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罗春林,侯琳,白龙龙,耿增超,和文祥.抚育对林地土壤碳释放的影响——基于Yasso07估算.生态学报,2017,37(9):2894~2903 本文二维码信息
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抚育对林地土壤碳释放的影响——基于Yasso07估算
Effects of forest thinning on soil CO2 emissions in a pine-oak mixed stand in the Qinling Mountains based on the Yasso07 model estimate
投稿时间:2016-01-27  修订日期:2016-10-13
DOI: 10.5846/stxb201601270197
关键词间伐  土壤碳释放  Yasso07模型  松栎混交林  秦岭
Key Wordsforest thinning  Soil CO2 emission  Yasso07 soil carbon model  Pine-oak mixed forest  the Qinling Mountains
基金项目国家林业公益性行业科研专项(201304307)
作者单位E-mail
罗春林 西北农林科技大学林学院, 杨凌 712100  
侯琳 西北农林科技大学林学院, 杨凌 712100;教育部西部生态与环境修复重点实验室, 杨凌 712100 houlin_1969@nwsuaf.edu.cn 
白龙龙 西北农林科技大学林学院, 杨凌 712100  
耿增超 西北农林科技大学资源环境学院, 杨凌 712100  
和文祥 西北农林科技大学资源环境学院, 杨凌 712100  
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摘要:
间伐是森林经营的有效措施之一,其能减少林木枯损,有利于林下植被生长和植物种群更新,但也可改变森林小气候,从而影响林地土壤碳释放。以秦岭火地塘林区松栎混交林为研究对象,运用Yasso07模型模拟了不同间伐强度和间伐残留物移除强度下林地土壤CO2释放。结果表明:(1)针叶树种(油松Pinus tabulaefomis、华山松Pinus armandi)和阔叶树种(锐齿栎Quercus aliena var. acutesrrata)叶凋落物化学组分有较明显差异,针叶树种酒精溶解性化合物(ESC)和水溶性化合物(WSC)含量明显低于阔叶树种,其不溶性化合物(NSC)含量明显高于阔叶树种;(2)凋落物化学组分对林地土壤CO2释放有显著的影响;(3)在研究两个控制因子中,间伐强度是影响林地土壤CO2释放的主导因子,间伐后林地土壤CO2释放量有升高趋势;当间伐强度为12.38%,间伐残留物移除强度为53.18%时,林地土壤CO2释放量最小,为15.318 Mg hm-2 a-1
Abstract:
Natural forest-protection programs have been implemented to increase stand volume and forest ecosystem diversity, and to improve forest resources. However, they have had some negative influences on forests, such as high stand density and poor growth, and these can easily lead to insect outbreaks and fire disasters. Forest thinning can effectively eliminate the negative influences caused by natural forest protection management. Forest thinning programs have been conducted for several years and these approaches have led to reduced tree mortality and accelerated natural regeneration. However, it has been demonstrated that forest micro-climates influence soil CO2 emissions. This study investigated the effects of forest thinning on soil CO2 emissions using the Yasso07 model to simulate a pine-oak mixed forest in the Huoditang forest zone area of the Qinling Mountains. The topography of the Qinling Mountains is complicated and fractured, so it is difficult to duplicate experimental plots in a randomized block design. Therefore, the quadratic general rotary design was applied, and thinning and residue-removed intensity were the factors in the experiment. Thirteen experimental plots were selected, including five control levels and nine treatment plots. Five litter-fall collection frames (1 m × 1 m) were laid in each experimental plot. The litter fall was collected each month from September 2012 to September 2014. The ethanol-soluble, water-soluble, acid-soluble, and non-soluble compound contents in the leaf litter fall were determined. Although the technology to measure soil CO2 emissions has continually improved, the soil spatial heterogeneity and strong soil carbon stability in undisturbed habitats has led to inaccuracies in the evaluation methods used in forest soil carbon dynamics research. Yasso07 is a soil-carbon decomposition model and is based on the assumption that there are four types of litter transformation. Yasso07 has been widely used in Europe and the United States because it can be operated easily; requires few parameters, which are easy to obtain; and the simulated results are reliable. However, there was no basis to determine if it could be applied in the Qinling Mountains. Therefore, this study validated the reliability of the Yasso07 model in this region. The soil CO2 emission traits under different thinning and residue-removed intensities were analyzed based on simulations by the model. The following results were obtained: (1) there was a significant difference between the conifer and broadleaf litter chemical compositions. The ethanol and water soluble compound contents were significantly higher in the conifer tree litter than in the broadleaf tree litter, and the non-soluble compound content was significantly lower in conifer litter than in broadleaf litter. (2) The chemical composition of the litter fall significantly affected soil CO2 emissions, and (3) thinning intensity was the key factor affecting CO2 emissions. Soil CO2 emissions increased after forest thinning, and when the thinning and residue-removed intensities were 12.38% and 53.18%, respectively, the soil CO2 emission fell to a minimum of -15.318 Mg hm-2 a-1.
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