"Part of the fun in natural history is playing word detective! Naturalists speak in greek and latin and love mashing together parts of these languages to create new, yet often very descriptive, words. This month, I want to talk a little about an awesome word – MYRMECOMORPHY.

This beauteous etymological wonder is derived from from the root words myrmex, meaning ant, and morphos, meaning form. Soooooooo, myrmecomorphy is ant-mimicking! This is a form of Batesian mimicry, which occurs between two, often very different, species are very similar in appearance. The caveat is that the initial species is usually toxic, spiny or otherwise unpleasant to eat, while the mimic is a fraud and only appears to be dangerous."

""They told me that EPA scientists had reviewed the originally lifecycle study and determined it wasn't scientifically sound, and I asked if it had been documented, if there was a hard copy," he says, "The [employee] said yes, and I asked if I could get a copy." And just like that, he had the proof he needed that the EPA had overlooked something that could be killing America's bees."

"Bacteria are the unseen majority on our planet, with millions of species and comprising most of the living protoplasm. While current methods enable in-depth study of a small number of communities, a simple tool for breadth studies of bacterial population composition in a large number of samples is lacking. We propose a novel approach for reconstruction of the composition of an unknown mixture of bacteria using a single Sanger-sequencing reaction of the mixture. This method is based on compressive sensing theory, which deals with reconstruction of a sparse signal using a small number of measurements. Utilizing the fact that in many cases each bacterial community is comprised of a small subset of the known bacterial species, we show the feasibility of this approach for determining the composition of a bacterial mixture.…"

"Thanks to recent technological advances, it is now possible to track with an unprecedented precision and for long periods of time the movement patterns of many living organisms in their habitat. The increasing amount of data available on single trajectories offers the possibility of understanding how animals move and of testing basic movement models. Random walks have long represented the main description for micro-organisms and have also been useful to understand the foraging behaviour of large animals. Nevertheless, most vertebrates, in particular humans and other primates, rely on sophisticated cognitive tools such as spatial maps, episodic memory and travel cost discounting. These properties call for other modeling approaches of mobility patterns. We propose a foraging framework where a learning mobile agent uses a combination of memory-based and random steps. We investigate how advantageous it is to use memory for exploiting resources in heterogeneous and changing environments.…"

"Ecological communities exhibit pervasive patterns and inter-relationships between size, abundance, and the availability of resources. We use scaling ideas to develop a unified, model-independent framework for understanding the distribution of tree sizes, their energy use and spatial distribution in tropical forests. We demonstrate that the scaling of the tree crown at the individual level drives the forest structure when resources are fully used. Our predictions match perfectly with the scaling behaviour of an exactly solvable self-similar model of a forest and are in good accord with empirical data. The range, over which pure power law behaviour is observed, depends on the available amount of resources. The scaling framework can be used for assessing the effects of natural and anthropogenic disturbances on ecosystem structure and functionality."

"But what if the underlying basis for the model is wrong? That is the message of Merritts and Walters’ Science article. It “was like a bomb, in a good way,” says Frank Pazzaglia, a geology professor at Lehigh University in Bethlehem, Pa. Earlier generations of geomorphologists had recognized the widespread nature of legacy sediments but had attributed them solely to high post-settlement erosion, he says. “More recent workers had focused on the processes, such as how does sediment move, and less on the history. Now we have both pieces. Furthermore, by adding the hard data on milldams, Merritts and Walter have made this legacy better understood.”"

America will eventually die from its collective ignorance of simple biology.

"Before sensor networks can fulfill their potential as instruments that can be easily deployed by scientists, these technical problems must be addressed so that the ratio is one nerd per ten ecologists."