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
Last Updated: 

3/2018

Typesort ascending Title Creator Date
Document A statistical explanation of MaxEnt for ecologists Elith, Jane, Phillips, Steven J., Hastie, Trevor, Dudik, Miroslav, Chee, Yung En, and Yates, Colin J. 2011
Document Spatial marine zoning for fisheries and conservation Klein, Carissa Joy, Steinback, Charles, Watts, Matthew, Scholz, Astrid J. and Possingham, Hugh P. 2009
Document Conservation planning with uncertain climate change projections Kujala, Heini, Moilanen, Atte, Araújo, Miguel B., and Cabeza, Mar 2013
Document An interoperable decision support tool for conservation planning Segan, Daniel B., Game, Edward T., Watts, Matthew E., Stewart, Romola R., and Possingham, Hugh P. 2011
Document Selecting thresholds of occurrence in the prediction of species distributions Liu, Canran, Berry, Pam M., Dawson, Terence P., and Pearson, Richard G. 2005
Document A brief tutorial on Maxent Phillips, Steven 2010
Document Marxan with Zones: software for optimal conservation based land- and sea-use zoning Watts, Matthew E., Ball, Ian R., Stewart, Romola S., Klein, Carissa J., Wilson, Kerrie, Steinback, Charles, Louival, Reinaldo, Kircher, LIndsay, and Possingham, Hugh P. 2009
Document Replacement cost: A practical measure of site value for cost-effective reserve planning Cabeza, Mar and Moilanen, Atte 2006
Document Using niche models with climate projections to inform conservation management decisions Schwartz, Mark W. 2012
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 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 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 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

Pages