Talks

I was invited to represent ABMI at the Multi-taxa Monitoring in North America symposium, North American Congress for Conservation Biology, Madison, Wisconsin, July 18, 2016. The symposium was organized by Michael Lucid (Idaho Department of Fish and Game). It was great to see all the good work happening in North America, and the commitment to push the agenda of multi-taxa monitoring against critics and scarce funding (of course Alberta ‘has all the oil money’).

We presented a poster at the ICCB/ECCB 2015 congress in Montpellier, France, that summarized our research on single visit methodology.

The ABMI hosted its 2nd annual Speakers’ Series ‘Better Environmental Management Through Monitoring 2015’ to understand distribution of biodiversity and to inform sustainable resource development and biological conservation in Alberta.

I presented a guest lecture ‘Data cloning: bridging the Bayesian and frequentist statistical paradigms’, at the Budapest R User Group meetup, Budapest, Hungary.

Discussing problems vs. finding solutions: an operational framework for dealing with imperfect detection in species distribution modelling, International Statistical Ecology Conference 2014, Montpellier, France.

Development of predictive models for migratory landbirds and estimation of cumulative effects of human development in the oil sands areas of Alberta, Joint Oil Sands Monitoring: Cause-Effects Assessment of Oil Sands Activity on Migratory Landbirds, Edmonton, AB, 2014.

Statistical computing meets biodiversity conservation and natural resource management

How many birds are out there?

In a recent paper entitled “Lessons learned from comparing spatially explicit models and the Partners in Flight approach to estimate population sizes of boreal birds in Alberta, Canada” we developed improved, spatially explicit models for 81 land bird species in northern Alberta, Canada. We then compared these estimates of bird abundance to a commonly-used but non-spatially explicit estimate by Partners in Flight (PIF v 3.0) that’s based on the North American Breeding Bird Survey (BBS) data set. The publication is a result of years of collaboration between the ABMI, Boreal Avian Modelling (BAM) project, Canadian Wildlife Service (Environment and Climate Change Canada), and United States Geological Survey.

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