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火干扰强度对大兴安岭森林地上植被碳储量的影响

洪娇娇 陈宏伟 齐淑艳 刘娜 许晶

应用生态学报2017,Vol.28Issue(8):2481-2487,7.
应用生态学报2017,Vol.28Issue(8):2481-2487,7.DOI:10.13287/j.1001-9332.201708.039

火干扰强度对大兴安岭森林地上植被碳储量的影响

Effect of fire severity on carbon storage of aboveground vegetation in Great Xing'an Mountains, China

洪娇娇 1陈宏伟 1齐淑艳 2刘娜 1许晶2

作者信息

  • 1. 沈阳大学生命科学与工程学院,沈阳110044
  • 2. 辽宁省城市有害生物治理与生态安全重点实验室,沈阳110044
  • 折叠

摘要

Abstract

Forest aboveground vegetation (trees,shrub,and grass) was sampled in the Huzhong forest region of the Great Xing'an Mountains under different fire severities.The allometric-equation and biomass-harvesting methods were employed to derive biomasses of tree,shrub,and grass layers,which were subsequently converted to carbon storage.The differences of carbon storage (tree,shrub,and grass layers) under different fire severities were analyzed.Results showed that fire severities significantly affected the aboveground carbon storage.The carbon storage was ranked in the order of unbumed>low-severity>moderate-severity>high-severity.At the same fire severity,the forest carbon storage was generally ranked in the order of tree>grass>shrub.At the different fire severities,the carbon storage was ranked in the order of unbumed>low-severity>moderate-severity>highseverity.The shrub layer carbon storage was ranked in the order of low-severity>unbumed>moderate-severity>high-severity.The grass layer carbon storage was ranked in the order of low-severity>unburned>high-severity>moderate-severity.The fire severities significantly affected carbon storage of tree and grass layers.The effect of fire severities on carbon storage in shrub layer was not significant.

关键词

火干扰/火烧强度/地上碳储量/大兴安岭

Key words

fire disturbance/fire severity/aboveground carbon storage/Great Xing'an Mountains

引用本文复制引用

洪娇娇,陈宏伟,齐淑艳,刘娜,许晶..火干扰强度对大兴安岭森林地上植被碳储量的影响[J].应用生态学报,2017,28(8):2481-2487,7.

基金项目

本文由国家自然科学基金项目(41201185)、辽宁省自然科学基金项目(201602513)和沈阳市科技计划项目(F16-158-9-00)资助 This work was supported by the National Natural Science Foundation of China (41201185),the Natural Science Foundation of Liaoning Province (201602513) and the Shenyang Science and Technology Program (F16-158-9-00). (41201185)

应用生态学报

OA北大核心CSCDCSTPCDMEDLINE

1001-9332

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