What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Climate change
Miguel D. Mahecha spends much of his time researching Ecology, Ecosystem, Climatology, Eddy covariance and Climate change.
His work is connected to Plant functional type and Vegetation, as a part of Ecology.
Miguel D. Mahecha works mostly in the field of Ecosystem, limiting it down to concerns involving Biogeochemistry and, occasionally, Water cycle, Environmental protection and Ecosystem carbon.
In his study, FluxNet and Ecosystem respiration is strongly linked to Spatial variability, which falls under the umbrella field of Eddy covariance.
His research in Climate change intersects with topics in Ecosystem model, Carbon cycle and Biosphere.
His Carbon cycle study integrates concerns from other disciplines, such as Climate extremes and Terrestrial ecosystem.
His most cited work include:
- TRY - a global database of plant traits (1611 citations)
- The global spectrum of plant form and function (972 citations)
- Climate extremes and the carbon cycle (804 citations)
What are the main themes of his work throughout his whole career to date?
Miguel D. Mahecha spends much of his time researching Ecosystem, Atmospheric sciences, Climatology, Ecology and Biosphere.
His research on Ecosystem often connects related areas such as Vegetation.
His work carried out in the field of Atmospheric sciences brings together such families of science as Atmosphere, Meteorology and Canopy.
The study incorporates disciplines such as Extreme events, Biogeochemical cycle and Global change in addition to Climatology.
His study in the field of Plant functional type is also linked to topics like Trait.
The Biosphere study which covers Climate change that intersects with Precipitation.
He most often published in these fields:
- Ecosystem (27.13%)
- Atmospheric sciences (24.47%)
- Climatology (21.28%)
What were the highlights of his more recent work (between 2019-2021)?
- Biosphere (20.74%)
- Atmospheric sciences (24.47%)
- Ecosystem (27.13%)
In recent papers he was focusing on the following fields of study:
Biosphere, Atmospheric sciences, Ecosystem, Climate change and Terrestrial ecosystem are his primary areas of study.
His Biosphere study combines topics from a wide range of disciplines, such as Climatology, Atmospheric circulation, Heteroscedasticity, Data stream mining and Normalized Difference Vegetation Index.
His research integrates issues of Plant ecology, Field, Vegetation and Biogeography in his study of Ecosystem.
Miguel D. Mahecha has researched Climate change in several fields, including Interpretability, Eddy covariance, FluxNet and Field.
Within one scientific family, Miguel D. Mahecha focuses on topics pertaining to Regression under Eddy covariance, and may sometimes address concerns connected to Primary production.
His Terrestrial ecosystem research is multidisciplinary, relying on both Temperate climate and Water cycle.
Between 2019 and 2021, his most popular works were:
- A typology of compound weather and climate events (54 citations)
- A typology of compound weather and climate events (54 citations)
- Earth system data cubes unravel global multivariate dynamics (14 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Climate change
The scientist’s investigation covers issues in Biosphere, Climatology, Data stream mining, Structuring and Event.
Miguel D. Mahecha interconnects Shrubland, Empirical research, Terrestrial ecosystem and Vegetation type in the investigation of issues within Biosphere.
His Atmospheric circulation study in the realm of Climatology interacts with subjects such as Cryosphere.
His Data stream mining research is multidisciplinary, incorporating elements of Data science, Data cube, Workflow and Global change.
His Structuring studies intersect with other disciplines such as Multivariate statistics, Environmental resource management, Lead, Hazard and Typology.
There are a combination of areas like Weather and climate, Adaptation strategies and Environmental risk integrated together with his Event study.
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