Natural abundance radiocarbon in soil microbial biomass: Results from a glacial foreland

We present a method for determining the natural abundance radiocarbon (¹⁴C) content of soil microbial biomass (SMB) based on existing fumigation-extraction procedures. We applied the technique to soils from the foreland of the Ödenwinkelkees glacier in the Austrian Alps, which has a well-characterised chronosequence of soils at different stages of development. Across the chronosequence, SMB contained post-bomb levels of ¹⁴C, suggesting it was substantially composed of carbon that had been fixed since the 1960s. Comparison of our results with previous findings from the same site showed that at most stages in the sequence the SMB had a similar ¹⁴C content to the bulk soil organic matter (SOM). However, soil respired CO₂ was ¹⁴C-depleted relative to SMB, indicating that at least a component of the microbial community was mineralising some older carbon. In the most recently exposed soils, SMB was ¹⁴C-enriched compared to both soil respiration and SOM, suggesting that a small component of the microbial biomass that utilises older carbon contributes disproportionately more to the CO₂ efflux. Although other interpretations are possible, this explanation is consistent with the notion that early on in the succession a large proportion of the microbial biomass is dormant.     

Inorganic Sediment Budget for the North Inlet Salt Marsh,South Carolina,U.S.A.

Most salt marshes along the east coast of North America appear to accumulate sediment at a rate sufficient to keep pace with the rise in eustatic sea level and local subsidence. Thus, these marshes must be importing sediment from the coastal ocean and/or the adjacent estuaries. The sediment accumulating in the North Inlet salt marsh, South Carolina, is 80% inorganic, and, based on ²¹⁰Pb dating, is accreting at a rate of 0.098 g cm^–2 yr^–1, equal to a 2.7 mm yr^–1 vertical sedimentation rate. Tide gauge records show a relative sea level rise of 2.2 to 3.4 mm yr^–1, indicating this marsh is maintaining its elevation relative to mean sea level rise. The North Inlet salt marsh has two avenues of sediment exchange: (1) through the tidal inlet to the ocean and (2) through Winyah Bay, the adjoining estuary. Long-term inorganic suspended sediment flux through the inlet is calculated to be a net import of 1.35 kg s^–1, based on application of a tidal hypsometric flow model to seven years of daily suspended sediment concentrations. However, the import required to balance relative sea level rise is only 0.80 kg s^–1, implying an excess net import of 0.55 kg s^–1. The difference between import and accumulation is explained by the progradation of the marsh toward Winyah Bay, a conclusion which is supported by the geomorphology and stratigraphy of the marsh-estuary border. Thus, the North Inlet marsh imports sediment on the average through the tidal inlet, at a rate which allows for both vertical accumulation at a rate approximately equal to the relative sea level rise and also lateral expansion of the marsh.     

Origins of European biodiversity: palaeo-geographic signification of peat inception during the Holocene in the granitic eastern Massif Central (France)

Mires are rare, unique environments that greatly contribute to biodiversity and occupy key functions in the hydrological cycle, but today many of these ecosystems are menaced, making conservation measures necessary. The efficiency of these measures is partly related to our knowledge of their origins and their development, a question rarely addressed. In this paper we examine the development of mires during the 10.000 last years (Holocene) in the eastern Massif Central, France, focusing on the contributions of climate change and human activities. Radiocarbon dates of the basal layers of 63 sites show that many mires formed around 7500 BP. During the Holocene, many mires were formed in the Atlantic period, characterised by warmer and wetter climatic conditions. At shorter time scales of 10³–10² years, several other factors are related to peat inception, including topography, geomorphology and superficial geology, vegetation successions and human-induced changes. There is evidence that the building of small dams in headwater streams during the Iron age induced local water logging which then lead to the initiation and growth of mires. The influence of Bronze age communities is further demonstrated by new pollen analysis results. Forest clearing and grazing also favoured soil water logging, enabling peat inception. We consider human societies to be responsible for the formation of some mires. Human activities can be considered to having taken part in the development of the European biodiversity at least during the last 5 millennium.This revised version was published online in May 2005 with corrections to the Cover Date.     

Simulating decomposition of labile soil organic carbon: Effects of pH

Based on previous studies we suppose common soil carbon turnover modelling approaches to fail to accurately simulate the fate of labile organic carbon in acidic soils possibly because pH effects on decomposition are not accounted for. For mountainous permanent grasslands with higher shares of particulate carbon, turnover times of this fraction were calculated by means of radiocarbon dating and compared with rate constants of the RothC model. The model rate constant for plant litter decomposition was adjusted by pH response functions derived from (i) published data of litter decomposition or soil N dynamics and (ii) a best fit through the radiocarbon-derived turnover rates. After parameterization, the match of radiocarbon-based and model-based values was significantly improved for both rate constants and pool sizes. The results suggest that ignoring soil pH effects in models might produce misleading projections on soil carbon stocks under warming.     

Pedostratigraphy of Terra Rossa and Quaternary geological evolution of a lacustrine limestone plateau in central Italy

Pedostratigraphic levels (PLs) are typical assemblages of soil‐genetic horizons, formed by materials having the same degree of weathering. The pedostratigraphic approach can be very useful to comprehend the formation of the Quaternary soil cover, the environmental evolution of a territory, and to estimate the age of paleosols. A pedostratigraphic study of a Terra Rossa was carried out to understand the soil–parent material origin and to estimate the time of the beginning of pedogenesis. Besides soil and geomorphological survey, the Terra Rossa was analyzed for Fe forms, geochemistry, clay mineralogy, micromorphology, and with scanning electron microscope. Optical dating was applied to obtain age estimates for the deposition of the parent material of soil formation. The insoluble residue of limestone was obtained and analyzed for geochemistry and clay mineralogy. The bedrock is constituted by Quaternary lacustrine limestone, showing pronounced karst landforms. The soil profile is situated in a little dissolution doline and was divided into three PLs: PL1 (0–110 cm) is constituted by cambic and ochric horizons, formed during Holocene in a mixture of colluvial soil sediments and fresh limestone, with aeolian components; PL2 (110–290 cm) includes two argic horizons, which began to form during Late‐Middle Pleistocene in colluvial soil sediments, with few aeolian additions; PL3 (290–330 cm) is constituted by a red argic horizon, with nitic properties, which developed from the insoluble residue of the limestone. The age of PL3 was calculated through a mass balance and an estimation of the limestone‐dissolution rate during the Quaternary, which led to an approximate age of Middle Pleistocene, between 250 and 500 ky BP. The time of the beginning of pedogenesis on limestone can be used as a reference for the tectonic uplifting of the area and emersion of the plateau.     

A Top Height Equation for Pinus pinaster

A number of equations were fitted by means of stepwise regression to data from 171 compartments enumerated for working plan purposes in the southern and south-western Cape Province. Top height (= the mean height of the 100 biggest trees per ha in terms of diameter at breast height) or a function of top height was used as the dependent variable. Mean height, age (A), stems per ha (SPH) and mean diameter at breast height were used as the independent variables. The following equation gave the best results:

Top height = mean height + 0,03 log (SPH—99) A