Articles

AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods

Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine-learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine-learning models are a time-intensive process. In this study led by Ather Abbas, PhD student at UNIST, […]

Impact of Rainfall Variability and Land Use Change on River Discharge in South Cameroon

Climate change, climate variability, and anthropogenic forcings such as land use change are the main drivers of river discharge variability. However, an understanding of their simultaneous impacts on river discharge remained limited in some parts of the world. The objective of this article led by Valentin Brice Ebodé from the University of Youndé, Cameroon, was […]

Tailor-made biochar systems: Interdisciplinary evaluations of ecosystem services and farmer livelihoods in tropical agro-ecosystems

Organic matter management is key to sustain ecosystem services provided by soils. However, it is rarely considered in a holistic view, considering local resources, agro-environmental effects and harmonization with farmers’ needs. Organic inputs, like compost and biochar, could represent a sustainable solution to massive current challenges associated to the intensification of agriculture, in particular for […]

Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India

Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India. Soil organic carbon is regulated by a dynamic interaction between vegetation inputs, organic matter degradation, and stabilization processes in soils, and its redistribution in the landscape. Many processes of the soil carbon cycle […]

In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models

Contamination of surface waters with microbiological pollutants is a major concern to public health. Although long-term and high-frequency Escherichia coli (E. coli) monitoring can help prevent diseases from fecal pathogenic microorganisms, such monitoring is timeconsuming and expensive. Process-driven models are an alternative means for estimating concentrations of fecal pathogens. However, process-based modeling still has limitations […]

Overland flow during a storm event strongly affects stream water chemistry and bacterial community structure

As flood events are expected to become more frequent due to climate change, investigating how overland flow exports terrestrial nutrients, carbon and living organisms into aquatic systems is essential for understanding both soil and stream ecosystem status. In this paper led by Huong Le, former PhD student at iEES Paris, the authors assessed how dissolved […]

Agricultural groundwater with high nitrates and dissolved salts given to pregnant mice alters brain development in the offspring

This new paper, at the interface between environment and health, shows that groundwater contaminated by agricultural inputs from the Indian site of Berambadi (M-TROPICS observatory), significantly impacts the brain development of mice when given to pregnant or lactating mice: fewer neurons, fewer astrocytes (white blood cells in the brain), and more dead cells in the […]

Decay Rate of Escherichia coli in a Mountainous Tropical Headwater Wetland

Fecal indicator bacteria like Escherichia coli (E. coli) are widely used to assess water contamination, but their behavior in tropical ecosystems is poorly documented. The main objectives of this study led by Paty Nakhle, PhD student at GET in collaboration with iEES Paris, were to: (i) evaluate decay rates (k) of the total, particle-attached and […]

The M-TROPICS CZO releases long-term meteorological, hydrological, sedimentary geochemical, and land use datasets in Cameroon, Lao PDR, and India

The CZO M-TROPICS (Multiscale TROPIcal CatchmentS) investigates the response of tropical catchments to global change based on long-term collection of meteorological, hydrological, sedimentary, geochemical, and land use data in partnership with academic and governmental institutions in various tropical countries. M-TROPICS includes in particular the experimental watersheds of Nyong in Cameroon (1994-), Houay Pano in Lao […]