2018
DOI: 10.1007/s11273-018-9641-8
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Biodiversity-friendly designs for gravel pit lakes along the Drina River floodplain (the Middle Danube Basin, Serbia)

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Cited by 13 publications
(28 citation statements)
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“…Gravel pit lakes in Lower Saxony, Germany, were found to host substantial species diversity and a high proportion of the regional species pools of aquatic and riparian taxa, especially trees, Odonata, and waterfowl. This finding supports related work in other areas of Europe (Damnjanovi c et al, 2018;Holtmann, Juchem, Brüggeshemke, Möhlmeyer, & Fartmann, 2018;Oertli, 2018;Spyra & Strzelec, 2019), yet only small proportions of the regional species pools were detected for vascular plant species, submerged macrophytes, songbirds, and amphibians. In particular, amphibians are considered very sensitive to predation from fish (Hecnar & M'Closkey, 1997), and none of the study lakes were free of fish (Matern et al, 2019).…”
Section: Biodiversity Potential Of Gravel Pit Lakessupporting
confidence: 91%
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“…Gravel pit lakes in Lower Saxony, Germany, were found to host substantial species diversity and a high proportion of the regional species pools of aquatic and riparian taxa, especially trees, Odonata, and waterfowl. This finding supports related work in other areas of Europe (Damnjanovi c et al, 2018;Holtmann, Juchem, Brüggeshemke, Möhlmeyer, & Fartmann, 2018;Oertli, 2018;Spyra & Strzelec, 2019), yet only small proportions of the regional species pools were detected for vascular plant species, submerged macrophytes, songbirds, and amphibians. In particular, amphibians are considered very sensitive to predation from fish (Hecnar & M'Closkey, 1997), and none of the study lakes were free of fish (Matern et al, 2019).…”
Section: Biodiversity Potential Of Gravel Pit Lakessupporting
confidence: 91%
“…The data were processed using BioBase (Navico, Minneapolis, MN), and the post‐processed data (depth and Global Positioning System (GPS) position per ping) were used to calculate depth contour maps using ordinary kriging with the gstat package in r 3.5.1 (Gräler, Pebesma, & Heuvelink, 2016; R Core Team, 2013). Maximum depth and relative depth ratio (Damnjanović et al , 2018) were extracted from the contour maps. Shoreline length and lake area were estimated in qgis 3.4.1 and used to calculate the shoreline development factor ( SDF ), which is the ratio of the lake shoreline length ( L ) to the circumference of a circle with the same area ( A ): SDF=L2πA.…”
Section: Methodsmentioning
confidence: 99%
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“…Our comparative study revealed that gravel pit lakes managed and used by anglers constitute a 1 highly suitable environment for hosting a large diversity and a large fraction of regional species pool 2 of aquatic and riparian species associated with lakes. This finding joins related work that has revealed 3 that gravel pits are suitable habitats for multiple vertebrate and invertebrate taxa, some of which 4 have very high conservation value (Damnjanović et al, 2018;Emmrich et al, 2014;Matern et al, in 5 press; Søndergaard et al, 2018; Völkl, 2010). We were unable to reject our null hypothesis of no 6 differences in aquatic and riparian biodiversity in and at angler-managed lakes compared to 7 unmanaged ones.…”
Section: Discussionsupporting
confidence: 79%
“…The post-78 processed raw data (depth and gps-position per ping) were used to calculate depth contour maps 79 using ordinary kriging with the gstat-package in R (Gräler, Pebesma, & Heuvelink, 2016;Pebesma, 80 2004; R Core Team, 2013). The contour maps were used to extract maximum depth and also used for 81 the calculation of the relative depth ratio (see Damnjanović et al, 2018). Shoreline length and lake 82 area were estimated in QGIS 3.4.1, and the shoreline development factor (Osgood, 2005) ISO 11732, 2005), and Chl-a was enumerated using high performance liquid chromatography (HPLC) 92 (Mantoura & Llewellyn, 1983; S. W. Wright, 1991).…”
Section: Recreational Use Intensity 62mentioning
confidence: 99%