CORDIS Project
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This project aims to improve decision-making frameworks for conservation efforts by testing Bayesian models against real data from soil mite populations. The goal is to enhance management strategies for critically endangered species like the black rhino.
Conservation biologists work hard to prevent species extinction and rely on robust quantitative methods to achieve these ends.
Decision frameworks allow assessment of alternate management strategies for threatened species, and may rely on simulated population models where data are unavailable or unreliable.
Bayesian inference can be used to inform decision frameworks, and has come to the attention of many biologists because the Baye’s approach allows expert opinion or informed priors to update m…
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