Similar Items: Land use affects total dissolved nitrogen and nitrate concentrations in tropical montane streams in Kenya
- Using high-resolution data to assess land use impact on nitrate dynamics in East African Tropical Montane Catchments
- Agricultural land is the main source of stream sediments after conversion of an African montane forest
- Assessment of hydrological pathways in East African montane catchments under different land use
- Land use alters dominant water sources and flow paths in tropical montane catchments in East Africa
- Predicting dissolved organic carbon concentrations in Swedish boreal streams from map information
- Spatial variability of soil N2O and CO2 fluxes in different topographic positions in a tropical montane forest in Kenya
Author: Jacobs, S.R.
- Forests, water and land health are the natural capital of African montane forest ecosystems
- Using high-resolution data to assess land use impact on nitrate dynamics in East African Tropical Montane Catchments
- Tropical Montane Forest Conversion Is a Critical Driver for Sediment Supply in East African Catchments
- Land use alters dominant water sources and flow paths in tropical montane catchments in East Africa
- Variability in tree water uptake determined with stable water isotopes in an African tropical montane forest
- Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science
Author: Breuer, Lutz
- Using high-resolution data to assess land use impact on nitrate dynamics in East African Tropical Montane Catchments
- LandscapeDNDC: A process model for simulation of biosphere–atmosphere–hydrosphere exchange processes at site and regional scale
- Conversion of natural forest results in a significant degradation of soil hydraulic properties in the highlands of Kenya
- Groundwater recharge rates and surface runoff response to land use and land cover changes in semi-arid environments
- Tropical Montane Forest Conversion Is a Critical Driver for Sediment Supply in East African Catchments
- Rainfall-Runoff Modeling Using Crowdsourced Water Level Data