What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Ecosystem
Björn Reineking spends much of his time researching Ecology, Ecosystem, Statistics, Ecology and Biodiversity.
His Ecology study incorporates themes from Sampling and Statistical model.
His research integrates issues of Sliced inverse regression, Latent variable, Linear regression, Collinearity and Estimating equations in his study of Statistical model.
His Sample size determination, Logistic regression and Regression study, which is part of a larger body of work in Statistics, is frequently linked to Overconfidence effect, bridging the gap between disciplines.
He has included themes like Nutrient cycle, Anthropocene and Terrestrial ecosystem in his Ecology study.
In Biodiversity, he works on issues like Ecosystem services, which are connected to Introduced species, Species richness, Global biodiversity and Agriculture.
His most cited work include:
- Collinearity: a review of methods to deal with it and a simulation study evaluating their performance (3544 citations)
- Methods to account for spatial autocorrelation in the analysis of species distributional data : a review (2181 citations)
- Alien species in a warmer world: risks and opportunities (866 citations)
What are the main themes of his work throughout his whole career to date?
Ecology, Habitat, Climate change, Environmental resource management and Land use are his primary areas of study.
His Ecology study frequently links to related topics such as Biological dispersal.
His Habitat research integrates issues from Selection and Capreolus.
His research in Climate change intersects with topics in Competition, Physical geography and Vegetation.
His Environmental resource management course of study focuses on Agriculture and Pest control, Agroforestry and Environmental data.
His study looks at the relationship between Species distribution and fields such as Statistics, as well as how they intersect with chemical problems.
He most often published in these fields:
- Ecology (89.58%)
- Habitat (25.00%)
- Climate change (13.54%)
What were the highlights of his more recent work (between 2017-2020)?
- Ecology (89.58%)
- Environmental resource management (14.58%)
- Land cover (16.67%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Ecology, Environmental resource management, Land cover, Land use and Lidar.
In his articles, Björn Reineking combines various disciplines, including Ecology and Trait.
His Environmental resource management research incorporates elements of Individual based and Alien species.
The concepts of his Land cover study are interwoven with issues in Agriculture, Land use, land-use change and forestry, Environmental data, Resampling and Random forest.
The Land use study combines topics in areas such as Drainage basin, Hydrology, Water quality, Erosion and Paddy field.
His studies in Habitat integrate themes in fields like Sampling, Sampling bias, Estimation theory and Sex ratio.
Between 2017 and 2020, his most popular works were:
- Moving in the Anthropocene : global reductions in terrestrial mammalian movements (350 citations)
- Moving in the Anthropocene : global reductions in terrestrial mammalian movements (350 citations)
- Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference (72 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Ecosystem
His primary scientific interests are in Ecology, Footprint, Ecology, Ecosystem and Nutrient cycle.
His study connects Bayesian probability and Ecology.
His Bayesian probability research incorporates themes from Uncertainty quantification, Covariance and Model selection.
Björn Reineking integrates many fields in his works, including Footprint, Trait, Anthropocene and Terrestrial ecosystem.
His Variance research includes a combination of various areas of study, such as Cross-validation and Context.
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