Daryl L. Moorhead

TL;DR: In this paper, a procedure based on the Biolog identification system was proposed to quickly, effectively, and inexpensively assess aspects of the functional diversity of microbial communities, including the numbers and types of substrates utilized by bacterial communities, as well as the levels of activities on various substrates and patterns of temporal development.

TL;DR: This guild-based decomposition model (GDM) includes the interactions of holocellulose and lignin, manifest as mutual feedback controls on microbial-based activities, and includes N limitations on early stages of litter decay resulting from nutritional demands of microorganisms and N inhibition on late stages of pollution-induced degradation.

TL;DR: It is recommended that broad-scale models use a CUE value of 0.30, unless there is evidence for lower values as a result of pervasive nutrient limitations, as well as environmental drivers, to predict the CUE of microbial communities.

TL;DR: In this paper, the authors developed a model based on the premise that saprotrophic microbial communities maximize their productivity by optimizing their allocation of resources in the production of extracellular carbon, nitrogen and phosphorus-acquiring enzymes.

TL;DR: Data from the dry valleys are presented representing evidence of rapid terrestrial ecosystem response to climate cooling in Antarctica, including decreased primary productivity of lakes and declining numbers of soil invertebrates, which poses challenges to models of climate and ecosystem change.