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Check out this conference, titled "Resilience, Innovation, and Sustainability: Navigating the Complexities of Global Change," for some interesting interdisciplinary work.

Although it has been almost a year since the Horizon/ BP oil spill began, this article offers hope and summary of the effects on the Gulf ecosystem.

This is a book by ecologist and environmentalist Stewart Brand who is previously known for helping create and write the Whole Earth Catalogue. In this book Brand discusses the current state of our environment and specifically focuses on climate change. He then spends the rest of the book discussing radical modern approaches that he believes will help combat climate change. Some of these methods include using nuclear power as our main source of energy and genetically modifying all of our crops to be more resilient to climate change. He also argues that densely populated cities are more efficient and that new technology must be used to help fix the environmental problems that have been caused by previous technologies. This book is well written and offers a perspective on environmental issues that most other current environmental books do not agree with. I would recommend this book to all environmental studies majors.

At face value, this doesn't look terribly environmental. And the explicit content really isn't (unless you count carbon emissions from burning tires in the streets and such), though no doubt there will be impacts on resource decisions, etc... if we dig for it. I bring it up more because of the implications it has for our ability to predict developments in the future. In ENVS 160, this applies pretty directly to the Limits to Growth model we've been discussing (as readily as it applies to optimistic predictions of world growth - predictions either way). It brings us to that ever present thorn in the side of decision makers: we don't know what the future holds, or what will make it get there. Where someone parked their car impacted the course of a nation, and the international focus on Egypt today can show how that has widespread impacts as well. If we're cautious and uncomfortable with the mystery of the future, resilience may be a way to hedge our bets, relating to another issue in the class. Otherwise, it largely seems to be a gamble. Even the broad trends can jump. How much will we ever be able to model, when it comes to systems this complex? A recognition of the limits of prediction, not a statement to their being invaluable (no one predicted the car, and it mattered in the outcome. But people could have predicted social unrest resulting in many people in the streets, and that was needed to take advantage of what the car provided)

This one rings close to home for me. The Great Lakes have been described as one of mankind's greatest experiments in ecology, and perhaps that true - if you discount any need for routine study and management, control groups, or any semblance of a procedure. This article is about a classic environmentalist concept - restoring ecosystems. But it is forced, as those working with the Great Lakes often are, to look at things a little differently. I was impressed that those quoted in the article actually acknowledge that some things are simply changed forever, and probably cannot be reverted to earlier forms. The focus becomes instead a forward looking one: "What good are these efforts? Scien­tists caution that restoration in any strict sense is probably impossible...Nonetheless, they argue that restoration efforts can make the lakes ecologically healthier, more resilient, and better able to absorb new shocks, including climate change and invasion by more nonnative species." From doing some research on this for papers last year, I'm starting to think that the Great Lakes (and I am absolutely and clearly biased) are on the front edge of intentional ecology and ecological engineering, and have forced people to come at restoration in ways a lot of smaller scale projects haven't. Its a neat place to study if you're into that sort of thing.

This article highlights a neat project that does two things to some branches of modern macroeconomic study. First, it complicates some basic economic ideas, moving beyond GDP to a range of other valuable metrics for measuring economic success (including, for example, diversity and resilience). Second, it takes those more complex approaches to economic systems and uses neat graphical interfaces and visual media as a means of presenting them effective. The images shown as samples are colorful, visually pleasing, and they convey a lot of information. As one author points out: "Our brains have been processing letters, symbols, and numbers for the last 10,000 years, but as animals, our ancestors have, for millions of years, been developing the eyes and the visual cortex of the brain. The eyes are able to process visualized information much more quickly then they can process symbols. We tried to express very complex information in a way as visual possible, so that we can use the most efficient parts of the brain as opposed to the inefficient. A computer can beat a human at chess, at calculations. But a computer has enormous difficulty recognizing a face. A human can do that without thinking." Couldn't help but think of the posters, maps, graphs, websites, and other forms of sharing data that are used through environmental studies. It ties back to another thought I have that perhaps the messenger (or medium) often matters more than the message, at least in terms of how it is received.

Play with the visuals here: http://atlas.media.mit.edu/app/treemap/export/usa/2009/