Development of crown profile model for Pinus cooperi Blanco in the UMAFOR 1008, Durango, Mexico

Soto-Cervantes, Jesús Alejandro; López-Sánchez, Carlos A.; Corral-Rivas, José Javier; Wehenkel, Christian; González, Juan Gabriel Álvarez; Crecente-Campo, Felipe

doi:10.5154/r.rchscfa.2015.09.040

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…In the study of Gao et al [11,15], the lowest whorl that had at least one live branch was defined as the crown base. Therefore, we also used the simple polynomial equation, similar to the study of Crecente-Campo et al [9], Dong et al [12], and Sotocervantes et al [46]. The power-exponential equation has yet to be used in crown profile modeling.…”

Section: Discussionmentioning

confidence: 99%

Using Linear Mixed-Effects Models with Quantile Regression to Simulate the Crown Profile of Planted Pinus sylvestris var. Mongolica Trees

Sun¹,

Gao²,

Li³

2017

Forests

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Abstract:Crown profile is mostly related to the competition of individual trees in the stands, light interception, growth, and yield of trees. A total of 76 sample trees with a total number of 889 whorls and 3658 live branches were used to develop the outer crown profile model of the planted Pinus sylvestris var. mongolica trees in Heilongjiang Province, China. The power-exponential equation, modified Kozak equation, and simple polynomial equation were used and the model which showed the best performance was used as the basic model. The dummy variable approach was used to analyze the effect of stand age and stand density on the crown profile. Quantile regression for linear mixed-effects model, where the correlations between the series measurements on the same subject were considered, was used to model the outer crown profile. The results indicated that the power-exponential equation had the smallest error and was used as the basic model. Based on the dummy variable approach, stand age and stand density showed significant effects on the crown profile on the whole. Thus, they were directly included into the linear form of the power-exponential equation by a natural logarithm transformation to develop the quantile regression for the linear mixed-effects model. The 0.95th quantile regression model performed best in modeling the outer crown profile when compared to other quantiles. The prediction accuracy of the 0.95th quantile regression model by adding the random effects increased when compared to the quantile regression without random effect. The quantile regression for the linear mixed-effects model also showed an excellent performance in the largest crown radius prediction when compared to the quantile regression model. From suppressed trees to dominant trees, the crown radius increased, with tree size increasing for the same stand age and stand density increases. The crown radius of the suppressed trees from 21 to 40 year stands was the largest and the smallest was from older (>40 years) stands. The crown radius for both the intermediate and dominant trees from 21 to 40 year stands were similar and were larger than the younger (10-20 years) stands. The crown radius increased with tree size when the stand variables were constant. Furthermore, the crown radius increased with the increase of stand age, decreased with increasing stand density, and decreased with increased ratio of tree height to diameter at the breast height (HD) for trees with the same tree variables. Stand density had a weaker effect on the crown profile when compared to the HD. The growth rate of the crown radius of planted Pinus sylvestris var. mongolica trees increased with increasing stand age, and decreased with decreasing stand density. The growth rate of the crown radius decreased with increasing HD.

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Section: Discussionmentioning

confidence: 99%

Using Linear Mixed-Effects Models with Quantile Regression to Simulate the Crown Profile of Planted Pinus sylvestris var. Mongolica Trees

Sun¹,

Gao²,

Li³

2017

Forests

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“…However, from the sixth year onwards, plant growth tends to decline, remaining low until the end of the study, being more noticeable in P. cooperi. Crecente-Campo et al (2007) documented that the decrease in plant growth is influenced among other factor by the competition that trees experience from other trees, and that competition increases with increasing age of the plantation (Soto-Cervantes et al, 2016). Although this work does not include an analysis that correlates ecological factors with tree growth, studies performed by Anchukaitis et al (2013), Gutiérrez-García & Ricker (2019, documented that maximum temperature negatively influences radial growth of the trees.…”

Section: Discussionmentioning

confidence: 92%

Peer Review #1 of "Survival, growth and carbon content in a forest plantation established after a clear-cutting in Durango, Mexico (v0.1)"

Rodríguez-Ortiz¹

2020

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Background. Forest plantations play an important role in carbon sequestration, helping to mitigate climate change. In this study, survival, biomass, growth rings and annual carbon content storage were evaluated in a mixed Pinus durangensis and P. cooperi plantation that was established after a clear-cutting. The plantation is eight years old and covers an area of 21.40 ha. Methods. Sixteen sites of 100 m 2 were distributed randomly. At each site, two trees distributed proportionally to the diametric categories were destructively sampled (one per tree species). Two cross-sections were cut from each tree: The first at the base of the stump and the second at 1.30 m. The width of tree rings of the first crosssection was measured using a stereoscopic microscope with precision in microns (μm). The year-by-year basal diameter of each tree was recorded and biomass and carbon content was estimated using allometric equations. Results. The estimated survival was 75.2%.The results of the ANOVA showed significant differences between the year-by-year width records of tree rings, the highest value corresponding to the fifth year. The average carbon sequestration per year is 0.30 kg for both studied tree species. Conclusions. P. durangensis and P. cooperi plantations adapt and develop well in Durango forests when they are established in areas that are subjected to clear-cutting.

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“…Subsequently, Dong et al [ 5 ] used this model and its modified form to generate the profile of Chinese fir, with fitting results of R 2 values of 0.765–0.885 for the entire crown and 0.658–0.939 for the upper crown. Soto-Cervantes et al [ 59 ] used six models containing the LCR to model the profile of Pinus cooperi Blanco, and the fitting results included R 2 values of 0.467–0.918 for the entire crown and 0.854–0.984 for the upper crown. These results indicate that the four reparameterized models we used well represent the available information on the crown shape of Larix olgensis obtained from the UAV-LiDAR data.…”

Section: Discussionmentioning

confidence: 99%

The Feasibility of Modelling the Crown Profile of Larix olgensis Using Unmanned Aerial Vehicle Laser Scanning Data

Qian

Zhen

et al. 2020

Sensors

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Unmanned aerial vehicle (UAV) laser scanning, as an emerging form of near-ground light detection and ranging (LiDAR) remote sensing technology, is widely used for crown structure extraction due to its flexibility, convenience, and high point density. Herein, we evaluated the feasibility of using a low-cost UAV-LiDAR system to extract the fine-scale crown profile of Larix olgensis. Specifically, individual trees were isolated from LiDAR point clouds and then stratified from the point clouds of segmented individual tree crowns at 0.5 m intervals to obtain the width percentiles of each layer as profile points. Four equations (the parabola, Mitscherlich, power, and modified beta equations) were then applied to model the profiles of the entire and upper crown. The results showed that a region-based hierarchical cross-section analysis algorithm can successfully delineate 77.4% of the field-measured trees in high-density (>2400 trees/ha) forest stands. The crown profile generated with the 95th width percentile was adequate when compared with the predicted value of the existing field-based crown profile model (the Pearson correlation coefficient (ρ) was 0.864, root mean square error (RMSE) = 0.3354 m). The modified beta equation yielded slightly better results than the other equations for crown profile fitting and explained 85.9% of the variability in the crown radius for the entire crown and 87.8% of this variability for the upper crown. Compared with the cone and 3D convex hull volumes, the crown volumes predicted by our profile models had significantly smaller errors. The results revealed that the crown profile can be well described by using UAV-LiDAR, providing a novel way to obtain crown profile information without destructive sampling and showing the potential of the use of UAV-LiDAR in future forestry investigations and monitoring.

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Development of crown profile model for Pinus cooperi Blanco in the UMAFOR 1008, Durango, Mexico

Cited by 9 publications

References 20 publications

Using Linear Mixed-Effects Models with Quantile Regression to Simulate the Crown Profile of Planted Pinus sylvestris var. Mongolica Trees

Using Linear Mixed-Effects Models with Quantile Regression to Simulate the Crown Profile of Planted Pinus sylvestris var. Mongolica Trees

Peer Review #1 of "Survival, growth and carbon content in a forest plantation established after a clear-cutting in Durango, Mexico (v0.1)"

The Feasibility of Modelling the Crown Profile of Larix olgensis Using Unmanned Aerial Vehicle Laser Scanning Data

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