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A manifesto for predictive conservation

journal contribution
posted on 2024-11-01, 11:51 authored by Henry Travers, Matthew Selinske, Ana Nuno, Anca Serban, Francesca Mancini, Tatsiana Barychka, Emma Bush, Ranaivo Rasolofoson, James Watson, E Milner-Gulland
If efforts to tackle biodiversity loss and its impact on human wellbeing are to be successful, conservation must learn from other fields which use predictive methods to foresee shocks and pre-empt their impacts in the face of uncertainty, such as military studies, public health and finance. Despite a long history of using predictive models to understand the dynamics of ecological systems and human disturbance, conservationists do not systematically apply predictive approaches when designing and implementing behavioural interventions. This is an important omission because human behaviour is the underlying cause of current widespread biodiversity loss. Here, we critically assess how predictive approaches can transform the way conservation scientists and practitioners plan for and implement social and behavioural change among people living with wildlife. Our manifesto for predictive conservation recognises that social-ecological systems are dynamic, uncertain and complex, and calls on conservationists to embrace the forward-thinking approach which effective conservation requires.

Funding

Socio-ecological models for environmental decision making

Australian Research Council

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History

Journal

Biological Conservation

Volume

237

Start page

12

End page

18

Total pages

7

Publisher

Elsevier

Place published

Netherlands

Language

English

Copyright

© 2019 Elsevier Ltd. All rights reserved.

Former Identifier

2006093198

Esploro creation date

2020-06-22

Fedora creation date

2019-09-23

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