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Simple three-pool model accurately describes patterns of long-term litter decomposition in diverse climates

Litter decomposition in grasslands of Central North America (US Great Plains)

One of the major concerns about global warming is the potential for an increase in decomposition and soil respiration rates, increasing CO2 emissions and creating a positive feedback between global warming and soil respiration. This is particularly important in ecosystems with large belowground biomass, such as grasslands where over 90% of the carbon is allocated belowground. A better understanding of the relative influence of climate and litter quality on litter decomposition is needed to predict these changes accurately in grasslands.

Transforming scientists through technical education - a view from the trenches

A metadata-driven framework for generating field data entry interfaces in ecology

The new bioinformatics: Integrating ecological data from the gene to the biosphere

Predicting invasions of North American basses in Japan using native range data and a genetic algorithm

Predicting distributions of Mexican mammals using ecological niche modeling

Meta-information systems and ontologies: A special feature from ISEI'06

A standard data model representation for taxonomic information

Scientific names are ambiguous as identifiers for biological taxa: their context and definition are required for accurate data integration