Evaluating temporal controls on greenhouse gas (GHG) fluxes in an Arctic tundra environment: An entropy-based approach.

摘要: There is significant spatial and temporal variability associated with greenhouse gas (GHG) fluxes in high-latitude Arctic tundra environments. The objectives of this study are to investigate CO2 CH4 at Barrow, AK determine the factors causing using a novel entropy-based classification scheme. In particular, we analyzed which geomorphic, soil, vegetation climatic properties most explained GHG (opaque chamber measurements) during growing season over three successive years. Results indicate that multi-year was primarily soil temperature as well dynamics early late season. Temporal changes its interactions primary controls like seasonal thaw. Polygonal ground features, common regions, also demonstrated fluxes. Our results can be used prioritize field sampling strategies, an emphasis on measurements collected locations times explain For example, found environmental centers high centered polygons month September (when freeze-back period begins) provide constraints flux - requirement for accurately predicting future Overall, entropy document impact changing conditions (e.g., warming, length) fluxes, thus providing clues concerning manner ecosystem may shifted regionally climate.