Resource Image

Advancing population ecology with integral projection models: a practical guide

Author(s): Cory Merow1, Johan Dahlgren2, Jessica Metcalf3, Dylan Childs4, Margaret Evans5, Eelke Jongejans6, Sydne Record7, Mark Rees4, Roberto Salguero-Gómez8, Sean McMahon9

1. Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA 2. Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden 3. Department of Zoology, Oxford University, Oxford, UK 4. Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK 5. Laboratory of Tree-Ring Research and Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA 6. Department of Animal Ecology and Ecophysiology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, The Netherlands 7. Harvard University, Harvard Forest, Petersham, MA, USA 8. Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, Qld, Australia 9. Smithsonian Environmental Research Center, Edgewater, MD, Edgewater, MD, USA

857 total view(s), 177 download(s)

0 comment(s) (Post a comment)

Summary:
Integral projection models (IPMs) use information on how an individual's state influences its vital rates – survival, growth and reproduction – to make population projections using regression models and covariates.

Usage

Total Views

857

The above numbers reflect non-unique views of the page, which may include multiple views in the same day by the same user.

Total Downloads

177

The above numbers reflect non-unique user access to the linked content, which includes but is not limited to primary access button clicks, bundle downloads, and supporting documents.