wa_wolf: Population Dynamics of Wolves in Washington State, U.S.A.
In tessington/quantecol: Introduction to Quantitative Ecology
wa_wolf R Documentation
Population Dynamics of Wolves in Washington State, U.S.A.
Description
Annual estimated abundance of Gray Wolves (Canus lupis) in Washington State, U.S.A. Numbers are the "minimum estimates"
based on direct observations from ground and from air, track surveys, and camera trap surveys. Some wolves
may be present but are not detected.
Usage
wa_wolf
Format
A data frame with 12 observations, each representing a year
- Year
Calendar year.
- Abundance
Minimum number of wolves at year's end.
Source
Washington Department of Fish and Wildlife, Confederated Tribes of the Colville Reservation,
Spokane Tribe of Indians, USDA-APHIS Wildlife Services, and U.S. Fish and Wildlife Service. 2021.
Washington Gray Wolf Conservation and Management 2020 Annual Report.
Washington Department of Fish and Wildlife, Ellensburg, WA, USA
tessington/quantecol documentation built on June 1, 2025, 9:06 p.m.
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| wa_wolf | R Documentation |
Population Dynamics of Wolves in Washington State, U.S.A.
Description
Annual estimated abundance of Gray Wolves (Canus lupis) in Washington State, U.S.A. Numbers are the "minimum estimates" based on direct observations from ground and from air, track surveys, and camera trap surveys. Some wolves may be present but are not detected.
Usage
wa_wolf
Format
A data frame with 12 observations, each representing a year
- Year
Calendar year.
- Abundance
Minimum number of wolves at year's end.
Source
Washington Department of Fish and Wildlife, Confederated Tribes of the Colville Reservation, Spokane Tribe of Indians, USDA-APHIS Wildlife Services, and U.S. Fish and Wildlife Service. 2021. Washington Gray Wolf Conservation and Management 2020 Annual Report. Washington Department of Fish and Wildlife, Ellensburg, WA, USA
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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