1. Ecological Niche Modeling Conceptual Workflows Deana Pennington University of New Mexico December 16, 2004

2. Wed/Thursday  Wed morning: Kepler training  Wed afternoon: Workflows that can be slightly modified from the mammal/climate change workflow (community + help from SEEK)  Thurs: Workflows that require substantive new functionality

3. User list  Kepler-project.org ->Getting involved ->kepler-users mailing list

4. Usability  Survey and consent forms http://www.surveymonkey.com/s.asp?u=90778724262

5. Community projects  Workflows that could be done with minor modification to the mammal/climate change workflow

6. Variations on CC theme  Paleoclimates  Analysis for all species, undeveloped country  Other places/other species  Different scales

7. Re-sampling: bootstrapping and jacknifing Working

8. Invasive Species

9. Monitoring

12. Community/SEEK projects  Workflows that could require substantially different actors

13.  Dispersal  Productivity from remotely- sensed imagery  ??? Others

14. Macroecology Needed

15. Stat/process model comparison/calibration

16. Environmental space

17. ENM Tasks 1. Detecting species interactions 2. Evaluate impacts on species’ distributions (e.g., human activities, environmental characteristics, interactions, history, ecology, etc.) 3. Designing monitoring systems (e.g., under climate change scenarios) 4. Map genetic diversity onto biogeographic patterns/species distributions/landscape diversity 5. Map biogeographic/phylogeographic patterns across multiple species 6. Time series analyses of species’ distributions; analysis of coupling/decoupling of species’ ecological nichs through time 7. Developing scenarios of invasion and filling a potential distribution 8. Discovery of new species (prediction of) 9. Constrain of potential distributional areas to actual distributional areas 10. Model validation 11. Inference of physiological parameters from distributions or vice versa 12. Evaluate dispersal capabilities 13. Macroecological analysis Conservation prioritization (complementarity, etc.) Analysis of beta-alpha-gamma diversity, etc. Other manifestations… 14. Predict densities of populations (persistence) 15. Analysis of completeness of data sets (e.g., inventory completeness) 16. Using known interactions to reconstruct systems (e.g., diseases) 17. Overlay biotic patterns with human activity (e.g., land use) Single species Multiple species 18. Evaluate utility of environmental surrogacy for representing biodiversity information 19. Classification of biotic domains into a regionalization 20. Evaluation of representativeness and bias in data sets (realm/range of inference) 21. Detection of errors in data sets (quality control for taxonomy and geographic references in data sets ) 22. Model validation 23. Model ecosystems (e.g., species composition) based on simulated/created data sets to evaluate different techniques