Discussion Paper: Establishing Cause-Effect Relationships using Forest Survey Data
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.
Document Type: Discussion
Affiliations: Research Forester, Institute for Quantitative Studies, USDA Forest Service, Southern Forest Experiment Station, New Orleans, LA
Publication date: 1991-12-01
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
Also published by SAF:
Journal of Forestry
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