What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Climate change
His main research concerns Eddy covariance, Ecosystem, Growing season, Climatology and Biosphere.
His Eddy covariance study integrates concerns from other disciplines, such as Carbon cycle and Plant functional type.
His study on Terrestrial ecosystem and Ecosystem respiration is often connected to Carbon sequestration as part of broader study in Ecosystem.
His biological study spans a wide range of topics, including Productivity, Deciduous, Tree canopy, Grassland and Understory.
His work is dedicated to discovering how Growing season, Water content are connected with Soil water, Agronomy, Forest management and Canopy and other disciplines.
His work carried out in the field of Biosphere brings together such families of science as Seasonality, Leaf area index and Biome.
His most cited work include:
- TRY - a global database of plant traits (1611 citations)
- Inter-annual variability in carbon dioxide exchange of an oak/grass savanna and open grassland in California (305 citations)
- A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis (233 citations)
What are the main themes of his work throughout his whole career to date?
Siyan Ma mainly focuses on Eddy covariance, Ecosystem, Ecology, Atmospheric sciences and Water content.
His research integrates issues of Remote sensing, Biosphere, Leaf area index and Growing season in his study of Eddy covariance.
His Leaf area index research is multidisciplinary, incorporating elements of Vegetation and Deciduous.
His work deals with themes such as Range and Species richness, which intersect with Vegetation.
His Ecosystem research is multidisciplinary, relying on both Productivity, Abiotic component and Seasonality.
In his research, Siyan Ma undertakes multidisciplinary study on Ecology and Biological dispersal.
He most often published in these fields:
- Eddy covariance (44.90%)
- Ecosystem (32.65%)
- Ecology (30.61%)
What were the highlights of his more recent work (between 2018-2021)?
- Eddy covariance (44.90%)
- Pipeline (4.08%)
- Leaf area index (14.29%)
In recent papers he was focusing on the following fields of study:
Eddy covariance, Pipeline, Leaf area index, Evapotranspiration and Remote sensing are his primary areas of study.
In most of his Eddy covariance studies, his work intersects topics such as Biosphere.
Siyan Ma combines subjects such as Remote sensing and Canopy photosynthesis with his study of Leaf area index.
His Evapotranspiration study combines topics in areas such as Water use, Water balance, Vapour Pressure Deficit and Growing season.
His Earth system science research extends to Remote sensing, which is thematically connected.
Ecosystem, Ecohydrology, Canopy, Tree canopy and Grassland are fields of study that overlap with his Atmospheric sciences research.
Between 2018 and 2021, his most popular works were:
- TRY plant trait database : Enhanced coverage and open access (179 citations)
- The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (67 citations)
- Outgoing Near‐Infrared Radiation From Vegetation Scales With Canopy Photosynthesis Across a Spectrum of Function, Structure, Physiological Capacity, and Weather (11 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Climate change
His primary scientific interests are in Eddy covariance, Remote sensing, Representativeness heuristic, Function and Leaf area index.
His Eddy covariance study frequently involves adjacent topics like Earth system science.
He frequently studies issues relating to Biosphere and Remote sensing.
He incorporates a variety of subjects into his writings, including Representativeness heuristic, Ecosystem model, Trait, Data integration, Functional ecology and Identification.
In his articles, he combines various disciplines, including Ecosystem model and Database.
Function overlaps with fields such as Remote sensing, Near infrared radiation, Vegetation, Canopy photosynthesis and Spectrum in his research.
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