World phylogeography and male‐mediated gene flow in the sandbar shark,Carcharhinus plumbeus

The sandbar shark, Carcharhinus plumbeus, is a large, cosmopolitan, coastal species. Females are thought to show philopatry to nursery grounds while males potentially migrate long distances, creating an opportunity for male‐mediated gene flow that may lead to discordance in patterns revealed by mitochondrial DNA (mtDNA) and nuclear markers. While this dynamic has been investigated in elasmobranchs over small spatial scales, it has not been examined at a global level. We examined patterns of historical phylogeography and contemporary gene flow by genotyping 329 individuals from nine locations throughout the species’ range at eight nuclear microsatellite markers and sequencing the complete mtDNA control region. Pairwise comparisons often resulted in fixation indices and divergence estimates of greater magnitude using mtDNA sequence data than microsatellite data. In addition, multiple methods of estimation suggested fewer populations based on microsatellite loci than on mtDNA sequence data. Coalescent analyses suggest divergence and restricted migration among Hawaii, Taiwan, eastern and western Australia using mtDNA sequence data and no divergence and high migration rates, between Taiwan and both Australian sites using microsatellite data. Evidence of secondary contact was detected between several localities and appears to be discreet in time rather than continuous. Collectively, these data suggest complex spatial/temporal relationships between shark populations that may feature pulses of female dispersal and more continuous male‐mediated gene flow.     

The influence of darkness and visual contrast on oviposition by Anopheles gambiae in moist and dry substrates

Abstract.  The influence of substrate brightness (value), contrast and colour (hue) on oviposition is quantified under low night-light levels of 1.2 × 10⁻⁴ w m⁻² in choice-tests using caged Anopheles gambiae sensu stricto laboratory strains and/or gravid An. gambiae sensu lato from a natural population in Western Kenya. Egg output increases as darkness of the substrate increases against a white background. Black substrates elicit the most oviposition by both laboratory and house-collected mosquitoes, whereas white elicits the least. Contrast between patches of substrate and background also influences egg placement. In four-choice tests, a black ovipositional dish against a white floor receives many more eggs than does black–black, white–white, and white–black dish vs. floor combinations. In a similar test presenting four grey vs. black combinations of dish vs. floor, females respond similarly to grey vs. black dishes and deposit nearly as many eggs on the dry floors as on wet dishes. Illumination at 2.1 × 10⁻³ w m⁻², equivalent to late dusk and early dawn, improves discrimination between black dishes and grey floors. Under the experimental conditions, An. gambiae females respond almost equally to dishes of water placed over red, yellow, green, blue and purple paper disks matching the brightness and saturation values of their neutral (grey) counterparts. Thus, no evidence is found for wavelength discrimination on oviposition. It is concluded that visual contrast strongly influences the search patterns for prospective ovipositional sites whereas darkness of substrate and moisture are strong releasers of oviposition.     

Contribution of N2O to the greenhouse gas balance of first-generation biofuels

In this study, we analyze the impact of fertilizer‐ and manure‐induced N₂O emissions due to energy crop production on the reduction of greenhouse gas (GHG) emissions when conventional transportation fuels are replaced by first‐generation biofuels (also taking account of other GHG emissions during the entire life cycle). We calculate the nitrous oxide (N₂O) emissions by applying a statistical model that uses spatial data on climate and soil. For the land use that is assumed to be replaced by energy crop production (the ‘reference land‐use system’), we explore a variety of options, the most important of which are cropland for food production, grassland, and natural vegetation. Calculations are also done in the case that emissions due to energy crop production are fully additional and thus no reference is considered. The results are combined with data on other emissions due to biofuels production that are derived from existing studies, resulting in total GHG emission reduction potentials for major biofuels compared with conventional fuels. The results show that N₂O emissions can have an important impact on the overall GHG balance of biofuels, though there are large uncertainties. The most important ones are those in the statistical model and the GHG emissions not related to land use. Ethanol produced from sugar cane and sugar beet are relatively robust GHG savers: these biofuels change the GHG emissions by −103% to −60% (sugar cane) and −58% to −17% (sugar beet), compared with conventional transportation fuels and depending on the reference land‐use system that is considered. The use of diesel from palm fruit also results in a relatively constant and substantial change of the GHG emissions by −75% to −39%. For corn and wheat ethanol, the figures are −38% to 11% and −107% to 53%, respectively. Rapeseed diesel changes the GHG emissions by −81% to 72% and soybean diesel by −111% to 44%. Optimized crop management, which involves the use of state‐of‐the‐art agricultural technologies combined with an optimized fertilization regime and the use of nitrification inhibitors, can reduce N₂O emissions substantially and change the GHG emissions by up to −135 percent points (pp) compared with conventional management. However, the uncertainties in the statistical N₂O emission model and in the data on non‐land‐use GHG emissions due to biofuels production are large; they can change the GHG emission reduction by between −152 and 87 pp.