scholarly journals Dynamic Site Index Equation for Thinned Stands of Even-Aged Natural Longleaf Pine

2010 ◽  
Vol 34 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Dwight K. Lauer ◽  
John S. Kush
Keyword(s):  
Longleaf Pine ◽  
Pinus Palustris ◽  
Site Index ◽  
The United States ◽  
Permanent Plots ◽  
Gulf Region ◽  
Dummy Variable ◽  
Variable Approach ◽  
One Step ◽  
Generalized Algebraic Difference Approach

Abstract A dynamic site equation derived using the generalized algebraic difference approach was developed for thinned stands of natural longleaf pine (Pinus palustris Mill.) in the East Gulf region of the United States using 40 years of measurements on 285 permanent plots. The base model predicts height growth of trees once they reach 4.5 ft and was fit using a varying parameter for each tree and global parameters that are constant for all 3,267 trees. Parameters were estimated in one step using the dummy variable approach and a first-order autoregressive error term to account for serial correlation. The final base-age invariant equation allows the user to specify the number of years required for trees to reach 4.5 ft in height.

scholarly journals Site Index Curves for Direct-Seeded Loblolly and Longleaf Pines in Louisiana

1997 ◽  
Vol 21 (3) ◽  
pp. 134-138 ◽  
Author(s):  
Quang V. Cao ◽  
V. Clark Baldwin ◽  
Richard E. Lohrey
Keyword(s):  
Loblolly Pine ◽  
Longleaf Pine ◽  
Pinus Palustris ◽  
Site Index ◽  
Permanent Plots ◽  
Height Prediction ◽  
Direct Seeded ◽  
Stand Height ◽  
Pinus Taeda L ◽  
Longleaf Pines

Abstract Site index equations were developed for direct-seeded loblolly pine (Pinus taeda L.) and longleaf pine (Pinus palustris Mill.) based on data from 148 and 75 permanent plots, respectively. These plots varied from 0.053 to 0.119 ac in size, and were established in broadcast, row, and spot seeded stands throughout Louisiana. The Bailey and Clutter (1974) model was selected for stand height prediction. Site index curves are presented for both species based on these equations. These site index models should provide satisfactory short-term height projection for direct-seeded loblolly and longleaf pine stands in Louisiana. South. J. Appl. For. 21(3):134-138.

scholarly journals A Height–Diameter Curve for Longleaf Pine Plantations in the Gulf Coastal Plain

2009 ◽  
Vol 33 (4) ◽  
pp. 164-170 ◽  
Author(s):  
Daniel Leduc ◽  
Jeffery Goelz
Keyword(s):  
Longleaf Pine ◽  
Pinus Palustris ◽  
Tree Height ◽  
Growth And Yield ◽  
Average Height ◽  
Yield Model ◽  
Gulf Region ◽  
Volume Calculation ◽  
Sigmoidal Curve ◽  
Quadratic Mean Diameter

Abstract Tree height is a critical component of a complete growth-and-yield model because it is one of the primary components used in volume calculation. To develop an equation to predict total height from dbh for longleaf pine (Pinus palustris Mill.) plantations in the West Gulf region, many different sigmoidal curve forms, weighting functions, and ways of expressing height and diameter were explored. Most of the functional forms tried produced very similar results, but ultimately the form developed by Levakovic was chosen as best. Another useful result was that scaling diameters by the quadratic mean diameter on a plot and height by the average height of dominant and codominant trees in the target stand resulted in dramatically better fits than using these variables in their raw forms.

Multiscale modeling of longleaf pine (Pinus palustris)

2007 ◽  
Vol 37 (11) ◽  
pp. 2080-2089 ◽  
Author(s):  
E. Louise Loudermilk ◽  
Wendell P. Cropper
Keyword(s):  
United States ◽  
Matrix Model ◽  
Fire Regime ◽  
Landscape Connectivity ◽  
Longleaf Pine ◽  
Pinus Palustris ◽  
The United States ◽  
Sensitivity Analyses ◽  
Modeling Framework ◽  
Landis Model

There are few remaining longleaf pine ( Pinus palustris Mill.) ecosystems left in the southeastern coastal plain of the United States. Restoration and maintenance of these remaining habitats requires an understanding of ecosystem processes at multiple scales. The focus of this study was to develop and evaluate a modeling framework for analyzing longleaf pine dynamics at the spatially explicit landscape scale and at the spatially implicit population scale. The landscape disturbance and succession (LANDIS) model was used to simulate landscape fire dynamics in a managed forest in north-central Florida. We constructed a density-dependent longleaf pine population matrix model using data from a variety of studies across the southeastern United States to extend an existing model. Sensitivity analyses showed that the most sensitive parameters were those from the original pine model, which was based on extensive observations of individual trees. A hybrid approach integrated the two models: the fire frequencies output from the LANDIS model were input to the matrix model for specific longleaf pine populations. These simulations indicated that small isolated longleaf pine populations are more vulnerable to fire suppression and that landscape connectivity is a critical concern. A frequent prescribed fire regime is nonetheless necessary to maintain even large longleaf pine sandhill communities that have better landscape connectivity.

scholarly journals Modeling dominant height growth using permanent plot data for Pinus brutia stands in the Eastern Mediterranean region

2021 ◽  
Vol 30 (1) ◽  
pp. eSC03
Author(s):  
Tammam Suliman ◽  
Uta Berger ◽  
Marieke Van der Maaten-Theunissen ◽  
Ernst Van der Maaten ◽  
Wael Ali
Keyword(s):  
Mediterranean Region ◽  
Eastern Mediterranean ◽  
Eastern Mediterranean Region ◽  
Site Index ◽  
Permanent Plots ◽  
Stand Age ◽  
Pinus Brutia ◽  
Dominant Height ◽  
Algebraic Difference ◽  
Generalized Algebraic Difference Approach

Aim of the study: At current, forest management in the Eastern Mediterranean region is largely based on experience rather than on management plans. To support the development of such plans, this study develops and compares site index equations for pure even-aged Pinus brutia stands in Syria using base-age invariant techniques that realistically describe dominant height growth.Materials and methods: Data on top height and stand age were obtained in 2008 and 2016 from 80 permanent plots capturing the whole range of variation in site conditions, stand age and stand density. Both the Algebraic Difference Approach (ADA) and the Generalized Algebraic Difference Approach (GADA) were used to fit eight generalized algebraic difference equations in order to identify the one which describes the data best. For this, 61 permanent plots were used for model calibration and 19 plots for validation.Main results: According to both biological plausibility and model accuracy, the so-called Sloboda equation based on the GADA approach showed the best performance.Research highlights: The study provides a solid classification and comparison of Pinus brutia stands growing in the Eastern Mediterranean region and can thus be used to support sustainable forest management planning.Keywords: site index; Generalized Algebraic Difference Approach (GADA); Sloboda equation.

A Site-Index Function for Naturally Regenerated Longleaf Pine in the East Gulf Area

1981 ◽  
Vol 5 (3) ◽  
pp. 150-153 ◽  
Author(s):  
Robert M. Farrar
Keyword(s):  
Longleaf Pine ◽  
Pinus Palustris ◽  
Site Index ◽  
Index Function ◽  
Naturally Regenerated Stands ◽  
A Site

Abstract A site-index function is presented for naturally regenerated stands of longleaf pine (Pinus palustris Mill.) in the East Gulf area. The equation resulted in minimum average differences in consecutive site-index estimates five years apart in 170 stands, when compared to two equations currently in use.

Stem-profile Functions for Predicting Multiple-Product Volumes in Natural Longleaf Pines

1987 ◽  
Vol 11 (3) ◽  
pp. 161-167 ◽  
Author(s):  
Robert M. Farrar
Keyword(s):  
Computer Program ◽  
Longleaf Pine ◽  
Pinus Palustris ◽  
Gulf Region ◽  
Multiple Product ◽  
Longleaf Pines

Abstract The stem-profile (taper) functions presented for natural longleaf pine (Pinus palustris Mill.) trees growing in the East Gulf region, when integrated, permit the prediction of volume between any two heights on a stem for three broad crown-ratio classes. Conversely, by iteration, thevolume between any two diameters on a stem can be predicted. The functions generally predict cubic-foot volumes that are within ± 0.5 ft³ of observed volume and account for at least 98% of the variation in observed volume. Comparisons are made with some existing D³H and volume-ratiovolume equations. Also, example applications of the functions are given along with an announcement (in the Appendix) of a computer program to evaluate the functions for cubic-foot volume. South. J. Appl. For. 11(3):161-167.

scholarly journals Power Laws in Cone Production of Longleaf Pine across Its Native Range in the United States

2017 ◽  
Vol 6 (4) ◽  
pp. 64 ◽  
Author(s):  
Xiongwen Chen ◽  
Qinfeng Guo ◽  
Dale G. Brockway
Keyword(s):  
United States ◽  
Longleaf Pine ◽  
Pinus Palustris ◽  
Power Laws ◽  
The United States ◽  
Native Range ◽  
Scaling Exponents ◽  
Ecosystem Monitoring ◽  
Scaling Properties ◽  
Cone Production

Longleaf pine (Pinus palustris Mill.) forests in the southeastern United States are considered endangered ecosystems, because of their dramatic decrease in area since European colonization and poor rates of recovery related to episodic natural regeneration. Sporadic seed production constrains restoration efforts and complicates sustainable management of this species. Previous studies of other tree species found invariant scaling properties in seed output. Here, using long-term monitoring data for cone production at seven sites across the native range of longleaf pine, we tested the possible presence of two types of power laws. Findings indicate that (i) the frequency distribution of cone production at seven sites, from 1958 to 2014, follows power law relationships with high level of significance; (ii) although there is no general trend in the dynamics of scaling exponents among all sites, there are dynamics of scaling exponents at each site, with sudden changes in scaling exponents generally corresponding to the years of higher or lower cone production; and (iii) Taylor’s power laws explain cone production at different locations, but the scaling exponents vary among these. Results from this computational approach provide new insight into the irregular cone production of longleaf pine at spatial and temporal scales. Integrated ecosystem monitoring will be necessary to more fully understand future changes in cone production. 

scholarly journals A New Site Index Model for Intensively Managed Loblolly Pine (Pinus taeda) Plantations in the West Gulf Coastal Plain

2019 ◽  
Author(s):  
Kynda R Trim ◽  
Dean W Coble ◽  
Yuhui Weng ◽  
Jeremy P Stovall ◽  
I-Kuai Hung
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Coastal Plain ◽  
Site Index ◽  
The United States ◽  
Pine Plantations ◽  
Permanent Plots ◽  
Gulf Coastal Plain ◽  
The West ◽  
Intensively Managed

Abstract Site index (SI) estimation for loblolly pine (Pinus taeda L.) plantations is important for the successful management of this important commercial tree species in the West Gulf Coastal Plain of the United States. This study evaluated various SI models for intensively managed loblolly plantations in the West Gulf Coastal Plain using data collected from permanent plots installed in intensively managed loblolly pine plantations across east Texas and western Louisiana. Six commonly used SI models (Cieszewski GADA model, both Chapman-Richards ADA and GADA models, both Schumacher ADA and GADA models, and McDill-Amateis GADA model) were fit to the data and compared. The Chapman-Richards GADA model and the McDill-Amateis GADA model were similar and best in their fit statistics. These two models were further compared to the existing models (Diéguez-Aranda et al. 2006 (DA2006), Coble and Lee 2010 (CL2010)) commonly used in the region. Both the Chapman-Richards GADA and the McDill-Amateis GADA models consistently predicted greater heights up to age 25 than the models of DA2006 and CL2010, with larger height differences for the higher quality sites, but predicted shorter heights thereafter. Ultimately, the McDill-Amateis GADA model was chosen as the best model for its consistency in predicting reasonable heights extrapolated beyond the range of the data. Foresters can use this model to make more informed silvicultural prescriptions for intensively managed loblolly pine plantations in the West Gulf Coastal Plain.

Public and forest landowner attitudes towards longleaf pine ecosystem restoration using prescribed fire

2020 ◽  
Vol 50 (9) ◽  
pp. 917-924 ◽  
Author(s):  
Jason S. Gordon ◽  
John L. Willis ◽  
Robert K. Grala
Keyword(s):  
Ecological Restoration ◽  
Public Interest ◽  
Prescribed Fire ◽  
Longleaf Pine ◽  
Pinus Palustris ◽  
The United States ◽  
Future Research ◽  
Small Scale ◽  
Private Forests ◽  
Southeastern Us

Once dominant across the United States (US) Southeastern Coastal Plain, the longleaf pine (Pinus palustris Mill.) ecosystem covers a fraction of its historic geographic range. Restoration efforts have largely occurred on public lands, while most private forests feature alternative pine species. A better understanding of public interest in ecological restoration is critical to sustained efforts and successes. This research examines both forest landowner and general public interest in longleaf pine restoration. Results contribute to research on the social dimensions of ecological restoration, much of which has focused on small-scale projects rather than landscape-scale initiatives. In addition, this study addresses the lack of knowledge regarding factors driving attitudes towards ecological restoration other than demographic and psychometric variables. We employed a telephone survey of 2700 participants across eight states in the southeastern US in the historical range of longleaf pine. A majority of respondents supported restoration as a general goal and were supportive of the use of prescribed fire as a restoration practice. Place attachment, knowledge about longleaf pine, and age were among the significant predictors of restoration support. Findings have implications for future research focusing on sociocultural influences of restoration projects, as well as expanded public support for restoration of fire-maintained ecosystems.

Assessment of natural regeneration of longleaf pine (Pinus palustris) 15 years post-regeneration control

2021 ◽  
Author(s):  
Zhaofei Fan ◽  
W. Keith Moser ◽  
Cameron Poyner ◽  
Shaoyang Yang ◽  
Sunil Nepal ◽  
...  
Keyword(s):  
Natural Regeneration ◽  
Longleaf Pine ◽  
Basal Area ◽  
Pinus Palustris ◽  
Site Index ◽  
Stand Age ◽  
Quadratic Mean ◽  
Wide Range ◽  
Grass Stage ◽  
Quadratic Mean Diameter

We assessed natural regeneration of longleaf pine (Pinus palustris Mill.) using the data col-lected from the Escambia Experimental Forest in southern Alabama. Fifteen years following the regeneration control, natural regeneration of longleaf remained patchy across a wide range of site/stand conditions, with slightly more than half of all plots containing regeneration, but the den-sity of seedlings and saplings varied significantly. The abundance of seedlings ≤ 1-year-old was positively related to stand age and time since last fire, but negatively related to overstory basal area. The abundance of seedlings and saplings was positively related to stand age, but negatively related to time since last fire and overstory basal area. The probability of achieving ≥ 15,000 seedlings > 1-year-old but ≤ 1-m-tall ha-1 and ≥ 1,250 saplings > 1-m-tall ha-1 was, respectively, positively related to the ratio of time since last fire to overstory basal area and the ratio of quadratic mean diameter to site index. A longer fire interval (> two to three years) should be adopted to naturally regenerate longleaf. We did not find clear zones of exclusion present in natural regeneration even though over-story trees, seedlings and saplings tended to be repulsive spatially and > 80% grass stage seedlings and saplings occurred outside tree crowns.

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