Development and testing of regeneration imputation models for forests in Minnesota

Alan R. Ek; Andrew P. Robinson; Philip J. Radtke; David K. Walters

doi:10.1016/S0378-1127(96)03970-9

Development and testing of regeneration imputation models for forests in Minnesota

Alan R. Ek, Andrew P. Robinson, Philip J. Radtke, David K. Walters

Forest Resources

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

Tabular imputation models were developed and tested to estimate postharvest forest stand characteristics in Minnesota. The models were based on a sorting of statewide inventory plot data into sets of tables containing estimates of number of trees and basal area per hectare by covertype, species, and diameter class for young postharvest stands. The primary bases for sorting within the sets of tables were stand age following harvest, and site index. The output tables were organized to facilitate their use as young stand input data to existing growth and yield models. Analysis of these tables indicated that basal area increased rapidly for young stands and then began to level off as stand ages approached 20 years; furthermore, the variability within the tables decreased as forest stands matured. Implications for alternative methods of implementing the models are also discussed.

Original language	English (US)
Pages (from-to)	129-140
Number of pages	12
Journal	Forest Ecology and Management
Volume	94
Issue number	1-3
DOIs	https://doi.org/10.1016/S0378-1127(96)03970-9
State	Published - Jun 30 1997

Bibliographical note

Funding Information:
This research was supported by the College of Natural Resources and the Minnesota Agricultural Experiment Station, University of Minnesota, St. Paul, the Mcintire-Stennis Cooperative Forestry Research Program, and the USDA Small Business Innovation Research Program. Published as Paper No. 22,469 of the Minnesota Agricultural Experiment Station.

Keywords

Forest inventory
Harvesting
Simulation
Species diversity
Stratification
Tabular models

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title = "Development and testing of regeneration imputation models for forests in Minnesota",

abstract = "Tabular imputation models were developed and tested to estimate postharvest forest stand characteristics in Minnesota. The models were based on a sorting of statewide inventory plot data into sets of tables containing estimates of number of trees and basal area per hectare by covertype, species, and diameter class for young postharvest stands. The primary bases for sorting within the sets of tables were stand age following harvest, and site index. The output tables were organized to facilitate their use as young stand input data to existing growth and yield models. Analysis of these tables indicated that basal area increased rapidly for young stands and then began to level off as stand ages approached 20 years; furthermore, the variability within the tables decreased as forest stands matured. Implications for alternative methods of implementing the models are also discussed.",

keywords = "Forest inventory, Harvesting, Simulation, Species diversity, Stratification, Tabular models",

author = "Ek, {Alan R.} and Robinson, {Andrew P.} and Radtke, {Philip J.} and Walters, {David K.}",

note = "Funding Information: This research was supported by the College of Natural Resources and the Minnesota Agricultural Experiment Station, University of Minnesota, St. Paul, the Mcintire-Stennis Cooperative Forestry Research Program, and the USDA Small Business Innovation Research Program. Published as Paper No. 22,469 of the Minnesota Agricultural Experiment Station.",

year = "1997",

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doi = "10.1016/S0378-1127(96)03970-9",

language = "English (US)",

volume = "94",

pages = "129--140",

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TY - JOUR

T1 - Development and testing of regeneration imputation models for forests in Minnesota

AU - Ek, Alan R.

AU - Robinson, Andrew P.

AU - Radtke, Philip J.

AU - Walters, David K.

N1 - Funding Information: This research was supported by the College of Natural Resources and the Minnesota Agricultural Experiment Station, University of Minnesota, St. Paul, the Mcintire-Stennis Cooperative Forestry Research Program, and the USDA Small Business Innovation Research Program. Published as Paper No. 22,469 of the Minnesota Agricultural Experiment Station.

PY - 1997/6/30

Y1 - 1997/6/30

N2 - Tabular imputation models were developed and tested to estimate postharvest forest stand characteristics in Minnesota. The models were based on a sorting of statewide inventory plot data into sets of tables containing estimates of number of trees and basal area per hectare by covertype, species, and diameter class for young postharvest stands. The primary bases for sorting within the sets of tables were stand age following harvest, and site index. The output tables were organized to facilitate their use as young stand input data to existing growth and yield models. Analysis of these tables indicated that basal area increased rapidly for young stands and then began to level off as stand ages approached 20 years; furthermore, the variability within the tables decreased as forest stands matured. Implications for alternative methods of implementing the models are also discussed.

AB - Tabular imputation models were developed and tested to estimate postharvest forest stand characteristics in Minnesota. The models were based on a sorting of statewide inventory plot data into sets of tables containing estimates of number of trees and basal area per hectare by covertype, species, and diameter class for young postharvest stands. The primary bases for sorting within the sets of tables were stand age following harvest, and site index. The output tables were organized to facilitate their use as young stand input data to existing growth and yield models. Analysis of these tables indicated that basal area increased rapidly for young stands and then began to level off as stand ages approached 20 years; furthermore, the variability within the tables decreased as forest stands matured. Implications for alternative methods of implementing the models are also discussed.

KW - Forest inventory

KW - Harvesting

KW - Simulation

KW - Species diversity

KW - Stratification

KW - Tabular models

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U2 - 10.1016/S0378-1127(96)03970-9

DO - 10.1016/S0378-1127(96)03970-9

M3 - Article

AN - SCOPUS:0030613057

SN - 0378-1127

VL - 94

SP - 129

EP - 140

JO - Forest Ecology and Management

JF - Forest Ecology and Management

IS - 1-3

ER -

Development and testing of regeneration imputation models for forests in Minnesota

Abstract

Bibliographical note

Keywords

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