Biosphere-atmosphere interactions of ammonia with grasslands: Experimental strategy and results from a new European initiative

A new study to address the biosphere-atmosphere exchange of ammonia (NH₃) with grasslands is applying a European transect to interpret NH₃ fluxes in relation to atmospheric conditions, grassland management and soil chemistry. Micrometeorological measurements using the aerodynamic gradient method (AGM) with continuous NH₃ detectors are supported by bioassays of the NH₃ `stomatal compensation point' (<sub>s</sub>). Relaxed eddy accumulation (REA) is also applied to enable flux measurements at one height; this is relevant to help address flux divergence due to gas-particle inter-conversion or the presence of local sources in a landscape.Continuous measurements that contrast intensively managed grasslands with semi-natural grasslands allow a scaling up from 15 min values to seasonal means. The measurements demonstrate the bi-directional nature of NH<sub>3</sub> fluxes, with typically daytime emission and small nocturnal deposition. They confirm the existence of enhanced NH<sub>3</sub> emissions (e.g. 30 g N ha<sup>–1</sup> d<sup>–1</sup>) following cutting of intensively managed swards. Further increased emissions follow fertilization with NH<sub>4</sub>NO<sub>3</sub> (typically 70 g N ha<sup>–1</sup> d<sup>–1</sup>). Measurements using REA support these patterns, but require a greater analytical precision than with the AGM.The results are being used to develop models of NH<sub>3</sub> exchange. `Canopy compensation point' resistance models reproduce bi-directional diurnal patterns, but currently lack a mechanistic basis to predict changes in relation to grassland phenology. An advance proposal here is the coupling of _s to dynamic models of grassland C–N cycling, and a relationship with modelled plant substrate-N is shown. Applications of the work include incorporation of the resistance models in NH₃ dispersion modelling and assessment of global change scenarios.     

Hereditary variation of ciliary patterns in ciliated protozoa

Summary— In ciliates, the basic pattern of ciliature consists of longitudinal polarized ciliary rows. This basic pattern is expected to be retained through successive binary fissions by means of the so-called cytotactic mechanisms, as a consequence of autogenetic proliferation of basal bodies within each row. This idea is supported by the hereditary transmission of 180° rotated rows in Tetrahymena and Paramecium. These mechanisms should theoretically ensure intraclonal homogeneity for ciliary row number. In fact, some alterations are responsible for either loss or addition of rows. Such alterations are not strictly random processes, since they have been shown to be controlled by nuclear genes. Cytotaxis does not account for exact positioning of primordia for complex structures (buccal ciliature, for instance): the sites of basal body proliferation are determined by certain “positional information” which, in turn, is controlled by chromosomal genetic material more or less independently of pre-existing structures, as illustrated by many spontaneous or induced mutations. All deviations from the wild-type phenotype seem to be associated with very reduced fitness, at least in laboratory conditions. On the other hand, the currently known variants cannot account for intraspecific diversity. Thus, the evolutionary significance of these phenomena remains somewhat obscure.     

ADAPTATION TO FERMENTING RESOURCES IN DROSOPHILA MELANOGASTER: ETHANOL AND ACETIC ACID TOLERANCES SHARE A COMMON GENETIC BASIS

Ethanol and acetic acid tolerances were compared in a French, highly tolerant population, and in a Congolese, very sensitive population. For both tolerances, chromosome substitutions demonstrated a major effect on chromosome 3, a lesser effect on chromosome 2, and no effect on chromosome 1, except in interactions. Directional selection experiments led to significant increases of tolerance to both toxics. Of greater interest, a strong correlated response was observed in each line: increased ethanol tolerance was accompanied by higher acetic acid tolerance and vice versa. A high genetic correlation (average value r = 0.77) was found between the two traits. These data suggest that alcohol dehydrogenase (ADH) activity does not play a major role in explaining the physiological differences known between Afrotropical and European populations. The metabolic flux permitting the detoxification of ethanol and acetic acid seems to be mainly controlled by acetyl-coA synthetase (ACS) at least in adult flies. Acetic acid adaptation could be as important as ethanol adaptation in the ecology of Drosophila melanogaster and other Drosophila species.     

Carbon, nitrogen and Greenhouse gases budgets over a four years crop rotation in northern France

Croplands mainly act as net sources of the greenhouse gases carbon dioxide (CO₂) and nitrous oxide (N₂O), as well as nitrogen oxide (NO), a precursor of troposheric ozone. We determined the carbon (C) and nitrogen (N) balance of a four-year crop rotation, including maize, wheat, barley and mustard, to provide a base for exploring mitigation options of net emissions. The crop rotation had a positive net ecosystem production (NEP) of 4.4?±?0.7 Mg C ha^-1 y^-1 but represented a net source of carbon with a net biome production (NBP) of -1.3?±?1.1 Mg C?ha^-1 y^-1. The nitrogen balance of the rotation was correlated with the carbon balance and resulted in net loss (?24?±?28 kg N ha^-1 y^-1). The main nitrogen losses were nitrate leaching (?11.7?±1.0 kg N ha^-1 y^-1) and ammonia volatilization (?9 kg N ha^-1 y^-1). Dry and wet depositions were 6.7?±?3.0 and 5.9?±0.1 kg N ha^-1 y^-1, respectively. Fluxes of nitrous (N₂O) and nitric (NO) oxides did not contribute significantly to the N budget (N₂O: -1.8?±?0.04; NO: -0.7?±?0.04 kg N ha^-1 y^-1) but N₂O fluxes equaled 16% of the total greenhouse gas balance. The link between the carbon and nitrogen balances are discussed. Longer term experiments would be necessary to capture the trends in the carbon and nitrogen budgets within the variability of agricultural ecosystems.