Spatial patterns and impacting factors of leaf potassium content among different functional groups of herbaceous plants across China

He Yicheng; Tian Dashuan; Wang Jinsong; Fu Yiwen; Wei Xuehong; Li Jingwen

doi:10.12171/j.1000-1522.20200324

Journal of Beijing Forestry University > 2021 > 43(8): 83-89. > DOI: 10.12171/j.1000-1522.20200324

He Yicheng, Tian Dashuan, Wang Jinsong, Fu Yiwen, Wei Xuehong, Li Jingwen. Spatial patterns and impacting factors of leaf potassium content among different functional groups of herbaceous plants across China[J]. Journal of Beijing Forestry University, 2021, 43(8): 83-89. DOI: 10.12171/j.1000-1522.20200324

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Spatial patterns and impacting factors of leaf potassium content among different functional groups of herbaceous plants across China

1.
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
2.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3.
Suzhou University, Suzhou 234000, Anhui, China
4.
Tibet Agriculture and Animal Husbandry University, Nyingchi 860000, Tibet, China

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Received Date: October 26, 2020
Revised Date: November 23, 2020
Available Online: July 11, 2021
Published Date: August 30, 2021

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Abstract

Abstract

Objective Potassium (K) is a vital element to sustain plant growth and high water-use efficiency, especially in the current context of increasing aridification. However, previous studies on plant K have mostly been conducted at local scale, and it is still unclear that what difference exists in the spatial patterns and controlling factors of leaf K content among different herb functional groups across large scale.
Method Based on an analysis of 685 herbaceous plants across 158 sampling sites in China, this study aims to reveal the spatial patterns of leaf K content among different herb functional groups, and further quantify the relationship of leaf K with climate or soil nutrients.
Result Our results showed that: (1) herb leaf K content across China increased linearly with latitude, but decreased with longitude. Its spatial patterns were different among varied functional groups. (2) These patterns of leaf K were mainly driven by humid index and soil total nitrogen. (3) The impacting factors of the spatial patterns were different among varied functional groups. Leaf K in annual herb was significantly affected by both humid index and soil total nitrogen, while it was only influenced by soil total nitrogen for perennial herb. Leaf K in herbs with low K use efficiency was mainly affected by humid index and soil total nitrogen, but it was impacted by soil total nitrogen and total phosphorus for herbs with high K use efficiency. The main impacting factor of leaf K in Asteraceae and Cyperaceae herbs was soil total nitrogen, but humid index for Poaceae herbs.
Conclusion This study is the first to systematically compare and reveal the difference in the spatial patterns and key controlling factors of leaf K among different herb functional groups across China. These results have important implications for understanding the adaptive mechanisms of plant functional groups and the dynamics of plant community composition with increasing global aridification.
- leaf potassium content,
- herb,
- functional group,
- spatial pattern,
- drought adaptation

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References

[1]	Han W X, Fang J Y, Reich P B, et al. Biogeography and variability of eleven mineral elements in plant leaves across gradients of climate, soil and plant functional type in China[J]. Ecology Letters, 2011, 14(8): 788−796. doi: 10.1111/j.1461-0248.2011.01641.x
[2]	Pettigrew W T. Potassium influences on yield and quality production for maize, wheat, soybean and cotton[J]. Physiologia Plantarum, 2008, 13: 670−681.
[3]	Sardans J, Peñuelas J. Potassium: a neglected nutrient in global change[J]. Global Ecology & Biogeography, 2015, 24(3): 261−275.
[4]	IPCC, 2019: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems.
[5]	Sardans J, Peñuelas J, Coll M, et al. Stoichiometry of potassium is largely determined by water availability and growth in Catalonian forests[J]. Functional Ecology, 2012, 26(5): 1077−1089. doi: 10.1111/j.1365-2435.2012.02023.x
[6]	Singh S K, Reddy V R, Sicher R C. Seasonal critical concentration and relationships of leaf phosphorus and potassium status with biomass and yield traits of soybean[J]. Journal of Plant Nutrition and Soil Science, 2018, 181: 575−585. doi: 10.1002/jpln.201700392
[7]	Lu Z, Xie K, Pan Y, et al. Potassium mediates coordination of leaf photosynthesis and hydraulic conductance by modifications of leaf anatomy[J]. Plant Cell Environment, 2019, 42: 2231−2244. doi: 10.1111/pce.13553
[8]	Mao W, Ginger A, Li Y L, et al. Life history strategy influences biomass allocation in response to limiting nutrients and water in an arid system[J]. Polish Journal of Ecology, 2012, 60: 381−389.
[9]	Kanai S, Moghaieb R E, El-Shemy H A, et al. Potassium deficiency affects water status and photosynthetic rate of the vegetative sink in green house tomato prior to its effects on source activity[J]. Plant Science, 2011, 180: 368−374. doi: 10.1016/j.plantsci.2010.10.011
[10]	Boxman A W, Cobben P L W, Roelofs J G M. Does (K + Mg + Ca + P) fertilization lead to recovery of tree health in a nitrogen stressed Quercus rubra L. stand?[J]. Environmental Pollution, 1994, 85: 297−303. doi: 10.1016/0269-7491(94)90051-5
[11]	Neirynck J, Maddelein D, de Keersmaeker L, et al. Biomass and nutrient cycling of a highlyproductive Corsican pine stand on former heathland in northern Belgium[J]. Annales des Sciences Forestieres, 1998, 55: 389−405. doi: 10.1051/forest:19980401
[12]	姜存仓, 王运华, 鲁剑巍, 等. 植物钾效率基因型差异机理的研究进展[J]. 华中农业大学学报, 2004(4):483−487. doi: 10.3321/j.issn:1000-2421.2004.04.023 Jiang C C, Wang Y H, Lu J W, et al. Advances of study on the K-efficiency in different plant genotypes[J]. Journal of Huazhong Agricultural University, 2004(4): 483−487. doi: 10.3321/j.issn:1000-2421.2004.04.023
[13]	Graham R D. Breeding for nutritional charact eristi c in cereals[J]. Advance Plant Nutrition, 1984(1): 57−107.
[14]	汪自强, 董明远. 不同钾水平下春大豆品种的钾利用效率研究[J]. 大豆科学, 1996, 15(3):202−207. Wang Z Q, Dong M Y. Potassium use efficiency of spring soybean under various potassium supply[J]. Soybean Science, 1996, 15(3): 202−207.
[15]	Watson R, Pritchard J, Malone M. Direct measurement of sodium and potassium in the transpirating stream of salt-excluding and non-excluding varieties of wheat[J]. Journal of Experimental Botany, 2001, 52: 1873−1881. doi: 10.1093/jexbot/52.362.1873
[16]	Sharifi M, Cheema M, Mcvicar K, et al. Evaluation of liming properties and potassium bioavailability of three Atlantic Canada wood ash sources[J]. Canadian Journal of Plant Science, 2013, 93(6): 1209−1216. doi: 10.4141/cjps2013-168
[17]	Chen G, Hu Q, Luo L, et al. Rice potassium transporter O sHAK 1 is essential for maintaining potassium-mediated growth and functions in salt tolerance over low and high potassium concentration ranges[J]. Plant Cell Environment, 2015(38): 2747−2765.
[18]	Wright S J, Yavitt J B, Wurzburger N, et al. Potassium, phosphorus, or nitrogen limit root allocation, tree growth, or litter production in a lowland tropical forest[J]. Ecology, 2011, 92: 1616−1625. doi: 10.1890/10-1558.1
[19]	Tobias C, Carly J S, Luc D, et al. Soil phosphorus constrains biodiversity across European grasslands[J]. Global Change Biology, 2014, 20(12): 3814−3822. doi: 10.1111/gcb.12650
[20]	陈琼, 李肖夏, 王慧. 菊科12种外来植物的有性繁殖特征和入侵风险研究[J]. 植物科学学报, 2018, 36(3):345−353. doi: 10.11913/PSJ.2095-0837.2018.30345 Chen Q, Li X X, Wang H. Investigation on sexual reproduction and invasion risk of 12 alien Compositae species[J]. Plant Science Journal, 2018, 36(3): 345−353. doi: 10.11913/PSJ.2095-0837.2018.30345
[21]	Spalink D, Drew B T, Pace M C, et al. Biogeography of the cosmopolitan sedges (Cyperaceae) and the area-richness correlation in plants[J]. Journal of Biogeography, 2016, 43: 1893−1904. doi: 10.1111/jbi.12802
[22]	Linder H P, Lehmann C E R, Archibald S, et al. Global grass (Poaceae) success underpinned by traits facilitating colonization, persistence and habitat transformation[J]. Biological Reviews, 2018, 93: 1125−1144. doi: 10.1111/brv.12388
[23]	Dong J, Cui X, Wang S, et al. Changes in biomass and quality of alpine steppe in response to N & P fertilization in the Tibetan Plateau[J/OL]. PLoS ONE, 2016, 11(5): e0156146 [2020−10−13]. https://doi.org/10.1371/journal.pone.0156146.
[24]	Chapin III F S, Moilanen L. Nutritional controls over nitrogen and phosphorus resorption from Alaskan birch leaves[J]. Ecology, 1991, 72: 709−715. doi: 10.2307/2937210
[25]	史培军, 孙劭, 汪明, 等. 中国气候变化区划(1961—2010年)[J]. 中国科学: 地球科学, 2014, 44(10):2294−2306. doi: 10.1360/zd-2014-44-10-2294 Shi P J, Sun S, Wang M, et al. The climate regionalization in China for 1961−2010[J]. Scientia Sinica (Terrae), 2014, 44(10): 2294−2306. doi: 10.1360/zd-2014-44-10-2294
[26]	Tomlinson K W, Poorter L, Sterck F J, et al. Leaf adaptations of evergreen and deciduous trees of semiarid and humid savannas on three continents[J]. Journal of Ecology, 2013, 101(2): 430−440. doi: 10.1111/1365-2745.12056
[27]	Oliveira R H, Rosolem C A, Trigueiro R M. Importance of mass flow and diffusion on the potassium supply to cotton plants as affected by soil water and potassium[J]. Revista Brasileira Ciencia Solo, 2004, 28: 439−445. doi: 10.1590/S0100-06832004000300005
[28]	Fyllas N M, Patino S, Baker T R, et al. Basin-wide variations in foliar properties of Amazonian forest: phylogeny, soils and climate[J]. Biogeosciences, 2009(6): 2677−2708.
[29]	Tian D S , Niu S L. A global analysis of soil acidification caused by nitrogen addition[J]. Environmental Research Letters, 2015, 10 (2): 1714−1721.
[30]	Yang T, Zhang S, Hu Y, et al. The role of a potassium transporter OsHAK5 in potassium acquisition and trans port from roots to shoots in rice at low potassium supply levels[J]. Plant Physiology, 2014, 166: 945−959. doi: 10.1104/pp.114.246520
[31]	陈光, 高振宇, 徐国华. 植物响应缺钾胁迫的机制及提高钾利用效率的策略[J]. 植物学报, 2017, 52(1):89−101. doi: 10.11983/CBB16231 Chen G, Gao Z Y, Xu G H. Adaption of plants to potassium deficiency and strategies to improve potassium use efficiency[J]. Chinese Bulletin of Botany, 2017, 52(1): 89−101. doi: 10.11983/CBB16231
[32]	Li F, Hu H, McCormlack M L, et al. Community-level economics spectrum of fine-roots driven by nutrient limitations in subalpine forests[J]. Journal of Ecology, 2019, 107: 1238−1249. doi: 10.1111/1365-2745.13125
[33]	王艳丽, 王京, 刘国顺, 等. 磷施用量对烤烟根系生理及叶片光合特性的影响[J]. 植物营养与肥料学报, 2016, 22(2):410−417. doi: 10.11674/zwyf.14437 Wang Y L, Wang J, Liu G S, et al. Effects of different phosphorus levels on root physiological and leaf photosynthetic characteristics of flue-cured tobacco[J]. Journal of Plant Nutrition and Fertilizers, 2016, 22(2): 410−417. doi: 10.11674/zwyf.14437
[34]	Wang H Y, Zhou J M, Du C W, et al. Potassium fractions in soils as affected by monocalcium phosphate, ammonium sulfate, and potassium chloride application[J]. Pedosphere, 2010, 20(3): 0−377.
[35]	Britzke D, da Silva L S, Moterle D F, et al. A study of potassium dynamics and mineralogy in soils from subtropical Brazilian lowlands[J]. Journal of Soils and Sediments, 2012, 12: 185−197. doi: 10.1007/s11368-011-0431-7
[36]	Casper B B, Ferseth I N, Kempenich H, et al. Drought prolongs leaf life span in the herbaceous desert perennial Cryptantha flava[J]. Functional Ecology, 2001, 15: 740−747. doi: 10.1046/j.0269-8463.2001.00583.x
[37]	Alon M, Sternberg M. Effects of extreme drought on primary production, species composition and species diversity of a Mediterranean annual plant community[J]. Journal of Vegetation Science, 2019, 30: 1045−1061. doi: 10.1111/jvs.12807
[38]	胡承孝, 王运华. 不同小麦品种钾吸收、分配特性及其钾营养效率的差异[J]. 华中农业大学学报, 2000, 19(3):233−239. doi: 10.3321/j.issn:1000-2421.2000.03.011 Hu C X, Wang Y H. Variation among wheat varieties in characteristics of potassium uptake and distribution, and potassium nutrition efficiency[J]. Journal of Huazhong Agricultural University, 2000, 19(3): 233−239. doi: 10.3321/j.issn:1000-2421.2000.03.011
[39]	Lobban C S, Harrison P J, Duncan M J. The physio-logical ecology of seaweeds[M]. New York: Cambridge University Press, 1985: 11−22.
[40]	赵燕, 王辉, 李吉跃. 氮、磷、钾对毛白杨幼苗光合生理的影响[J]. 西北林学院学报, 2015, 30(5):34−38, 137. doi: 10.3969/j.issn.1001-7461.2015.05.06 Zhao Y, Wang H, Li Y J. Effects of nitrogen, phosphorus and potassium on photosynthetic physiology of Populus tomentosa seedlings[J]. Journal of Northwest Forestry University, 2015, 30(5): 34−38, 137. doi: 10.3969/j.issn.1001-7461.2015.05.06
[41]	Cakmak I. The role of potassium in alleviating detrimental effects of abiotic stresses in plants[J]. Journal of Plant Nutrition and Soil Science, 2005, 168: 521−530. doi: 10.1002/jpln.200420485
[42]	Arquero O, Barranco D, Benlloch M. Potassium starvation increases stomatal conductance in olive trees[J]. Hort Science, 2006, 41: 433−436.
[43]	Levi A, Paterson A H, Cakmak I, et al. Metabolite and mineral analyses of cotton near-isogenic lines introgressed with QTLs for productivity and drought-related traits[J]. Physiologia Plantarum, 2011, 141: 265−275. doi: 10.1111/j.1399-3054.2010.01438.x
[44]	Liu H Y, Mi Z R, Lin L, et al. Shifting plant species composition in response to climate change stabilizes grassland primary production[J]. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115: 4051−4056. doi: 10.1073/pnas.1700299114
[45]	Moroney J R, Rundel P W, Sork V L. Phenotypic plasticity and differentiation in fitness-related traits in invasive populations of the Mediterranean forb Centaurea melitensis (Asteraceae)[J]. American Journal of Botany, 2013, 100: 2040−2051. doi: 10.3732/ajb.1200543
[46]	Spalink D, Pender J, Escudero M, et al. The spatial structure of phylogenetic and functional diversity in the United States and Canada: an example using the sedge family (Cyperaceae)[J]. Journal of Systematics and Evolution, 2018, 56: 449−465. doi: 10.1111/jse.12423

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Spatial patterns and impacting factors of leaf potassium content among different functional groups of herbaceous plants across China