World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
71
Citations
22320
World Ranking
1290
National Ranking
107

Overview

Brendan A. Wintle is affiliated with the University of Melbourne in Australia. Their research falls primarily within the field of Environmental Science, with a notable focus on subfields including Ecology, Global and Planetary Change, Ecological Modeling, Nature and Landscape Conservation, and Economics and Econometrics.

The scientist's research topics cover a range of issues related to biodiversity and conservation. These include:

  • Wildlife Ecology and Conservation
  • Species Distribution and Climate Change
  • Conservation, Biodiversity, and Resource Management
  • Ecology and Vegetation Dynamics Studies
  • Economic and Environmental Valuation
  • Fire effects on ecosystems
  • Land Use and Ecosystem Services

Brendan A. Wintle has published in several frequent venues, including:

  • Biological Conservation
  • Conservation Science and Practice
  • SSRN Electronic Journal
  • Conservation Letters
  • Conservation Biology

The scientist has collaborated regularly with co-authors such as John C. Z. Woinarski, Sarah Legge, Martine Maron, James Watson, and Darren Southwell.

Some recent publications highlight key contributions in conservation science:

  • The minimum land area requiring conservation attention to safeguard biodiversity (2022, Science)
  • After the Megafires: What Next for Australian Wildlife? (2020, Trends in Ecology & Evolution)
  • Protecting 30% of the planet for nature: costs, benefits and economic implications (2020, DIGITAL.CSIC - Spanish National Research Council)
  • A checklist of attributes for effective monitoring of threatened species and threatened ecosystems (2020, Journal of Environmental Management)
  • Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making (2021, One Earth)

Best Publications

  • 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

  • Zero tolerance ecology: improving ecological inference by modelling the source of zero observations

    Tara G. Martin;Brendan A. Wintle;Jonathan R. Rhodes;Petra M. Kuhnert

  • 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

  • Prioritizing multiple-use landscapes for conservation: methods for large multi-species planning problems.

    Atte Moilanen;Aldina M.A Franco;Regan I Early;Richard Fox

  • Climate change, connectivity and conservation decision making: back to basics

    Jenny A. Hodgson;Chris D. Thomas;Brendan A. Wintle;Atte Moilanen

  • Correlative and mechanistic models of species distribution provide congruent forecasts under climate change.

    Michael R. Kearney;Brendan A. Wintle;Warren P. Porter

  • Global synthesis of conservation studies reveals the importance of small habitat patches for biodiversity

    Brendan A. Wintle;Heini Kujala;Amy Whitehead;Amy Whitehead;Alison Cameron

  • Habitat area, quality and connectivity: striking the balance for efficient conservation

    Jenny A. Hodgson;Atte Moilanen;Brendan A. Wintle;Chris D. Thomas

  • Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW

    Brendan A. Wintle;Jane Elith;Joanne M. Potts

  • 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

  • Imperfect detection impacts the performance of species distribution models

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

  • The Use of Bayesian Model Averaging to Better Represent Uncertainty in Ecological Models

    B. A. Wintle;M. A. McCARTHY;C. T. Volinsky;R. P. Kavanagh

  • A new method for dealing with residual spatial autocorrelation in species distribution models

    Beth Crase;Adam C. Liedloff;Brendan A. Wintle

  • Taming a Wicked Problem: Resolving Controversies in Biodiversity Offsetting

    Martine Maron;Christopher D. Ives;Christopher D. Ives;Heini Kujala;Joseph W. Bull

  • The minimum land area requiring conservation attention to safeguard biodiversity

    Unknown

  • Counting the books while the library burns: why conservation monitoring programs need a plan for action

    David B Lindenmayer;Maxine P Piggott;Brendan A Wintle

  • 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

  • Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming?

    Damien A. Fordham;H. Resit Akçakaya;Miguel B. Araújo;Miguel B. Araújo;Jane Elith

  • The biodiversity bank cannot be a lending bank

    Sarah A. Bekessy;Brendan A. Wintle;David B. Lindenmayer;Michael A. Mccarthy

  • When to stop managing or surveying cryptic threatened species

    Iadine Chadès;Eve McDonald-Madden;Michael A. McCarthy;Brendan Wintle

Frequent Co-Authors

Sarah A. Bekessy
Sarah A. Bekessy RMIT University
Hugh P. Possingham
Hugh P. Possingham University of Queensland
Michael A. McCarthy
Michael A. McCarthy University of Melbourne
Sarah Legge
Sarah Legge Australian National University
James E. M. Watson
James E. M. Watson University of Queensland
José J. Lahoz-Monfort
José J. Lahoz-Monfort University of Melbourne
Mark A. Burgman
Mark A. Burgman Imperial College London
David B. Lindenmayer
David B. Lindenmayer Australian National University
Gurutzeta Guillera-Arroita
Gurutzeta Guillera-Arroita University of Melbourne
John C. Z. Woinarski
John C. Z. Woinarski Charles Darwin University

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