What is he best known for?
The fields of study he is best known for:
David Paetkau mainly investigates Ecology, Evolutionary biology, Genetic distance, Microsatellite and Genetic variation.
His Ecology research is multidisciplinary, relying on both Genetic marker, Gene flow and Population genetics.
His research integrates issues of Population density, Effective population size, Genotype frequency, Allele frequency and Conservation genetics in his study of Population genetics.
The various areas that he examines in his Evolutionary biology study include American black bear, Mark and recapture, Genetic variability, Mitochondrial DNA and Genotyping.
His research investigates the connection between Genetic distance and topics such as Pleistocene that intersect with issues in Genetic diversity.
He combines topics linked to Ursus with his work on Microsatellite.
His most cited work include:
- GENECLASS2: A Software for Genetic Assignment and First-Generation Migrant Detection (2066 citations)
- Microsatellite analysis of population structure in Canadian polar bears (1730 citations)
- Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power (1271 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Ecology, Ursus, Microsatellite, Grizzly Bears and Mark and recapture.
His research in Ecology intersects with topics in Gene flow, Effective population size, Genetic variation, Genetic structure and Population size.
His study looks at the intersection of Genetic variation and topics like Genetic marker with Genetic distance.
In the subject of general Ursus, his work in American black bear is often linked to Carnivore, thereby combining diverse domains of study.
His Microsatellite research includes elements of Zoology, Genetic variability, Genotyping and Evolutionary biology.
The Mark and recapture study combines topics in areas such as Sampling, Abundance and Sample size determination.
He most often published in these fields:
- Ecology (55.00%)
- Ursus (26.67%)
- Microsatellite (25.00%)
What were the highlights of his more recent work (between 2012-2021)?
- Ecology (55.00%)
- Ursus (26.67%)
- Genetic structure (15.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Ecology, Ursus, Genetic structure, Abundance and Mark and recapture.
His Ecology study frequently intersects with other fields, such as Effective population size.
In his work, Gene flow is strongly intertwined with Martes americana, which is a subfield of Effective population size.
His Ursus course of study focuses on Physical geography and Genetic drift and Tundra.
His Mark and recapture study frequently links to adjacent areas such as Sampling.
His Grizzly Bears study integrates concerns from other disciplines, such as Population density and Population size.
Between 2012 and 2021, his most popular works were:
- Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears. (51 citations)
- Density, distribution, and genetic structure of grizzly bears in the Cabinet‐Yaak Ecosystem (45 citations)
- Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic. (39 citations)
In his most recent research, the most cited papers focused on:
David Paetkau mostly deals with Ecology, Ursus, Genetic structure, Conservation status and Abundance.
David Paetkau studies Ecology, focusing on Threatened species in particular.
His study in Gobi bear is interdisciplinary in nature, drawing from both Range, Protected area and Mark and recapture.
His Conservation genetics study combines topics in areas such as Circumpolar star, Archipelago and Ursus maritimus, Arctic.
David Paetkau interconnects Effective population size and Population size in the investigation of issues within Genetic monitoring.
His research on Grizzly Bears often connects related topics like Population density.
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