Dataset supporting the University of Southampton Doctoral Thesis: 'the ecological effects of physical habitat restoration in English chalk streams' by Lewis Adam Dolman

Abstract

Dataset supporting the University of Southampton Doctoral Thesis: 'The ecological effects of physical habitat restoration in English chalk streams' by Lewis Adam Dolman. This dataset contains data (excel files) for: CHAPTER 5 - 'Quantifying the environmental impacts of low-head weirs and their removal in low power chalk streams'. This includes physical habitat and ecological monitoring data collected at a case study weir removal on the River Test (Hampshire, UK) and data collated from the Environment Agency's 'Fish and Ecology Data Explorer'. CHAPTER 6 - 'Chalk stream restoration - physical and ecological responses to gravel augmentation'. This includes physical habitat and ecological monitoring data collected at two case study gravel augmentation restoration sites on the River Test and Itchen (Hampshire, UK). CHAPTER 7 - 'Restoration over time - the physical and ecological responses to restoration in an English chalk stream'. This includes physical habitat and ecological monitoring data collected at two case study instream physical habitat restoration sites on the River Test (Hampshire, UK). Additionally, control macroinvertebrate datasets collated from the Environment Agency 'Fish and Ecology Data Explorer' and 'SmartRivers' dataset. CHAPTER 8 - 'Non-invasive population estimates of freshwater fishes using remote underwater video'. This includes data from an experiment aiming to understand whether it is possible to identify individual fish from unique identifiable features (e.g. spots, stripes) and morphometrics (i.e. body measurements) from photographs and underwater video. This is followed by an experiment exploring the accuracy of non-invasive population estimates created using mark-recapture estimates from underwater video and unique identifiable features. For further details on this dataset, see the 'README' file. This PhD was funded by the Engineering and Physical Sciences Research Council (EP/L01582X/1) and Environment Agency. Data Licence: CC BY

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