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Integration of Habitat Models and Metapopulation Models to Investigate the Potential Impacts of Climate Change on Triunia robusta
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Integration of Habitat Models and Metapopulation Models to Investigate the Potential Impacts of Climate Change on Triunia robusta

Yoko Shimizu, Arnon Accad, Richard A Warrick, Scott Burnett, Michael A Powell and Alison Shapcott
International Meeting of the Association for Tropical Biology and Conservation (ATBC), 2010 (Bali, Indonesia, 19-Jul-2010–23-Jul-2010)
2010
url
http://atbc2010.org/View
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Abstract

Plant Biology
Climate change is already affecting plant distributions, and the species predicted to be the most vulnerable to climate change are the ones that have small and isolated populations and low genetic diversity. Many studies have modelled the potential impact of climate change on plant distributions, however, most of them are based on geographical and a-biotic factors and often ignore the potential effects on demography of a species. Triunia robusta is a small rainforest shrub endemic to the Sunshine Coast, Queensland, Australia. The species is nationally listed as endangered and its habitat is restricted to small subtropical rainforest fragments. Habitat models and metapopulation models are extremely useful tools for species conservation at the demographic, geographical and landscape scale, although few studies have demonstrated the integration of both. This research focuses on investigating the potential long-term viability and extinction risk of T. robusta under projected climate change scenarios through a combination of habitat and metapopulation modelling. Field surveys will be conducted to re-census populations of T. robusta extending the existing data surveyed in 1999 to obtain demographic population parameters and to obtain seed dispersal data. This, combined with genetic and demographic data, and habitat models of T. robusta from previous studies will be used to develop a comprehensive habitat/metapopulation model. An integrated climate change model will also be utilized to investigate possible climate change potential habitat for the species. This research will guide land managers in adaptive management of threatened species under climate change scenarios.

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