基于活立木茎干含水量的杨树生长状态评估模型构建

doi:10.11707/j.1001-7488.20210505

Abstract

Abstract:

Objective: At present, the evaluation system for human life and health has been very mature, but there is no scientifical and mature evaluation standard for plant life. In this article, we intend to construct a model that can reflect the growth status of plants by analyzing the stem moisture information collected by the stem moisture sensor of living standing trees, and to provide a model basis and solution ideas for building a assessment system of plant life status in the future. Method: The stem moisture data of poplars were collected from 2017 to 2018.The annual plant growth status was divided into: germination stage, growth stage, defoliation stage, and dormancy period, and the moisture content of plant stems at each stage was analyzed. Then, the principal component analysis of multi-dimensional environmental data was carried out, and the maxmum principal component PC1 and the stem moisture data of the standing trees were selected for further analysis. Anellipse model of plant stem water moisture was proposed to evaluate the status of plant vital signs. Result: In the germination stage, the stem moisture content of poplars increased. The average daily value was 20% at the beginning of April, and increased to 43% at the end of April. The daily variation amplitude was 5%-8%.The daily average value of stem water in July was stable at 50%.The change was affected by the weather, and the differencein daily variation was obvious, with a maximum of 9% and a minimum of 1%.The stem moisture decreased gradually from the average value of 46.9% at the beginning of October to 42.8% at the end of the month, and the daily variation amplitude decreased to 4%.During the dormant period, the water freezed and thawed due to low temperature, and the stem moisture fluctuated drastically. The minimum value in December was 12%, the maximum value was 42%, and the daily variation amplitude was up to 20%. An elliptic curve was fitted for different growth stages of plants. The fitting results showed that the change pattern of stem water in spring germination period and winter dormancy period was similar, and the elliptical inclination is < 0°, which was negatively correlated with PC1 changes. The changes of stem moisture in summer growth period and autumn defoliation period were similar, which was positively correlated with PC1 changes. Among them, the plants in the growing period were less affected by the environment, and the absolute value of the elliptical inclination was the smallest. The inclination and rotation direction can be used to infer the lead-lag relationship between stem moisture and environmental parameters. The stem moisture in the germination and dormancy periods lagged behind the environmental parameters, and the stem moisture in the growing and defoliating stages was ahead of the environmental parameters. Conclusion: The stem water content-based growth state assessment proposed in this paper provides a new research direction for the research of plant vital signs. The four-stage ellipse fitting curve has higher discrimination, which can be used as a criterion for plant growth status. Based on this, a more perfect plant physiological evaluation system can be further studied and applied to actual production and life.

Key words: stem moisture, growth state, principal component analysis, ellipse fitting

CLC Number:

S711

Weiping Liu,Wei Song,Chao Gao,Yandong Zhao. Construction of Evaluation Model of Poplar Growth Status Based on Stem Moisture of Standing Trees[J]. Scientia Silvae Sinicae, 2021, 57(5): 43-52.

Figures/Tables 16

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主成分 Principal component	特征值 Eigenvalues	贡献率 Contribution rate(%)
PC1	915.97	81.98
PC2	185.34	16.59
PC3	15.86	1.41
PC4	0.15	0.02

参数种类 Type	特征系数 Characteristic coefficient
空气温度Air temperature	-0.163 2
空气湿度Air humidity	0.920 7
光合有效辐射Photosynthetically active radiation	-0.354 4
饱和水气压差Vapor pressure deficit	-0.001 1

参数类型Type	A	B	S	T	θ>
萌芽期Germination	14.888 6	1.919 7	-43.019 7	33.601 6	-9.040 4°
生长期Growth	27.825 8	2.397 5	-18.455 9	47.523 3	6.039 4°
落叶期Defoliation	6.762 2	0.880 5	37.740 8	42.528 9	8.569 7°
休眠期Dormancy	26.393 9	3.702 5	1.842 6	18.075 6	-8.238 7°

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Construction of Evaluation Model of Poplar Growth Status Based on Stem Moisture of Standing Trees

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