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( Roscinto Ian C. Lumbres ),( Jennifer A. Palaganas ),( Sheryll C. Micosa ),( Elvira D. Besic ),( Kenneth A. Laruan ),( Chung Weon Yun ),( Young Jin Lee ) 한국임학회 2010 한국산림과학회지 Vol.99 No.5
This study was conducted to assess the existing flora and fauna, and to develop a spatial map of Alapang communal forest located in the province of Benguet, Philippines. A total of 52 species belonging to 27 families were identified during the inventory in this communal forest using the quadrat method while a total of 30 species belonging to 18 families were recorded using line intercept technique for the assessment of grasses, herbs, vines and other low-lying vegetation. The diversity index of the species in Alapang communal forests using the quadrat method was 2.6649 while for the line intercept technique it was 2.5446. The most dominant species in this area was found to be Pinus kesiya Royle ex Gordon (Benguet pine) under Family Pinaceae with an importance value of 106.74%. In the faunal assessment, four species of birds and a small mammal particularly a rodent were identified during the study. Aside from the high species diversity of this communal forest, the presence of endemic and indicator species in the area denotes that this forest was still in good condition hence must be protected. Spatial maps and database system were generated based from data gathered in the field using Geographic Information System (GIS).
Roscinto Ian C. Lumbres,이영진 한국산림과학회 2014 Forest Science And Technology Vol.10 No.2
This study was conducted to estimate the aboveground biomass (AGB) of the La Trinidad forests in Benguet, Philippines,using the following data: Landsat Thematic Mapper, forest map, and field data, utilizing the k-nearest neighbor method. A total of 35 plots were established in the Pinus kesiya forests of La Trinidad, Benguet. The root mean square error andbias of the different k values ranging from 1 to 20 and horizontal reference area (HRA) ranging from 4 km to 7 km weredetermined. Results of the evaluation showed that the optimum k value and HRA were 4 and 7 km, respectively. Thesevalues were used for AGB estimation, and results showed that the mean AGB of the La Trinidad forests was 240.46Mg/ ha,which is higher than the previous studies that estimated the AGB of Pinus kesiya forests in other areas in the Philippines. Overall accuracy was also determined using the confusion matrix and results showed that the overall accuracy was 56%. It issuggested that the AGB map for Pinus kesiya could provide baseline information for considering the carbon-sink potential ofthis forest, which is essential for sustainable forest management of tropical forests.
Roscinto Ian C. Lumbres,이영진,윤충원,구창덕,김세빈,손영모,이경학,원현규,정성철,서연옥 한국산림과학회 2015 Forest Science And Technology Vol.11 No.3
Diameter at breast height (DBH)-height models were developed and validated for Acacia mangium and Eucalyptus pellita species in the tree plantation of Pangkalan Bun, central Kalimantan, Indonesia, using the six commonly used nonlinear growth models. A total of 2992 and 4511 total height and DBH measurements were used for A. mangium and E. pellita species, respectively. These data were randomly split into two datasets. The majority of the data (80%) were used for the initial model development and the remaining data (20%) were applied for model validation. The combined data (100%) were used for the final model development. For model validation, the bias (E) for each DBH class (5 cm interval) and the overall bias were determined. The performance of the developed models were evaluated and ranked using the coefficient of determination (R2), root mean square error (RMSE), bias, absolute mean difference (AMD) and Furnival index (FI). The Weibull model had the best performance followed by the Chapman-Richards model in predicting the total height of A. mangium species and for E. pellita, the Korf/Lundqvist and Chapman-Richards models were the best models based on the evaluation statistics and rank analysis.
Development and validation of nonlinear height–DBH models for major coniferous tree species in Korea
Roscinto Ian C. Lumbres,이영진,서연옥,김성호,최정기,이우균 한국산림과학회 2011 Forest Science And Technology Vol.7 No.3
This study was conducted to develop and validate the height–diameter at breast height (DBH) models for the three Pinus and one Larix species in South Korea using the six widely used nonlinear growth functions. The data collected from the 5th National Forest Inventory (NFI) of South Korea from the 2007 to 2008 measurement dataset were used in this study. A total of 11,693 total height and diameter measurements of the trees were used and split into two datasets. Of the dataset 80% was used for the initial parameters estimation of the six models, whereas the remaining 20% were applied to the model validation. On the other hand, the combined dataset (100%) was used for the final model fitting. The performance of the developed models was evaluated and ranked using the coefficient of determination (R²), root mean square error (RMSE), mean difference (MD) and absolute mean difference (AMD). The results showed that the R² of all six models for the four species ranged from 0.93 to 0.96. The lowest RMSE was 2.351 whereas the highest was 3.309. On the other hand, the overall MD ranged from 70.006 m to 0.044 m whereas the AMD ranged from 1.855 m to 2.626 m. Based on these four criteria, all six models were able to determine the height–DBH relationship and fitted the data well. The Modified Logistic and Korf/Lundqvist performed best compared with the other models using rank analysis. The equations developed for predicting the total height were used for the biomass estimation. With the exception of the Schnute model, all models provided similar results for all species, particularly for trees with less than 50 cm.
Lumbres, Roscinto Ian C.,Palaganas, Jennifer A.,Micosa, Sheryll C.,Besic, Elvira D.,Laruan, Kenneth A.,Yun, Chung-Weon,Lee, Young-Jin Korean Society of Forest Science 2010 한국산림과학회지 Vol.99 No.5
This study was conducted to assess the existing flora and fauna, and to develop a spatial map of Alapang communal forest located in the province of Benguet, Philippines. A total of 52 species belonging to 27 families were identified during the inventory in this communal forest using the quadrat method while a total of 30 species belonging to 18 families were recorded using line intercept technique for the assessment of grasses, herbs, vines and other low-lying vegetation. The diversity index of the species in Alapang communal forests using the quadrat method was 2.6649 while for the line intercept technique it was 2.5446. The most dominant species in this area was found to be Pinus kesiya Royle ex Gordon (Benguet pine) under Family Pinaceae with an importance value of 106.74%. In the faunal assessment, four species of birds and a small mammal particularly a rodent were identified during the study. Aside from the high species diversity of this communal forest, the presence of endemic and indicator species in the area denotes that this forest was still in good condition hence must be protected. Spatial maps and database system were generated based from data gathered in the field using Geographic Information System (GIS).
Development of stem taper equations for Pinus kesiya in Benguet province, Philippines
Roscinto Ian C. Lumbres,이영진,표정기 한국산림과학회 2014 Forest Science And Technology Vol.10 No.1
This study was conducted to develop stem taper models for Pinus kesiya in Benguet Philippines, using four stem taperequations. Fit index (FI), root mean square error (RMSE), bias (E) and absolute mean difference (AMD) were used as statisticalcriteria to evaluate the performance of these four models. Results showed that the Kozak88 taper equation providedthe best FI and RMSE with 0.98911 and 2.6391, respectively. The Kozak01 model had the best mean bias with an overprediction of 0.0050 cm while MB76 had the highest mean bias of 0.2100 cm. Kozak88 also provided the best AMD with1.9140 cm. The overall ranking analysis showed that the Kozak88 model had the best performance and the Kozak02 modelwas considered as the second best model. These stem taper equations can help forest managers in predicting the diameteroutside bark (DOB) and merchantable stem volumes of the standing trees of Pinus kesiya in Benguet, Philippines, which isimportant in growth and yield estimation.
Height-age model and site index curves for Acacia mangium and Eucalyptus pellita in Indonesia
Roscinto Ian C. Lumbres,서연옥,손영모,Nova D. Doyog,이영진 한국산림과학회 2018 Forest Science And Technology Vol.14 No.2
Height-age growth models and site index curves were developed for the site quality evaluation of Acacia mangium Willd and Eucalyptus pellita F. Muel stands in Korintiga Hutani plantation, Pangkalan Bun, Central Kalimantan, Indonesia. In this study, the Chapman-Richards growth function was used in the guide curve method to generate anamorphic site index curves for the two species. In order to evaluate the developed models, coefficient of determination (R2), root mean square error (RMSE), bias (E), absolute mean difference (AMD), and mean percent bias (MPB) were used as statistical criteria. In addition, a simple linear regression and simultaneous F-test was performed to evaluate the relationship of the observed and the predicted dominant height of each species. Based on the statistical evaluations, simple linear regression and F-test models developed for the two species showed satisfactory results. Furthermore, the developed models explained about 98.35% and 98.60% of the total variation in the estimate of total dominant height for Acacia mangium and Eucalyptus pellita, respectively. The developed site index curves are expected to be significant for forest managers in predicting the growth patterns and classifying the site productivities of the different stands in Korintiga Hutani plantation.
Roscinto Ian C. Lumbres,이영진,Feliciano G. Calora Jr,Marissa R. Parao 한국산림과학회 2013 Forest Science And Technology Vol.9 No.1
This study was conducted to develop tree height–diameter at breast height (DBH) models for Pinus kesiya Royle ex Gordon (Benguet pine) in Benguet Province, Philippines, using six commonly used nonlinear growth models. A total of 1809 total height and DBH measurements were used and randomly split into two datasets. The majority of the measurements (80%) were used for initial parameter estimation of the six models, whereas the remaining 20% were applied to validate the models. The combined data (100%) were used for the final model fitting. Mean difference (MD) for each DBH class (10 cm interval) and the overall MD were determined for model validation. Results of the validation showed that the Modified Logistic model had the best overall MD with 0.15300 m, whereas the Schnute model had the highest prediction error with 0.17000 m. The performance of the developed models was evaluated and ranked using the coefficient of determination (R2), root mean square error (RMSE), MD, absolute mean difference (AMD) and Furnival index (FI). Based on this evaluation, all six models were able to determine the height–DBH relationship and fitted the data well, but the Modified Logistic and Exponential growth models had the best performance evaluation results.