Making the Most of Sparse Data for Wildlife Risk Assessments, with Ryan Hill

The wildlife risk assessment that could: overcoming sparse dose-response data. Risk assessments for wildlife species are plagued by a lack of dose-response data tailored for those wildlife species. Although data may exist for different endpoints in the same or related animal taxa, such data remains difficult to evaluate and incorporate. Ryan Hill and colleagues offer solutions to tackling this problem in their critical review appearing in the January 2014 issue of IEAM. Hill et al. prescribe tips for compiling sparse data to make it relevant, demonstrate graphical evaluations of sparse data, and discuss modeling options for simple vs. complex data sets.

Podcast available on iTunes and YouTube

About the Guest
IEAM_podcast_14_Rich_HillRyan Hill is a partner with the Azimuth Consulting Group based in Vancouver, BC. Hill was educated as an applied ecologist, and he has almost 20 years of experience in Canada and abroad as a consultant and a staff member of intergovernmental organizations, including the United Nations. He specializes in the design and implementation of risk assessments and environmental monitoring programs for large and complex sites such as mines and industrial waterfronts. Hill’s main area of interest lies in characterizing scientific uncertainties and ensuring that decision-making processes address uncertainty in an informed manner.

Articles Referenced in this Podcast
Hill et al. 2014. Using sparse dose–response data for wildlife risk assessment. IEAM 10#1:3–11.

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