Hiking up to the next plot…

Rocky Mountain Biological Laboratory · Gothic, Colorado · founded 1928. A non-profit field station for long-term ecological research.

Tools

Data Hub Spatial Data Platform Browser Weather and Climate Dashboard Gothic webcam billy barr’s snow records pySDP rSDP RMBL Compute Hub Bloom Forecast

Connect

GitHub · rmbl-sdp RMBL main site ikb@rmbl.org

P.O. Box 519 Crested Butte, CO 81224 · (970) 349-7231 · RMBL is a Colorado non-profit organization with IRS 501(c)(3) status. RMBL is an equal opportunity service provider and employer and operates under permit from the USDA Forest Service, Gunnison National Forest. Support for the Knowledge Commons provided by the Clark Family Foundation.

Human roadside disturbance and natural avalanche disturbance: a richness and diversity comparison — RMBL Knowledge Commons

← Back to PublicationsStudent Paper

Human roadside disturbance and natural avalanche disturbance: a richness and diversity comparison

Authors: Parson, D.

Year: 1997

Publisher: UNKNOWN

Keywords: BOTANY, DISTURBANCE, RMBL STUDENT PAPER, SPECIES DIVERSITY, SPECIES RICHNESS

Related Works

Items connected by shared entities, co-authorship, citations, or semantic similarity.

Student Paper

Richness and distribution of insects on a slope frequently disturbed by avalanches

199787% similar

Student Paper

A comparative population study of an avalanche site and the neighboring standing forest

199386% similar

Student Paper

Ski runs and avalanche slopes: response to periodic natural and human disturbance

199285% similar

Document

Wildlife Impacts

68% similar

Document

Colorado?s Alpine Ecosystem Health ? A Case Study on San Juan, Sawatch, and West Elk Mountains

67% similar

Document

Some Factors Historically Affecting The Distribution and Abundance of Fishes In The Gunnison River

66% similar

Dataset

Paces of species range shifts (R script)

201662% similar

Dataset

Data from: Novel forests maintain ecosystem processes after the decline of native tree species

201562% similar

Dataset

Changing climate drives divergent and nonlinear shifts in flowering phenology across elevations

202061% similar