scholarly journals Basal area growth models for Eucalyptus tereticornis Smith stands on the Colombian Atlantic coast

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Alonso Barrios-Trilleras ◽  
Ana Milena López-Aguirre
Keyword(s):  
Goodness Of Fit ◽  
Prediction Models ◽  
Growth Models ◽  
Basal Area ◽  
Eucalyptus Tereticornis ◽  
Competition Index ◽  
Important Species ◽  
Dominant Height ◽  
Basal Area Growth ◽  
Area Growth

Eucalyptus tereticornis is an important species used in reforestation programs in Colombia. Information on the dynamics and development of the E. tereticornis stands is required to improve management planning. This study compares nine basal area growth models, evaluating their goodness of fit and prediction, and describes their linkage to a thinning response model for E. tereticornis plantations. The evaluated models showed a good fit to the data, the R2adj ranged between 0.90 - 0.92 and 0.69 - 0.86 for the basal area projection and prediction models, respectively. The root of the mean square error (RMSE) ranged between 1.080 m2 ha-1 - 1.343 m2 ha-1 for basal area projection models and 1.671 m2 ha-1 - 2.206 m2 ha-1 for basal area prediction models. The selected basal area model for unthinned stands depends on the age, stand density, and dominant height. For the thinned stands, the basal area was predicted using a competition index that depends on the age and the dominant height of the stand. The competition index had an R2adj = 0.87, and a standard error of estimate of 0.031%. The system of equations presented a slight tendency to overestimate with a mean error of -0.14 m2 ha-1 and a RMSE of 0.696 m2 ha-1. This way, the developed models have the potential to be applied to unthinned and thinned stands with different ages, productivity, and planting densities. The developed models provide new tools to support forest management and research of the species growing in plantations.

A New Index Representing Individual Tree Competitive Status

1973 ◽  
Vol 3 (4) ◽  
pp. 495-500 ◽  
Author(s):  
James A. Moore ◽  
Carl A. Budelsky ◽  
Richard C. Schlesinger
Keyword(s):  
Spatial Distribution ◽  
Strong Correlation ◽  
Basal Area ◽  
Tree Size ◽  
Competition Index ◽  
Individual Tree ◽  
Silvicultural Practices ◽  
Basal Area Growth ◽  
Hardwood Species ◽  
Area Growth

A new competition index, modified Area Potentially Available (APA), was tested in a complex unevenaged stand composed of 19 different hardwood species. APA considers tree size, spatial distribution, and distance relationships in quantifying intertree competition and exhibits a strong correlation with individual tree basal area growth. The most important characteristic of APA is its potential for evaluating silvicultural practices.

scholarly journals Species Mixing Effects on Height–Diameter and Basal Area Increment Models for Scots Pine and Maritime Pine

Forests ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 249 ◽  
Author(s):  
José Riofrío ◽  
Miren del Río ◽  
Douglas Maguire ◽  
Felipe Bravo
Keyword(s):  
Scots Pine ◽  
Tree Growth ◽  
Growth Models ◽  
Basal Area ◽  
Maritime Pine ◽  
Basal Area Increment ◽  
Mixing Effects ◽  
Basal Area Growth ◽  
Area Growth ◽  
Species Mixtures

Models that incorporate known species-mixing effects on tree growth are essential tools to properly design silvicultural guidelines for mixed-species stands. Here, we developed generalized height–diameter (h-d) and basal area growth models for mixed stands of two main forest species in Spain: Scots pine (Pinus sylvestris L.) and Maritime pine (Pinus pinaster Ait.). Mixed-effects models were fitted from plot measurement and tree rings data from 726 Scots pine and 693 Maritime pine trees from mixed and pure stands in the Northern Iberian Range in Spain, with the primary objective of representing interactions between the species where they are interspersed in mixtures of varying proportions. An independent dataset was used to test the performance of the h-d models against models previously fitted for monospecific stands of both species. Basal area increment models were evaluated using a 10-fold block cross-validation procedure. We found that species mixing had contrasting effects on the species in both models. In h-d models, the species-mixing proportion determined the effect of species interactions. Basal area growth models showed that interspecific competition was influential only for Maritime pine; however, these effects differed depending on the mode of competition. For Scots pine, tree growth was not restricted by interspecies competition. The combination of mixed-effect models and the inclusion of parameters expressing species-mixing enhanced estimates of tree height and basal area growth compared with the available models previously developed for pure stands. Although the species-mixing effects were successfully represented in the fitted models, additional model components for accurately simulating the stand dynamics of mixtures with Scots pine and Maritime pine and other species mixtures require similar model refinements. Upon the completion of analyses required for these model refinements, the degree of improvement in simulating growth in species mixtures, including the effects of different management options, can be evaluated.

scholarly journals Distance-independent tree basal area growth models for Norway spruce, Douglas-fir and Japanese larch in Southern Belgium

2016 ◽  
Vol 136 (2) ◽  
pp. 193-204 ◽  
Author(s):  
Jérôme Perin ◽  
Hugues Claessens ◽  
Philippe Lejeune ◽  
Yves Brostaux ◽  
Jacques Hébert
Keyword(s):  
Norway Spruce ◽  
Growth Models ◽  
Basal Area ◽  
Douglas Fir ◽  
Japanese Larch ◽  
Basal Area Growth ◽  
Area Growth

A review of stand basal area growth models

2007 ◽  
Vol 9 (1) ◽  
pp. 85-94 ◽  
Author(s):  
Hong-gang Sun ◽  
Jian-guo Zhang ◽  
Ai-guo Duan ◽  
Cai-yun He
Keyword(s):  
Growth Models ◽  
Basal Area ◽  
Basal Area Growth ◽  
Area Growth ◽  
Stand Basal Area

scholarly journals Application and limitations of growth models for silvicultural purposes in heterogeneously structured forest in Sweden

2013 ◽  
Vol 59 (No. 11) ◽  
pp. 458-473 ◽  
Author(s):  
L. Drössler ◽  
N. Fahlvik ◽  
B. Elfving
Keyword(s):  
Growth Models ◽  
Basal Area ◽  
Single Tree ◽  
Growth Functions ◽  
Basal Area Growth ◽  
Area Growth ◽  
Single Tree Selection ◽  
Spruce Stands ◽  
Selection Forest ◽  
Using Data

The paper addresses the problem of estimating future stand development in heterogeneously structured forests in Sweden; specifically, multi-layered spruce stands and mature pine stands with advanced spruce undergrowth. We first introduce various supporting concepts and models with their empirical databases, model validation and constraints. Secondly, Swedish single-tree growth functions designed for more heterogeneously structured forest are tested using data from inventory plots, a thinning experiment in an uneven-aged forest stand, and yield plots in pristine forest. Future growth of a managed, multi-layered forest was simulated and is compared with other selected functions. Simulation results, expected errors and time constraints are discussed. For most models, projected stand basal area growth deviated 10–20% from the observed growth in individual stands. In single stands, the deviation ranged from 0 to 60%. Validation periods were often 5–15 years, sometimes even more than 30 years. For Swedish single-tree basal area growth functions, on average, a 5% overestimate was found for heterogeneously structured forest across Sweden. Observed growth in a boreal single-tree selection forest was underestimated by 12.5% fifteen years after thinning from above.

scholarly journals Individual-Tree Basal Area Growth, Survival, and Total Height Models for Upland Hardwoods in the Boston Mountains of Arkansas

1998 ◽  
Vol 22 (3) ◽  
pp. 184-192 ◽  
Author(s):  
Paul A. Murphy ◽  
David L. Graney
Keyword(s):  
Growth Models ◽  
Basal Area ◽  
Permanent Plots ◽  
Test Model ◽  
Individual Tree ◽  
Basal Area Growth ◽  
Area Growth ◽  
Tree Models ◽  
Quadratic Mean Diameter ◽  
Mean Differences

Abstract Models were developed for individual-tree basal area growth, survival, and total heights for different species of upland hardwoods in the Boston Mountains of north Arkansas. Data used were from 87 permanent plots located in an array of different sites and stand ages; the plots were thinned to different stocking levels and included unthinned controls. To test these three tree models, stand development for 5 and 10 yr were simulated in terms of stand basal area/ac, numbers of trees/ac, and quadratic mean diameter. Percent mean differences for the three variables indicated no serious biases. A long-term projection of 100 yr to test model reasonableness showed development that would be consistent with these stands. These equations provide forest managers the first upland hardwood individual-tree growth models specifically for this region. South. J. Appl. For. 22(3):184-192.

scholarly journals Evaluation of the basal area growth models in the Finnish stand simulator MOTTI with data from the Estonian network of permanent forest growth plots / Soome puistukasvusimulaatori MOTTI rinnaspindala juurdekasvumudelite prognoositäpsuse hindamine Eesti metsa kasvukäigu püsiproovitükkide võrgustiku mõõtmisandmete põhjal

2011 ◽  
Vol 55 (1) ◽  
pp. 80-97
Author(s):  
Ando Lilleleht ◽  
Allan Sims ◽  
Andres Kiviste ◽  
Jari Hynynen ◽  
Mika Lehtonen
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Growth Models ◽  
Model Performance ◽  
Basal Area ◽  
Forest Growth ◽  
Tree Level ◽  
Basal Area Growth ◽  
Area Growth

Abstract Forest management has become a more complex issue than it has ever been before. Foresters need to fulfill the demands of several interest groups, often which are conflicting. Finding the balance between different management objectives can be facilitated with the use of decision support systems. Since no decision support systems have been developed in Estonia, the aim of this study is to assess the applicability of the Finnish stand growth simulator MOTTI in Estonia. The evaluation focuses on the basal area growth models; the data used originates from the Estonian network of permanent forest growth plots. Tree-level bias models were constructed for all major tree species in order to assess model performance. Also, bias was examined visually with the use of residual plots. Results show that bias levels and variables which contribute to bias differ by species. Based on the fit statistics of the bias models, Common aspen shows the highest bias level whereas the growth of Gray alder seems to be predicted most accurately. Although model performance is decent for a model that is used outside of its application limits, calibration should still be considered as a prerequisite to implement the MOTTI system in Estonian forestry practice.

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