2010
DOI: 10.1016/j.ecolind.2009.07.009
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Developing a functional connectivity indicator to detect change in fragmented landscapes

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Cited by 56 publications
(25 citation statements)
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“…Both management actions require significant financial commitment and on-ground effort but are likely to have highly effective outcomes. Finally, we recommend further study that incorporates modelling of functional connectivity (Watts and Handley 2010) and explores patterns, timing and the role of perception distance in successful dispersal of ringtail possums, which would enable us to tailor effective management for the conservation of this and similarly sized arboreal marsupials in fragmented landscapes.…”
Section: Discussionmentioning
confidence: 98%
“…Both management actions require significant financial commitment and on-ground effort but are likely to have highly effective outcomes. Finally, we recommend further study that incorporates modelling of functional connectivity (Watts and Handley 2010) and explores patterns, timing and the role of perception distance in successful dispersal of ringtail possums, which would enable us to tailor effective management for the conservation of this and similarly sized arboreal marsupials in fragmented landscapes.…”
Section: Discussionmentioning
confidence: 98%
“…For example, the IFM could be adapted to incorporate the increased complexity in functional connectivity found in urban landscapes (Tannier et al 2016) instead of Euclidean distance between patches (e.g. Watts and Handley 2010). The generality of our method should therefore be tested by applying it to other study sites; one of the benefits of the method presented is that as long as data are available, it is fairly easily translated into a new study area.…”
Section: Discussionmentioning
confidence: 99%
“…For example, there may be regional synchrony in population dynamics of some species, or colonization and extinction rates may vary over time (Ovaskainen, 2002). Models can be built that account for complexities not included in the basic incidence function model (e.g., disturbance and spatial autocorrelation between habitats (Frank and Wissel, 1998;Kallimanis et al, 2005); asymmetric connectivity (Bode et al, 2008); or the impact of the matrix on dispersal (Watts and Handley, 2010)). …”
Section: Occupancy-based Metricsmentioning
confidence: 99%