林业科学 ›› 2023, Vol. 59 ›› Issue (10): 89-98.doi: 10.11707/j.1001-7488.LYKX20210981
王薇1,赵涵1,黄欣1,侯卓梁1,姜在民2,蔡靖1,3,*
收稿日期:
2021-11-25
出版日期:
2023-10-25
发布日期:
2023-11-01
通讯作者:
蔡靖
基金资助:
Wei Wang1,Han Zhao1,Xin Huang1,Zhuoliang Hou1,Zaimin Jiang2,Jing Cai1,3,*
Received:
2021-11-25
Online:
2023-10-25
Published:
2023-11-01
Contact:
Jing Cai
摘要:
目的: 探究杨树无性系叶片水力及经济性状与生物量的关系,以期探寻预测无性系生物量的可靠指标,对早期选育高产速生无性系具有指导意义。方法: 以来源于同一父母本具有不同生长速率的8个4年生白杨无性系为研究对象,在生长季(7—9月)测定叶片水力性状(叶片维管水力导度Kleaves HPFM、叶片水力导度Kleaf EFM、叶脉密度VD、导管直径Dv、导管水力直径Dh、气孔密度SD和气孔长度SL)、叶片经济性状(比叶面积SLA、叶片全碳含量C、全氮含量N和全碳氮比C/N),生长季结束时(10月)计算地上部分生物量AGB,分析无性系间生物量、叶片水力性状和经济性状的差异,探究三者间的关系。结果: 无性系间地上部分生物量、叶片水力性状、经济性状存在显著差异。AGB总体排序为:K1>K2>K3>Z2>Z1>M3>Z3>M1,大部分无性系的生长趋势与母体树(8年生)保持一致。与叶经济性状变异系数(2.0%~12.0%)相比,水力性状变异系数范围较大(4.5%~13.2%)。叶片水力性状和经济性状不相关,但二者均与地上部分生物量相关。在水力性状中,Kleaves HPFM、VD、Dv和Dh越大,AGB越高,均呈显著正相关,而SD、SL和Kleaf EFM与AGB无相关性。在经济性状中,SLA和AGB呈显著负相关,而C、N和C/N与AGB无相关性。多元线性回归分析表明,VD是影响地上部分生物量的主要指标(t=2.957)。结论: 白杨无性系具有稳定的生长趋势,且无性系间叶水力及经济性状存在差异。这为找寻预测生物量指标提供了可能。与经济性状相比,水力性状可以较好地预测该无性系的地上生物量,且叶脉密度(VD)可能是预测地上生物量的关键因子。
中图分类号:
王薇,赵涵,黄欣,侯卓梁,姜在民,蔡靖. 白杨无性系叶片水力及经济性状与生物量的关系[J]. 林业科学, 2023, 59(10): 89-98.
Wei Wang,Han Zhao,Xin Huang,Zhuoliang Hou,Zaimin Jiang,Jing Cai. Relationship Between Leaf Hydraulic and Economic Traits and Biomass of Poplar Clones[J]. Scientia Silvae Sinicae, 2023, 59(10): 89-98.
表1
8个白杨无性系叶片水力和经济性状特征值①"
指标Indicators | 无性系Clones | |||||||||
K1 | K2 | K3 | Z1 | Z2 | Z3 | M1 | M3 | CV(%) | ||
叶水力性状 Leaf hydraulic traits | KleavesHPFM(×104) | 3.19±0.54a | 3.01±0.47a | 2.54±0.34a | 2.73±0.34a | 2.80±0.09a | 2.94±0.54a | 2.07±0.18a | 2.43±0.12a | 13.2 |
Kleaf EFM | 7.74±0.72a | 7.59±0.81a | 6.70±0.58a | 7.81±1.5a | 8.05±0.51a | 8.40±1.12a | 6.73±0.64a | 8.49±1.08a | 8.8 | |
VD | 1.56±0.06a | 1.55±0.03a | 1.57±0.03a | 1.54±0.05a | 1.50±0.06a | 1.42±0.05ab | 1.24±0.04b | 1.25±0.05b | 9.4 | |
Dv | 20.62±1.04a | 18.20±1.42ab | 16.63±1.61abc | 14.98±0.29bc | 13.62±0.58c | 16.42±0.83abc | 13.50±0.50c | 14.46±0.36bc | 5.3 | |
Dh | 23.02±0.86a | 19.46±1.64ab | 18.33±1.52ab | 17.19±0.44b | 16.25±0.41b | 18.86±0.95ab | 15.29±0.68b | 16.24±0.33b | 4.5 | |
SD | 460.16±28.20c | 506.71±14.84abc | 498.71±29.51bc | 439.56±12.86c | 582.81±18.18ac | 454.55±13.74c | 606.67±33.21a | 502.83±25.28abc | 11.9 | |
SL | 25.67±0.27a | 22.78±0.20c | 23.04±0.18bc | 23.85±0.29b | 20.88±0.20e | 23.06±0.29bc | 22.23±0.25cd | 21.59±0.31de | 6.4 | |
叶经济性状 Leaf economic traits | SLA | 147.46±6.67cd | 149.04±1.90bcd | 150.45±4.03bcd | 181.82±13.24ab | 143.81±6.64d | 181.03±8.32abc | 194.76±9.13a | 156.13±4.54bcd | 12.0 |
C | 46.61±0.25a | 45.62±0.23ab | 43.63±0.64c | 46.24±0.33ab | 45.07±0.37abc | 45.59±0.39ab | 45.43±0.21ab | 44.91±0.25bc | 2.0 | |
N | 3.15±0.13ab | 3.28±0.10a | 2.68±0.12b | 3.12±0.09ab | 2.67±0.10b | 3.09±0.08ab | 2.92±0.07ab | 3.22±0.13a | 7.7 | |
C/N | 15.57±0.54abc | 13.71±0.35c | 16.43±0.75ab | 14.22±0.42bc | 16.98±0.70a | 15.32±0.58abc | 15.61±0.35abc | 14.51±0.66abc | 7.2 |
表2
叶片水力及经济性状间相关系数①"
指标Indicators | 叶水力性状Leaf hydraulic traits | 叶经济性状Leaf economic traits | |||||||||||
Kleaves HPFM | Kleaf EFM | VD | logDv | logDh | SD | SL | SLA | N | C | C/N | |||
叶片水力性状 Leaf hydraulic traits | Kleaves HPFM | 1 | |||||||||||
Kleaf EFM | 0.44 | 1 | |||||||||||
VD | 0.73* | ?0.11 | 1 | ||||||||||
logDv | 0.77* | 0.00 | 0.60 | 1 | |||||||||
logDh | 0.84** | 0.09 | 0.64 | 0.98** | 1 | ||||||||
SD | ?0.60 | ?0.39 | ?0.47 | ?0.62 | ?0.64 | 1 | |||||||
SL | 0.53 | ?0.13 | 0.49 | 0.81* | 0.82* | ?0.68 | 1 | ||||||
叶片经济性状 Leaf economic traits | SLA | ?0.51 | ?0.16 | ?0.60 | ?0.43 | ?0.52 | 0.04 | ?0.02 | 1 | ||||
N | 0.33 | 0.46 | ?0.13 | 0.43 | 0.36 | ?0.51 | 0.37 | 0.08 | 1 | ||||
C | 0.49 | 0.34 | 0.10 | 0.35 | 0.41 | ?0.34 | 0.56 | 0.14 | 0.63 | 1 | |||
C/N | ?0.14 | ?0.26 | 0.08 | ?0.24 | ?0.13 | 0.45 | ?0.22 | ?0.18 | ?0.90** | ?0.44 | 1 |
表4
主成分分析中不同叶功能性状的载荷"
分组 Group | 指标 Traits | 主成分1 PC1 | 主成分2 PC2 |
生物量 Biomass | AGB | 0.34 | ?0.26 |
叶水力性状 Leaf hydraulic traits | Kleaves HPFM | 0.37 | ?0.08 |
Kleaf EFM | 0.11 | 0.22 | |
VD | 0.29 | ?0.33 | |
logDV | 0.37 | ?0.07 | |
logDh | 0.38 | ?0.04 | |
SD | ?0.32 | ?0.14 | |
SL | 0.32 | 0.07 | |
叶经济性状 Leaf economic traits | SLA | ?0.22 | 0.36 |
C | 0.21 | 0.35 | |
N | 0.21 | 0.49 | |
C/N | ?0.14 | ?0.48 | |
% of variance | 49.0 | 22.1 |
龚 容, 高 琼. 叶片结构的水力学特性对植物生理功能影响的研究进展. 植物生态学报, 2015, 39 (3): 300- 308.
doi: 10.17521/cjpe.2015.0029 |
|
Gong R, Gao Q. Research progress in the effects of leaf hydraulic characteristics on plant physiological functions. Chinese Journal of Plant Ecology, 2015, 39 (3): 300- 308.
doi: 10.17521/cjpe.2015.0029 |
|
金 鹰, 王传宽. 植物叶片水力与经济性状权衡关系的研究进展. 植物生态学报, 2015, 39 (10): 1021- 1032.
doi: 10.17521/cjpe.2015.0099 |
|
Jin Y, Wang C K. Trade-offs between plant leaf hydraulic and economic traits. Chinese Journal of Plant Ecology, 2015, 39 (10): 1021- 1032.
doi: 10.17521/cjpe.2015.0099 |
|
李和平. 2009. 植物显微技术. 第2版. 北京: 科学出版社, 1−285. | |
Li H P. 2009. Plant microscopy technique. The second edition. Beijing: Science Press, 1−285. | |
潘莹萍, 陈亚鹏. 叶片水力性状研究进展. 生态学杂志, 2014, 33 (10): 2834- 2841. | |
Pan Y P, Chen Y P. Recent advances in leaf hydraulic traits. Chinese Journal of Ecology, 2014, 33 (10): 2834- 2841. | |
Alafas N, Marron N, Ceulemans R. Clonal variation in stomatal characteristics related to biomass production of 12 poplar (Populus) clones in a short rotation coppice culture . Environmental and Experimental Botany, 2006, 58 (1/2/3): 279- 286.
doi: 10.1016/j.envexpbot.2005.09.003 |
|
Bai X L, Zhang Y B, Liu Q, et al. 2020. Leaf and stem traits are linked to liana growth rate in a subtropical cloud forest. Forests, 2020, 11(10): 112. | |
Brodribb T J, Feild T S, Jordan G J. Leaf maximum photosynthetic rate and venation are linked by hydraulics. Plant Physiology, 2007, 144 (4): 1890- 1898.
doi: 10.1104/pp.107.101352 |
|
Brocious C A, Hacke U G. Stomatal conductance scales with petiole xylem traits in Populus genotypes . Functional Plant Biology, 2016, 43 (6): 553- 562.
doi: 10.1071/FP15336 |
|
Bunn S M, Rae A M, Herbert C S, et al. Leaf-level productivity traits in Populus grown in short rotation coppice for biomass energy . Forestry, 2004, 77 (4): 307- 323.
doi: 10.1093/forestry/77.4.307 |
|
Cochard H, Nardini A, Coll L. 2004. Hydraulic architecture of leaf blades: where is the main resistance? Plant, Cell & Environment, 27(10): 1257−1267. | |
Dillen S Y, Marron N, Koch B, et al. Genetic variation of stomatal traits and carbon isotope discrimination in two hybrid poplar families (Populus deltoides 'S9-2' x P. nigra 'ghoy' and P. deltoides 'S9-2' x P. trichocarpa 'V24') . Annals of Botany, 2008, 102 (3): 399- 407.
doi: 10.1093/aob/mcn107 |
|
Dillen S Y, Marron N, Sabatti M, et al. Relationships among productivity determinants in two hybrid poplar families grown during three years at two contrasting sites. Tree Physiology, 2009, 29 (8): 975- 987.
doi: 10.1093/treephys/tpp036 |
|
Fichot R, Chamaillard S, Depardieu C, et al. Hydraulic efficiency and coordination with xylem resistance to cavitation, leaf function, and growth performance among eight unrelated Populus deltoides × Populus nigra hybrids . Journal of Experimental Botany, 2011, 62 (6): 2093- 2106.
doi: 10.1093/jxb/erq415 |
|
Franks P J, Drake P L, Beerling D J. Plasticity in maximum stomatal conductance constrained by negative correlation between stomatal size and density: an analysis using Eucalyptus globulus. Plant Cell & Environment, 2009, 32 (12): 1737- 1748.
doi: 10.1111/j.1365-3040.2009.002031.x |
|
Gebauer R, Vanbeveren S P P, Volařík D, et al. Petiole and leaf traits of poplar in relation to parentage and biomass yield. Forest Ecology and Management, 2016, 362, 1- 9.
doi: 10.1016/j.foreco.2015.11.036 |
|
Gleason S M, Blackman C J, Chang Y, et al. Weak coordination among petiole, leaf, vein, and gas-exchange traits across Australian angiosperm species and its possible implications. Ecology and Evolution, 2016, 6 (1): 267- 278.
doi: 10.1002/ece3.1860 |
|
Guet J, Fabbrini F, Fichot R, et al. Genetic variation for leaf morphology, leaf structure and leaf carbon isotope discrimination in European populations of black poplar Populus nigra . Tree Physiology, 2015, 35 (8): 850- 863.
doi: 10.1093/treephys/tpv056 |
|
Jin Y, Wang C, Zhou Z, et al. Coordinated performance of leaf hydraulics and economics in 10 Chinese temperate tree species. Functional Plant Biology, 2016, 43 (11): 1082- 1090.
doi: 10.1071/FP16097 |
|
Kawai K, Miyoshi R, Okada N. Bundle sheath extensions are linked to water relations but not to mechanical and structural properties of leaves. Trees-Structure and Function, 2017, 31 (4): 1227- 1237.
doi: 10.1007/s00468-017-1540-8 |
|
Kawai K, Okada N. Leaf vascular architecture in temperate dicotyledons: correlations and link to functional traits. Planta, 2020, 251 (1): 17.
doi: 10.1007/s00425-019-03295-z |
|
Lechthaler S, Kiorapostolou N, Pitacco A. et al. 2020. The total path length hydraulic resistance according to known anatomical patterns: what is the shape of the root-to-leaf tension gradient along the plant longitudinal axis? Journal of Theoretical Biology, 502: 110369. | |
Li L, McCormack M L, Ma C G, et al. Leaf economics and hydraulic traits are decoupled in five species-rich tropical-subtropical forests. Ecology Letters, 2015, 18 (9): 899- 906.
doi: 10.1111/ele.12466 |
|
Liu C, Li Y, Xu L, et al. 2019. Variation in leaf morphological, stomatal, and anatomical traits and their relationships in temperate and subtropical forests. Scientific Reports, 9. | |
Liu C C, Li Y, Zhang J H, et al. 2020. Optimal community assembly related to leaf economic- hydraulic-anatomical traits. Frontiers in Plant Science, 11. | |
Liu X R, Liu H, Gleason S M, et al. Water transport from stem to stomata: the coordination of hydraulic and gas exchange traits across 33 subtropical woody species. Tree Physiology, 2019, 39 (10): 1665- 1674.
doi: 10.1093/treephys/tpz076 |
|
Marron N, Villar M, Dreyer E, et al. Diversity of leaf traits related to productivity in 31 Populus deltoids × Populus nigra clones . Tree Physiology, 2005, 25 (4): 425- 435.
doi: 10.1093/treephys/25.4.425 |
|
Marron N, Ceulemans R. Genetic variation of leaf traits related to productivity in a Populus deltoids × Populus nigra family . Canadian Journal of Forest Research, 2006, 36 (2): 390- 400.
doi: 10.1139/x05-245 |
|
Milla-Moreno E A, Mckown A D, Guy R D, et al. 2016. Leaf mass per area predicts palisade structural properties linked to mesophyll conductance in balsam poplar (Populus balsamifera L). Botany, 94(3): 225 −239 . | |
Monclus R, Dreyer E, Delmotte F M. Productivity, leaf traits and carbon isotope discrimination in 29 Populus deltoids × P. nigra clones . New Phytologist, 2005, 167 (1): 53- 62.
doi: 10.1111/j.1469-8137.2005.01407.x |
|
Monclus R, Dreyer E, Villar M, et al. Impact of drought on productivity and water use efficiency in 29 genotypes of Populus deltoides× Populus nigra . New Phytologist, 2006, 169 (4): 765- 777.
doi: 10.1111/j.1469-8137.2005.01630.x |
|
Nardini A, Salleo S. Water stress-induced modifications of leaf hydraulic architecture in sunflower: coordination with gas exchange. Journal of Experimental Botany, 2005, 56 (422): 3093- 3101.
doi: 10.1093/jxb/eri306 |
|
Nardini A, Pedà G, Rocca N L. Trade-offs between leaf hydraulic capacity and drought vulnerability: morpho-anatomical bases, carbon costs and ecological consequences. New Phytologist, 2012, 196 (3): 788- 798.
doi: 10.1111/j.1469-8137.2012.04294.x |
|
Rae A M, Robinson K M, Street N R, et al. Morphological and physiological traits influencing biomass productivity in short rotation coppice poplar. Canadian Journal of Forest Research, 2004, 34 (7): 1488- 1498.
doi: 10.1139/x04-033 |
|
Reich P B. The world-wide ‘fast-slow’ plant economics spectrum: a traits manifesto. Journal of Ecology, 2014, 102 (2): 275- 301.
doi: 10.1111/1365-2745.12211 |
|
Russo S E, Cannon W L, Elowsky C, et al. Variation in leaf stomatal traits of 28 tree species in relation to gas exchange along an edaphic gradient in a Bornean rain forest. American Journal of Botany, 2010, 97 (7): 1109- 1120.
doi: 10.3732/ajb.0900344 |
|
Sack L, Melcher P J, Zwieniecki M A, et al. The hydraulic conductance of the angiosperm leaf lamina: a comparison of three measurement methods. Journal of Experimental Botany, 2002, 53 (378): 2177- 2184.
doi: 10.1093/jxb/erf069 |
|
Sack L, Cowan PD, Jaikumar N, et al. The ‘hydrology’ of leaves: coordination of structure and function in temperate woody species. Plant Cell and Environment, 2003, 26 (8): 1343- 1356.
doi: 10.1046/j.0016-8025.2003.01058.x |
|
Sack L, Holbrook N M. Leaf hydraulics. Annual Review of Plant Biology, 2006, 57, 361- 381.
doi: 10.1146/annurev.arplant.56.032604.144141 |
|
Scholz A, Klepsch M, Karimi Z, et al. 2013. How to quantify conduits in wood? Frontiers in Plant Science, 4: 56 | |
Scoffoni C, Pou A, Aasamaa K, et al. The rapid light response of leaf hydraulic conductance: new evidence from two experimental methods. Plant Cell & Environment, 2008, 31 (12): 1803- 1812.
doi: 10.1111/j.1365-3040.2008.01884.x |
|
Scoffoni C, McKown A D, Rawls M, et al. Dynamics of leaf hydraulic conductance with water status: quantification and analysis of species differences under steady state. Journal of Experimental Botany, 2012, 63 (2): 643- 658.
doi: 10.1093/jxb/err270 |
|
Scoffoni C, Chatelet D S, Pasquet-kok J, et al. Hydraulic basis for the evolution of photosynthetic productivity. Nature Plants, 2016, 2 (6): 16072- 16079.
doi: 10.1038/nplants.2016.72 |
|
Thomas B N, Grace J P, Scoffoni C, et al. 2015. How does leaf anatomy influence water transport outside the xylem? Plant Physiology, 168: 1616-1635. | |
Trifilo P, Petruzzellis F, Abate E, et al. The extra-vascular water pathway regulates dynamic leaf hydraulic decline and recovery in Populus nigra . Physiologia Plantarum, 2021, 172 (1): 29- 40.
doi: 10.1111/ppl.13266 |
|
Wright I J, Reich P B, Westoby M. Strategy shifts in leaf physiology, structure and nutrient content between species of high-and low-rainfall, and high-and low-nutrient habitats. Functional Ecology, 2001, 15 (4): 423- 434.
doi: 10.1046/j.0269-8463.2001.00542.x |
|
Wright I J, Reich P B, Westoby M, et al. The worldwide leaf economics spectrum. Nature, 2004, 428 (6985): 821- 827.
doi: 10.1038/nature02403 |
|
Xiong D L, Nadal M. Linking water relations and hydraulics with photosynthesis. Plant Journal, 2020, 101 (4): 800- 815.
doi: 10.1111/tpj.14595 |
|
Yang S D, Tyree M T. Hydraulic architecture of Acer saccharum and A. rubrum: comparison of branches to whole trees and the contribution of leaves to hydraulic resistance . Journal of Experimental Botany, 1994, 45 (271): 179- 186. | |
Yin Q, Wang L, Lei M, Dang H, et al. The relationships between leaf economics and hydraulic traits of woody plants depend on water availability. Science of the Total Environment, 2018, 621, 245- 252.
doi: 10.1016/j.scitotenv.2017.11.171 |
|
Yu Q B. 2001. Can physiological and anatomical characters be used for selecting high yielding hybrid aspen clones? Silva Fennica, 35(2): 137−146. | |
Zhang X, Zang R, Li C. Population differences in physiological and morphological adaptations of Populus davidiana seedlings in response to progressive drought stress . Plant Science, 2004, 166 (3): 791- 797.
doi: 10.1016/j.plantsci.2003.11.016 |
|
Zhao H, Jiang Z M, Zhang Y J, et al. 2021. Hydraulic efficiency at the whole tree level stably correlated with productivity over years in 9 poplar hybrids clones. Forest Ecology and Management, 496(4): 119382. |
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