What is he best known for?
The fields of study he is best known for:
- Agriculture
- Ecosystem
- Climate change
Brian D. Amiro focuses on Fire season, Taiga, Fire regime, Climate change and Disturbance.
The concepts of his Fire season study are interwoven with issues in Meteorology and Vegetation.
His study in Vegetation is interdisciplinary in nature, drawing from both Climate model and Physical geography.
His Taiga research is multidisciplinary, incorporating elements of Boreal, Eddy covariance, Carbon cycle and Evapotranspiration.
His Boreal research integrates issues from Ecozone, Biomass, Greenhouse gas and Forest floor.
His Fire weather study, which is part of a larger body of work in Fire regime, is frequently linked to Future studies, bridging the gap between disciplines.
His most cited work include:
- Large forest fires in Canada, 1959–1997 (708 citations)
- Future Area Burned in Canada (677 citations)
- Direct carbon emissions from Canadian forest fires, 1959-1999 (296 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Eddy covariance, Taiga, Boreal, Forestry and Greenhouse gas.
His research in Eddy covariance intersects with topics in Carbon dioxide, Remote sensing, Growing season and Black spruce.
Brian D. Amiro has included themes like Climate change, Carbon cycle, Vegetation, Physical geography and Evapotranspiration in his Taiga study.
In his study, Meteorology is strongly linked to Fire season, which falls under the umbrella field of Vegetation.
Brian D. Amiro combines subjects such as Biometeorology, Primary production and Biome with his study of Boreal.
His study explores the link between Forestry and topics such as Ecozone that cross with problems in Square meter, Biomass and Forest floor.
He most often published in these fields:
- Eddy covariance (32.50%)
- Taiga (31.25%)
- Boreal (20.00%)
What were the highlights of his more recent work (between 2015-2021)?
- Eddy covariance (32.50%)
- Greenhouse gas (18.75%)
- Agriculture (8.75%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Eddy covariance, Greenhouse gas, Agriculture, Beef cattle and Boreal.
Brian D. Amiro has researched Eddy covariance in several fields, including Biosphere and Downscaling.
Brian D. Amiro interconnects Carbon sequestration, Fertilizer and Spring in the investigation of issues within Greenhouse gas.
His Boreal study combines topics in areas such as Peat, Global warming and Physical geography.
His research combines Taiga and Climate change.
His Taiga research incorporates elements of Old-growth forest, Meteorology, FluxNet and Biogeochemistry.
Between 2015 and 2021, his most popular works were:
- The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (67 citations)
- Carbon neutral or a sink? Uncertainty caused by gap-filling long-term flux measurements for an old-growth boreal black spruce forest (22 citations)
- Lower Nitrous Oxide Emissions from Anhydrous Ammonia Application Prior to Soil Freezing in Late Fall Than Spring Pre-Plant Application (22 citations)
In his most recent research, the most cited papers focused on:
- Agriculture
- Ecosystem
- Climate change
His main research concerns Eddy covariance, Agriculture, Profiling, Agrology and Soil science.
His Eddy covariance research incorporates themes from Global warming, Boreal, Peat and Evapotranspiration.
His study in Agriculture is interdisciplinary in nature, drawing from both Manure and Greenhouse gas.
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