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Improving sex and gender identity equity and inclusion at conservation and ecology conferences

Tulloch details a six-step timeline that improves ecology and conservation conference inclusion by embedding diversity and equity into planning, financing, marketing, scientific and social scheduling, evaluation and reporting.

Ayesha I. T. Tulloch
Reviews03 Aug 2020
Nature Ecology & Evolution

Volume: 4, P: 1311-1320
Impact of 2019–2020 mega-fires on Australian fauna habitat

An assessment of the habitat of native vertebrate species burnt by the 2019–2020 Australian mega-fires shows that 70 taxa were severely affected.

Michelle Ward
Ayesha I. T. Tulloch
James E. M. Watson
Research20 Jul 2020
Nature Ecology & Evolution

Volume: 4, P: 1321-1326
Species co-occurrence analysis predicts management outcomes for multiple threats

Network analyses of species co-occurrence show that highly connected species are likely to benefit more from threat management, and that this information can be used to predict whole-community responses to threat mitigation regimes.

Ayesha I. T. Tulloch
Iadine Chadès
David B. Lindenmayer
Research05 Feb 2018
Nature Ecology & Evolution

Volume: 2, P: 465-474
Reply to ‘Consider species specialism when publishing datasets’ and ‘Decision trees for data publishing may exacerbate conservation conflict’

Ayesha I. T. Tulloch
Nancy Auerbach
Glenda M. Wardle
Correspondence11 Feb 2019
Nature Ecology & Evolution

Volume: 3, P: 320-321
A guide to ecosystem models and their environmental applications

Ecological management strategies — from conservation to fisheries — require ecosystem-level thinking. This Review describes the main types of ecosystem model, how to select an appropriate model for a given application, and how to manage complexity and uncertainty.

William L. Geary
Michael Bode
Euan G. Ritchie
Reviews14 Sept 2020
Nature Ecology & Evolution

Volume: 4, P: 1459-1471
A decision tree for assessing the risks and benefits of publishing biodiversity data

Information on species abundances and distributions is essential for developing conservation policy and assessing change. Yet publically available data increases exploitation potential. This Perspective presents a decision framework to assess the risks and benefits of publically sharing biodiversity data.

Ayesha I. T. Tulloch
Nancy Auerbach
James E. M. Watson
Reviews23 Jul 2018
Nature Ecology & Evolution

Volume: 2, P: 1209-1217

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Improving sex and gender identity equity and inclusion at conservation and ecology conferences

Impact of 2019–2020 mega-fires on Australian fauna habitat

Species co-occurrence analysis predicts management outcomes for multiple threats

Reply to ‘Consider species specialism when publishing datasets’ and ‘Decision trees for data publishing may exacerbate conservation conflict’

A guide to ecosystem models and their environmental applications

A decision tree for assessing the risks and benefits of publishing biodiversity data

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