What is he best known for?
The fields of study he is best known for:
- Ecology
- Botany
- Biodiversity
His primary scientific interests are in Ecology, Woodland, Genetic diversity, Grassland and Vegetation.
Grégory Mahy regularly links together related areas like Biological dispersal in his Ecology studies.
His research investigates the connection between Woodland and topics such as Biome that intersect with issues in Afforestation, Tree planting and Ecosystem services.
His Genetic diversity research includes elements of Genetics and Genetic variation.
His Grassland research incorporates themes from Ecosystem management and Ecosystem.
He has included themes like Deforestation and Ecological succession in his Ecosystem study.
His most cited work include:
- Toward an old‐growth concept for grasslands, savannas, and woodlands (209 citations)
- Where Tree Planting and Forest Expansion are Bad for Biodiversity and Ecosystem Services (156 citations)
- Copper and cobalt accumulation in plants: a critical assessment of the current state of knowledge (104 citations)
What are the main themes of his work throughout his whole career to date?
Grégory Mahy mainly focuses on Ecology, Biodiversity, Botany, Forestry and Invasive species.
His Ecology study focuses mostly on Habitat, Vegetation, Restoration ecology, Metallophyte and Ecosystem.
Grégory Mahy studies Vegetation, namely Plant community.
His work focuses on many connections between Biodiversity and other disciplines, such as Species richness, that overlap with his field of interest in Generalist and specialist species.
His Botany study frequently draws connections between related disciplines such as Genetic variation.
The study of Invasive species is intertwined with the study of Introduced species in a number of ways.
He most often published in these fields:
- Ecology (39.07%)
- Biodiversity (15.16%)
- Botany (14.87%)
What were the highlights of his more recent work (between 2017-2021)?
- Biodiversity (15.16%)
- Ecology (39.07%)
- Agronomy (6.71%)
In recent papers he was focusing on the following fields of study:
Biodiversity, Ecology, Agronomy, Vegetation and Forestry are his primary areas of study.
Grégory Mahy has researched Biodiversity in several fields, including Agroforestry, Environmental protection, Environmental resource management, Species richness and Grassland.
Grégory Mahy combines Ecology and Toxicity in his research.
His Agronomy research incorporates elements of Nutrient, Threatened species and Arable land.
As a member of one scientific family, Grégory Mahy mostly works in the field of Vegetation, focusing on Ecosystem and, on occasion, Global change and Herbarium.
His biological study spans a wide range of topics, including Tree, Relative species abundance, Canopy, Senecio inaequidens and Soil properties.
Between 2017 and 2021, his most popular works were:
- Comment on “The global tree restoration potential” (63 citations)
- Resilience and restoration of tropical and subtropical grasslands, savannas, and grassy woodlands. (62 citations)
- Plants sustain the terrestrial silicon cycle during ecosystem retrogression. (7 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Biodiversity
- Botany
The scientist’s investigation covers issues in Ecology, Biodiversity, Vegetation, Forestry and Grassland.
His study in Interspecific competition, Niche, Taxon, Soil water and Ecological niche is done as part of Ecology.
The various areas that Grégory Mahy examines in his Biodiversity study include Species richness, Generalist and specialist species, Pollination and Foraging.
His Vegetation research is multidisciplinary, incorporating elements of Growing season, Herbaceous plant, Competition, Endemism and Threatened species.
His work on Crop rotation as part of general Forestry study is frequently connected to Land area, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Grassland study incorporates themes from Fragmentation, Novel ecosystem, Metapopulation and Disturbance.
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