Development and Application of Tree Radial Measurement Device
Abstract
:1. Introduction
2. Device Development
2.1. Mechanical Structural Design
2.2. Circuit Design
2.2.1. Master Module
2.2.2. Communication Timing Module
2.2.3. Data Acquisition and Storage Module
2.2.4. Power Module
2.3. Principle of the Device
2.3.1. Principle of Operation of the Device
2.3.2. Sensor Selection
2.3.3. Magneto-Resistive Effect
2.3.4. Principle of Diameter Calculation
2.3.5. Principle of Accuracy Calculation
3. Software Design
4. Testing and Analysis
4.1. Trial Sites and Subjects
4.1.1. Sample Plot Selection
- (1)
- Sample plots are reasonably distributed and representative of mixed broadleaf and mixed conifer forests;
- (2)
- Good communication conditions around the monitoring sample sites.
4.1.2. Sample Tree Selection
4.2. Analysis of Monitoring Data
4.2.1. Analysis of the Growth Process of Single Wood Diameter at Breast Height
4.2.2. Accurate Calculation of Carbon Sinks for Individual Trees
5. Results
- (1)
- In this paper, a low-power, high-precision tree breast diameter continuous measurement device is developed. A high-resolution and low-cost processing algorithm is proposed based on the magneto-resistive effect and, combined with the self-developed electromechanical structure design, it realizes the conversion of mechanical rotation into electrical signals, which is then converted into the amount of change in the diameter of the chest. The matching system software was also developed for the visual analysis of tree diameter at breast height and carbon sinks as well as data management functions such as storage and uploading. It has been verified that the device has the characteristics of low power consumption, portable structure, strong anti-interference, etc. The outdoor working hours can last for more than 12 months. Through the traditional tree diameter measurement method, the tree diameter tape measure is utilized to measure the tree diameter, the measurement results are compared with the measured value of the device, and the monitoring error is calculated to be within 0.1%. The frequency of data acquisition is set at 1 h, and the data is saved locally, while real-time data is transmitted to the host computer platform every 12 h.
- (2)
- Data analysis shows that the overall growth pattern of trees is roughly the same, the rapid growth period of trees in the test area is roughly from late April to early July, and the dormant period of trees is from October to February of the following year. Combined with its environmental factors, it can be concluded that there is a correlation between changes in tree diameter at breast height and temperature and relative humidity. A 4.87 m tall tree with a diameter at breast height of 126.4 mm in the test area increased carbon sinks by 0.005427 from March to September, which can absorb the carbon emissions of a car traveling for one day.
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Tree Species | Monitoring Values | Actual Measured Value | Oscillometric Error |
---|---|---|---|
Cedar | 86.449 | 87 | −0.551 |
Symplocos lucida | 78.201 | 78.8 | −0.599 |
Quercus fabri Hance | 61.231 | 62.1 | −0.869 |
Metasequoia | 134.417 | 134.1 | 0.317 |
Emmenopterys henryi | 111.099 | 111.4 | −0.301 |
Maple | 79.387 | 79.9 | −0.513 |
Wood lotus | 130.82 | 131.5 | −0.68 |
Albizzia julibrissin | 101.139 | 101.5 | −0.361 |
Pinus massoniana | 219.084 | 219.7 | −0.616 |
Lindera glauca | 54.399 | 54.9 | −0.501 |
Number | Tree Species | DBH (mm) | Tree Height (m) | Crown Width (m) |
---|---|---|---|---|
1 | Maple | 77.43 | 3.95 | 3.6 |
2 | Wood lotus | 126.45 | 4.87 | 3.3 |
Tree Species | Carbon Sinks by Month (Tons) | Total Carbon Sink Enhancement (Tons) | ||||||
---|---|---|---|---|---|---|---|---|
March | April | May | June | July | August | September | ||
Maple | 0.0000772 | 0.0003089 | 0.0003862 | 0.0009657 | 0.0007725 | 0.0005794 | 0.0002575 | 0.003862 |
Wood lotus | 0.0001085 | 0.0004342 | 0.0005427 | 0.001628 | 0.001302 | 0.0009768 | 0.0004342 | 0.005427 |
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Zhao, K.; Li, S.; Wang, J.; Sun, L.; Fang, L.; Ji, J. Development and Application of Tree Radial Measurement Device. Forests 2024, 15, 1710. https://doi.org/10.3390/f15101710
Zhao K, Li S, Wang J, Sun L, Fang L, Ji J. Development and Application of Tree Radial Measurement Device. Forests. 2024; 15(10):1710. https://doi.org/10.3390/f15101710
Chicago/Turabian StyleZhao, Kejie, Shangyang Li, Jie Wang, Linhao Sun, Luming Fang, and Jingyong Ji. 2024. "Development and Application of Tree Radial Measurement Device" Forests 15, no. 10: 1710. https://doi.org/10.3390/f15101710
APA StyleZhao, K., Li, S., Wang, J., Sun, L., Fang, L., & Ji, J. (2024). Development and Application of Tree Radial Measurement Device. Forests, 15(10), 1710. https://doi.org/10.3390/f15101710