Biomass Model Establishment and Allocation of Dominant Tree Species in Altai Mountains

doi:10.13466/j.cnki.lyzygl.2018.04.007

Abstract

Abstract:

Accurate measurement of forest biomass is a basis of solving many forest or ecological problems,and also the premise of scientific management and utilization of forest ecosystems.In order to know characteristics of forest biomass in Altai Mountains,five dominant tree species as Larix sibirica,Pinus sibirica,Picea obovata,Abies sibirica and Betula pendula were selected,and the biomass of their trunks,branches,leaves,roots were measured,and biomass model established.The biomass of trunk,aboveground and underground biomass and total biomass of different stands were compared with the actual measured values.The results showed that W=aD ^bH^c was a suitable model in calculating biomass of these 5 tree species.The sequence of biomass of different organs was trunks > roots > branches > leaves.L.sibirica forest has largest biomass,and plays an important role in the stability and development of forest ecosystem in Altai Mountains.

Key words: biomass, model, distribution pattern, Altai Mountains, forest ecosystem, forest ecosystem

CLC Number:

S718.55 ⁺6

BAI Zhiqiang, LI Huan, WANG Wendong, LIU Duan, HAN Yanliang, LIU Hua. Biomass Model Establishment and Allocation of Dominant Tree Species in Altai Mountains[J]. FOREST RESOURCES WANAGEMENT, 2018, (4): 34-40.

Figures/Tables 7

Tab.1

Tab.2

Fig.1

Tab.3

Nonlinear biomass models of 5 tree species in Altai Mountain forest areas

树种	分量	模型
树种	分量	W=aD^b	R	W=aD^bH^c	R	W=a(D²H)^b	R	W=a(D²H)^bexp^cA	R
A	总量	W=0.08199D²^.⁵⁰⁸²⁸	0.994	W=0.01675D¹^.⁸²⁷³⁴H¹^.²⁹⁸⁸¹	0.997	W=0.02410(D²H)⁰^.⁹⁹⁴⁶⁸	0.997	W=0.01800(D²H)¹^.⁰⁴⁴⁷⁷exp^-0^.⁰⁰¹⁷⁵^A		0.997
	地上	W=0.06519D²^.⁵¹⁰⁹⁴	0.993	W=0.01073D¹^.⁷³⁷³³H¹^.⁴⁷⁵⁵⁸	0.997	W=0.01903(D²H)⁰^.⁹⁹⁶³³	0.996	W=0.01453(D²H)¹^.⁰⁴²⁶¹exp^-0^.⁰⁰¹⁶¹^A		0.997
	树干	W=0.05453D²^.⁵²⁸²⁴	0.992	W=0.00737D¹^.⁶⁷⁰¹¹H¹^.⁶³⁶⁷⁹	0.997	W=0.01571(D²H)¹^.⁰⁰³⁷¹	0.996	W=0.01176(D²H)¹^.⁰⁵³⁴⁴exp^-0^.⁰⁰¹⁷⁴^A		0.997
	树枝	W=0.01036D²^.³⁶⁶⁹¹	0.989	W=0.01057D²^.³⁷⁵³⁰H^-0^.⁰¹⁶⁰¹	0.989	W=0.00339(D²H)⁰^.⁹³⁴³⁷	0.988	W=0.00316(D²H)⁰^.⁹⁴⁶⁴³exp^-0^.⁰⁰⁰⁴²^A		0.988
	树叶	W=0.00034D²^.⁷⁴⁴⁰⁵	0.984	W=0.00002D¹^.⁵³⁶⁸⁵H²^.³⁰²⁶²	0.992	W=0.00009(D²H)¹^.⁰⁹¹¹⁹	0.990	W=0.00004(D²H)¹^.²²¹⁵⁷exp^-0^.⁰⁰⁴⁵⁵^A		0.992
	地下	W=0.01654D²^.⁴⁹⁵⁸⁴	0.994	W=0.00909D²^.²³⁹³⁴H⁰^.⁴⁸⁹²⁵	0.995	W=0.00501(D²H)⁰^.⁹⁸⁷⁰⁰	0.994	W=0.00366(D²H)¹^.⁰⁴⁰⁹³exp^-0^.⁰⁰¹⁸⁸^A		0.995
B	总量	W=1.78532D¹^.⁵²⁰⁹⁹	0.936	W=0.69646D⁰^.⁷²²¹⁸H¹^.³⁵⁶⁷⁷	0.969	W=1.08610(D²H)⁰^.⁵⁹⁷⁸⁵	0.959	W=3.06245(D²H)⁰^.⁴¹⁸⁷⁰exp⁰^.⁰⁰⁵⁵⁵^A		0.965
	地上	W=1.26223D¹^.⁵⁴⁷⁴⁰	0.941	W=0.49280D⁰^.⁷⁴⁹²⁸H¹^.³⁵⁵⁶⁰	0.974	W=0.76347(D²H)⁰^.⁶⁰⁷⁹⁰	0.964	W=2.08565(D²H)⁰^.⁴³⁴²²exp⁰^.⁰⁰⁵³⁸^A		0.969
	树干	W=0.02595D²^.⁵⁷²⁸⁷	0.982	W=0.01167D¹^.⁸⁹⁴⁵⁵H¹^.¹⁵²¹²	0.991	W=0.01278(D²H)⁰^.⁹⁹⁵⁹⁹	0.991	W=0.00910(D²H)¹^.⁰⁵⁴⁶⁹exp^-0^.⁰⁰¹⁸²^A		0.991
	树枝	W=10.18154D⁰^.⁴⁴⁷⁰⁴	0.549	W=3.95962D^-0^.³⁵⁴⁴⁰H¹^.³⁶¹²²	0.746	W=7.86722(D²H)⁰^.¹⁸⁸⁶²	0.604	W=18.25608(D²H)⁰^.⁰⁴³¹⁴exp⁰^.⁰⁰⁴⁵¹^A		0.630
	树叶	W=4.46215D⁰^.⁵⁹⁵⁷⁴	0.612	W=1.69880D^-0^.²²³⁷⁵H¹^.³⁹¹⁹⁰	0.749	W=3.32370(D²H)⁰^.²⁴⁵⁶⁹	0.658	W=33.64827(D²H)^-0^.¹⁵⁴³⁶exp⁰^.⁰¹²³⁹^A		0.775
	地下	W=0.54532D¹^.⁴³²²⁴	0.908	W=0.21518D⁰^.⁶⁴³¹²H¹^.³⁴⁰³⁰	0.943	W=0.33902(D²H)⁰^.⁵⁶³⁸¹	0.931	W=1.03271(D²H)⁰^.³⁷¹³¹exp⁰^.⁰⁰⁵⁹⁶^A		0.939
C	总量	W=0.17735D²^.²⁷⁰⁴⁵	0.981	W=0.12119D²^.¹⁷³¹²H⁰^.²⁴³³⁰	0.981	W=0.04419(D²H)⁰^.⁹³⁵⁶⁷	0.977	W=0.03861(D²H)⁰^.⁹⁵⁶⁴⁶exp^-0^.⁰⁰⁰⁴⁹^A		0.977
	地上	W=0.15209D²^.²⁵⁸⁰⁸	0.979	W=0.10098D²^.¹⁵³⁴²H⁰^.²⁶¹⁶⁴	0.979	W=0.03809(D²H)⁰^.⁹³⁰⁸⁷	0.976	W=0.03796(D²H)⁰^.⁹³¹³⁹exp^-0^.⁰⁰⁰⁰¹^A		0.976
	树干	W=0.16437D²^.⁰⁷⁴⁷⁶	0.986	W=0.05432D¹^.⁷⁹¹⁷⁶H⁰^.⁷⁰⁷⁴⁴	0.990	W=0.04336(D²H)⁰^.⁸⁶²¹⁴	0.990	W=0.03087(D²H)⁰^.⁹¹⁴⁴⁵exp^-0^.⁰⁰¹²³^A		0.990
	树枝	W=0.01278D²^.⁶²⁰²⁷	0.921	W=0.02664D²^.⁸⁰⁸⁰¹H^-0^.⁴⁶⁹³²	0.923	W=0.00283(D²H)¹^.⁰⁶⁸⁸⁴	0.909	W=0.00737(D²H)⁰^.⁹²¹⁷⁶exp⁰^.⁰⁰³⁴⁷^A		0.910
	树叶	W=0.00799D²^.⁵¹¹³⁴	0.925	W=0.01197D²^.⁶¹⁴⁵⁶H^-0^.²⁵⁸⁰⁵	0.926	W=0.00184(D²H)¹^.⁰²⁷²²	0.915	W=0.00227(D²H)⁰^.⁹⁹⁴⁸⁹exp⁰^.⁰⁰⁰⁷⁶^A		0.915
	地下	W=0.02589D²^.³²⁷³⁸	0.984	W=0.02038D²^.²⁶⁶¹⁹H⁰¹⁵²⁹⁶	0.984	W=0.00631(D²H)⁰^.⁹⁵⁷⁷²	0.979	W=0.00302(D²H)¹^.⁰⁷⁰⁹⁸exp^-0^.⁰⁰²⁶⁷^A		0.979
D	总量	W=0.16248D²^.²⁶⁶⁵⁴	0.999	W=0.12568D¹^.⁹²⁴³²H⁰^.⁴⁹⁰⁰⁸	0.999	W=0.10582(D²H)⁰^.⁸³⁸⁶⁷	0.999	W=0.12252(D²H)⁰^.⁷⁹¹⁵⁸exp⁰^.⁰⁰⁴⁰³^A		0.999
	地上	W=0.12956D²^.²⁷¹⁹⁴	0.998	W=0.08905D¹^.⁷⁷²⁴²H⁰^.⁷¹⁵³⁵	1.000	W=0.08367(D²H)⁰^.⁸⁴¹⁵³	1.000	W=0.08841(D²H)⁰^.⁸²³⁷⁹exp⁰^.⁰⁰¹⁵²^A		1.000
	树干	W=0.03520D²^.⁵⁸⁶⁴⁹	0.997	W=0.01884D¹^.⁷⁵³⁵³H¹^.¹⁹²⁸⁶	1.000	W=0.02113(D²H)⁰^.⁹⁵⁹⁵⁰	1.000	W=0.01852(D²H)¹^.⁰⁰¹⁸⁸exp^-0^.⁰⁰³⁶²^A		1.000
	树枝	W=0.06505D¹^.⁸⁹³²³	0.986	W=0.04395D¹^.³⁷⁰⁹⁶H⁰^.⁷⁴⁷⁹⁴	0.988	W=0.04495(D²H)⁰^.⁷⁰¹⁸⁵	0.988	W=0.04429(D²H)⁰^.⁷⁰⁶⁶²exp^-0^.⁰⁰⁰⁴¹^A		0.988
	树叶	W=0.26551D¹^.²¹⁷⁹⁸	0.988	W=0.19582D⁰^.⁸¹²³⁵H⁰^.⁵⁸⁰⁹⁰	0.991	W=0.20864(D²H)⁰^.⁴⁵¹⁹¹	0.991	W=0.20697(D²H)⁰^.⁴⁵⁴⁴⁹exp^-0^.⁰⁰⁰²²^A		0.991
	地下	W=0.03159D²^.²⁵⁴⁶⁰	0.997	W=0.04010D²^.⁵⁷²²⁰H^-0^.⁴⁵⁴⁸⁴	0.997	W=0.02128(D²H)⁰^.⁸³⁰⁶²	0.993	W=0.03618(D²H)⁰^.⁶⁶⁰⁰⁶exp⁰^.⁰¹⁴⁵⁸^A		0.997
E	总量	W=0.13841D²^.⁴¹²³³	0.949	W=0.01106D¹^.⁷³⁴⁸³H¹^.⁵⁵⁵⁰⁰	0.964	W=0.02592(D²H)⁰^.⁹⁹⁷⁶³	0.962	W=0.09693(D²H)⁰^.⁸⁰²⁹³exp⁰^.⁰⁰⁶³²^A		0.965
	地上	W=0.09828D²^.⁴⁴⁰⁶¹	0.953	W=0.00689D¹^.⁷²⁸²⁸H¹^.⁶³⁴⁹³	0.969	W=0.01792(D²H)¹^.⁰¹⁰¹⁰	0.966	W=0.06304(D²H)⁰^.⁸²⁴⁴³exp⁰^.⁰⁰⁶⁰³^A		0.969
	树干	W=0.10310D²^.³⁶³¹⁰	0.953	W=0.00317D¹^.⁴²⁹⁵⁶H²^.¹⁴²⁶⁸	0.982	W=0.01860(D²H)⁰^.⁹⁸⁵¹³	0.974	W=0.03171(D²H)⁰^.⁹⁰⁶³⁷exp⁰^.⁰⁰²⁵⁶^A		0.974
	树枝	W=0.00508D²^.⁷⁴⁹²⁹	0.834	W=0.00963D²^.⁹²⁰⁷⁹H^-0^.³⁹³⁶³	0.835	W=0.00097(D²H)¹^.¹⁰⁹⁵⁰	0.825	W=0.12658(D²H)⁰^.³⁹⁰⁰⁵exp⁰^.⁰²³³⁶^A		0.855
	树叶	W=0.00085D²^.⁷⁷⁵²³	0.912	W=0.00122D²^.⁸⁷²⁰¹H^-0^.²²²¹¹	0.913	W=0.00016(D²H)¹^.¹²²²⁰	0.904	W=0.00336(D²H)⁰^.⁶⁶⁹⁶⁶exp⁰^.⁰¹⁴⁶⁹^A		0.917
	地下	W=0.04080D²^.³²²³⁸	0.923	W=0.00484D¹^.⁷⁵⁰⁹⁸H¹^.³¹¹⁴⁹	0.934	W=0.00831(D²H)⁰^.⁹⁵⁸⁰⁷	0.933	W=0.03909(D²H)⁰^.⁷²⁹⁵⁰exp⁰^.⁰⁰⁷⁴²^A		0.938

Tab.3

Tab.4

Goodness-of-fit statistics of four nonlinear biomass equations of 5 tree species in Altai mountain forest areas

树种	分量	W=aD^b		W=aD^bH^c		W=a(D²H)^b		W=a(D²H)^bexp^cA
树种	分量	$R a 2$	SEE	$R a 2$	SEE	$R a 2$	SEE	$R a 2$	SEE
A	总量	0.9885	0.2373	0.9943	0.1832	0.9940	0.1719	0.9949	0.1725
	地上	0.9859	0.2632	0.9934	0.1979	0.9926	0.1911	0.9934	0.1974
	树干	0.9848	0.2760	0.9938	0.1933	0.9924	0.1946	0.9934	0.1996
	树枝	0.9786	0.3068	0.9786	0.3360	0.9752	0.3307	0.9752	0.3618
	树叶	0.9689	0.4316	0.9838	0.3414	0.9796	0.3491	0.9850	0.3280
	地下	0.9883	0.2386	0.9891	0.2520	0.9882	0.2390	0.9894	0.2488
B	总量	0.8760	0.1910	0.9394	0.1389	0.9193	0.1541	0.9314	0.1478
	地上	0.8859	0.1853	0.9478	0.1305	0.9287	0.1465	0.9398	0.1401
	树干	0.9650	0.1634	0.9827	0.1198	0.9823	0.1162	0.9828	0.1192
	树枝	0.3018	0.2269	0.5566	0.1882	0.3650	0.2164	0.3969	0.2195
	树叶	0.3744	0.2570	0.5604	0.2242	0.4325	0.2448	0.6012	0.2135
	地下	0.8243	0.2207	0.8900	0.1817	0.8676	0.1915	0.8825	0.1878
C	总量	0.9614	0.1474	0.9623	0.1516	0.9546	0.1599	0.9546	0.1664
	地上	0.9579	0.1533	0.9590	0.1575	0.9517	0.1643	0.9517	0.1710
	树干	0.9713	0.1155	0.9810	0.0978	0.9805	0.0952	0.9809	0.0981
	树枝	0.8491	0.3579	0.8515	0.3696	0.8260	0.3843	0.8276	0.3982
	树叶	0.8561	0.3337	0.8568	0.3464	0.8373	0.3547	0.8374	0.3691
	地下	0.9673	0.1386	0.9677	0.1434	0.9576	0.1578	0.9590	0.1616
D	总量	0.9975	0.0896	0.9988	0.0683	0.9981	0.0774	0.9987	0.0703
	地上	0.9963	0.1082	0.9991	0.0589	0.9990	0.0563	0.9991	0.0590
	树干	0.9935	0.1634	0.9995	0.0510	0.9992	0.0558	0.9996	0.0437
	树枝	0.9724	0.2496	0.9767	0.2514	0.9767	0.2296	0.9767	0.2514
	树叶	0.9762	0.1490	0.9824	0.1402	0.9821	0.1291	0.9821	0.1414
	地下	0.9938	0.1395	0.9949	0.1380	0.9858	0.2109	0.9936	0.1546
E	总量	0.9007	0.2465	0.9293	0.2166	0.9256	0.2135	0.9317	0.2129
	地上	0.9076	0.2397	0.9387	0.2033	0.9341	0.2025	0.9395	0.2019
	树干	0.9083	0.2311	0.9652	0.1481	0.9484	0.1734	0.9495	0.1786
	树枝	0.6964	0.5588	0.6975	0.5806	0.6814	0.5725	0.7310	0.5475
	树叶	0.8325	0.3832	0.8329	0.3984	0.8179	0.3996	0.8409	0.3888
	地下	0.8514	0.2987	0.8721	0.2884	0.8706	0.2787	0.8792	0.2803

Tab.4

Tab.5

Fig.2

References 24

[1]	王效科, 冯宗炜, 欧阳志云. 中国森林生态系统的植物碳储量和碳密度研究[J]. 应用生态学报, 2001,12(1):13-16.
[2]	Bond-Lamberty B, Wang C, Gower S T. Net primary production and net ecosystem production of a boreal black spruce wildfire chronosequence[J]. Global Change Biology, 2004,10:473-487. doi: 10.1111/gcb.2004.10.issue-4
[3]	Pregitzer K S, Euskirchen E S. Carbon cycling and storage in world forests:Biome patterns related to forest age[J]. Global Change Biology, 2004,10:2052-2077. doi: 10.1111/gcb.2004.10.issue-12
[4]	Mu CC, Lu HC, Wang B, et al. Short-term effects of harvesting on carbon storage of boreal Larix gmelinii-Carex schmidtii forested wetlands in Daxing’anling,northeast China[J]. Forest Ecology and Management, 2013,293:140-148. doi: 10.1016/j.foreco.2012.12.031
[5]	Konopka B, Pajtik J, Noguchi K, et al. Replacing Norway spruce with European beech:A comparison of biomass and net primary production patterns in young stands[J]. Forest Ecology and Management, 2013,302:185-192. doi: 10.1016/j.foreco.2013.03.026
[6]	刘琦, 蔡慧颖, 金光泽. 择伐对阔叶红松林碳密度和净初级生产力的影响[J]. 应用生态学报, 2013,24(10):2709-2716.
[7]	刘诗琦, 辛建华, 贾黎明, 等. 山东菏泽杨树人工林碳储量和碳贮库特征[J]. 东北林业大学学报, 2013,41(4):1-4.
[8]	潘维传, 李利村, 高正衡, 等. 12个不同地域类型杉木林的生物产量和营养元素分布[J]. 中南林业科技, 1979(4):1-141.
[9]	玛宗炜, 陈楚莹, 张家武, 等. 湖南会同地区马尾松林生物量的测定[J]. 林业科学, 1982,18(2):127-134.
[10]	李文华, 邓坤枚, 李飞, 等. 长白山主要生态系统生物量生产量的研究[J]. 森林生态系统研究, 1981: 34-50.
[11]	刘世荣, 柴一新, 蔡体久, 等. 兴安落叶松人工林群落生物量与净初级生产力的研究[J]. 东北林业大学学报, 1990(2):40-46.
[12]	陈灵芝, 任继凯, 鲍显诚, 等. 北京西山人工油松林群落学特征及生物量的研究[J]. 植物生态学与地植物学报, 1984,8(3):173-181.
[13]	党承林, 吴兆录. 季风长绿阔叶林短刺拷群落的生物量研究[J]. 云南大学学报:自然科学版, 1992,14(2):95-107.
[14]	Xue L. Nutrient cycling in a Chinese fir (Cunninghamia lanceloata)stand on a poor site in Yishan,Guangxi[J]. Forest Ecology and Management, 1996,89:115-123. doi: 10.1016/S0378-1127(96)03856-X
[15]	董利虎, 李凤日, 贾炜玮, 等. 含度量误差的黑龙江省主要树种生物量相容性模型[J]. 应用生态学报, 2011,22(1):2653-2661.
[16]	董利虎, 李凤日, 贾炜玮. 基于相容性生物量模型的樟子松林碳密度与碳储量研究[J]. 北京林业大学学报, 2013,35(6):15-22.
[17]	刘兴良, 马钦彦, 杨冬生, 等. 川西山地主要人工林种群根系生物量与生产力[J]. 生态学报, 2006,26(2):542-551.
[18]	程堂仁. 甘肃小陇山森林生物量及碳储量研究[D]. 北京:北京林业大学, 2007.
[19]	温远光, 粱宏温, 招礼军, 等. 尾叶按人工林生物量和生产力的研究[J]. 热带亚热带植物学报, 2000,8(2):123-127.
[20]	Chave J, Andalo C, Brown S, et al. Tree Allometiy and improved estimation of carbon stocks and balance in tropical forests[J]. Oecologia, 2005,145:87-99. doi: 10.1007/s00442-005-0100-x
[21]	罗云建, 张小全, 王效科, 等. 森林生物量的估算方法及其研究进展[J]. 林业科学, 2009,4(8):129-133.
[22]	丁贵杰, 王鹏程. 马尾松人工林生物量及生产力变化规律研究Ⅱ:不同林龄生物量及生产力[J]. 林业科学研究, 2001,15(1):4-60.
[23]	房用, 蹇兆忠. 杨树生物量结构与模型的研究[J]. 辽宁林业科技, 2002 ( 5):5-7.
[24]	王孟本. 河北杨林的生物量[J]. 山西大学学报, 1991,14(1):103-107.

林分类型	样地数	林龄/a	林分密度/(株/hm²)	胸径/cm	坡度/(°)	海拔/m	优势树种
西伯利亚落叶松林	39	42~130	213~1675	4.0~86.9	0~30	1140~2235	A
西伯利亚红松林	8	45~115	311~1025	4.0~54.6	0~18	1486~1860	B
西伯利亚云杉林	22	38~126	263~1875	4.0~61.1	0~35	1370~2118	C
西伯利亚冷杉林	10	41~104	388~1363	4.0~49.7	0~23	1480~1614	D
桦木林	13	21~ 89	238~1075	4.0~38.5	0~20	509~1604	E

树种	胸径/cm	树高/m	年龄/a	生物量/kg
树种	胸径/cm	树高/m	年龄/a	干	枝	叶	根	合计
A	8.3~76.0	8.9~27.5	33~247	9.27~2215.28	1.36~261.47	0.12~29.22	3.32~573.02	14.07~3078.99
B	13.6~39.0	8.8~18.6	51~164	18.34~ 359.67	23.77~ 63.58	17.26~60.45	21.43~123.63	94.08~ 597.65
C	13.0~33.0	13.0~21.2	45~165	27.12~ 232.16	6.75~113.61	3.41~45.04	7.80~ 80.93	45.33~ 419.62
D	6.2~45.0	5.2~22.1	36~103	3.31~ 573.65	2.33~ 74.03	2.05~24.48	2.39~170.31	10.07~ 842.47
E	12.0~32.4	14.7~24.7	41~112	44.50~ 467.15	5.14~117.94	1.05~15.77	16.28~147.28	71.30~ 691.06

树种及所占比例	树干	树枝	树叶	地上部分	树根	总生物量
A	215.94	26.85	5.43	248.22	59.99	308.60
%	69.97	8.70	1.76	80.43	19.44	100
B	224.75	41.70	18.41	284.86	72.12	352.85
%	63.69	11.82	5.22	80.73	20.44	100
C	148.18	45.16	17.12	210.47	47.66	258.27
%	57.37	17.49	6.63	81.49	18.45	100
D	180.73	31.12	12.79	224.64	54.28	280.32
%	64.47	11.10	4.56	80.14	19.36	100
E	112.30	19.67	4.55	136.52	38.06	176.38
%	63.67	11.15	2.58	77.40	21.58	100