Water body and riparian buffer strip characteristics in a vineyard area to support aquatic pesticide exposure assessment
Introduction
In recent years, the implementation of a probabilistic pesticide risk assessment has been discussed at the EU level; in 2001, such an assessment was recommended by the European Workshop of Probabilistic Risk Assessment for the Environmental Impacts of Plant Protection Products (EUPRA) (Hart, 2001). In Germany, a geodata-based probabilistic approach is currently being debated for aquatic pesticide exposure assessment, and a framework has been proposed for evaluation of spray drift in permanent crops (Schulz et al., 2009). In contrast to the current deterministic exposure model, the probabilistic approach uses distribution functions as input factors. It therefore yields a result that reflects variation and uncertainty rather than a fixed, deterministic result (Hart, 2001). A key argument for the use of probabilistic exposure estimation is thus the increased realism of results that are based on the actual spatial variability of exposure-relevant landscape characteristics (e.g., buffer strip width and water body width and depth). Furthermore, the probabilistic approach can consider additional landscape characteristics (e.g., spray drift reduction of riparian vegetation) that have not yet been included in the deterministic assessment.
The successful implementation of the geodata-based probabilistic concept requires detailed spatial information concerning exposure-determining landscape characteristics in the field, which can already be derived from various databases (Table 1). The main resource available in Germany is the nationwide digital landscape model, which has a scale of 1:25,000 (DLM 25) and is included in the topographic–cartographic information system (ATKIS). However, ATKIS to some extent lacks both important types of information concerning landscape characteristics (e.g., height and density of riparian vegetation) and appropriate levels of data precision (e.g., water surface width is only defined in classes of < 3 m, 3–6 m, and 6–12 m). Although this missing information is often available in other databases, only field surveys can exhaustively fill the data gaps (Table 1).
The results of field surveys can be used to calculate the distribution functions of landscape characteristics, which can be used either to directly describe landscape characteristics in a truly probabilistic approach or to derive more realistic, conservative values. Field results can be further analysed to develop rules for deriving unknown landscape characteristics from other available information. Moreover, the survey information serves as so-called “groundtruthing” or validation for ATKIS DLM 25 data by comparing it to actual field conditions and thereby improving the data system. Discrepancies between ATKIS and field data are currently one of the main unsolved problems facing geodata-based probabilistic risk assessment (Schulz et al., 2009). Without proper data validation, any probabilistic approach promises unrealistic accuracy and precision.
To date, the literature includes no field surveys that focused on detailed landscape characterisation for refining geodata-based probabilistic exposure assessment. However, Bach et al., 1994a, Bach et al., 1994b, Bach et al., 1997 investigated riparian buffer strips with regard to their potential nutrient reduction efficiency in three small catchment areas along a 300 km stretch of water in central Germany. They described buffer width and riparian vegetation type, but focused on identifying potential concentrated runoff flow paths.
Exposure estimations that consider landscape characteristics derived from currently available databases (Table 1) are currently inaccurate due to the following data gap categories:
- (1)
Water body characteristics (hydrology, width, depth), which influence calculations of in-stream pesticide exposure;
- (2)
characteristics of riparian buffer strips (width, ground vegetation cover percentage, existence of concentrated flow paths), which are relevant for pesticide runoff exposure estimations; and
- (3)
presence and characteristics of riparian vegetation in the shrub and tree layer (type, height, optical density), which are relevant for spray drift exposure estimations.
The present study focused on these data types and provided exposure-relevant landscape characteristics for a winegrowing region in southwest Germany. The data were collected at 104 water body segments in the study area and were assessed based on the assumptions currently made during the regulatory exposure estimation process.
Section snippets
Study area
Field surveys were carried out from July to October 2006 in the winegrowing region of Palatinate in the federal state of Rheinland-Pfalz in southwest Germany. Study sites were located along a 40 km section of the German wine route between Bad Bergzabern and Kallstadt. The region is characterised by intensive winegrowing, which accounts for approximately 53% of agricultural land use. About 2% of agricultural land is used for fruit-growing, and the remainder (45%) is used for the cultivation of
Water body characteristics
According to the Federal state water act of Rheinland-Pfalz Germany (LWG-RLP., 2004), all investigated water body segments were water bodies of the third order, which means that they are relative small and have only a subordinate importance for water supply. A total of 43 (41%) water body segments were classified as permanent, 18 (17%) were periodic and 43 (41%) were ephemeral. The latter were typically drainage ditches that only contained water after heavy rainfall events. More than half of
Effects of water body characteristics on in-stream pesticide exposure concentrations
A high percentage (58%) of water bodies were prone to drying in the summer in the study area. This is supported by the studies of Bach et al. (1994b), who evaluated a river catchment in an intensive cropland in the middle of Germany during January and February and found that 45.5% of river segments were dry. These findings are important for evaluating the extent to which temporary water bodies are relevant for pesticide risk assessment for surface waters. German pesticide risk assessment
Conclusion
Field surveys are a helpful tool to obtain the necessary information on exposure-relevant landscape characteristics and to fill the information gaps of nationwide available digital databases according to Table 1. The results of our field survey show that there is a strong need to implement detailed survey information on water body and riparian buffer strip characteristics in the exposure assessment of pesticides, otherwise an underestimation of exposure via spray drift and runoff has to be
Acknowledgments
The authors would like to thank K. Zenker for the help with the field surveys, B. Ehrlich for the support in developing practical field work methods, T. Schad for the help with site selection, M. Trapp and G. Tintrup for the software advice and Sebastian Stehle, Jörn Wogram and the two anonymous reviewers for the helpful comments on earlier drafts of the manuscript.
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