Abstract
Purpose
Leaf resorption is an important mechanism for plant nutrient conservation, but not all elements are resorbed by plants. It is generally believed that aluminum (Al) and iron (Fe) are not resorbed from old leaves due to the potentially toxic effects. However, positive Al and Fe resorption has been found in some specific cases. To date, no one has addressed these specific cases and the underlying mechanisms.
Methods
Here, a data synthesis was conducted to explore the patterns and controls on leaf resorption efficiency of Al and Fe based on 34 published studies with 272 data points.
Results
Low temperature and low soil pH may favor the positive resorption of Al from old leaves. Low precipitation and high soil pH may favor the positive resorption of Fe. In addition, the Fe resorption efficiency was positive in nitrogen-fixing plants (39.2%) but was negative in non-nitrogen-fixing plants (−30.5%).
Conclusions
This study highlights that Al and Fe can be resorbed from old leaves, depending mainly on plant functional group and soil environment. This knowledge is an important supplement for understanding leaf resorption processes, and is helpful in modeling global biogeochemical cycles.
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Data availability
The datasets in this work are available from Science Data Bank (https://www.scidb.cn/en/anonymous/ZnFtcVF6).
References
Aerts R (1996) Nutrient resorption from senescing leaves of perennials: are there general patterns? J Ecol 84:597–608. https://doi.org/10.2307/2261481
Bangert-Drowns RL, Hurley MM, Wilkinson B (2004) The effects of school-based writing-to-learn interventions on academic achievement: a meta-analysis. Rev Educ Res 74:29–58. http://www.jstor.org/stable/3516060
Baquy MA, Li J, Shi RY, Kamran MA, Xu R (2018) Higher cation exchange capacity determined lower critical soil pH and higher Al concentration for soybean. Environ Sci Pollut Res 25:6980–6989. https://doi.org/10.1007/s11356-017-1014-y
Bojórquez-Quintal E, Escalante-Magaña C, Echevarría-Machado I, Martínez-Estévez M (2017) Aluminum, a friend or foe of higher plants in acid soils. Front Plant Sci 8:1767. https://doi.org/10.3389/fpls.2017.01767
Calcagno V, de Mazancourt C (2010) Glmulti: an R package for easy automated model selection with (Generalized) linear models. J Stat Softw 34:1–29
Chang Y, Li N, Wang W, Liu X, Du F, Yao D (2017) Nutrients resorption and stoichiometry characteristics of different-aged plantations of Larix kaempferi in the Qinling Mountains, Central China. PLoS One 12:e0189424. https://doi.org/10.1371/journal.pone.0189424
Chapin FS (1991) Effects of multiple environmental stresses on nutrient availability and use. In: Mooney HA, Winner WE, Pell EJ (eds) Response of plants to multiple stresses. Academic Press, San Diego, pp 67–68
Chen H, Reed SC, Lü X, Xiao K, Wang K, Li D (2021) Global resorption efficiencies of trace elements in leaves of terrestrial plants. Funct Ecol 35:1596–1602. https://doi.org/10.1111/1365-2435.13809
Darnajoux R, Zhang X, McRose DL, Miadlikowska J, Lutzoni F, Kraepiel AML, Bellenger JP (2017) Biological nitrogen fixation by alternative nitrogenases in boreal cyanolichens: importance of molybdenum availability and implications for current biological nitrogen fixation estimates. New Phytol 213:680–689. https://doi.org/10.1111/nph.14166
Delgado M, Valle S, Barra PJ, Reyes-Díaz M, Zúñiga-Feest A (2019) New aluminum hyperaccumulator species of the Proteaceae family from southern South America. Plant Soil 444:475–487. https://doi.org/10.1007/s11104-019-04289-2
Du B, Ji H, Peng C, Liu X, Liu C (2017) Altitudinal patterns of leaf stoichiometry and nutrient resorption in Quercus variabilis in the Baotianman Mountains, China. Plant Soil 413:193–202. https://doi.org/10.1007/s11104-016-3093-9
Eckstein RL, Karlsson PS, Weih M (1999) Leaf life span and nutrient resorption as determinants of plant nutrient conservation in temperate-arctic regions. New Phytol 143:177–189. https://doi.org/10.1046/j.1469-8137.1999.00429.x
Georgiadis M, Komiya H, Chakrabarti P, Woo D, Kornuc J, Rees D (1992) Crystallographic structure of the nitrogenase iron protein from Azotobacter vinelandii. Science 257:1653–1659. https://doi.org/10.1126/science.1529353
Ghanati F, Morita A, Yokota H (2005) Effects of aluminum on the growth of tea plant and activation of antioxidant system. Plant Soil 276:133–141. https://doi.org/10.1007/s11104-005-3697-y
Haensch R, Mendel RR (2009) Physiological functions of mineral micronutrients (Cu, Zn, Mn, Fe, Ni, Mo, B, Cl). Curr Opin Plant Biol 12:259–266. https://doi.org/10.1016/j.pbi.2009.05.006
Hayes P, Turner BL, Lambers H, Laliberté E (2014) Foliar nutrient concentrations and resorption efficiency in plants of contrasting nutrient-acquisition strategies along a 2-million-year dune chronosequence. J Ecol 102:396–410. https://doi.org/10.1111/1365-2745.12196
Hell R, Stephan UW (2003) Iron uptake, trafficking and homeostasis in plants. Planta 216:541–551. https://doi.org/10.1007/s00425-002-0920-4
Hengl T, de Jesus JM, Heuvelink GBM, Gonzalez MR, Kilibarda M, Blagotic A, Shangguan W, Wright MN, Geng X, Bauer-Marschallinger B, Guevara MA, Vargas R, MacMillan RA, Batjes NH, Leenaars JGB, Ribeiro E, Wheeler I, Mantel S, Kempen B (2017) SoilGrids250m: global gridded soil information based on machine learning. PLoS One 12:e0169748. https://doi.org/10.1371/journal.pone.0169748
Kobe RK, Lepczyk CA, Iyer M (2005) Resorption efficiency decreases with increasing green leaf nutrients in a global data set. Ecology 86:2780–2792. https://doi.org/10.1890/04-1830
Liu C, Liu Y, Guo K, Wang S, Yang Y (2014) Concentrations and resorption patterns of 13 nutrients in different plant functional types in the karst region of South-Western China. Ann Bot 113:873–885. https://doi.org/10.1093/aob/mcu005
Lynch JP, Clair SBS (2004) Mineral stress: the missing link in understanding how global climate change will affect plants in real world soils. Field Crop Res 90:101–115. https://doi.org/10.1016/j.fcr.2004.07.008
Mishra V, Yadav AS, Mathur R (2020) Leaf nutrient dynamics of shrubs in a tropical dry deciduous forest in Rajasthan in North-West India. Trop Ecol 61:196–202. https://doi.org/10.1007/s42965-020-00080-y
Morrissey J, Guerinot ML (2009) Iron uptake and transport in plants: the good, the bad, and the ionome. Chem Rev 109:4553–4567. https://doi.org/10.1021/cr900112r
Palmer CM, Guerinot ML (2009) Facing the challenges of Cu, Fe and Zn homeostasis in plants. Nat Chem Biol 5:333–340. https://doi.org/10.1038/nchembio.166
Panda SK, Matsumoto H (2007) Molecular physiology of aluminum toxicity and tolerance in plants. Bot Rev 73:326–347. https://doi.org/10.1663/0006-8101(2007)73[326:Mpoata]2.0.Co;2
Prieto I, Querejeta JI (2020) Simulated climate change decreases nutrient resorption from senescing leaves. Glob Chang Biol 26:1795–1807. https://doi.org/10.1111/gcb.14914
R Core Team (2022) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. Accessed 28 Mar 2022
Sahrawat KL (2016) Soil and plant testing for Iron: an appraisal. Commun Soil Sci Plant Anal 47:280–283. https://doi.org/10.1080/00103624.2015.1122805
Schmitt M, Watanabe T, Jansen S (2016) The effects of aluminium on plant growth in a temperate and deciduous aluminium accumulating species. Aob Plants 8:plw065. https://doi.org/10.1093/aobpla/plw065
Sundstrom E, Magnusson T, Hanell B (2000) Nutrient conditions in drained peatlands along a north-south climatic gradient in Sweden. For Ecol Manag 126:149–161. https://doi.org/10.1016/s0378-1127(99)00098-5
van Groenigen KJ, Osenberg CW, Terrer C, Carrillo Y, Dijkstra FA, Heath J, Nie M, Pendall E, Phillips RP, Hungate BA (2017) Faster turnover of new soil carbon inputs under increased atmospheric CO2. Glob Chang Biol 23:4420–4429. https://doi.org/10.1111/gcb.13752
van Heerwaarden LM, Toet S, Aerts R (2003) Nitrogen and phosphorus resorption efficiency and proficiency in six sub-arctic bog species after 4 years of nitrogen fertilization. J Ecol 91:1060–1070. https://doi.org/10.1046/j.1365-2745.2003.00828.x
Vergutz L, Manzoni S, Porporato A, Novais RF, Jackson RB (2012) Global resorption efficiencies and concentrations of carbon and nutrients in leaves of terrestrial plants. Ecol Monogr 82:205–220. https://doi.org/10.1890/11-0416.1
Wright IJ, Westoby M (2003) Nutrient concentration, resorption and lifespan: leaf traits of Australian sclerophyll species. Funct Ecol 17:10–19. https://doi.org/10.1046/j.1365-2435.2003.00694.x
Xu J, Lin G, Liu B, Mao R (2020) Linking leaf nutrient resorption and litter decomposition to plant mycorrhizal associations in boreal peatlands. Plant Soil 448:413–424. https://doi.org/10.1007/s11104-020-04449-9
Yan L, Shah T, Cheng Y, Lu Y, Zhang X, Zou X (2019) Physiological and molecular responses to cold stress in rapeseed (Brassica napus L.). J Integr Agric 18:2742–2752. https://doi.org/10.1016/s2095-3119(18)62147-1
Yuan Z, Chen H (2009) Global-scale patterns of nutrient resorption associated with latitude, temperature and precipitation. Glob Ecol Biogeogr 18:11–18. https://doi.org/10.1111/j.1466-8238.2008.00425.x
Zhang M, Luo Y, Yan Z, Chen J, Eziz A, Li K, Han W (2019) Resorptions of 10 mineral elements in leaves of desert shrubs and their contrasting responses to aridity. J Plant Ecol 12:358–366. https://doi.org/10.1093/jpe/rty034
Acknowledgements
We thank Dr. Huaihai Chen for the internal review of our manuscript. This work was supported by Shenzhen Science and Technology Program (Grant No. JCYJ20220530150015035) and Young Teachers Team Project of Fundamental Research Funds for the Central Universities, Sun Yat-sen University (Project no. 22qntd2702). The work was also funded by Guangdong Dinghushan National Scientific Forest Ecosystem Observation and Research Field Station.
Funding
This work was supported by Shenzhen Science and Technology Program (Grant No. JCYJ20220530150015035) and Young Teachers Team Project of Fundamental Research Funds for the Central Universities, Sun Yat-sen University (Project no. 22qntd2702). The work was also funded by Guangdong Dinghushan National Scientific Forest Ecosystem Observation and Research Field Station.
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Hao Chen designed the study. Data extraction and analysis were performed by Nan Hu, Xibin Sun, Qianhao Xu, and Meimei Li. The first draft of the manuscript was written by Nan Hu and Hao Chen, and all authors contributed to the revision of the manuscript.
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Hu, N., Mao, Q., Zhong, X. et al. Factors driving the positive resorption of aluminum and iron from old leaves. Plant Soil 488, 443–450 (2023). https://doi.org/10.1007/s11104-023-05984-x
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DOI: https://doi.org/10.1007/s11104-023-05984-x