广西林业科学 ›› 2024, Vol. 53 ›› Issue (1): 18-26.DOI: 10.19692/j.issn.1006-1126.20240103

• 研究论文 • 上一篇    下一篇

立地因子对柠条生物量动态变化的影响

王博1, 许昊2, 金学娟1, 王晓华1, 锁岚1   

  1. 1.宁夏大学 农学院,宁夏银川 750021;
    2.宁夏大学 经济管理学院,宁夏银川 750021
  • 收稿日期:2023-05-05 出版日期:2024-02-29 发布日期:2024-03-07
  • 通讯作者: 许 昊(1988 — ),男,博士,讲师,主要从事林业可持续经营研究。
  • 作者简介:王 博(2001 — ),男,硕士,主要从事森林生态研究。
  • 基金资助:
    宁夏自然科学基金项目(2022AAC03033)

Effects of Site Factors on Dynamic Changes of Caragana korshinskii Biomass

Wang Bo1, Xu Hao2, Jin Xuejuan1, Wang Xiaohua1, Suo Lan1   

  1. 1. College of Agriculture, Ningxia University, Yinchuan, Ningxia 750021, China;
    2. College of Economics and Management, Ningxia University, Yinchuan, Ningxia 750021, China
  • Received:2023-05-05 Online:2024-02-29 Published:2024-03-07

摘要: 灌木为我国西北干旱半干旱地区主要的植被类型,对其生物量进行动态预测有助于对该地区灌木林初级生产力和碳储量进行评价。以灌木树种柠条(Caragana korshinskii)为研究对象,基于Logistic理论生长方程,分析以立地因子及其交互作用为哑变量对模型的影响,构建柠条生物量动态预测模型,探索立地因子影响下灌木生物量动态变化规律。结果表明,坡度和坡向均对柠条生物量影响极显著,坡度的影响大于坡向,海拔的影响不显著;以单个立地因子为哑变量时,各模型的预测精度均表现为参数c>参数b>参数a;坡向与坡度交互作用哑变量引入参数b处时,模型表现最优(adj-R2=0.887 5)。研究结果揭示了柠条生物量动态变化对立地条件的响应机制,可为研究区柠条生物量预测提供参考。

关键词: 立地因子, 哑变量, 生物量, 柠条

Abstract: Shrubs are main vegetation types in arid and semi-arid areas of northwest China. Dynamic prediction of shrub biomass is conductive to evaluate primary productivity and carbon storage of shrub forests in the region. Taking shrub species Caragana korshinskii as study subject, based on Logistic theoretical growth equations, effects of taking site factors and their interactions as dummy variables on models were analyzed, and dynamic prediction model of C. korshinskii biomass was constructed to explore dynamic change rules of shrub biomass under effects of site factors. Results showed that effects of slope gradient and slope aspect on C. korshinskii biomass were extremely significant, and effect of slope gradient was greater than that of slope aspect. Effect of altitude was not significant. When single site factor was used as dummy variable, prediction accuracies of different models ranked as parameter c>parameter b>parameter a. Model introduced to parameter b based on interaction of slope aspect and slope gradient as dummy variable performed best (adj-R2=0.887 5). Results could clarify response mechanism of dynamic changes of C. korshinskii biomass to site conditions, and provide references for prediction of C. korshinskii biomass in study area.

Key words: site factor, dummy variable, biomass, Caragana korshinskii

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