What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Biodiversity
His primary areas of study are Reef, Coral, Ecology, Coral reef and Oceanography.
His Reef research includes themes of Cnidaria and Abundance.
His research integrates issues of Statistics, Cross-validation, Categorical variable and Missing data in his study of Ecology.
His studies deal with areas such as Regression analysis, Linear discriminant analysis, Linear model and Linear regression as well as Categorical variable.
His work in the fields of Coral reef, such as Coralline algae, overlaps with other areas such as Settlement.
His work deals with themes such as Acanthaster and Crown-of-thorns starfish, which intersect with Resilience of coral reefs.
His most cited work include:
- CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS (2442 citations)
- The 27–year decline of coral cover on the Great Barrier Reef and its causes (1049 citations)
- MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS (958 citations)
What are the main themes of his work throughout his whole career to date?
Glenn De'ath focuses on Ecology, Reef, Coral reef, Oceanography and Coral.
His study in the field of Habitat, Zooplankton and Community structure is also linked to topics like Gradient analysis.
Glenn De'ath has included themes like Water quality, Biodiversity, Species richness and Environmental resource management in his Reef study.
His work is dedicated to discovering how Coral reef, Ocean acidification are connected with Carbon dioxide in Earth's atmosphere and other disciplines.
His Fringing reef, Porites and Tropical cyclone study, which is part of a larger body of work in Oceanography, is frequently linked to Monitoring program, bridging the gap between disciplines.
His study explores the link between Coral and topics such as Climate change that cross with problems in Sea surface temperature and Spatial ecology.
He most often published in these fields:
- Ecology (51.16%)
- Reef (48.84%)
- Coral reef (45.35%)
What were the highlights of his more recent work (between 2013-2020)?
- Coral reef (45.35%)
- Ecology (51.16%)
- Ocean acidification (10.47%)
In recent papers he was focusing on the following fields of study:
Glenn De'ath mainly investigates Coral reef, Ecology, Ocean acidification, Reef and Coral.
Glenn De'ath does research in Coral reef, focusing on Resilience of coral reefs specifically.
His Ecology research is multidisciplinary, incorporating elements of Interpretability, Statistical model, Artificial intelligence and Multivariate statistics.
His Ocean acidification study introduces a deeper knowledge of Oceanography.
His study looks at the intersection of Reef and topics like Benthic zone with Habitat, Anthozoa, Invertebrate, Remote sensing and Environmental monitoring.
Many of his studies on Coral apply to Colonization as well.
Between 2013 and 2020, his most popular works were:
- Ecological effects of ocean acidification and habitat complexity on reef-associated macroinvertebrate communities (145 citations)
- Model-based thinking for community ecology (95 citations)
- In situ changes of tropical crustose coralline algae along carbon dioxide gradients. (69 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Biodiversity
His primary areas of investigation include Ecology, Ocean acidification, Benthic zone, Reef and Coral reef.
His Ecology study typically links adjacent topics like Machine learning.
When carried out as part of a general Machine learning research project, his work on Statistical model, Multivariate statistics and Interpretability is frequently linked to work in Model checking, therefore connecting diverse disciplines of study.
His Carbon dioxide research includes elements of Coralline algae and Crustose.
His Habitat research incorporates themes from Invertebrate and Anthozoa, Coral.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Multivariate analysis and Mathematical model.
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