What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Ecology, Biological dispersal, Zooplankton, Daphnia and Daphnia magna.
Ecology is closely attributed to Metacommunity in his work.
His research integrates issues of Range, Colonization, Urbanization, Isolation by distance and Species richness in his study of Biological dispersal.
His Zooplankton research integrates issues from Macrophyte and Diel vertical migration.
The Daphnia study combines topics in areas such as Antagonistic Coevolution, Critical thermal maximum, Freshwater ecosystem, Host–parasite coevolution and Phenotypic plasticity.
His research in Daphnia magna intersects with topics in Urban heat island, Microparasite, Predation, Ecotoxicology and Pesticide.
His most cited work include:
- The Monopolization Hypothesis and the dispersal–gene flow paradox in aquatic organisms (610 citations)
- The broad footprint of climate change from genes to biomes to people (472 citations)
- Warmer climates boost cyanobacterial dominance in shallow lakes (467 citations)
What are the main themes of his work throughout his whole career to date?
Luc De Meester focuses on Ecology, Daphnia, Daphnia magna, Zooplankton and Biological dispersal.
In his research, Ecology is intimately related to Metacommunity, which falls under the overarching field of Ecology.
His research in Daphnia tackles topics such as Genetic variation which are related to areas like Genetic diversity.
His Daphnia magna research includes elements of Adaptation, Genetics and Carbaryl, Pesticide.
Luc De Meester works mostly in the field of Zooplankton, limiting it down to concerns involving Phytoplankton and, occasionally, Biomass and Eutrophication.
His Biological dispersal research is multidisciplinary, incorporating perspectives in Community and Habitat.
He most often published in these fields:
- Ecology (75.38%)
- Daphnia (33.42%)
- Daphnia magna (24.62%)
What were the highlights of his more recent work (between 2015-2021)?
- Ecology (75.38%)
- Daphnia (33.42%)
- Biodiversity (11.81%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Ecology, Daphnia, Biodiversity, Daphnia magna and Biological dispersal.
Luc De Meester combines subjects such as Metacommunity and Species sorting with his study of Ecology.
His work deals with themes such as Evolutionary biology, Genetics, Environmental change and Colonization, which intersect with Daphnia.
Luc De Meester has included themes like Zooplankton, Environmental planning, Phylogenetics, Species richness and Niche differentiation in his Biodiversity study.
His Zooplankton study combines topics in areas such as Biomass and Trophic level, Food web.
His Daphnia magna research includes themes of Natural population growth, Predation, Global warming, Environmental chemistry and Phenotypic plasticity.
Between 2015 and 2021, his most popular works were:
- The broad footprint of climate change from genes to biomes to people (472 citations)
- Evolving Perspectives on Monopolization and Priority Effects (119 citations)
- Frequency of antibiotic application drives rapid evolutionary adaptation of Escherichia coli persistence (113 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Ecology, Biodiversity, Urbanization, Metacommunity and Biological dispersal.
He interconnects Daphnia magna and Species sorting in the investigation of issues within Ecology.
Luc De Meester has researched Biodiversity in several fields, including Zooplankton, Species richness, Phylogenetics, Species diversity and Spatial ecology.
His Urbanization research is multidisciplinary, relying on both Urban heat island and Habitat.
The concepts of his Metacommunity study are interwoven with issues in Nestedness and Landscape connectivity.
His studies examine the connections between Biological dispersal and genetics, as well as such issues in Fragmentation, with regards to β diversity, Ecological network, Urban ecosystem and Habitat fragmentation.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
