A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning

By J. Scoble, Andrew Lowe. 2010

127 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/c11733452ebecfe12d13cc2777bf87288ceae259

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. D. Richardson
2. A. Bunn
3. Ming Xu
4. K. He
5. Renqiang Li
6. Robert J. Whittaker
7. Xinhai Li
8. Shuai Qiu

In Ecology

1. Ming Xu
2. A. Bunn
3. D. Richardson
4. Renqiang Li
5. Robert J. Whittaker
6. Xinhai Li
7. Shuai Qiu
8. B. L. Webber

In Genetics

1. A. Bunn
2. D. Richardson
3. K. He
4. Robert J. Whittaker
5. Xuelong Jiang
6. E. DeChaine
7. B. Forester

Citations in the corpus

• Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions (2013, background): “One proposal for the improvement of SDMs is to integrate phylogeography (Scoble & Lowe, 2010), which examines the current geographic distribution of genetic variation within and between populations to infer demographic history and how palaeoclimatic events have impacted population divergence…”
• Conservation biogeography – foundations, concepts and challenges (2010, background): “…the following broad themes (with some belonging in more than one category): species distribution modelling (Franklin, 2010; Gallien et al., 2010; Scoble & Lowe, 2010); data requirements (Devictor et al., 2010; Robertson et al., 2010); approaches for assigning conservation priorities (Cadotte &…”
• Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models (2014, background): “…range shifts and biodiversity (Stralberg et al., 2009; Webber et al., 2011), invasive species potential range expansion (Ebeling et al., 2008; V aclav ık & Meentemeyer, 2009), epidemic risks from pathogens (Meentemeyer et al., 2008) and phylogeography (Scoble & Lowe, 2010; Schorr et al., 2012).”
• Sky islands of southwest China. I: an overview of phylogeographic patterns (2014, background): “More importantly, it can predict potential genetic diversity loss and help to develop environmental planning [104].”
• Climate change‐induced decline in bamboo habitats and species diversity: implications for giant panda conservation (2015, methodology): “Incorporating phylogeography and landscape genetics into SDMs can be used to address climate adaptation (Scoble & Lowe, 2010).”