Wednesday, 26 October 2011

How to Scientifically Know where to Allocate Limited Resources to Save Species (Via Herp Digest)

How to Scientifically Know where to Allocate Limited Resources to Save Species - Also known, as Triage - How to Scientifically decide which species are worth saving which aren't. - New Study

Summary of Original Paper published in the Journal Nature Climate Change. by Allen Salzberg--9/30/11 More species could be saved from extinction under climate change thanks to a new model scientists have developed to guide allocation of conservation funding. The international team, led by Dr Brendan Wintle of the University of Melbourne and the ARC Centre of Excellence for Environmental Decisions, is the first to develop a pioneering decision-support model that incorporates both ecological and economic information to guide conservation investment in the face of climate change.

Although scientists knew that high extinction rates were predicted to increase under climate change, there was little advice to guide how money could be best spent to minimise extinctions.
Dr Wintle said "The best part about this model is that it can be applied to a range of environments, including many of Australia's native ecosystems, to suggest how to allocate funding. Our analysis supports the existing evidence that climate change will substantially accelerate extinction rates. So the first step is that we urgently need to limit global warming to avoid a mass extinction. Given that we are probably committed to a two degree warming by 2050, we need to develop effective strategies for minimizing the number of species that go extinct as a result.

"We only have a limited amount of money to spend on managing biodiversity, so the question becomes, how do we most effectively allocate these funds? We needed a systematic approach to guide conservation investment to minimize extinctions and avoid wasting money. An advantage of our approach is that it makes the costs of a plan explicit, reducing the opportunity for politicization of decisions."

The scientists combined ecological predictions with an economic decision framework to prioritize conservation activities, and tested the model on one of world's most biodiverse and highly threatened ecosystems; the South African fynbos.

"An interesting result of our analysis is that the optimal allocation of money depends strongly on the yearly conservation budget. For example if budgets were small then the whole budget would be dedicated to fire-fighting capacity. However, if more money were available, investment would be directed toward avoiding habitat loss due to clearing and weed invasion," Dr Wintle said.
The team included scientists from the University of Melbourne, the ARC Centre of Excellence for Environmental Decisions, CSIR South Africa, the NERP Environmental Decisions Hub, RMIT University, NSW Office of Environment & Heritage, University of NSW, the University of Queensland and a group of European researchers.

The work is published in the journal Nature Climate Change.

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