Data format: Shapefile
Coordinate system: WGS_1984_UTM_Zone_34N
Location: http://www.helcom.fi
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Data format: Shapefile Coordinate system: WGS_1984_UTM_Zone_34N Location: http://www.helcom.fi |
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Abstract:
Reference: Bergström U, Sandström A, Sundblad G 2007. Fish habitat modelling in the Baltic Sea archipelago region. BALANCE Interim report 11. Available at http://www.balance-eu.org/.
Abstract: Young fishes are often dependent on certain habitats for their survival, and protecting these habitats may be crucial for maintaining strong adult stocks. An important step in providing sufficient protection for such essential fish habitats is reliable large-scale habitat mapping. One promising approach is that of spatial predicitive modelling, where statistical models relating species occurrence to environmental variables are coupled to geographic information systems (GIS). This approach was used for mapping spawning and nursery areas of a number of common coastal fishes in the large, complex, Swedish-Finnish archipelago area in the Northern Baltic Sea. Generalized additive models (GAM) were fitted to describe the relationship between fish occurrence and habitat variables. The resulting probability maps were subsequently transformed into categorical presence/absence maps. We show that using only a few environmental predictors, the main patterns of occurrence can be mapped. The maps produced in this study can be directly used in spatial planning within the area, and also will constitute the basis for analyses of the ecological connectivity of the Natura 2000-network within BALANCE. |
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Fiskeriverket, Kustlaboratoriet
Fiskeriverket, Kustlaboratoriet
Fiskeriverket, Kustlaboratoriet
Reference: Bergström U, Sandström A, Sundblad G 2007. Fish habitat modelling in the Baltic Sea archipelago region. BALANCE Interim report 11. Available at http://www.balance-eu.org/. Abstract: Young fishes are often dependent on certain habitats for their survival, and protecting these habitats may be crucial for maintaining strong adult stocks. An important step in providing sufficient protection for such essential fish habitats is reliable large-scale habitat mapping. One promising approach is that of spatial predicitive modelling, where statistical models relating species occurrence to environmental variables are coupled to geographic information systems (GIS). This approach was used for mapping spawning and nursery areas of a number of common coastal fishes in the large, complex, Swedish-Finnish archipelago area in the Northern Baltic Sea. Generalized additive models (GAM) were fitted to describe the relationship between fish occurrence and habitat variables. The resulting probability maps were subsequently transformed into categorical presence/absence maps. We show that using only a few environmental predictors, the main patterns of occurrence can be mapped. The maps produced in this study can be directly used in spatial planning within the area, and also will constitute the basis for analyses of the ecological connectivity of the Natura 2000-network within BALANCE.
Fiskeriverket, Kustlaboratoriet