A Probabilistic Model for Deriving Soil Quality Criteria Based on Secondary Poisoning of Top Predators

Jongbloed, R.H.; Traas, Theo P.; Luttik, Robert

doi:10.1006/eesa.1996.0072

Cited by 52 publications

(30 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Small mammals are important animals in riverine ecosystems, because of their feeding and burrowing activities and their role in food webs . They are important prey items for several endangered or protected birds of prey and carnivorous mammals (Erlinge et al, 1983;Jongbloed et al, 1996;Hanski et al, 2001;Leuven et al, 2005), for which many floodplains are assumed to function as important conservation areas (Andersen et al, 2000;Wike et al, 2000;Robinson et al, 2002;Van den Brink et al, 2003;De Nooij et al, 2004). As predators predominantly forage in areas with abundant prey, it is important to understand the temporal and spatial distribution patterns of small mammals.…”

Section: Introductionmentioning

confidence: 99%

Modelling Recolonisation of Heterogeneous River Floodplains by Small Mammals

et al. 2006

View full text Add to dashboard Cite

Riverine landscapes are characterised by recurrent flooding events and successional landscape mosaics with high habitat heterogeneity, providing species-specific patterns of suitable and unsuitable biotopes. Landscape characteristics, like distance, barriers and their specifications (e.g. cumulative barrier width, barrier number) and the spatial arrangement of suitable habitat areas, are expected to affect the dispersal of animals in landscapes. The distribution of voles, shrews and mice in a floodplain was monitored for 2 years using live traps. Recolonisation was found to be a slow process, resulting in a heterogeneous distribution of small mammals in the floodplains. Microtus arvalis was found just after the floods in low densities and on or near non-flooded areas only. From summer to autumn densities gradually increased, and specimens could be observed on larger distances from the non-flooded areas. The density development pattern of Crocidura russula was similar to that of M. arvalis, but densities increased faster. In contrast, Clethrionomys glareolus and Sorex araneus could immediately be observed in the former flooded areas just after the floods, but throughout the year these species were not trapped on distances further than 120 m from the non-flooded areas. Micromys minutus and Apodemus sylvaticus were trapped only occasionally in spring and summer after which those species could be found throughout the floodplain in larger densities in autumn. To analyse the influence of landscape characteristics on recolonisation, the floodplain was classified into suitable, marginal and unsuitable habitat landscape units for each of the small mammal species, based on the trapping results. Landscape characteristics relating to monitoring sites were measured from an aerial photograph using a geographic information system. After that, presence and recolonisation time of small mammals at monitoring sites could be described by multiple regression models based on these measured landscape characteristics. The predictive power of these models was tested in another floodplain by determining the species distribution after 35 weeks. Multiple regression models appeared to be useful in analysing recolonisation patterns and determining the importance of landscape characteristics for recolonisation by small mammals after flooding events. Available distribution data suggest three different types of recolonisers: (1) Gradual, density induced colonisers; (2) Active dispersers and (3) Long-distance dispersers after a lag. Results of regression models confirmed that M. arvalis could be characterised as a type 1 and A. sylvaticus as a type 3 species. The classification of the other species was not possible due to the relatively short time available for recolonisation.

show abstract

Section: Introductionmentioning

confidence: 99%

Modelling Recolonisation of Heterogeneous River Floodplains by Small Mammals

et al. 2006

View full text Add to dashboard Cite

show abstract

“…, mammals and birds) in floodplains have generally been based on soil contaminant levels combined with accumulation factors, consumption rates, and life expectancies (Jongbloed et al . 1996; Pascoe et al . 1996; Kooistra et al .…”

mentioning

confidence: 99%

“…1983; Jongbloed et al . 1996). Because these small-mammal species can be numerous in certain areas within the floodplains and are often mentioned as species at risk of toxicologic effects of the current contaminant levels in floodplains themselves, they are suitable as monitors of contaminant levels in floodplain ecosystems.…”

mentioning

confidence: 99%

Heavy-Metal Concentrations in Small Mammals from a Diffusely Polluted Floodplain: Importance of Species- and Location-Specific Characteristics

Wijnhoven

Leuven

Velde

et al. 2007

Arch Environ Contam Toxicol

View full text Add to dashboard Cite

Abstract. The soil of several floodplain areas along large European rivers shows increased levels of heavy metals as a relict from past sedimentation of contaminants. These levels may pose risks of accumulation in food webs and toxicologic effects on flora and fauna. However, for floodplains, data on heavy-metal concentrations in vertebrates are scarce. Moreover, these environments are characterised by periodical flooding cycles influencing ecologic processes and patterns. To investigate whether the suggested differences in accumulation risks for insectivores and carnivores, omnivores, and herbivores are reflected in the actual heavy-metal concentrations in the species, we measured the current levels of Zn, Cu, Pb, and Cd in 199 specimens of 7 small mammal species (voles, mice, and shrews) and in their habitats in a diffusely polluted floodplain. The highest metal concentrations were found in the insectivorous and carnivorous shrew, Sorex araneus. Significant differences between the other shrew species, Crocidura russula, and the vole and mouse species was only found for Cd. The Cu concentration in Clethrionomys glareolus, however, was significantly higher than in several other vole and mouse species. To explain the metal concentrations found in the specimens, we related them to environmental variables at the trapping locations and to certain characteristics of the mammals. Variables taken into account were soil total and CaCl 2 -extractable metal concentrations at the trapping locations; whether locations were flooded or nonflooded; the trapping season; and the life stage; sex; and fresh weight of the specimens. Correlations between body and soil concentrations and location or specimen characteristics were weak. Therefore; we assumed that exposure of small mammals to heavy-metal contamination in floodplains is significantly influenced by exposure time, which is age related, as well as by dispersal and changes in foraging and feeding patterns under influence of periodic flooding.

show abstract

“…According to the toxicity standard of pollutant on invertebrates in soils from Urzelai et al (2000), the ecological risk of HCHs in Changbai County is fairly low. In addition, according to the Jongbloed's foodchain model (Jongbloed et al 1996), DDT residues in Changbai County may lead to potential ecological risk on birds and soil organisms. The total PCBs concentration were in the range of 7.32-31.9 ng g -1 with the geometric mean level of 17.2 ng g -1 and the main compounds were PCB28 and PCB 52.…”

Section: Resultsmentioning

confidence: 99%

Multi-medium Distributions of HCHs, DDTs, and PCBs in Typical Petrochemical Industrial Area and Surrounding Regions of Jilin Province, Northeast China

Wang

Yang

Pan

et al. 2012

Bull Environ Contam Toxicol

View full text Add to dashboard Cite

The levels of DDTs, HCHs and PCBs in topsoil, cereal and irrigation water from typical industrial and agricultural areas of Jilin Province in Northeastern China were evaluated by using gas chromatography coupled with an electron capture detector. The amount of ∑OCPs and ∑(7)PCBs found in topsoils ranged from 24.7 to 98.0 and 17.2 to 98.7 ng g(-1), respectively. The geometric means of ∑HCHs, ∑DDTs and ∑(7)PCBs in rice stem samples were 28.9, 32.4 and 49.0 ng g(-1), respectively. The average level of total OCPs concentration in rice field water in Meihekou area (0.849 ng g(-1)) is higher than that in Jilin area (0.178 ng g(-1)) and all OCPs concentrations in rice field water met the water quality standards for Grade I regulated by China's national environmental quality standard of surface water.

show abstract

A Probabilistic Model for Deriving Soil Quality Criteria Based on Secondary Poisoning of Top Predators

Cited by 52 publications

References 12 publications

Modelling Recolonisation of Heterogeneous River Floodplains by Small Mammals

Modelling Recolonisation of Heterogeneous River Floodplains by Small Mammals

Heavy-Metal Concentrations in Small Mammals from a Diffusely Polluted Floodplain: Importance of Species- and Location-Specific Characteristics

Multi-medium Distributions of HCHs, DDTs, and PCBs in Typical Petrochemical Industrial Area and Surrounding Regions of Jilin Province, Northeast China

Contact Info

Product

Resources

About