Radial variation of Cunninghamia lanceolata in different aged forests and its response to meteorological factors

doi:10.12302/j.issn.1000-2006.201904026

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (2): 135-144.doi: 10.12302/j.issn.1000-2006.201904026

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Radial variation of Cunninghamia lanceolata in different aged forests and its response to meteorological factors

LIU Yajing(), ZHOU Lai, ZHANG Bo, CHEN Liping, PAN Lei, SUN Yujun^*()

State Forestry Administration Key Laboratory of Forest Resources & Environmental Management, Beijing Forestry University, Beijing 100083, China

Received:2019-04-12 Accepted:2020-04-24 Online:2021-03-30 Published:2021-04-09
Contact: SUN Yujun E-mail:15501120312@163.com;sunyj@bjfu.edu.cn

Abstract

Abstract:

【Objective】The study of tree growth mechanisms can provide an important foundation for dendrophology and reconstruction of high-resolution environmental evolution history. By analyzing the response characteristics of radial growth of trees in different ages to climate on an hourly basis,superior survival strategies can be developed for trees monitored at different ages.【Method】In the Jiangle National Forest Farm of Fujian Province, a band-dendrometer was used to monitor Cunninghamia lanceolata within forests of different ages from July 2017 to July 2018. The maximum radial growth was extracted using the maximum method, and the cumulative radial variation was simulated using the Gompertz model to analyze the annual radial variation characteristics of C. lanceolata and its response to meteorological factors.【Result】During the growing season, the daily radial changes at different ages of C. lanceolata showed similar periodicity, including systolic period, expansion recovery period and increase period. The daily radial variation of different forest ages was diverse and the daily amplitude increased with the increase in forest age. The annual growth period of C. lanceolata is relatively long, and the growth period of different ages of C. lanceolata increased gradually with the increase in forest age, but at the beginning of the growing season an opposite effect was observed. The growing seasons were as follows: early February to late October (young forest); late February to September (middle-aged forest); early March to late July (near-mature forest); and C. lanceolata did not grow in mature forests. The growth rate reached the maximum at the end of May, the beginning of May, and the end of April, respectively, in each growing season. The sensitivity of the radial growth of C. lanceolata to meteorological factors at different forest ages showed a downward trend. The growth of C. lanceolata in young forests was mainly affected by precipitation, minimum temperature, average temperature, and average relative humidity. The growth of C. lanceolata in middle-aged forests is mainly affected by precipitation and minimum relative humidity. There was no significant correlation between meteorological factors and the radial growth of C. lanceolata in near-mature and mature forests.【Conclusion】In the context of future climate change, alterations in meteorological factors may gradually affect stands in younger forests. Therefore, the management strategies used for C. lanceolata plantations in Jianle County should be adjusted to local conditions, and forest management measures should be adopted for C. lanceolata forests based on the age of the forest.

Key words: Cunninghamia lanceolate, stem radial variations, growing season, forest age, meteorological factor, Jiangle Fujian Province

CLC Number:

S791.247

LIU Yajing, ZHOU Lai, ZHANG Bo, CHEN Liping, PAN Lei, SUN Yujun. Radial variation of Cunninghamia lanceolata in different aged forests and its response to meteorological factors[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(2): 135-144.

Figures/Tables 9

Table 1

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Table 2

Statistical information of regression equation"

样木林 samples	逐步回归模型 stepwise regression model	R²	$R adj 2$
幼龄林 young forest	Y₁=-49.606+0.595P-3.050T_min-1.852T_max+4.643T_mean+0.844 $H mea n$	0.484 1	0.466 4
中龄林 middle aged forest	Y₂=-72.774+0.526P-1.332 T_min +1.380 T_max+0.589 $H mea n$ +0.502H_min	0.412 0	0.391 9
近熟林 near-mature forest	Y₃=-66.267 2+0.313 4P+1.043 5H_mean	0.273 9	0.264 1
成熟林 mature forest	Y₄=43.894 28+0.145 33P+0.519 10H_mean	0.290 3	0.275 9

Table 2

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样地 sample plot	平均胸径/ cm average DBH	平均树高/m average tree height	林龄/a year	地位指数 status index	坡度/(°) slope	坡向 aspect	海拔/m altitude	郁闭度 crown density	林分密度/ (株·hm^-2) stand density
幼龄林 young forest	10.2	9.5	10	16	34	南偏东40°	218	0.8	2 700
中龄林 middle aged forest	18.6	14.4	15	18	29	南偏西10°	195	0.9	2 125
近熟林 near-mature forest	19.8	16.6	25	18	33	南偏东29°	210	0.9	1 900
成熟林 mature forest	21.7	18.8	35	16	32	南偏东27°	220	0.8	1 883

Radial variation of Cunninghamia lanceolata in different aged forests and its response to meteorological factors

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