Skip to main content

Describing and Testing Nonlinear Treatment Effects in Paired Watershed Experiments

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

In forest hydrology research, treatment effects are commonly assumed to be proportional to the hydrologic response measured on a control watershed, and are fitted and tested for significance by linear regression techniques. More likely the treatment effect (measured as the difference between pre- and posttreatment regressions of the treatment basin's response on the control basin's response to weather) is nonlinear, unimodal in midrange, and asymptotically zero in one or both extreme ranges. This paper offers simple models for describing such treatment effects and gives illustrative fitting and testing procedures. Forest Sci. 30:305-313.

Keywords: Coastal Plains; hydrology; silviculture; stormflow

Document Type: Journal Article

Affiliations: Research Foresters, Southeastern Forest Experiment Station, located, in Gainesville, FL, and Franklin, NC

Publication date: 1984-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more