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研究报告: 植物多样性

高温热浪和虫食对校园植物的作用强度及其与叶功能性状的关系

  • 李若月 ,
  • 杨小超 ,
  • 郝占庆 ,
  • 贾仕宏
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  • 西北工业大学生态环境学院, 陕西省秦岭生态智能化监测与保护重点实验室, 西安 710129

收稿日期: 2024-07-01

  录用日期: 2024-12-10

  网络出版日期: 2025-01-19

基金资助

国家自然科学基金(32001120)

The intensity of heat waves and insect herbivory on campus plants and their relationship with leaf functional traits

  • Ruoyue Li ,
  • Xiaochao Yang ,
  • Zhanqing Hao ,
  • Shihong Jia
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  • School of Ecology and Environment, Northwestern Polytechnical University; Shaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, Northwestern Polytechnical University, Xi’an 710129, China

Received date: 2024-07-01

  Accepted date: 2024-12-10

  Online published: 2025-01-19

Supported by

National Natural Science Foundation of China(32001120)

摘要

近年来, 高温热浪等极端天气事件频发。2022年, 我国出现大范围持续高温天气, 综合强度为1961年有完整气象观测记录以来最强。高温热浪事件不仅直接影响植物生长, 而且可能通过改变虫食强度间接影响植物命运。本研究聚焦西北工业大学校园内常见的11种木本植物, 测量了97个个体共计2,358片叶片受高温热浪和虫食的影响强度, 及叶面积、比叶面积、叶干物质含量与叶厚4种叶功能性状。研究对比了高温热浪和虫食作用强度在不同树种之间的差异, 以探究各作用强度随叶功能性状的变化规律, 以及高温热浪和虫食作用强度之间的关系。研究发现: (1)日灼损伤频度、虫食率与虫食频度3个指标在物种之间存在显著差异。(2)日灼损伤频度与叶面积呈显著负相关关系, 与叶厚和叶干物质含量呈显著正相关关系; 虫食率和虫食频度均与叶干物质含量呈显著正相关关系, 与叶厚呈显著(或近显著)负相关关系, 虫食频度还与叶面积呈显著正相关关系。(3)叶片的虫食频度与日灼损伤频度之间存在显著负相关关系。本研究对于揭示极端气候下植物的响应与适应, 以及耐受高温热浪或虫食的园林树种选育具有一定参考价值。

本文引用格式

李若月 , 杨小超 , 郝占庆 , 贾仕宏 . 高温热浪和虫食对校园植物的作用强度及其与叶功能性状的关系[J]. 生物多样性, 2025 , 33(1) : 24283 . DOI: 10.17520/biods.2024283

Abstract

Aims: In recent years, extreme weather events, such as high-temperature heat waves, have become increasingly frequent. In 2022, China experienced widespread and prolonged high temperatures, marking the most intense heat wave since comprehensive meteorological records began in 1961. These high-temperature heat wave events not only directly affect plant growth, but may also indirectly affect plant fitness by altering the intensity of herbivory. This study aims to clarify interspecies differences in the intensity of high-temperature heat wave damage and herbivory, investigate their relationships with leaf functional traits, and explore the interactions between high-temperature heat wave effects and the intensity of herbivory.

Methods: This study focused on 11 common woody plant species on the campus of Northwestern Polytechnical University. Data were collected from 97 individuals, encompassing 2,358 leaves, to measure the intensity of sunburn damage and herbivory, alongside four leaf functional traits (leaf area, specific leaf area (SLA), leaf dry matter content (LDMC), and leaf thickness). One-way ANOVA was employed to assess interspecies differences in heat wave and herbivory intensity, while generalized linear mixed-effects model were used to identify patterns relating these intensities to leaf functional traits. Correlation between heat wave damage and herbivory intensity was also analyzed.

Results: (1) Significant interspecies differences were observed in sunburn damage frequency, herbivory rate and herbivory frequency. (2) The frequency of sunburn damage was negatively correlated with leaf area but positively correlated with leaf thickness and LDMC. Both herbivory rate and herbivory frequency were positively correlated with LDMC but negatively correlated with leaf thickness, while herbivory frequency also exhibited a positively correlation with leaf area. (3) A negative correlation was detected between herbivory frequency and sunburn damage frequency.

Conclusion: This study provides insights into responses of common woody plant species to extreme heat wave events and herbivory, identifies key leaf functional traits associated with these responses. Furthermore, it highlights the interplay between heat wave damage and herbivory intensity. The findings provide valuable guidance for understanding plant adaptation strategies under extreme climatic conditions and for selecting garden tree species that can withstand high-temperature heat waves or herbivory.

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参考文献

[1] Abrams MD (1994) Genotypic and phenotypic variation as stress adaptations in temperate tree species: A review of several case studies. Tree Physiology, 14, 833-842.
[2] Awmack CS, Leather SR (2002) Host plant quality and fecundity in herbivorous insects. Annual Review of Entomology, 47, 817-844.
[3] Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1-48.
[4] Brooks ME, Kristensen K, van Benthem KJ, Magnusson A, Berg CW, Nielsen A, Skaug HJ, Maechler M, Bolker BM (2017) glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R Journal, 9, 378-400.
[5] Cingolani AM, Posse G, Collantes MB (2005) Plant functional traits, herbivore selectivity and response to sheep grazing in patagonian steppe grasslands. Journal of Applied Ecology, 42, 50-59.
[6] Coley PD, Barone JA (1996) Herbivory and plant defenses in tropical forests. Annual Review of Ecology and Systematics, 27, 305-335.
[7] Cui T, Sun LH, Zhang C, Li Y, Ye DX, Chen Y, Ai WX, Li W (2023) Characteristics and causes of extreme heat events in China in summer. Meteorological and Environmental Sciences, 46(3), 1-8. (in Chinese with English abstract)
  [崔童, 孙林海, 张驰, 李莹, 叶殿秀, 陈峪, 艾婉秀, 李威 (2023) 2022年夏季中国极端高温事件特点及成因初探. 气象与环境科学, 46(3), 1-8.]
[8] Elger A, Willby NJ (2003) Leaf dry matter content as an integrative expression of plant palatability: The case of freshwater macrophytes. Functional Ecology, 17, 58-65.
[9] Garibaldi LA, Kitzberger T, Ruggiero A (2011) Latitudinal decrease in folivory within Nothofagus pumilio forests: Dual effect of climate on insect density and leaf traits. Global Ecology and Biogeography, 20, 609-619.
[10] Hu HY, Zheng Z, Wang J, Li ZP, Lin XB, Yang XD (2017) Study on insect herbivory of dominant plants and its influencing factors in tropical forest fragments. Journal of Central South University of Forestry & Technology, 37(10), 98-104. (in Chinese with English abstract)
  [胡鸿雁, 郑征, 王瑾, 李志鹏, 林小兵, 杨效东 (2017) 片段化热带森林优势植物叶虫食及其影响因素研究. 中南林业科技大学学报, 37(10), 98-104.]
[11] IPCC (Intergovernmental Panel on Climate Change) (2021) Climate Change 2021: The Physical Science Basis. https://www.ipcc.ch/report/ar6/wg1/. (accessed on 2021-08-09)
[12] Jia SH, Yang XC, Castagneyrol B, Yang LSN, Yin QL, He CM, Yang ZC, Zhu YZ, Hao ZQ (2024) Neighbouring tree effects on leaf herbivory: Insect specialisation matters more than host plant leaf traits. Journal of Ecology, 112, 189-199.
[13] Koricheva J, Larsson S, Haukioja E (1998) Insect performance on experimentally stressed woody plants: A meta-analysis. Annual Review of Entomology, 43, 195-216.
[14] Liu HW, Liu WD, Wang W, Chai J, Tao JP (2015) Leaf traits and nutrient resorption of major woody species in the karst limestone area of Chongqing. Acta Ecologica Sinica, 35, 4071-4080. (in Chinese with English abstract)
  [刘宏伟, 刘文丹, 王微, 柴捷, 陶建平 (2015) 重庆石灰岩地区主要木本植物叶片性状及养分再吸收特征. 生态学报, 35, 4071-4080.]
[15] Liu ZG, Jing J, Li K, Cai YL (2013) Insect herbivory characteristic on leaves of plant species in the evergreen broad-leaved forests. Ecology and Environmental Sciences, 22, 78-84. (in Chinese with English abstract)
  [刘志国, 景军, 李恺, 蔡永立 (2013) 亚热带阔叶林植物叶片虫食特征研究. 生态环境学报, 22, 78-84.]
[16] Luo YQ, Yu MS, Yu JJ, Zheng SL, Liu JJ, Yu MJ (2017) Effects of plant traits and the relative abundance of common woody species on seedling herbivory in the Thousand Island Lake region. Chinese Journal of Plant Ecology, 41, 1033-1040. (in Chinese with English abstract)
  [骆杨青, 余梅生, 余晶晶, 郑诗璐, 刘佳佳, 于明坚 (2017) 千岛湖地区常见木本植物性状和相对多度对幼苗植食作用的影响. 植物生态学报, 41, 1033-1040.]
[17] McCluney KE, Sabo JL (2009) Water availability directly determines per capita consumption at two trophic levels. Ecology, 90, 1463-1469.
[18] Okajima Y, Taneda H, Noguchi K, Terashima I (2012) Optimum leaf size predicted by a novel leaf energy balance model incorporating dependencies of photosynthesis on light and temperature. Ecological Research, 27, 333-346.
[19] R Core Team (2021) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
[20] Schneider CA, Rasband WS, Eliceiri KW (2012) NIH Image to ImageJ: 25 years of image analysis. Nature Methods, 9, 671-675.
[21] Song H, Yu HY, Chen YT, Xu ZZ, Zhou GS (2016) Leaf economics spectrum among different plant functional types in Beijing Botanical Garden, China. Chinese Journal of Applied Ecology, 27, 1861-1869. (in Chinese with English abstract)
  [宋贺, 于鸿莹, 陈莹婷, 许振柱, 周广胜 (2016) 北京植物园不同功能型植物叶经济谱. 应用生态学报, 27, 1861-1869.]
[22] The Herbivory Variability Network (2023) Plant size, latitude, and phylogeny explain within-population variability in herbivory. Science, 382, 679-683.
[23] Tsukaya H (2005) Leaf shape: Genetic controls and environmental factors. The International Journal of Developmental Biology, 49, 547-555.
[24] Wang XF, Gao WQ, Liu JF, Ni YY, Jiang ZP (2015) Plant defensive strategies and environment-driven mechanisms. Chinese Journal of Ecology, 34, 3542-3552. (in Chinese with English abstract)
  [王小菲, 高文强, 刘建锋, 倪妍妍, 江泽平 (2015) 植物防御策略及其环境驱动机制. 生态学杂志, 34, 3542-3552.]
[25] Werger MJA, Ellenbroek GA (1978) Leaf size and leaf consistence of a riverine forest formation along a climatic gradient. Oecologia, 34, 297-308.
[26] Wetzel WC, Inouye BD, Hahn PG, Whitehead SR, Underwood N (2023) Variability in plant-herbivore interactions. Annual Review of Ecology, Evolution, and Systematics, 54, 451-474.
[27] Wright IJ, Dong N, Maire V, Prentice IC, Westoby M, Díaz S, Gallagher RV, Jacobs BF, Kooyman R, Law EA, Leishman MR, Niinemets ü, Reich PB, Sack L, Villar R, Wang H, Wilf P (2017) Global climatic drivers of leaf size. Science, 357, 917-921.
[28] Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender-Bares J, Chapin T, Cornelissen JHC, Diemer M, Flexas J, Garnier E, Groom PK, Gulias J, Hikosaka K, Lamont BB, Lee TL, Lee W, Lusk C, Midgley JJ, Navas ML, Niinemets U, Oleksyn J, Osada N, Poorter H, Poot P, Prior L, Pyankov VI, Roumet C, Thomas SC, Tjoelker MG, Veneklaas EJ, Villar R (2004) The worldwide leaf economics spectrum. Nature, 428, 821-827.
[29] Xiao JH, Wu KM, Yan B, Gan HH, Gan HS (2013) The analysis of impact and response measures of extreme heat and drought on garden plants in Xinyang City. Journal of Henan Forestry Science and Technology, 33(4), 37-40, 57. (in Chinese with English abstract)
  [萧建华, 吴孔明, 晏波, 甘华华, 甘海珊 (2013) 极端高温干旱对园林植物的影响及对策研究. 河南林业科技, 33(4), 37-40, 57.]
[30] Yang YK, Wang YP, Yang H, Zhang H, Wang YH (2022) Changes of leaf structure and physiological indexes during senescence of ginseng leaves. Plant Physiology Journal, 58, 393-401. (in Chinese with English abstract)
  [杨玉坤, 王英平, 杨鹤, 张浩, 王轶晗 (2022) 人参叶片衰老过程中叶片结构及生理指标变化. 植物生理学报, 58, 393-401.]
[31] Ying YX, Huang HY, Wu ZB, Huang P, Hu YL (2025) Effects of leaf traits on interspecific differences of leaf herbivory characteristics in subtropical evergreen broad-leaf forest. Chinese Journal of Applied and Environmental Biology, 31, 53-62. (in Chinese with English abstract)
  [应宇馨, 黄恒宇, 巫智斌, 黄佩, 胡亚林 (2025) 亚热带常绿阔叶林优势植物叶性状对叶片虫食特征种间差异的影响. 应用与环境生物学报, 31, 53-62.]
[32] Zhang HP, Ning QR, Li Q, Jin Y, Cao Y, Bakpa EP, Zhao H, Song J, Ye PC, Wen Y, Song LJ, Liu H (2024) Contrasting heat tolerance of evergreen and deciduous urban woody species during heat waves. Functional Ecology, 38, 1649-1660.
[33] Zhang JH, Gao MY, Liu XX (2008) Damage of high temperature in summer to the gardening plants and corresponding measures for prevention. Shaanxi Forest Science and Technology, 36(2), 46-49. (in Chinese with English abstract)
  [张金环, 高梦莹, 刘晓霞 (2008) 夏季高温对园林植物的危害及预防措施. 陕西林业科技, 36(2), 46-49.]
[34] Zhou YY, Lin H (2023) Variation of leaf thermal traits and plant adaptation strategies of canopy dominant tree species along temperature and precipitation gradients. Chinese Journal of Plant Ecology, 47, 733-744. (in Chinese with English abstract)
  [周莹莹, 林华 (2023) 不同水热梯度下冠层优势树种叶片热力性状及适应策略的变化趋势. 植物生态学报, 47, 733-744.]
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