Climate change and habitat destruction: a deadly anthropogenic cocktail

By Justin M. J. Travis. Proceedings of the Royal Society of London. Series B: Biological Sciences, 2003

817 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b0ff23d42dcd2318f6c145f534fe0dfa9d859d79

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Citations in the corpus

Moving beyond static species distribution models in support of conservation biogeography (2010, methodology): “Patch occupancy models have recently been used to predict a threshold effect of climate change-induced habitat loss on species viability (Travis, 2003) and to contrast the effects of habitat fragmentation versus range expansion under climate change (Wilson et al., 2009).”
Microevolutionary Response to Climatic Change (2004, background): “…are less likely to survive environmental changes as both their potential for adapting to new conditions in situ and the potential for evading these conditions by dispersal to areas with more favourable environmental conditions, i.e., range shifts, are restricted (Simberloff, 1995; Travis, 2003).”
Rethinking species' ability to cope with rapid climate change (2011, background): “But beyond affecting species directly, land-use changes have a marked impact on the ability of species to deal with climate change (see e.g. Travis, 2003), and climate change enhances the negative impact of habitat and landscape changes.”
Response of British lichens to climate change scenarios: Trends and uncertainties in the projected impact for contrasting biogeographic groups (2007, methodology): “…used in model projection (Hulme et al., 2002), (ii) the ability of species to migrate into suitable habitat in response to changing climate (Travis, 2003; Pearson and Dawson, 2005), (iii) the opportunity for evolutionary adaptation of species in situ (Franks et al., 2007) and (iv) climate…”
Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data (2004, background): “threats posed are significant, but the interaction between the two factors could be disastrous (Travis 2003).”
Phenological advancement in arctic bird species: relative importance of snow melt and ecological factors (2014, background): “Many factors, including migration strategy (Both and Visser 2001), food availability (Weidinger and Král 2007), population size (Dunn 2004), body mass (Crick and Sparks 1999), habitat requirements (Travis 2003), and predation (Wiklund 1984; Visser and Both 2005), can influence when animals breed.”
Which species will succesfully track climate change? The influence of intraspecific competition and density dependent dispersal on range shifting dynamics (2007, background): “) This allows for the more realistic scenario that the patch becomes gradually more suitable as it is approached by the climate window, rather than suddenly being able to support a large population as is implicit in climate niche models, and also the model of Travis (2003). Initially the dynamics of”
Drought-driven change in wildlife distribution and numbers: a case study of koalas in south west Queensland (2011, background): “The interaction of habitat loss, fragmentation, and climate extremes will increase pressure on some populations and species, particularly in isolated trailing-edge populations where dispersal ability is limited (Travis 2003; Thomas et al. 2004).”
Combined effects of habitat modification on trait composition and species nestedness in river invertebrates (2010, background): “Biodiversity loss and impairment are occurring at unprecedented rates driven by climate change, habitat modification and habitat loss (Travis, 2003).”
Using niche‐based modelling to assess the impact of climate change on tree functional diversity in Europe (2006, background): “For this exercise we ignored the impacts of changing land use on species range, although we acknowledge it can compound the effects of climate change on species (Travis, 2003).”
Mechanistic simulation models in macroecology and biogeography: state‐of‐art and prospects (2017, background): “Another class of drivers involve direct human activities, such as habitat modifications, including loss (Travis 2003, Sarmento Cabral et al. 2013), restoration (García-Valdés et al. 2015), and corridors (Krug et al. 2010).”
Precipitation mediates the effect of human disturbance on the Brazilian Caatinga vegetation (2017, background): “…there have been increasing evidence that climate change and disturbance can have complex (sometimes synergistic) effects on biodiversity (Travis 2003; Ponce-Reyes et al. 2013; Garc ıa-Vald es et al. 2015), with hot and arid environments likely to be at greatest risk (Anderson-Teixeira…”
Old‐growth forests buffer climate‐sensitive bird populations from warming (2018, background): “Although recent simulation studies have projected the interacting effects of land cover and climate on plant and animal populations (Maggini et al., 2014; Travis, 2003), there are still very few empirical tests of the degree to which such interactions occur in nature (Sirami et al., 2017).”