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Please use this identifier to cite or link to this item: http://hdl.handle.net/10793/850

Title: A predictive model for estimating river habitat area using GIS-derived catchment and river variables
Authors: McGinnity, P
de Eyto, E
Gilbey, J
Gargan, P
Roche, W
Stafford, T
McGarrigle, M
Ó Maoiléidigh, N
Mills, P
Keywords: Atlantic salmon
catchment area
eel
Ireland
Shreve index
wetted area
Issue Date: 2012
Publisher: Blackwell Publishing Ltd.
Citation: McGINNITY, P., DE EYTO, E., GILBEY, J., GARGAN, P., ROCHE, W., STAFFORD, T., McGARRIGLE, M., Ó′ MAOILÉIDIGH, N. and MILLS, P. (2012), A predictive model for estimating river habitat area using GIS-derived catchment and river variables. Fisheries Management and Ecology, 19: 69–77. doi: 10.1111/j.1365-2400.2011.00820.x
Abstract: The implementation of many fisheries management-related activities in fresh water depends on habitat area inventories over extensive geographical scales. While river lengths are readily available, representative widths, necessary for area calculations, are difficult to obtain. As field surveys to collect this information are resource intensive, a predictive model was developed to enable the calculation of river wetted width using GIS-derived values for catchment and river descriptors. A model containing upstream catchment area and the Shreve river drainage network index accounted for 88% of the variation in field measured river wetted width. Comparisons in Irish and Scottish rivers between modelled and measured widths were highly correlated and suggest that the model may be transferable to neighbouring geographic areas. As an example, the model is applied to provide an estimate of the usable fluvial habitat available to Atlantic salmon in Ireland.
Description: This is the pre-peer reviewed version of the following article: McGINNITY, P., DE EYTO, E., GILBEY, J., GARGAN, P., ROCHE, W., STAFFORD, T., McGARRIGLE, M., Ó′ MAOILÉIDIGH, N. and MILLS, P. (2012), A predictive model for estimating river habitat area using GIS-derived catchment and river variables. Fisheries Management and Ecology, 19: 69–77. doi: 10.1111/j.1365-2400.2011.00820.x, which has been published in final form at doi: 10.1111/j.1365-2400.2011.00820.x
peer-reviewed
URI: http://hdl.handle.net/10793/850
Appears in Collections:Peer Reviewed Scientific Papers

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