Enhancing biodiversity and ecosystem services in production landscapes

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This project aims to develop new approaches using causal inference, optimal allocation theory, and spatial statistics to characterise impacts on a diverse suite of ecosystem services. It will endeavour to develop case studies from three continents and generalisations explicitly tested using simulated landscapes. Environmental and agricultural policies promote land sharing (biodiversity-friendly production) or land sparing (protected areas, with yield increases elsewhere). Yet the impacts of such policies in diverse contexts and for multiple outcomes are poorly understood. The project could advance our ability to deliver sustainable outcomes and more effective as well as equitable policies for production landscapes.