What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Biodiversity
His primary areas of study are Ecology, Gene flow, Biological dispersal, Genetics and Isolation by distance.
His research integrates issues of Habitat fragmentation, Statistic and Conservation genetics in his study of Gene flow.
His work deals with themes such as Identification, Range, American black bear and Resistance, which intersect with Habitat fragmentation.
Erin L. Landguth interconnects Mendelian inheritance, Mutation, Population genetics and Distance matrices in phylogeny in the investigation of issues within Biological dispersal.
His study in the fields of Genetic structure under the domain of Genetics overlaps with other disciplines such as Alternative hypothesis.
His Isolation by distance study integrates concerns from other disciplines, such as Univariate, Natural selection, Selection, Spatial heterogeneity and Local adaptation.
His most cited work include:
- Quantifying the lag time to detect barriers in landscape genetics (333 citations)
- Spurious correlations and inference in landscape genetics (223 citations)
- cdpop: A spatially explicit cost distance population genetics program. (163 citations)
What are the main themes of his work throughout his whole career to date?
Erin L. Landguth mainly investigates Ecology, Biological dispersal, Genetics, Gene flow and Habitat.
His Ecology study combines topics from a wide range of disciplines, such as Isolation by distance, Genetic structure and Population genetics.
His Biological dispersal research is multidisciplinary, incorporating elements of Biodiversity, Martes americana, Marten and Spatial heterogeneity.
His Genetics research incorporates themes from Natural selection, Sample size determination and Statistical power.
Erin L. Landguth combines subjects such as Evolutionary biology, Genetic model and Reproductive isolation with his study of Gene flow.
His biological study deals with issues like Fragmentation, which deal with fields such as Population size.
He most often published in these fields:
- Ecology (51.58%)
- Biological dispersal (35.79%)
- Genetics (20.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Evolutionary biology (12.63%)
- Selection (7.37%)
- Agroforestry (3.16%)
In recent papers he was focusing on the following fields of study:
Erin L. Landguth spends much of his time researching Evolutionary biology, Selection, Agroforestry, Climate change and Biological dispersal.
His biological study spans a wide range of topics, including Gene flow and Hybrid zone.
Erin L. Landguth studied Gene flow and Introgression that intersect with Species distribution.
The study incorporates disciplines such as Additive model, Genetics, Individual based and Multivariate statistics in addition to Selection.
His Climate change study is focused on Ecology in general.
His research investigates the connection between Biological dispersal and topics such as Vector that intersect with issues in Adaptation.
Between 2018 and 2021, his most popular works were:
- The delayed effect of wildfire season particulate matter on subsequent influenza season in a mountain west region of the USA. (15 citations)
- Tracing the footprints of a moving hybrid zone under a demographic history of speciation with gene flow (8 citations)
- Modelling multilocus selection in an individual-based, spatially-explicit landscape genetics framework (6 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Biodiversity
Selection, Evolutionary biology, Range, Multivariate statistics and Natural selection are his primary areas of study.
His Selection research is multidisciplinary, relying on both Interspecific competition, Salvelinus, Salvelinus confluentus, Sympatric speciation and Threatened species.
His research in Evolutionary biology intersects with topics in Range, Reproductive isolation, Introgression, Species distribution and Gene flow.
The concepts of his Range study are interwoven with issues in Additive model, Genetics and Individual based.
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