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Работы, на которые ссылается эта работа

Работ: 60

Работа: The best of two worlds: using stacked generalization for integrating expert range maps in species distribution models

  1. Biodiversity hotspots for conservation priorities

    Norman Myers, Russell A. Mittermeier, Cristina G. Mittermeier +2

    Статья2000Цитирований: 20
    ABI

  2. Terrestrial Ecoregions of the World: A New Map of Life on Earth

    David M. Olson, Eric Dinerstein, Eric Wikramanayake +15

    Статья2001Цитирований: 10
    ABI

  3. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

    Carsten F. Dormann, Jane Elith, Sven Bacher +15

    Обзорная статья2012Цитирований: 8
    ABI

  4. Climatologies at high resolution for the earth’s land surface areas

    Dirk Nikolaus Karger, Olaf Conrad, Jürgen Böhner +6

    Статья2017Цитирований: 8
    ABI

  5. Climatologies at high resolution for the earth’s land surface areas

    Dirk Nikolaus Karger, Olaf Conrad, Jürgen Böhner +6

    Статья2017Цитирований: 7
    ABI

  6. Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

    Jane Elith, John R. Leathwick

    Статья2009Цитирований: 7
    ABI

  7. ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION

    Dan L. Warren, Richard E. Glor, Michael Turelli

    Статья2008Цитирований: 7
    ABI

  8. A global map of travel time to cities to assess inequalities in accessibility in 2015

    D. J. Weiss, Andrew Nelson, Harry S. Gibson +19

    Статья2018Цитирований: 5
    ABI

  9. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models

    Robert A. Boria, Link E. Olson, Steven M. Goodman +1

    Статья2014Цитирований: 5
    ABI

  10. ENMTools 1.0: an R package for comparative ecological biogeography

    Dan L. Warren, Nicholas J. Matzke, Marcel Cardillo +9

    Статья2021Цитирований: 5
    ABI

  11. Integrating occurrence data and expert maps for improved species range predictions

    Cory Merow, Adam M. Wilson, Walter Jetz

    Статья2016Цитирований: 4
    ABI

  12. A practical guide for combining data to model species distributions

    Robert J. Fletcher, Trevor J. Hefley, Ellen P. Robertson +3

    Обзорная статья2019Цитирований: 4
    ABI

  13. Continental‐scale 1 km hummingbird diversity derived from fusing point records with lateral and elevational expert information

    Diego Ellis‐Soto, Cory Merow, Giuseppe Amatulli +2

    Статья2021Цитирований: 4
    ABI

  14. Broad‐scale patterns of geographic avoidance between species emerge in the absence of fine‐scale mechanisms of coexistence

    Roberto Novella‐Fernandez, Javier Juste, Carlos Ibáñez +8

    Статья2021Цитирований: 4
    ABI

  15. Predicting species distribution: offering more than simple habitat models

    Antoine Guisan, Wilfried Thuiller

    Обзорная статья2005Цитирований: 4
    ABI

  16. Stacked generalization

    David H. Wolpert

    Статья1992Цитирований: 4
    ABI

  17. The biodiversity of species and their rates of extinction, distribution, and protection

    Stuart L. Pimm, Clinton N. Jenkins, Robin Abell +6

    Обзорная статья2014Цитирований: 3
    ABI

  18. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling

    Giuseppe Amatulli, Sami Domisch, Mao‐Ning Tuanmu +4

    Статья2018Цитирований: 3
    ABI

  19. Ensemble forecasting of species distributions

    Miguel B. Araújo, Mark New

    Обзорная статья2006Цитирований: 3
    ABI

  20. The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models

    Mindy M. Syfert, Matthew J. Smith, David A. Coomes

    Статья2013Цитирований: 3
    ABI

  21. Standards for distribution models in biodiversity assessments

    Miguel B. Araújo, Robert P. Anderson, A. Márcia Barbosa +10

    Обзорная статья2019Цитирований: 3
    ABI

  22. Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat

    Julian Oeser, Marco Heurich, Cornelius Senf +3

    Статья2019Цитирований: 3
    ABI

  23. Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models

    Tianxiao Hao, Jane Elith, José J. Lahoz‐Monfort +1

    Статья2020Цитирований: 3
    ABI

  24. Comparing sample bias correction methods for species distribution modeling using virtual species

    Richard D. Inman, Janet Franklin, Todd C. Esque +1

    Статья2021Цитирований: 3
    ABI

  25. Target‐group backgrounds prove effective at correcting sampling bias in Maxent models

    Robert A. Barber, Stuart G. Ball, Roger Morris +1

    Статья2021Цитирований: 3
    ABI