Potential changes in the distributions of latitudinally restricted Australian butterfly species in response to climate change

By Linda Beaumont, Lesley Hughes. 2002

206 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/142db5afd761ef689ea4b8a76fdb944fe838f8b3

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Citations in the corpus

Beyond long-term averages: making biological sense of a rapidly changing world (2014, methodology): “, present day +2°C), using climatic means [57-59].”
Ecology of butterflies in Europe (2009, methodology): “Beaumont et al. (2005) applied this approach to predict the spatial distribution of Australian butterfly species as a function of climate variables.”
Modelling non-equilibrium distributions of invasive species: a tale of two modelling paradigms (2009, methodology): “The models are being used to make projections of the potential geographical distribution of species under current or future climates (Rogers and Randolph 1993; Beaumont and Hughes 2002; Midgley et al. 2002; Estrada-Pena et al. 2006).”
Simulation of potential range expansion of oak disease caused by Phytophthora cinnamomi under climate change (2004, unknown): “With accumulated evidence of climate change (IPCC, 2001), the effects on ecosystems, communities and populations have received increasing attention (Chuine et al., 2000; Bale et al., 2002; Beaumont & Hughes, 2002; Peñuelas et al., 2002; Walther et al., 2002).”
How Useful Are Species Distribution Models for Managing Biodiversity under Future Climates (2010, background): “Some elements of climate are more tightly parameterized (e.g., temperature, ocean acidification) than others (e.g., precipitation patterns), and their accuracy and resolution have important ramifications for species– climate predictions (Beaumont and Hughes 2002, Watson 2008).”
Climate change at the landscape scale: predicting fine‐grained spatial heterogeneity in warming and potential refugia for vegetation (2009, background): “Errors in temperature estimates are usually stated as being o5% (e.g. Beaumont & Hughes, 2002), but the absolute magnitude of these errors can still be in the order of 1 1C when temperatures are approximately 20 1C.”
Diversity and assemblage structure of phytophagous Hemiptera along a latitudinal gradient: predicting the potential impacts of climate change (2005, methodology): “Va r ious methods have been used to predict how species and communities might be affected by climate change, including bioclimatic modelling (Hughes et al., 1996; Beaumont & Hughes, 2002 ), small-scale experiments in which factors such as temperature or CO2 are manipulated (e.g.”