Downcore sulphur isotope ratios and diatom inferred pH in an artificially acidified Canadian shield lake

Three gravity cores were removed from near the deepest point in Lake 223 on 9 June 1984, eight years after the Experimental Lakes Area (ELA) staff began the artificial acidification of the lake with sulphuric acid. The first of these cores was analysed for diatoms and pollen stratigraphy while the second and third were analysed for downcore sulphur isotope ratios (H. Thode) and downcore changes in sulphur reducing bacterial densities (S. Rao). Sediment core chronologies were based on lead-210 and cesium-137 data (R. Anderson) and the Ambrosia pollen rise (M. Dickman). Analysis of the first core to the depth of the Ambrosia pollen rise (9 cm) indicated that diatom inferred pH in Lake 223 at the time of the Ambrosia rise (circa 1890) was 6.8-7.0. At a sediment depth of 3 cm the diatom inferred pH was 6.7. Thereafter diatom inferred pH began a decline culminating in the present day (observed) pH range for 1984 (5.3-5.5). At a sediment depth of 1 cm, an increase in the abundance of two benthic alkalophilic diatoms occurred. The increase in the abundance of these diatoms was ascribed to an increase in hypolimnetic alkalinity following the artificial acidification of Lake 223. This is the first time that lake acidification has been linked to an increase in benthic alkalophilic diatoms associated with hypolimnetic alkalinity production following sulphate reduction. Sulphur in the anaerobic (black) sediment layers (0-1.5 cm) was isotopically light relative to the sulphur in the deeper layers. This was due to sulphur isotope fractionation resulting from the bacterial reduction of sulphate to hydrogen sulphide in the anaerobic portion of the water column. A jet black FeS-rich layer in the uppermost 1.5 cm of the lake's sediments was associated with an increase in the abundance of sulphate reducing bacteria (e.g. Desulfovibrio spp.).     

Oxidant and acid precipitation effects on soybean yield: Cross-sectional model development

Regression models have been constructed to examine effects of oxidant and acid precipitation air pollutants and regional factors on soybean yield. Although regional factors provide most of the explanatory power, effects of oxidants and acid precipitation are statistically significant. These regressions suggest that controlling oxidant air pollution may produce greater benefit than controlling acid precipitation. Specifically, controlling pH to 5.2 or 5.6 would result in a national-level increase in soybean yield of ～ 1%. In comparison, if oxidant concentrations were controlled to 40 or 25 ppb (nL/L), a national-level increase of 4%–9% is predicted. Simultaneous control of both pollutants (i.e., pH = 5.6, oxidant = 25 ppb (nL/L) would result in a national-level benefit of ～ 10%. Regression models and field generated dose-response functions predict similar results. Before the methods developed in this paper can be used for policy analysis, data and sources of estimate uncertainty need to be more closely examined.     

A comparison of three methods for estimating call densities of migrating bowhead whales using passive acoustic monitoring

Environmental and Ecological Statistics - Various methods for estimating animal density from visual data, including distance sampling (DS) and spatially explicit capture-recapture (SECR), have...