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There are 13923 results for: content related to: Novel methods improve prediction of species’ distributions from occurrence data

  1. You have free access to this content
    A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter

    Ecography

    Volume 36, Issue 10, October 2013, Pages: 1058–1069, Cory Merow, Matthew J. Smith and John A. Silander Jr

    Version of Record online : 18 JUN 2013, DOI: 10.1111/j.1600-0587.2013.07872.x

  2. You have free access to this content
    Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

    Ecography

    Volume 31, Issue 2, April 2008, Pages: 161–175, Steven J. Phillips and Miroslav Dudík

    Version of Record online : 28 MAR 2008, DOI: 10.1111/j.0906-7590.2008.5203.x

  3. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

    Ecography

    Volume 32, Issue 1, February 2009, Pages: 66–77, Jane Elith and Catherine H. Graham

    Version of Record online : 27 FEB 2009, DOI: 10.1111/j.1600-0587.2008.05505.x

  4. Use of simulated data from a process-based habitat model to evaluate methods for predicting species occurrence

    Ecography

    Volume 33, Issue 4, September 2010, Pages: 656–666, Justin D. Hoffman, Naikoa Aguilar-Amuchastegui and Andrew J. Tyre

    Version of Record online : 12 APR 2010, DOI: 10.1111/j.1600-0587.2009.05495.x

  5. You have free access to this content
    The effect of sample size and species characteristics on performance of different species distribution modeling methods

    Ecography

    Volume 29, Issue 5, October 2006, Pages: 773–785, Pilar A. Hernandez, Catherine H. Graham, Lawrence L. Master and Deborah L. Albert

    Version of Record online : 24 OCT 2006, DOI: 10.1111/j.0906-7590.2006.04700.x

  6. Can we model the probability of presence of species without absence data?

    Ecography

    Volume 34, Issue 6, December 2011, Pages: 1096–1105, Wenkai Li, Qinghua Guo and Charles Elkan

    Version of Record online : 5 MAY 2011, DOI: 10.1111/j.1600-0587.2011.06888.x

  7. Does accounting for imperfect detection improve species distribution models?

    Ecography

    Volume 34, Issue 4, August 2011, Pages: 659–670, Christopher T. Rota, Robert J. Fletcher Jr, Jason M. Evans and Richard L. Hutto

    Version of Record online : 19 JAN 2011, DOI: 10.1111/j.1600-0587.2010.06433.x

  8. How to assess the prediction accuracy of species presence–absence models without absence data?

    Ecography

    Volume 36, Issue 7, July 2013, Pages: 788–799, Wenkai Li and Qinghua Guo

    Version of Record online : 17 APR 2013, DOI: 10.1111/j.1600-0587.2013.07585.x

  9. Predicting species distributions based on incomplete survey data: the trade-off between precision and scale

    Ecography

    Volume 33, Issue 5, October 2010, Pages: 826–840, Veronika Braunisch and Rudi Suchant

    Version of Record online : 29 OCT 2010, DOI: 10.1111/j.1600-0587.2009.05891.x

  10. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

    Ecological Applications

    Volume 19, Issue 1, January 2009, Pages: 181–197, Steven J. Phillips, Miroslav Dudík, Jane Elith, Catherine H. Graham, Anthony Lehmann, John Leathwick and Simon Ferrier

    Version of Record online : 1 JAN 2009, DOI: 10.1890/07-2153.1

  11. Botanical richness and endemicity patterns of Borneo derived from species distribution models

    Ecography

    Volume 32, Issue 1, February 2009, Pages: 180–192, Niels Raes, Marco C. Roos, J. W. Ferry Slik, E. Emiel Van Loon and Hans ter Steege

    Version of Record online : 24 MAR 2009, DOI: 10.1111/j.1600-0587.2009.05800.x

  12. Inference from presence-only data; the ongoing controversy

    Ecography

    Volume 36, Issue 8, August 2013, Pages: 864–867, Trevor Hastie and Will Fithian

    Version of Record online : 17 MAY 2013, DOI: 10.1111/j.1600-0587.2013.00321.x

  13. Point pattern modelling for degraded presence-only data over large regions

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 60, Issue 5, November 2011, Pages: 757–776, Avishek Chakraborty, Alan E. Gelfand, Adam M. Wilson, Andrew M. Latimer and John A. Silander

    Version of Record online : 3 NOV 2011, DOI: 10.1111/j.1467-9876.2011.00769.x

  14. Species distribution modelling as a macroecological tool: a case study using New World amphibians

    Ecography

    Volume 35, Issue 6, June 2012, Pages: 539–548, Tiago S. Vasconcelos, Miguel Á Rodríguez and Bradford A. Hawkins

    Version of Record online : 24 OCT 2011, DOI: 10.1111/j.1600-0587.2011.07050.x

  15. You have full text access to this Open Access content
    Using species distribution models to identify suitable areas for biofuel feedstock production

    GCB Bioenergy

    Volume 2, Issue 2, April 2010, Pages: 63–78, JASON M. EVANS, ROBERT J. FLETCHER JR. and JANAKI ALAVALAPATI

    Version of Record online : 20 APR 2010, DOI: 10.1111/j.1757-1707.2010.01040.x

  16. You have free access to this content
    ModEco: an integrated software package for ecological niche modeling

    Ecography

    Volume 33, Issue 4, September 2010, Pages: 637–642, Qinghua Guo and Yu Liu

    Version of Record online : 30 JUN 2010, DOI: 10.1111/j.1600-0587.2010.06416.x

  17. You have free access to this content
    Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions

    Methods in Ecology and Evolution

    Volume 3, Issue 3, June 2012, Pages: 545–554, J. Andrew Royle, Richard B. Chandler, Charles Yackulic and James D. Nichols

    Version of Record online : 31 JAN 2012, DOI: 10.1111/j.2041-210X.2011.00182.x

  18. Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007)

    Ecography

    Volume 31, Issue 2, April 2008, Pages: 272–278, Steven J. Phillips

    Version of Record online : 28 MAR 2008, DOI: 10.1111/j.0906-7590.2008.5378.x

  19. Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections

    Diversity and Distributions

    Volume 16, Issue 1, January 2010, Pages: 84–94, Rubén G. Mateo, Thomas B. Croat, Ángel M. Felicísimo and Jesús Muñoz

    Version of Record online : 18 NOV 2009, DOI: 10.1111/j.1472-4642.2009.00617.x

  20. Evaluation of species distribution models by resampling of sites surveyed a century ago by Joseph Grinnell

    Ecography

    Volume 36, Issue 9, September 2013, Pages: 1017–1031, Adam B. Smith, Maria J. Santos, Michelle S. Koo, Karen M. C. Rowe, Kevin C. Rowe, James L. Patton, John D. Perrine, Steven R. Beissinger and Craig Moritz

    Version of Record online : 4 MAR 2013, DOI: 10.1111/j.1600-0587.2013.00107.x