A manifesto for predictive conservation
2019
Travers, Henry | Selinske, Matthew | Nuno, Ana | Serban, Anca | Mancini, Francesca | Barychka, Tatsiana | Bush, Emma | Rasolofoson, Ranaivo A | Watson, James E M | Milner-Gulland, E J | University of Oxford | University of Oxford | RMIT University | University of Exeter | University of Cambridge | University of Aberdeen | University College London | Biological and Environmental Sciences | University of Vermont | University of Queensland | University of Oxford | 0000-0003-4036-125X
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.
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