His primary areas of study are Ecology, Pollination, Statistical physics, Predation and Pollinator. His Ecology research is multidisciplinary, incorporating elements of Biological dispersal, Environmental resource management and Population model. The various areas that he examines in his Pollination study include Inbreeding depression, Mating system, Outcrossing, Selfing and Ecological dynamics.
His work deals with themes such as Individual based, Calculus and Heterogeneous population, which intersect with Statistical physics. His Predator study in the realm of Predation connects with subjects such as Dynamics. In the field of Pollinator, his study on Hand-pollination and Pollen source overlaps with subjects such as Conceptual model.
The scientist’s investigation covers issues in Ecology, Biological dispersal, Statistical physics, Pollination and Predation. His Ecology study frequently links to adjacent areas such as Population model. The study incorporates disciplines such as Population density and Contrast in addition to Population model.
The Biological dispersal study combines topics in areas such as Spatial ecology, Host and Competition. He interconnects Individual based and Lattice in the investigation of issues within Statistical physics. His Pollination research includes themes of Obligate, Outcrossing, Mutualism and Mating system.
His primary areas of investigation include Ecology, Ecosystem engineer, Environmental resource management, Ecosystem and Econometrics. His Ecology research incorporates elements of Biological dispersal and Allee effect. His Ecosystem engineer study combines topics from a wide range of disciplines, such as Community dynamics and Abiotic component.
His studies deal with areas such as Applied ecology, Habitat, Biological integrity and Ecosystem services as well as Environmental resource management. The Ecosystem study combines topics in areas such as Natural selection and Restoration ecology. His studies in Econometrics integrate themes in fields like Individual based and Logistic regression.
William G. Wilson mainly focuses on Ecosystem engineer, Ecology, Environmental resource management, Applied ecology and Ecosystem services. His Ecosystem engineer research is multidisciplinary, relying on both Allee effect and Abiotic component. William G. Wilson integrates many fields in his works, including Ecology and Darwin.
His Environmental resource management research incorporates themes from Urban planning, Urban ecosystem, Environmental planning, Ecology and Urban ecology. His studies deal with areas such as Urban density and Restoration ecology as well as Applied ecology.
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Pollen limitation of plant reproduction: Ecological and evolutionary causes and consequences
Tia-Lynn Ashman;Tiffany M Knight;Janette A Steets;Priyanga Amarasekare.
Ecosystem engineering in space and time.
Ecology Letters (2007)
Using ecosystem engineers to restore ecological systems
Trends in Ecology and Evolution (2006)
ROBUST DECISION‐MAKING UNDER SEVERE UNCERTAINTY FOR CONSERVATION MANAGEMENT
Ecological Applications (2005)
Mobility Versus Density-Limited Predator--Prey Dynamics on Different Spatial Scales
Proceedings of The Royal Society B: Biological Sciences (1991)
Dynamics of age-structured and spatially structured predator-prey interactions: individual-based models and population-level formulations.
The American Naturalist (1993)
Resolving Discrepancies between Deterministic Population Models and Individual‐Based Simulations
The American Naturalist (1998)
When can two plant species facilitate each other's pollination?
Ecological Dynamics of Mutualist/Antagonist Communities
The American Naturalist (2003)
Pattern Formation and the Spatial Scale of Interaction between Predators and Their Prey
Theoretical Population Biology (1998)
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