What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Soil water, Botany, Ecology, Microbial population biology and Biomass.
His study in Soil water is interdisciplinary in nature, drawing from both Environmental chemistry, Bacterial growth and Fatty acid.
The study incorporates disciplines such as Organic matter, Soil pH and Animal science in addition to Botany.
He has researched Soil pH in several fields, including Agronomy and Soil microbiology.
Nutrient and Ecosystem is closely connected to Biomass in his research, which is encompassed under the umbrella topic of Microbial population biology.
As a part of the same scientific family, Erland Bååth mostly works in the field of Biomass, focusing on Mycorrhiza and, on occasion, Mycelium.
His most cited work include:
- Soil bacterial and fungal communities across a pH gradient in an arable soil. (1902 citations)
- The use of phospholipid fatty acid analysis to estimate bacterial and fungal biomass in soil (1830 citations)
- Phospholipid Fatty Acid composition, biomass, and activity of microbial communities from two soil types experimentally exposed to different heavy metals. (1119 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Soil water, Botany, Bacterial growth, Microbial population biology and Environmental chemistry.
His studies deal with areas such as Agronomy and Fatty acid as well as Soil water.
The Botany study combines topics in areas such as Humus, Horticulture, Mycorrhiza, Biomass and Animal science.
His research integrates issues of Food science, Microorganism, Soil respiration, Respiration and Microbiology in his study of Bacterial growth.
His Microbial population biology research is multidisciplinary, relying on both Biomass, Soil biology, Microbial ecology and Soil microbiology.
His work carried out in the field of Environmental chemistry brings together such families of science as Contamination, Soil contamination, Soil organic matter, Pollution and Pollution-induced community tolerance.
He most often published in these fields:
- Soil water (49.12%)
- Botany (35.96%)
- Bacterial growth (31.14%)
What were the highlights of his more recent work (between 2011-2021)?
- Bacterial growth (31.14%)
- Soil water (49.12%)
- Microbial population biology (28.51%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Bacterial growth, Soil water, Microbial population biology, Environmental chemistry and Ecology.
His Bacterial growth research includes elements of Microorganism, Botany, Respiration and Animal science.
His Botany course of study focuses on Horticulture and Ph gradient.
His Soil water research includes themes of Nutrient and Agronomy.
His Microbial population biology research incorporates elements of Adaptation, Rhizosphere and Microbial ecology.
His biological study spans a wide range of topics, including Contamination, Land reclamation, Pollution, Biomass and Pollution-induced community tolerance.
Between 2011 and 2021, his most popular works were:
- Microbial growth responses upon rewetting soil dried for four days or one year (80 citations)
- Temperature adaptation of bacterial communities in experimentally warmed forest soils (76 citations)
- Prolonged drought changes the bacterial growth response to rewetting (73 citations)
In his most recent research, the most cited papers focused on:
Erland Bååth mostly deals with Bacterial growth, Soil water, Microbial population biology, Agronomy and Ecology.
The concepts of his Bacterial growth study are interwoven with issues in Topsoil, Ecosystem, Animal science and Substrate.
His research on Soil water focuses in particular on Soil pH.
His research in Microbial population biology intersects with topics in Rhizosphere, Soil test and Soil horizon.
His Agronomy research is multidisciplinary, incorporating perspectives in Soil carbon and Nutrient.
His work in the fields of Taiga overlaps with other areas such as δ15N.
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.
