Skip to main content
USGS - science for a changing world

Yan, Chuan

thumbnail
The classic 10-year population cycle of snowshoe hares ( Lepus americanus, Erxleben 1777) and Canada lynx ( Lynx canadensis, Kerr 1792) in the boreal forests of North America has drawn much attention from both population and community ecologists worldwide; however, the ecological mechanisms driving the 10-year cyclic dynamic pattern are not fully revealed yet. In this study, by the use of historic fur harvest data, we constructed a series of generalized additive models to study the effects of density dependence, predation, and climate (both global climate indices of North Atlantic Oscillation index ( NAO), Southern Oscillation index ( SOI) and northern hemispheric temperature ( NHT) and local weather data including...
The classic 10-year population cycle of snowshoe hares ( Lepus americanus, Erxleben 1777) and Canada lynx ( Lynx canadensis, Kerr 1792) in the boreal forests of North America has drawn much attention from both population and community ecologists worldwide; however, the ecological mechanisms driving the 10-year cyclic dynamic pattern are not fully revealed yet. In this study, by the use of historic fur harvest data, we constructed a series of generalized additive models to study the effects of density dependence, predation, and climate (both global climate indices of North Atlantic Oscillation index ( NAO), Southern Oscillation index ( SOI) and northern hemispheric temperature ( NHT) and local weather data including...
The classic 10-year population cycle of snowshoe hares ( Lepus americanus, Erxleben 1777) and Canada lynx ( Lynx canadensis, Kerr 1792) in the boreal forests of North America has drawn much attention from both population and community ecologists worldwide; however, the ecological mechanisms driving the 10-year cyclic dynamic pattern are not fully revealed yet. In this study, by the use of historic fur harvest data, we constructed a series of generalized additive models to study the effects of density dependence, predation, and climate (both global climate indices of North Atlantic Oscillation index ( NAO), Southern Oscillation index ( SOI) and northern hemispheric temperature ( NHT) and local weather data including...
The classic 10-year population cycle of snowshoe hares ( Lepus americanus, Erxleben 1777) and Canada lynx ( Lynx canadensis, Kerr 1792) in the boreal forests of North America has drawn much attention from both population and community ecologists worldwide; however, the ecological mechanisms driving the 10-year cyclic dynamic pattern are not fully revealed yet. In this study, by the use of historic fur harvest data, we constructed a series of generalized additive models to study the effects of density dependence, predation, and climate (both global climate indices of North Atlantic Oscillation index ( NAO), Southern Oscillation index ( SOI) and northern hemispheric temperature ( NHT) and local weather data including...
Categories: Publication; Types: Citation; Tags: M1-Mammals
The classic 10-year population cycle of snowshoe hares ( Lepus americanus, Erxleben 1777) and Canada lynx ( Lynx canadensis, Kerr 1792) in the boreal forests of North America has drawn much attention from both population and community ecologists worldwide; however, the ecological mechanisms driving the 10-year cyclic dynamic pattern are not fully revealed yet. In this study, by the use of historic fur harvest data, we constructed a series of generalized additive models to study the effects of density dependence, predation, and climate (both global climate indices of North Atlantic Oscillation index ( NAO), Southern Oscillation index ( SOI) and northern hemispheric temperature ( NHT) and local weather data including...
Categories: Publication; Types: Citation; Tags: M1-Mammals
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.