Migration rate limitations on climate change‐induced range shifts in Cape Proteaceae

By Guy F. Midgley, G. Hughes, Wilfried Thuiller, A. Rebelo. 2006

200 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b2bdf2f669b591f97bca71a3275a7dab28e6cd8f

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

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Interrogating recent range changes in South African birds: confounding signals from land use and climate change present a challenge for attribution (2011, background): “…of developing dynamic models of species’ potential range shifts and changing abundances, rather than relying on static, BEM-type models which have optimistic, underlying assumptions about the ability of organisms to track shifting bioclimatic envelopes (Midgley et al., 2006; Huntley et al., 2010).”
Response of British lichens to climate change scenarios: Trends and uncertainties in the projected impact for contrasting biogeographic groups (2007, background): “…application in conservation, e.g. incorporating habitat structure (Pearson et al., 2004; Luoto et al., 2007) and dispersal parameters (Araújo et al., 2004; Midgley et al., 2006; Thuiller et al., 2006), has been restricted to a limited range of species, predominantly animals and vascular plants.”
Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates (2011, background): “7), whereas integrating dispersal rate estimates in BEMs (Midgley et al., 2006) or combining BEM and migration model projections (Iverson et al.”
Applications of species distribution modeling to paleobiology (2011, background): “ant-/rodentdispersed seeds (Midgley et al., 2006; also cf. Skov and Svenning, 2004).”
Climate, competition and connectivity affect future migration and ranges of European trees (2012, background): “First, more complex models inherently contain more uncertainty (Midgley et al., 2006; Thuiller et al., 2008).”
Assisted colonization in a changing climate: a test‐study using two U.K. butterflies (2009, background): “Climate change; distributions; introductions; range margin; range shift; assisted colonization.”
Climate change hastens the turnover of stream fish assemblages (2008, background): “It has also been suggested to consider the distance that could be reasonably covered by species (Peterson, 2003; Midgley et al., 2006; Ohlemüller et al., 2006).”
Assessing the vulnerability of European butterflies to climate change using multiple criteria (2010, background): “Thus integrating even rather simple measures of dispersal ability and habitat specificity in bioclimatic model-based risk assessments might improve identification of the most vulnerable species (Dennis and Shreeve 1991; Brereton et al. 1995; Beaumont and Hughes 2002; Midgley et al. 2006).”
Climate change and bet‐hedging: interactions between increased soil temperatures and seed bank persistence (2009, background): “Dispersal capability varies widely among plant species and for many it is likely that migration will not enable persistence in the face of rapid climate change (Neilson et al., 2005; Thuiller et al., 2005; Midgley et al., 2006; Morin et al., 2008).”
Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia (2008, methodology): “For example, Williams et al. (2005) and Midgley et al. (2006) used a ‘time-slice’ method and assigned an average migration rate per unit time to Proteaceae species based on seed morphology.”
The projected effects of climatic and vegetation changes on the distribution and diversity of Southeast Asian bats (2012, background): “Decreases in species range area have been predicted for plants in response to climate change (Midgley et al., 2006), and biome change is likely in some regions.”
Integrating species distribution models and interacting particle systems to predict the spread of an invasive alien plant (2010, methodology): “…beginning to be developed in the context of both climate change research and invasion biology, either using hypothetical dispersal estimates (e.g. Midgley et al., 2006), or as complex models with explicit representations of local population dynamics and data-based dispersal kernels (Dullinger et…”
Individualistic species limitations of climate‐induced range expansions generated by meso‐scale dispersal barriers (2011, background): “…climate-tracking response owing to dispersal capability have been suggested as a limiting factor in range shifts of Proteaceae in the Cape Floristic Region of South Africa (Midgley et al., 2006), and in migration rates of tree species towards the end of the glacial period in Europe (Pearson, 2006).”
The Mediterranean Sea as a ‘cul‐de‐sac’ for endemic fishes facing climate change (2010, background): “Dispersion is very difficult to model, especially at the leading edge of a species range shift (Midgley et al., 2006; Thuiller et al., 2008).”