Using GIS for catchment management and freshwater salmon fisheries in Scotland: the DeeCAMP project

Webb, Abigail; Bacon, P. J.

doi:10.1006/jema.1998.0252

Cited by 9 publications

(5 citation statements)

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“…The advantages of using GIS for terrestrial studies of land use change has been acknowledged for some time and is now increasingly used for marine and coastal applications (Stanbury and Starr, 1999) and for fisheries management (Webb and Bacon, 1999). GIS is especially appropriate for use in time series and local analyses (particularly when the spatial units are parcels) and when used in combination with statistical modeling of temporal coastal land use changes (e.g., Luers et al, 2006;Crawford, 2007).…”

Section: Fisheries and Communitiesmentioning

confidence: 99%

Waterfront land use change and marine resource conditions: The case of New Bedford and Fairhaven, Massachusetts

Portman

Jin

Thunberg

2009

Ecological Economics

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A major challenge in gauging long-term and cumulative impacts of fisheries management on coastal fishing communities is the lack of understanding of the interactions between changes in fish stocks and waterfront land uses. This study examines these interactions in the New Bedford/Fairhaven area using parcel level data and geographic information system (GIS) tools. Logistic regression models were used to assess the impact of changes in marine resource abundance on waterfront land uses. Although land-use decisions are influenced by many complex market and regulatory factors, our study detected a significant relationship between fish stock conditions and coastal land uses.

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Section: Fisheries and Communitiesmentioning

confidence: 99%

Waterfront land use change and marine resource conditions: The case of New Bedford and Fairhaven, Massachusetts

Portman

Jin

Thunberg

2009

Ecological Economics

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“…GIS has been used as a tool for fishery management only in a few instances. For example, GIS has been used in respect of salmon habitat evaluation (Lunetta, Cosentino, Montgomery, Beamer & Beechie 1997), and in the management of the Dee River catchment, Scotland, with a view to managing its salmon fishery (Webb & Bacon 1999). The present study is an extension of earlier work on the development of suitable yield‐predictive models (Moreau & De Silva 1991; Nissanka et al .…”

Section: Introductionmentioning

confidence: 99%

Use of geographical information systems as a tool for predicting fish yield in tropical reservoirs: case study on Sri Lankan reservoirs

Silva¹,

Amarasinghe

Nissanka

et al. 2001

Fisheries Management Eco

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Use of geographical information systems (GIS) in inland fisheries has hitherto been essentially restricted to site evaluation for aquaculture development and assessment of limnological changes in time and space in individual water bodies. The present GIS study was conducted on the land‐use pattern of the catchments of nine reservoirs in Sri Lanka, for which detailed fishery data, viz. yield, fishing intensity, landing size of major constituent species, together with selected limnological data such as conductivity and chlorophyll‐a, were available. Potential statistical relationships (linear, curvilinear, exponential and second‐order polynomial) of fish yield (FY, in kg ha−1 yr−1) to different land‐use patterns, such as forest cover (FC, in km2) and shrub‐land (SL, in km2), either singly, or in combination, and/or the ratio of each land type to reservoir area (RA in km2) and reservoir capacity (RC in km3), were explored. Highly significant relationships were evident between FY to the ratio of SL and/or FC+SL to RA and/or RC. Similarly, the above land‐use types to RA and RC ratios were significantly related to limnological features of the reservoirs. The relationships of FY to various parameters obtained in this study were much better correlated than those relationships of FY to limnological and biological parameters used in yield prediction in tropical and temperate lacustrine waters previously.

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“…Models based on geographical information systems (GIS) that seek to predict the type and distribution of fish habitat are becoming increasingly widespread (Lunetta et al 1997; Webb and Bacon 1999; Tiffan et al 2002; Argent et al 2003; ), and stream channel slope is often an important factor in such models. The ability to predict changes in fish habitat resulting from dam removal and other river restoration activities will also depend on the methods used for estimating slope from GIS data sources.…”

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confidence: 99%

Factors Affecting Accuracy of Stream Channel Slope Estimates Derived from Geographical Information Systems

Neeson

Gorman

Whiting

et al. 2008

N American J Fish Manag

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Stream channel slope is often a critical component of geographical information systems (GIS)‐based models of preferred habitat of aquatic species, but the relative accuracy of various GIS slope derivation methods is not well established. We examined the accuracy of GIS‐derived stream slopes for a set of stream reaches in Idaho and Ohio. We also used the Ohio data set to examine in more detail the effects of stream reach length, source of GIS file representing the stream path (“shapefile”), and digital elevation model (DEM) resolution on the accuracy of GIS‐derived slopes. The accuracy of GIS‐derived slopes in the Ohio dataset improved with increasing reach length, but we could not draw any consistent conclusions about the effect of DEM resolution or shapefile. We present a simple and efficient method for improving GIS‐derived slopes by identifying probable elevation errors in the GIS‐derived longitudinal stream profiles. The resulting derived slopes were improved in all cases; the slopes derived by using a 10‐m DEM and a manually traced stream shapefile were the most accurate. We demonstrate how our results can be used to evaluate the feasibility of implementing a GIS‐based habitat model of sea lampreys Petromyzon marinus.

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Using GIS for catchment management and freshwater salmon fisheries in Scotland: the DeeCAMP project

Cited by 9 publications

References 0 publications

Waterfront land use change and marine resource conditions: The case of New Bedford and Fairhaven, Massachusetts

Waterfront land use change and marine resource conditions: The case of New Bedford and Fairhaven, Massachusetts

Use of geographical information systems as a tool for predicting fish yield in tropical reservoirs: case study on Sri Lankan reservoirs

Factors Affecting Accuracy of Stream Channel Slope Estimates Derived from Geographical Information Systems

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