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草业学报 ›› 2013, Vol. 22 ›› Issue (6): 1-10.DOI: 10.11686/cyxb20130601

• 研究论文 •    下一篇

荒漠灌木生物量多尺度估测——以梭梭为例

陶冶1,2,张元明1*   

  1. 1.中国科学院干旱区生物地理与生物资源重点实验室 中国科学院新疆生态与地理研究所, 新疆 乌鲁木齐 830011;
    2.中国科学院大学,北京 100049
  • 出版日期:2013-12-20 发布日期:2013-12-20
  • 通讯作者: 陶冶(1983-),男,安徽宿州人,在读博士。E-mail:xishanyeren@163.com
    *通讯作者。E-mail:zhangym@ms.xjb.ac.cn
  • 作者简介:陶冶(1983-),男,安徽宿州人,在读博士。
  • 基金资助:
    国家国际科技合作计划(2010DFA92720-06)和国家自然科学基金项目(U1203301,41201056)资助。

Multi-scale biomass estimation of desert shrubs: a case study of Haloxylon ammodendron in the Gurbantunggut Desert, China

TAO Ye1,2, ZHANG Yuan-ming1   

  1. 1.Xinjiang Institute of Ecology and Geography, Key Laboratory of Biogeography and Bioresource in Arid Land, Chinese Academy of Sciences, Urumqi 830011, China;
    2.University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2013-12-20 Published:2013-12-20

摘要: 灌木是荒漠生态系统重要的组成部分,其生物量估算与分配特征是研究荒漠生态系统结构、功能、物质和能量流动的重要指标。但目前关于荒漠灌木生物量的研究仍较缺乏。破坏性的生物量估测方法不适宜在生态系统脆弱的荒漠地区大面积使用,因此通过模型法对灌木生物量进行多尺度估测具有重要意义。本研究以准噶尔荒漠生态系统建群种——梭梭为例,选择多种植物外部形态特征参数,利用相关生长模型(幂函数),分别在单株、样方及区域尺度对梭梭的地上(AGB)和地下生物量(BGB)进行建模和估算。结果表明,以植冠体积(CH)为指标的估测模型(AGB=0.3628×CH0.9605)能较好地反映梭梭单株地上生物量累计特征,而单株地下生物量可通过模型BGB=0.8737×AGB0.9394得到。样方内梭梭总冠幅面积(TC)是估测样方(0.1 hm2)总生物量(TAGB=0.6757×TC1.1343, TBGB=0.6384×TC1.0959)的有效参数。在大尺度上(区域),利用梭梭相对盖度(RC)估测其生物量密度(DAGB=0.0921×RC1.1343, DBGB=0.0796×RC1.0959)具有良好效果,进而结合区域面积得到梭梭总生物量。研究表明,相对盖度的方法从生物量密度的角度解决了尺度转换问题,使用时没有尺度限制。未来还可以通过航拍、遥感等手段快速获取相关区域梭梭群落相对盖度,结合上述模型准确估测其地上、地下生物量。

Abstract: Shrubs are an important component of desert ecosystems. Their biomass allocation and biomass estimation are important indices to study the structure, function, mass, and energy flow of desert ecosystems. However, research on desert shrub biomasses is still limited. The current destructive biomass estimation is unsuitable for use in arid lands where the ecosystem is weak, so it is important to estimate the shrub biomass using models at multiple scales. In this study, the constructive shrub species Haloxylon ammodendron in the Junggar Desert was used as an example. A number of plant morphological parameters were chosen, and the aboveground (AGB) and belowground biomass (BGB) models were established at the individual plant, plot and regional scales using allometric (power function) equations. The biomass estimation was then performed using the same model. Based on the canopy volume (CH), the formula AGB=0.3628×CH0.9605 accurately reflected the AGB individual accumulation characteristics. The individual BGB was estimated using BGB=0.8737×AGB0.9394. The total canopy cover (TC) of H. ammodendron was an effective parameter to calculate the total AGB and BGB (TAGB=0.6757×TC1.1343, TBGB=0.6384×TC1.0959) in sampling plots with an area of 0.1 hm2. On a large, regional scale, the relative canopy cover (RC) had a positive effect on estimating the AGB and BGB densities (DAGB=0.0921×RC1.1343, DBGB=0.0796×RC1.0959), from which the total regional biomass storage of H. ammodendron could be obtained. It showed that the issue of scaling was successfully resolved using the RC of the H. ammodendron biomass density. There was no scale limit when RC was used. In future, the RC of H. ammodendron can also be obtained quickly through aerial photography, remote sensing, etc, thus the total AGB and BGB in relevant regions would be estimated accurately using the aforementioned biomass density models.

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