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林业科学 ›› 2019, Vol. 55 ›› Issue (9): 22-30.doi: 10.11707/j.1001-7488.20190903

• 论文与研究报告 • 上一篇    下一篇

小兴安岭8种阔叶树在不同叶生长期的叶面积经验模型

施月园1, 王彦君1, 金光泽1,2, 刘志理1,2   

  1. 1. 东北林业大学生态研究中心 哈尔滨 150040;
    2. 东北林业大学森林生态系统可持续经营教育部重点实验室 哈尔滨 150040
  • 收稿日期:2018-11-05 修回日期:2019-08-12 发布日期:2019-10-28
  • 基金资助:
    国家自然科学基金项目(31600587);中央高校基本科研业务费专项资金(2572018CG03);黑龙江博士后基金项目(LBH-TZ1802)。

Empirical Model for Leaf Area of Eight Broadleaf Species in Different Leaf Growth Periods

Shi Yueyuan1, Wang Yanjun1, Jin Guangze1,2, Liu Zhili1,2   

  1. 1. Center for Ecological Research, Northeast Forestry University Harbin 150040;
    2. Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University Harbin 150040
  • Received:2018-11-05 Revised:2019-08-12 Published:2019-10-28

摘要: [目的]构建小兴安岭8种阔叶树在不同叶生长期的叶面积经验模型,以期为快捷、准确地测定不同叶形阔叶植物的叶面积及其动态变化提供技术支持。[方法]以小兴安岭地区阔叶红松林内的白桦、紫椴、色木槭、青楷槭、枫桦、水曲柳、春榆和裂叶榆8种阔叶树种为对象,在叶生长期(5月底)、叶稳定期(7月中旬)和叶凋落初期(9月初),分别测定叶长L、叶宽W及叶面积LA,并以叶长与叶宽之比(叶长宽比)的中位数为基准,将8种树种分为2组,构建适于预测不同树种在不同叶生长期的通用LA经验模型,并评估模型预测精度;最后以2种灌木为例检验了经验模型预测其他阔叶植物LA的适用性。[结果]8种阔叶树种在不同叶生长期的LA最优模型均为幂函数;对叶长宽比小于1.5(中位数)的树种组,5和7月的LA经验模型为LA=0.618×L1.197W0.806,预测精度为81%~96%,9月的经验模型为LA=0.581×L1.332W0.671,预测精度为83%~94%;对叶长宽比大于1.5的树种组,5月的LA经验模型为LA=0.627×L0.975W1.063,预测精度为91%~95%,7月的经验模型为LA=0.705×L0.876W1.146,预测精度为92%~96%,9月的经验模型为LA=0.607×L0.970W1.076,预测精度为92%~95%;利用这些模型预测毛榛(叶长宽比小于1.5)和暴马丁香(叶长宽比大于1.5)不同叶生长期LA的精度为88%~94%。[结论]对不同叶生长期需构建不同经验模型来预测LA,以叶长宽比为分类标准对多种阔叶树进行分类是可行的,且基于乔木树种构建的经验模型能有效预测灌木的LA,研究结果可为快捷、高效地预测其他阔叶植物的LA提供技术支持。

关键词: 叶面积, 叶长, 叶宽, 叶长宽比, 经验模型

Abstract: [Objective] We constructed empirical models for leaf area(LA) of eight broadleaf species in Xiaoxing'an Mountains in order to provide technical support for rapid and accurate determination of LA and their dynamics of broadleaf plants with different leaf shapes.[Method] We took eight broadleaf species in a mixed broadleaved-Korean pine (Pinus koraiensis) forest in the Xiaoxing'an Mountains, including Betula platyphylla, Tilia amurensis, Acer mono, Acer tegmentosum, Betula costata, Fraxinus mandschurica, Ulmus japonica and U. laciniata, to measure their leaf length (L), width (W) and LA in the leaf growth periods (late May), stable period (middle July) and early leaf-fall period (early September). Based on the median of the ratio of L to W, the eight species was divided into two groups. A general LA empirical model for predicting different leaf growth periods of different species was constructed, and the prediction accuracy (FC) of the empirical model was evaluated. Finally, we tested the applicability of empirical models for predicting LA of other broadleaf plants by taking two shrubs as examples.[Result] The optimal model types for predicting LA of eight broadleaf species in different leaf growth periods were all power functions. For species group with ratio of L to W less than 1.5 (median), the empirical model for predicting LA was LA=0.618×L1.197W0.806 in May and July and FC was 81%-96%, and LA=0.581×L1.332W0.671 and FC was 83%-94% in September. For species group with ratio of L to W more than 1.5, the empirical model for predicting LA was LA=0.627×L0.975W1.063 in Mayand FC was 91%-95%, and LA=0.705×L0.876W1.146 and FC was 92%-96% in July,and LA=0.607×L0.970W1.076 and FC was 92%-95% in September. The FC of these models for predicting Corylus mandshurica (ratio of L to W lower than 1.5) and Syringa reticulata var. Amurensis (ratio of L to W larger than 1.5) in different leaf growth periods ranged from 88% to 94%.[Conclusion] For different leaf growth periods, different empirical models should be constructed to predict LA. It is feasible to classify a variety of broadleaf species according to the ratio of L to W, and the empirical models constructed based on trees can also effectively predict the LA of shrubs. The result can provide technical support for quick and efficient LA prediction of other broadleaf plants.

Key words: leaf area, length, width, the ratio of length to width, empirical model

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