scholarly journals Working to Address Complex Forest Issues: A Collaborative Case Study between the Mescalero Apache Nation and USDA Forest Service

2017 ◽  
Vol 115 (5) ◽  
pp. 456-457
Author(s):  
Quentin R. Hays
Keyword(s):  
Forest Service ◽  
Usda Forest Service ◽  
Mescalero Apache

scholarly journals Evaluation of the USDA Forest Service National Woodland Owner Survey Estimators for Private Forest Area and Landowners: A Case Study of Montana

2016 ◽  
Vol 62 (5) ◽  
pp. 525-534 ◽  
Author(s):  
Neil R. Ver Planck ◽  
Alexander L. Metcalf ◽  
Andrew O. Finley ◽  
James C. Finley
Keyword(s):  
Forest Service ◽  
Forest Area ◽  
Private Forest ◽  
Usda Forest Service ◽  
National Woodland Owner Survey

A role for stakeholder objectives in USDA Forest Service plan revisions: A case study on the White River National Forest

2003 ◽  
Vol 10 (5) ◽  
pp. 515-542 ◽  
Author(s):  
B. Kent ◽  
P. Kaval ◽  
J. Berry ◽  
M. Retzlaff ◽  
D. Hormaechea ◽  
...  
Keyword(s):  
Forest Service ◽  
National Forest ◽  
Usda Forest Service ◽  
White River ◽  
Service Plan

A Method to Assess Large-Scale Forest Damage: A Case Study

1993 ◽  
Vol 17 (4) ◽  
pp. 197-199 ◽  
Author(s):  
Coleman A. Doggett
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Large Scale ◽  
Geographic Information ◽  
Forest Service ◽  
Forest Damage ◽  
Usda Forest Service ◽  
Damage Data

Abstract Large-scale forest disasters require rapid quantitative damage assessments. A method is presented of quickly acquiring statistically quantifiable damage data. The method involves systematic ground sampling coupled with the use of a geographic information system (GIS), which maps damage by criteria classes and determines acreage within each criteria class. These data are then expanded by average per-acre timber volumes obtained from USDA Forest Service statewide inventories and by mean losses within defined classes to determine volume losses. Volume losses are converted to dollar values by multiplying volumes by Timber Mart South (Norris 1989) stumpage values. South. J. Appl. For. 17(4):197-199.

USDA Forest Service National Woodland Owner Survey, 2011-2013: design, implementation, and estimation methods

2016 ◽  
Author(s):  
Brett J. Butler ◽  
Brenton J. Dickinson ◽  
Jaketon H. Hewes ◽  
Sarah M. Butler ◽  
Kyle Andrejczyk ◽  
...  
Keyword(s):  
Forest Service ◽  
Estimation Methods ◽  
Usda Forest Service ◽  
National Woodland Owner Survey

USDA Forest Service Global Change Research Program Highlights: 1991-1995 : Effects of Global Change

1997 ◽  
Author(s):  
Richard Birdsey ◽  
Robert Mickler ◽  
David Sandberg ◽  
Richard Tinus ◽  
John Zerbe ◽  
...  
Keyword(s):  
Global Change ◽  
Research Program ◽  
Forest Service ◽  
Usda Forest Service ◽  
Global Change Research Program ◽  
Global Change Research

Conservation and restoration of sagebrush ecosystems and sage-grouse: An assessment of USDA Forest Service Science

2016 ◽  
Author(s):  
D. M. Finch ◽  
D. A. Boyce ◽  
J. C. Chambers ◽  
C. J. Colt ◽  
K. Dumroese ◽  
...  
Keyword(s):  
Forest Service ◽  
Service Science ◽  
Sage Grouse ◽  
Usda Forest Service

Stratified forest inventory estimation with mapped plots

2005 ◽  
Vol 35 (10) ◽  
pp. 2382-2386 ◽  
Author(s):  
Paul C Van Deusen
Keyword(s):  
Forest Inventory ◽  
Forest Service ◽  
Forest Types ◽  
Inventory Data ◽  
Expansion Factor ◽  
Usda Forest Service ◽  
Weighted Estimation ◽  
Forest Conditions

Weighted estimation formulas are developed for producing stratified estimates of means and variances where data come from plots that can contain multiple forest conditions. Each plot is mapped to allow the analyst to focus on specific forest types or conditions. The weights required to accommodate mapped plots are somewhat more complicated than the weights for unmapped plots. In particular, these weights depend on the mapped condition of interest. The implication is that a single plot weight or expansion factor will not suffice for all analyses as it does for unmapped plots. The methods are demonstrated using USDA Forest Service inventory data.

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