Linking forest cover to water quality:A multivariate analysis of large monitoring datasets
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 on nine physico-chemical water quality variables. Results show that forest cover expla... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2017 |
Reihe/Periodikum: | Brogna , D , Michez , A , Jacobs , S , Dufrêne , M , Vincke , C & Dendoncker , N 2017 , ' Linking forest cover to water quality : A multivariate analysis of large monitoring datasets ' , Water , vol. 9 , no. 3 , 176 . https://doi.org/10.3390/w9030176 |
Schlagwörter: | Agriculture / Belgium / Forests / Land cover / Land use / Monitoring network / Physico-chemical water quality / Redundancy analysis / Wallonia / Water framework directive |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26573400 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://researchportal.unamur.be/en/publications/6fe7aed7-ba9d-4e4a-9403-a1d573f9d81a |