Measuring soil erosion by field plots: Understanding the sources of variation
Introduction
During the last twenty years many projects have been carried to quantify erosion rates out in different type of ecosystems. The results have provided a large database that allows the specific achievements to be described at a more conceptual level. Reflections of this type were presented by several authors working in different aspects of soil erosion processes and at different scales (Lavee et al., 1998, Puigdefábregas et al., 1999, Cammeraat, 2002, Calvo-Cases et al., 2003, Cammeraat, 2004, Brazier, 2004, Puigdefábregas, 2005, de Vente and Poesen, 2005, Boix-Fayos et al., 2005, Boix-Fayos et al., in press), and in extended reviews on collected soil erosion data (Cerdà, 2001, Romero Díaz, 2002). All such reflections are important since they permit us to learn from past experience and to delineate future bases of research.
Analysis of all the data available points to a large variation in the erosion rates measured and also to the large variation in methods used. Fig. 1 for example shows just some of the types and size of plot used in our own research.
Part of this variation can be explained by the variability of natural conditions (natural variability) and partly by the disturbance caused by the experimental design of field measurements (measurement variability). These concepts were previously introduced by Bagarello and Ferro (1998) and Nearing et al. (1999).
In general, there is a demand for knowledge of the soil erosion processes occurring in plots of different sizes and of factors that determine natural variability, as a basis for obtaining soil loss data of good quality (Bagarello and Ferro, 2004). Among the causes of measurement variability, human disturbance in collecting the data has been reported to be an important source of variation (Zobisch et al., 1996), because of the differences in accuracy and consistency of the way of operating by human hands.
Several issues are crucial as far as the suitability and performance of a field experimental design is concerned: (i) temporal and spatial scales, (ii) representation of natural conditions, (iii) the disturbance of natural conditions and (iv) account of the complexity of ecosystem interactions (Table 1). In this paper the limitations and advantages of using plots are approached from the perspective of these issues, all of which overlap and have as their basis two concepts: spatial scale and thresholds, and it is these concepts which determine the behaviour of the processes involved in the erosion response.
This paper sets out to examine the suitability of using field plots to measure soil loss, taking into consideration the functioning of natural processes, as influenced by the characteristics of the plots themselves. The objectives of the paper are to review the main sources of variation in data due to the use of field plots to measure soil erosion and to analyse the processes responsible for this variation.
Section snippets
Temporal scale of measurements
The first restriction when measuring soil erosion in field plots is the temporal scale involved. Most monitoring programs are limited to very few years, which implies that measurements are not necessarily representative of long-term erosion rates and long-term fluctuations in the controls. However, erosion plots remain one of the most widely applied methods for estimating field erosion rates over short and medium time periods.
Some authors (Ollesch and Vacca, 2002) recommend long-term studies
Spatial scale of measurements
The second important restriction in measuring soil erosion by means of field plots involves the spatial scale of the plot, which is important if we are to obtain a real representation of the natural functioning of an ecosystem.
Representation and disturbance of natural conditions
Spatial scale issues are very closely related with the degree of representation of the real field conditions. Measurements at one specific scale represent only part of the reality at that scale level, limiting our focus of observation.
Complexity of system interactions
As regards the representativeness of field variability in experimental plots, the wide complexity of interactions existing within a system are often not accounted for in the experimental design.
The relations between vegetation, infiltration and erosion processes vary according to the scale of measurement and the temporal feedback mechanisms that occur between geomorphological and ecological aspects of the system. Puigdefábregas (2005) demonstrates a clear example of the complexity of
Conclusions and recommendations
The acquisition of real data of soil loss is a very complex subject, involving technical problems that are difficult to solve. Data from experimental measurements must be interpreted according to the method used to obtain them and depend on the spatial scale of measurement. Both methods and scale of measurement, must be designed according to the objectives of the research. Very often soil erosion data available for an area do not accurately reflect erosion rates for that area but must be
Acknowledgements
This research was financially supported by the Commission of the European Union through research contracts ERMES I (EV5V-CT91-0023), ERMES II (ENV4-CT95-0181), EUROSEM (STEP programme contract no 0053) and MWISED (ENV4-CT97-0687); the Spanish Ministries of Environment and of Science and Technology (CICYT) through contract RESEL (Contribución Española al Desarrollo del Convenio Mundial para Prevenir la Desertificación: I. — Red de Cuencas y Parcelas Experimentales de seguimiento y Evaluación de
References (101)
- et al.
Methodologies for interrill soil erosion studies
Soil and Tillage Research
(1999) Estimating erosion rates — field experiments
- Arnau-Rosalén, E., Calvo-Cases, A., 2005. Patrones de distribución espacial de los componentes superficiales del suelo...
- et al.
Calibrating storage tanks for soil erosion measurement from plots
Earth Surface Processes and Landforms
(1998) - et al.
Plot-scale measurement of soil erosion at the experimental area of Sparacia (southern Italy)
Hydrological Processes
(2004) - et al.
Linkages between microbial and hydrologic processes in arid and semiarid watersheds
Ecology
(2005) A hierarchical view of the interactions of runoff and infiltration with vegetation and microtopography in semiarid shrublands
Catena
(1998)- et al.
On the scale problem in hydrological modeling
Journal of Hydrology
(1998) - et al.
Effects of spatially structured vegetation patterns on hillslope erosion in a semiarid Mediterranean environment. A simulation study
Earth Surface Processes and Landforms
(2005) - Boix-Fayos, C., 1999. Procesos geomórficos en diferentes condiciones ambientales mediterráneas: el estudio de la...