What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Carbon dioxide
His scientific interests lie mostly in Ecosystem, Ecology, Atmospheric sciences, Eddy covariance and Dry season.
Scott R. Saleska has included themes like Global warming, Climate change, Soil science and Biosphere in his Ecosystem study.
Within one scientific family, Scott R. Saleska focuses on topics pertaining to Carbon sequestration under Ecology, and may sometimes address concerns connected to Disturbance.
His Atmospheric sciences research incorporates themes from Soil water, Carbon cycle and Greenhouse gas.
His Eddy covariance study integrates concerns from other disciplines, such as Primary production, Covariance and Evapotranspiration.
His work deals with themes such as Tropical savanna climate, Canopy, Precipitation and Wet season, which intersect with Dry season.
His most cited work include:
- Carbon in Amazon Forests: Unexpected Seasonal Fluxes and Disturbance-Induced Losses (584 citations)
- Amazon rainforests green‐up with sunlight in dry season (562 citations)
- Factors controlling long- and short-term sequestration of atmospheric CO2 in a mid-latitude forest. (546 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Atmospheric sciences, Ecology, Ecosystem, Amazon rainforest and Eddy covariance.
His Atmospheric sciences research is multidisciplinary, relying on both Photosynthesis, Canopy, Carbon cycle and Seasonality.
His Canopy research is multidisciplinary, incorporating elements of Dry season, Phenology and Stomatal conductance.
His Ecosystem research includes elements of Global warming, Biogeochemical cycle and Respiration.
His research investigates the link between Amazon rainforest and topics such as Rainforest that cross with problems in Amazonian.
His Eddy covariance study which covers Hydrology that intersects with Soil water.
He most often published in these fields:
- Atmospheric sciences (31.97%)
- Ecology (29.25%)
- Ecosystem (25.17%)
What were the highlights of his more recent work (between 2019-2021)?
- Ecology (29.25%)
- Ecosystem (25.17%)
- Atmospheric sciences (31.97%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Ecology, Ecosystem, Atmospheric sciences, Amazon rainforest and Climate change.
In the field of Ecology, his study on Rainforest, Land use, land-use change and forestry, Secondary forest and Pasture overlaps with subjects such as Microbiome.
Ecosystem and Amazon forest are frequently intertwined in his study.
His research integrates issues of Photosynthesis, Latent heat, Evapotranspiration and Biogeochemical cycle in his study of Atmospheric sciences.
The Amazon rainforest study combines topics in areas such as Drought resistance and Tree species.
The various areas that he examines in his Climate change study include Canopy, Earth science and Earth system science.
Between 2019 and 2021, his most popular works were:
- The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (67 citations)
- Empirical evidence for resilience of tropical forest photosynthesis in a warmer world. (5 citations)
- Ecology and molecular targets of hypermutation in the global microbiome (5 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Carbon dioxide
Scott R. Saleska mainly focuses on Atmospheric sciences, Eddy covariance, Ecology, Ecosystem and Pipeline.
His study in Atmospheric sciences is interdisciplinary in nature, drawing from both Lidar, Canopy, Climate change and Amazon rainforest.
His Eddy covariance study incorporates themes from Remote sensing, Biosphere, Data collection and Earth system science.
His Ecology study combines topics in areas such as Genome and Metagenomics.
His Ecosystem research incorporates elements of Biomass, Biogeochemical cycle, Substrate, Global warming and Methane.
In his research, Scott R. Saleska performs multidisciplinary study on Pipeline and Marine engineering.
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