The term conservation biology tends to conjure up images of field research in remote locations and weathered-looking scientists searching for endangered species, but chalkboards, computers, and – yes - mathematics are important tools for the modern-day conservation biologist. Ecological data are often patchy and riddled with error, making it difficult to draw conclusions about the factors driving change in wildlife populations and the environment. Mathematical models can describe the mechanisms that may underlie patterns in ecological data and increase our power to test alternative hypotheses, predict future change, and evaluate the potential outcomes of different management scenarios. In an age where government and industry demand quantitative evidence before action, mathematics may be the key to conservation.
