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Wetland connectivity: understanding the dispersal of organisms that occur in Victoria’s wetlands draft


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Conclusion


Least cost analysis, circuit theory and GIS methods all offer greater realism in modelling connectivity, provided responses of organisms to landscape elements are known and the resolution of the landscape is sufficient to accurately assign resistance or permeability values. For many organisms our understanding of dispersal distances and movement behaviour limits the potential to accurately model connectivity.

Our appraisal of landscape connectivity models indicate that only a few approaches are capable of incorporating rules for landscape permeability, and the direction and scale of movement to produce realistic maps of connectivity for an organism(s) of interest. Although circuit theory accommodates most of these requirements it is computationally demanding, and this currently limits its application at a state-wide scale. GIS approaches offer similar level of realism but processing times are comparatively modest; at present they are the best option for modelling the connectivity of Victoria’s wetlands.

An ecosystem-based model of wetland connectivity that integrates patterns of connectivity for multiple species is desirable to guide strategic investment and planning, and to improve our understanding of how wetlands systems interface with other ecosystems. Producing an ecosystem-based wetland connectivity map could be achieved by integrating connectivity models for individual groups. Although such a map would be a useful tool for guiding policy, an understanding of the patterns of connectivity at a group or species level is needed to inform more targeted management. Identifying wetlands that are connected for multiple species may assist in prioritising wetlands site for conservation or restoration. This could be achieved by ranking wetlands based on the number of pathways for which they have a high connectivity score.

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