资源与生态学报 ›› 2020, Vol. 11 ›› Issue (4): 331-341.DOI: 10.5814/j.issn.1674-764x.2020.04.001

• •    下一篇

天然林和人工林生物量对温度和降水变化的响应是否存在差异?以欧亚大陆两针松为例

USOLTSEV Vladimir Andreevich1,2, SHOBAIRI Seyed Omid Reza1,*(), TSEPORDEY Ivan Stepanovich2, AHRARI Amirhossein3, 张猛4, SHOAIB Ahmad Anees5, CHASOVSKICHH Viktor Petrovich1   

  1. 1. 乌拉尔国家森林工程大学,叶卡捷琳堡 620100,俄罗斯
    2. 俄罗斯科学院植物园乌拉尔分校,叶卡捷琳堡 620144,俄罗斯
    3. 德黑兰大学地理学院遥感与GIS系,德黑兰 14155-6619, 伊朗
    4. 中南林业科技大学林业遥感与信息工程研究中心,长沙 410004
    5. 北京林业大学林学院,北京市精准林业重点实验室,北京 100083
  • 收稿日期:2020-02-18 接受日期:2020-05-15 出版日期:2020-07-30 发布日期:2020-09-30
  • 通讯作者: SHOBAIRI Seyed Omid Reza

Are There Differences in the Response of Natural Stand and Plantation Biomass to Changes in Temperature and Precipitation? A Case for Two-needled Pines in Eurasia

USOLTSEV Vladimir Andreevich1,2, SHOBAIRI Seyed Omid Reza1,*(), TSEPORDEY Ivan Stepanovich2, AHRARI Amirhossein3, ZHANG Meng4, SHOAIB Ahmad Anees5, CHASOVSKIKH Viktor Petrovich1   

  1. 1. Ural State Forest Engineering University, Yekaterinburg 620100, Russia
    2. Botanical Garden, Russian Academy of Sciences, Ural Branch, Yekaterinburg 620144, Russia
    3. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 14155-6619, Iran
    4. Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China
    5. Beijing Key Laboratory of Precision Forestry, Forestry College, Beijing Forestry University, Beijing 100083, China
  • Received:2020-02-18 Accepted:2020-05-15 Online:2020-07-30 Published:2020-09-30
  • Contact: SHOBAIRI Seyed Omid Reza
  • About author:USOLTSEV Vladimir Andreevich, E-mail: Usoltsev50@mail.ru
  • Supported by:
    The Current Scientific Research of the Ural Forest Engineering University and Botanical Garden of the Ural Branch of Russian Academy of Sciences(15-04-03-899)

摘要:

对天然林和人工林在生产力和稳定性方面的比较研究一直是森林生态学的重要研究内容之一。森林砍伐导致人工林逐步取代了天然林,在此背景下,研究全球气候变化下森林碳储存能力的变化就显得非常重要。本文在跨大陆水平上以两针松(Pinus L.)为例首次回答了这个问题。本文使用作者收集的有关欧亚大陆森林的单树生物量结构数据库,对 1880株天然林林木和1967株人工林林木的数据进行了相关研究。基于林木生物量结构的原始数据、一月平均温度和年平均降水量等,采用多元回归模型,研究了温度与降水对森林生物量的影响。结果发现,随着一月温度和降水量的增加,同等规模和同等树龄的天然林和人工林地上和茎生物量均有所增加,但这种关系仅对枝条部分的生物量有效,而对树叶生物量的影响应具体问题具体分析;同时,人工林的所有组成部分的生物量均高于天然林树种的生物量,但在林木的不同组成部分之间这种差别的程度有所不同,并且主要取决于一月的温度水平,而与年降水量关系不大。当然,在建模的各个环节都存在许多不确定性,本文的结论只是对影响林木生物量的气候因素的初步认识。

关键词: 两针松, 天然林分和人工林, 回归模型, 生物量方程, 一月平均温度, 年降水量

Abstract:

A comparative discussion of the advantages and disadvantages of natural stands and plantations, including in terms of their productivity and stability, began from the moment of the first forest plantings and continues to this day. In the context of the progressive replacement of natural forests by plantations due to deforestation, the question of how will change the carbon storage capacity of forest cover when replacing natural forests with artificial ones in a changing climate becomes extremely relevant. This article presents the first attempt to answer this question at the transcontinental level on a special case for two-needled pine trees (subgenus Pinus L.). The research was carried out using the database compiled by the authors on the single-tree biomass structure of forest-forming species of Eurasia, in particular, data of 1880 and 1967 of natural and plantation trees, respectively. Multi-factor regression models are calculated after combining the matrix of initial data on the structure of tree biomass with the mean January temperature and mean annual precipitation, and their adequacy indices allow us to consider them reproducible. It is found that the aboveground and stem biomass of equal-sized and equal-aged natural and plantation trees increases as the January temperature and precipitation rise. This pattern is only partially valid for the branches biomass, and it has a specific character for the foliage one. The biomass of all components of plantation trees is higher than that of natural trees, but the percent of this excess varies among different components and depends on the level of January temperatures, but does not depend at all on the level of annual precipitation. A number of uncertainties that arose during the modeling process, as well as the preliminary nature of the obtained regularities, are noted.

Key words: two-needled pine trees, natural stands and plantations, regression models, biomass equations, mean January temperature, annual precipitation