Diverse scaling relationships of tree height and diameter in five tree species

In the tropical rainforests of Jambi, Sumatera, a particular group of epiphytes, species in the genus Hoya, have significant potential to be developed as commercially valuable ornamental plants, because of the uniqueness and beauty of their flowers. Hoya spp. are epiphytic vines whose survival depends largely on the presence of carrier trees, i.e. phorophyte trees. The study reported here was conducted to identify the level of epiphytic association between phorophyte trees and identified Hoya species. The study found four Hoya species, namely: Hoya rintzii, Hoya revoluta, Hoya coronaria, and Hoya cf. caudata. The four species of Hoya were found growing on eleven different species of phorophyte trees. Based on the results of t-contingency tables it was found that there is no association between particular Hoya species and the particular phorophyte tree species. This conclusion was supported by the calculation of Jaccard association indices demonstrating that the association between Hoya spp. and phorophyte tree species is relatively weak. Crown cover and the diameter of the tree are two habitat variables that affect the presence of Hoya revoluta at the sites. The presence of Hoya caudata was influenced by the variable temperature, while the presence of Hoya coronaria was associated with humidity, but the degree of association was relatively weak. The most significant variables affecting the presence of Hoya rintzii were tree height and elevation.Key word: association, ephyphites, Hoya spp, phorophyte.

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Phenotyping Architecture Traits of Tree Species Using Remote Sensing Techniques

Transactions of the ASABE ◽

10.13031/trans.14419 ◽

2021 ◽

Vol 64 (5) ◽

pp. 1611-1624

Author(s):

Worasit Sangjan ◽

Sindhuja Sankaran

Keyword(s):

Remote Sensing ◽

Structure From Motion ◽

Tree Species ◽

Tree Height ◽

Tree Canopy ◽

System Structure ◽

List Type ◽

Canopy Architecture ◽

Chemical Application ◽

Canopy Volume

HighlightsTree canopy architecture traits are associated with its productivity and management.Understanding these traits is important for both precision agriculture and phenomics applications.Remote sensing platforms (satellite, UAV, etc.) and multiple approaches (SfM, LiDAR) have been used to assess these traits.3D reconstruction of tree canopies allows the measurement of tree height, crown area, and canopy volume.Abstract. Tree canopy architecture is associated with light use efficiency and thus productivity. Given the modern training systems in orchard tree fruit systems, modification of tree architecture is becoming important for easier management of crops (e.g., pruning, thinning, chemical application, harvesting, etc.) while maintaining fruit quality and quantity. Similarly, in forest environments, architecture can influence the competitiveness and balance between tree species in the ecosystem. This article reviews the literature related to sensing approaches used for assessing architecture traits and the factors that influence such evaluation processes. Digital imagery integrated with structure from motion analysis and both terrestrial and aerial light detection and ranging (LiDAR) systems have been commonly used. In addition, satellite imagery and other techniques have been explored. Some of the major findings and some critical considerations for such measurement methods are summarized here. Keywords: Canopy volume, LiDAR system, Structure from motion, Tree height, UAV.

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Tree species diversity in the forest of Renikhayong para village in Bandarban, Bangladesh: a case study

Journal of Biodiversity Conservation and Bioresource Management ◽

10.3329/jbcbm.v5i2.44922 ◽

2020 ◽

Vol 5 (2) ◽

pp. 115-126 ◽

Cited By ~ 1

Author(s):

M Jannat ◽

M Kamruzzaman ◽

MA Hossain ◽

MK Hossain

Keyword(s):

Species Diversity ◽

Tree Species ◽

Diversity Index ◽

Sustainable Use ◽

Tree Height ◽

Diversity Indices ◽

Tree Species Diversity ◽

Height Range ◽

Hill District ◽

Number Of Individuals

The study was conducted to explore tree species diversity of Renikhayong para Village Common Forest (VCF) of Bandarban hill district. Stratified random sampling was carried out to assess the tree species diversity of the VCF. Renikhayong Para VCF with an area of 40 acres of land has more than 85 tree species belonging to 31 families, where Euphorbiaceae family was dominant containing 11 species followed by Rubiaceae (7 species), Moraceae (7 species), Meliaceae (5 species), Mimosaceae (5 species), Combretaceae (4 species), Lauraceae (4 species) and Anacardiaceae (3 species). Dominant tree species was Grewia nervosa. Renikhayong para VCF has diverse floristic resources that are known from the Shannon-Wiener’s diversity index (4.007), Simpson’s diversity index (0.028), Margalef’s richness index (13.21) and Species evenness index (0.90). However, number of species and number of individuals both were highest in the height range of 5 - <10 m. Similar trend was observed in dbh classes. Number of individuals were highest in dbh range of 5 - <15 cm and the lowest in ≥ 55 cm. The results depict the presence of maximum small trees in the VCF and decreasing the number of trees with the increase of tree height (m) and dbh (cm). Presence of diverse tree species and diversity indices indicate the importance and potential of the VCF for conservation and sustainable use. J. Biodivers. Conserv. Bioresour. Manag. 2019, 5(2): 115-126

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Regional Height–Diameter Equations for Major Tree Species of Southwest Oregon

Western Journal of Applied Forestry ◽

10.1093/wjaf/22.3.213 ◽

2007 ◽

Vol 22 (3) ◽

pp. 213-219 ◽

Cited By ~ 30

Author(s):

Hailemariam Temesgen ◽

David W. Hann ◽

Vincente J. Monleon

Keyword(s):

Relative Position ◽

Tree Species ◽

Basal Area ◽

Stand Density ◽

Tree Height ◽

Individual Tree ◽

Fit Statistics ◽

Alternative Measures ◽

Southwest Oregon ◽

Accuracy Of Prediction

Abstract Selected tree height and diameter functions were evaluated for their predictive abilities for major tree species of southwest Oregon. Two sets of equations were evaluated. The first set included four base equations for estimating height as a function of individual tree diameter, and the remaining 16 equations enhanced the four base equations with alternative measures of stand density and relative position. The inclusion of the crown competition factor in larger trees (CCFL) and basal area (BA), which simultaneously indicates the relative position of a tree and stand density, into the base height–diameter equations increased the accuracy of prediction for all species. On the average, root mean square error values were reduced by 45 cm (15% improvement). On the basis of the residual plots and fit statistics, two equations are recommended for estimating tree heights for major tree species in southwest Oregon. The equation coefficients are documented for future use.

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Height-Diameter Equations for Ten Tree Species in the Inland Northwest

Western Journal of Applied Forestry ◽

10.1093/wjaf/11.4.132 ◽

1996 ◽

Vol 11 (4) ◽

pp. 132-137 ◽

Cited By ~ 15

Author(s):

James A. Moore ◽

Lianjun Zhang ◽

Dean Stuck

Keyword(s):

Tree Species ◽

Small Diameter ◽

Tree Height ◽

The Other ◽

Prediction Errors ◽

Validation Data ◽

Individual Tree ◽

Major Species ◽

Inland Northwest ◽

Prognosis Model

Abstract Individual tree height-diameter equations were developed for ten major species in the inland Northwest. The Wykoff function in the Stand Prognosis Model and the Lundqvist function were fit to data which included many large-sized trees. The two models fit the data equally well for all species. Prediction results using the existing Prognosis equation, the refitted Wykoff function, and the Lundqvist function showed that the three models predicted similar heights for trees of small diameter. However, both the refitted Wykoff function and the Lundqvist function predicted larger tree heights for trees with dbh greater than 20 in. for most species. The estimated heights for tree diameters of 70 or 80 in. from the Lundqvist function were closer to the observed "asymptotic" tree heights than the other two. The Lundqvist function showed lower prediction errors for the validation data for the majority of the tree species, especially for large-sized trees. West. J. Appl. For. 11(4):132-137.

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Development and Testing of a New Ground Measurement Tool to Assist in Forest GIS Surveys

Forests ◽

10.3390/f10080643 ◽

2019 ◽

Vol 10 (8) ◽

pp. 643 ◽

Cited By ~ 2

Author(s):

Guangpeng Fan ◽

Feixiang Chen ◽

Yan Li ◽

Binbin Liu ◽

Xu Fan

Keyword(s):

Root Mean Square Error ◽

Mobile Phone ◽

Mean Square Error ◽

Tree Species ◽

Tree Height ◽

Measurement Tool ◽

Mean Square ◽

Height Measurement ◽

Test Dataset ◽

Ground Measurement

In present forest surveys, some problems occur because of the cost and time required when using external tools to acquire tree measurement. Therefore, it is of great importance to develop a new cost-saving and time-saving ground measurement method implemented in a forest geographic information system (GIS) survey. To obtain a better solution, this paper presents the design and implementation of a new ground measurement tool in which mobile devices play a very important role. Based on terrestrial photogrammetry, location-based services (LBS), and computer vision, the tool assists forest GIS surveys in obtaining important forest structure factors such as tree position, diameter at breast height (DBH), tree height, and tree species. This paper selected two plots to verify the accuracy of the ground measurement tool. Experiments show that the root mean square error (RMSE) of the position coordinates of the trees was 0.222 m and 0.229 m, respectively, and the relative root mean square error (rRMSE) was close to 0. The rRMSE of the DBH measurement was 10.17% and 13.38%, and the relative Bias (rBias) of the DBH measurement was −0.88% and −2.41%. The rRMSE of tree height measurement was 6.74% and 6.69%, and the rBias of tree height measurement was −1.69% and −1.27%, which conforms to the forest investigation requirements. In addition, workers usually make visual observations of trees and then combine their personal knowledge or experience to identify tree species, which may lead to the situations when they cannot distinguish tree species due to insufficient knowledge or experience. Based on MobileNets, a lightweight convolutional neural network designed for mobile phone, a model was trained to assist workers in identifying tree species. The dataset was collected from some forest parks in Beijing. The accuracy of the tree species recognition model was 94.02% on a test dataset and 93.21% on a test dataset in the mobile phone. This provides an effective reference for workers to identify tree species and can assist in artificial identification of tree species. Experiments show that this solution using the ground measurement tool saves time and cost for forest resources GIS surveys.

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Forest regeneration in northeastern Poland following a catastrophic blowdown

Canadian Journal of Forest Research ◽

10.1139/cjfr-2014-0507 ◽

2015 ◽

Vol 45 (9) ◽

pp. 1172-1182 ◽

Cited By ~ 9

Author(s):

Dorota Dobrowolska

Keyword(s):

Species Diversity ◽

Tree Species ◽

Natural Regeneration ◽

Large Scale ◽

Stand Structure ◽

Basal Area ◽

Tree Height ◽

Ground Cover ◽

Species Structure ◽

Tree Vitality

The aims of the investigation were to (i) quantify the changes in natural regeneration and stand structure, (ii) determine the role of deadwood in the process of regeneration following the disturbance, and (iii) determine the effect of disturbance severity on tree recruitment. The study was conducted in the Szast Protected Forest, which was established after a blowdown in 2002. The results showed that the trees were mainly wind-snapped. The basal area of the slightly disturbed stands increased over time. Herb cover increased, whereas moss cover decreased in 2011. The disturbance severity influenced the density of tree species regeneration, moss and herb ground cover, species diversity, average tree height, tree vitality, and damage caused by herbivores. The density of natural regeneration increased and new species became established after the disturbance. Scots pine (Pinus sylvestris L.) was the dominant tree species during the regeneration process except in the severely disturbed stand from which wood had been removed; in this case, birch was the dominant species. Wind disturbance increased species diversity and created a new forest with a particular species structure and trees that varied in age and height. The results of this study will be useful for foresters and policymakers to change the existing approaches to large-scale disturbances in the Polish forests.

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