Stand density index in uneven-aged ponderosa pine stands

2003 ◽  
Vol 33 (1) ◽  
pp. 96-100 ◽  
Author(s):  
C W Woodall ◽  
C E Fiedler ◽  
K S Milner
Keyword(s):  
Relative Density ◽  
Ponderosa Pine ◽  
Site Occupancy ◽  
Stand Density ◽  
Summation Method ◽  
Diameter Class ◽  
Density Index ◽  
Pine Stands ◽  
Stand Density Index ◽  
Diameter Distributions

Stand density index (SDI) was developed to quantify relative stand density in even-aged stands. Application of SDI in uneven-aged stands has been described mathematically but not justified biologically. Diameter-class trends in SDI and sapwood area across 14 uneven-aged ponderosa pine (Pinus ponderosa Dougl. ex P. & C. Laws.) stands in eastern Montana were examined to elucidate the biological underpinnings of the SDI summation method. Results indicate that the SDI summation method is biased in its apportionment of relative stand density across diameter classes in uneven-aged ponderosa pine stands. SDI apportions greater relative density to small trees than to larger ones. Therefore, SDI may overpredict site occupancy for reverse J-shaped diameter distributions with more small trees than large ones, and it may underpredict occupancy with nonreverse J-shaped diameter distributions. Application of the SDI summation method in uneven-aged ponderosa pine stands may be biologically justified only if site occupancy – diameter-class trends are taken into account when interpreting SDI values. Replacing the self-thinning scaling factor of the SDI summation method with more biologically relevant scaling relationships may create improved relative density measures for uneven-aged stands.

Influence of topography and forest structure on patterns of mixed severity fire in ponderosa pine forests of the South Dakota Black Hills, USA

2006 ◽  
Vol 15 (4) ◽  
pp. 557 ◽  
Author(s):  
Leigh B. Lentile ◽  
Frederick W. Smith ◽  
Wayne D. Shepperd
Keyword(s):  
South Dakota ◽  
Ponderosa Pine ◽  
Stand Structure ◽  
Stand Density ◽  
Fire Effects ◽  
Black Hills ◽  
Burn Severity ◽  
High Severity ◽  
Density Index ◽  
Stand Density Index

We examined the influence of topography and stand structure on fire effects within the perimeter of the ~34 000 ha Jasper fire of 2000 in ponderosa pine (Pinus ponderosa Laws.) forests of the South Dakota Black Hills, USA. We used a remotely sensed and field-verified map of post-fire burn severity (accuracy 69%, kappa statistic 0.54), the Digital Elevation Model, and vegetation databases maintained by the Black Hills National Forest to empirically test relationships at 500 randomly located points in each of three severity classes. Burn severity was defined as the relative degree of post-fire change based on fire effects on soil, forest floor, and vegetation. This fire burned rapidly, yet created a patchy mosaic of effects (25, 48, and 27% low, moderate, and high severity). Stands burned by low and moderate severity fire had fewer trees (stand density index <470 with fewer than 230 trees >13 cm diameter at breast height ha–1) and were found on less steep sites (slope < 18%). Denser stands (stand density index >470) with larger trees (average stand diameter >24 cm) or many small trees were more likely to burn with high severity effects. Our results suggest that managers should consider topography and stand structure together when making strategic decisions about which stands to thin or otherwise manage to reduce the severity with which forests will burn in wildfires.

scholarly journals A Density Management Diagram for Even-aged Ponderosa Pine Stands

2005 ◽  
Vol 20 (4) ◽  
pp. 205-215 ◽  
Author(s):  
James N. Long ◽  
John D. Shaw
Keyword(s):  
Ponderosa Pine ◽  
Selection Criteria ◽  
Basal Area ◽  
Stand Density ◽  
Geographic Area ◽  
Western United States ◽  
Selection System ◽  
Forest Inventory And Analysis ◽  
Pine Stands ◽  
Stand Density Index

Abstract We developed a density management diagram (DMD) for ponderosa pine using Forest Inventory and Analysis (FIA) data. Analysis plots were drawn from all FIA plots in the western United States on which ponderosa pine occurred. A total of 766 plots met the criteria for analysis. Selection criteria were for purity, defined as ponderosa pine basal area ≥80% of plot basal area, and even-agedness, as defined by a ratio between two calculations of stand density index. The DMD is relatively unbiased by geographic area and therefore should be applicable throughout the range of ponderosa pine. The DMD is intended for use in even-aged stands, but may be used for uneven-aged management where a large-group selection system is used. Examples of density management regimes are illustrated, and guidelines for use are provided. West. J. Appl. For. 20(4):205–215.

scholarly journals ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS

2016 ◽  
Vol 40 (5) ◽  
pp. 921-929 ◽  
Author(s):  
Ernani Lopes Possato ◽  
Natalino Calegario ◽  
Gilciano Saraiva Nogueira ◽  
Elliezer de Almeida Melo ◽  
Joyce de Almeida Alves
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Genetic Material ◽  
Stand Density ◽  
Model Parameters ◽  
Eucalyptus Urophylla ◽  
Frontier Analysis ◽  
Density Index ◽  
Number Of Stems ◽  
Stand Density Index

ABSTRACT The Reineke stand density index (SDI) was created on 1933 and remains as target of researches due to its importance on helping decision making regarding the management of population density. Part of such works is focused on the manner by which plots were selected and methods for the fit of Reineke model parameters in order to improve the definition of SDI value for the genetic material evaluated. The present study aimed to estimate the SDI value for Eucalyptus urophylla using the Reineke model fitted by the method of linear regression (LR) and stochastic frontier analysis (SFA). The database containing pairs of data number of stems per hectare (N) and mean quadratic diameter (Dq) was selected in three intensities, containing the 8, 30 and 43 plots of greatest density, and models were fitted by LR and SFA on each selected intensities. The intensity of data selection altered slightly the estimates of parameters and SDI when comparing the fits of each method. On the other hand, the adjust method influenced the mean estimated values of slope and SDI, which corresponded to -1.863 and 740 for LR and -1.582 and 810 for SFA.

scholarly journals Use of Modified Reineke’s Stand Density Index in Predicting Growth and Survival of Chinese Fir Plantations

2019 ◽  
Vol 65 (6) ◽  
pp. 776-783 ◽  
Author(s):  
Xiongqing Zhang ◽  
Quang V Cao ◽  
Lele Lu ◽  
Hanchen Wang ◽  
Aiguo Duan ◽  
...  
Keyword(s):  
Predictor Variable ◽  
Basal Area ◽  
Stand Density ◽  
Chinese Fir ◽  
The Self ◽  
Survival Models ◽  
Future Climate Change ◽  
Growth And Survival ◽  
Density Index ◽  
Stand Density Index

Abstract Stand density index (SDI) has played an important role in controlling stand stocking and modeling stand development in forest stands. Reineke’s SDI (SDI_R) is based on a constant slope of –1.605 for the self-thinning line. For Chinese fir plantations, however, it has been reported that the self-thinning slope varied with site and climate, rendering SDI_R questionable. Remeasured data from 48 plots distributed in Fujian, Jiangxi, Guangxi, and Sichuan provinces were used to develop models for prediction of stand survival and basal area, with SDI_R incorporated as a predictor variable. Also included in the evaluation were growth models based on self-thinning slopes estimated from two groups of sites (SDI_S) or from climate variables (SDI_C). Results indicated that models with climate-sensitive SDI (SDI_C) performed best, followed by SDI_S and SDI_R. The control models without SDI received the worst overall rank. Inclusion of climate-sensitive SDI in growth and survival models can therefore facilitate modeling of the relation between stand density and growth/survival under future climate-change conditions.

A Comparison of Diameter-and Volume-Based Stocking Guides for Red Alder

1989 ◽  
Vol 4 (4) ◽  
pp. 113-115 ◽  
Author(s):  
David E. Hibbs ◽  
Gary C. Carlton
Keyword(s):  
United States ◽  
Stand Density ◽  
The Self ◽  
Western United States ◽  
Alnus Rubra ◽  
Stem Density ◽  
Red Alder ◽  
Rule Based ◽  
Density Index ◽  
Stand Density Index

Abstract Stocking guides based on Reineke's stand density index concept (diameter vs stem density) and on the self-thinning rule (volume vs stem density) are currently in use in the western United States. A self-thinning rule-based guide has been developed for red alder (Alnus rubra). In this paper, we develop a Reineke-type guide for red alder and compare the growth of thinned and self-thinning stands in both systems. Stand density appears to be defined differently in the two systems, leading to differences in density management prescriptions. West. J. Appl. For. 4(4):113-115, October 1989.

scholarly journals A PRACTICAL MEASURE OF STOCK DENSITY IN WHITE AND RED PINE STANDS

1943 ◽  
Vol 19 (2) ◽  
pp. 108-118 ◽  
Author(s):  
G. A. Mulloy
Keyword(s):  
Line Graph ◽  
Stand Density ◽  
Average Diameter ◽  
Practical Application ◽  
White Pine ◽  
Age Classes ◽  
Straight Line ◽  
Pine Stands ◽  
Stand Density Index ◽  
Practical Measure

The findings of L. H. Reineke that a number of trees per acre on average diameter plotted on double logarithmic paper provides a straight line graph whose slope remains constant for all sites, age-classes and most species are checked against twenty years' record of sample plot data for red and white pine stands. The use of stand density index based on this principle in thinning technique and in forest management is developed.The practical application of these findings is shown. All that is necessary is to estimate the average diameter of the stand. The spacing for optimum development is then fixed.

scholarly journals Auf dem Weg zum Gebirgsplenterwald: Kurzzeiteffekte von Durchforstungen auf die Struktur subalpiner Fichtenwälder | On the way to a mountain selection forest:Short-term effects of thinning on the structure of subalpine spruce forests (reviewed paper)

2005 ◽  
Vol 156 (12) ◽  
pp. 456-466 ◽  
Author(s):  
Hansheinrich Bachofen ◽  
Andreas Zingg
Keyword(s):  
Spatial Distribution ◽  
Stand Density ◽  
Stand Development ◽  
Protective Function ◽  
Spruce Forests ◽  
Density Index ◽  
Thinning Operations ◽  
Stand Density Index ◽  
Improve Stability

Stand structures and stand stability in unmanaged Norway spruce forests in the Swiss mountains may decline and their protective function against natural hazards will thus be put at risk. They are being subjected to thinning operations to improve stability and, in the long-term, to transform them into mountain selection forests. On pairs of research plots – thinned and not thinned – we will closely follow the stand development. Preliminary results indicate that the best variables to describe the effectiveness of the applied treatment to the stand structures are the h/d ratio,the spatial distribution and the stand density index.

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