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Developing Ecological Niche Models: Conceptual Workflows for Macroecological Analysis and Conservation Prioritization

Explore workflows for ecological niche modeling, including tasks like species interactions detection, distribution impacts evaluation, and invasion scenario development. Enhance conservation prioritization through mapping diversity patterns and species distributions. Evaluate data completeness, validate models, and study biodiversity representativeness. Discover new species, analyze population densities, and assess environmental surrogacy utility.

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Developing Ecological Niche Models: Conceptual Workflows for Macroecological Analysis and Conservation Prioritization

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  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

  10. Community/SEEK projects • Workflows that could require substantially different actors

  11. Others • Dispersal • Productivity from remotely-sensed imagery • ???

  12. Macroecology Needed

  13. Stat/process model comparison/calibration

  14. Environmental space

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

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