o-production is a rapidly growing endeavour now widely applied in the fields of health, development, education, climate change, industrial production and sustainability [1][2][3][4][5][6] . It broadly seeks to connect researchers with diverse societal actors to collaboratively and iteratively produce knowledge, action and societal change 1 . The promise is compelling: developing solutions through legitimate processes that draw on diverse and credible expertise with, by and for those best placed to use them 5,7,8 . Sustainability

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 preempt 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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