Species Distribution Modeling and Conservation Planning Workshop

In September of 2013 the CA LCC partnered with UC Davis Information Center for the Environment and Point Blue Conservation Science to offer a workshop on systematic conservation planning (see the CA LCC project description). The aim of the workshop was to present the state of the science for using spatial decision support tools to inform the conservation of plants and animals in the context of climate adaptation planning.

Presented here are the materials from the workshop, including reading lists, slide presentations, and lab exercises. These materials are free to use with attribution to the authors.
Preliminary Material

Outline of Workshop

Presentation Slides

Scenario Planning

Workshop Lab Exercises

Reading Lists and Online Resources

Complete List of Resources Mentioned in Workshop

Contributors to this article
Allan Hollander
Subjects:
Last Updated: 

3/2018

Typesort ascending Title Creator Date
Dataset Bias Corrected and Downscaled WCRP CMIP3 Climate and Hydrology Projections Bureau of Reclamation, Lawrence Livermore National Laboratory, Santa Clara University,Climate Central, Scripps Institution of Oceanography, and the U.S. Geological Survey 2007
Dataset Landsat U.S. Geological Survey
Dataset Conservation International Downscaled Climate Projections Conservation International
Article Web Resources for 2013 SDM Workshop
Article Reading List for 2013 SDM Workshop for Managers Point Blue and UC Davis
Article Systematic Reserve Design Hollander, A. H.
Article Reading List for 2013 SDM Workshop for Analysts Point Blue and UC Davis
Article Reading List for 2013 SDM Workshop - Marxan Case Studies
Document Simulating the effects of using different types of species distribution data in reserve selection Carvalho, Silvia B., Brito, José C., Pressey, Robert L., Crespo, Eduardo, and Possingham, Hugh P. 2010
Document The art of modelling range-shifting species Elith, Jane, Kearney, Michael, Phillips, Steven 2010
Document Uncertainty in coarse conservation assessments hinders the efficient achievement of conservation goals Hermoso, Virgilio and Kennard, Mark J. 2012
Document A review of methods for the assessment of prediction errors in conservation presence/absence models Fielding, Alan H. and Bell, John F. 1997
Document Predicting species distribution: offering more than simple habitat models Guisan, Antoine, Edwards, and Thullier, Wilfried 2005
Document Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish Leathwick, J.R., Rowe, D., Richardson, J., Elith, J. and Hastie, T. 2005
Document Planning for reserve adequacy in dynamic landscapes; maximizing future representation of vegetation communities under flood disturbance in the Pantanal wetland Lourival, Reinaldo, Drechsler, Martin, Watts, Matthew E., Game, Edward T. and Possingham, Hugh P.
Document A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter Merow, Cory, Smith, Matthew J., and Silander, John A. 2013
Document Identifying habitat conservation priorities and gaps for migratory shorebirds and waterfowl in California Stralberg, Diana, Cameron, D. Richard, Reynolds, Mark D., Hickey, Catherine M., Klausmeyer, Kirk, Busby, Sylvia M., Stenzel, Lynne E., Shuford, W. David, and Page, Gary W. 2011
Document Sensitivity of conservation planning to different approaches to using predicted species distribution data Wilson, K. A., M. I. Westphal, H. P. Possingham, and J. Elith 2005
Document Climate change and the future of California's endemic flora Loarie, Scott R., Carter, Benjamin E., Hayhoe, Katharine, McMahon, Sean, Moe, Richard, Knight, Charles A., Ackerly, David D., 2008
Document Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation Phillips, Steven J. and Dudik, Miroslav 2008

Pages