Abstract
PDF HTML阅读 XML下载 导出引用 引用提醒 六盘山森林植被碳密度空间分布特征及其成因 DOI: 10.5846/stxb201302230291 作者: 作者单位: 中国林业科学研究院森林生态环境与保护研究所 国家林业局森林生态环境重点实验室 北京,中国林业科学研究院森林生态环境与保护研究所 国家林业局森林生态环境重点实验室 北京,中国林业科学研究院森林生态环境与保护研究所 国家林业局森林生态环境重点实验室 北京,江西省林业勘察设计院 江西南昌,宁夏六盘山林业局 宁夏泾源,宁夏六盘山林业局 宁夏泾源,宁夏六盘山林业局 宁夏泾源,中国林业科学研究院森林生态环境与保护研究所 国家林业局森林生态环境重点实验室 北京,中国林业科学研究院森林生态环境与保护研究所 国家林业局森林生态环境重点实验室 北京 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目(41071023,41230852);国家林业局林业公益性行业科研专项(201104005,200904056);科技部"十二五"国家科技计划课题(2012BAD22B030102,2011BAD38B0503);中国森林生态系统定位研究网络(CFERN)宁夏六盘山森林生态定位站和国家林业局森林生态环境重点实验室联合资助 Spatial distribution of carbon density for forest vegetation and the influencing factors in Liupan Mountains of Ningxia, NW China Author: Affiliation: Key Laboratory of Forestry Ecology and Environment of State Forestry Administration,The Research Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,Key Laboratory of Forestry Ecology and Environment of State Forestry Administration,The Research Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,Key Laboratory of Forestry Ecology and Environment of State Forestry Administration,The Research Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,Jiangxi Forest Inventory,Ningxia Liupanshan Bureau of Forestry,Jingyuan Ningxia,Ningxia Liupanshan Bureau of Forestry,Jingyuan Ningxia,Ningxia Liupanshan Bureau of Forestry,Jingyuan Ningxia,Key Laboratory of Forestry Ecology and Environment of State Forestry Administration,The Research Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,Key Laboratory of Forestry Ecology and Environment of State Forestry Administration,The Research Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:深入了解干旱缺水地区森林植被碳密度的空间分布特征是定量评价森林固碳能力、合理协调林水矛盾的重要基础.然而,目前有关干旱缺水地区的植被碳密度的研究仅限于典型样地上的碳储量、碳密度的比较,对区域尺度上森林植被碳密度的空间分布特征了解较少.为此,利用宁夏六盘山自然保护区2005年森林资源一类清查数据,计算了森林植被碳密度,并分析了其与林分结构特征和环境因子的关系.结果表明,六盘山的森林植被碳密度(t/hm2)平均为26.17(0.67-120.63),其中天然次生林为30.2(7.6-120.6),显著高于人工林的15.7(0.67-66.7).森林植被碳密度随林龄增加而线性增大,天然林和人工林的平均增速分别为1.11和2.48 t hm-2 a-1,而且,部分未成熟林的林分植被碳密度已接近甚至超过全国同类森林类型成熟林的植被碳密度平均值.随林分密度增加,森林植被碳密度增大,但在林分密度>1000株/hm2后,森林植被碳密度不再增大,达到其最大值,其中,天然林为75.4 t/hm2,人工林为34.6 t/hm2;林冠郁闭度对森林植被碳密度的影响与林分密度相似,森林植被碳密度增长的郁闭度拐点为0.5.水分条件是影响六盘山森林植被碳密度的重要因素,森林植被碳密度(t/hm2)由700 mm 以上地点的32.5(7.6-120.6)下降至年降水量500-600 mm地点的10.9(0.67-42.9),而且随年降水量减少,最大森林植被碳密度所对应的海拔高度呈增加趋势,如在年降水量为 > 700、600-700和 < 600 mm的地区,最大碳密度所在海拔高度分别为1900-2100、2100-2300和 2300-2500 m.综上所述,研究区森林植被还有较大的固碳潜力,从提高森林固碳功能角度来看,林分郁闭度不宜超过0.5. Abstract:In arid regions, the conflict between forest carbon sequestration and its water consuming has severely limited regional sustainable development. Deeply understanding of the spatial distribution of vegetation carbon density for forest vegetation is essential for quantitative evaluation of forest carbon sequestration capacity and the carrying out of water-forest integrated watershed management. However, most former studies mainly focused on the comparison of carbon density among typical sample plots. The spatial distribution of carbon density for forest vegetation and its causes were still unclear. In present study, the vegetation carbon density for forest and its variation with forest structure and site conditions were analyzed based on the data of forest resources inventory in 2005 for Liupan Mountains, northwest China and the data of carbon content and the biomass regression models from published papers. The results showed that the average of carbon density for forests in Liupan Mountains was 26.7 t/hm2 with a variation from 0.7 to 120.6 t/hm2, of which 69.4% (8.86%-99.2%) was stored in tree layer, 25.6% (1.6%-88.1%) in shrub layer, and 4.7% (0.12%-32.3%) in herb layer. The ratio of carbon density for tree layer to the total vegetation carbon density rose with the increase of total vegetation carbon density,while the ratio for shrub layer and herb layer sharply declined. The average carbon density was 35.1 t/hm2 for natural secondary forest. The average carbon density among the key natural secondary forest varied from 43.4 t/hm2 for Quercus liaotungernsis forest, 35.9 t/hm2 for Salix cathayana forest, 28.4 t/hm2 for Betula spp. forest to 22.3 t/hm2 for Populus davidiana forest. The carbon density of artifical plantation was very low with a mean value of 15.7 t/hm2 (0.67-66.7 t/hm2) which was significantly lower than 35.1 t/hm2 of natural secondary forest. The carbon density of forest stand increased linearly with the increase of stand age by the rate of 1.11 and 2.48 t hm-2 a-1 for natural secondary forest and artificial plantation, respectively. There was a tree density threshold of 1000 trees·hm-2 and a threshold of 0.5 for canopy density of forest vegetation. When either tree density or canopy density increased beneath the values of two thresholds, the carbon density of forest stand would increase sharply. Once either tree density or canopy density of forest stand reached and exceeded these threshold values, the carbon density of forest stand would meet its maximum and increase no more. The maximum carbon density was 75.4 t/hm2 and 34.6 t/hm2 for natural secondary forests and plantations, respectively. The carbon density of forest stand increased sharply with the increase of annual precipitation. The maximum of carbon density for forest stand occured on the altitude of 1900 -2100 m, 2100 -2300 m, 2300 -2500 m in the areas of Liupan Mountains with annual precipitation > 700 mm, 600-700 mm, < 600 mm, respectively. It was concluded that water condition was the determinant for forest vegetation carbon density in Liupan Mountains. The canopy density of forest stands in the areas like Liupan Mountains should be kept about 0.5 for carbon sequestration. 参考文献 相似文献 引证文献
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.