Aboveground Biomass Distribution Characteristics and Regional Differences of Three Artificial Plantation in Hainan Island

doi:10.3969/j.issn.1000-2561.2019.04.028

Abstract

Abstract:

In this paper, the aboveground biomass allocation ratio and regional distribution of three species of plantation tree species (Acacia mangium, Hevea brasiliensis and Eucalyptus spp.) were investigated in seven cities and counties in Hainan Island. The proportion of aboveground total biomass allocation of the three species of plantations was basically followed by dry wood > branches > leaves > dry bark, and the trunk dominates. Based on the consistent diameter of breast diameter, the total biomass of plantation trees in different regions of the tropics was significantly different. The total biomass of A. mangium was between 51.06-179.25 kg, and the value in Baisha was the largest. The total biomass of H. brasiliensis was between 48.42-173.15 kg, the value in Lingshui was the largest. The total biomass of Eucalyptus spp. was between 43.06-228.11 kg, and the value in Danzhou was the largest. The proportion of biomass allocation in the same tree species in different cities and counties was very different. The trunk biomass of A. mangium, H. brasiliensis and Eucalyptus spp. was 48%-78%, 35%-78% and 48%-85% of the aboveground biomass respectively. Greater contribution of tree trunk biomass resulted in higher aboveground biomass. The results of this study would provide basic data for rational management of plantation resources in tropical areas.

Key words: plantation, biomass, distribution characteristics, regional difference

CHEN Xiaohua,CHEN Zongzhu,LEI Jinrui,LI Yuanling,WU Tingtian. Aboveground Biomass Distribution Characteristics and Regional Differences of Three Artificial Plantation in Hainan Island[J]. Chinese Journal of Tropical Crops, 2019, 40(4): 815-821.

Figures/Tables 8

树种 Tree species	径级 Diameter class/cm	乐东县 Ledong	保亭县 Baoting	昌江县 Changjiang	三亚市 Sanya	陵水县 Lingshui	白沙县 Baisha	儋州市 Danzhou
马占相思 Acacia mangium	5~10	2	2	2	2	2	2	2
	11~15	2	2	2	2	2	2	2
	16~20	4	3	3	3	3	3	3
	21~25	4	3	3	4	3	3	3
	26~30	2	2	2	2	2	2	2
	>30	2	2	2	2	2	2	2
橡胶树 Hevea brasiliensis	5~10	2	2	2	2	2	2	2
	11~15	2	2	2	2	2	2	2
	16~20	3	3	3	3	3	3	3
	21~25	3	4	3	3	3	3	3
	26~30	2	2	2	2	2	2	2
	>30	2	2	2	2	2	2	2
桉树 Eucalyptus spp.	5~10	2	2	2	2	2	2	2
	11~15	5	4	2	2	2	2	2
	16~20	6	3	6	3	3	3	3
	21~25	3	3	3	3	3	3	3
	26~30	2	2	2	2	2	2	2
	>30	2	2	2	2	2	2	2

Fig. 1 The biomass allocation ratio of three artificial plantation in tropical area

Fig. 2 Analysis on the regional distribution of the biomass of A. mangium Different lowercase letters indicate significant differences between cities and counties (P<0.05).

Fig. 3 Regional difference of biomass allocation ratio of A. mangium

Fig. 4 Analysis on the regional distribution of the biomass of H. brasiliensis Different lowercase letters indicate significant differences between cities and counties (P<0.05) .

Fig. 5 Regional difference of biomass allocation ratio of H. brasiliensis

Fig. 6 Analysis on the regional distribution of the biomass of Eucalyptus spp. Different lowercase letters indicate significant differences between cities and counties (P<0.05).

Fig. 7 Regional difference of biomass allocation ratio of Eucalyptus spp.

References 30

[1]	Houghton R A , Aboveground forest biomass and the global carbon balance[J]. Global Change Biology, 2005,11(6):945-958. DOI URL
[2]	Sarker M L, Nichol J, Iz H B , et al. Forest biomass estimation using texture measurements of high-resolution dual- polarization C-band SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013,51(6):3371-3384. DOI URL
[3]	Dobson M C, Ulaby F T, Letoan T , et al. Dependence of radar back scatter on coniferous forest biomass[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992,30(2):412-415. DOI URL
[4]	杨路存, 赵玉红, 徐文华 , 等. 青海省高寒灌丛物种多样性、生物量及其关系[J]. 生态学报, 2018,38(1):309-315.
[5]	冯宗炜, 王效科, 吴刚 . 中国森林生态系统的生物量和生产力[M]. 北京: 科学出版社, 1999.
[6]	邢磊, 薛海霞, 李清河 , 等. 白刺幼苗生物量与氮含量在叶与全株间的尺度转换[J]. 北京林业大学学报, 2018,40(2):76-81.
[7]	左有璐, 王振孟, 习新强 , 等. 川西北高寒草甸优势植物生物量分配对策[J]. 应用与环境生物学报, 2018,24(6):1195-1203.
[8]	陈存根, 彭鸿 . 华山松林木的生长与分化[J]. 西北林学院学报, 1994,9(2):1-8.
[9]	Richter D D, Markewitz D, Trumbore S E , et al. Rapid accumulation and turnover of soil carbon in a re-establishing forest[J]. Nature, 1999,400(6739):56-58. DOI
[10]	杨玉姣, 陈云明, 曹扬 . 黄土丘陵区油松人工林生态系统碳密度及其分配[J]. 生态学报, 2014,34(8):2128-2136. DOI
[11]	黄小波, 唐春云 . 中国人工林碳汇研究进展[J]. 经济研究导刊, 2013,19:179-181.
[12]	吕晓敏, 王玉辉, 周广胜 , 等. 温度与降水协同作用对短花针茅生物量及其分配的影响[J]. 生态学报, 2015,35(3):752-760. DOI
[13]	刘小平, 冯强, 肖前辉 . 海南省桉树、木麻黄、马占相思林分形高模型研建[J]. 中南林业调查规划, 2016,35(4):61-64.
[14]	甘世书 . 利用度量误差模型建立海南省松树和橡胶树质量与材积相容模型[J]. 中南林业调查规划, 2015,34(4):45-48, 66.
[15]	陈振雄, 贺东北, 贺鹏 . 利用混合模型方法建立海南省橡胶树立木材积方程[J]. 中南林业科技大学学报, 2016,36(12):31-36.
[16]	余雪标, 徐大平, 龙腾 , 等. 连栽桉树人工林生物量及生产力结构的研究[J]. 华南热带农业大学学报, 1999(2): 11-14, 16-18.
[17]	太立坤, 余雪标, 时忠杰 , 等. 琼中桉树人工林植物多样性与生物量关系研究[J]. 广东农业科学, 2009(6):143-147.
[18]	向仰州 . 海南桉树人工林生态系统生物量和碳储量时空格局[D]. 北京: 中国林业科学研究院, 2012.
[19]	向仰州, 杨曾奖, 徐大平 , 等. 海南桉树人工林土壤水分与林下生物量的相关性[J]. 林业实用技术, 2013(9):3-6.
[20]	王帅 . 海南岛不同类型森林生态系统氮储量研究[D]. 海口: 海南大学, 2015.
[21]	吴鹏飞 . 马占相思特征特性与造林技术[J]. 现代农业科技, 2018(13):147-148.
[22]	刘宪钊, 薛杨, 王小燕 , 等. 海南省东北部沿海地区更新造林实验研究[J]. 生态科学, 2017,36(3):130-134.
[23]	赵威, 李琳, 王艳杰 , 等. 河南典型暖(热)性草地固碳特征及区域差异[J]. 应用生态学报, 2018,29(6):1867-1875.
[24]	左舒翟, 任引, 翁闲 , 等. 亚热带常绿阔叶林9个常见树种的生物量相对生长模型[J]. 应用生态学报, 2015,26(2):356-362.
[25]	曾伟生, 陈新云, 蒲莹 , 等. 基于国家森林资源清查数据的不同生物量和碳储量估计方法的对比分析[J]. 林业科学研究, 2018,31(1):66-71.
[26]	林开淼 . 亚热带常绿阔叶林生物量模型及其分析[J]. 中南林业科技大学学报, 2017,37(11):115-120, 126.
[27]	巨文珍, 王新杰, 孙玉军 . 长白落叶松林龄序列上的生物量及碳储量分配规律[J]. 生态学报, 2011,31(4):1139-1148.
[28]	付甜, 朱建华, 肖文发 , 等. 八种亚热带森林类型乔木层地上生物量分配模型[J]. 林业科学, 2014,50(9):1-9. DOI
[29]	Bloom A J, Chapin F S, Mooney H A . Resource limitation in plants-an economic analogy[J]. Annual Review of Ecology and Systematics, 1985,16:363-392. DOI URL
[30]	李伟, 张辛华, 郝青 , 等. 不同区域小气候环境因子对牡丹光合生理的影响[J]. 经济林研究, 2018,36(1):99-104.