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
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.
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.
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.
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.
TRY - a global database of plant traits
J. Kattge;S. Díaz;S. Lavorel;I. C. Prentice.
web science (2011)
Plant functional traits have globally consistent effects on competition
Georges Kunstler;Georges Kunstler;Daniel Falster;David A. Coomes;Francis Hui.
TRY plant trait database : Enhanced coverage and open access
Jens Kattge;Gerhard Bönisch;Sandra Díaz;Sandra Lavorel.
Global Change Biology (2020)
Revisiting the Holy Grail: using plant functional traits to understand ecological processes
Biological Reviews (2017)
Applying trait-based models to achieve functional targets for theory-driven ecological restoration.
Ecology Letters (2014)
Reinforcing loose foundation stones in trait-based plant ecology.
Bill Shipley;Francesco De Bello;Francesco De Bello;J. Hans C. Cornelissen;Etienne Laliberté.
The intrinsic dimensionality of plant traits and its relevance to community assembly
Journal of Ecology (2014)
Root traits are multidimensional: specific root length is independent from root tissue density and the plant economic spectrum
Journal of Ecology (2016)
Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area
Sarah Greenwood;Paloma Ruiz-Benito;Paloma Ruiz-Benito;Jordi Martínez-Vilalta;Francisco Lloret.
Ecology Letters (2017)
Global trait–environment relationships of plant communities
Helge Bruelheide;Jürgen Dengler;Jürgen Dengler;Oliver Purschke;Jonathan Lenoir.
Nature Ecology and Evolution (2018)
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