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D-Index & Metrics

Ecology and Evolution

D-Index
74
Citations
80712
World Ranking
1082
National Ranking
89

Research.com Recognitions

  • 2017 - Fellow of the Australian Academy of Science

Overview

Jane Elith is affiliated with the University of Melbourne in Australia and is a researcher focused on Environmental Science, with a substantial body of work in subfields such as Ecological Modeling, Ecology, Nature and Landscape Conservation, Cell Biology, and Plant Science. Their research topics frequently include Species Distribution and Climate Change, Wildlife Ecology and Conservation, Ecology and Vegetation Dynamics Studies, Plant Pathogens and Fungal Diseases, Mycorrhizal Fungi and Plant Interactions, Fire effects on ecosystems, and Environmental DNA in Biodiversity Studies.

Their recent papers demonstrate a focus on species distribution models, ecological predictive methods, and data modeling techniques. Notable publications include:

  • A standard protocol for reporting species distribution models, 2020, Ecography
  • Predictive performance of presence-only species distribution models: a benchmark study with reproducible code, 2021, Ecological Monographs
  • Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models, 2020, Ecography
  • Modelling species presence-only data with random forests, 2021, Ecography
  • Presence-only and Presence-absence Data for Comparing Species Distribution Modeling Methods, 2020, Biodiversity Informatics

Jane Elith frequently collaborates with a group of co-authors, including Gurutzeta Guillera-Arroita, José J. Lahoz-Monfort, Roozbeh Valavi, Tianxiao Hao, and Tom W. May. These collaborations span multiple projects and reflect interconnected research interests primarily within ecological modeling and species distribution.

The primary venues for Jane Elith's publications include Ecography, where they have published five papers, followed by Conservation Biology and bioRxiv (Cold Spring Harbor Laboratory) with two publications each. Other publication venues include Ecological Monographs and Biodiversity Informatics.

Jane Elith is recognized by the Australian scientific community, having been named a Fellow of the Australian Academy of Science in 2017.

Best Publications

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

    Carsten F. Dormann;Jane Elith;Sven Bacher;Carsten Buchmann

  • Novel methods improve prediction of species' distributions from occurrence data

    Jane Elith;Catherine H. Graham;Robert P. Anderson;Miroslav Dudík

  • Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

    Jane Elith;John R. Leathwick

  • A statistical explanation of MaxEnt for ecologists

    Jane Elith;Steven J. Phillips;Trevor Hastie;Miroslav Dudík

  • A working guide to boosted regression trees

    J. Elith;J. R. Leathwick;T. Hastie

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

    Steven J. Phillips;Miroslav Dudík;Jane Elith;Catherine H. Graham

  • The art of modelling range-shifting species

    Jane Elith;Michael Kearney;Steven Phillips

  • Predicting species distributions for conservation decisions

    A. Guisan;R. Tingley;J. B. Baumgartner;I. Naujokaitis-Lewis

  • Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure

    David R. Roberts;Volker Bahn;Simone Ciuti;Mark S. Boyce

  • Species distribution modeling with R

    Robert J. Hijmans;Jane Elith

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

    Jane Elith;Catherine H. Graham

  • Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment

    Simon Ferrier;Glenn Manion;Jane Elith;Karen Richardson

  • Is my species distribution model fit for purpose? Matching data and models to applications

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Jane Elith;Ascelin Gordon

  • Error and uncertainty in habitat models

    Simon Barry;Jane Elith

  • A standard protocol for reporting species distribution models

    Damaris Zurell;Janet Franklin;Christian König;Phil J. Bouchet

  • What do we gain from simplicity versus complexity in species distribution models

    Cory Merow;Cory Merow;Cory Merow;Matthew J. Smith;Thomas C. Edwards;Antoine Guisan

  • Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees

    J. R. Leathwick;J. Elith;M. P. Francis;T. Hastie

  • blockCV: An r package for generating spatially or environmentally separated folds for k‐fold cross‐validation of species distribution models

    Roozbeh Valavi;Jane Elith;José J. Lahoz-Monfort;Gurutzeta Guillera-Arroita

  • Predictive performance of presence-only species distribution models: a benchmark study with reproducible code

    Roozbeh Valavi;Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Jane Elith

  • Sensitivity of predictive species distribution models to change in grain size

    Antoine Guisan;Catherine H. Graham;Jane Elith;Falk Huettmann

  • Outstanding Challenges in the Transferability of Ecological Models.

    Katherine L. Yates;Katherine L. Yates;Phil J. Bouchet;M Julian Caley;Kerrie Mengersen

  • The influence of spatial errors in species occurrence data used in distribution models

    Catherine H Graham;Jane Elith;Robert J Hijmans;Antoine Guisan

Frequent Co-Authors

David A. Keith
David A. Keith University of New South Wales
John R. Leathwick
John R. Leathwick Department of Conservation
José J. Lahoz-Monfort
José J. Lahoz-Monfort University of Melbourne
Trevor Hastie
Trevor Hastie Stanford University
Brendan A. Wintle
Brendan A. Wintle University of Melbourne
Gurutzeta Guillera-Arroita
Gurutzeta Guillera-Arroita University of Melbourne
Mark A. Burgman
Mark A. Burgman Imperial College London
Antoine Guisan
Antoine Guisan University of Lausanne
Tracey J. Regan
Tracey J. Regan Arthur Rylah Institute for Environmental Research
Wilfried Thuiller
Wilfried Thuiller Grenoble Alpes University

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