马尾松非结构性碳库大小及分配的纬向变化

doi:10.11707/j.1001-7488.20220805

Abstract

Abstract:

Objective: Latitudinal patterns of the sizes and allocation proportions of non-structural carbohydrates(NSC)storage in Pinus massoniana is studied to investigate the effects of growing environment,and to provide a solid basis for understanding and predicting the growth and carbon storage of trees within the context of global climate change. Method: We collected samples of needles,branches,stems,roots and soil of P. massoniana from 9 typical plantations along a latitudinal gradients in the distribution (23.0°~33.5°N) in China. The NSC concentrations and biomass in different organs of the sample tress were detected and used for biomass estimation and calculation of NSC pool. Result: The sizes of total NSC and its components(soluble sugar and starch)pools significantly linearly decreased from south to north; NSC pool and starch pool in branches,stems,and roots,and sugar pool in branches and roots showed decreasing trends along the latitudinal gradients. Starch was the main component of NSC pool,and its proportion increased linearly with the latitudes; the storage proportion of NSC,sugar,and starch varied in different organs,but was higher in stems and roots. The proportions of NSC,sugar and starch pools in branches linearly decreased with the increase of latitude,but the proportions of NSC and sugar pools in needles increased with the increase of latitude. Pool sizes of NSC,soluble sugar,and starch were positively correlated with climate variables(mean annual temperature of average,minimum,and maximum,and precipitation)and soil variables(nitrogen,and nitrogen/phosphorus ratio). Climate variables,soil factors,and their interactions explained 26.2 %,7.6 %,and 46.0 % of the variation in NSC storage,respectively. Conclusion: NSC pool of P. massoniana was mainly composed by starch,and the pools of NSC,sugar and starch allocated higher in stems and roots. The sizes of NSC,sugar and starch pools showed a linear trend with the latitudes at the whole-tree and organ levels. And climate had a stronger effect than the soil did on NSC storage.

Key words: Pinus massoniana, non-structural carbohydrates pool, carbon allocation, latitudinal distribution

CLC Number:

S718

Yanyan Ni,Zunji Jian,Jin Xu,Lixiong Zeng,Honghua Ruan,Lei Lei,Wenfa Xiao,Maihe Li. Latitudinal Variation of the Size and Allocation of Non-Structural Carbon in Pinus massoniana[J]. Scientia Silvae Sinicae, 2022, 58(8): 41-52.

Figures/Tables 11

Table 1

Table 2

Fig.1

Table 3

Fig.2

Table 4

Sizes(g) and allocation proportion(%)of NSC and its components pools in different organs of P. massoniana"

样地 Site	可溶性糖库(比例) Soluble sugar pool(proportion)	淀粉库(比例) Starch pool(proportion)	NSC库(比例) Non-structural carbon pool(proportion)
叶Leaf
陕西汉中Hanzhong Shaanxi	24.42±13.89(26.02±3.06)	13.651±5.62(6.75±1.15)	38.07±19.41(12.25±1.49)
四川万源Wanyuan Sichuan	12.25 ±2.28(21.37±3.21)	6.693±1.298(3.62±0.31)	19.94±3.58(6.37±0.77)
重庆忠县Zhongxian Chongqing	15.56±4.39(24.01±3.24)	11.947±2.301(4.77±0.08)	26.51±6.45(8.638±0.654)
湖北宣恩Xuanen Hubei	32.95±5.41(20.40±2.03)	25.574±1.589(6.09±0.33)	58.52±6.94(9.95±0.22)
湖南永顺Yongshun Hunan	20.16±0.18(6.72±0.34)	39.021±5.679(6.29±1.03)	59.18±5.83(6.42±0.77)
湖南会同Huitong Hunan	16.11±2.06(4.08±0.83)	16.673±2.921(3.18±0.02)	33.78±4.500(3.54±0.32)
广西桂林Guilin Guangxi	18.89±4.08(5.89±0.78)	39.87±8.785(4.84±0.59)	58.77±12.83(5.13±0.64)
广西贺州Hezhou Guangxi	36.64±5.55(4.96±0.61)	28.672±4.366(2.97±0.38)	65.31±9.80(3.82±0.44)
广东肇庆Zhaoqing Guangdong	32.13±5.74(10.45±1.88)	19.539±0.515(3.31±0.45)	51.67±5.68(5.80±1.08)
枝Branch
陕西汉中Hanzhong Shaanxi	3.39±0.82(5.579±1.408)	5.81±1.37(3.51±0.93)	9.20±2.17(4.07±1.07)
四川万源Wanyuan Sichuan	4.77±2.27(6.18±1.54)	5.91±1.79(2.63±0.24)	10.68±4.04(3.63±0.56)
重庆忠县Zhongxian Chongqing	3.78±0.77(5.98±0.22)	6.70±1.50(2.74±0.43)	10.48±2.13(3.39±0.38)
湖北宣恩Xuanen Hubei	11.17±2.24(6.98±1.362)	15.47±3.79(3.53±0.53)	26.64±6.00(4.43±0.66)
湖南永顺Yongshun Hunan	41.62±4.72(13.94±2.03)	133.81±26.66(20.85±3.28)	175.43±24.08(18.67±1.55)
湖南会同Huitong Hunan	21.42±3.76(5.378±1.19)	85.00±12.56(15.38±0.94)	106.41±14.52(11.07±0.42)
广西桂林Guilin Guangxi	26.38±5.87(8.18±1.03)	106.52±19.03(13.04±0.92)	132.9±24.49(11.68±0.91)
广西贺州Hezhou Guangxi	173.21±30.72(22.53±1.45)	132.04±18.68(13.51±1.16)	305.25±48.18(16.41±1.16)
广东肇庆Zhaoqing Guangdong	66.20±10.69(21.16±1.53)	90.06±6.97(15.24±2.45)	156.26±18.66(16.22±2.27)
干Stem
陕西汉中Hanzhong Shaanxi	13.12±4.37(18.68±2.12)	121.96±36.09(65.57±5.13)	135.08±41.41(52.97±4.86)
四川万源Wanyuan Sichuan	8.208±2.10(13.79±0.95)	135.79±32.03(62.36±2.65)	143.99±34.09(51.94±1.86)
重庆忠县Zhongxian Chongqing	8.05±1.70(12.63±0.38)	191.64±34.88(76.91±1.00)	199.69±36.58(63.97±1.28)
湖北宣恩Xuanen Hubei	16.93±2.03(11.59±2.287)	264.56±16.98(63.45±6.06)	282.49±16.14(48.93±4.14)
湖南永顺Yongshun Hunan	43.95±25.54(15.36±9.45)	240.98±30.78(38.40±4.49)	284.92±40.34(31.04±5.59)
湖南会同Huitong Hunan	78.42±6.44(19.73±2.84)	273.233±50.36(48.811±1.666)	351.66±53.67(36.37±1.27)
广西桂林Guilin Guangxi	42.77±5.76(14.10±2.64)	425.99±46.69(53.19±1.60)	468.76±45.14(42.24±1.45)
广西贺州Hezhou Guangxi	319.05±103.64(36.70±6.23)	532.79±83.26(53.65±1.21)	851.83±186.56(46.59±2.54)
广东肇庆Zhaoqing Guangdong	61.35±2.84(20.10±2.80)	339.37±88.13(53.37±4.31)	400.72±90.90(42.15±3.90)
根Root
陕西汉中Hanzhong Shaanxi	36.66±16.29(48.72±1.87)	61.66±38.97(24.17±5.34)	99.33±55.19(30.71±4.03)
四川万源Wanyuan Sichuan	34.70±9.48(56.66±1.52)	66.81±11.50(31.39±2.45)	101.51±20.02(36.07±1.41)
重庆忠县Zhongxian Chongqing	36.71±8.38(56.38±3.41)	39.28±8.14(15.58±0.66)	75.99±16.40(24.00±1.34)
湖北宣恩Xuanen Hubei	99.47±18.45(61.03±2.58)	119.16±36.38(26.93±5.89)	218.63±39.19(36.69±3.433)
湖南永顺Yongshun Hunan	195.56±41.75(63.98±11.67)	216.73±16.25(34.46±1.12)	412.29±56.98(43.87±3.89)
湖南会同Huitong Hunan	301.74±74.51(70.81±3.71)	181.23±30.94(32.64±2.42)	482.98±101.93(49.03±1.58)
广西桂林Guilin Guangxi	225.33±26.09(71.83±1.31)	233.38±35.87(28.93±1.98)	458.71±60.54(40.96±1.20)
广西贺州Hezhou Guangxi	255.78±35.11(35.81±6.77)	309.37±72.81(29.88±2.12)	565.15±103.72(32.18±2.51)
广东肇庆Zhaoqing Guangdong	156.51±36.13(48.29±4.54)	171.653±24.285(28.08±1.478)	329.16±60.92(34.83±1.39)

Table 4

Fig.3

Fig.4

Fig.5

Table 5

Fig.6

References 0

	杜建会, 邵佳怡, 李升发, 等. 树木非结构性碳水化合物含量多时空尺度变化特征及其影响因素研究进展. 应用生态学报, 2020, 31 (4): 1378- 1388. doi: 10.13287/j.1001-9332.202004.001
	Du J H , Shao J Y , Li S F . Non-structural carbohydrate content of trees and its influencing factors at multiple spatial-temporal scales: a review. Chinese Journal of Applied Ecology, 2020, 31 (4): 1378- 1388. doi: 10.13287/j.1001-9332.202004.001
	倪妍妍, 胡军, 刘建锋, 等. 不同地理种源栓皮栎幼苗生长与物质分配的变化趋势. 西北植物学报, 2017, 37 (3): 534- 540.
	Ni Y Y , Hu J , Liu J F . The trends in growth and substance allocation in Quercus variabilis seedlings from five provenances. Acta Botanica Boreali-Occidentalia Sinica, 2017, 37 (3): 534- 540.
	国家林业与草原局. LY-T 2263-2014立木生物量模型及碳计量参数——马尾松. 北京: 中国标准出版社, 2014.
	National Forestry and Grass Administration . LY-T 2263-2014 Tree biomass models and related parameters to carbon accounting of Pinus massoniana.Beijing: Standards Press of China, 2014.
	国家林业和草原局. GB/T 38590-2020森林资源连续清查技术规程.北京: 中国标准出版社, 2020.
	National Forestry and Grass Administration . GB/T 38590-2020Technical regulations for continuous forest inventory.Beijing: Standards Press of China, 2020.
	周玉荣, 于振良. 我国主要森林生态系统炭贮量和碳平衡. 植物生态学报, 2000, 24 (5): 518- 522. doi: 10.3321/j.issn:1005-264X.2000.05.002
	Zhou Y R , Yu Z L . Carbon storage and budget of major Chinese forest types. Chinese Journal of Plant Ecology, 2000, 24 (5): 518- 522. doi: 10.3321/j.issn:1005-264X.2000.05.002
	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 Ghanaian tropical rain forest. Journal of Tropical Ecology, 2003, 19 (2): 109- 125. doi: 10.1017/S0266467403003146
	Barbaroux C , Bréda N . Contrasting distribution and seasonal dynamics of carbohydrate reserves in stem wood of adult ring-porous sessile oak and diffuse-porous beech trees. Tree Physiology, 2002, 22 (17): 1201- 1210. doi: 10.1093/treephys/22.17.1201
	Barbaroux C , Bréda N , Dufrêne E . Distribution of above-ground and below-ground carbohydrate reserves in adult trees of two contrasting broad-leaved species(Quercus petraea and Fagus sylvatica). New Phytologist, 2003, 157 (3): 605- 615. doi: 10.1046/j.1469-8137.2003.00681.x
	Boldingh H , Smith G S , Klages K . Seasonal concentrations of non-structural carbohydrates of five Actinidia species in fruit, leaf and fine root tissue. Annals of Botany, 2000, 85 (4): 469- 476. doi: 10.1006/anbo.1999.1094
	Chapin III F S , Schulze E D , mooney H A . The ecology and economics of storage in plants. Annual Review of Ecology and Systematics, 1990, 21, 423- 447. doi: 10.1146/annurev.es.21.110190.002231
	Chlumska Z , Liancourt P , Hartmann H , et al. Species- and compound-specific dynamics of nonstructural carbohydrates toward the world's upper distribution of vascular plants. Environmental and Experimental Botany, 2022, 201, 104985. doi: 10.1016/j.envexpbot.2022.104985
	Cong Y , Wang A , He H S , et al. Evergreen Quercus aquifolioides remobilizes more soluble carbon components but less N and P from leaves to shoots than deciduous Betula ermanii at the end-season. iForest-Biogeosciences and Forestry, 2018, 11 (4): 517- 525. doi: 10.3832/ifor2633-011
	Dang H S , Zhang K R , Zhang Q F , et al. Temporal variations of mobile carbohydrates in Abies fargesii at the upper tree limits. Plant Biology, 2015, 17 (1): 106- 113. doi: 10.1111/plb.12191
	Fruze M E , Huqgett B A , Aubrecht D M , et al. Whole-trec nonstructra carbohydrate storage and seasonal dynamics in file temperate species. New phytoloqist, 2019, 221 (3): 1466- 1477. doi: 10.1111/nph.15462
	Gorissen A , Tietema A , Joosten N N , et al. Climate change affects carbon allocation to the soil in shrublands. Ecosystems, 2004, 7 (6): 650- 661.
	Guo Q F , Ren H . Productivity as related to diversity and age in planted versus natural forests. Global Ecology and Biogeography, 2014, 23 (12): 1461- 1471. doi: 10.1111/geb.12238
	Gough C M , Flower C E , Vogel C S , et al. Whole-ecosystem labile carbon production in a north temperate deciduous forest. Agricultural and Forest Meteorology, 2009, 149, 1531- 1540. doi: 10.1016/j.agrformet.2009.04.006
	Hartmann H , Trumbore S . Understanding the roles of nonstructural carbohydrates in forest trees-from what we can measure to what we want to know. New Phytologist, 2016, 211 (2): 386- 403. doi: 10.1111/nph.13955
	Hoch G , Körner C . Global patterns of mobile carbon stores in trees at the high-elevation tree line. Global Ecology and Biogeography, 2012, 21 (8): 861- 871. doi: 10.1111/j.1466-8238.2011.00731.x
	Hoch G , Richter A , Körner C . Non-structural carbon compounds in temperate forest trees. Plant, Cell & Environment, 2003, 26 (7): 1067- 1081.
	Klein T , Hoch G , Yakir D , et al. Drought stress, growth and nonstructural carbohydrate dynamics of pine trees in a semi-arid forest. Tree Physiology, 2014, 34 (9): 981- 992. doi: 10.1093/treephys/tpu071
	Kobe R K . Carbohydrate allocation to storage as a basis of interspecific variation in sapling survivorship and growth. Oikos, 1997, 80 (2): 226- 233. doi: 10.2307/3546590
	Körner C . Carbon limitation in trees. Journal of Ecology, 2003, 91 (1): 4- 17. doi: 10.1046/j.1365-2745.2003.00742.x
	Kozlowski T T . Carbohydrate sources and sinks in woody plants. The Botanical Review, 1992, 58 (2): 107- 222. doi: 10.1007/BF02858600
	Lens F , Jansen S , Robbrecht E , et al. Wood anatomy of the Vanguerieae(Ixoroideae - Rubiaceae), with special emphasis on some Geofrutices. Iawa Journal, 2000, 21 (4): 443- 455. doi: 10.1163/22941932-90000260
	Li K R , Wang S Q , Cao M K . Vegetation and soil carbon storage in China. Science in China Ser. D Earth Sciences(English edition), 2004, 47 (1): 49- 57. doi: 10.1360/02yd0029
	Li M H , Hoch G , Körner C . Spatial variability of mobile carbohydrates within Pinus cembra trees at the alpine treeline. Phyton, 2001, 41 (2): 203- 213.
	Li M H , Hoch G , Körner C . Source/sink removal affects mobile carbohydrates in Pinus cembra at the Swiss treeline. Trees, 2002, 16 (4-5): 331- 337.
	Li M H , Jiang Y , Wang A , et al. Active summer carbon storage for winter persistence in trees at the cold alpine treeline. Tree Physiology, 2018, 38 (9): 1345- 1355. doi: 10.1093/treephys/tpy020
	Li N N , He N P , Yu G R , et al. Leaf non-structural carbohydrates regulated by plant functional groups and climate: Evidences from a tropical to cold-temperate forest transect. Ecological Indicators, 2016, 62, 22- 31. doi: 10.1016/j.ecolind.2015.11.017
	Liu H Y , Shangguan H L , Zhou M , et al. Differentiated responses of nonstructural carbohydrate allocation to climatic dryness and drought events in the Inner Asian arid timberline. Agricultural and Forest Meteorology, 2019, 271, 355- 361. doi: 10.1016/j.agrformet.2019.03.008
	Liu J F , Deng Y P , Wang X F , et al. The concentration of non-structural carbohydrates, N, and P in Quercus variabilis does not decline toward its northernmost distribution range along a 1500km transect in China. Frontiers in Plant Science, 2018, 9, 1444. doi: 10.3389/fpls.2018.01444
	Martínez-Vilalta J , Sala A , Asensio D , et al. Dynamics of non-structural carbohydrates in terrestrial plants: a global synthesis. Ecological Monographs, 2016, 86 (4): 495- 516. doi: 10.1002/ecm.1231
	Myers J A , Kitajima K . Carbohydrate storage enhances seedling shade and stress tolerance in a neotropical forest. Journal of Ecology, 2007, 95 (2): 383- 395. doi: 10.1111/j.1365-2745.2006.01207.x
	Palacio S , Hoch G , Sala A , et al. Does carbon storage limit tree growth. New Phytologist, 2014, 201 (4): 1096- 1100. doi: 10.1111/nph.12602
	Reich P B , Oleksyn J . Global patterns of plant leaf N and P in relation to temperature and latitude. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101 (30): 11001- 11006. doi: 10.1073/pnas.0403588101
	Richardson A D , Carbone M S , Huggett B A , et al. Distribution and mixing of old and new nonstructural carbon in two temperate trees. New Phytologist, 2015, 206 (2): 590- 597. doi: 10.1111/nph.13273
	Richardson A D , Carbone M S , Keenan T F , et al. Seasonal dynamics and age of stemwood nonstructural carbohydrates in temperate forest trees. New Phytologist, 2013, 197 (3): 850- 861. doi: 10.1111/nph.12042
	Rocha A V , Goulden M L . Why is marsh productivity so high? New insights from eddy covariance and biomass measurements in a Typha marsh. Agricultural and Forest Meteorology, 2009, 149 (1): 159- 168. doi: 10.1016/j.agrformet.2008.07.010
	Schönbeck L , Gessler A , Hoch G , et al. Homeostatic levels of nonstructural carbohydrates after 13 yr of drought and irrigation in Pinus sylvestris. New Phytologist, 2018, 219 (4): 1314- 1324. doi: 10.1111/nph.15224
	Schoonmaker A L , Hillabrand R M , Lieffers V J , et al. Seasonal dynamics of non-structural carbon pools and their relationship to growth in two boreal conifer tree species. Tree Physiology, 2021, 41 (9): 1563- 1582. doi: 10.1093/treephys/tpab013
	Smith M G , miller R E , Arndt S K , et al. Whole-tree distribution and temporal variation of non-structural carbohydrates in broadleaf evergreen trees. Tree Physiology, 2017, 38 (4): 570- 581.
	Tanaka T S T , Irbisa C , Kumagai H , et al. Timing of harvest of Phragmites australis (CAV) Trin. ex Steudel affects subsequent canopy structure and nutritive value of roughage in subtropical highland. Journal of Environmental Management, 2016, 166, 420- 428.
	Toledo M , Poorter L , Peña-Claros M , et al. Climate is a stronger driver of tree and forest growth rates than soil and disturbance. Journal of Ecology, 2011, 99 (1): 254- 264. doi: 10.1111/j.1365-2745.2010.01741.x
	Wang A , Wang X , Tognetti R , et al. Elevation alters carbon and nutrient concentrations and stoichiometry in Quercus aquifolioides in southuesterr China. Scien of the Total Environment, 2018, 622-623, 1436- 1475.
	Wen D , He N P . Forest carbon storage along the north-south transect of eastern China: spatial patterns, allocation, and influencing factors. Ecological Indicators, 2016, 61, 960- 967. doi: 10.1016/j.ecolind.2015.10.054
	Würth M K R , Peláez-Riedl S , Wright S J , et al. Non-structural carbohydrate pools in a tropical forest. Oecologia, 2005, 143 (1): 11- 24. doi: 10.1007/s00442-004-1773-2
	Zadworny M , McCormack M L , mucha J , et al. Scots pine fine roots adjust along a 2000-km latitudinal climatic gradient. New Phytologist, 2016, 212 (2): 389- 399. doi: 10.1111/nph.14048
	Zhu W Z , Xiang J S , Wang S G , et al. Resprouting ability and mobile carbohydrate reserves in an oak shrubland decline with increasing elevation on the eastern edge of the Qinghai-Tibet Plateau. Forest Ecology and Management, 2012, 278, 118- 126. doi: 10.1016/j.foreco.2012.04.032

样点 Site	经度 Longitude	纬度 Latitude	海拔 Altitude/m	胸径 DBH/cm	树高 Tree height/m	林龄 Age/a	郁闭度 Canopy density	林木密度 Stand density/ hm^-2	年平均温 Mean annual temperature/ ℃	年降水量 Mean annual precipitation/ mm	土壤类型 Soil type	土壤全氮 Soil total nitrogen/v(g·kg^-1)	土壤全磷 Soil total phosphorus/ (g·kg^-1)	土壤全钾 Soil total potassium/ (g·kg^-1)
陕西汉中 Hanzhong Shaanxi	107.13°	33.33°	586	17.7±6	14.1±3	35	0.7	1 625	15.3	812.1	黄棕壤Yellow brown earths	0.82	0.40	18.61
四川万源 Wanyuan Sichuan	108.04°	32.13°	887	18.1±3	17.6±2	39	0.7	1 889	12.5	955.6	黄壤Yellow earths	0.51	0.32	11.88
重庆忠县 Zhongxian Chongqing	108.05°	30.41°	887	17.3±2	16.2±1	31	0.6	1 444	15.2	1 194.4	黄壤Yellow earths	0.64	0.34	15.07
湖北宣恩 Xuan’en Hubei	109.5°	29.96°	859	22.9±2	14.4±1	31	0.6	815	14.9	1 263.5	黄壤Yellow earths	1.52	0.31	12.76
湖南永顺 Yongshun Hunan	109.95°	29.11°	456	19.9±2	16.3±1	21	0.7	1 157	15.4	1 286.7	黄壤Yellow earths	1.76	0.34	16.90
湖南会同 Huitong Hunan	109.64°	26.80°	301	21.6±4	18.2±2	25	0.6	1 585	17.8	1 347.2	红壤Red earth	1.33	0.34	11.99
广西桂林 Guilin Guangxi	110.31°	25.06°	145	24.5±3	17.7±2	25	0.6	1 008	20.0	1 717.5	红壤Red earth	0.98	0.27	8.41
广西贺州 Hezhou Guangxi	111.70°	24.15°	279	25.3±4	15.9±2	24	0.6	540	20.5	1 672.5	红壤Red earth	2.02	0.34	22.03
广东肇庆 Zhaoqing Guangdong	112.50°	23.09°	45	21.2±3	13.7±3	22	0.6	1 283	21.5	1 768.9	红壤Red earth	1.72	0.34	22.75

因子 Indicators	年均生物量 Mean annual biomass	非结构性碳水化合物含量 Non-structural carbohydrate content	可溶性糖含量 Soluble sugar content	淀粉含量 Starch content
器官Organ	16.875^***	8.104^***	7.807^***	2.458
纬度Latitude	50.207^***	29.379^***	17.031^***	17.171^***
器官×纬度Organ ×Latitude	7.122^***	5.490^**	5.699^**	1.450

因子 Indicator	非结构性碳水化合物库 Non-structural carbohydrate pool	可溶性糖库 Soluble sugar pool	淀粉库 Starch pool
器官Organ	15.778^***	7.986^***	22.676^***
纬度Latitude	79.852^***	47.059^***	85.539^***
器官×纬度Organ×latitude	10.407^***	5.678^**	13.687^***

影响因子 Influenced factor	非结构性碳水化合物库 Non-structural carbon pool	淀粉库 Starch pool	可溶性糖库 Sugar pool
年平均温度Mean annual temperature	0.696^***	0.703^***	0.655^***
年均最冷月最低温Mean annualminimum temperature of the coldest month	0.631^***	0.663^***	0.564^***
年均最热月最高温Mean annual maximum temperature of the warmest month	0.653^***	0.69^***	0.578^***
年降雨总量Mean annual precipitaiton	0.715^***	0.755^***	0.634^***
帕默尔干旱强度指数Palmer drought severity index	-0.204	-0.176	-0.228
土壤全氮Soil total nitrogen	0.676^***	0.651^***	0.674^***
土壤全磷Soil total phosphorus	-0.148	-0.178	-0.106
土壤全钾Soil total potassium	0.320	0.262	0.375^***
土壤氮磷比Soil nitrogen/phosphorus ratio	0.675^***	0.658^***	0.664^***
土壤氮钾比Soil nitrogen/potassium ratio	-0.29	-0.246	-0.33
土壤磷钾比Soil phosphorus/potassium ratio	0.286	0.333	0.217

[1]	Min Li, Xizhou Zhao, Haoyun Wang, Zhongke Lu, Guijie Ding. Effects of Drought Stress and Ectomycorrhizal Fungi on the Root Morphology and Exudates of Pinus massoniana Seedlings [J]. Scientia Silvae Sinicae, 2022, 58(7): 63-72.
[2]	Zijing Zhou,Fuhua Fan,Xianwen Shang,Huijuan Qin,Conghui Wang,Guijie Ding,Jianhui Tan. Effects of Exogenous IAA on Stem Secondary Growth of Pinus massoniana Seedlings [J]. Scientia Silvae Sinicae, 2021, 57(9): 42-51.
[3]	Haiyang Wang,Qianli Ma. Adsorption Properties and Mechanisms of Pinus massoniana Bark Nano-Lignocellulose Aerogel Adsorbent for Cr³⁺/Cu²⁺/Pb²⁺/Ni²⁺ [J]. Scientia Silvae Sinicae, 2021, 57(7): 166-174.
[4]	Linfeng Ye,Yan Li,Zhongyuan Wang,Shitong Lu,Tiantian Pan,Sen Chen,Jiangbo Xie. Efficiency-Safety Relationships of Hydraulic Conducting System for Branch and Root of Three Pinus Species Growing in Humid Area [J]. Scientia Silvae Sinicae, 2021, 57(7): 194-204.
[5]	Yunxing Bai,Yunchao Zhou,Xunyuan Zhang,Jiaojiao Du. Water Conservation Capacity of Litter and Soil in Mixed Plantation of Pinus massoniana and Broadleaved Trees [J]. Scientia Silvae Sinicae, 2021, 57(11): 24-36.
[6]	Xiaosui Wen,Dunfu Song,Zhongqi Yang,Zhonghui Wang,Mingqing Shi. Relationships between the Emergence of Dastarcus helophoroides (Coleoptera: Bothrideridae) and the Emergence of the Host Monochamus alternatus (Coleoptera: Cerambycidae) in Pinus massoniana Forests [J]. Scientia Silvae Sinicae, 2020, 56(9): 193-200.
[7]	Yin Wang,Ruiling Yao. Rooting Capacity of Pinus massoniana and the Correlations Endohormones Levels during Subcultur [J]. Scientia Silvae Sinicae, 2020, 56(8): 38-46.
[8]	Lihua Zhu,Xinyue Zhang,Xinrui Xia,Yu Wan,Shanjun Dai,Jianren Ye. Pathogenicity of Aseptic Bursaphelenchus xylophilus on Pinus massoniana [J]. Scientia Silvae Sinicae, 2020, 56(7): 63-69.
[9]	Xiaorong Wang,Lei Lei,Tian Fu,Lei Pan,Lixiong Zeng,Wenfa Xiao. Short-Term Effects of Selective Cutting for Tending on Leaf Litter Decomposition Rate and Nutrient Release in Pinus massoniana Forests [J]. Scientia Silvae Sinicae, 2020, 56(4): 12-21.
[10]	Peihuang Zhu,Yu Chen,Lingzhi Zhu,Rong Li,Kongshu Ji. Codon Usage Bias and Its Influencing Factors in Pinus massoniana Transcriptome [J]. Scientia Silvae Sinicae, 2020, 56(4): 74-81.
[11]	Xing Wu,Xingfeng Hu,Peizhen Chen,Xiaobo Sun,Fan Wu,Kongshu Ji. Cloning and Functional Analysis of PmPIN1 Gene from Pinus massoniana [J]. Scientia Silvae Sinicae, 2020, 56(3): 184-192.
[12]	Xiaoli Yan, Wenjia Hu, Yuanfan Ma, yufan Huo, Tuo Wang, Xiangqing Ma. Nitrogen Uptake Preference of Cunninghamia lanceolata, Pinus massoniana, and Schima superba under Heterogeneous Nitrogen Supply Environment and their Root Foraging Strategies [J]. Scientia Silvae Sinicae, 2020, 56(2): 1-11.
[13]	Kai Sun,Jiasen Wu,Weixing Sheng,Peikun Jiang,Yunqing Zhang,Jiangfei Ge. Potential of Phytolith-Occluded Organic Carbon Sequestration in Masson Pine Stands at Different Ages in Subtropical China [J]. Scientia Silvae Sinicae, 2020, 56(12): 10-18.
[14]	Yifan Chen,Xiaoli Fu,Huimin Wang,Xiaoqin Dai,Liang Kou,Fusheng Chen,Wensheng Bu. Effects of Understory Removal on Growth Rate of Middle-Aged Chinese Fir with Different DBH Classes [J]. Scientia Silvae Sinicae, 2020, 56(11): 21-30.
[15]	Deng Xiuxiu, Xiao Wenfa, Zeng Lixiong, Lei Lei, Shi Zheng. Transport and Distribution Characteristics of Photosynthates of Pinus massoniana Seedlings [J]. Scientia Silvae Sinicae, 2019, 55(7): 27-34.

Latitudinal Variation of the Size and Allocation of Non-Structural Carbon in Pinus massoniana

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 0

Related Articles 15

Recommended Articles

Metrics

Comments