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Posts by iadine

Extinction risk in cloud forest fragments under climate change and habitat loss

This week Rocio Ponce presents her last paper published in Div & Dist. Well done! This research quantifies how climate and land use change, as major threats to biodiversity affect species persistence in Mexican cloud forests.  Read more

Summer readings on Adaptive Management by Cindy Hauser (University of Melbourne)

This week Cindy Hauser writes about our adaptive management reading workshop. This workshop was supported by iadine‘s Julius Award research grant. Cindy shares with us the papers she enjoyed reading (found the original post here). Read more

Apply for a research internship with the Conservation Decisions lab!

Sam Nicol and Iadine Chades are offering research internship projects for highly motivated students. These projects are suitable for students with a strong background in mathematics and proficient programming skills. In the past we have done some amazing work with students from French engineering schools. Read more

Migratory connectivity magnifies the consequences of sea-level rise

Tak‘s paper is out! Don’t miss the bottleneck index that we derived – a handy tool to predict the most important nodes.

Abstract: Sea-level rise (SLR) will greatly alter littoral ecosystems, causing habitat change and loss for coastal species. Habitat loss is widely used as a measurement of the risk of extinction, but because many coastal species are migratory, the impact of habitat loss will depend not only on its extent, but also on where it occurs. Here, we develop a novel graph-theoretic approach to measure the vulnerability of a migratory network to the impact of habitat loss from SLR based on population flow through the network. Read more

Join our team: 3-year postdoctoral fellowship on optimizing adaptive management

We are seeking a highly motivated and dynamic postdoctoral research fellow to join CSIRO Ecosystem Sciences’ conservation decisions team to undertake research on optimizing adaptive management decisions under imperfect detection. Read more

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