Hydrogeochemistry and stable isotopes in radon-rich thermal waters of Belokurikha (Altai,Russia)

Environmental Science and Pollution Research - The first integrated isotope and chemistry results have been obtained for radon-rich thermal waters from the Belokurikha field which are used at a...     

Social laterality in wild beluga whale infants: comparisons between locations, escort conditions, and ages

One of the important aspects of the animal social behavior is the laterality in perception of conspecifics. Spatial laterality in adult–infant interactions is usually revealed in primates as a cradling/holding bias in adults or nipple preference in infants. The origin and function of such biases, however, remain unclear. Here, we investigated spatial laterality in adult–infant pairs in beluga whales from two geographically distinct locations using aerial photography analysis. In addition, behavioral observations on individually identified mother–infant pairs at a belugas’ breeding aggregation were conducted to assess the infants’ age influence on the lateralization in pairs. A general preference of the calves to position themselves to the right of the accompanied adult was found. We failed to reveal any influence of geographical location, presence or relative position of other individuals escorting the adult–infant pair, and position of the calf along the body of the escorting adult. A significant right-sided bias in infants’ position was present in all age classes, but 2–6 months-old belugas were found to be stronger lateralized, than the newborns and 7–18 months-old calves. That may reflect age-related changes in infants’ motor and social behavior. We argue that the revealed laterality is associated with the calves’ left eye–right hemisphere preference in perceiving social stimuli, and we then discuss its possible advantages. Pronounced adult–infant spatial laterality in condition (unlike that seen in primates) when forelimbs do not directly determine subjects’ relative positioning suggests sensory lateralization alone to be the determining factor.     

Developing Peak Discharges for Future Flood Risk Studies Using IPCC's CMIP5 Climate Model Results and USGS WREG Program

Extreme climate events, floods, and drought, cause huge impact on daily lives. In order to produce society resilient to extreme events, it is necessary to assess the impact of frequent and high intensity storm events on design parameters. This article describes a methodology to develop future peak “design discharges” throughout the United States that can be used as a guidance to map future floodplains. In order to develop a lower and upper limit for anticipated peak flow discharges, two future growth scenarios — Representative Concentration Pathways (RCPs)‐RCP 2.6 and 8.5 were identified as the weak and strong climate scenario respectively based on the output from the global climate models. The Generalized Least Square technique in United States Geological Survey's Weighted Multiple Regression (WREG) program was used to develop regression equations that relate peak discharges to basin and climate parameters of the contributing watershed. The design discharges reflect the most recent climate model results. Number of frost days, heavy rainfall days, high temperature days, and snow depth were found to be the common extreme climate parameters influencing the regression equations. This methodology can be extended to other flood frequency events if rainfall data is available. The future discharges can be utilized in hydraulics models to estimate floodplains that can assist in resilient infrastructure planning and outline climate change adaptation strategies.     

Estimating the potential of greenhouse gas mitigation in Kazakhstan

As part of the studies related to the obligations of the UN Framework Convention on Climate Change, the Republic of Kazakhstan started activities to inventory greenhouse gas (GHG) emissions and assess of GHG mitigation options. The objective of this paper is to present an estimate of the possibility of mitigating GHG emissions and determine the mitigation priorities. It presents a compilation of the possible options and their assessment in terms of major criteria and implementation feasibility. Taking into account the structure of GHG emissions in Kazakhstan in 1990, preliminary estimates of the potential for mitigation are presented for eight options for the energy sector and agriculture and forestry sector. The reference scenario prepared by expert assessments assumes a reduction of CO₂ emissions in 1996–1998 by about 26% from the 1990 level due to general economic decline, but then emissions increase. It is estimated that the total potential for the mitigation of CO₂ emissions for the year 2000 is 3% of the CO₂ emissions in the reference scenario. The annual reduction in methane emissions due to the estimated options can amount to 5%–6% of the 1990 level.

     

Global Supply of Biomass for Energy and Carbon Sequestration from Afforestation/Reforestation Activities

In this paper we provide an analytical framework to estimate the joint production of biomass and carbon sequestration from afforestation and reforestation activities. The analysis is based on geographical explicit information on a half-degree resolution. For each grid-cell the model estimates forest growth using a global vegetation model and chooses forest management rules. Land prices, cost of forest production and harvesting are determined as a function of grid specific site productivity, population density and estimates of economic wealth. The sensitivity of the results due to scenario storylines is assessed using different population and economic growth assumptions, which are consistent with B1 and A2 of the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios (IPCC-SRES) marker scenarios. Considerable differences in the economic supply schedules are found. However, technical potentials seem to converge given constancy in other underlying assumptions of the model.