What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Biodiversity
Martin C. Thoms mostly deals with Ecology, Ecosystem, Hydrology, Floodplain and Drainage basin.
His Ecology research includes themes of Structural basin and Fluvial.
His Ecosystem research is multidisciplinary, incorporating perspectives in Geomorphology, Biocomplexity, Environmental resource management and Water resources.
His work on Hydrology is being expanded to include thematically relevant topics such as Lake ecosystem.
The Floodplain study combines topics in areas such as Littoral zone, Sediment and Wetland.
His Drainage basin study combines topics in areas such as Macrophyte, Nutrient, Tributary and Diatom.
His most cited work include:
- The riverine ecosystem synthesis : Biocomplexity in river networks across space and time (616 citations)
- What is river health (295 citations)
- Flow variability in dryland rivers: boom, bust and the bits in between (227 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Hydrology, Floodplain, Ecology, Ecosystem and Environmental resource management.
His Hydrology study typically links adjacent topics like Sediment.
In Floodplain, Martin C. Thoms works on issues like Productivity, which are connected to Normalized Difference Vegetation Index.
His Habitat, Biocomplexity, Trophic level and Plankton study, which is part of a larger body of work in Ecology, is frequently linked to Water hole, bridging the gap between disciplines.
His research integrates issues of Ecology, Complex response and Food chain in his study of Ecosystem.
The various areas that Martin C. Thoms examines in his Environmental resource management study include Sustainability and Ecosystem services.
He most often published in these fields:
- Hydrology (44.78%)
- Floodplain (32.61%)
- Ecology (28.70%)
What were the highlights of his more recent work (between 2013-2021)?
- Environmental resource management (20.87%)
- Hydrology (44.78%)
- Ecosystem (26.96%)
In recent papers he was focusing on the following fields of study:
His main research concerns Environmental resource management, Hydrology, Ecosystem, Ecology and Floodplain.
Martin C. Thoms interconnects River ecosystem, Sustainability and Ecosystem services in the investigation of issues within Environmental resource management.
His work on Channel as part of general Hydrology study is frequently connected to Reductionism, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Ecosystem research incorporates elements of Habitat, Complex response, Food chain, Vegetation and Hydrology.
His Habitat research is multidisciplinary, incorporating elements of Biocomplexity, Hydrogeomorphology and Hydropower.
His Floodplain research is multidisciplinary, relying on both Productivity, Flood myth, Flooding and Wetland.
Between 2013 and 2021, his most popular works were:
- A Watershed Integrity Definition and Assessment Approach to Support Strategic Management of Watersheds (41 citations)
- Ecological significance of hydrological connectivity for wetland plant communities on a dryland floodplain river, MacIntyre River, Australia (28 citations)
- Floodplain complexity and surface metrics: Influences of scale and geomorphology (27 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Biodiversity
Martin C. Thoms mainly focuses on Environmental resource management, Ecosystem, Floodplain, Hydrology and Ecology.
In his research on the topic of Environmental resource management, Ecosystem services, Environmental planning and River assessment is strongly related with Sustainability.
His Ecosystem study frequently links to adjacent areas such as Habitat.
Floodplain and Scale are two areas of study in which he engages in interdisciplinary research.
His work carried out in the field of Hydrology brings together such families of science as Productivity and Plant community.
Many of his studies on Ecology involve topics that are commonly interrelated, such as Structural basin.
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.
