The role of soils and biogeochemistry in the Climate and Earth System
Soils play a central role throughout the climate system, through regulating the atmospheric abundance of key trace gases including, carbon dioxide, methane and nitrous oxide exchange, tropospheric and stratospheric ozone and some halogens, i.e. methyl bromide and methyl flouride. The Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC) concluded “warming is unequivocal” based on many lines of observational evidence. Humans are forcing the climate system in a new way with the release of carbon dioxide to the atmosphere by fossil fuel burning. Atmospheric carbon dioxide concentrations have not been this high in more than a half a million years. The AR4 was the first Earth System IPCC report because of the inclusion of a fully interactive carbon cycle and was the first Working Group 1 report to address the changing global nitrogen cycle. Soils and their sustained productivity remain a critical ethical discussion for the future of Earth System modeling and for the future of life on our Earth.
Research Frontiers in the Analysis of Coupled Biogeochemical Cycles
The analysis of coupled biogeochemical cycles (CBCs) addresses the scientific basis for some of today’s major environmental problems. Drawing from information presented at a series of sessions on CBCs held at the 2009 Annual Meeting of the Ecological Society of America and from the research community’s expertise, we identify several principal research themes that justify action and investment. Critical areas for research include: coupling of major element cycles to less studied yet equally important trace element cycles; analyzing CBCs across ecosystem boundaries; integrating experimental results into regional- and global-scale models; and expanding the analysis of human interactions with CBCs arising from human population growth, urbanization, and geoengineering. To advance the current understanding of CBCs and to address the environmental challenges of the 21st century, scientists must maintain and synthesize data from existing observational and experimental networks, develop new instrumentation networks, and adopt emerging technologies.
Nutrient Imbalances in Agricultural Development
Nutrient cycles link agricultural systems to their societies and surroundings; inputs of nitrogen and phosphorus in particular are essential for high crop yields, but downstream and downwind losses of these same nutrients diminish environmental quality and human well-being. Agricultural nutrient balances differ substantially with economic development, from inputs that are inadequate to maintain soil fertility in parts of many developing countries, particularly those of sub-Saharan Africa, to excessive and environmentally damaging surpluses in many developed and rapidly growing economies. National and/or regional policies contribute to patterns of nutrient use and their environmental consequences in all of these situations. Solutions to the nutrient challenges that face global agriculture can be informed by analyses of trajectories of change within, as well as across, agricultural systems.
Modeling soil CO2 emissions from ecosystems
We present a new soil respiration model, describe a formal model testing procedure, and compare our model with five alternative models using an extensive data set of observed soil respiration. Gas flux data from rangeland soils that included a large number of measurements at low temperatures were used to model soil CO2 emissions as a function of soil temperature and water content. Our arctangent temperature function predicts that Q10 values vary inversely with temperature and that CO2 fluxes are significant below 0 °C. Independent data representing a broad range of ecosystems and temperature values were used for model testing. The effects of plant phenology, differences in substrate availability among sites, and water limitation were accounted for so that the temperature equations could be fairly evaluated. Four of the six tested models did equally well at simulating the observed soil CO2 respiration rates. However, the arctangent variable Q10 model agreed closely with observed Q10 values over a wide range of temperatures (r2 = 0.94) and was superior to published variable Q10 equations using the Akaike information criterion (AIC). The arctangent temperature equation explained 16–85% of the observed intra-site variability in CO2 flux rates. Including a water stress factor yielded a stronger correlation than temperature alone only in the dryland soils. The observed change in Q10 with increasing temperature was the same for data sets that included only heterotrophic respiration and data sets that included both heterotrophic and autotrophic respiration.