Assessing multiple estimates of plantation productivity

1989 ◽  
Vol 19 (8) ◽  
pp. 948-954 ◽  
Author(s):  
David D. Reed ◽  
Elizabeth A. Jones

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.

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

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 ◽  
...  

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.


2003 ◽  
Vol 27 (4) ◽  
pp. 237-252 ◽  
Author(s):  
James H. Miller ◽  
Bruce R. Zutter ◽  
Shepard M. Zedaker ◽  
M. Boyd Edwards ◽  
Ray A. Newbold

Abstract Loblolly pine (Pinus taeda L.) plantations were studied across 13 southeastern sites grown for 15 yr with near-complete control of woody, herbaceous, and woody plus herbaceous components during the first 3–5 yr. This multiple objective experiment (the COMProject) documents stand dynamics at the extreme corners of the response surface that encompasses most competition conditions common to pine plantations. This is the second of two companion reports. Merchantable pine volume after 15 yr with early, near complete competition control reached 2,350–4,415 ft3/ac by site compared to 1,132–2,965 ft3/ac on the no controls. With control of both woody and herbaceous competition, 15 yr volumes were increased by 23–121% and gains increased as hardwoods and shrubs increased on the no controls. Early woody control increased merchantable pine volume on 11 sites by 14–118%, while herbaceous control yielded somewhat less on average, a 17–50% increase on ten sites. No gains and some volume losses occurred when control of one component released severe competition from an enhanced remaining component, otherwise gains were generally additive for control of both components. Pine volume was decreased by about 1% for each 1 ft2/ac of hardwood basal area (BA) present at age 15. Annual measurements determined that culmination of current annual increment (CAI) with control of both competition components occurred in yr 8–11 at 250–470 ft3/ac/yr. CAIs for pine height, BA, and volume were decreased by about 5–27% when growing season rainfall (March–October) was less than 36 in. Mean annual increment had not culminated for any treatment at any location by yr 15 and ranged from 195–250 ft3/ac/yr with both woody and herbaceous control. Fusiform rust mainstem galls [Cronartium quercuum (Berk.) Miyabe ex Shirai f. sp. fusiforme (Hedge. & Hunt) Burdsall & Snow] in high severity areas increased additively with control of both components, more so with herb control. Contrary to the widespread assumption that hardwood out-compete pine, the hardwood proportion of stand BA decreased from yr 5–15 on sites where hardwood BA in yr 5 exceeded 10 ft2. South. J. Appl. For. 27(4):237–252.


1990 ◽  
Vol 5 (4) ◽  
pp. 123-126
Author(s):  
Marshall D. Murray ◽  
Constance A. Harrington

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.


2017 ◽  
Vol 47 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Shengli Huang ◽  
Carlos Ramirez ◽  
Scott Conway ◽  
Kama Kennedy ◽  
Tanya Kohler ◽  
...  

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.


2003 ◽  
Vol 79 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Jeremy Heigh ◽  
Glenn Fox ◽  
Daniel McKenney ◽  
Kimberly Rollins

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


1986 ◽  
Vol 3 (4) ◽  
pp. 144-148 ◽  
Author(s):  
Charles T. Scott ◽  
Nancy G. Voorhis

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.


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