Ionizing radiation effects on soil biota: Application of lessons learned from Chernobyl accident for radioecological monitoring

Russia, Ukraine, Belarus, Kazakhstan and some other neighboring countries bear the heritage of several Soviet era nuclear disasters and the resulting severe radioactive pollution of vast territories. The most famous of them is the Chernobyl catastrophe on April 26, 1986 which resulted in a massive radioisotope fallout (0.185 MBq m⁻² or higher) over about 25,000 km² of the territory of the former USSR alone. Extensive radioecological research around Chernobyl demonstrated that despite high resistance of most of soil-dwelling organisms to ionizing radiation, some soil animals were very vulnerable to radioactive pollution due to low motility, direct contact with hot particles and radioisotope accumulation in soil. These are the reasons that soil organisms are very important organisms for long-term radioecological observations. In this review, we analyze published data on the response of different soil taxa to radioisotope contamination of soil near Chernobyl and other nuclear accident locations. Field results are compared with the available experimental data. Earthworms, millipedes, collembolans and oribatid mites were recognized as the most appropriate biomonitors of different radioactivity levels and types of radioactive pollution. Synthesis of this knowledge allowed us to propose a multilevel system of soil radioecological monitoring, which may be useful for studying the short- and long-term environmental consequences of the recent catastrophe at Fukushima-1 nuclear power plant in Japan, as well as other locations vulnerable to radioactive pollution.     

Preliminary modelling of sediment production and delivery in the Xihanshui River basin, Gansu, China

This paper outlines an analysis of the spatial distribution of sediment production, delivery and yield in the Xihanshui River basin, South Gansu, China, using the modelling tools of SedNet (Prosser et al., 2001). This model can assess the delivery efficiency to downstream locations, as well as identifying locations with high rates of sediment production. Preliminary model experiments assist understanding of the spatial dynamics of these sediment processes and evaluation of the effectiveness of soil conservation practices since the mid-1980s. Three scenario years (dry, average and wet) from the 1983–2005 record are identified and modelled, and land use and management are represented in the model to reflect known changes since the 1980s. Results show hillslope erosion to be a dominant source of sediment supply, causing the latter to decrease ten-fold between 1984 and 1997/2000. Estimated bank erosion and floodplain deposition rates are sensitive to parameter values, but bank erosion appears less sensitive than hillslope supply to rainfall. The model can be used to assess net changes in floodplain storage; for default parameters, floodplain deposition rates are 25–200 times the rates of bank erosion depending on the climate scenario. Comparing simulation results with measured sediment yields at the three gauging stations indicates encouraging agreement in 2000. In 1984 (the wet year), the model under-predicts, suggesting that additional unmodelled sediment production processes, especially mass movement and gully erosion, may be important in wet years. Mass movement inventory data could close the gap between the high yields measured in the wet scenario year and the estimated yield due to hillslope erosion alone. In 1997 (the dry year), the model over-predicts; this suggests that the land use change parameters required to reflect the effects of conservation may not have been sufficient, implying that conservation has been generally effective, and that evidence of declining sediment yield is not simply a reflection of drier conditions.     

Modeling gully initiation by two codeless nonlinear methods:A case study in a small watershed on the Tibetan Plateau

Land and soil resources are scarce in the Tibetan Plateau,and the region is facing ecological pressure from climate warming and increasing human activities.As a major ecological problem,gully erosion is destroying land and soil resources on the Tibetan Plateau,but related research is limited,and suscep-tibility areas and influencing factors are unclear.Machine learning methods are often applied to study gully initiation susceptibility,but they require a programming foundation.Therefore,the Redui water-shed on the southern Tibetan Plateau with severe gully erosion was selected to evaluate the susceptibility and influencing factors of gully initiation through 12 influencing factors including topography,human activity,and underlying surface conditions,and all 2310 gully headcut sites.Two non-code nonlinear modeling methods,the categorical Regression(CATREG)and geographical detector(Geodetector)methods,were first used in the spatial modeling of gully initiation susceptibility.The results showed that the gully initiation susceptibility of the hillslope around the alluvial fan was highest.The very high susceptibility areas of the CATREG model and Geodetector model account for 18.2％and 16％of the total,respectively.The main influencing factors of gully initiation were elevation,relief,and soil type recog-nized by CATREG,and elevation,human footprint,and soil type recognized by Geodetector.Elevation is the primary factor controlling downstream susceptibility in both models.The primary factors in the upper and middle reaches are soil type and relief identified by CATREG.Human footprint,soil type,and distance to road are primary factors in the upper and middle reaches identified by Geodetector.The explanatory power of elevation,elevation-relief interaction,Geodetector model and CATREG model were 39％,54％,46.4％and 73.8％,respectively,at extremely significant levels(P＜0.001),which means that the influencing factors were well considered and that the methods have great application potential in the future.     

Soil-living parasitic Hymenoptera: comparison between a forest and an open landscape habitat

Community structures and local diversity patterns of parasitic Hymenoptera with soil and leaf litter hosts were studied in a German beech forest and a meadow. Hymenoptera appeared to be one of the most species-rich taxa associated with the soil. Eighty-eight species were found in the meadow (total density of 128 ind. m⁻² yr⁻¹) and 188 species (149 ind. m⁻² yr⁻¹) in the forest. The mean parasitism rates were above 60% for parasitoids of mycetophagous Diptera and between 7% and 26% for parasitoids of saprophagous Diptera. Species overlap between both habitats was higher than expected from a random sample model. Species common to both habitats were primarily parasitoids of predatory Coleoptera. High mean densities of these species support the hypothesis of a positive correlation between local abundance and range size.     

日本北海道北部寒温带森林流域林冠层凋落物及其养分归还量的景观格局(英文)

Within a forested watershed at the Uryu Experimental Forest of Hokkaido University in northern Hokkaido, overstory litterfall and related nutrient fluxes were measured at different landscape zones over two years. The wetland zone covered with Picea glehnii pure stand. The riparian zone was deciduous broad-leaved stand dominated by Alnus hirsuta and Salix spp., while the mixture of deciduous broadleaf and evergreen conifer dominated by Betula platyphylla, Quercus crispula and Abies sachalinensis distributed on the upland zone. Annual litterfall averaged 1444, 5122, and 4123 kg.hm^-2·a^-1 in the wetland, riparian and upland zones, respectively. Litterfall production peaked in September-October, and foliage litter contributed the greatest amount （73.4%-87.6 %） of the annual total litterfall. Concentrations of nutrients analyzed in foliage litter of the dominant species showed a similar seasonal variation over the year except for N in P glehnii and A. hirsuta. The nutrient fluxes for all elements analyzed were greatest on riparian zone and lowest in wetland zone. Nutrient fluxes via litterfall followed the decreasing sequence： N （11-129 kg.hm-2.aq） 〉 Ca （9-69） 〉 K （5-20） 〉 Mg （3-15） 〉 P （0.4-4.7） for all stands. Significant differences were found in litterfall production and nutrient fluxes among the different landscape components. There existed significant differences in soil chemistry between the different landscape zones. The consistently low soil C：N ratios at the riparian zone might be due to the higher-quality litter inputs （largely N-fixing alder）.