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.
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.
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.
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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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
Alien species in a warmer world: risks and opportunities
Trends in Ecology and Evolution (2009)
Moving in the Anthropocene : global reductions in terrestrial mammalian movements
Statistical inference for stochastic simulation models – theory and application
Ecology Letters (2011)
Road traffic and nearby grassland bird patterns in a suburbanizing landscape.
Environmental Management (2002)
Models for forest ecosystem management: a European perspective.
Hans Pretzsch;R. Grote;Björn Reineking;Thomas Rötzer.
Annals of Botany (2007)
The virtual ecologist approach: simulating data and observers
Natural enemy interactions constrain pest control in complex agricultural landscapes
Proceedings of the National Academy of Sciences of the United States of America (2013)
Integrating movement ecology with biodiversity research - exploring new avenues to address spatiotemporal biodiversity dynamics.
Movement ecology (2013)
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