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1.
森林生态系统是最重要的陆地生态系统碳库,人工林生态系统碳储量在森林碳储量中所占比重越来越大。本研究选取天津平原地区不同林龄杨树人工林,通过野外调查和室内分析,估算了杨树人工林乔木、草本、凋落物和土壤碳储量。结果表明:人工杨树幼龄林、中龄林和成熟林的乔木生物量分别为43.65、56.18和121.59 t·hm-2,乔木各组分生物量所占比例在幼龄林和中龄林中表现为干根枝叶,在成熟林中表现为干枝根叶。3个林龄段杨树人工林的草本层生物量分别为4.60、2.92和1.58 t·hm-2,凋落物生物量分别为0.46、0.35和0.66 t·hm-2。人工杨树幼龄林、中龄林和成熟林生态系统碳储量分别为84.34、121.03和121.72 t C·hm-2,其中群落碳储量分别占25.85%、22.25%和46.58%,土壤碳储量分别占74.15%、77.75%和53.42%。群落碳储量中乔木碳储量分别为20.04、25.78和55.95 t C·hm-2;草本碳储量分别为1.63、1.05和0.57 t C·hm-2;凋落物碳储量分别为0.14、0.10和0.19 t C·hm-2。3个林龄段杨树人工林土壤有机碳储量(0~100 cm)依次为62.53、94.10和65.03 t C·hm-2,其中0~30 cm土壤有机碳储量所占比例分别为33.91%、37.64%和44.16%,随林龄的增加而增加。结果表明,杨树人工林生态系统碳储量随林龄的增加显著增加,而目前天津杨树人工林以幼龄林为主,未来天津杨树人工林存在巨大的碳储存空间。 相似文献
2.
大兴安岭5种典型林型森林生物碳储量 总被引:6,自引:0,他引:6
森林生态系统是陆地生态系统的重要碳库,森林生态系统的生物碳储量作为森林生态系统碳库的重要组成部分,对全球碳循环与碳平衡产生重要作用。以大兴安岭5种典型林型为研究对象,结合森林资源清查资料,采用地理信息技术(GIS),将5种林型分龄组分别对乔木层、林下的灌木层、草本层和凋落物层各组分的单位面积生物量、含碳率和生物碳储量进行测定和计量估算,并从林分水平上,采用分龄组的方法,计量估算了生物碳储量。结果表明:大兴安岭5种典型林型不同龄组的生物碳储量分别为:兴安落叶松幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为15.20、50.96、95.80t/hm2和109.33t/hm2;白桦幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为15.36、30.67、41.62t/hm2和64.35t/hm2;樟子松幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为29.89、59.92、90.01t/hm2和117.08t/hm2;蒙古栎幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为11.17、11.90、34.94t/hm2和59.49t/hm2;山杨幼龄林、中龄林、近熟林和成熟林的生物碳储量分别为21.81、28.58、42.84t/hm2和64.39t/hm2。研究发现:5种典型林型不同龄组的森林生物碳储量均随着林龄(幼龄林、中龄林、近熟林和成熟林)的增长而增加,但不同林型的碳汇功能存在差异,同一种林型在不同林龄的生物碳储量增幅差异亦较大。尤其是大兴安岭目前林分质量比较差,幼龄林和中龄林所占的比重较大,若能对现有林分加以更好地抚育和管理,该区森林植被仍具有较大的碳汇潜力,碳汇功能将进一步增强,大兴安岭在国家的生态功能区建设中将发挥更重要的碳汇功能,对此提出了森林生态系统碳增汇管理策略与管理路径。研究结果为正确认识森林生物碳储量对区域碳平衡及生态环境的影响具有重要意义,以及在未来营林、造林活动中充分发挥人工林碳汇效应提供参考依据。 相似文献
3.
长白落叶松人工林乔木层生物量分布特征及其固碳能力研究 总被引:1,自引:0,他引:1
基于8~56 a长白落叶松人工林样地生物量调查数据,建立了长白落叶松林各器官生物量模型,探讨了不同林龄长白落叶松人工林干材、树皮、树枝、树叶、树根的生物量分布与变化规律及单木与林分乔木层的固碳能力。结果表明:随着林龄的增大,长白落叶松人工林林木及各器官生物量均呈现不同程度的增加趋势,单株木生物量由8 a时的0.174 kg增加至56 a时的328.196 kg,林分乔木层生物量由8 a时的0.519 t·hm-2增加至56 a时的251.39 t·hm-2,其中树干所占比例最大,且增幅最大。长白落叶松人工林单木平均碳储量为74.822 kg,56 a林分乔木层碳密度为130.455 t·hm-2,平均碳密度达63.113 t·hm-2,各器官碳储量变化规律明显。长白落叶松人工林幼龄林、中龄林、近熟林、成熟林林分乔木层的年平均固碳量分别为0.087、1.193、1.703、2.124 t·hm-2,固碳量年平均增长率排序为中龄林幼龄林成熟林近熟林。研究认为,长白落叶松人工林单株木及林分各器官生物量随林龄增加具有明显的变化规律,成熟林分固碳水平最高,中龄林分后期固碳潜力最大。 相似文献
4.
基于野外调查与室内实测数据,结合第八次全国森林资源清查资料,分析了甘肃省5种典型人工林生态系统(刺槐、杨树、油松/华山松、落叶松及云杉林)森林生态系统碳密度、碳储量,并估算了乔木层固碳潜力.结果表明: 5种典型人工林生态系统平均碳密度和总碳储量分别为139.65 t·hm-2和85.78 Tg,不同人工林类型之间差异较大.不同龄组间碳密度表现为近熟林(250.70 t·hm-2)最大,其次是成熟林(175.97 t·hm-2)和中龄林(156.92 t·hm-2),幼龄林(117.56 t·hm-2)最低.碳储量表现为幼龄林(45.47 Tg)>中龄林(19.54 Tg)>成熟林(11.84 Tg)>近熟林(8.93 Tg),幼中龄林碳储量占总碳储量的75.9%.5种典型人工林乔木层现实固碳潜力合计为7.27 Tg,刺槐林(2.49 Tg)和杨树林(2.10 Tg)最大;各龄组中,幼龄林现实固碳潜力最大(3.78 Tg),其次是中龄林(2.04 Tg),近熟林最小(0.45 Tg).5种典型人工林乔木层最大固碳潜力达27.55 Tg,表现为刺槐林(9.42 Tg)>落叶松林(6.22 Tg)≈云杉林(6.36 Tg)>杨树林(3.18 Tg)>油松/华山松林(2.37 Tg);其中,幼、中龄林最大固碳潜力分别为18.48和6.89 Tg,占总最大固碳潜力的92%. 相似文献
5.
Biomass carbon density and carbon sequestration capacity in seven typical forest types of the Xiaoxing’an Mountains,China 总被引:2,自引:0,他引:2
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森林生物碳储量作为森林生态系统碳库的重要组成部分,在全球碳循环中发挥着重要作用。以小兴安岭7种典型林型为研究对象,通过外业样地调查与室内实验分析相结合的方法,从林分尺度对林分生物量与碳密度进行计量,分析了林分生物碳储量的空间分配格局,并对林分年固碳能力与碳汇潜力进行了探讨。结果表明:小兴安岭不同林型从幼龄林到成熟林的乔木层碳密度增长速率为:蒙古栎(Quercus mongolica)林>兴安落叶松(Larix gmelinii)林>云冷杉(Picea-Abies)林>樟子松(Pinus sylvestris var.mongolica)林>山杨(Populus davidiana)林>红松(Pinus koraiensis)林>白桦(Betula platyphylla)林。7种典型林型不同龄组(幼龄林、中龄林、近熟林和成熟林)林分生物量碳密度分别为:红松林31.4、74.7、118.4和130.2 t·hm–2;兴安落叶松林28.9、44.3、74.2和113.3 t·hm–2;樟子松林22.8、52.0、71.1和92.6 t·hm–2;云冷杉林23.1、44.1、77.6和130.3 t·hm–2;白桦林18.8、35.3、66.6和88.5 t·hm–2;蒙古栎林25.0、20.0、47.5和68.9 t·hm–2;山杨林19.8、28.7、43.7和76.6 t·hm–2。红松林、兴安落叶松林、樟子松林和蒙古栎林在幼龄林时林分年固碳量较高,其他林型在成熟林时林分年固碳量较高。7种典型林型不同龄组的林分生物量碳密度均随林龄增长而增加,但不同林型的碳汇功能存在差异,同一林型不同林龄的生物量碳密度增幅差异也较大。林分年固碳量在0.4–2.8 t·hm–2之间,碳汇能力较强、碳汇潜力较大。尤其是小兴安岭目前林分质量较差,幼龄林和中龄林所占的比重较大,具有较大的碳汇潜力。研究结果可为森林经营管理及碳汇功能评价提供参考。 相似文献
6.
不同林龄长白落叶松人工林碳储量 总被引:13,自引:3,他引:10
基于7—41 a长白落叶松人工林样地生物量调查,探讨了不同发育阶段长白落叶松人工林碳储量的时空变化规律。结果表明:随林龄的增大,长白落叶松人工林林木和各器官生物量增加,树干所占比例增加,生物量转换因子(BEF)、根茎比(R)等参数分布正常。林下植被层、倒落木质物层生物量随林龄增大呈增加趋势。群落总碳储量的空间分布序列是:乔木层倒落木质物层林下植被层。未成林期、幼龄林、中龄林、近熟林和成熟林群落的碳储分别为6.585、66.934、90.019、125.103、162.683t.hm-2,乔木层碳储量分别为3.254、58.521、78.086、108.02、138.096 t.hm-2,倒落木质物层和林下植被层碳储量平均值分别为10.859、1.988 t.hm-2。乔木层、倒落木质物层和林下植被层碳储量占总量的平均比率分别为85.99%、2.17%和11.85%。在不同发育阶段群落和乔木层碳储量的年生产力呈先降后升的变化趋势,中龄林的碳储量累积速率高于幼龄林及成熟林,碳素年固定量分别为0.940、3.889、3.615、3.628、3.968 t.hm-2,乔木层年生产力分别为0.465、3.39、3.137、3.133、3.368 t.hm-2。林下植被层年生产力呈"U"形变化,平均值为0.079 t.hm-2。倒落木质物层的年生产力呈线性增长,平均值为0.423 t.hm-2。研究认为长白落叶松人工林群落碳储量随林龄增加的变化规律明显,碳汇潜力巨大。 相似文献
7.
不同林龄麻栎林地下部分生物量与碳储量研究 总被引:1,自引:0,他引:1
探讨不同林龄麻栎林地下部分根系的生物量与碳储量,为麻栎林的经营管理及碳汇管理等提供科学依据。以江苏省句容市不同林龄(幼龄林、中龄林、近熟林、成熟林)的麻栎林为研究对象,采用全根挖掘法获取麻栎各级根系及灌草层根系,并测定其生物量、碳含量,构建麻栎根系生物量模型,估算麻栎林地下部分根系碳储量及麻栎林群落碳储量。通过11种数学回归模型的比较,构建麻栎各级根系生物量幂回归模型,计算得到幼龄林、中龄林、近熟林、成熟林麻栎根系生物量分别为14.81t/hm~2、41.15t/hm~2、50.36t/hm~2、53.75t/hm~2,各级根系生物量大小顺序是:根桩粗根大根细根;灌木与草本植物根系生物量分别为0.48—1.71t/hm~2、0.13—0.60t/hm~2;不同林龄麻栎林群落根系生物量为15.42—56.06t/hm~2,且随林龄的增大而增大。麻栎根系碳含量大小顺序为:根桩粗根大根细根,且碳含量差异显著;灌木与草本植物根系碳含量分别为41.84%—43.79%、34.03%—38.48%,随林龄变化均无明显变化规律。麻栎林乔木根系碳储量随林龄增大而增大,幼龄林、中龄林、近熟林、成熟林根系碳储量分别为6.01t/hm~2、17.41t/hm~2、21.79t/hm~2、21.99t/hm~2;灌木与草本植物根系碳储量均随林龄增大而增大;幼龄林、中龄林、近熟林、成熟林群落根系碳储量分别为6.26t/hm~2、17.74t/hm~2、22.37t/hm~2、22.94t/hm~2,且乔木层灌木层草本层。麻栎林地下部分根系生物量与碳储量随林龄的增大而增大,幼龄林到近熟林生长过程中生物量与碳储量增加快速,近熟林后生物量与碳素积累缓慢,且与成熟林接近。 相似文献
8.
人工林生态系统碳储量的空间分配格局对全球陆地碳循环有重要的影响,但湖南省杉木人工林生态系统碳储量的分配格局并不清楚。本研究在湖南省样地野外调查的基础上,结合第八次全国森林资源清查的结果,计算出湖南省杉木人工林生态系统的碳储量空间分布格局。结果表明:杉木人工林生态系统碳密度随着林龄增加而增加,幼龄林、中龄林和成熟林分别为125.70、138.57、193.72 Mg·hm~(-2);其中,幼龄林、中龄林和成熟林的植被生物量碳密度分别为18.72、38.86、62.48 Mg·hm~(-2);土壤碳密度随着林分发育先降低后增加,幼龄林为105.49 Mg·hm~(-2)、中龄林为97.23 Mg·hm~(-2)、成熟林126.7 Mg·hm~(-2);湖南省杉木人工林生态系统碳储量为307.48 Tg,其中幼龄林为90.57 Tg,中龄林为91.87 Tg,成熟林为125.31 Tg;湖南省杉木人工林生态系统的固碳潜力为85.56 Tg,其中,植被固碳潜力为47.19 Tg,土壤的固碳潜力为34.82 Tg。确定杉木人工林固碳潜力有助于量化人工林对碳汇的贡献及其制定实现潜力的森林经营管理措施。 相似文献
9.
长白山原始红松林次生演替过程中土壤微生物生物量和酶活性变化 总被引:6,自引:0,他引:6
采用空间代替时间的方法,以我国东北地区温带森林长白山原始阔叶红松林成熟林(200年)和过熟林(>200年)及其次生演替不同阶段——白桦幼龄林(20年)、白桦中幼龄林(30年)、白桦中龄林(50年)、白桦成熟林(80年)和白桦过熟林(100年)为研究对象,分析了长白山原始阔叶红松林次生演替过程中土壤有机碳、土壤微生物生物量碳、氮、磷及土壤酶活性变化.结果表明:白桦幼龄林和白桦成熟林的土壤腐殖质层(A层)有机碳含量最高,分别为154.8和154.3 g·kg-1,而顶极群落原始阔叶红松林A层有机碳含量相对较低,成熟林和过熟林分别为141.8和133.4 g·kg-1.白桦中龄林和白桦成熟林的微生物生物量碳和微生物熵均高于其他林地,纤维素酶、过氧化物酶、酸性磷酸酶和纤维二糖酶的活性到中龄林和成熟林达到最高,而此阶段的多酚氧化酶活性最低,提示白桦中龄林及白桦成熟林土壤有机碳周转速度快,土壤有机碳可能处于较强的积累过程中.统计分析表明,土壤微生物生物量碳与土壤有机碳、全氮和有效磷含量之间呈极显著正相关(r分别为0.943、0.963和0.953,P<0.01). 相似文献
10.
辽河源不同龄组油松天然次生林生物量及空间分配特征 总被引:1,自引:0,他引:1
油松是中国暖温带区域主要的森林植被,精确计算油松天然林生物量及准确表征空间分布特征对其在固碳释氧、林木积累营养物质等方面的生态服务功能评估具有重要意义。目前,国内基本上没有进行油松天然次生林生物量及空间分配在一个年龄序列上的研究。研究的主要目的是准确估算河北省平泉县辽河源自然保护区4个龄组油松天然次生林林分各组分的生物量,并揭示生物量在空间的分配特征。在每种林分内,林下植被层(灌木和草本)和凋落物层生物量通过样地调查和全挖取样的方法计算。基于胸径(DBH)和树高(H)的异速生长方程则用于计算乔木层生物量。结果表明:(1)林分生物量大小排序为:成熟林(397.793 t/hm2)近熟林(242.188 t/hm2)中龄林(203.801 t/hm2)幼龄林(132.894 t/hm2);(2)乔木层生物量成熟林(373.128 t/hm2)近熟林(224.991 t/hm2)中龄林(187.750 t/hm2)幼龄林(119.169 t/hm2)。地上部分各组分生物量大小关系略有差异,幼龄林和近熟林为:干根枝叶干皮球果,而中龄林和成熟林则是干根枝干皮叶球果。干生物量对于各龄组乔木层生物量来说是最大的贡献者,所占比例表现为:中龄林(66.25%)近熟林(64.38%)成熟林(62.09%)幼龄林(38.41%),而贡献较小的球果则是成熟林(1.02%)幼龄林(0.88%)近熟林(0.72%)中龄林(0.53%)。根系总生物量在18.315 t/hm2(中龄林)—44.849 t/hm2(成熟林)之间,其组分生物量大小整体上表现为:根桩粗根大根细根小细根;(3)灌木层生物量成熟林(0.861 t/hm2)近熟林(0.790 t/hm2)中龄林(0.559 t/hm2)幼龄林(0.401 t/hm2),各组分生物量大小为根茎叶;(4)草本层生物量幼龄林(3.058 t/hm2)近熟林(2.017 t/hm2)中龄林(1.220 t/hm2)成熟林(1.181 t/hm2),地下部分生物量均大于地上部分;(5)凋落物层生物量成熟林(22.623 t/hm2)近熟林(14.390 t/hm2)中龄林(14.272 t/hm2)幼龄林(10.265 t/hm2),各层生物量大小为:未分解层半分解层全分解层。(6)在各层次生物量的比较中,4个龄组均表现为乔木层凋落物层草本层灌木层。其中,幼龄林乔木层生物量占89.67%、中龄林占92.13%、近熟林占92.90%,成熟林占93.80%。 相似文献
11.
《植物生态学报》2017,41(1):22
Aims Shrubland is one of the most widely distributed vegetation types in northern China. Previous studies on pattern and dynamics of plant biomass have been focused on forest and grassland ecosystems, while relevant knowledge on shrubland ecosystems is lacking. It is important to include shrublands in northern China to improve the accuracy in estimating the terrestrial ecosystem biomass in China.
Methods Based on investigations and samplings from 433 shrubland sites, we explored the distribution and allocation patterns of biomass in relation to climatic and soil nutrient factors of shrublands of temperate China.
Important findings The average shrubland biomass density in northern China is 12.5 t·hm-2. It decreases significantly from temperate deciduous shrubland in northeast to desert shrubland in northwest. The average biomass density of temperate deciduous shrubland, alpine shrubland, and desert shrubland is 14.4, 28.8, and 5.0 t·hm-2, respectively. Within temperate deciduous shrublands, plant biomass is lower in North China than in Northeast China. The average aboveground and belowground biomass density of shrub layer is 4.5 and 5.4 t·hm-2, respectively; while that of grass layer is 0.8 and 1.8 t·hm-2, respectively. Environmental factors affect biomass allocation across different plant organs. The belowground-aboveground biomass ratio of shrub exhibits no significant changes with environmental variables. The leaf-stem ratio increases with annual precipitation, and leaf biomass is low in arid region. 相似文献
Methods Based on investigations and samplings from 433 shrubland sites, we explored the distribution and allocation patterns of biomass in relation to climatic and soil nutrient factors of shrublands of temperate China.
Important findings The average shrubland biomass density in northern China is 12.5 t·hm-2. It decreases significantly from temperate deciduous shrubland in northeast to desert shrubland in northwest. The average biomass density of temperate deciduous shrubland, alpine shrubland, and desert shrubland is 14.4, 28.8, and 5.0 t·hm-2, respectively. Within temperate deciduous shrublands, plant biomass is lower in North China than in Northeast China. The average aboveground and belowground biomass density of shrub layer is 4.5 and 5.4 t·hm-2, respectively; while that of grass layer is 0.8 and 1.8 t·hm-2, respectively. Environmental factors affect biomass allocation across different plant organs. The belowground-aboveground biomass ratio of shrub exhibits no significant changes with environmental variables. The leaf-stem ratio increases with annual precipitation, and leaf biomass is low in arid region. 相似文献
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13.
放线菌酮和链霉素可以选择性地抑制土壤真菌和细菌的葡萄糖诱导呼吸作用,但抑制效果仅50%左右。二者的最适用量每克土分别为8~12mg和4~8mg,培养时间以低于4h为好。在两个土壤上选择性呼吸抑制方法测定的结果与直接显微镜计数法所得的结果相当,但是,加入链霉素时,一个粘性土壤的葡萄糖诱导量不但被抑制,反而随链霉素加入量的增加,诱导呼吸量增加,是否与其高的粘粒含量有关乃需要做进一步研究。另还详细地讨论 相似文献
14.
南亚热带常绿阔叶林优势种群的生物量与生物量增量 总被引:2,自引:0,他引:2
粘木种群的生物量为70.14t/hm2,生物量增量为2.32thm2a-1。其总生物量的90%以上分布在d≥20cm的大树,仅有0.04%~0.05%分布在d<10cm的小树。在各器官的分配是:树干为65%,根为25%,枝为11%,而叶仅占有2%。粘木的平均径向增长为0.35cm/a。应用树干解析法和形率法估算树干的生物量,两者的结果差别不大。但形率法则既省力省时,又较方便。粘木的形率为0.71。 相似文献
15.
Environmental limitation mapping of potential biomass resources across the conterminous United States
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Christopher Daly Michael D. Halbleib David B. Hannaway Laurence M. Eaton 《Global Change Biology Bioenergy》2018,10(10):717-734
Several crops have recently been identified as potential dedicated bioenergy feedstocks for the production of power, fuels, and bioproducts. Despite being identified as early as the 1980s, no systematic work has been undertaken to characterize the spatial distribution of their long‐term production potentials in the United states. Such information is a starting point for planners and economic modelers, and there is a need for this spatial information to be developed in a consistent manner for a variety of crops, so that their production potentials can be intercompared to support crop selection decisions. As part of the Sun Grant Regional Feedstock Partnership (RFP), an approach to mapping these potential biomass resources was developed to take advantage of the informational synergy realized when bringing together coordinated field trials, close interaction with expert agronomists, and spatial modeling into a single, collaborative effort. A modeling and mapping system called PRISM‐ELM was designed to answer a basic question: How do climate and soil characteristics affect the spatial distribution and long‐term production patterns of a given crop? This empirical/mechanistic/biogeographical hybrid model employs a limiting factor approach, where productivity is determined by the most limiting of the factors addressed in submodels that simulate water balance, winter low‐temperature response, summer high‐temperature response, and soil pH, salinity, and drainage. Yield maps are developed through linear regressions relating soil and climate attributes to reported yield data. The model was parameterized and validated using grain yield data for winter wheat and maize, which served as benchmarks for parameterizing the model for upland and lowland switchgrass, CRP grasses, Miscanthus, biomass sorghum, energycane, willow, and poplar. The resulting maps served as potential production inputs to analyses comparing the viability of biomass crops under various economic scenarios. The modeling and parameterization framework can be expanded to include other biomass crops. 相似文献
16.
Hao Zhang Gen-Xuan Wang Zhu-Xia Shen Xing-Zheng Zhao Mu-Qing Qiu 《Acta Physiologiae Plantarum》2006,28(4):373-379
The allometric relationships for plant daily biomass production rates, different measures of body size (dry weight and length)
and photosynthetic biomass per plant are reported for two mutants of Arabidopsis thaliana (abi1-1, insensitive to ABA; era1-2, hypersensitive to ABA). Scaling relationships, such as daily rate of growth (G) vs body mass (M), plant body length or plant height (L) vs body mass (M), photosynthetic biomass (M
p
) vs non-photosynthetic biomass (M
n
), and daily rate of growth (G) vs. photosynthetic biomass (M
p
) were significantly different in abi1-1 and era1-2. It is implied that the sensitivity to abscisic acid may change the scaling relationships for plant biomass production rate
and body size in Arabidopsis thaliana. Because these scaling relationships are closely related to sensitivity to abscisic acid, they are of importance for phytohormonal
ecology. 相似文献
17.
In an incubation experiment the development dynamics of bacterial and fungal communities as well as the level of phytotoxicity were analysed in sand and three soils differing in mechanical structure and amended with corn residues and mineral nitrogen. Bacterial biomass was positively correlated with the degree of dispersion of the solid phase of the soil, whereas the ratio of fungal to bacterial biomass (F:B) was found to be negatively correlated. Fungi were much more tolerant to carbon or nitrogen deficit than bacteria. Introduction of the plant material alone, characterized by a broad carbon to nitrogen ratio, led to the domination of fungi in microbial communities. The level of soil phytotoxicity built up with increasing level of crop residues. Phytotoxicity was observed for the longest time period in soil with the highest silt and clay content. The narrowing of the C:N ratio at introduction of the appropriate amount of mineral nitrogen (larger in heavier soils) resulted in accelerated disappearance of phytotoxicity and at the same time favoured bacterial development. This points to a significant participation of bacteria in the degradation of phytotoxic substances in the soil. 相似文献
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Michael J. Gehron 《Journal of microbiological methods》1983,1(1):23-32
Measurement of very low levels of microbial biomass was achieved by determining the glycerol content of the phospholipids from environmental samples. Successive application of acid methanolysis and hydrofluoric acid hydrolysis was used to release glycerol from the phospholipids. The glycerol, once released, was acetylated and analyzed by capillary gas-luquid chromatography (GLC). The analysis was sensitive to 10?11 moles by GLC waith flame ionization detection and GLC/mass spectrometry with selective ion monitoring. Estimation of the microbial biomass by the lipid phosphate correlated with the glycerol phosphate measured by the hydrolytic procedures. In addition, indication of the community composition was gained by analysis of the acid labile glycerol. Application of this methodology to the sparse of the ground water sediments showed agreement with other estimates of microbial biomass. 相似文献
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Dong-Liang Cheng Gen-Xuan Wang Tao Li Qing-Long Tang Chun-Mei Gong 《植物学报(英文版)》2007,49(11):1573-1579
Forest biomass plays a key role in the global carbon cycle. In the present study, a general allometric model was derived to predict the relationships among the stem biomass Ms, aboveground biomass MA and total biomass MT, based on previously developed scaling relationships for leaf, stem and root standing biomass. The model predicted complex scaling exponents for MT and/or MA with respect to Ms. Because annual biomass accumulation in the stem, root and branch far exceeded the annual increase in standing leaf biomass, we can predict that MT ∝MA ∝ Ms as a simple result of the model. Although slight variations existed in different phyletic affiliations (i.e. conifers versus angiosperms), empirical results using Model Type Ⅱ (reduced major axis) regression supported the model's predictions. The predictive formulas among stem, aboveground and total biomass were obtained using Model Type I (ordinary least squares) regression to estimate forest biomass. Given the low mean percentage prediction errors for aboveground (and total biomass) based on the stem biomass, the results provided a reasonable method to estimate the biomass of forests at the individual level, which was insensitive to the variation in local environmental conditions (e.g. precipitation, temperature, etc.). 相似文献