小兴安岭红松胸高断面积生长随树龄的变化规律及主要影响因素

doi:10.11707/j.1001-7488.LYKX20210721

Abstract

Abstract:

Objective: This study was aimed to understand the age-related tree basal area growth pattern of Korean pine (Pinus koraiensis), and explore the main factors affecting the radial growth in different growth stages, in order to provide a scientific basis for understanding the importance of tree age, environmental factors and functional traits in forest development and management. Method: 65 sample trees of P. koraiensis were selected from Liangshui National Nature Reserve in Heilongjiang Province, and the radial growth of tree stems was studied using the basal area growth rate (BAGR). We determined the environmental factors (light intensity, soil nitrogen content, soil water content, soil pH) and functional traits of leaves, branches, and roots. Then we analyzed the radial growth variation and explored how tree age, environmental factors, and functional traits affect the radial growth at different growth stages. Result: 1) The BAGR of P. koraiensis first increased and then decreased with rising tree age: when the age was less than 220 years, the BAGR increased with rising tree age. When it was more than 220 years old, the BAGR decreased with rising tree age. 2) For young trees (16-100 a), tree age, light intensity and soil pH had a positive effect on BAGR, the specific leaf area of needles had a negative effect on BAGR. 3) For middle-age trees (100-220 a), soil nitrogen content and wood density (WD) significantly and negatively affected the BAGR. 4) For old trees (220-285 a), tree age significantly inhibited the BAGR, the nitrogen content of roots, the nitrogen and phosphorus content per unit mass of needles promoted the BAGR, and the effect of root nitrogen content was more significant. Conclusion: Tree age, environmental factors and functional traits jointly drive the basal area growth of P. koraiensis trees, and the relative effects change with tree age. The factors limiting tree growth change from light to soil nutrient contents and physiological factors of trees with rising age.

Key words: Pinus koraiensis, basal area, radial growth, tree age, light intensity, soil nutrients, specific leaf area

CLC Number:

S758

Haotong Ma,Guangze Jin,Zhili Liu. Changes of Basal Area Growth of Pinus koraiensis with Tree Ages and Impact Factors in Xiaoxing’ anling Mountains, Northeast China[J]. Scientia Silvae Sinicae, 2023, 59(7): 96-105.

Figures/Tables 6

Fig.1

Table 1

Descriptive statistics for basal area growth rate (BAGR), tree age, environmental factors (light intensity, soil water concentration, soil nitrogen concentration, soil pH) and functional traits (leaf traits, branch traits, root traits) for P. koraiensis"

因子 Factors	幼龄树 Young tree (n=19)		中龄树 Middle-aged tree (n=35)		老龄树 Old tree (n=11)
因子 Factors	平均值(标准差) Mean (SD)	变异系数 CV (%)	平均值(标准差) Mean (SD)	变异系数 CV (%)	平均值(标准差) Mean (SD)	变异系数 CV (%)
胸高断面积生长率BAGR/ (cm²·a^?1)	2.54 (2.45)	97	23.29 (18.25)	78	35.84 (14.79)	41
树龄Tree age/ a	49 (27)	54	157 (29)	18	251 (22)	9
光照强度Light intensity/ (mol·m^?2d^?1)	3.77 (1.30)	34	4.93 (1.28)	26	5.42 (2.12)	39
土壤氮含量Soil N content/ (mg·g^?1)	5.91 (2.13)	37	7.52 (2.37)	31	6.42 (2.05)	32
土壤磷含量Soil P content/ (mg·g^?1)	0.81 (0.45)	59	1.09 (0.33)	31	0.94 (0.28)	30
土壤pH Soil pH	4.58 (0.70)	15	4.79 (0.57)	12	4.57 (0.68)	15
土壤含水量Soil water content/ (g·g^?1)	0.61 (0.23)	37	0.69 (0.26)	38	0.67 (0.23)	34
针叶寿命Needle longevity/ a	4.01 (1.07)	27	3.50 (1.07)	31	3.16 (1.08)	34
多年生针叶比叶面积Specific leaf area of old leave(SLA_old)/ (cm²·g^?1)	98.25 (11.33)	12	84.28 (8.09)	10	77.77 (5.00)	6
当年生针叶比叶面积Specific leaf area of current leave(SLA_current)/ (cm²·g^?1)	128.77 (22.15)	17	98.73 (12.61)	13	91.62 (12.39)	14
多年生针叶氮含量Nitrogen content of old leaves(LN_mass-old)/ (mg·g^?1)	15.87 (1.17)	7	16.32 (1.13)	7	16.10 (1.81)	11
当年生针叶氮含量Nitrogen content of current leaves(LN_mass-current)/ (mg·g^?1)	17.78 (1.27)	7	17.80 (1.18)	7	18.59 (2.13)	11
多年生针叶磷含量Phosphorus content of old leaves(LP_mass-old)/ (mg·g^?1)	2.14 (0.28)	13	2.06 (0.27)	13	2.22 (0.22)	9
当年生针叶磷含量Phosphorus content of current leaves(LP_mass-current)/ (mg·g^?1)	2.72 (0.43)	16	2.39 (0.34)	14	1.89 (0.17)	10
多年生枝木质密度Wood density of old branch(WD_old)/ (g·cm^?3)	0.43 (0.06)	15	0.49 (0.06)	13	0.53 (0.05)	9
当年生枝木质密度Wood density of current branch(WD_current)/ (g·cm^?3)	0.34 (0.08)	24	0.39 (0.11)	29	0.51 (0.14)	27
根氮含量Root nitrogen content(Root N)/ (mg·g^?1)	12.04 (1.82)	15	11.38 (1.06)	9	10.63 (1.33)	12
一级根比根长Specific root length(SRL)/ (m·g^?1)	34.08 (5.75)	17	39.41 (5.05)	13	40.65 (5.46)	13

Table 1

Fig.2

Table 2

Table 3

Table 4

References 0

	董伊晨, 刘艳红. 红松不同苗龄幼苗叶性状对温度和光照变化的响应. 生态学报, 2017, 37 (17): 5662- 5672.
	Dong Y C, Liu Y H. Changes in the response of leaf traits in Pinus koraiensis (Korean pine) seedlings of different ages to controlled temperatures and light conditions . Acta Ecologica Sinica, 2017, 37 (17): 5662- 5672.
	刘晓娟, 马克平. 植物功能性状研究进展. 中国科学(生命科学), 2015, 45 (4): 325- 339. doi: 10.1360/N052014-00244
	Liu X J, Ma K P. Plant functional traits—concepts, applications and future directions. Scientia Sinica (Vitae), 2015, 45 (4): 325- 339. doi: 10.1360/N052014-00244
	于　健, 刘琪璟, 周　光, 等. 小兴安岭红松和鱼鳞云杉径向生长对气候变化的响应. 应用生态学报, 2017, 28 (11): 3451- 3460.
	Yu J, Liu Q J, Zhou G, et al. Response of radial growth of Pinus koraiensis and Picea jezoensis to climate change in Xiaoxing’anling Mountains, Northeast China . Chinese Journal of Applied Ecology, 2017, 28 (11): 3451- 3460.
	Aerts R, Chapin F S. The mineral nutrition of wild plants revisited: a re-evaluation of processes and patterns. Advances in Ecological Research, 1999, 30, 1- 67.
	Asefa M, Song X Y, Cao M, et al. Temporal trait plasticity predicts the growth of tropical trees. Journal of Vegetation Science, 2021, 32 (4): e13056.
	Baker T R, Burslem D F R P, Swaine M D. Associations between tree growth, soil fertility and water availability at local and regional scales in Ghanian tropical rainforest. Journal of Tropical Ecology, 2003, 19, 109- 125. doi: 10.1017/S0266467403003146
	Bazot S, Fresneau C, Damesin C, et al. Contribution of previous year’s leaf N and soil N uptake to current year’s leaf growth in sessile oak. Biogeosciences, 2016, 13, 3475- 3484. doi: 10.5194/bg-13-3475-2016
	Borchert R. Soil and stem water storage determine phenology and distribution of tropical dry forest trees. Ecology, 1994, 75, 1437- 1449. doi: 10.2307/1937467
	Carrer M, Urbinati C. Age-dependent tree-ring growth responses to climate in Larix decidua and Pinus cembra . Ecology, 2004, 85 (3): 730- 740. doi: 10.1890/02-0478
	Cavaleri M A, Oberbauer S F, Clark D B, et al. Height is more important than light in determining leaf morphology in a tropical forest. Ecology, 2010, 91 (6): 1730- 1739. doi: 10.1890/09-1326.1
	Chen J M, Govind A, Sonnentag O, et al. Leaf area index measurements at Fluxnet-Canada forest sites. Agricultural and Forest Meteorology, 2006, 140 (4): 257- 268.
	Chen J M, Rich P M, Gower S T, et al. Leaf area index of boreal forests: theory, techniques, and measurements. Journal of Geophysical Research, 1997, 102, 29429- 29443. doi: 10.1029/97JD01107
	Coble A P, Cavaleri M A. Vertical leaf mass per area gradient of mature sugar maple reflects both height-driven increases in vascular tissue and light-driven increases in palisade layer thickness. Tree Physiology, 2017, 37 (10): 1337- 1351. doi: 10.1093/treephys/tpx016
	Colbert J J, Schuckers M, Fekedulegn D, et al. Comparing models for growth and management of forest tracts. Modelling Forest System, 2004, 39, 335- 346.
	Colenutt M E, Luckman B H. Dendrochronological investigation of Larix luallii at Larch Vallery, Alberta . Canadian Journal of Forest Research, 1991, 21 (8): 1222- 1233. doi: 10.1139/x91-171
	Condit R, Engelbrecht B, Pino D, et al. Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110 (13): 5064- 5068. doi: 10.1073/pnas.1218042110
	Dittmar C, Zech W, Elling W, et al. Growth variations of common beech (Fagus sylvatica L . ) under different climatic and environmental conditions in Europe- a dendroecological study. Forest Ecology and Management, 2003, 173 (3): 63- 78.
	Duchesne L, Ouimet R, Houle D. Basal area growth of sugar maple in relation to acid deposition, stand health and soil nutrients. Journal of Environmental Quality, 2002, 31, 1676- 1683. doi: 10.2134/jeq2002.1676
	Eimil F C, Sánchez R F, Álvarez R E, et al. Relationships between needle traits, needle age and site and stand parameters in Pinus pinaster . Trees, 2015, 29 (4): 1103- 1113. doi: 10.1007/s00468-015-1190-7
	Esper J, Niederer R, Bebi P, et al. Climate signal age effects-evidence from young and old trees in the Swiss Engadin. Forest Ecology and Management, 2008, 255 (11): 3783- 3789. doi: 10.1016/j.foreco.2008.03.015
	Falster D S, Duursma R A, Fitzjohn R G. How functional traits influence plant growth and shade tolerance across the life cycle. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115 (29): e6789- e6798.
	Frazer G W, Canham C D, Lertzman K P, et al. 2000. Gap Light Analyzer (GLA), version 2.0: image processing software to analyze true-color, hemispherical canopy photographs. Bulletin of the Ecological Society of America, 81: 191-197.
	Gilson A, Barthes L, Delpierre N, et al. Seasonal changes in carbon and nitrogen compound concentrations in a Quercus petraea chronosequence. Tree Physiology, 2014, 34 (7): 716- 729. doi: 10.1093/treephys/tpu060
	Hansen M C, Potapov P V, Moore R, et al. High-Resolution global maps of 21st-century forest cover change. Science, 2013, 342 (6160): 850- 853. doi: 10.1126/science.1244693
	Hérault B, Bachelot B, Poorter L, et al. Functional traits shape ontogenetic growth trajectories of rain forest tree species. Journal of Ecology, 2011, 99 (6): 1431- 1440. doi: 10.1111/j.1365-2745.2011.01883.x
	Holmes R L. Computer-assisted quality control in tree-ring dating and measurement. Tree-Ring Bulletin, 1983, 43, 69- 75.
	Iida Y, Poorter L, Sterck F, et al. Linking size-dependent growth and mortality with architectural traits across 145 co-occurring tropical tree species. Ecology, 2014, 95 (2): 353- 363. doi: 10.1890/11-2173.1
	Jump A S, Hunt J M, Penuelas J. Rapid climate change-related growth decline at the southern range edge of Fagus sylvatica . Global Change Biology, 2006, 12 (11): 2163- 2174. doi: 10.1111/j.1365-2486.2006.01250.x
	Kayama M, Sasa K, Koike T, et al. Needle life span, photosynthetic rate and nutrient concentration of Picea glehnii, P.jezoensis and P. abies planted on serpentine soil in northern Japan . . Tree Physiology, 2002, 22 (10): 707- 716. doi: 10.1093/treephys/22.10.707
	Kuusk V, Niinemets Ü, Valladares F, et al. A major trade-off between structural and photosynthetic investments operative across plant and needle ages in three Mediterranean pines. Tree Physiology, 2018, 38 (4): 543- 557. doi: 10.1093/treephys/tpx139
	Lander B, Margot W, Pieter D F, et al. Plasticity in response to phosphorus and light availability in four forest herbs. Oecologia, 2010, 163, 1021- 1032. doi: 10.1007/s00442-010-1599-z
	Lasky J R, Bachelot B, Muscarella R, et al. Ontogenetic shifts in trait-mediated mechanisms of plant community assembly. Ecology, 2015, 96 (8): 2157- 2169. doi: 10.1890/14-1809.1
	Leblanc D C, Raynal D J. Red spruce decline on Whiteface Mountain, New York. II. Relationships between apical and radial growth decline. Canadian Journal of Forest Research, 1990, 20 (9): 1415- 1421.
	Liu Z L, Chen J M, Jin G Z, et al. Estimating seasonal variations of leaf area index using litterfall collection and optical methods in four mixed evergreen-deciduous forests. Agricultural and Forest Meteorology, 2015, 209, 36- 48.
	Liu Z L, Hikosaka K, Li F R, et al. Variations in leaf economics spectrum traits for an evergreen coniferous species: Tree size dominates over environment factors. Functional Ecology, 2020, 34 (2): 458- 467. doi: 10.1111/1365-2435.13498
	Lusk C H, Warton D I. Global meta-analysis shows that relationships of leaf mass per area with species shade tolerance depend on leaf habit and ontogeny. New Phytologist, 2007, 176 (4): 764- 774. doi: 10.1111/j.1469-8137.2007.02264.x
	Lusk C H. Leaf area and growth of juvenile temperate evergreens in low light: species of contrasting shade tolerance change rank during ontogeny. Functional Ecology, 2004, 18 (6): 820- 828. doi: 10.1111/j.0269-8463.2004.00897.x
	Markesteijn L, Poorter L, Paz H, et al. Ecological differentiation in xylem cavitation resistance is associated with stem and leaf structural traits. Plant Cell and Environment, 2011, 34, 137- 148. doi: 10.1111/j.1365-3040.2010.02231.x
	Meinzer F C, Lachenbruch B, Dawson T E, et al. 2011. Size- and age-related changes in tree structure and function. Springer Dordrecht Heidelberg London New York.
	Micco V D, Carrer M, Rathgeber C B K, et al. From xylogenesis to tree rings: wood traits to investigate tree response to environmental changes. International Association of Wood Anatomists Journal, 2019, 40 (2): 155- 182.
	Millard P, Grelet G A. Nitrogen storage and remobilization by trees: ecophysiological relevance in a changing world. Tree Physiology, 2010, 30 (9): 1083- 1095. doi: 10.1093/treephys/tpq042
	Ogle K, Whitham T G, Cobb N S. Tree-ring variation in pinyon predicts likelihood of death following severe drought. Ecology, 2000, 81 (11): 3237- 3243. doi: 10.1890/0012-9658(2000)081[3237:TRVIPP]2.0.CO;2
	Poorter H, Niinemets Ü, Ntagkas N, et al. A meta-analysis of plant responses to light intensity for 70 traits ranging from molecules to whole plant performance. New Phytologist, 2019, 223 (3): 1073- 1105. doi: 10.1111/nph.15754
	Poorter L, Castilho C V, Schietti J, et al. Can traits predict individual growth performance? A test in a hyperdiverse tropical forest. New Phytologist, 2018, 219 (1): 109- 121. doi: 10.1111/nph.15206
	Rijkers T, Pons T L, Bongers F, et al. The effect of tree height and light availability on photosynthetic leaf traits of four neotropical species differing in shade tolerance. Functional Ecology, 2020, 14 (1): 77- 86.
	Rowland L, Costa A C, Galbraith D R, et al. Death from drought in tropical forests is triggered by hydraulics not carbon starvation. Nature, 2015, 528, 119- 122. doi: 10.1038/nature15539
	Rozas V, DeSoto L, Olano J M. Sex-specific, age-dependent sensitivity of tree-ring growth to climate in the dioecious tree Juniperus thurifera . New Phytologist, 2009, 182 (3): 687- 697. doi: 10.1111/j.1469-8137.2009.02770.x
	Santiago L S, Wright S J, Harms K E, et al. Tropical tree seedling growth responses to nitrogen, phosphorus and potassium addition. Journal of Ecology, 2012, 100 (2): 309- 316. doi: 10.1111/j.1365-2745.2011.01904.x
	Shen Y, Santiago L S, Shen H, et al. Determinants of change in subtropical tree diameter growth with ontogenetic stage. Oecologia, 2014, 175 (4): 1315- 1324. doi: 10.1007/s00442-014-2981-z
	Terashima I, Hanba Y T, Youshi T, et al. Irradiance and phenotype: comparative eco-development of sun and shade leaves in relation to photosynthetic CO₂ diffusion . Journal of Experimental Botany, 2005, 57 (2): 343- 354.
	Velázquez E, Wiegand T. 2020. Competition for light and persistence of rare light-demanding species within tree-fall gaps in a moist tropical forest. Ecology, e03034.
	Voltas J, Camarero J J, Carulla D, et al. A retrospective, dual-isotope approach reveals individual predispositions to winter-drought induced tree dieback in the southernmost distribution limit of Scots pine. Plant Cell and Environment, 2013, 36 (8): 1435- 1448. doi: 10.1111/pce.12072
	Wang Q W, Robson T M, Pieristè M, et al. Testing trait plasticity over the range of spectral composition of sunlight in forb species differing in shade tolerance. Journal of Ecology, 2020, 108 (5): 1923- 1940. doi: 10.1111/1365-2745.13384
	Wang X C, Zhang M H, Ji Y, et al. Temperature signals in tree-ring width and divergent growth of Korean pine response to recent climate warming in northeast Asia. Trees, 2016, 31 (2): 415- 427.
	Wright S J, Kitajima K, Kraft N J B, et al. Functional traits and the growth-mortality trade-off in tropical trees. Ecology, 2010, 91 (12): 3664- 3674. doi: 10.1890/09-2335.1
	Wu X D. 1990. Tree-Ring and Climate. Beijing: China Meteorological Press, 125, 135, 149.
	Xia S W, Chen J, Schaefer D, et al. Effect of topography and litterfall input on fine-scale patch consistency of soil chemical properties in a tropical rainforest. Plant and Soil, 2016, 404 (1): 385- 398.
	Yan Y M, Fan Z X, Fu P L, et al. Size dependent associations between tree diameter growth rates and functional traits in an Asian tropical seasonal rainforest. Functional Plant Biology, 2020, 48 (2): 231- 240.
	Yang D X, Song L, Jin G Z, et al. The soil C: N: P stoichiometry is more sensitive than the leaf C: N: P stoichiometry to nitrogen addition: a four-year nitrogen addition experiment in a Pinus koraiensis plantation . Plant and Soil, 2019, 442 (5): 183- 198.
	Yang J, Song X, Cao M, et al. On the modelling of tropical tree growth: the importance of intra-specific trait variation, non-linear functions and phenotypic integration. Annals of Botany, 2020, 127 (4): 533- 542.
	Yang J, Song X, Zambrano J, et al. Intra-specific variation in tree growth responses to neighborhood composition and seasonal drought in a tropical forest. Journal of Ecology, 2021, 109, 26- 37. doi: 10.1111/1365-2745.13439
	Zhou G, Liu Q J, Xu Z Z, et al. 2020. How can the shade intolerant Korean pine survive under dense deciduous canopy? Forest Ecology and Management, 457: 117735.
	Zhu J J, Mao Z H, Hu L L. Plant diversity of secondary forests in response to anthropogenic disturbance levels in montane regions of northeastern China. Journal of Forest Research, 2007, 12 (1): 403- 416.
	Zhu Y, Hogan J A, Cai H Y, et al. Biotic and abiotic drivers of the tree growth and mortality trade-off in an old-growth temperate forest. Forest Ecology and Management, 2017, 404 (3): 354- 360.

变量 Variable		幼龄树 Young tree (n=19)		中龄树 Middle-aged tree (n=35)		老龄树 Old tree (n=11)
变量 Variable		PC1	PC2	PC1	PC2	PC1	PC2
环境因子 Environment factors	光照强度Light intensity	0.17	?0.72	?0.20	?0.67	0.17	?0.72
	土壤氮含量Soil N content	?0.53	?0.22	?0.58	0.12	?0.47	?0.33
	土壤磷含量Soil P content	?0.52	?0.38	?0.56	?0.10	?0.56	?0.07
	土壤pH Soil pH	?0.34	0.53	0.19	?0.73	?0.26	?0.66
	土壤含水量Soil water content	?0.55	0.02	?0.52	?0.04	?0.52	0.28
解释变异 Explained variation (%)		54.9	27.1	40.9	21.1	56.8	27.6
累计变异 Cumulative variation (%)		54.9	82.0	40.9	62.0	56.8	84.4

变量 Variable		幼龄树 Young tree (n=19)		中龄树 Middle-aged tree (n=35)		老龄树 Old tree (n=11)
变量 Variable		PC1	PC2	PC1	PC2	PC1	PC2
功能性状 Functional traits	多年生针叶比叶面积SLA_old	0.39	0.12	?0.05	?0.04	0.07	0.58
	当年生针叶比叶面积SLA_current	0.45	0.10	?0.24	0.17	0.11	0.56
	多年生针叶氮含量LN_mass-old	?0.22	?0.11	?0.21	0.45	0.41	0.01
	当年生针叶氮含量LN_mass-current	?0.07	?0.31	?0.26	0.32	0.24	?0.32
	多年生针叶磷含量LP_mass-old	0.22	0.39	0.30	0.52	0.38	?0.10
	当年生针叶磷含量LP_mass-current	0.33	0.42	0.34	0.45	0.27	?0.16
	针叶寿命Needle longevity	?0.06	0.49	0.31	?0.03	0.24	?0.30
	多年生枝木质密度WD_old	?0.36	0.37	0.53	0.02	?0.35	0.10
	当年生枝木质密度WD_current	?0.39	0.17	0.47	?0.10	?0.15	?0.20
	根氮含量Root N	0.24	?0.32	?0.14	0.20	0.44	0.08
	一级根比根长SRL	?0.29	0.19	?0.05	0.39	0.38	0.26
解释变异 Explained variation (%)		36.3	18.6	34.4	18.1	35.4	21.4
累计变异 Cumulative variation (%)		36.3	54.9	34.4	52.5	35.4	56.9

因子 Factors	幼龄树 Young tree (n=19)		中龄树 Middle-aged tree (n=35)		老龄树 Old tree (n=11)
因子 Factors	回归系数Regression coefficient	P	回归系数Regression coefficient	P	回归系数Regression coefficient	P
树龄Tree age	0.030	0.036*	0.003	0.092	?0.013	< 0.001***
环境因子PC1轴 Environment factors PC1	?0.749	0.799	?0.520	< 0.001***	0.008	0.911
环境因子PC2轴 Environment factors PC2	?0.053	0.006**	?0.055	0.403	?0.244	0.063
功能性状PC1轴 Functional traits PC1	?0.432	0.031*	?0.522	< 0.001***	0.475	0.003**
功能性状PC2轴 Functional traits PC2	0.076	0.667	0.051	0.289	0.496	< 0.001***
截距Intercept	?1.057	0.191	2.531	< 0.001***	6.881	< 0.001***

[1]	Yefan Cao,Xizhuo Wang,Laifa Wang,Xiang Wang,Ming Xu,Shengrong Su,Wei Guo. Effects of Different Virulence Isolates of Bursaphelenchus xylophilus on Aetivitres Early Enzymes in Pinus koraiensis [J]. Scientia Silvae Sinicae, 2022, 58(8): 10-17.
[2]	Yong Shi, Lichun Fan, Yanlong Zhang, Jue Wang, Yanan Zheng. Distribution Rule of Monochamus saltuarius Larvae in the Trunk of Pinus koraiensis [J]. Scientia Silvae Sinicae, 2022, 58(7): 128-133.
[3]	Junjie Zhang,Qing Liu,Xiao Wei,Jianjun Zhang,Tinghong Guo. Influence of Light Intensity on Growth and Photosynthetic Characteristics of Garcinia paucinervis seedlings [J]. Scientia Silvae Sinicae, 2022, 58(5): 53-64.
[4]	Hong Pan,Jun Lu,Xiangdong Lei,Xuzhan Guo,Jianfeng Yao,Shouzheng Tang. Tree Age Estimation Based on Resistograph Stationary Kalman Filter [J]. Scientia Silvae Sinicae, 2021, 57(6): 14-23.
[5]	Yanlin Zhang,Caifeng Huang,Mingzhuo Bao,Chuifan Zhou,Zongming He. Effects of Biochar and Its Aging Biochar on Soils Nutrients and Microbial Community Composition in Cunninghamia lanceolata Plantations: a Laboratory Simulation Experiment [J]. Scientia Silvae Sinicae, 2021, 57(6): 169-179.
[6]	Fengjuan Yin,Mingqi Wang,Guangze Jin,Zhili Liu. Trade-Off between Twig and Leaf of Pinus koraiensis at Different Life History Stages [J]. Scientia Silvae Sinicae, 2021, 57(4): 54-62.
[7]	Yi Li,Xiuxiu Feng,Fazhu Zhao,Yaoxin Guo,Jun Wang,Chengjie Ren. Structure Characteristics of Soil Microbial Community in Quercus aliena var. acuteserrata Forests at Different Altitudes in Qinling Mountains [J]. Scientia Silvae Sinicae, 2021, 57(12): 22-31.
[8]	Ganggang Zhang,Gangying Hui. Comprehensive Evaluation Method of Forest Quality Based on the Accumulation and Homogeneity [J]. Scientia Silvae Sinicae, 2021, 57(1): 77-84.
[9]	Song Hu,Guangyu Zhu,Zhenxiong Chen,Kan Lu,Lang Huang,Zhuo Liu. Basal Area Growth Model for Oaks Natural Secondary Forest in Hunan Province Based on Storey Identification [J]. Scientia Silvae Sinicae, 2020, 56(9): 184-192.
[10]	Jian Yu,Jiajia Chen,Guang Zhou,Guohua Liu,Yongping Wang,Junqing Li,Qijing Liu. Response of Radial Growth of Abies forrestii and Picea likiangensis to Climate Factors in the Central Hengduan Mountains, Southwest China [J]. Scientia Silvae Sinicae, 2020, 56(12): 28-38.
[11]	Zhao Zhijiang, Guo Wenxia, Kang Dongwei, Cui Li, Zhao Lianjun, Li Junqing. Response of Radial Growth of Abies faxoniana and Picea purpurea to Climatic Factors in Subalpine of Western Sichuan [J]. Scientia Silvae Sinicae, 2019, 55(7): 1-16.
[12]	Xue Chunquan, Xu Qihu, Lin Liping, He Xiao, Luo Yong, Zhao Han, Cao Lei, Lei Yuancai. Biomass Models with Breast Height Diameter and Age for Main Nativetree Species in Guangdong Province [J]. Scientia Silvae Sinicae, 2019, 55(2): 97-108.
[13]	Jin Mingyue, Jiang Feng, Jin Guangze, Liu Zhili. Variations of Specific Leaf Area in Different Growth Periods and Canopy Positions of Betula platyphylla at Different Ages [J]. Scientia Silvae Sinicae, 2018, 54(9): 18-26.
[14]	Bai Xue, Fan Zexin. Response of Tree Ring Width to Climate Change of Tetracentron sinensis in Humid Evergreen Broad-Leaved Forest in the Middle Ailao Mountains [J]. Scientia Silvae Sinicae, 2018, 54(3): 161-167.
[15]	Wang Lixiang, Liu Xiaobo, Ren Lili, Shi Juan, Luo Youqing. Variety of Endophytic Fungi Associated with Conifers in Mixed Conifer Forests Invaded by Sirex noctilio [J]. Scientia Silvae Sinicae, 2017, 53(9): 81-89.

Changes of Basal Area Growth of Pinus koraiensis with Tree Ages and Impact Factors in Xiaoxing’ anling Mountains, Northeast China

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 0

Related Articles 15

Recommended Articles

Metrics

Comments