鲁中采煤沉陷区不同竹种根系功能性状及与土壤理化特性的相关性

王杰慧; 李丹; 张伟丽; 李旭东; 张忠峰; 李霞; 张仲超; 赵红霞

doi:10.12390/jbr2022063

鲁中采煤沉陷区不同竹种根系功能性状及与土壤理化特性的相关性

doi: 10.12390/jbr2022063

1. 聊城大学农学与农业工程学院, 山东聊城 252059;
2. 山东农业工程学院创新创业学院, 山东济南 250100;
3. 山东兴润园林生态股份有限公司, 山东肥城 271600

基金项目:

聊城大学博士科研启动基金(31805)；横向课题(K20LD2201)

详细信息

作者简介:
王杰慧，硕士研究生，从事景观生态研究。E-mail：1063711876@qq.com。

通讯作者:
赵红霞，讲师，博士，从事园林规划设计、景观生态等研究。E-mail：zhaohxia1314@163.com

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出版历程
- 收稿日期: 2022-05-11

Root Functional Characters of Different Bamboo Species and Their Correlation with Soil Physical and Chemical Properties in Coal Mining Subsidence Area of Central Shandong Province

1. College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng 252059, Shandong, China;
2. College of Innovation and Entrepreneurship, Shandong Agriculture and Engineering University, Jinan 250100, Shandong, China;
3. Shandong Xingrun Landscape & Ecology Share Co., Ltd., Feicheng 271600, Shandong, China

摘要

摘要: 为揭示不同竹种对采煤沉陷区土壤环境的适应能力，研究了山东省肥城市石横镇采煤沉陷区百竹园4个竹种的根系功能性状及其与土壤理化特性的关系。结果表明：(1)土壤含水率和速效钾含量均与根长密度、根表面密度存在显著正相关，与根组织密度呈显著负相关(P<0.05)；pH值、有机质含量与比根长、比表面积存在显著正相关，与根组织密度、平均根直径呈显著负相关(P<0.05)。(2)淡竹竹根系总根长密度(737.784 m·m^-3)、根表面积密度(1.121 m²·m^-3)均为最大，表明淡竹吸收养分与水分的能力最强；金镶玉竹根系的比根长(5.213 m·g^-1)与比表面积(66.214 cm²·g^-1)最大，表明其资源获取速率最强；其中淡竹通过高根组织密度和低比根长获取资源的策略适应土壤环境。(3)根系生物量与根长密度、根表面密度呈显著正相关(P<0.05)，淡竹根系总生物量显著大于其他竹种，可见淡竹通过增加根系生物量和密集鞭根网络系统可抑制采煤沉陷区土壤侵蚀。
- 采煤沉陷区 /
- 根系功能性状 /
- 形态特征 /
- 土壤因子 /
- 竹种
Abstract: In order to reveal the adaptability of different bamboo species to soil environment in coal mining subsidence area, the root functional characters of four bamboo species and their relationship with soil physical and chemical properties were studied in Baizhu Garden in coal mining subsidence area of Shiheng Town, Feicheng City, Shandong Province. The results showed: (1) Soil moisture content and available potassium content were significantly and positively correlated with root length density and root surface density, but significantly and negatively correlated with root tissue density (P<0.05). pH value and organic matter content were significantly and positively correlated with specific root length and specific root surface area, but significantly and negatively correlated with root tissue density and average root diameter (P<0.05). (2) The total root length density (737.784 m·m^-3) and root surface area density (1.121 m²·m^-3) of Phyllostachys glauca were the highest, indicating this bamboo species had the strongest ability to absorb nutrients and water. The specific root length (5.213 m·g^-1) and specific root surface area (66.214 cm²·g^-1) of Phyllostachys aureosulcata ‘Spectabilis’ were the largest, indicating the highest resource acquisition rate. The high root tissue density and low specific root length can be the resource acquisition strategy of Phyllostachys glauca as it's adapted to the soil environment. (3) There was a significant positive correlation between root biomass and root length density or root surface density (P<0.05). Total root biomass of Phyllostachys glauca was significantly higher than that of the other bamboo species. It was concluded that Phyllostachys glauca could control soil erosion in coal mining subsidence area by increasing root biomass and dense root network system.
- Coal mining subsidence area /
- Root functional character /
- Morphological characteristics /
- Soil factor /
- Bamboo species

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参考文献(40)

[1]	高岩，党晓宏，蒙仲举，等. 采煤沉陷区植物根系损伤及修复研究进展[J]. 内蒙古林业科技，2020，46(4)：50-55.
[2]	胡振琪，多玲花，王晓彤. 采煤沉陷地夹层式充填复垦原理与方法[J]. 煤炭学报，2018，43(1)：198-206.
[3]	张敏，刘潇丽，王宁. 浅析泰安市采煤沉陷地的整治与研究[J]. 农村科学实验，2017(5)：126，124.
[4]	唐丽伟，焦玉国，徐飞，等. 肥城市采煤塌陷区治理模式探索研究[J]. 山东国土资源，2020，36(2)：56-60.
[5]	侯国强，张子安，杨志孝，等. 泰安肥城徐东区粮和油微量元素及重金属含量的测定与分析[J]. 泰山医学院学报，2009，30(10)：774-776.
[6]	李锋. 泰安土壤重金属现状调查及评价[D]. 泰安：山东农业大学，2011.
[7]	黄晓娜，李新举，刘宁，等. 煤矿沉陷区不同复垦年限土壤颗粒组成分形特征[J]. 煤炭学报，2014，39(6)：1140-1146.
[8]	郭友红. 采煤沉陷区污染物调查与修复[J]. 矿山测量，2019，47(4)：130-134.
[9]	范英宏，陆兆华，程建龙，等. 中国煤矿区主要生态环境问题及生态重建技术[J]. 生态学报，2003，23 (10)：2144-2152.
[10]	郗红超，李富平，鲁明星，等. 植物根系在矿区生态修复中的应用研究进展[J]. 江苏农业科学，2019，47(5)：19-22.
[11]	杨富玲，石杨，李斌，等. 植物根系分泌物在污染及沙化土壤修复中的应用现状与前景[J]. 应用生态学报，2021，32(7)：2623-2632.
[12]	黄红英，刘静华，杨家绅，等. 不同修复年限斑茅根系下土壤动物群落结构及季节特征[J]. 韶关学院学报，2018，39(3)：58-63.
[13]	Reich P B, Buschena C, Tjoelker M G, et al. Variation in growth rate and ecophysiology among 34 grassland and savanna species under contrasting N supply: A test of functional group differences[J]. New Phytologist, 2003, 157: 617-631.
[14]	Markesteijn L, Poorter L. Seedling root morphology and biomass allocation of 62 tropical tree species in relation to drought- and shade-tolerance[J]. Journal of Ecology. 2009, 97(2): 311-325.
[15]	Kong D L, Wang J J, Wu H F, et al. Nonlinearity of root trait relationships and the root economics spectrum[J]. Nat Commun, 2019, 10(1): 2203.
[16]	王志保. 滨海吹填土植物细根特征及对土壤特性和树种多样性的响应[D]. 上海：华东师范大学，2020.
[17]	梁金华. 内蒙古荒漠化草原四种植物的根系构型特点及其生态适应性研究[D]. 呼和浩特：内蒙古农业大学，2012.
[18]	陈俊任. 重金属胁迫下毛竹根系耐性响应特征及其活化机制[D]. 杭州：浙江农林大学，2016.
[19]	骆仁祥，张春霞，王福升，等. 毛竹等3个竹种的根系分布特征及其林地土壤抗冲性比较研究[J]. 竹子研究汇刊，2009，28(4 )：23-26.
[20]	吴丹. 沙地樟子松人工林根系及土壤养分分布特征研究[D]. 阜新：辽宁工程技术大学，2020.
[21]	卞方圆. 重金属污染土壤的竹林修复研究[D]. 北京：中国林业科学研究院，2018.
[22]	卞方圆，钟哲科，张小平，等. 毛竹和伴矿景天对重金属污染土壤的修复作用和对微生物群落的影响[J]. 林业科学，2018，54(8)：106-116.
[23]	周本智. 基于小观察窗技术的竹林地下系统动态研究[D]. 北京：中国林业科学研究院，2006.
[24]	Pregitzer K S. Fine roots of trees-A new perspective[J]. New Phytologist, 2002, 154(2): 267-270.
[25]	童亮，李平衡，周国模，等. 竹林鞭根系统研究综述[J]. 浙江农林大学学报，2019，36(1)：183-192.
[26]	张颖，赵欣，张圣虎，等. 竹类植物修复重金属污染土壤的研究进展[J]. 生态与农村环境学报，2021，37(1)：30-38.
[27]	张琦. 南竹北移适应性评价及对低温的生理响应[D]. 泰安：山东农业大学，2021.
[28]	Sullivan P F, Sommerkorn M, Rueth H M, et al. Climate and species affect fine root production with long-term fertilization in acidic tussock tundra near Toolik Lake, Alaska[J]. Oecologia, 2007, 153(3): 643-652.
[29]	Bai W M, Zhou M, Fang Y, et al. Differences in spatial and temporal root lifespan of three Stipa grasslands in Northern China[J]. Biogeochemistry, 2017, 132(3): 293-306.
[30]	施建敏，叶学华，陈伏生，等. 竹类植物对异质生境的适应:表型可塑性[J]. 生态学报，2014，34 (20)：5687-5695.
[31]	王楠. 模拟酸雨对毛竹阔叶林根系和土壤生态过程的影响[D]. 哈尔滨：东北林业大学，2020.
[32]	纪文文，王立海，时小龙，等. 基于树木雷达的小兴安岭典型树种粗根分布及其影响因素研究[J]. 北京林业大学学报，2020，42(5)：33-41.
[33]	陈逸飞，林晨蕾，张硕，等. 郭岩山不同海拔丝栗栲细根功能性状及其与土壤因子的关系[J]. 热带亚热带植物学报，2022，30(3)：413-422.
[34]	Hajek P, Hertel, D, Leuschner C. Intraspecific variation in root and leaf traits and leaf-root trait linkages in eight aspen demes (Populus tremula and P. tremuloides)[J]. Frontiers in Plant Science, 2013, 4: 415.
[35]	Eissenstat D M. Root structure and function in an ecological context[J]. New Phytologist, 2000, 148: 353-354.
[36]	Fernández R J, Wang M, Reynolds J F. Do morphological changes mediate plant responses to water stress? A steady-state experiment with two C₄ grasses[J]. New Phytologist, 2002, 155: 79-88.
[37]	吴茜，丁佳，闫慧，等. 模拟降水变化和土壤施氮对浙江古田山5个树种幼苗生长和生物量的影响[J]. 植物生态学报，2011，35(3 )：256-267.
[38]	Fujii S，Kasuya N.Fine root biomass and morphology of Pinus densiflora under competitive stress by Chamaecyparis obtuse[J]. Journal of Forest Research, 2008, 13(3): 185-189.
[39]	Wang Y, Wang J M, Yang H, et al. Groundwater and root trait diversity jointly drive plant fine root biomass across arid inland river basin[J]. Plant and Soil, 2021, 469(1-2): 369-385.
[40]	Kaushal R, Tewari S, Banik R L, et al. Root distribution and soil properties under 12-year old sympodial bamboo plantation in Central Himalayan Tarai Region, India[J]. Agroforest Systems, 2020, 94(3): 917-932.