Matches in SemOpenAlex for { <https://semopenalex.org/work/W2046945863> ?p ?o ?g. }
- W2046945863 endingPage "527" @default.
- W2046945863 startingPage "517" @default.
- W2046945863 abstract "We evaluated the relationships between landscape characteristics and lake water quality in receiving waters by regressing four water quality responses on landscape variables that were measured for whole watersheds and three different buffer distances (30, 60, and 120 m). Classical percolation theory was used to conceptualize nutrient pathways and to explain nonlinear responses. The response variables were total nitrogen (TN), total phosphorus (TP), chlorophyll-a (Chl-a), and Secchi transparency (SD). Landscape data were obtained from satellite image-derived maps of 130 watersheds in Iowa using geographic information systems software. We developed regression models with a stepwise protocol selecting the optimal number of significant explanatory variables. Configuration variables such as contagion, the cohesion of cropland and urban land, and the aggregation index of forest were very important and more important than variables assessing landscape composition (e.g., percentage farmland). Whole watershed models predicted between 15 and 67% of the variability in TN, TP, Chl-a, and SD. Proximity-explicit data offered only slightly improved statistical power over land cover data derived from the entire watershed for variables TN, Chl-a. and SD, but not for TP." @default.
- W2046945863 created "2016-06-24" @default.
- W2046945863 creator A5026914107 @default.
- W2046945863 creator A5053107798 @default.
- W2046945863 creator A5059408274 @default.
- W2046945863 creator A5071486538 @default.
- W2046945863 date "2011-03-01" @default.
- W2046945863 modified "2023-10-10" @default.
- W2046945863 title "Effects of Watershed Configuration and Composition on Downstream Lake Water Quality" @default.
- W2046945863 cites W126936368 @default.
- W2046945863 cites W1542247698 @default.
- W2046945863 cites W154912930 @default.
- W2046945863 cites W1610677200 @default.
- W2046945863 cites W1974447733 @default.
- W2046945863 cites W1977570779 @default.
- W2046945863 cites W1984060968 @default.
- W2046945863 cites W1987209504 @default.
- W2046945863 cites W1987448038 @default.
- W2046945863 cites W1996791665 @default.
- W2046945863 cites W2000579345 @default.
- W2046945863 cites W2002153410 @default.
- W2046945863 cites W2004151405 @default.
- W2046945863 cites W2012263050 @default.
- W2046945863 cites W2022238400 @default.
- W2046945863 cites W2023102110 @default.
- W2046945863 cites W2024081693 @default.
- W2046945863 cites W2026713997 @default.
- W2046945863 cites W2029032342 @default.
- W2046945863 cites W2031941503 @default.
- W2046945863 cites W2032128090 @default.
- W2046945863 cites W2034890074 @default.
- W2046945863 cites W2036535768 @default.
- W2046945863 cites W2049636344 @default.
- W2046945863 cites W2058651287 @default.
- W2046945863 cites W2058959737 @default.
- W2046945863 cites W2067014236 @default.
- W2046945863 cites W2071436107 @default.
- W2046945863 cites W2081395877 @default.
- W2046945863 cites W2088321043 @default.
- W2046945863 cites W2089289205 @default.
- W2046945863 cites W2091499259 @default.
- W2046945863 cites W2092376709 @default.
- W2046945863 cites W2098482917 @default.
- W2046945863 cites W2101957308 @default.
- W2046945863 cites W2109051294 @default.
- W2046945863 cites W2114219399 @default.
- W2046945863 cites W2120800347 @default.
- W2046945863 cites W2121961451 @default.
- W2046945863 cites W2128372317 @default.
- W2046945863 cites W2131018918 @default.
- W2046945863 cites W2133895048 @default.
- W2046945863 cites W2137549106 @default.
- W2046945863 cites W2144255787 @default.
- W2046945863 cites W2144356599 @default.
- W2046945863 cites W2160413185 @default.
- W2046945863 cites W2160969889 @default.
- W2046945863 cites W2169375600 @default.
- W2046945863 cites W2169749005 @default.
- W2046945863 cites W2335127529 @default.
- W2046945863 cites W4299506498 @default.
- W2046945863 doi "https://doi.org/10.2134/jeq2010.0133" @default.
- W2046945863 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21520759" @default.
- W2046945863 hasPublicationYear "2011" @default.
- W2046945863 type Work @default.
- W2046945863 sameAs 2046945863 @default.
- W2046945863 citedByCount "31" @default.
- W2046945863 countsByYear W20469458632012 @default.
- W2046945863 countsByYear W20469458632013 @default.
- W2046945863 countsByYear W20469458632015 @default.
- W2046945863 countsByYear W20469458632016 @default.
- W2046945863 countsByYear W20469458632017 @default.
- W2046945863 countsByYear W20469458632018 @default.
- W2046945863 countsByYear W20469458632019 @default.
- W2046945863 countsByYear W20469458632020 @default.
- W2046945863 countsByYear W20469458632021 @default.
- W2046945863 countsByYear W20469458632022 @default.
- W2046945863 countsByYear W20469458632023 @default.
- W2046945863 crossrefType "journal-article" @default.
- W2046945863 hasAuthorship W2046945863A5026914107 @default.
- W2046945863 hasAuthorship W2046945863A5053107798 @default.
- W2046945863 hasAuthorship W2046945863A5059408274 @default.
- W2046945863 hasAuthorship W2046945863A5071486538 @default.
- W2046945863 hasConcept C105795698 @default.
- W2046945863 hasConcept C119857082 @default.
- W2046945863 hasConcept C127413603 @default.
- W2046945863 hasConcept C142796444 @default.
- W2046945863 hasConcept C150547873 @default.
- W2046945863 hasConcept C186699998 @default.
- W2046945863 hasConcept C187320778 @default.
- W2046945863 hasConcept C18903297 @default.
- W2046945863 hasConcept C2780648208 @default.
- W2046945863 hasConcept C2780797713 @default.
- W2046945863 hasConcept C2781026758 @default.
- W2046945863 hasConcept C33923547 @default.
- W2046945863 hasConcept C39432304 @default.
- W2046945863 hasConcept C41008148 @default.
- W2046945863 hasConcept C4792198 @default.
- W2046945863 hasConcept C76886044 @default.