scholarly journals The economic impact of the 1998 ice storm on eastern Ontario woodlots: Case studies of red pine and white cedar

2003 ◽  
Vol 79 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Jeremy Heigh ◽  
Glenn Fox ◽  
Daniel McKenney ◽  
Kimberly Rollins
Keyword(s):  
Site Index ◽  
Red Pine ◽  
Stochastic Simulations ◽  
Ice Storm ◽  
Severe Damage ◽  
Annual Increment ◽  
White Cedar ◽  
Capital Budget ◽  
Minimal Damage ◽  
Mean Annual Increment

This paper reports estimates of the economic costs of the 1998 ice storm at the enterprise and regional levels for owners of red pine (Pinus resinosa Ait.) and white cedar (Thuja occidentalis L.) woodlots. The results are based on alternative management regimes and response strategies and illustrates the broader issues currently discussed in forestry such as intensive silviculture and harvest practices. A partial capital budget approach was used to estimate representative per hectare losses for red pine and white cedar. Stochastic simulations and sensitivity analyses were used to examine the robustness of the estimates of economic damages. Per hectare losses for red pine ranged from $560 per hectare for minimal damage for a 25-year-old stand being managed under a target harvest regime to $13,236 per hectare for a 55-year-old stand subjected to severe damage and being managed under a Faustmann harvest regime. Total economic loss for red pine plantations is estimated to be between $21.2 and $32.5 million (1999 constant dollars) at the regional level. This estimate varies with the harvest regime being used. Per hectare losses for white cedar ranged from $307 per hectare for a 70-year-old stand suffering minimal damage and being harvested under a mean annual increment rule on site index 12 land to $1721 per hectare for a 70-year-old stand suffering severe damage and being managed under a mean annual increment rule on site index 10 land. The range of estimated aggregate losses for white cedar is larger than the range for red pine, extending from $3.56 million to $39.6 million with a mean estimate of $22 million (1999 constant dollars) for the mean annual increment harvest regime. Key words: partial capital budget, stochastic simulation, sensitivity analysis, natural disaster policy

Classification of Eucalyptus plantation Site Index (SI) and Mean Annual Increment (MAI) prediction using DEM-based geomorphometric and climatic variables in Brazil

2020 ◽  
pp. 1-18
Author(s):  
Aliny Aparecida Dos Reis ◽  
Steven E. Franklin ◽  
Fausto Weimar Acerbi Júnior ◽  
Antonio Carlos Ferraz Filho ◽  
José Marcio de Mello
Keyword(s):  
Site Index ◽  
Climatic Variables ◽  
Annual Increment ◽  
Eucalyptus Plantation ◽  
Mean Annual Increment

Growth Intercept Methods for Predicting Site Index in Red Pine Plantations in the Allegheny Plateau of Ohio

1990 ◽  
Vol 7 (1) ◽  
pp. 27-30 ◽  
Author(s):  
James H. Brown ◽  
Charles A. Duncan
Keyword(s):  
Site Index ◽  
Height Growth ◽  
Red Pine ◽  
Site Quality ◽  
Soil Horizon ◽  
Old Field ◽  
Annual Increment ◽  
Breast Height ◽  
Allegheny Plateau ◽  
Growth Intercept

Abstract Growth intercept (GI) techniques were evaluated for estimating site quality in red pine stands planted on old-field sites in the unglaciated Western and Central Allegheny Plateau regions of Ohio. Correlations between height growth of trees below breast height (BH) and height growth above BH were not statistically significant. Site index estimates were made using age at BH and height from BH to the growing tip. Three-year and 5-year growth beginning three internodes above the BH annual increment and 10-year growth beginning one internode above BH were more significantly correlated with height than were intercepts beginning at BH. In equations developed for predicting site index, 3-, 5-, and 10-year intercepts in combination with age accounted for 64 to 80% of the variation in tree heights. Combining thickness of the A soil horizon with GI and age statistically increased the variation accounted for in the 3- and 5-year GI equations; however, for field use, the improvement in accuracy was not sufficient to justify making the additional soil measurement. North. J. Appl. For. 7(1):27-30, March 1990.

scholarly journals Radial growth of hardwoods following the 1998 ice storm in New Hampshire and Maine

2003 ◽  
Vol 33 (2) ◽  
pp. 325-329 ◽  
Author(s):  
Kevin T Smith ◽  
Walter C Shortle
Keyword(s):  
Radial Growth ◽  
Sugar Maple ◽  
Growth Index ◽  
Ice Storm ◽  
Red Maple ◽  
Yellow Birch ◽  
Annual Increment ◽  
White Ash ◽  
Class A ◽  
Mean Annual Increment

Ice storms and resulting injury to tree crowns occur frequently in North America. Reaction of land managers to injury caused by the regional ice storm of January 1998 had the potential to accelerate the harvesting of northern hardwoods due to concern about the future loss of wood production by injured trees. To assess the effect of this storm on radial stem growth, increment cores were collected from northern hardwood trees categorized by crown injury classes. For a total of 347 surviving canopy dominant and subdominant trees, a radial growth index was calculated (mean annual increment for 1998–2000 divided by the mean annual increment for 1995–1997). Sugar maple (Acer saccharum Marsh.), yellow birch (Betula alleghaniensis Britt.), white ash (Fraxinus americana L.), and red maple (Acer rubrum L.) categorized in injury class A (crown loss of less than one-half) had mean growth index values of approximately 1.0, indicating no loss of mean radial growth after 3 years. For injury class B (crown loss of one-half to three-quarters) and class C (crown loss greater than three-quarters), growth index values significantly decreased for sugar maple, yellow birch, and red maple. For white ash, growth index values of classes B and C were not significantly different from those of class A trees. Growth index values of A. saccharum and A. rubrum in injury class C were the lowest of those measured. These results indicated that the severity of growth loss due to crown injury depends on tree species and crown replacement as well as the extent of crown loss.

scholarly journals Dominant Height Model for Site Classification ofEucalyptus grandisIncorporating Climatic Variables

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
José Roberto Soares Scolforo ◽  
Romualdo Maestri ◽  
Antonio Carlos Ferraz Filho ◽  
José Márcio de Mello ◽  
Antônio Donizette de Oliveira ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Eucalyptus Grandis ◽  
Site Index ◽  
Climatic Variables ◽  
Site Classification ◽  
Monthly Precipitation ◽  
Annual Increment ◽  
Dominant Height ◽  
Mean Annual Increment ◽  
Height Model

This study tested the effects of inserting climatic variables inEucalyptus grandisas covariables of a dominant height model, which for site index classification is usually related to age alone. Dominant height values ranging from 1 to 12 years of age located in the Southeast region of Brazil were used, as well as data from 19 automatic meteorological stations from the area. The Chapman-Richards model was chosen to represent dominant height as a function of age. To include the environmental variables a modifier was included in the asymptote of the model. The asymptote was chosen since this parameter is responsible for the maximum value which the dominant height can reach. Of the four environmental variables most responsible for database variation, the two with the highest correlation to the mean annual increment in dominant height (mean monthly precipitation and temperature) were selected to compose the asymptote modifier. Model validation showed a gain in precision of 33% (reduction of the standard error of estimate) when climatic variables were inserted in the model. Possible applications of the method include the estimation of site capacity in regions lacking any planting history, as well as updating forest inventory data based on past climate regimes.

Assessing multiple estimates of plantation productivity

1989 ◽  
Vol 19 (8) ◽  
pp. 948-954 ◽  
Author(s):  
David D. Reed ◽  
Elizabeth A. Jones
Keyword(s):  
Site Index ◽  
Classification Systems ◽  
Pine Plantations ◽  
Annual Increment ◽  
Habitat Classification ◽  
Soil Site ◽  
Plantation Productivity ◽  
Mean Annual Increment ◽  
True Values ◽  
Forest Managers

Forest managers are often faced with several estimates of plantation productivity. Not only are there different measures of productivity, such as site index or mean annual increment at some fixed age, but estimates of each may be obtained from several sources, including habitat classification systems, soil site equations, and growth measures from young stands. Site index cannot be truly observed until the stand reaches index age, and mean annual increment cannot be truly observed without measuring standing volume at the age of interest. Without observations of these "true" values, common measures of accuracy have only generally evaluated performance compared to a standard method that accurately predicts these values. In this paper, a technique of assessing alternative estimates of site index and mean annual increment in the absence of observations of the true values is presented and is illustrated through a quantitative evaluation of the alternative productivity estimates for young red pine plantations.

Yield Comparison of Three Douglas-Fir Plantations on Former Farmland in Western Washington

1990 ◽  
Vol 5 (4) ◽  
pp. 123-126
Author(s):  
Marshall D. Murray ◽  
Constance A. Harrington
Keyword(s):  
Pseudotsuga Menziesii ◽  
Nutrient Availability ◽  
Site Index ◽  
Douglas Fir ◽  
Annual Increment ◽  
Volume Yield ◽  
Western Washington ◽  
Natural Stands ◽  
Mean Annual Increment ◽  
Enhanced Yield

Abstract Yields of three Douglas-fir (Pseudotsuga menziesii) plantations on former farmland were substantially greater than DFSIM yields for the plantations based on site index estimates from adjacent natural stands. Volume yield per acre of trees 1.6 in. dbh and larger was 40 to 57% greater in the actual plantations than in the simulations. For trees 7.6 in. dbh and larger, volume yield of the actual plantations was 85 to 151% greater than the simulated yields. Mean annual increment of the actual plantations was 56 to 69% greater than the simulated values. In addition, top height was greater in two of the plantations than predicted. Running a second set of simulations with site index estimates based on plantation trees reduced the discrepancy in yields but still resulted in substantial underpredictions. Some possible reasons for enhanced yield of the plantations on former farmland are greater site uniformity, reduced vegetative competition, and increased nutrient availability. West. J. Appl. For. 5(4):00-00, October 1990.

scholarly journals Mapping site index and volume increment from forest inventory, Landsat, and ecological variables in Tahoe National Forest, California, USA

2017 ◽  
Vol 47 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Shengli Huang ◽  
Carlos Ramirez ◽  
Scott Conway ◽  
Kama Kennedy ◽  
Tanya Kohler ◽  
...  
Keyword(s):  
Forest Type ◽  
Absolute Error ◽  
Site Index ◽  
Soil Productivity ◽  
National Forest ◽  
Annual Increment ◽  
Ecological Variables ◽  
Adjustment Factors ◽  
Species Specific ◽  
Mean Annual Increment

High-resolution site index (SI) and mean annual increment (MAI) maps are desired for local forest management. We integrated field inventory, Landsat, and ecological variables to produce 30 m SI and MAI maps for the Tahoe National Forest (TNF) where different tree species coexist. We converted species-specific SI using adjustment factors. Then, the SI map was produced by (i) intensifying plots to expand the training sets to more climatic, topographic, soil, and forest reflective classes, (ii) using results from a stepwise regression to enable a weighted imputation that minimized the effects of outlier plots within classes, and (iii) local interpolation and strata median filling to assign values to pixels without direct imputations. The SI (reference age is 50 years) map had an R2 of 0.7637, a root-mean-square error (RMSE) of 3.60, and a mean absolute error (MAE) of 3.07 m. The MAI map was similarly produced with an R2 of 0.6882, an RMSE of 1.73, and a MAE of 1.20 m3·ha−1·year−1. Spatial patterns and trends of SI and MAI were analyzed to be related to elevation, aspect, slope, soil productivity, and forest type. The 30 m SI and MAI maps can be used to support decisions on fire, plantation, biodiversity, and carbon.

Northeastern Forest Survey Site Index Equations and Site Productivity Classes

1986 ◽  
Vol 3 (4) ◽  
pp. 144-148 ◽  
Author(s):  
Charles T. Scott ◽  
Nancy G. Voorhis
Keyword(s):  
Forest Inventory ◽  
Site Index ◽  
Forest Growth ◽  
Site Productivity ◽  
Annual Increment ◽  
Potential Productivity ◽  
Forest Inventory And Analysis ◽  
Forest Survey ◽  
Forest Experiment Station ◽  
Mean Annual Increment

Abstract The Forest Inventory and Analysis project of the Northeastern Forest Experiment Station estimates site productivity as part of its survey of the forest resources. Site productivity is defined as the growth rate of a fully stocked stand at the age of maximum mean annual increment. It is assumed that site productivity is related to site index and can be estimated from it. Polymorphic site index equations for 19 species found in the Northeast are presented for use in determining site productivity class. The equations were developed from existing site index tables or equations and are intended to facilitate the analysis of forest growth and potential productivity. North. J. Appl. For. 3:144-148, Dec. 1986.

Sign in / Sign up

Export Citation Format

Share Document