Erosion processes and their impact are driven by a multitude of biophysical factors that are poorly understood in the Andean highlands. The first attempt to assess soil erosion rates in Peru was made by Felipe-Morales et al. (1977) using runoff plots. Since then, very few erosion investigations have followed and reference to Andean soil erosion is often criticized because of the lack of quantit...

The Water Erosion Prediction Project (WEPP) model is a physically-based soil erosion tool developed to predict runoff and erosion. Databases for forest soil, vegetation, and climate conditions have been developed. Background sediment may be generated annually from undisturbed forests, and occasionally following wildfire. In some cases, it may be appropriate to include sediment from essential fo...

The Water Erosion Prediction Project (WEPP) model has been widely used to assess the impacts of management practices and climate change on runoff soil loss at both hillslope watershed scales. However, representation channel erosion processes in WEPP not changed significantly since it was released. current (WEPP v2012.8) previous versions assume that input erodibility parameters are constant thr...

The DHARMA domain-specific middleware system is intended to allow hydrologic field engineers to tackle water-management problems on a scale previously impossible without sophisticated computational management systems. DHARMA provides automatic data acquisition via the Internet; data fusion from online, local, and cached resources; smart caching of intermediate results; parallel process executio...

The DHARMA domain-specific middleware system is intended to allow hydrologic field engineers to tackle water-management problems on a scale previously impossible without sophisticated computational management systems. DHARMA provides automatic data acquisition via the Internet; data fusion from online, local, and cached resources; smart caching of intermediate results; parallel process executio...

Sediment is the greatest pollutant of forest streams. In the absence of wildfire, forest road networks are usually the main source of sediment in forest watersheds. An understanding of forest road erosion processes is important to aid in predicting sediment delivery from roads to streams. The flowpath followed by runoff is the key to understanding road erosion processes. On rutted roads, the fl...

The decision of where, when, and how to apply the most effective postfire erosion mitigation treatments requires land managers to assess the risk of damaging runoff and erosion events occurring after a fire. To meet this challenge, the Erosion Risk Management Tool (ERMiT) was developed. ERMiT is a web-based application that uses the Water Erosion Prediction Project (WEPP) technology to estimate...

Practical decision-making in spatially distributed natural resource management is increasingly based on process models linked to Geographical Information Systems (GIS). Geo-spatial environmental data and decision support tools can now be made available to a much larger audience by using powerful personal computers and internet-accessible mapping tools. Traditionally decision support tools based...