---TITLE: Oechel_BE_2004-2010_SoilEcology_Data Soil Ecology Data for Biocomplexity Associated with the Response of Tundra Carbon Balance to Warming and Drying Across Multiple Spatial and Temporal Scales ---AUTHOR(S): David Lipson -Name(s) of PI and all co-PIs Walter Oechel (PI) John Kimball (Co-PI) Craig Tweedie (Co-PI) -Complete mailing address, telephone/facsimile Nos., web pages and E-mail address of PI Global Change Research Group Department of Biology PS-240 San Diego State University 5500 Campanile Drive San Diego, CA 92182 Phone: (619) 594-6613 Fax: (619) 594-7831 Email: gcrg@sciences.sdsu.edu Web: http://gcrg.sdsu.edu -Similar contact information for data questions (if different than above) ---FUNDING SOURCE AND GRANT NUMBER: National Science Foundation, Award Number: 0421588 ---DATA SET OVERVIEW: This research examines how biological and physical processes interact to control carbon uptake, storage and release in Arctic tundra ecosystems and how the self-organizing nature of these interactions varies across multiple spatial and temporal scales. Approximately 25% of the world's soil organic carbon reservoir is stored at high northern latitudes in permafrost and seasonally-thawed soils in the Arctic, a region that is currently undergoing unprecedented warming and drying, as well as dramatic changes in human land use. Understanding how changes in annual and inter-annual ecosystem productivity interact and potentially offset the balance and stability of the Arctic soil carbon reservoir is of utmost importance to global climate change science. If there is a net loss of soil carbon to the atmosphere in the form of greenhouse gases (namely CO2 and CH4), greenhouse warming could be enhanced. This non-linear, potentially positive feedback response could very quickly cause Arctic terrestrial ecosystems to function in a manner not known to us from the late Holocene and with globally significant implications. The activities in this research benefit from a foundation and wealth of international and national carbon cycle research undertaken in northern Alaska and other Arctic regions over the past three decades. The group will initiate a comprehensive study involving an integrated framework of multi-scale aircraft and satellite remote sensing, micrometeorological and CO2 and CH4 flux measurements and hydro-ecological process model simulations over a 350km North-South transect spanning the dominant Arctic topographic and land cover units of northern Alaska. The study region encompasses many long-term measurement sites that have been in place for 5 to 10 years. They will expand these observations to include an extensive soil moisture manipulation involving a 60 hectare tundra flooding/draining experiment near Barrow Alaska on the Arctic Coastal Plain. The objective of this study is to quantify linkages between soil moisture and carbon uptake, storage and release over multiple spatial (microbial to landscape) and temporal (minutes to decades) scales. Only by increasing the spatial extent of our experimental manipulations and the duration of our observational time series can we better understand and predict the effect of scale on the complex coupling within Arctic ecosystems; namely, how small scale processes participate as components of higher scale phenomenon and how higher scale phenomenon constrain the former lower scale processes. This knowledge will improve our understanding of the current behavior and potential response of arctic tundra to global change, resulting in better predictions of feedbacks to climate and the global carbon cycle. The dataset includes: soil electrical conductivity soil oxidation reduction potential soil pH other soil characteristics, including: topography, high or low gravimetric water content, g H2O per g dry soil bulk density, g soil per cm3 volumetric water content, cm3 H20 per cm3 soil proteolysis rate, nmole amino-N per g soil per hour proteolysis rate, nmole amino-N per cm3 soil per hour extractable organic C, ug/g soil extractable organic C, ug/cm3 soil microbial biomass C, ug/g soil (fumigation-extraction method) microbial biomass C, ug/cm3 soil (fumigation-extraction method) extractable amino N, ug/g soil extractable amino N, ug/cm3 soil microbial bimass amino-N, ug/g soil (fumigation-extraction method) microbial bimass amino-N, ug/cm3 soil (fumigation-extraction method) soil water chemistry, including: absorbance at 260 nm, standardized to tyrosine iron (II) iron (III) total iron dissolved organic C ammonium amino-N by ninhydrin method phosphate -Time period covered by the data 2004-09-14 to 2010-08-31 -Physical location of the measurement or platform (latitude/longitude/elevation) Biocomplexity Experiment site, Barrow, AK. -Data source, if applicable (e.g. for operational data include agency) -Any World Wide Web address references (i.e. additional documentation such as Project WWW site) ---INSTRUMENT DESCRIPTION: n/a ---DATA COLLECTION and PROCESSING: n/a ---DATA FORMAT: Microsoft Excel ---DATA REMARKS: Each Excel file has a "metadata" sheet describing data columns. ---REFERENCES: -List of documents cited in this data set description