Rangeland Ecology & Management

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Case Study: Long-Term Livestock Grazing Influence on Vegetation Class in Coyote Flat, California, USA
Author
Pearce, Rob
Lair, Ken
Frasier, Gary
Publisher
Society for Range Management
Publication Year
2014-08-01
Body

On the Ground • Parker Three-Step data that exist on many US Forest Service allotments may be the only remaining, truly long-term vegetation and soil data available. Although Parker Three-Step procedures have been abandoned on many Forest Service districts, the historical insight they provide may be worth revisiting for management purposes. • The Parker photos that accompany the transect data may be of more value than the data. • Long-term vegetation records in Coyote Flat reveal the range to remain generally in fair condition since at least 1931, despite large reductions in livestock numbers, drastically shortened season of use, and 7 years of rest out of the last 13 grazing seasons. • The correlation and interaction between reduced grazing pressure and ecological condition on high-elevation mountain meadow ecosystems, particularly as revealed by Parker Three-Step data, is not always intuitive or linear. The Rangelands archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform March 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2111/RANGELANDS-D-14-00003.1
Additional Information
Pearce, R., Lair, K., & Frasier, G. (2014). Case Study: Long-Term Livestock Grazing Influence on Vegetation Class in Coyote Flat, California, USA. Rangelands, 36(4), 2-12.
IISN
0190-0528
OAI Identifier
oai:repository.arizona.edu:10150/640039
Journal Volume
36
Journal Number
4
Journal Pages
2-12
Collection
Journal Name
Rangelands
Keywords
Parker Three-Step
photo monitoring
long-term vegetation data
coyote grazing allotments
  • Practical, non-technical peer-reviewed articles published by the Society for Range Management. Access articles on a rolling-window basis from vol 1, 1979 up to 3 years from the current year. More recent content is available by subscription from SRM.