Choosing (and making available) the right environmental layers for modeling how the environment controls the distribution and abundance of organisms

Principal Investigators:

Brian McGill, Robert Guralnick, Walter Jetz, and Jana McPherson

We seek to understand how the environment controls species distributions. Despite the fact that a great deal of work in physiology has been done on this problem and that literally thousands of niche models (regressions of distribution on environment) have been run, we know surprisingly little about basic questions. Which aspects of environment are most central in controlling the distribution and abundance of organisms? How does this change with organism? with scale? what are the mechanisms linking environment to species distributions? We propose... more

Participants and Meetings

Working Group Participants
ActivityDatesFurther Information
Working Group22nd—26th March 2010Participant List  
Working Group12th—16th October 2010Participant List  
Postdoctoral Fellow29th August 2012—14th January 2014Participant List  

Participant Contact Information

Jennifer K. Balchjennifer.balch@colorado.eduUniversity of California, Santa Barbara
Julia K. Baumbaum@uvic.caUniversity of Victoria
Lauren B. Buckleylbuckley@uw.eduUniversity of North Carolina, Chapel Hill
David Conklindavid.conklin@mac.comOregon State University
John C. Donoghuedonoghue@email.arizona.eduUniversity of Arizona
Jane Elithj.elith@unimelb.edu.auUniversity of Melbourne
Simon Ferriersimon.ferrier@csiro.auCSIRO Entomology
Rodney Forsterrodney.forster@cefas.co.ukCentre for Environment, Fisheries and Aquaculture Science
Robert Guralnickrobgur@gmail.comUniversity of Colorado, Boulder
Robert J. Hijmansrhijmans@ucdavis.eduUniversity of California, Davis
Walter Jetzwalter.jetz@yale.eduYale University
John Leathwickj.leathwick@niwa.co.nzNational Institute of Water and Atmospheric Research
Christy M. McCainchristy.mccain@colorado.eduUniversity of Colorado, Boulder
Brian McGillmail@brianmcgill.orgUniversity of Arizona
Jana McPhersonjana.mcpherson@dal.caDalhousie University
Ramakrishna R. Nemanirama.nemani@nasa.govNASA Ames Research Center
Stephanie Pauspau@fsu.eduUniversity of California, Santa Barbara
Steven Phillipsphillips@research.att.comAT&T Labs-Research
Thiago Fernando L. Rangelrangel.tf@gmail.comUniversity of Connecticut
Sassan S. SaatchiSasan.S.Saatchi@jpl.nasa.govCalifornia Institute of Technology
Florencia Sangermanofsangermano@clarku.eduClark University
Woody Turnerwoody.turner@nasa.govNational Aeronautics and Space Administration (NASA)
John Gallantjohn.gallant@csiro.auCommonwealth Scientific and Industrial Research Organisation (CSIRO)
Tien Ming Leetien.lee@yale.eduYale University
Benoit Parmentierparmentier@nceas.ucsb.eduUniversity of California, Santa Barbara

Products: Publications, Reports, Datasets, Presentations, Visualizations

TypeProducts of NCEAS Research
Journal Article Jetz, Walter; McPherson, Jana; Guralnick, Robert. 2012. Integrating biodiversity distribution knowledge: Toward a global map of life. Trends in Ecology and Evolution. Vol: 27. Pages 151-159. (Online version)
Journal Article Parmentier, Benoit; McGill, Brian; Wilson, Adam M.; Regetz, Jim; Jetz, Walter; Guralnick, Robert; Tuanmu, Mao-Ning; Robinson, Natalie S.; Schildhauer, Mark P. 2014. An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature. Remote Sensing . Vol: 6. Pages 8639-8670.
Journal Article Parmentier, Benoit; McGill, Brian; Wilson, Adam M.; Regetz, Jim; Jetz, Walter; Guralnick, Robert; Tuanmu, Mao-Ning; Schildhauer, Mark P. in press. Using multi-timescale methods ans satellite-derived land surface temperature for the interpolation of daily maximum air temperature in Oregon. International Journal of Climatology.
Journal Article Robinson, Natalie S.; Regetz, Jim; Guralnick, Robert. 2014. EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol: 87. Pages 57-67.
Report or White Paper Schildhauer, Mark P.; Swenson, Nathan G.; Ackerly, David D.; Jetz, Walter. unknown. Botanical geospatial diversity cyberinfrastructure.
Journal Article Tuanmu, Mao-Ning; Jetz, Walter. 2014. A global 1-km consensus land-cover product for biodiversity and ecosystem modelling. Global Ecology and Biogeography. Vol: 23. Pages 1030-1045.
Journal Article Tuanmu, Mao-Ning; Jetz, Walter. in press. A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling. Global Ecology and Biogeography.
Journal Article Wilson, Adam M.; Parmentier, Benoit; Jetz, Walter. 2014. Systematic land cover bias in collection 5 MODIS cloud mask and derived products-A global overview. Remote Sensing of Environment. Vol: 141. Pages 149-154.
"Choosing (and making available) the right environmental layers for modeling how the environment controls the distribution and abundance of organisms" is project ID: 12504