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利用皆伐法估算黔中喀斯特森林地上生物量 被引量:7
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作者 刘立斌 周运超 +3 位作者 程安云 王世杰 蔡先立 倪健 《生态学报》 CAS CSCD 北大核心 2020年第13期4455-4461,共7页
精确估算森林生物量对理解全球碳循环至关重要。已有的喀斯特森林地上生物量估算研究存在很高的不确定性,缺乏校准数据检验研究结果的精度。利用皆伐法,首次精确估算了我国西南贵州省中部喀斯特森林的地上生物量,并检验了已有生物量回... 精确估算森林生物量对理解全球碳循环至关重要。已有的喀斯特森林地上生物量估算研究存在很高的不确定性,缺乏校准数据检验研究结果的精度。利用皆伐法,首次精确估算了我国西南贵州省中部喀斯特森林的地上生物量,并检验了已有生物量回归方程和平均标准木法对该喀斯特森林地上生物量的估算效果。该喀斯特森林的地上生物量为122.81 Mg/hm^2,胸径(D)≥1 cm的木本植物、D<1 cm的木本植物和草本植物的地上生物量分别为120.00、2.56、0.24 Mg/hm^2。D在10—30 cm范围内的植株(83.89 Mg/hm^2)是地上生物量的主要贡献者。4个优势树种(云南鼠刺Itea yunnanensis、川钓樟Lindera pulcherrima、猴樟Cinnamomum bodinieri和化香树Platycarya strobilacea的地上生物量为103.03 Mg/hm^2,占森林总地上生物量的83.89%。干(61.04 Mg/hm^2)和枝(40.56 Mg/hm^2)的生物量远高于皮(11.61 Mg/hm^2)和叶(6.80 Mg/hm^2)。在物种水平上,已有生物量回归方程(误差-56.10%—84.61%)和平均标准木法(误差-36.43%—-5.14%)对该喀斯特森林地上生物量的估算效果均较差。最后,建立了5个新的生物量回归方程。本研究可为我国西南喀斯特地区精确估算森林碳储量提供基础校验数据和方法指导。 展开更多
关键词 地上生物量 皆伐法 生物量回归方程 喀斯特森林 碳储量
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西藏高原云南松生物量模型及碳储量 被引量:21
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作者 杨阳 冉飞 +3 位作者 王根绪 朱万泽 杨燕 周鹏 《生态学杂志》 CAS CSCD 北大核心 2013年第7期1674-1682,共9页
云南松林是西藏高原亮针叶林生态系统的重要组成部分,准确估算其生态系统碳储量不但有助于弄清西藏森林生态系统固碳现状,而且可为准确估算青藏高原乃至全国森林生态系统的固碳潜力和固碳速率提供基础数据。本研究以云南松为研究对象,... 云南松林是西藏高原亮针叶林生态系统的重要组成部分,准确估算其生态系统碳储量不但有助于弄清西藏森林生态系统固碳现状,而且可为准确估算青藏高原乃至全国森林生态系统的固碳潜力和固碳速率提供基础数据。本研究以云南松为研究对象,采用实地调查与建模相结合的方法,建立了各器官(叶、枝、干、根)与株高、胸径的生物量回归方程,并以此为基础计算了云南松幼龄林、中龄林、近熟林和成熟林生态系统的生物量和碳储量。结果表明:(1)用胸径和树高估测单株林木器官生物量的较优模型为指数模型,所建立的生物量回归方程相关性较好(R2>0.90),估计精度较高。(2)在云南松幼龄林、中龄林、近熟林和成熟林生态系统中植被总生物量分别为(63.80±9.21)、(134.76±12.69)、(142.91±13.02)、(316.72±42.57)t.hm-2,其中乔木层生物量分别为(49.48±10.32)、(120.57±9.37)、(124.70±12.92)、(304.76±32.47)t.hm-2,灌草层生物量为(13.09±3.02)、(12.81±2.54)、(11.88±3.12)、(3.47±0.98)t.hm-2,凋落物生物量为(1.23±0.24)、(1.38±0.31)、(0.72±0.11)、(1.13±0.39)t.hm-2。(3)各龄级云南松林生态系统植被碳储量分别为(30.67±7.13)、(67.63±19.06)、(71.00±4.15)、(159.32±39.95)t.hm-2,碳储量随林龄增加的变化规律明显,碳汇潜力巨大。 展开更多
关键词 西藏 云南松 生物量回归方程 生物量 碳储量
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Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa
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作者 Louis Sawadogo Patrice Savadogo +5 位作者 Daniel Tiveau Sidzabda Djibril Dayamba Didier Zida Yves Nouvellet Per Christer Oden Sita Guinko 《Journal of Forestry Research》 SCIE CAS CSCD 2010年第4期475-481,524,共8页
Allometric models are necessary for estimating biomass in terrestrial ecosystems. Generalized allometric relationship exists for many tropical trees, but species- and region-specific models are often lacking. We devel... Allometric models are necessary for estimating biomass in terrestrial ecosystems. Generalized allometric relationship exists for many tropical trees, but species- and region-specific models are often lacking. We developed species-specific allometric models to predict aboveground biomass for 11 native tree species of the Sudanian savanna- woodlands. Diameters at the base and at breast height, with species means ranging respectively from 11 to 28 cm and 9 to 19 cm, and the height of the trees were used as predictor variables. Sampled trees spanned a wide range of sizes including the largest sizes these species can reach. As a response variable, the biomass of the trees was obtained through destructive sampling of 4 754 trees during wood harvesting. We used a stepwise multiple regression analysis with backward elimination procedure to develop models separately predicting, total biomass of the trees, stem biomass, and biomass of branches and twigs. All species- specific regression models relating biomass with measured tree dimen- sions were highly significant (p 〈 0.001). The biomass of branches and twigs was less predictable compared to stem biomass and total biomass, although their models required fewer predictors and predictor interac- tions. The best-fit equations for total above-ground biomass and stem biomass bad R2 〉 0.70, except for the Acacia species; for branches including twig biomass, R2-values varied from 0.749 for Anogeissus leiocarpa to 0.183 for Acacia macrostachya. The use of these equations in estimating available biomass will avoid destructive sampling, and aid in planning for sustainable use of these species. 展开更多
关键词 ALLOMETRY above-ground biomass indigenous woody species linear regression site specific equation
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Are There Differences in the Response of Natural Stand and Plantation Biomass to Changes in Temperature and Precipitation?A Case for Two-needled Pines in Eurasia
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作者 USOLTSEV Vladimir Andreevich SHOBAIRI Seyed Omid Reza +4 位作者 TSEPORDEY Ivan Stepanovich AHRARI Amirhossein ZHANG Meng SHOAIB Ahmad Anees CHASOVSKIKH Viktor Petrovich 《Journal of Resources and Ecology》 CSCD 2020年第4期331-341,共11页
A comparative discussion of the advantages and disadvantages of natural stands and plantations,including in terms of their productivity and stability,began from the moment of the first forest plantings and continues t... A comparative discussion of the advantages and disadvantages of natural stands and plantations,including in terms of their productivity and stability,began from the moment of the first forest plantings and continues to this day.In the context of the progressive replacement of natural forests by plantations due to deforestation,the question of how will change the carbon storage capacity of forest cover when replacing natural forests with artificial ones in a changing climate becomes extremely relevant.This article presents the first attempt to answer this question at the transcontinental level on a special case for two-needled pine trees(subgenus Pinus L.).The research was carried out using the database compiled by the authors on the single-tree biomass structure of forest-forming species of Eurasia,in particular,data of 1880 and 1967 of natural and plantation trees,respectively.Multi-factor regression models are calculated after combining the matrix of initial data on the structure of tree biomass with the mean January temperature and mean annual precipitation,and their adequacy indices allow us to consider them reproducible.It is found that the aboveground and stem biomass of equal-sized and equal-aged natural and plantation trees increases as the January temperature and precipitation rise.This pattern is only partially valid for the branches biomass,and it has a specific character for the foliage one.The biomass of all components of plantation trees is higher than that of natural trees,but the percent of this excess varies among different components and depends on the level of January temperatures,but does not depend at all on the level of annual precipitation.A number of uncertainties that arose during the modeling process,as well as the preliminary nature of the obtained regularities,are noted. 展开更多
关键词 two-needled pine trees natural stands and plantations regression models biomass equations mean January temperature annual precipitation
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