Skip to main content

Discussion Paper: Establishing Cause-Effect Relationships using Forest Survey Data

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

The issue of whether Forest Survey data can be used to establish cause-effect relationships is addressed. We discuss analogous situations in other fields of science, where survey data has been useful in establishing cause-effect, as well as some of the statistical theory developed expressly to deal with cause-effect. We conclude that cause-effect may be established, if both the potential cause and effect variables are measured in the Survey provided the variables are measured accurately, estimated properly, and are based on a large enough sample. Otherwise, Forest Survey data can be used, however, to establish growth trends for large areas, suggest and identify potential cause-effect hypotheses, and identify supplemental data sets to be collected to bolster or reject potential hypotheses.

Keywords: Cause-effect criteria; analogies with other fields; designed experiment; growth; models; mortality; observational studies

Document Type: Discussion

Affiliations: Research Forester, Institute for Quantitative Studies, USDA Forest Service, Southern Forest Experiment Station, New Orleans, LA

Publication date: December 1, 1991

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
saf/fs/1991/00000037/00000006/art00003
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect 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