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林业科学 ›› 2009, Vol. 12 ›› Issue (9): 13-17.doi: 10.11707/j.1001-7488.20090903

• 论文 • 上一篇    下一篇

基于森林资源连续清查资料估算的浙江省森林生物量及生产力

张茂震1 王广兴2 刘安兴3   

  1. 1.浙江林学院环境科技学院 临安 311300; 2.南伊利诺伊大学地理和环境资源系 卡本代尔 IL 62901 USA; 3.浙江省林业调查规划院 杭州 310020
  • 收稿日期:2008-09-01 修回日期:1900-01-01 出版日期:2009-09-25 发布日期:2009-09-25
  • 基金资助:
     

Estimation of Forest Biomass and Net Primary Production for Zhejiang Province Based on Continuous Forest Resources Inventory

Zhang Maozhen1,Wang Guangxing2,Liu Anxing3   

  1. 1.School of Environmental Sciences & Technologies, Zhejiang Forestry University Linan 311300; 2.Department of Geography and Environmental Resources, Southern Illinois University Carbondale IL 62901, USA; 3.Zhejiang Institute of Forestry Inventory and Planning Hangzhou 310020
  • Received:2008-09-01 Revised:1900-01-01 Online:2009-09-25 Published:2009-09-25
  • Supported by:
     

摘要:

基于1994,1999和2004年浙江省森林资源连续清查数据,采用基于生物量与蓄积之间关系的生物量换算因子连续函数法,对浙江省森林生物量和生产力进行估计。结果表明: 全省3期森林生物量分别为1.496亿,1.615亿和2.244亿t。林分平均单位面积生产力在1994—1999年间为1.557 t·hm-2a-1,在1999—2004年间为2.060 t·hm-2a-1; 浙江省森林资源总量不断增加,但林分质量仍然较低,林分单位面积生物量和生产力都远低于全国平均水平; 换算因子连续函数法适合于大尺度森林生物量和生产力估算,但在总体单位蓄积很低的情况下可能导致森林生物量被高估。

关键词: 森林资源连续清查, 生物量, 生产力, 蓄积量, 生物量换算因子连续函数, 浙江省

Abstract:

Based on data from the continuous forest inventories (CFI) in 1994, 1999 and 2004, the forest biomass and the net primary production (NPP) of Zhejiang Province was estimated with the variable biomass expansion factor function (variable BEFF) method that is derived from the relationship between biomass and volume. The results showed that the total forest biomass of Zhejiang Province was 1.496×101, 1.615×101, and 2.244×101 t in 1994, 1999 and 2004, respectively. The average NPP of forest stands was 1.557 and 2.060 t·hm-2a-1 from 1994 to 1999 and from 1999 to 2004, respectively. The provincial forest resources was thus characterized with increasing total forest biomass and relatively low quality. The biomass and the NPP of forest stands per hectare were much lower than that of the nationwide averages. The results also demonstrated that the variable BEFF method is applicable for estimating forest biomass and NPP at regional level, but may lead to overestimation of forest biomass when volume stock per hectare is very low.

Key words: continuous forest inventory, biomass, net primary production, growing stock, variable biomass expansion factor function (variable BEFF), Zhejiang Province

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