详细信息
林场级森林林木碳储量估测方法研究 被引量:7
Estimation method of wood carbon storage at sacle of forest farm management unit
文献类型:期刊文献
中文题名:林场级森林林木碳储量估测方法研究
英文题名:Estimation method of wood carbon storage at sacle of forest farm management unit
作者:刘宪钊[1,2] 陆元昌[1] 马履一[2] 薛杨[3]
第一作者:刘宪钊
机构:[1]中国林业科学研究院资源信息研究所;[2]北京林业大学省部共建森林培育与保护教育部重点实验室;[3]海南省林业科学研究所生态研究室
年份:2013
卷号:35
期号:5
起止页码:144-148
中文期刊名:北京林业大学学报
外文期刊名:Journal of Beijing Forestry University
收录:CSTPCD;;北大核心:【北大核心2011】;CSCD:【CSCD2013_2014】;
基金:林业公益性行业科研专项(201004002、201204304);中国博士后科学基金(2012M510331)
语种:中文
中文关键词:经营单位;系统抽样;生物量;碳储量
外文关键词:management unit; systematic sampling; biomass; carbon storage
分类号:S718.55
摘要:为了研究林场级森林林木生物量和碳储量的信息,以海南省岛东林场为例,采用系统(等距)抽样方式对该场林木资源进行抽样调查。选择政府间气候变化专门委员会(IPCC)制定的方法对不同龄组、不同类型森林的林木生物量和碳储量进行估算。结果显示:林场森林林木碳储量大,达53.00万t,但单位面积上的碳汇能力低,仅为54.35 t/hm2;不同类型林分各个生长阶段(龄组)的单位面积碳储量不尽相同,其中木麻黄成熟林最高,为141.08 t/hm2。以上结果表明,当前短周期人工林皆伐作业模式下的森林林木生物量积累不足,造成岛东林场碳汇能力较低。当前经营方式不能满足应对全球气候变化为目的的多功能森林经营的要求,需要寻找一种新的经营方式来改变这一现状。
In order to get the carbon storage information of tropical forest, a systematic sampling method was used to get scientific data of plantation in Daodong Forest Farm of Hainan Island, Southern China. Combining the IPCC method and sampling data on forest resource, information about the above and underground wood carbon storages were caculated. The results showed that the managemet unit of Daodong Forest Farm had huge carbon storage, which reached 0.53 million ton, but carbon storge per unit area was unsufficient at only a level of 54.35 t/hm2. The carbon storage of unit area in different forest types varied with different species and different age groups, and the mature forest of Casuarina equisetifolia occupied the highest carbon storage in unit area (141.08 t/hm2 ). The study results indicated that current forest management model of short rotation clear-cutting system caused the decline of biomiss and carbon storage, and this could not meet the needs of increasing forest biomass to mitigate climate change. In order to change this situation, smooth transfering of clear-cutting model into a multi- functional forest management is suggested.
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