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José J. Lahoz-Monfort

José J. Lahoz-Monfort

D-Index & Metrics

Ecology and Evolution

D-Index
38
Citations
11618
World Ranking
6504
National Ranking
513

Overview

José J. Lahoz-Monfort is affiliated with the University of Melbourne in Australia. Their primary field of study is Environmental Science, with a focus on Ecology, Ecological Modeling, and Nature and Landscape Conservation. Additional subfields related to their research include Cell Biology and Plant Science.

The scientist's research topics address various aspects of ecology and conservation. Key areas include:

  • Species Distribution and Climate Change
  • Wildlife Ecology and Conservation
  • Ecology and Vegetation Dynamics Studies
  • Wildlife-Road Interactions and Conservation
  • Plant Pathogens and Fungal Diseases
  • Mycorrhizal Fungi and Plant Interactions
  • Marine animal studies overview

José J. Lahoz-Monfort has contributed to several recent publications, covering species distribution modeling and technologies for conservation monitoring. Selected 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
  • "A Comprehensive Overview of Technologies for Species and Habitat Monitoring and Conservation," 2021, BioScience
  • "Modelling species presence-only data with random forests," 2021, Ecography

The scientist frequently publishes in venues such as:

  • Ecosphere
  • Ecography
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Wildlife Research
  • Ecological Monographs

José J. Lahoz-Monfort collaborates regularly with coauthors including Gurutzeta Guillera-Arroita, Cory Merow, Jane Elith, Debra P. C. Peters, and David D. Breshears, each having coauthored multiple papers with them.

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

  • 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

  • A Comprehensive Overview of Technologies for Species and Habitat Monitoring and Conservation.

    José J Lahoz-Monfort;Michael J L Magrath

  • 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

  • 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

  • Animal movements in fire-prone landscapes

    Dale G. Nimmo;Sarah Avitabile;Sam C. Banks;Rebecca Bliege Bird

  • 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

Gurutzeta Guillera-Arroita
Gurutzeta Guillera-Arroita University of Melbourne
Brendan A. Wintle
Brendan A. Wintle University of Melbourne
Jane Elith
Jane Elith University of Melbourne
James E. M. Watson
James E. M. Watson University of Queensland
Sarah Wanless
Sarah Wanless Natural Environment Research Council
Michael P. Harris
Michael P. Harris UK Centre for Ecology & Hydrology
Michael Bode
Michael Bode Queensland University of Technology
Michael A. McCarthy
Michael A. McCarthy University of Melbourne
Graeme Gillespie
Graeme Gillespie Government of the Northern Territory
Byron J. T. Morgan
Byron J. T. Morgan University of Kent

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