森林生物量估算方法研究进展
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摘要
森林生物量既是估算森林碳储量及判断森林碳汇能力的主要因子,也是森林生态系统健康评价的重要指标.因此,科学估算森林生物量既可为碳排放调控和碳交易提供决策支持,也可为评价森林质量提供基础依据.根据所采用数据源的不同,将森林生物量估算方法分为收获法、蓄积量转化法和遥感法.概括森林生物量估算方法的发展历程,并简要总结存在的问题及给出研究趋势.
Forest biomass is a major factor of estimating forest carbon storage and evaluating forest carbon sink capacity,and it's an important indicator to measure the health of forest ecosystem. So estimating scientifically forest biomass can provide decision support for regulation of carbon emissions and carbon trading,also it can provide the basis for evaluation of forest resource quality. According to the data source,the methods used to estimate forest biomass introducing can be categorized into harvesting method,volume derived biomass method and remote sensing method.At the same time,this paper also briefly summarized the problems and analyzed the research trends of methods on estimating forest biomass.
Forest biomass is a major factor of estimating forest carbon storage and evaluating forest carbon sink capacity,and it's an important indicator to measure the health of forest ecosystem. So estimating scientifically forest biomass can provide decision support for regulation of carbon emissions and carbon trading,also it can provide the basis for evaluation of forest resource quality. According to the data source,the methods used to estimate forest biomass introducing can be categorized into harvesting method,volume derived biomass method and remote sensing method.At the same time,this paper also briefly summarized the problems and analyzed the research trends of methods on estimating forest biomass.
引文
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[21]黄丽艳,闫巧玲,高添,等.基于ALOSPALSAR雷达影像的人工林蓄积量估算:以塞罕坝机械林场华北落叶松人工林为例[J].生态学杂志,2015,34(9):2401-2409.
[22]陈尔学.合成孔径雷达森林生物量估测研究进展[J].世界林业研究,1999,12(6):18-23.
[23]黄华国.激光雷达技术在林业科学研究中的进展分析[J].北京林业大学学报,2013,35(4):134-143.
[24]刘东起,范文义,李明泽.利用小光斑激光雷达估测林分参数和生物量[J].东北林业大学学报,2012,40(1):39-43.
[25]尤号田,邢艳秋,王萌,等.小光斑激光雷达数据估测森林生物量研究进展[J].森林工程,2014,30(3):39-42,46.
[26]曹林,佘光辉,代劲松,等.激光雷达技术估测森林生物量的研究现状及展望[J].南京林业大学学报(自然科学版),2013,37(3):163-169.
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[28] Holmgren J,Persson A,Soerman U.Species identification of individual trees by combining high resolution Li DAR data with multi-spectral images[J].International Journal of Remote Sensing,2008,29(5):1537-1552.
[29] Hyde P,Nelson R,Kimes D,et al. Exploring Li DAR-RaDAR synergy-predicting aboveground biomass in a southwestern ponderosa pine forest using Li DAR,SAR and In SAR[J].Remote Sensing of Environment,2007,106(1):28-38.
[30]董立新,吴炳方,唐世浩.激光雷达GLAS与ETM联合反演森林地上生物量研究[J].北京大学学报(自然科学版),2011,47(4):703-710.
[31] Fang J Y,Guo Z D,Piao S L,et al.Terrestrial vegetation carbon sinks in China,1981-2000[J].Science in China Series D:Earth Sciences,2007,50(9):1341-1350.
[32]刘顺,罗达,杨洪国,等.川西亚高山岷江冷杉原始林细根生物量、生产力和周转[J].生态学杂志,2018,37(4):987-993.
[33]苏纪帅,程积民,高阳,等.宁夏大罗山4种主要植被类型的细根生物量[J].应用生态学报,2013,24(3):626-632.
[2]李丹丹.北京市森林生物量遥感反演模型研究[D].北京:北京林业大学,2013.
[3]张志,田昕,陈尔学,等.森林地上生物量估测方法研究综述[J].北京林业大学学报,2011,33(5):144-150.
[4]段祝庚,赵旦,曾源,等.基于遥感的区域尺度森林地上生物量估算研究[J].武汉大学学报(信息科学版),2015,40(10):1400-1408.
[5]薛巍.基于RS与GIS的黄龙山林区油松林生物量估测的研究[D].呼和浩特:内蒙古农业大学,2009.
[6]巨文珍,农胜奇.森林生物量研究进展[J].西南林业大学学报,2011,31(2):78-83,89.
[7] Eberneryer E.Die gesamte Lehre der Waldstreu mit Rucksicht auf die chemische statik des Waldbaues[M].Berlin:J Springer,1876:116.
[8]张建设,王刚,王刚.植物生物量研究综述[J].四川林业科技,2014,35(1):44-48.
[9]汤萃文,陈银萍,陶玲,等.森林生物量和净生长量测算方法综述[J].干旱区研究,2010,27(6):939-946.
[10]薛立,杨鹏.森林生物量研究综述[J].福建林学院学报,2004,24(3):283-288.
[11] Brown S,Lugo A E. Biomass of tropical forests:a new estimate based on forest volumes[J]. Science,1984,223(4642):1290-1293.
[12] Fang J Y,Wang G G,Liu G H,et al.Forest biomass of China:an estimate based on the biomass-volume relationship[J].Ecological Applications,1998,8(4):1084-1091.
[13] Brown S,Lugo A E.Aboveground biomass estimates for tropical moist forests of Brazilian Amazon[J].Interciencia,1992,17:8-18.
[14] Schroeder P,Brown S,Mo J,et al.Biomass estimation for temperate broadleaf forests of the united states using inventory data[J].For Sci,1997,43(3):424-434.
[15]方精云,刘国华,徐嵩龄.我国森林植被的生物量和净生产量[J].生态学报,1996,16(5):497-508.
[16] Zhou G S,Wang Y H,Jiang Y L,et al.Estimating biomass and net primary production from forest inventory data:a case study of China’s Larix forests[J].Forest Ecology&Management,2002,169(1):149-157.
[17]黄燕平,陈劲松.基于SAR数据的森林生物量估测研究进展[J].国土资源遥感,2013,25(3):7-13.
[18] Wang X C,Shao G F,Chen H,et al. An application of remote sensing data in mapping landscape-level forest biomass for monitoring the effectiveness of forest policies in Northeastern China[J].Environmental Management,2013,52(3):612-620.
[19]胡凯龙,刘清旺,李世明,等.运用融合纹理和机载Li DAR特征模型估测森林地上生物量[J].东北林业大学学报,2018,46(1):52-57.
[20]汤旭光,刘殿伟,王宗明,等.森林地上生物量遥感估算研究进展[J].生态学杂志,2012,31(5):1311-1318.
[21]黄丽艳,闫巧玲,高添,等.基于ALOSPALSAR雷达影像的人工林蓄积量估算:以塞罕坝机械林场华北落叶松人工林为例[J].生态学杂志,2015,34(9):2401-2409.
[22]陈尔学.合成孔径雷达森林生物量估测研究进展[J].世界林业研究,1999,12(6):18-23.
[23]黄华国.激光雷达技术在林业科学研究中的进展分析[J].北京林业大学学报,2013,35(4):134-143.
[24]刘东起,范文义,李明泽.利用小光斑激光雷达估测林分参数和生物量[J].东北林业大学学报,2012,40(1):39-43.
[25]尤号田,邢艳秋,王萌,等.小光斑激光雷达数据估测森林生物量研究进展[J].森林工程,2014,30(3):39-42,46.
[26]曹林,佘光辉,代劲松,等.激光雷达技术估测森林生物量的研究现状及展望[J].南京林业大学学报(自然科学版),2013,37(3):163-169.
[27]冯仲科,罗旭,石丽萍.森林生物量研究的若干问题及完善途径[J].世界林业研究,2005,18(3):25-28.
[28] Holmgren J,Persson A,Soerman U.Species identification of individual trees by combining high resolution Li DAR data with multi-spectral images[J].International Journal of Remote Sensing,2008,29(5):1537-1552.
[29] Hyde P,Nelson R,Kimes D,et al. Exploring Li DAR-RaDAR synergy-predicting aboveground biomass in a southwestern ponderosa pine forest using Li DAR,SAR and In SAR[J].Remote Sensing of Environment,2007,106(1):28-38.
[30]董立新,吴炳方,唐世浩.激光雷达GLAS与ETM联合反演森林地上生物量研究[J].北京大学学报(自然科学版),2011,47(4):703-710.
[31] Fang J Y,Guo Z D,Piao S L,et al.Terrestrial vegetation carbon sinks in China,1981-2000[J].Science in China Series D:Earth Sciences,2007,50(9):1341-1350.
[32]刘顺,罗达,杨洪国,等.川西亚高山岷江冷杉原始林细根生物量、生产力和周转[J].生态学杂志,2018,37(4):987-993.
[33]苏纪帅,程积民,高阳,等.宁夏大罗山4种主要植被类型的细根生物量[J].应用生态学报,2013,24(3):626-632.
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