What is he best known for?
The fields of study he is best known for:
- Agriculture
- Ecology
- Carbon dioxide
Ryusuke Hatano spends much of his time researching Soil water, Agronomy, Hydrology, Peat and Fertilizer.
Soil water is a subfield of Soil science that Ryusuke Hatano explores.
His work in the fields of Paddy field, Growing season and Straw overlaps with other areas such as Closed chamber.
The study incorporates disciplines such as Environmental chemistry and Bulk density in addition to Hydrology.
His Peat research incorporates elements of Agroforestry, Forest ecology, Ecosystem and Methane.
His research in Fertilizer intersects with topics in Soil classification, Denitrification, Manure and Nitrous oxide.
His most cited work include:
- Quantification of compaction effects on soil physical properties and crop growth (321 citations)
- Soil CO2 flux from three ecosystems in tropical peatland of Sarawak, Malaysia (144 citations)
- Falling atmospheric pressure as a trigger for methane ebullition from peatland (142 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Agronomy, Soil water, Hydrology, Grassland and Greenhouse gas.
His Agronomy research is multidisciplinary, incorporating elements of Primary production, Soil carbon and Nitrogen.
His Soil water research includes themes of Environmental chemistry and Mineralogy.
The various areas that Ryusuke Hatano examines in his Grassland study include Agroforestry and Forestry.
His Greenhouse gas course of study focuses on Peat and Methane, Water table and Botany.
Ryusuke Hatano works mostly in the field of Manure, limiting it down to concerns involving Fertilizer and, occasionally, Nitrous oxide.
He most often published in these fields:
- Agronomy (30.82%)
- Soil water (24.73%)
- Hydrology (19.35%)
What were the highlights of his more recent work (between 2015-2021)?
- Agronomy (30.82%)
- Soil carbon (8.96%)
- Soil water (24.73%)
In recent papers he was focusing on the following fields of study:
Ryusuke Hatano mainly investigates Agronomy, Soil carbon, Soil water, Greenhouse gas and Grassland.
The Agronomy study combines topics in areas such as Andosol, Crop residue and Peat.
His research integrates issues of Organic matter, Total organic carbon and Precipitation in his study of Soil water.
Ryusuke Hatano has researched Greenhouse gas in several fields, including Primary production, Ecosystem, Nitrous oxide, Charcoal and Methane.
As a member of one scientific family, Ryusuke Hatano mostly works in the field of Methane, focusing on Carbon dioxide and, on occasion, Tropical peat and Environmental chemistry.
His Grassland study integrates concerns from other disciplines, such as Soil science, Deposition, Soil respiration and Land use, land-use change and forestry.
Between 2015 and 2021, his most popular works were:
- Comparison of Langmuir and Freundlich adsorption equations within the SWAT-K model for assessing potassium environmental losses at basin scale (28 citations)
- Effect of groundwater level fluctuation on soil respiration rate of tropical peatland in Central Kalimantan, Indonesia (19 citations)
- Evaluating the effect of liming on N 2 O fluxes from denitrification in an Andosol using the acetylene inhibition and 15 N isotope tracer methods (17 citations)
In his most recent research, the most cited papers focused on:
- Agriculture
- Ecology
- Carbon dioxide
His primary scientific interests are in Soil water, Agronomy, Soil carbon, Grassland and Andosol.
His work carried out in the field of Soil water brings together such families of science as Environmental chemistry, Denitrification and Evapotranspiration.
His Environmental chemistry study incorporates themes from Soil classification and Water content.
His Agronomy study frequently involves adjacent topics like Soil horizon.
The concepts of his Grassland study are interwoven with issues in Soil respiration, Manure and Topsoil.
His Manure research includes elements of Nitrous oxide, Fertilizer, Land use, land-use change and forestry and Nitrogen.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
