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, […]

Articles

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 […]

Events

M-TROPICS was in the spotlight at the OZCAR annual meeting 2022

Emma Rochelle-Newall (iEES Paris-IRD) gave a talk as ‘Grand Témoin’ at the OZCAR annual meeting in Vogüé, Ardèche (March 7-10). She explained how sediment and their interactions with pollutants influence ecosystem and human health, and she took examples from the many studies carried out by M-TROPICS in Lao PDR and Vietnam.

Articles

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 […]

Events

Handing over of equipment to DALaM and MouNoy Dev

As part of the long-term collaboration between IRD (UMRs iEES-Paris and GET) and its Lao partners, which has resulted into the implementation of several partnership instruments such as the JEAI-EcoRubber, the LMI LUSES, and more recently the PSF-Sud AgreesLao, GDRI CompacSol, as well as the CZO M-TROPICS and the SEALNET network, in January 2022 research/production […]

Articles

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 […]

Events

Dissemination of pathogenic bacteria in tropical hydrosystems: transport and fate of Escherichia coli in the Mekong watershed in Lao PDR

Paty Nakhle, PhD student within M-TROPICS CZO, defended her PhD thesis today at GET. Fecal contamination of surface water remains a major threat to public health especially in the rural areas of developing countries. Over 70 million people depend on unimproved water resources in the lower Mekong basin. Diarrheal diseases are a leading cause of […]

Articles

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 […]

Articles

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 […]