Why conservation biology needs mathematics
Abstract: 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 noisy and sparse, 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 quantitatively
test alternative hypotheses, predict future change, and evaluate the potential
outcomes of different management scenarios. In an age where government and
industry demand evidence before action, mathematics may be the key to
conservation.