality in Wallonia (Brogna et al, 2017a). Intra-ecoregion effect of elevation is, as expected, less important within the ecoregions as these are more homogeneous in that respect.…”
Section: Forest Cover Link With Biological Water Qualitysupporting
confidence: 88%
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“…Removing the influence of spatial autocorrelation and ecological factors decreases, at the Walloon scale, the biological water quality variability explained by forest cover computed outside the functional riparian buffer respectively from 39 to 14%. This result is similar with the quantitative assessment of forest cover effect on physico-chemical water quality in Wallonia (Brogna et al, 2017a). Intra-ecoregion effect of elevation is, as expected, less important within the ecoregions as these are more homogeneous in that respect.…”
Section: Forest Cover Link With Biological Water Qualitysupporting
confidence: 88%
“…This finding is in line with Dahm et al (2013)'results identifying physico-chemical water quality as one of the main discriminating factor of biological water quality. This renders interpretation even more complex as physicochemical water quality has been proven to be linked to LULC and forest in particular in Wallonia (Brogna et al, 2017a). This is also in line with the nutrient enrichment shown in European studies and in Wallonia [e.g.…”
Section: Forest Cover Link With Biological Water Qualitymentioning
confidence: 53%
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“…1806) were considered statistically significant, based on Kaiser's criterion. RDA, a constrained linear method, helps to determine the linear relationship between response variables, in this case the species pollen profile, and the matrix of such explanatory variables as geographical origin and harvesting year (Brogna et al, 2017). The null hypothesis associated with the test was that the pollen spectrum of the honeys analysed was unrelated to the explanatory variables, while the alternative hypothesis was that the pollen spectrum responded to the explanatory variables.…”
Section: Discussionmentioning
confidence: 99%
“…Kondisi tersebut menunjukkan bahwa Sub DAS yang berhutan lebih mampu mengendalikan bahan pencemar sehingga hasil air dari hutan lindung yang masuk ke sungai tidak tercemar. Pendapat ini sesuai dengan (Brogna et al, 2017) bahwa besarnya penutupan hutan berpengaruh terhadap kualitas hasil air. Lebih detail, residu terlarut dan sedimen menunjukkan indeks degradasi lahan, tingkat dan tren kekritisan DAS dan juga mencerminkan karakteritik suatu DAS (Lane, Hernandez, & Nichols, 1997), (Verstraeten & Poesen, 2001), (Lu, Moran, & Sivapalan, 2005), dan (Sadeghi & Saeidi, 2010).…”
Section: Kualitas Air Dari Sub Das Berhutan (Banjaran) Dan Sub Das Tiunclassified