Abstract
Main conclusion
We developed a more realistic modeling framework by integrating stem photosynthesis into the canopy carbon assimilation model to compare the photosynthetic productivity between the stem and leaf of Eucalyptus urophylla plantations.
Abstract
Stems of Eucalyptus species with smooth outer bark have photosynthetic green tissue that can recycle internal stem CO2. However, the potential contribution of stem photosynthesis to forest productivity has not previously been adequately quantified, and we also do not know how it compares to leaf photosynthetic productivity. To assist in addressing this knowledge gap, we conducted field surveys in Eucalyptus urophylla plantations of different ages and developed a more realistic modeling framework by integrating stem photosynthesis into the existing canopy carbon assimilation model. We calculated the proportion of tree stems shaded by neighboring tree trunks based on Poisson spatial point process. Under the stand density of 2000 trees per hectare, the light absorption area of tree trunks of 2-year-old and 7-year-old E. urophylla plantations were 0.11 (± 0.15) and 0.35 (± 0.12) m2 stem m−2 land, the stem photosynthetic productivity (GPPstem) was 0.72 (± 0.45) and 1.81 (± 1.12) mol C m−2 month−1, and the ratios of GPPstem to leaf photosynthetic productivity (GPPleaf) were 5.10 and 8.17% for 2- and 7-year-old plantations, respectively. Overall, this study presents the feasibility of incorporating stem photosynthesis into the productivity prediction of E. urophylla plantations by developing the stem light absorption model.
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Data and code are available from the corresponding author on reasonable request.
References
Aschan G, Wittmann C, Pfanz H (2001) Age-dependent bark photosynthesis of aspen twigs. Trees 15(7):431–437. https://doi.org/10.1007/s004680100120
Ávila E, Herrera A, Tezara W (2014) Contribution of stem CO2 fixation to whole-plant carbon balance in nonsucculent species. Photosynthetica 52(1):3–15. https://doi.org/10.1007/s11099-014-0004-2
Bloemen J, Vergeynst L, Overlaet-Michiels L, Steppe K (2016) How important is woody tissue photosynthesis in poplar during drought stress? Trees 30:63–72. https://doi.org/10.1007/s00468-014-1132-9
Cabon A, Kannenberg SA, Arain A et al (2022) Cross-biome synthesis of source versus sink limits to tree growth. Science 376(6594):758–761. https://doi.org/10.1126/science.abm4875
Cai XA, Zeng XP, Chen YQ (2015) Stem corticular photosynthesis: ecophysiological functions and their measurement. Sheng Tai Xue Bao 35(21):6909–6922
Cernusak LA, Hutley LB (2011) Stable isotopes reveal the contribution of corticular photosynthesis to growth in branches of Eucalyptus miniata. Plant Physiol 155(1):515–523. https://doi.org/10.1104/pp.110.163337
Cernusak LA, Marshall JD (2000) Photosynthetic refixation in branches of western white pine. Funct Ecol 14(3):300–311. https://doi.org/10.1046/j.1365-2435.2000.00436.x
Chattaway MM (1953) The anatomy of bark. I The genus Eucalyptus. Aust J Bot 1:402–433. https://doi.org/10.1071/BT9530402
Chen X, Gao J, Zhao P et al (2018) Tree species with photosynthetic stems have greater nighttime sap flux. Front Plant Sci 9:30. https://doi.org/10.3389/fpls.2018.00030
Chen X, Zhao P, Zhao X et al (2021) Involvement of stem corticular photosynthesis in hydraulic maintenance of Eucalyptus trees and its effect on leaf gas exchange. Environ Exp Bot 186:104451. https://doi.org/10.1016/j.envexpbot.2021.104451
Chen W, Zou Y, Dang Y et al (2022) Spatial distribution and dynamic change monitoring of Eucalyptus plantations in China during 1994–2013. Trees 36(1):405–414. https://doi.org/10.1007/s00468-021-02215-7
Damesin C (2003) Respiration and photosynthesis characteristics of current-year stems of Fagus sylvatica: from the seasonal pattern to an annual balance. New Phytol 158(3):465–475. https://doi.org/10.1046/j.1469-8137.2003.00756.x
De Roo L, Salomón RL, Steppe K (2020) Woody tissue photosynthesis reduces stem CO2 efflux by half and remains unaffected by drought stress in young Populus tremula trees. Plant Cell Environ 43(4):981–91. https://doi.org/10.1111/pce.13711
Esprey LJ (2005) Assessment of a process-based model to predict the growth and yield of Eucalyptus grandis plantations in South Africa. Dissertation
Forrester DI, Tang XL (2016) Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model. Ecol Modell 319:233–254. https://doi.org/10.1016/j.ecolmodel.2015.07.010
Forrester DI, Hobi ML, Mathys AS et al (2021) Calibration of the process-based model 3-PG for major central European tree species. J Forest Res-Jpn 140(4):847–868. https://doi.org/10.1007/s10342-021-01370-3
Gao J, Zhou J, Sun Z et al (2016) Suppression of nighttime sap flux with lower stem photosynthesis in Eucalyptus trees. Int J Biometeorol 60(4):545–556. https://doi.org/10.1007/s00484-015-1050-6
Gupta R, Sharma LK (2019) The process-based forest growth model 3-PG for use in forest management: a review. Ecol Modell 397:55–73. https://doi.org/10.1016/j.ecolmodel.2019.01.007
Hua LZ, Morris J, He XB et al (2007) Predicting Eucalyptus production in southern China using the 3-PG model. J Trop For Sci 19:127–140
Huang HJ (2021) Index screening and evaluation of soil fertility quality of Eucalyptus plantation. Dissertation, Central South University of Forestry and Technology
Körner C (2015) Paradigm shift in plant growth control. Curr Opin Plant Biol 25:107–114. https://doi.org/10.1016/j.pbi.2015.05.003
Landsberg JJ, Waring RH (1997) A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecol Manag 95:209–228. https://doi.org/10.1016/S0378-1127(97)00026-1
Landsberg JJ, Sands PJ, Landsberg J, Sands P (2011) Physiological ecology of forest production: principles, processes and models, vol 4. Elsevier/Academic Press, London
Levy PE, Jarvis PG (1998) Stem CO2 fluxes in two Sahelian shrub species (Guiera senegalensis and Combretum micranthum). Funct Ecol 12:107–116. https://doi.org/10.1046/j.1365-2435.1998.00156.x
Lewis SL, Wheeler CE, Mitchard ETA, Koch A (2019) Regenerate natural forests to store carbon. Nature 568:25–28. https://doi.org/10.1038/d41586-019-01026-8
Lieshout MNM (2019) Theory of spatial statistics. CRC Press
Liu H, Li J (2010) The study of the ecological problems of Eucalyptus plantation and sustainable development in Maoming Xiaoliang. J Sustainable Dev 3(1):197. https://doi.org/10.5539/jsd.v3n1p197
Manetas Y, Pfanz H (2005) Spatial heterogeneity of light penetration through periderm and lenticels and concomitant patchy acclimation of corticular photosynthesis. Trees 19(4):409–414. https://doi.org/10.1007/s00468-004-0399-7
Maxwell K, Johnson GN (2000) Chlorophyll fluorescence—a practical guide. J Exp Bot 51(345):659–668. https://doi.org/10.1093/jxb/51.345.659
Medlyn B, Barrett D, Landsberg J et al (2003) Corrigendum to: conversion of canopy intercepted radiation to photosynthate: a review of modelling approaches for regional scales. Funct Plant Biol 30(7):829–829. https://doi.org/10.1071/FP02088_CO
Miehle P, Battaglia M, Sands PJ et al (2009) A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations. Ecol Modell 220(5):734–746. https://doi.org/10.1016/j.ecolmodel.2008.12.010
Nabiollahi K, Golmohamadi F, Taghizadeh-Mehrjardi R et al (2018) Assessing the effects of slope gradient and land use change on soil quality degradation through digital mapping of soil quality indices and soil loss rate. Geoderma 318:16–28
Nesha MK, Herold M, De Sy V et al (2021) An assessment of data sources, data quality and changes in national forest monitoring capacities in the global forest resources assessment 2005–2020. Environ Res 16(5):054029. https://doi.org/10.1088/1748-9326/abd81b
Niinemets Ü (2010) A review of light interception in plant stands from leaf to canopy in different plant functional types and in species with varying shade tolerance. Ecol Res 25(4):693–714. https://doi.org/10.1007/s11284-010-0712-4
Nölte A, Yousefpour R, Hanewinkel M (2020) Changes in sessile oak (Quercus petraea) productivity under climate change by improved leaf phenology in the 3-PG model. Ecol Modell. https://doi.org/10.1016/j.ecolmodel.2020.109285
Ouyang L, Wu J, Zhao P, Zhu L, Ni G (2021) Stand age rather than soil moisture gradient mainly regulates the compromise between plant growth and water use of Eucalyptus urophylla in hilly South China. Land Degrad Dev 32(7):2423–2436. https://doi.org/10.1002/ldr.3921
Pfanz H (2007) Bark photosynthesis. Trees 22(2):137–138. https://doi.org/10.1007/s00468-007-0196-1
Pfanz H, Aschan G, Langenfeld-Heyser R, Wittmann C, Loose M (2002) Ecology and ecophysiology of tree stems: corticular and wood photosynthesis. Sci Nat 89(4):147–162. https://doi.org/10.1007/s00114-002-0309-z
Sands PJ, Landsberg JJ (2002) Parameterisation of 3-PG for plantation grown Eucalyptus globulus. Forest Ecol Manag 163(1–3):273–292. https://doi.org/10.1016/S0378-1127(01)00586-2
Saveyn A, Steppe K, Ubierna N, Dawson TE (2010) Woody tissue photosynthesis and its contribution to trunk growth and bud development in young plants. Plant Cell Environ 33(11):1949–1958. https://doi.org/10.1111/j.1365-3040.2010.02197.x
Schaedle M, Iannacconte P, Foote KC (1968) Hill reaction capacity of isolated quaking aspen bark chloroplasts. For Sci 14:222–223
Tausz M, Warren CR, Adams MA (2005) Is the bark of shining gum (Eucalyptus nitens) a sun or a shade leaf? Trees 19(4):415–421. https://doi.org/10.1007/s00468-004-0400-5
Team RC (2019) R: a language and environment for statistical computing, version 3.0. 2. Vienna, Austria: R Foundation for Statistical Computing, 2013
Teskey RO, Saveyn A, Steppe K, McGuire MA (2008) Origin, fate and significance of CO2 in tree stems. New Phytol 177:17–32. https://doi.org/10.1111/j.1469-8137.2007.02286.x
Trotsiuk V, Hartig F, Forrester DI, Goslee S (2020) r3PG–an r package for simulating forest growth using the 3-PG process-based model. Methods Ecol Evol 11(11):1470–1475. https://doi.org/10.1111/2041-210X.13474
Vorster AG, Evangelista PH, Stovall AEL, Ex S (2020) Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations. Carbon Balance Manag 15(1):8. https://doi.org/10.1186/s13021-020-00143-6
Waring R, Running S (1998) Forest ecosystems: analysis at multiple scales, 2nd edn. Academic Press
Wen Y, Zhou X, Yu S, Zhu H (2018) Difficulties and countermeasures in the development of global Eucalyptus plantation. Guangxi Sci 25(02):107–116
Wittmann C, Pfanz H (2008) Antitranspirant functions of stem periderms and their influence on corticular photosynthesis under drought stress. Trees 22(2):187–196. https://doi.org/10.1007/s00468-007-0194-3
Wittmann C, Pfanz H (2016) The optical, absorptive and chlorophyll fluorescence properties of young stems of five woody species. Environ Exp Bot 121:83–93. https://doi.org/10.1016/j.envexpbot.2015.05.007
Wittmann C, Aschan G, Pfanz H (2001) Leaf and twig photosynthesis of young beech (Fagus sylvatica) and aspen (Populus tremula) trees grown under different light regime. Basic Appl Ecol 2(2):145–154. https://doi.org/10.1078/1439-1791-00047
Xu DQ (2002) Photosynthetic efficiency. Shanghai publisher of Science and Technology
Yang HL, Yang X, Zhang YG et al (2017) Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest. Glob Chang Biol 23(7):2874–2886. https://doi.org/10.1111/gcb.13590
Zerga B (2015) Ecological impacts of Eucalyptus plantation in eza wereda, Ethiopia. Int Inv J Agric Soil Sci 3(4):47–51
Zhang Y, Wang X (2021) Geographical spatial distribution and productivity dynamic change of Eucalyptus plantations in China. Sci Rep 11(1):1–15. https://doi.org/10.1038/s41598-021-97089-7
Zhu LW, Zhao P, Cai XA et al (2012) Effects of sap velocity on the daytime increase of stem CO2 efflux from stems of Schima superba trees. Trees 26:535–542. https://doi.org/10.1007/s00468-011-0615-1
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This study was supported by the National Nature Science Foundation of China (32171539), National Nature Science United Foundation of China (U21A2003), and Provincial Nature Science Foundation of Guangdong (2019A1515011993).
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Chen, X., Luo, M., Kang, Y. et al. Comparison between the stem and leaf photosynthetic productivity in Eucalyptus urophylla plantations with different age. Planta 257, 56 (2023). https://doi.org/10.1007/s00425-023-04094-3
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DOI: https://doi.org/10.1007/s00425-023-04094-3