Posts tagged ‘review’

Mar 6

Can we do better with our funds to manage biodiversity’s key threats?

Nations, regions, governments, organisations and communities around the world are increasingly concerned about declines and losses of biodiversity. For many, there are important moral and legal requirements to improve the outlook for biodiversity and avoid species extinctions. However, understanding how to best invest resources in management to improve biodiversity is far from simple. Unless we are considering the right information in a logical way, we won’t be able to make the best use of the resources we have. Read more

May 30

Complex decisions made simple: a primer on stochastic dynamic programming

Do you need to find the best decisions to maximize your chances of protecting a threatened species today but also in the future? Yes? Then you might be interested by our primer on stochastic dynamic programming (SDP). Stochastic Dynamic Programming (SDP) is an essential tool in conservation biology and natural resources management.

Marescot L., Chapron G., Chadès I., Fackler P., Duchamp C., Marboutin E. & Gimenez O. (2013). Complex decisions made simple: a primer on stochastic dynamic programming. Methods in Ecology and Evolution, 4, 872-884.

About

The Conservation Decisions team (CSIRO Land and Water) is a multi-disciplinary group with expertise in ecological modelling, systematic conservation planning, ecosystem services, applied mathematics, artificial intelligence, and decision theory. We’re pioneering techniques in optimal resource allocation, cost-effectiveness analysis, expert elicitation, value of information, multi-objective optimisation and adaptive management. We apply our expertise to diverse problems to inform the recovery of endangered species, management of pests, invasive species and diseases, design of conservation reserves, medical decision making, freshwater resource management and the prioritization of threat management to conserve biodiversity in a rapidly changing world. We solve pressing global decision problems. We do this by connecting big and small data with decision science to determine what actions to take, when and where to get the best outcomes for our bucks, while taking into account the many other competing needs of society.