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There are 16415 results for: content related to: Does accounting for imperfect detection improve species distribution models?

  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
    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

  3. You have full text access to this OnlineOpen article
    Using presence-only and presence–absence data to estimate the current and potential distributions of established invasive species

    Journal of Applied Ecology

    Volume 48, Issue 1, February 2011, Pages: 25–34, Andrew M. Gormley, David M. Forsyth, Peter Griffioen, Michael Lindeman, David S.L. Ramsey, Michael P. Scroggie and Luke Woodford

    Version of Record online : 17 DEC 2010, DOI: 10.1111/j.1365-2664.2010.01911.x

  4. You have free access to this content
    Imperfect detection impacts the performance of species distribution models

    Global Ecology and Biogeography

    Volume 23, Issue 4, April 2014, Pages: 504–515, José J. Lahoz-Monfort, Gurutzeta Guillera-Arroita and Brendan A. Wintle

    Version of Record online : 29 NOV 2013, DOI: 10.1111/geb.12138

  5. 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

  6. The relative contribution of local habitat and landscape context to metapopulation processes: a dynamic occupancy modeling approach

    Ecography

    Volume 35, Issue 7, July 2012, Pages: 581–589, Sarah J. K. Frey, Allan M. Strong and Kent P. McFarland

    Version of Record online : 28 NOV 2011, DOI: 10.1111/j.1600-0587.2011.06936.x

  7. Improving species occupancy estimation when sampling violates the closure assumption

    Ecography

    Volume 36, Issue 12, December 2013, Pages: 1299–1309, Clint R. V. Otto, Larissa L. Bailey and Gary J. Roloff

    Version of Record online : 25 JUN 2013, DOI: 10.1111/j.1600-0587.2013.00137.x

  8. 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

  9. You have free access to this content
    Accounting for imperfect detection and survey bias in statistical analysis of presence-only data

    Global Ecology and Biogeography

    Volume 23, Issue 12, December 2014, Pages: 1472–1484, Robert M. Dorazio

    Version of Record online : 8 AUG 2014, DOI: 10.1111/geb.12216

  10. Mapping large-scale bird distributions using occupancy models and citizen data with spatially biased sampling effort

    Diversity and Distributions

    Volume 21, Issue 1, January 2015, Pages: 46–54, Motoki Higa, Yuichi Yamaura, Itsuro Koizumi, Yuki Yabuhara, Masayuki Senzaki and Satoru Ono

    Version of Record online : 11 SEP 2014, DOI: 10.1111/ddi.12255

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    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

  12. 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

  13. Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors

    Biometrics

    Volume 68, Issue 4, December 2012, Pages: 1303–1312, Robert M. Dorazio

    Version of Record online : 31 AUG 2012, DOI: 10.1111/j.1541-0420.2012.01779.x

  14. Estimating indices of range shifts in birds using dynamic models when detection is imperfect

    Global Change Biology

    Volume 22, Issue 10, October 2016, Pages: 3273–3285, Matthew J. Clement, James E. Hines, James D. Nichols, Keith L. Pardieck and David J. Ziolkowski Jr

    Version of Record online : 12 MAY 2016, DOI: 10.1111/gcb.13283

  15. You have free access to this content
    Novel methods improve prediction of species’ distributions from occurrence data

    Ecography

    Volume 29, Issue 2, April 2006, Pages: 129–151, Jane Elith*, Catherine H. Graham*, Robert P. Anderson, Miroslav Dudík, Simon Ferrier, Antoine Guisan, Robert J. Hijmans, Falk Huettmann, John R. Leathwick, Anthony Lehmann, Jin Li, Lucia G. Lohmann, Bette A. Loiselle, Glenn Manion, Craig Moritz, Miguel Nakamura, Yoshinori Nakazawa, Jacob McC. M. Overton, A. Townsend Peterson, Steven J. Phillips, Karen Richardson, Ricardo Scachetti-Pereira, Robert E. Schapire, Jorge Soberón, Stephen Williams, Mary S. Wisz and Niklaus E. Zimmermann

    Version of Record online : 29 MAR 2006, DOI: 10.1111/j.2006.0906-7590.04596.x

  16. Dynamic occupancy models reveal within-breeding season movement up a habitat quality gradient by a migratory songbird

    Ecography

    Volume 31, Issue 5, October 2008, Pages: 592–600, Matthew G. Betts, Nicholas L. Rodenhouse, T. Scott Sillett, Patrick J. Doran and Richard T. Holmes

    Version of Record online : 12 AUG 2008, DOI: 10.1111/j.0906-7590.2008.05490.x

  17. 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

  18. Evaluating multiple causes of amphibian declines of Ecuador using geographical quantitative analyses

    Ecography

    Volume 36, Issue 7, July 2013, Pages: 756–769, Pablo A. Menéndez-Guerrero and Catherine H. Graham

    Version of Record online : 22 JAN 2013, DOI: 10.1111/j.1600-0587.2012.07877.x

  19. Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data

    Journal of Applied Ecology

    Volume 52, Issue 2, April 2015, Pages: 413–421, Mathias W. Tobler, Alfonso Zúñiga Hartley, Samia E. Carrillo-Percastegui and George V. N. Powell

    Version of Record online : 20 FEB 2015, DOI: 10.1111/1365-2664.12399

  20. Estimating abundance from detection–nondetection data for randomly distributed or aggregated elusive populations

    Ecography

    Volume 30, Issue 4, August 2007, Pages: 537–549, Shijie Zhou and Shane P. Griffiths

    Version of Record online : 31 AUG 2007, DOI: 10.1111/j.0906-7590.2007.05009.x