You are looking at the food web of a terrestrial community from South Africa, some 250 million years ago. This ecosystem was the culmination of more than 50 million years of coevolution among rapidly diversifying groups of forest plants, insects, reptiles, and our proto-mammalian ancestors. This is a very informative way to depict the community, showing the predator-prey relationships among the organisms within the ecosystem. The world at this point in time is perhaps well on its way to our modern world: globally on the cool side and "mammal"-dominated. But it all comes to a rather abrupt end when Siberia opens up. Sometime between 251 and 250 million years ago, a gigantic plume of magma began to erupt from deep within the Earth, reaching the surface in the region roughly equivalent to Siberia in today's world. Lava flowed onto the surface for thousands of years, eventually reaching a volume almost equal to the entire continent of Europe! The physical and chemical changes on the planet were extreme and profound, as were the extinctions. More than 90% of all species known in the oceans, and more than 70% of animals known from land as fossils, became extinct. It is the largest extinction recorded in the fossil record.

My co-workers and I have modeled the way in which these geophysical changes would have affected our South African community, by constructing detailed, dynamic food web networks. I should point out here that a lot of this work has been conducted by graduate and undergraduate students in my lab, including two interns funded by NSF's REU Summer Systematics Institute here at the California Academy of Sciences. Students have been involved in every aspect of the work, formulating theory, collecting basic systematic and ecological data, conducting simulations and analyses, and even writing computer code! When we applied our model to the South African community, we discovered a couple of interesting things:

    Extinctions resulting from an increasing shutdown of photosynthesis
  1. One way to examine cascading changes through a network is to simply perturb the network, and observe the chain reaction in a house-of-cards fashion. This is the manner in which currently popular analyses of network robustness have been conducted, such as robustness of the internet or airline transportation systems, in addition to food webs. When we do this with our South African network, the result is a reasonably linear and predictable response, and the implication is that the extinctions could only be explained by an almost complete loss of primary production (plant food). This does not agree with the geological record, so we don't trust the result. And there is another very good reason to not trust this result, and it's why we cannot always use such a simplistic approach when thinking about biological, including human, networks. This model assumes that the interactors in the network are unintelligent, that is, they do not respond or adapt to the changes taking place around them.
  2. Notice the difference when we make the ecology "real"

  3. We addressed this by using very simple ecological interactions among the species in our community. The interactions are based on straightforward ecological common sense. The result is strikingly different when we assume that our species would respond ecologically to the other species around them. The result has a tipping point!

We'll delve into this very interesting result in the next post.

Share This