Regional variation in habitat–occupancy thresholds: a warning for conservation planning

By J. Rhodes, J. Callaghan, Clive McAlpine, C. Jong, Michiala Bowen, D. Mitchell, Daniel Lunney, Hugh P. Possingham. 2008

114 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9243efd38e285813012f0e4861cc7e939cf3597f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. J. Rhodes
2. V. Ruiz‐Gutierrez
3. H. Grantham
4. Vito M. R. Muggeo
5. Hugh P. Possingham
6. Clive McAlpine
7. Elise F. Zipkin
8. A. Dhondt

In Ecology

1. Clive McAlpine
2. J. Rhodes
3. V. Ruiz‐Gutierrez
4. H. Grantham
5. Hugh P. Possingham
6. Elise F. Zipkin
7. A. Dhondt

In Nature and Landscape Conservation

1. V. Ruiz‐Gutierrez
2. H. Grantham
3. Vito M. R. Muggeo
4. Hugh P. Possingham
5. J. Rhodes
6. Elise F. Zipkin
7. A. Dhondt

Citations in the corpus

• Modelling climate-change-induced shifts in the distribution of the koala (2011, background): “Koalas are highly sensitive to habitat loss and fragmentation (McAlpine et al. 2006;Rhodes et al. 2008) as indicated in a recent population decline of 51% in less than three years in a rapidly urbanising region of south-eastern Queensland, Australia (DERM 2009).”
• Interval estimation for the breakpoint in segmented regression: a smoothed score‐based approach (2017, background): “…framework in many areas, including climatology, environmental epidemiology, and ecology (Shao & Campbell 2002; Toms & Lesperance 2003; Bang, Mazumdar & Spence 2006; Muggeo 2008a; Rhodes et al. 2008), where the breakpoint represents a threshold value having substantive and practical interest.”
• Can multiscale models of species’ distribution be generalized from region to region? A case study of the koala (2008, background): “The low‐moderate level of discrimination ability of the models for each region reflects either large and noisy data sets, the possibility that an important explanatory variable was excluded, or that some habitat relationships may be nonlinear ( Rhodes et al. 2008 ).”
• Occupancy dynamics in a tropical bird community: unexpectedly high forest use by birds classified as non‐forest species (2010, background): “However, occupancy dynamics have also been shown to be highly landscape-spe-cific, and to vary by region (Castellon & Sieving 2006; Rhodes et al. 2008; Watson et al. 2008).”