scholarly journals Woodcock is Not a Dirty Word! Using Interest in Wildlife to Engage Private Forest Landowners

2019 ◽  
Keyword(s):  
Private Forest ◽  
Forest Landowners ◽  
Private Forest Landowners

Scale of harvesting by non-industrial private forest landowners

2006 ◽  
Vol 11 (4) ◽  
pp. 223-244 ◽  
Author(s):  
Melinda Vokoun ◽  
Gregory S. Amacher ◽  
David N. Wear
Keyword(s):  
Private Forest ◽  
Forest Landowners ◽  
Private Forest Landowners

scholarly journals Segmentation to Focus Outreach: Behavioral Intentions of Private Forest Landowners in Pennsylvania

2016 ◽  
Vol 114 (4) ◽  
pp. 466-473 ◽  
Author(s):  
Alexander L. Metcalf ◽  
Joshua B. Gruver ◽  
James C. Finley ◽  
A.E. Luloff
Keyword(s):  
Behavioral Intentions ◽  
Private Forest ◽  
Forest Landowners ◽  
Private Forest Landowners

How promptly nonindustrial private forest landowners regenerate their lands after harvest: a duration analysis

2008 ◽  
Vol 38 (8) ◽  
pp. 2109-2117 ◽  
Author(s):  
Xing Sun ◽  
Ian A. Munn ◽  
Changyou Sun ◽  
Anwar Hussain
Keyword(s):  
Duration Analysis ◽  
Time Interval ◽  
Private Forest ◽  
Forest Types ◽  
Forest Landowners ◽  
Factors Associated ◽  
The Mean ◽  
Nonindustrial Private Forest ◽  
Mean Time ◽  
Private Forest Landowners

Understanding factors that influence how promptly landowners regenerate their timberlands after harvest, if at all, is critical to developing policies to improve forest productivity. Mississippi forest landowners with over 100 acres (1 acre = 0.404 ha) of forestland were surveyed in 2006 to collect harvest and regeneration data from 1996 to 2006. This study investigated the length of the time interval between harvest and reforestation. Nonparametric duration analysis was used to examine how long nonindustrial private forest landowners waited to reforest after harvesting. Parametric duration analysis was used to examine factors that influenced the length of this period. The mean time elapsed from harvest to regeneration was 11 months for landowners that regenerated their lands. The instantaneous probability of regeneration reached its highest value in the 16th month after harvest and, thereafter, decreased steadily until the 28th month, after which the probability of regeneration was essentially nil. Interest in timber production, employing a consultant, and ownerships that were predominantly pine forest types were factors associated with substantially shorter reforestation times. Lower stumpage prices and higher reforestation costs were associated with substantially longer reforestation times.

Ecological and economic benefits of cross-boundary coordination among private forest landowners

2008 ◽  
Vol 23 (4) ◽  
pp. 481-496 ◽  
Author(s):  
Lisa A. Schulte ◽  
Mark Rickenbach ◽  
Laura C. Merrick
Keyword(s):  
Economic Benefits ◽  
Private Forest ◽  
Forest Landowners ◽  
Private Forest Landowners

scholarly journals Assessing and Understanding Timber Trespass and Theft Laws in the Appalachian Region

2005 ◽  
Vol 22 (2) ◽  
pp. 94-101 ◽  
Author(s):  
Michael J. Mortimer ◽  
Shawn Baker ◽  
Robert M. Shaffer
Keyword(s):  
At Risk ◽  
Private Forest ◽  
Appalachian Region ◽  
Forest Landowners ◽  
State Laws ◽  
Private Forest Landowners

Abstract Many forest landowners in the Appalachian region are at risk from timber theft and trespass. State laws within this region provide a confusing assortment of civil and criminal remedies to address such infractions. These heterogeneous laws address timber theft in varying specificityand intensity. A range of interpretations by courts have further impacted the meaning and effectiveness of existing laws. Few current civil and criminal remedies appear to provide sufficient protections for private forest landowners, and review and revision of existing statutory structuresis warranted. Specific areas of focus should include statutes of limitation, the issue of trespasser intent, and the method for ascertaining the landowners' damages.North. J. Appl. For. 22(2):94–101.

Adjusting Timberland Lease Payments for Stumpage Price-Changes

1986 ◽  
Vol 3 (1) ◽  
pp. 22-25
Author(s):  
W. David Klemperer
Keyword(s):  
Inflation Rate ◽  
Annual Income ◽  
Private Forest ◽  
Forest Landowners ◽  
Price Changes ◽  
Price Increases ◽  
Stumpage Price ◽  
Nonindustrial Private Forest ◽  
To Receive ◽  
Private Forest Landowners

Abstract Many past industrial leases of private timberlands have proven unsatisfactory for landowners, because lease payments were constant during periods of rapidly increasing timber prices. Although many contracts now index lease payments to the inflation rate, few incorporate real increases in stumpage prices above the inflation rate. This paper examines variations of two basic methods for incorporating real stumpage price-increases into formulas for determining acceptable lease payments from views of both landowner and firm. These approaches offer more satisfactory means for nonindustrial private forest landowners to receive annual income before harvest and for firms to obtain wood supplies without the high cost of land purchase. North. J. Appl. For. 3:22-25, Mar. 1986.

Kudzu Control and Impact on Monetary Returns to Non-Industrial Private Forest Landowners in Mississippi

2011 ◽  
Vol 30 (3) ◽  
pp. 204-223 ◽  
Author(s):  
Donald L. Grebner ◽  
Andrew W. Ezell ◽  
Jon D. Prevost ◽  
Deborah A. Gaddis
Keyword(s):  
Private Forest ◽  
Forest Landowners ◽  
Private Forest Landowners

The behavior of nonindustrial private forest landowners

1989 ◽  
Vol 19 (8) ◽  
pp. 1014-1023 ◽  
Author(s):  
Bengt T. Hyberg ◽  
Duncan M. Holthausen
Keyword(s):  
Empirical Evidence ◽  
Policy Implications ◽  
Private Forest ◽  
Forest Landowners ◽  
Nonindustrial Private Forest ◽  
Private Forest Landowners

Recent models of nonindustrial private forest landowner behavior have suggested that landowners seek nonmonetary as well as monetary returns from their forest investments. In this paper, landowners are modeled as maximizing utility, which is a function of income and nonpecuniary benefits. We explore the implications of this model for both harvesting and reforestation decisions, present empirical evidence that supports the model, and discuss some policy implications of the model.

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