Tropical ecosystems sustain much of the earth’s biodiversity, provide countless natural products and services—both locally and globally—and play critical roles in the regulation of the climate and the carbon and hydrological cycles. The expansion of agriculture into tropical forest ecosystems will therefore have enormous impacts on factors such as human and animal health (Karesh et al., 2012), ...

Tropical ecosystems sustain much of the earth’s biodiversity, provide countless natural products and services—both locally and globally—and play critical roles in the regulation of the climate and the carbon and hydrological cycles. The expansion of agriculture into tropical forest ecosystems will therefore have enormous impacts on factors such as human and animal health (Karesh et al., 2012), ...

The use of flexible hydrological model structures for hypothesis testing requires an objective and diagnostic method to identify whether a rainfall-runoff model structure is suitable for a certain catchment. To determine if a model structure is realistic, i.e. if it captures the relevant runoff processes, both performance and consistency are important. We define performance as the ability of a ...

There has been increasing interest in algae-based bioassessment, particularly, trait-based approaches are increasingly suggested. However, the main drivers, especially the contribution of hydrological variables, of species composition, trait composition, and beta diversity of algae communities are less studied. To link species and trait composition to multiple factors (i.e., hydrological variab...

Increasingly research suggests that the level of internal regulation of function in agroecosystems is largely dependent on the level of plant and animal biodiversity present. In agroecosystems, biodiversity performs a variety of ecological services beyond the production of food, including recycling of nutrients, regulation of microclimate and local hydrological processes, suppression of undesir...

Over the last few decades, numerous studies have investigated human impacts on drought and flood events, while conversely other studies have explored human responses to hydrological extremes. Yet, there is still little understanding about the dynamics resulting from their interplay, i.e. both impacts and responses. Current quantitative methods therefore can fail to assess future risk dynamics a...

A data mining, regression tree algorithm M5 was used to review the understanding of mutual hydrological and seasonal settings which control the streamwater nitrate flushing during hydrological events within a forested watershed in the southwestern part of Slovenia, characterized by distinctive flushing, almost torrential hydrological regime. 5 The basis for the research presented an extensive d...

In flood frequency analysis, expanding the additional information with hydrological reasoning beyond local at-site samples can be very useful for improving accuracy of distribution (FFD) estimation as well reflecting a better understanding characteristics. this study, river network-based hierarchical model is developed to estimate FFDs in Upper Yangtze basin by making full use both dependence w...

Skilful and reliable precipitation data are essential for seasonal hydrologic forecasting and generation of hydrological data. Although output from dynamic downscaling methods is used for hydrological application, the existence of systematic errors in dynamically downscaled data adversely affects the skill of hydrologic forecasting. This study evaluates the precipitation data derived by dynamic...

Hydrological models are created for a wide range of scales and intents. The Catchment Modelling Framework (CMF) extends the Python programming language with hydrology specific language elements, to setup specific hydrological models adapted to the scientific problems and the dominant flow processes of a particular study area. CMF provides a straightforward method to test hydrological theories a...