全球智库信息集成服务系统(G2TT): Semi-empirical models for assessing biological productivity of Northern Eurasian forests.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.ecolmodel.2006.12.040
	Semi-empirical models for assessing biological productivity of Northern Eurasian forests.
	Shvidenko A; Shchepashchenko DG; Nilsson S; Bouloui Y
发表日期	2007
出处	Ecological Modelling 204 (1): 163-179
出版年	2007
语种	英语
摘要	The Richards-Chapman growth function was used as an analytical basis for a unified system of semi-empirical models describing the dynamics of the main biometric characteristics of major types of Northern Eurasian forests. The growth function was applied at the stand level using yield tables. The models received satisfactorily describe the diversity of growth patterns for different species and geographical regions of Northern Eurasia. A special type of model of biological productivity (MBP) has been developed combining the above growth models andmulti-dimensional regression equations of phytomass (living biomass). The latter have been parametrized for dominant tree species, site indexes and ecological regions based on 3507 sample plots collected in Northern Eurasia's forests. The MBP account for age dynamics of forest ecosystems and simulate dynamics of seven components of phytomass (stem wood over bark, bark, crown wood, foliage, understory, green forest floor, and roots) as well as net primary production. The model system could be used in different ecological applications, in forest inventory and forest management as a semi-empirical reference information on the growth and productivity of Northern Eurasias forests.
主题	Forestry (FOR)
关键词	System of growth and yield models Phytomass Net primary production Boreal forests Northern Eurasia
URL	http://pure.iiasa.ac.at/id/eprint/8205/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/128717
推荐引用方式 GB/T 7714	Shvidenko A,Shchepashchenko DG,Nilsson S,et al. Semi-empirical models for assessing biological productivity of Northern Eurasian forests.. 2007.