期刊文献+

一个新的通用性相对生长生物量模型 被引量:18

A New General Biomass Allometric Model
下载PDF
导出
摘要 针对West等(1997;1999)提出的理论生物量模型与经验模型存在显著差异的问题,对应用最广的一元生物量模型M=aDb的2个参数进行专题研究。首先,基于几何学的观点推导出参数b的理论值为7/3(≈2.33),与大量已有研究结果的对比表明,该理论参数值能够很好地描述地上生物量与胸径之间的平均相对生长关系;然后,利用包含1441株样木的5组立木生物量数据对新提出的通用性理论模型进行验证;最后,分析参数a与木材密度ρ之间的相关性,并建立二者之间的线性回归模型。新的模型既简单明了,又能反映不同树种之间的生物量差异,可为建立用于区域性和国家级森林生物量估计的通用性生物量模型提供可行途径。 To implement monitoring and assessment of national forest biomass, it is becoming the trend to develop generalized single-tree biomass models suitable for large scale forest biomass estimation. Considering that the theoretical biomass allometric model developed by West et al. (1997; 1999) was statistically different from the empirical one, the two parameters in the most commonly used biomass equation M=aDb were analyzed in this paper. Firstly, based on the ideas of geometry, the theoretical value of parameter b was deduced, i.e. , b=7/3(≈2.33), and the comparison with many empirical studies conducted throughout the globe indicated that the theoretical parameter could describe soundly the average allometric relationship between above-ground biomass M and D (diameter on breast height). Secondly, using 5 biomass datasets which consisted of 1 441 M-D pairs of sample trees, the new general biomass allometric model was validated. Finally, the relationship between parameter a and wood density ρ was analyzed, and the linear regression was developed. The new model, which is not only simple but also species-specific, offers a feasible approach on establishment of generalized biomass models for regional and national forest biomass estimation.
出处 《林业科学》 EI CAS CSCD 北大核心 2012年第1期48-52,共5页 Scientia Silvae Sinicae
基金 国家自然科学基金项目(31070485)
关键词 相对生长模型 生物量估计 几何学 理论参数 木材密度 allometric model biomass estimation geometry theoretical parameter wood density
  • 相关文献

参考文献23

  • 1曾伟生,廖志云.削度方程的研究[J].林业科学,1997,33(2):127-132. 被引量:53
  • 2曾伟生,骆期邦,贺东北.论加权回归与建模[J].林业科学,1999,35(5):5-11. 被引量:113
  • 3Case B, Hall R J. 2008. Assessing prediction errors of generalized tree biomass and volume equations for the boreal forest region of west- central Canada. Can J For Res, 38(4) : 878 -889.
  • 4Chojnacky D C. 2002. Allometric scaling theory applied to FIA biomass estimation. Proceedings of the third annual forest inventory and analysis symposium, GTR NC-230, North Central Research Station, Forest Service USDA, 96 - 102.
  • 5Fournier R A, Luther J E, Guindon L, et al. 2003. Mapping aboveground tree biomass at the stand level from inventory information: test cases in Newfoundland and Quebec. Can J For Res, 33(10) : 1846 - 1863.
  • 6Hansen M. 2002. Volume and biomass estimation in FIA: National consistency vs. regional accuracy. Proceedings of the third annual forest inventory and analysis symposium, GTR NC-230, North Central Research Station, Forest Service USDA, 109 - 120.
  • 7Jenkins J C, Chojnacky D C, Heath L S, et al. 2003. National-scale biomass estimators for United States tree species. For Sci, 49 ( 1 ) : 12 -35.
  • 8Mandelbrot B B. 1983. The fractal geometry of nature. W. N. Freeman, New York, 468.
  • 9Muukkonen P. 2007. Generalized allometric volume and biomass equations for some tree species in Europe. Eur J Forest Res, 126(2) : 157 -166.
  • 10Navar J. 2009. Allometric equations for tree species and carbon stocks for forests of northwestern Mexico. Forest Ecology and Management, 257 (2) : 427 - 434.

二级参考文献17

  • 1曾伟生.关于加权最小二乘法中权函数的选择问题[J].中南林业调查规划,1996,15(1):54-55. 被引量:23
  • 2曾伟生,廖志云.削度方程的研究[J].林业科学,1997,33(2):127-132. 被引量:53
  • 3中华人民共和国林业部.林业专业调查主要技术规定[M].北京:中国林业出版社,1990..
  • 4刘璋温 吴国富.选择回归模型的几个准则.数学的实践与认识,1983,1(3):63-71.
  • 5何美成,林业资源管理,1993年,5期,42页
  • 6张铁砚,林业资源管理,1992年,3期,37页
  • 7严富海,南京林业大学学报,1992年,16卷,3期,31页
  • 8孟宪宇,南京林产工业学院学报,1982年,1期,122页
  • 9中华人民共和国林业部,林业专业调查主要技术规定,1990年
  • 10盛承懋(译),应用回归分析,1989年

共引文献161

同被引文献328

引证文献18

二级引证文献150

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部