Literature DB >> 25492992

Inference from presence-only data; the ongoing controversy.

Trevor Hastie1, Will Fithian1.   

Abstract

Presence-only data abounds in ecology, often accompanied by a background sample. Although many interesting aspects of the species' distribution can be learned from such data, one cannot learn the overall species occurrence probability, or prevalence, without making unjustified simplifying assumptions. In this forum article we question the approach of Royle et al. (2012) that claims to be able to do this.

Entities:  

Year:  2013        PMID: 25492992      PMCID: PMC4258395          DOI: 10.1111/j.1600-0587.2013.00321.x

Source DB:  PubMed          Journal:  Ecography (Cop.)        ISSN: 0906-7590            Impact factor:   5.992


  4 in total

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

Authors:  Steven J Phillips; Miroslav Dudík; Jane Elith; Catherine H Graham; Anthony Lehmann; John Leathwick; Simon Ferrier
Journal:  Ecol Appl       Date:  2009-01       Impact factor: 4.657

2.  On estimating probability of presence from use-availability or presence-background data.

Authors:  Steven J Phillips; Jane Elith
Journal:  Ecology       Date:  2013-06       Impact factor: 5.499

3.  Presence-only data and the em algorithm.

Authors:  Gill Ward; Trevor Hastie; Simon Barry; Jane Elith; John R Leathwick
Journal:  Biometrics       Date:  2009-06       Impact factor: 2.571

4.  Weighted distributions and estimation of resource selection probability functions.

Authors:  Subhash R Lele; Jonah L Keim
Journal:  Ecology       Date:  2006-12       Impact factor: 5.499

  4 in total
  17 in total

1.  Bias correction in species distribution models: pooling survey and collection data for multiple species.

Authors:  William Fithian; Jane Elith; Trevor Hastie; David A Keith
Journal:  Methods Ecol Evol       Date:  2014-10-10       Impact factor: 7.781

Review 2.  Conceptual and methodological advances in habitat-selection modeling: guidelines for ecology and evolution.

Authors:  Joseph M Northrup; Eric Vander Wal; Maegwin Bonar; John Fieberg; Michel P Laforge; Martin Leclerc; Christina M Prokopenko; Brian D Gerber
Journal:  Ecol Appl       Date:  2021-11-28       Impact factor: 6.105

3.  Nondetection sampling bias in marked presence-only data.

Authors:  Trevor J Hefley; Andrew J Tyre; David M Baasch; Erin E Blankenship
Journal:  Ecol Evol       Date:  2013-12-02       Impact factor: 2.912

4.  Integrating fossils, phylogenies, and niche models into biogeography to reveal ancient evolutionary history: the case of Hypericum (hypericaceae).

Authors:  Andrea S Meseguer; Jorge M Lobo; Richard Ree; David J Beerling; Isabel Sanmartín
Journal:  Syst Biol       Date:  2014-11-13       Impact factor: 15.683

5.  Habitat capacity for cougar recolonization in the Upper Great Lakes region.

Authors:  Shawn T O Neil; Kasey C Rahn; Joseph K Bump
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

Review 6.  Citizen surveillance for environmental monitoring: combining the efforts of citizen science and crowdsourcing in a quantitative data framework.

Authors:  Marijke Welvaert; Peter Caley
Journal:  Springerplus       Date:  2016-10-28

7.  Mapping Risk of Malaria Transmission in Mainland Portugal Using a Mathematical Modelling Approach.

Authors:  Eduardo Gomes; César Capinha; Jorge Rocha; Carla Sousa
Journal:  PLoS One       Date:  2016-11-04       Impact factor: 3.240

8.  Novel three-step pseudo-absence selection technique for improved species distribution modelling.

Authors:  Senait D Senay; Susan P Worner; Takayoshi Ikeda
Journal:  PLoS One       Date:  2013-08-13       Impact factor: 3.240

9.  The Distribution of Cool Spots as Microrefugia in a Mountainous Area.

Authors:  Ayuma Shimokawabe; Yuichi Yamaura; Takumi Akasaka; Tomonori Sato; Yuichiro Shida; Satoshi Yamanaka; Futoshi Nakamura
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

10.  Modelling the distribution of Aspalathus linearis (Rooibos tea): implications of climate change for livelihoods dependent on both cultivation and harvesting from the wild.

Authors:  Daleen Lötter; David Maitre
Journal:  Ecol Evol       Date:  2014-03-11       Impact factor: 2.912

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