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中国农学通报 ›› 2022, Vol. 38 ›› Issue (16): 27-31.doi: 10.11924/j.issn.1000-6850.casb2021-1201

所属专题: 园艺 农业地理

• 林学·园艺·园林 • 上一篇    下一篇

辽宁省乔木林的碳储量和碳密度研究

李宁()   

  1. 辽宁省林业调查规划监测院,沈阳 110122
  • 收稿日期:2021-12-15 修回日期:2022-04-13 出版日期:2022-06-05 发布日期:2022-06-09
  • 作者简介:李宁,女,1981年出生,辽宁人,高级工程师,硕士,从事森林调查监测工作。通信地址:110000 辽宁省沈阳市沈北新区建设路71号 辽宁省林业调查规划监测院,E-mail: lnnvk_58866@163.com
  • 基金资助:
    国家重点研发计划项目“人工林资源监测关键技术研究”(2017YFD0600903)

Carbon Storage and Carbon Density of Arboreal Forest in Liaoning Province

LI Ning()   

  1. Liaoning Forestry Investigation and Planning Institute, Shenyang 110122
  • Received:2021-12-15 Revised:2022-04-13 Online:2022-06-05 Published:2022-06-09

摘要:

为更好地了解辽宁省森林的碳汇能力,基于森林资源“一张图”数据对乔木林的碳储量和碳密度进行研究。针对乔木林各林种的不同龄组、各龄组的不同林种的碳特征值进行估算和比较分析,进而对辽宁省森林资源的固碳功能进行分析。研究认为,防护林中中龄林碳储量权重最大,面积权重幼龄林最大;特种用途林中成熟林的碳储量权重最大,面积权重成熟林最大;用材林中中龄林的碳储量权重最大,面积权重幼龄林最大;薪炭林中幼龄林的碳储量权重最大,面积权重也是幼龄林最大;幼龄林、中龄林、近熟林、成熟林和过熟林都是防护林的碳储量最高。研究结果可为森林经营管理、环境保护政策的提出等提供数据支撑。

关键词: 碳储量, 碳密度, 林种, 龄组, 估算

Abstract:

In order to understand the carbon sequestration capacity of forests in Liaoning Province, the carbon storage and carbon density of arboreal forest were studied based on the national data of forest resources. The carbon characteristic values were estimated and compared among different forest age groups and forest species, then the carbon sequestration capacity of forest resources in Liaoning was analyzed. The results show that: among the shelter forests, the weight of carbon storage is the largest in middle-aged forest and the weight of area is the largest in young forest; among the special use forests, the mature forest has the largest carbon storage weight and the largest area weight; among the timber forests, the carbon storage weight of middle-aged forest is the largest and the area weight of young forest is the largest; among the firewood forests, both the carbon storage weight and the area weight of young forest are the largest; and the shelter forests have the highest carbon storage in young forest, middle-aged forest, near-mature forest, mature forest and over-mature forest. The study can provide data support for forest management and environmental protection.

Key words: carbon storage, carbon density, forest species, age group, estimation

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