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Gurutzeta Guillera-Arroita

Gurutzeta Guillera-Arroita

D-Index & Metrics

Ecology and Evolution

D-Index
45
Citations
12214
World Ranking
4752
National Ranking
376

Overview

Gurutzeta Guillera-Arroita is affiliated with the University of Melbourne in Australia. Their research primarily focuses on environmental science, with an emphasis on ecology and ecological modeling. The scientist's work spans several subfields, including ecology, nature and landscape conservation, and global and planetary change. Specific areas addressed include biodiversity, species distribution, wildlife ecology, and conservation.

The main topics covered in their research are:

  • Species Distribution and Climate Change
  • Wildlife Ecology and Conservation
  • Ecology and Vegetation Dynamics Studies
  • Plant and Animal Studies
  • Plant Pathogens and Fungal Diseases
  • Mycorrhizal Fungi and Plant Interactions
  • Conservation, Biodiversity, and Resource Management

Their recent publications demonstrate involvement in species distribution modeling and ecological methodology. Key papers 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
  • "Defining and evaluating predictions of joint species distribution models", 2020, Methods in Ecology and Evolution

Gurutzeta Guillera-Arroita frequently publishes in venues such as:

  • Ecography
  • Methods in Ecology and Evolution
  • Proceedings of the National Academy of Sciences
  • Ecological Monographs
  • Trends in Ecology & Evolution

The scientist collaborates often with other researchers, including:

  • Jane Elith
  • José J. Lahoz-Monfort
  • Michael A. McCarthy
  • Natalie J. Briscoe
  • Damaris Zurell

Best Publications

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

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

  • 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

  • A standard protocol for reporting species distribution models

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

  • 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

  • A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD

    Tianxiao Hao;Jane Elith;Gurutzeta Guillera‐Arroita;José J. Lahoz‐Monfort

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

    Tianxiao Hao;Jane Elith;José J. Lahoz‐Monfort;Gurutzeta Guillera‐Arroita

  • Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities

    Gurutzeta Guillera‐Arroita

  • Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference

    Carsten F. Dormann;Justin M. Calabrese;Gurutzeta Guillera-Arroita;Eleni Matechou

  • Data Integration for Large-Scale Models of Species Distributions

    Nick J.B. Isaac;Marta A. Jarzyna;Petr Keil;Lea I. Dambly

  • Imperfect detection impacts the performance of species distribution models

    José J. Lahoz‐Monfort;Gurutzeta Guillera‐Arroita;Brendan A. Wintle

  • Modelling species presence-only data with random forests

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

  • Deep-sea diversity patterns are shaped by energy availability

    Skipton N. C. Woolley;Skipton N. C. Woolley;Derek P. Tittensor;Derek P. Tittensor;Piers K. Dunstan;Gurutzeta Guillera-Arroita

  • Design of occupancy studies with imperfect detection

    Gurutzeta Guillera-Arroita;Martin S. Ridout;Byron J. T. Morgan

  • Forecasting species range dynamics with process-explicit models: matching methods to applications

    Natalie J. Briscoe;Jane Elith;Roberto Salguero‐Gómez;Roberto Salguero‐Gómez;Roberto Salguero‐Gómez;José J. Lahoz‐Monfort

  • When do we need more data? A primer on calculating the value of information for applied ecologists

    Stefano Canessa;Stefano Canessa;Gurutzeta Guillera‐Arroita;José J. Lahoz‐Monfort;Darren M. Southwell

  • Ignoring Imperfect Detection in Biological Surveys Is Dangerous: A Response to 'Fitting and Interpreting Occupancy Models'

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;Darryl I. MacKenzie;Brendan A. Wintle

  • Designing studies to detect differences in species occupancy: power analysis under imperfect detection

    Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort

  • Statistical approaches to account for false-positive errors in environmental DNA samples.

    José J. Lahoz-Monfort;Gurutzeta Guillera-Arroita;Reid Tingley

  • Maxent is not a presence–absence method: a comment on Thibaud et al.

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

  • Analysing and mapping species range dynamics using occupancy models

    Marc Kéry;Gurutzeta Guillera-Arroita;Gurutzeta Guillera-Arroita;José J. Lahoz-Monfort;José J. Lahoz-Monfort

Frequent Co-Authors

José J. Lahoz-Monfort
José J. Lahoz-Monfort University of Melbourne
Jane Elith
Jane Elith University of Melbourne
Brendan A. Wintle
Brendan A. Wintle University of Melbourne
Michael A. McCarthy
Michael A. McCarthy University of Melbourne
Matthew Linkie
Matthew Linkie Wildlife Conservation Society
Byron J. T. Morgan
Byron J. T. Morgan University of Kent
Marc Kéry
Marc Kéry Swiss Ornithological Institute
Reid Tingley
Reid Tingley University of Melbourne
Jane A. Catford
Jane A. Catford King's College London
James E. M. Watson
James E. M. Watson University of Queensland

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