森林碳汇智能计算模型和评估系统开发
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摘要
为提高森林碳汇经营水平,必须通过"森林经营"来增长森林碳汇,提高经营效率,对森林的组织和结构进行调整和控制,从而增加森林碳汇量。为此,设计碳汇评估的智能计算平台对森林碳汇量进行检测与评估,从人工林与天然林特征为切入点,建立针对天然林与人工林交替分布的森林碳汇储量的计算模型。以智能计算模型为核心的评估平台为快速、准确的进行森林碳汇大数据的计算和分析提供自动化的评价环境。
To improve the management level of forest carbon sinks,the paper uses " the forest management" to increase forest carbon sinks which can constantly improve the management efficiency,adjust and control the organization and structure of the forest,so as to increase forest carbon sink. An intelligent computing platform of carbon sink assessment is designed to detect and assess forest carbon sink. Based on the study of the characteristics of man-made forest and natural forest,a calculation model of forest carbon sink which includes nature forest and plantation forest is established.The evaluation platform with intelligent computing model as the core provides an automated evaluation environment for fast and accurate calculation and analysis of forest carbon sink.
To improve the management level of forest carbon sinks,the paper uses " the forest management" to increase forest carbon sinks which can constantly improve the management efficiency,adjust and control the organization and structure of the forest,so as to increase forest carbon sink. An intelligent computing platform of carbon sink assessment is designed to detect and assess forest carbon sink. Based on the study of the characteristics of man-made forest and natural forest,a calculation model of forest carbon sink which includes nature forest and plantation forest is established.The evaluation platform with intelligent computing model as the core provides an automated evaluation environment for fast and accurate calculation and analysis of forest carbon sink.
引文
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[11]胡相明,程积民,万惠娥.黄土丘陵区人工林下草本层植物的结构特征[J].水土保持通报,2006(3):41-45.
[12]刘凤娇.长白落叶松人工林林下植被生物量与多样性研究[D].北京林业大学,2011.
[13] Nafus H,Aleta M,Mc Claran,et al. Multispecies Allometric Models Predict Grass Biomass in Semidesert Rangeland[J]. Rangeland Ecology and Management,2009,62(1):68-72.
[14]胡海清,罗碧珍,魏书精,等.大兴安岭5种典型林型森林生物碳储量[J].生态学报,2015,35(17):5745-5760.
[15]洪雪姣.大、小兴安岭主要森林群落类型土壤有机碳密度及影响因子的研究[D].哈尔滨:东北林业大学,2012.
[16]王思楚,刘茹,王志强,等.东北典型黑土区表层土壤有机碳储量及适宜样本容量[J].水土保持学报,2016,30(4):221-226.
[2]李丹,陈宏伟,李根前,等.我国天然林与人工林的比较研究[J].林业调查规划,2011,36(6):59-63.
[3]邱春洪,熊珂.森林经营管理对森林碳汇的作用及提高对策[J].低碳世界,2017(24):280-281
[4]国家林业局造林绿化管理司.造林项目碳汇计量监测指南[M].北京:中国林业出版社,2014.
[5]刘世荣,代力民,温远光,等.面向生态系统服务的森林生态系统经营:现状、挑战与展望[J].生态学报,2015,35(1):1-9.
[6]龚艳宾.天然阔叶红松林下植被物种多样性及生物量研究[D].北京:北京林业大学,2016.
[7]李茜,王芳,曹扬,等.陕西省森林土壤固碳特征及其影响因素[J].植物生态学报,2017,41(9):953-963.
[8] Noel D P,Michael J L,Allison K R,et al. Modelling the growth of young rainforest trees for biomass estimates and carbon sequestration accounting[J]. Forest Ecology and Management,2015,351(17):57-66.
[9] Wei Y W,Li M H,Chen H,et al. Variation in carbon storage and its distribution by stand age and forest type in boreal and temperate forests in Northeastern China[J]. PLo S One,2013,8(8):e72201.
[10] Strong W L. Tree canopy effects on understory species abundance in high-latitude Populus tremuloides stands, Yukon,Canada[J].Community Ecology,2011,12(1):89-98.
[11]胡相明,程积民,万惠娥.黄土丘陵区人工林下草本层植物的结构特征[J].水土保持通报,2006(3):41-45.
[12]刘凤娇.长白落叶松人工林林下植被生物量与多样性研究[D].北京林业大学,2011.
[13] Nafus H,Aleta M,Mc Claran,et al. Multispecies Allometric Models Predict Grass Biomass in Semidesert Rangeland[J]. Rangeland Ecology and Management,2009,62(1):68-72.
[14]胡海清,罗碧珍,魏书精,等.大兴安岭5种典型林型森林生物碳储量[J].生态学报,2015,35(17):5745-5760.
[15]洪雪姣.大、小兴安岭主要森林群落类型土壤有机碳密度及影响因子的研究[D].哈尔滨:东北林业大学,2012.
[16]王思楚,刘茹,王志强,等.东北典型黑土区表层土壤有机碳储量及适宜样本容量[J].水土保持学报,2016,30(4):221-226.