What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Biodiversity
His scientific interests lie mostly in Ecology, Ecosystem, Specific leaf area, Functional ecology and Agronomy.
Vegetation, Intraspecific competition, Plant ecology, Plant community and Limiting similarity are the core of his Ecology study.
His Vegetation research includes elements of Niche differentiation, Resource, Disturbance and Scale.
His research on Limiting similarity also deals with topics like
- Novel ecosystem together with Restoration ecology,
- Assembly rules, which have a strong connection to Competition.
His research investigates the link between Functional ecology and topics such as Ecology that cross with problems in Environmental change and Evolutionary biology.
While the research belongs to areas of Range, Daniel C. Laughlin spends his time largely on the problem of Species richness, intersecting his research to questions surrounding Plant functional type, Old-growth forest, Fire ecology and Plant cover.
His most cited work include:
- TRY - a global database of plant traits (1611 citations)
- Plant functional traits have globally consistent effects on competition (372 citations)
- Revisiting the Holy Grail: using plant functional traits to understand ecological processes (237 citations)
What are the main themes of his work throughout his whole career to date?
Daniel C. Laughlin mostly deals with Ecology, Species richness, Ecosystem, Plant community and Restoration ecology.
His work blends Ecology and Specific leaf area studies together.
Daniel C. Laughlin works mostly in the field of Species richness, limiting it down to topics relating to Biodiversity and, in certain cases, Ecosystem services.
Daniel C. Laughlin has included themes like Soil water, Community structure, Predictability and Abiotic component in his Ecosystem study.
His Plant community research integrates issues from Niche differentiation and Disturbance.
His Vegetation research is multidisciplinary, incorporating elements of Range, Forestry and Scale.
He most often published in these fields:
- Ecology (67.44%)
- Species richness (25.58%)
- Ecosystem (24.03%)
What were the highlights of his more recent work (between 2017-2021)?
- Ecology (67.44%)
- Ecosystem (24.03%)
- Species richness (25.58%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Ecology, Ecosystem, Species richness, Biodiversity and Specific leaf area.
His Ecology study frequently draws connections to other fields, such as Scale.
His study explores the link between Scale and topics such as Niche differentiation that cross with problems in Resource and Vegetation.
His Ecosystem study combines topics from a wide range of disciplines, such as Trophic level, Plant community, Community structure and Decomposition.
His biological study spans a wide range of topics, including Limiting similarity and Abiotic component.
His Biodiversity research incorporates elements of Ecosystem services, Identification, Functional ecology, Cropping system and Agroecology.
Between 2017 and 2021, his most popular works were:
- TRY plant trait database : Enhanced coverage and open access (179 citations)
- Global trait–environment relationships of plant communities (143 citations)
- Global trait–environment relationships of plant communities (143 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Biodiversity
The scientist’s investigation covers issues in Ecology, Ecosystem, Resource, Vegetation and Biodiversity.
Daniel C. Laughlin combines Ecology and Vital rates in his studies.
His Resource research is multidisciplinary, incorporating perspectives in Niche differentiation, Plant community, Scale and Disturbance.
His Vegetation research is multidisciplinary, relying on both Elevation, Leaf size and Deciduous.
He interconnects Ecosystem services, Biotic component, Abiotic component, Food web and Community structure in the investigation of issues within Biodiversity.
His Species richness research includes elements of Intraspecific competition, Occupancy, Coexistence theory, Limiting similarity and Null model.
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