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Integrating Theory and Predictive Modeling for Conservation Research

  • Jeremy T. KerrEmail author
  • Manisha Kulkarni
  • Adam Algar
Chapter

Abstract

The need for effective techniques to predict how global changes will alter biological diversity has never been greater and continues to increase (Buckley and Roughgarden 2004; Thomas et al. 2004). Although accelerating climate and land use changes loom especially large, extinction rates have risen as a result of other types of threats as well – such as overkill and pollution. Individually, each of these perils is serious, but it is through their additive and sometimes synergistic interactions that the world is now in the midst of a sixth mass extinction (Wake and Vredenburg 2008).

Keywords

Spatial Autocorrelation Malaria Transmission Extinction Rate Entomological Inoculation Rate Malaria Risk 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

All authors would like to acknowledge research support from the Natural Sciences and Engineering Research Council, as well as infrastructure and research support from the Canadian Foundation for Innovation and the Ontario Ministry of Research and Innovation. We are grateful to three anonymous reviewers for their assistance in improving this work.

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Copyright information

© Springer Science+BUsiness Media, LLC 2011

Authors and Affiliations

  1. 1.Canadian Facility for Ecoinformatics Research, Department of BiologyUniversity of OttawaOttawaCanada

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