Patterns of denitrification loss from grazed grassland: Effects of N fertilizer inputs at different sites

Factors influencing the seasonal and daily variation in denitrification rates in grazed swards were examined at 5 experimental sites in England with wide ranging environmental/geographic conditions. There was a wide range of fertilizer inputs at each site. Rates of denitrification were estimated by a coring and field incubation technique using acetylene to inhibit the reduction of N₂O to N₂. Major features of the detailed results from two of the sites were: (i) the large ranges in rates of loss, (ii) the relatively low contributions to total annual loss during autumn and winter, (iii) the apparent association of high rates of loss with fertilizer additions made when the soil was wet or immediately preceding a rainfall event, and (iv) significant losses from soil at 10–30 cm in the profile. Multiple quadratic regression analysis of the effects of soil NO₃ ^--N, soil temperature and water was used to explain variability in rates of loss. When separate regressions were fitted within each site × year × season × fertilizer level subset, 51% of the variation in loss was explained on a poorly drained fine loam/silt but only 38% on a freely drained loam.     

Variation in mineral nitrogen under grazed grassland swards

The effects of fertilizer N input to grazed grass swards on the extent and forms of mineral N in soil profiles were examined at five sites in England, each with a wide range of fertilizer N treatments. Changes in total mineral N (TN=NH ₄ ⁺ + NO ₃ ^- ) and in the ratio of the contents of NH ₄ ⁺ and NO ₃ ^- (NR) were examined in relation to soil type, treatment, soil depth and sampling time.Measured losses of NO ₃ ^- during the drainage period increased with increasing soil NO ₃ ^- levels in the soil profile at three of the sites. When the data were expressed on a ratio (NR) basis, in order to provide some indication of nitrification rate, there was also a good relationship with leaching losses. Thus as NR increased, so leaching decreased. There were distinct changes in mineral N, especially in NR in the top 10 cm of the soil profile, with treatment. At all sites, the values for this ratio decreased with increasing rates of fertilizer addition even when there was little or no difference between the treatments in TN. Furthermore, when the treatments finished at two of the sites and a common application rate was applied, differences in the ratio related to the previous treatment remained. It was suggested that this effect resulted from differences in nitrification rates stimulated by the different N fertilizer treatments.     

SEXUAL SPECIES ARE SEPARATED BY LARGER GENETIC GAPS THAN ASEXUAL SPECIES IN ROTIFERS

Why organisms diversify into discrete species instead of showing a continuum of genotypic and phenotypic forms is an important yet rarely studied question in speciation biology. Does species discreteness come from adaptation to fill discrete niches or from interspecific gaps generated by reproductive isolation? We investigate the importance of reproductive isolation by comparing genetic discreteness, in terms of intra‐ and interspecific variation, between facultatively sexual monogonont rotifers and obligately asexual bdelloid rotifers. We calculated the age (phylogenetic distance) and average pairwise genetic distance (raw distance) within and among evolutionarily significant units of diversity in six bdelloid clades and seven monogonont clades sampled for 4211 individuals in total. We find that monogonont species are more discrete than bdelloid species with respect to divergence between species but exhibit similar levels of intraspecific variation (species cohesiveness). This pattern arises because bdelloids have diversified into discrete genetic clusters at a faster net rate than monogononts. Although sampling biases or differences in ecology that are independent of sexuality might also affect these patterns, the results are consistent with the hypothesis that bdelloids diversified at a faster rate into less discrete species because their diversification does not depend on the evolution of reproductive isolation.     

Pollinators underestimated: a molecular phylogeny reveals widespread floral convergence in oil-secreting orchids (sub-tribe Coryciinae) of the Cape of South Africa

The oil-secreting orchids of southern Africa belong to the sub-tribe Coryciinae within Diseae. A phylogeny of Diseae is inferred using sequence data from all genera in the tribe, with an emphasis on resolving generic classifications within Coryciinae. Nuclear (ITS) and plastid (trnLF and matK) gene region sequences were analysed for 79 ingroup taxa and three outgroup taxa. Coryciinae is confirmed to be diphyletic, with Disperis and Coryciinae sensu stricto (s.s.) forming separate monophyletic clades. The current genera Corycium and Pterygodium are not monophyletic according to our analysis and we propose a subdivision of Coryciinae s.s. into 10 monophyletic clades including three monotypic groups. Previous generic classifications of Coryciinae s.s. have been hampered by convergent evolution of floral parts, a consequence of few pollinator species and limited pollinia attachment sites in the oil-bee pollination system common to this group.     

TESTING THE LINK BETWEEN POPULATION GENETIC DIFFERENTIATION AND CLADE DIVERSIFICATION IN COSTA RICAN ORCHIDS

Species population genetics could be an important factor explaining variation in clade species richness. Here, we use newly generated amplified fragment length polymorphism (AFLP) data to test whether five pairs of sister clades of Costa Rican orchids that differ greatly in species richness also differ in average neutral genetic differentiation within species, expecting that if the strength of processes promoting differentiation within species is phylogenetically heritable, then clades with greater genetic differentiation should diversify more. Contrary to expectation, neutral genetic differentiation does not correlate directly with total diversification in the clades studied. Neutral genetic differentiation varies greatly among species and shows no heritability within clades. Half of the variation in neutral genetic differentiation among populations can be explained by ecological variables, and species‐level traits explain the most variation. Unexpectedly, we find no isolation by distance in any species, but genetic differentiation is greater between populations occupying different niches. This pattern corresponds with those observed for microscopic eukaryotes and could reflect effective widespread dispersal of tiny and numerous orchid seeds. Although not providing a definitive answer to whether population genetics processes affect clade diversification, this work highlights the potential for addressing new macroevolutionary questions using a comparative population genetic approach.     

From single cells to social perception

Research describing the cellular coding of faces in non-human primates often provides the underlying physiological framework for our understanding of face processing in humans. Models of face perception, explanations of perceptual after-effects from viewing particular types of faces, and interpretation of human neuroimaging data rely on monkey neurophysiological data and the assumption that neurophysiological responses of humans are comparable to those recorded in the non-human primate. Here, we review studies that describe cells that preferentially respond to faces, and assess the link between the physiological characteristics of single cells and social perception. Principally, we describe cells recorded from the non-human primate, although a limited number of cells have been recorded in humans, and are included in order to appraise the validity of non-human physiological data for our understanding of human face and social perception.     

Measurement of key compositional parameters in two species of energy grass by Fourier transform infrared spectroscopy

Two energy grass species, switch grass, a North American tuft grass, and reed canary grass, a European native, are likely to be important sources of biomass in Western Europe for the production of biorenewable energy. Matching chemical composition to conversion efficiency is a primary goal for improvement programmes and for determining the quality of biomass feed-stocks prior to use and there is a need for methods which allow cost effective characterisation of chemical composition at high rates of sample through-put. In this paper we demonstrate that nitrogen content and alkali index, parameters greatly influencing thermal conversion efficiency, can be accurately predicted in dried samples of these species grown under a range of agronomic conditions by partial least square regression of Fourier transform infrared spectra (R² values for plots of predicted vs. measured values of 0.938 and 0.937, respectively). We also discuss the prediction of carbon and ash content in these samples and the application of infrared based predictive methods for the breeding improvement of energy grasses.