Posts tagged ‘invasive species’

Jun 2

Pilbara shows how to save the most species per dollar: report now available!

We are pleased to announce the release of our report on ‘Prioritising threat management for Pilbara species of conservation significance’ (PDF, 10Mo)(The Conversation). This was a very rewarding collaborative project with scientists from CSIRO, QUT, UQ, and WA Dept Parks and Wildlife, with input from 49 experts across land management, policy, industrial, agricultural, indigenous and academic sectors, and was funded by Atlas Iron through the Dept of Environment Pilbara Taskforce.

The work comes at an important time in the Pilbara’s history and we hopeful that it will have a positive impact.

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.