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广西马山岩溶次生林群落生物量和碳储量
引用本文:朱宏光,蓝嘉川,刘虹,温远光,王克林,马祖陆,陆晓明,雷丽群,覃林,庄嘉,邓艳,李婉舒,左花,熊江波.广西马山岩溶次生林群落生物量和碳储量[J].生态学报,2015,35(8):2616-2621.
作者姓名:朱宏光  蓝嘉川  刘虹  温远光  王克林  马祖陆  陆晓明  雷丽群  覃林  庄嘉  邓艳  李婉舒  左花  熊江波
作者单位:广西大学林学院, 南宁 530004,广西大学林学院, 南宁 530004,广西大学林学院, 南宁 530004;Department of Earth and Environment, Florida International University, Miami, Florida 33199 USA,广西大学林学院, 南宁 530004;亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004,中国科学院亚热带农业生态所, 长沙 410125,中国地质科学院岩溶地质研究所, 桂林 541004,广西大学林学院, 南宁 530004,广西大学林学院, 南宁 530004,广西大学林学院, 南宁 530004;亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004,广西大学林学院, 南宁 530004,中国科学院亚热带农业生态所, 长沙 410125,广西大学林学院, 南宁 530004,广西大学林学院, 南宁 530004,广西大学林学院, 南宁 530004
基金项目:国家科技支撑项目(2011BAC09B02);中国地质科学院岩溶地质研究所和国家林业局重点资助项目(2010TK45)
摘    要:岩溶植被在岩溶生态系统碳循环和全球碳平衡中具有重要的作用。通过对马山县岩溶次生林年龄序列(幼龄林、中龄林和老龄林)3个演替阶段9个样地(20 m×50 m)的系统取样调查,研究了停止人为干扰后岩溶次生林生物量和碳储量的变化。结果表明:沿幼林、中林和老林群落的顺向演替发展,群落生物量显著增加(P0.05),从幼林群落的48.17 t/hm2、到中林群落113.47 t/hm2,再到老林群落242.59 t/hm2。老林生态系统的碳储量较高,平均为236.69 t/hm2,中林和幼林较低且非常相近,分别为225.17 t/hm2和224.76 t/hm2,各次生林生态系统的碳储量差异不显著(P0.05)。土壤碳储量的大小顺序为幼林(198.44 t/hm2)中林(167.39 t/hm2)老林(113.43 t/hm2)。沿群落正向演替,各次生林生态系统中植物碳储量和土壤碳储量的比例发生明显的变化。幼林的土壤碳储量占生态系统碳储量的88.29%,植物碳储量只占11.71%;中林相应为74.34%和25.66%;而老林为47.92%和52.08%。可见,随着岩溶植被的正向演替,土壤碳转变为植物碳的趋势十分明显,这是岩溶森林不同于酸性土森林的一个显著特征。

关 键 词:岩溶区域  次生林  群落  生物量  碳储量  广西
收稿时间:2013/6/8 0:00:00
修稿时间:2014/5/16 0:00:00

Biomass and carbon storage of communities in secondary karst forests in Mashan county, Guangxi
ZHU Hongguang,LAN Jiachuan,LIU Hong,WEN Yuanguang,WANG Kelin,MA Zulu,LU Xiaoming,LEI Liqun,QIN Lin,ZHUANG Ji,DENG Yan,LI Wanshu,ZUO Hua and XIONG Jiangbo.Biomass and carbon storage of communities in secondary karst forests in Mashan county, Guangxi[J].Acta Ecologica Sinica,2015,35(8):2616-2621.
Authors:ZHU Hongguang  LAN Jiachuan  LIU Hong  WEN Yuanguang  WANG Kelin  MA Zulu  LU Xiaoming  LEI Liqun  QIN Lin  ZHUANG Ji  DENG Yan  LI Wanshu  ZUO Hua and XIONG Jiangbo
Institution:Forestry College, Guangxi University, Nanning 530004, China,Forestry College, Guangxi University, Nanning 530004, China,Forestry College, Guangxi University, Nanning 530004, China;Department of Earth and Environment, Florida International University, Miami, Florida 33199 USA,Forestry College, Guangxi University, Nanning 530004, China;State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Nanning 530004, China,Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China,Institute of Karst Geology, Chinese A cademy of Geological Sciences, Guilin 541004, China,Forestry College, Guangxi University, Nanning 530004, China,Forestry College, Guangxi University, Nanning 530004, China,Forestry College, Guangxi University, Nanning 530004, China;State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Nanning 530004, China,Forestry College, Guangxi University, Nanning 530004, China,Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China,Forestry College, Guangxi University, Nanning 530004, China,Forestry College, Guangxi University, Nanning 530004, China and Forestry College, Guangxi University, Nanning 530004, China
Abstract:Karst vegetation plays an important role in the karst ecosystem carbon cycle and the global carbon balance. However, most of the estimations on biomass and carbon sequestration patterns for many karst forest vegetation ecosystems were questionable. The lack of accurate characterization of carbon storage in tree, understory, forest floor and organic soil layers in karst forest vegetation ecosystems has hindered the effort to estimate their contribution to the global carbon stocks. In this study, we investigated changes in biomass and carbon storage of karst vegetation along successional stages of a chronosequence following human disturbance in Mashan county, southwest China. We sampled nine plots, each of 20 m×50 m, three of which represented successional stages of young, mid-mature and old forest, respectively. We found that community biomass increased significantly along the successional stages, from 48.17 t/hm2 in young forest to 113.47 t/hm2 in mid-mature forest to 242.59 t/hm2 in old forest (P <0.05). The biomass of the understory vegetation in different successional stages is very low, accounting for 4.32%, 1.47% and 0.47% of the total biomass in communities of young, mid-mature, and old forsts, respectively. The mean biomass carbon storage in old forests (123.26 t/hm2) was significantly higher than that in young forest (26.32 t/hm2) and than that in mid-mature forest (57.78 t/hm2) (P <0.05), and it was significantly higher in mid-mature forests than that in young forests (P <0.05). Carbon storages in tree and herb layers were significantly different among the three forest types (P <0.05). The differences in carbon storage in shrub layer, however, was not significantly different among the three forest types (P > 0.05). Carbon storage in forest floor litter in mid-mature forest (0.20 t/hm2) was significantly lower than that in young forest (1.19 t/hm2) and in old forest (1.40 t/hm2). Soil carbon storage was significantly different between old forest (113.43 t/hm2) and young forest (198.44 t/hm2), but the difference in soil carbon was not significant between old forests and mid-mature forests (167.39 t/hm2). In all three forest types, carbon storage in soil decreased as depth increased. Overall, carbon storage in old forest ecosystems (236.69 t/hm2) was only slightly higher than that in young forest (224.76 t/hm2) and mid-mature forest (225.17 t/hm2), but these differences were not statistically significant (P >0.05). In contrast, soil carbon storage was highest in the young forest (198.44 t/hm2), followed by mid-mature forest (167.39 t/hm2) and old forest (113.43 t/hm2). The ratios of plant vs. soil carbon storage in various secondary forest ecosystems increased significantly along the successional stages. The percentages of plant and soil carbon storage were 11.71% and 88.29%, respectively, in young forest ecosystems, 25.66% and 74.34% in mid-mature forest, and 47.92% and 52.08% in old forest. It appeared that soil carbon was converted to plant carbon as forest moving forward along the successional chronosequence in the karst region. Our results suggested that the carbon storage capacity of the karst forest ecosystems decreased due to the high bare rock cover, limited soil cover, shallow soil layer, and low biomass. Our results also indicated that the carbon sequestration and carbon allocation in the karst ecosystems were influenced strongly by karst forest vegetation succession. More long-term monitoring and research are needed to further evaluate biomass and carbon accumulation of the karst forest vegetation succession.
Keywords:Karst region  secondary forest  community  biomass  carbon storage  Guangxi
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