Microsoft Word - SustainabilityReport_BCC.doc

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the mathematical methods that we need to do this effectively along with some of


the challenges we face. For example, we need to be able to precisely quantify


natural capital as well as human and natural well-being, to understand how our


activities affect natural capital, to calculate how quickly nature can regenerate, to


develop ways we can adapt to a changing environment, and to make responsible


decisions balancing the needs of people today with the needs of future


generations and balancing the needs of different people around the world.


The second group focused on Human-Environment Systems as Complex

Adaptive Systems. The interactions between humans and the environment are


both extraordinarily complex and constantly changing, with interacting feedbacks


between different parts of the system. For example, humans farm, which affects


the health of the soil; the health of the soil then affects where humans farm,


which in turn affects the health of the soil. The science of complex adaptive


systems has been developing to understand interactions like these. This group


looked at how the mathematics of complex adaptive systems can illuminate the


interactions between humans and their environment.


The third group discussed Measuring and Monitoring Progress toward

Sustainability. To learn to live sustainably, we’ve got to know how well we’re


doing. But measuring the health of a forest or an ocean is an extremely complex


task: You have to collect a huge amount of data, get the most information


possible given limited resources, and then make sense of the data you get. Every


step raises mathematical and statistical challenges.


The fourth group examined Managing Human-Environment Systems for

Sustainability. The central point of sustainability science is to guide decision-


making. This group examined this final step. For example, given current


trajectories, society might have to double food production in the next 40 years


while reducing pollution impacts on lakes and rivers and reducing the rates of


biodiversity loss associated with land-use change and overfishing. How are we


going to do it? This group laid out the mathematical sciences tools needed to put


together what we know into a precisely defined set of questions and into a


practical course of action.


The fifth group examined Mathematical Challenges in Energy

Sustainability as an in-depth case study that touches on all four previous groups.


The energy system needs a radical transformation, fast, and so does the relation

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