Characteristics and factors driving the variations in bark thickness of major woody plants in China

Nie, Wen; Liu, Yifu; Tan, Cancan; Wang, Ya; Liu, Jianfeng; Zhao, Xiulian; Jiang, Zeping; Jia, Zirui

doi:10.1016/j.ecolind.2022.109447

Cited by 5 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, aligning with standard results requires debarking adjustments. Bark thickness on timber is significantly influenced by spatial and climatic factors and their interactions [26]. Additionally, it tends to increase with the diameter of the timber [27].…”

Section: Diameter Detectionmentioning

confidence: 99%

Design and Implementation of an Intelligent Log Diameter Grading and Sorting Line Based on Machine Vision

Ding,

Gong,

Kong

et al. 2024

Forests

View full text Add to dashboard Cite

In order to address the challenges posed by elevated manual labor costs and limited automation in traditional log diameter grading and sorting processes, this paper centers on the design and research of an intelligent log diameter grading and sorting line utilizing machine vision. The study focuses on logs with smaller diameters located in Fujian province, China. By analyzing production requirements, the study formulates the structure of the feeding, alignment, detection, and sorting zones to fulfill sorting functions. Using the YOLOv5 model, the system achieves accurate log end face positioning, and the diameter is computed through a designated algorithm. The operational process of the system is examined, and the control logic governing the production line is elucidated. Evaluating the practical performance of the production line, the study assesses the accuracy of diameter recognition, precision in grading, and operational efficiency. The results reveal that the absolute error in diameter detection for the sorting line averages 1.12 mm, with sorting accuracy exceeding 95%. The sorting line can automatically categorize logs with diameters ranging from 60 mm to 300 mm and lengths ranging from 2 m to 6 m, achieving an annual sorting capacity of 120,000 to 130,000 cubic meters. The research findings illustrate that the system fulfills the industry’s demands for log diameter grading and sorting, thereby enhancing economic efficiency for enterprises.

show abstract

Section: Diameter Detectionmentioning

confidence: 99%

Design and Implementation of an Intelligent Log Diameter Grading and Sorting Line Based on Machine Vision

Ding,

Gong,

Kong

et al. 2024

Forests

View full text Add to dashboard Cite

show abstract

“…These findings are similar to those of Rosell's global-scale study [1], which identified stem size as the primary driver of bark thickness variation, with environmental factors playing a lesser role. Moreover, investigations into bark thickness in major Chinese woody plants indicated a correlation between biomass accumulation and soil fertility, temperature, and seasonal precipitation fluctuations [21]. Indeed, species-level studies have mostly concluded that the genetic and developmental characteristics of plants can have a major impact on trait differentiation, sometimes outweighing the influence of environmental factors [20,48].…”

Section: Environmental Factors Affecting Bark Thicknessmentioning

confidence: 99%

“…The growth of plant organs is influenced by geographical distribution, soil, climate, and other environmental factors [20,21]. Bark thickness fundamentally arises from growth and the accumulation of biomass.…”

Section: Introductionmentioning

confidence: 99%

Variation and Driving Mechanisms of Bark Thickness in Larix gmelinii under Surface Fire Regimes

Zhu,

Liu,

et al. 2024

Forests

View full text Add to dashboard Cite

Bark is vital for woody plants, providing protection, transporting nutrients and water, and storing essential resources. For fire-prone ecosystems, bark thickness is a key adaptive trait conferring fire resistance. Few studies have been conducted on the drivers of variation in bark thickness of the widely distributed Larix gmelinii (Rupr.) Kuzen in the Great Xing’an Mountains region, on the southern edge of East Siberia, where surface fire disturbances are frequent. To elucidate the relationships between variation in bark thickness (inner vs. outer bark) of L. gmelinii and plant size, environmental factors, and co-variation with other fire-tolerance traits, we selected 26 sites to set up plots and carried out a survey and bark sampling. Results showed that stem diameter primarily determines variation in bark thickness, especially outer bark. The proportion of outer bark to total bark increased accordingly as the tree increased in size. We also observed stronger correlated variation in outer bark thickness, tree height, and self-pruning capacity, implying that larger trees have thicker protective outer bark and taller heights with greater self-pruning, mitigating crown fire risks. Environmental factors appear to have a relatively limited effect on changes in bark thickness in L. gmelinii. Mean air temperature, annual precipitation, and total soil nitrogen content had some effect on outer bark thickness, and mean air temperature had some effect on inner bark thickness.

show abstract

Plant trait approach to assess the vulnerability of Rhododendron arboreum in western Himalayas

Pandey,

Rawat,

Singh

et al. 2024

Environmental and Sustainability Indicators

View full text Add to dashboard Cite

Characteristics and factors driving the variations in bark thickness of major woody plants in China

Cited by 5 publications

References 39 publications

Design and Implementation of an Intelligent Log Diameter Grading and Sorting Line Based on Machine Vision

Design and Implementation of an Intelligent Log Diameter Grading and Sorting Line Based on Machine Vision

Variation and Driving Mechanisms of Bark Thickness in Larix gmelinii under Surface Fire Regimes

Plant trait approach to assess the vulnerability of Rhododendron arboreum in western Himalayas

Contact Info

Product

Resources

About