His main research concerns Ecology, Population viability analysis, Extinction, Econometrics and Home range. His work on Habitat and Wildlife as part of his general Ecology study is frequently connected to Demography and Stochastic matrix, thereby bridging the divide between different branches of science. His Habitat study integrates concerns from other disciplines, such as National park and Natural resource.
His research integrates issues of Terrain, Environmental resource management and Population abundance in his study of Wildlife. His work in Home range covers topics such as Ecological systems theory which are related to areas like Sampling and Kernel density estimation. His study in Covariate is interdisciplinary in nature, drawing from both Poisson distribution, Count data and Vital rates.
His primary scientific interests are in Ecology, Statistics, Habitat, Wildlife and Selection. His research on Ecology often connects related topics like Population density. His Statistics research incorporates elements of Econometrics and Abundance estimation.
John R Fieberg is involved in the study of Habitat that focuses on Home range in particular. John R Fieberg has included themes like Abundance, Aerial survey and Environmental resource management in his Wildlife study. His Selection research integrates issues from Data mining and Species distribution.
John R Fieberg mainly focuses on Ecology, Habitat, Code, Selection and Wildlife. His research on Ecology frequently links to adjacent areas such as Population growth. His work deals with themes such as Occupancy and Tiger, which intersect with Habitat.
His study looks at the relationship between Code and fields such as Interpretation, as well as how they intersect with chemical problems. His research investigates the connection with Selection and areas like Variation which intersect with concerns in Frequentist inference. The various areas that John R Fieberg examines in his Wildlife study include Ecology, Field, Statistical model and Taxonomy.
Habitat, Home range, Inference, Covariate and Artificial intelligence are his primary areas of study. His Habitat research includes elements of Niche, Representation, Individual mobility and Environmental resource management. His Home range study frequently links to related topics such as Estimator.
The study incorporates disciplines such as Probability distribution, Data mining, Data management and Selection in addition to Inference. His Covariate study is related to the wider topic of Statistics. His research in Artificial intelligence focuses on subjects like Machine learning, which are connected to Statistical inference, Parametric statistics and Sampling distribution.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
QUANTIFYING HOME-RANGE OVERLAP: THE IMPORTANCE OF THE UTILIZATION DISTRIBUTION
.
Journal of Wildlife Management (2005)
The home-range concept: are traditional estimators still relevant with modern telemetry technology?
.
Philosophical Transactions of the Royal Society B (2010)
Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data.
.
Philosophical Transactions of the Royal Society B (2010)
Correlation and studies of habitat selection: problem, red herring or opportunity?
.
Philosophical Transactions of the Royal Society B (2010)
Kernel density estimators of home range: smoothing and the autocorrelation red herring.
.
Ecology (2007)
When is it meaningful to estimate an extinction probability
.
Ecology (2000)
Stochastic matrix models for conservation and management: A comparative review of methods
.
Ecology Letters (2001)
Comparative interpretation of count, presence-absence and point methods for species distribution models
.
Methods in Ecology and Evolution (2012)
Precision of Population Viability Analysis
.
Conservation Biology (2002)
Bears Show a Physiological but Limited Behavioral Response to Unmanned Aerial Vehicles
.
Current Biology (2015)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Glasgow
Minnesota Department of Natural Resources
University of Minnesota
United States Geological Survey
United States Geological Survey
Cornell University
University of Montana
United States Geological Survey
University of North Carolina at Chapel Hill
University of California, Santa Barbara
Yahoo! Research
Heriot-Watt University
Doshisha University
École Polytechnique Fédérale de Lausanne
Zhejiang University
Harvard Medical School
University of Eastern Finland
RWTH Aachen University
Washington University in St. Louis
Seattle Children's Hospital
Wake Forest University
McGill University
University of Manchester
University of Virginia
Case Western Reserve University
Southern Illinois University School of Medicine