模拟酸雨对鼎湖山季风常绿阔叶林土壤呼吸的初期影响

通过在鼎湖山季风常绿阔叶林(季风林)进行野外模拟酸雨试验,对不同酸雨强度处理下的林地土壤呼吸速率进行原位测定,探讨酸雨对南亚热带森林土壤呼吸的初期影响。结果表明:在两年的测定周期内,4个酸雨水平:CK(pH值4.5左右的天然湖水)、T1(pH值4.0)、T2(pH值3.5)和T3(pH值3.0)处理下的年平均土壤呼吸速率分别为(3.07±0.08)、(3.06±0.17)、(2.78±0.29)和(2.56±0.08)μmol·m~(-2)·s~(-1),其中T3处理显著低于CK和T1处理(P0.05),说明模拟酸雨抑制了季风林土壤呼吸。这种抑制作用大体上随处理时间的延长而逐渐显著,处理间的差异只在测定周期的第二年达到显著水平,且抑制作用的差异显著性只出现在湿季(P0.05)。模拟酸雨对土壤呼吸的抑制作用可能与其胁迫下土壤酸化而导致土壤微生物异养呼吸及凋落物CO_2释放量下降有关。表现为模拟酸雨导致土壤pH值降低,使得土壤酸化加剧;降低了土壤微生物量碳、氮含量,抑制了微生物活性;提高了凋落物质量残留率,抑制了凋落物分解。还与土壤呼吸结果相对应,上述指标对模拟酸雨的响应也大体上随处理时间的延长而逐渐显著。另外,土壤呼吸温度敏感系数Q_(10)值随处理pH值降低有下降的趋势,表明酸雨处理在一定程度上降低了土壤呼吸的温度敏感性。     

模拟酸雨对南亚热带典型森林土壤N2O排放的影响

基于长期模拟酸雨森林样地,利用箱式法同步测定了不同酸雨强度处理下森林土壤N2O排放通量,研究了模拟酸雨对我国南亚热带针阔叶混交林和季风常绿阔叶林两种代表性森林土壤N2O排放的影响.结果 表明:连续5年(2014-2018年)观测周期内,两种林型土壤N2O排放通量在各模拟酸雨处理下均表现出明显的季节变化特征,湿季排放通量...     

南亚热带两种优势树种叶凋落物分解对模拟酸雨的响应

通过对模拟酸雨处理下鼎湖山季风常绿阔叶林优势树种锥栗(Castanopsis chinensis)和木荷(Schima superba)叶凋落物分解的研究,试图探讨南亚热带区域日益严重的酸雨对森林凋落物分解的影响规律以及可能的机制。试验应用分解袋法进行,并设计4个模拟酸雨强度处理:CK(p H值4.5左右的天然湖水)、T1(p H值4.0)、T2(p H值3.5)和T3(p H值3.0)。21个月的分解结果表明,模拟酸雨抑制了两种优势树种叶凋落物的分解。CK、T1、T2和T3 4个处理下的分解速率常数k值分别为:锥栗(1.18、0.93、0.94和0.86)和木荷(1.10、0.97、0.88和0.94),与CK相比,k值在T1、T2和T3均有下降的趋势。同时,模拟酸雨下两种优势树种叶凋落物的质量残留率均为:T3T2T1CK。酸雨对凋落物分解的抑制作用可能与酸雨胁迫下土壤酸化从而导致土壤微生物活性下降有关。     

南亚热带不同演替阶段森林土壤呼吸对模拟酸雨的响应

以鼎湖山不同演替阶段的3种森林类型(马尾松针叶林、针阔叶混交林和季风常绿阔叶林)为研究对象,2009年6月开始,在森林里喷施不同处理水平的模拟酸雨(对照(p H 4.5的天然湖水)、T1(p H 4.0)、T2(p H 3.5)和T3(p H 3.0)),2012年4月—2013年3月对模拟酸雨下土壤呼吸速率及其相关影响因子进行观测,试图揭示南亚热带不同演替阶段森林土壤呼吸对酸雨的响应规律及机制。结果表明:模拟酸雨抑制了森林土壤呼吸,但抑制作用随森林演替阶段、观测季节和处理水平的不同而不同;模拟酸雨没有显著影响松林的土壤呼吸,但却显著地抑制了阔叶林土壤呼吸(P0.05),同时在一定程度上抑制了混交林土壤呼吸(P=0.10);与对照相比,阔叶林T1、T2和T3处理的年平均土壤呼吸速率分别下降了0.1%、10.5%和17.1%,混交林为-1.7%、8.1%和13.9%,而松林则为1.1%、1.9%和8.1%;3个林型土壤呼吸对模拟酸雨的响应敏感性随森林的顺行演替而增强。但模拟酸雨对土壤呼吸的抑制作用具有季节差异性,抑制作用只在湿季达到显著差异,且只有强酸处理T3显著抑制了土壤呼吸。模拟酸雨对土壤呼吸的抑制作用与其胁迫下土壤酸化而导致土壤微生物活性下降有关,这种下降程度也大体上随森林的顺行演替而增强。     

间伐和改变凋落物输入对华北落叶松人工林土壤呼吸的影响

作为森林生态系统的第二大碳通量,土壤呼吸在全球碳循环和气候变化中发挥着重要作用。通过探究土壤呼吸对间伐和改变凋落物的响应规律以及响应之间的联系,能够为准确评价森林碳循环提供依据。针对不同强度(对照、轻度、中度、重度)间伐后的华北落叶松人工林,2016年5月至10月采用LI-8100土壤碳通量测量系统对其原状、凋落物去除、凋落物加倍的土壤呼吸进行观测。结果表明:土壤呼吸在生长季的8月份达到最高值,呈现出明显的季节动态。不同林分间伐处理下,中度间伐显著促进了土壤呼吸,使平均土壤呼吸速率升高了15.66%,轻度间伐和重度间伐对土壤呼吸的影响不显著;不同凋落物处理下,去除凋落物使平均土壤呼吸速率降低了40.16%,加倍凋落物使平均土壤呼吸速率升高了16.06%。中度间伐使土壤呼吸生长季通量增加了55.06 g C/m~2;去除凋落物使土壤呼吸生长季通量减少了153.48 g C/m~2,加倍凋落物使土壤呼吸生长季通量增加了79.87 g C/m~2。土壤呼吸速率与土壤温度呈显著指数相关,而与土壤湿度无显著相关。不同林分间伐处理下,土壤呼吸的温度敏感性指数(Q10)为2.36—3.46,轻度间伐下Q10值最高;凋落物去除和加倍均降低了土壤呼吸的温度敏感性。土壤温湿度对土壤呼吸存在着显著影响,能够解释土壤呼吸28.7%—62.3%的季节变化。研究结果表明间伐和凋落物处理对华北落叶松人工林土壤CO_2释放的影响表现出一定的交互作用,中度间伐和加倍凋落物的交互作用对土壤呼吸的促进作用显著大于单一因子。可见,间伐作业通过改变土壤微环境和凋落物量,对土壤呼吸以及森林生态系统碳循环产生着重要影响。     

长白山四种林分土壤CO2释放通量的研究

对长白山地区 4种典型林分下土壤释放CO2 通量的研究表明 ,在较短的时间尺度上 ,4种林型在CO2 释放通量上有显著的差别 ,各林型CO2 通量的释放表现出明显的空间异质性 ,其释放顺序为 :山杨白桦混交林 >原始阔叶红松林 >白桦林 >山杨林 ,其中山杨白桦混交林对CO2 释放的贡献最大 ,而山杨林最小。 4种林分土壤CO2 通量的全日变化过程并不一致 ,除山杨白桦混交林和气温有较一致性的规律 ,呈较明显的单峰型外 ,其余并无明显的变化规律。凋落物对林地CO2 释放通量的变化有显著的影响 ,有凋落物覆盖的林地土壤CO2 释放量明显大于无凋落物覆盖的林地 ,其平均通量为 2 6 2 86～ 5 5 6 5 5mgC·m-2 ·h-1,而无凋落物覆盖林地土壤CO2 的平均通量为 2 0 5 85～ 395 6 9mg·m-2 ·h-1。凋落物排放CO2 量占林地总排放量的14 %～ 30 % ,并且改变了林地CO2 释放通量大小的排序。     

模拟氮沉降凋落物管理对樟树人工林土壤呼吸的影响

以湖南省植物园樟树人工林为对象,研究了模拟氮沉降下,不同凋落物处理对土壤呼吸的影响。设置4个施氮水平,分别为CK(0 kg N hm~(-2)a~(-1))、LN(50 kg N hm~(-2)a~(-1))、NM(150 kg N hm~(-2)a~(-1))以及HN(300 kg N hm~(-2)a~(-1));凋落物处理分别为去除凋落物、添加凋落物以及凋落物对照组。经过为期2年的观测研究,结果表明:(1)模拟氮沉降不同凋落物处理下,土壤温度呈现显著的季节性变化,但不存在显著差异;土壤湿度呈现显著的波动性变化,施氮及凋落物管理对土壤温度无影响。土壤湿度仅受凋落物管理的影响。在不同施氮水平下,去除凋落物的土壤湿度与加倍凋落物的土壤湿度均存在显著差异性。(2)模拟氮沉降不同凋落物处理下,土壤呼吸均呈现显著的季节性变化,最大值出现在6—8月;最小值出现在1月,且在生长季期间(4—8月),不同处理下土壤呼吸存在显著差异。(3)施氮对土壤呼吸表现为抑制作用,添加凋落物对土壤呼吸起促进作用,去除凋落物对土壤呼吸起抑制作用。(4)在凋落物对照组中,LN、MN、HN较CK相比,土壤呼吸速率年均值分别降低了35.4%、30.6%、36.8%,且各施氮水平与CK存在显著差异(P0.05);添加凋落物处理下,LN、MN、HN处理较CK相比,土壤呼吸速率年均值土壤呼吸分别降低了23.2%、15.8%、14.7%。去除凋落物处理下,LN、MN、HN较CK相比,土壤呼吸速率年均值分别降低了3.5%、0.5%、-11.6%。且添加或去除凋落物均能削弱施氮对土壤呼吸的抑制作用,且这种作用随着施氮水平的增加而增大。(5)土壤呼吸与5 cm处土壤温度存在显著相关性(P0.05),土壤温度可解释土壤呼吸变异的47.76%—72.61%;与土壤湿度呈现正相关,但未达到显著相关水平(P0.05)。     

去除和添加凋落物对木荷林土壤呼吸的短期影响

凋落物作为土壤呼吸的重要碳源,其输入的数量和质量将对土壤呼吸产生重要影响。自2011年2月—2012年5月,在浙江天童森林生态系统设置对照、去除和加倍凋落物处理,研究不同凋落物处理对木荷(Schima superba)林土壤呼吸速率、土壤温度和土壤含水量的影响。结果表明:去除和加倍凋落物对土壤温度的影响不显著,对土壤含水量的影响显著,相比对照的土壤呼吸速率2.52±0.29μmol·m-2·s-1,去除凋落物使土壤呼吸速率显著降低了25.32%;而加倍凋落物处理与对照之间的土壤呼吸速率无显著差异。不同凋落物处理下土壤呼吸均表现出明显的季节变化,凋落物处理在湿季对土壤呼吸速率的影响接近显著(P=0.065),在干季不显著,并且湿季的土壤呼吸速率显著高于干季。不同凋落物处理的土壤呼吸速率与土壤温度均呈显著相关,土壤温度解释了土壤呼吸速率变异程度的80.1%~90.3%,Q10值分别为2.42、2.48和2.24;而土壤呼吸速率与土壤含水量之间的相关性不显著。研究结果表明,短期凋落物处理对土壤呼吸产生了影响,并且这种影响因季节差异而不同,证明了凋落物对于改变森林生态系统土壤呼吸和碳循环具有重要作用。     

抚育对林地土壤碳释放的影响——基于Yasso07估算

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CO_2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CO_2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CO_2释放的主导因子,间伐后林地土壤CO_2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CO_2释放量最小,为15.318 Mg hm~(-2)a~(-1)。     

南亚热带森林土壤有机碳组分对模拟酸雨的早期响应

应用人工模拟酸雨控制实验,探讨鼎湖山国家级自然保护区三种南亚热带主要植被类型(季风常绿阔叶林、针阔叶混交林和马尾松林)的土壤有机碳组分,包括土壤总有机碳(TOC)、土壤易氧化有机碳(ROC)、土壤不易氧化有机碳(NROC),在不同模拟酸雨处理梯度:对照CK(pH4.5的天然湖水)、pH4.0、pH3.5、pH3.0处理下的响应特征。结果表明:上层土壤(0~20cm)易氧化有机碳、不易氧化有机碳和总有机碳含量与森林类型密切相关,大小顺序均表现为混交林阔叶林马尾松林。经25个月模拟酸雨处理,鼎湖山森林土壤酸化有加剧的趋势;CK、pH4.0、pH3.5、pH3.0四个处理下土壤上层剖面易氧化有机碳含量分别为阔叶林(7.14、8.29、8.74、9.84g·kg-1)、混交林(8.58、8.53、10.28、10.36g·kg-1)和马尾松林(3.90、4.49、4.74、5.48g·kg-1),三个林型土壤易氧化有机碳含量呈现随模拟酸雨强度增加而升高的趋势;森林土壤总有机碳和不易氧化有机碳含量变化缓慢,在各酸梯度处理下差异不显著(P0.05)。研究结果显示,长期的酸雨作用使土壤酸化不断加剧,易氧化有机碳对酸雨的响应更敏感,但其在酸雨下积累的趋势不利于土壤总有机碳的存埋,但关于酸雨对土壤总有机碳的影响仍然需要长期的实验监测。     

Soil CO<Subscript><Emphasis Type="Bold">2</Emphasis></Subscript> efflux and fungal and bacterial biomass in a plantation and a secondary forest in wet tropics in Puerto Rico

We examined the effects of root and litter exclusion on the rate of soil CO₂ efflux and microbial biomass using trenching and tent separation techniques in a secondary forest (SF) and a pine (Pinus caribaea Morelet) plantation in the Luquillo Experimental Forest in Puerto Rico. Soil surface CO₂ efflux was measured using the alkali trap method at 12 randomly-distributed locations in each treatment (control, root exclusion, litter exclusion, and both root and litter exclusion) in the plantation and the SF, respectively. We measured soil CO₂ efflux every two months and collected soil samples at each sampling location in different seasons to determine microbial biomass from August 1996 to July 1997. We found that soil CO₂ efflux was significantly reduced in the litter and root exclusion plots (7-year litter and/or root exclusion) in both the secondary forest and the pine plantation compared with the control. The reduction of soil CO₂ efflux was 35.6% greater in the root exclusion plots than in the litter exclusion plots in the plantation, whereas a reversed pattern was found in the secondary forest. Microbial biomass was also reduced during the litter and root exclusion period. In the root exclusion plots, total fungal biomass averaged 31.4% and 65.2% lower than the control plots in the plantation and the secondary forest, respectively, while the total bacterial biomass was 24% and 8.3% lower than the control plots in the plantation and the secondary forest, respectively. In the litter exclusion treatment, total fungal biomass averaged 69.2% and 69.7% lower than the control plots in the plantation and the secondary forest, respectively, while the total bacterial biomass was 48% and 50.1% lower than the control plots in the plantation and the secondary forest, respectively. Soil CO₂ efflux was positively correlated with both fungal and bacterial biomass in both the plantation the secondary forest. The correlation between soil CO₂ efflux and active fungal biomass was significantly higher in the plantation than in the secondary forest. However, the correlation between the soil CO₂ efflux and both the active and total bacterial biomass was significantly higher in the secondary forest than in the plantation in the day season. In addition, we found soil CO₂ efflux was highly related to the strong interactions among root, fungal and bacterial biomass by multiple regression analysis (R² > 0.61, P < 0.05). Our results suggest that carbon input from aboveground litterfall and roots (root litter and exudates) is critical to the soil microbial community and ecosystem carbon cycling in the wet tropical forests.     

降雨量改变对常绿阔叶林干旱和湿润季节土壤呼吸的影响

通过野外原位试验,研究降雨量改变对华西雨屏区常绿阔叶林干旱和湿润季节土壤呼吸速率的影响。采用LI-8100土壤碳通量分析系统(LI-COR Inc.,USA)测定干旱和湿润季节对照(CK)、增雨10%(LA)、增雨5%(TA)、减雨10%(LR)、减雨20%(MR)、减雨50%(HR)6个处理水平的土壤呼吸速率,并通过回归方程分析温度和湿度与土壤呼吸速率间的关系。结果表明:湿润季节土壤呼吸速率高于干旱季节,HR处理对干旱季节土壤呼吸速率影响较大,而LA处理对湿润季节土壤呼吸速率的影响较大。TA和LR处理使土壤呼吸的温度敏感性增加,而HR、LA和MR处理使土壤呼吸的温度敏感性降低,干旱季节Q10值高于湿润季节。各处理湿润季节土壤微生物量碳氮含量显著高于干旱季节,HR、MR和LA处理减少土壤微生物生物量碳、氮的含量,而TA和LR处理增加土壤微生物生物量碳、氮的含量。与湿润季节相比,干旱季节土壤水分对土壤呼吸速率的影响较大;而与土壤温度相比,土壤水分对土壤呼吸速率的影响较小。在降雨量改变的背景下,华西雨屏区常绿阔叶林无论是干旱还是湿润季节,适当增雨和减雨都会促进土壤呼吸速率,而较高量的增雨和减雨会抑制土壤呼吸速率。     

Soil and litter respiration in rainforests of contrasting nutrient status and physiognomic structure near Lake Eacham,north-east Queensland

Soil and litter respiration and nutrient concentrations (N, P, Ca, Mg and K) were measured in two adjacent rainforests near Lake Eacham on the Atherton Tableland in north-east Queensland. One forest had soil formed on basalt and, in physiognomic-structural classification of Webb (1968, 1978), was structurally complex. The other had soil formed on metamorphic rock and was structurally simple. Respiration was measured by the alkali trap method on 16 monthly occasions in 1986 and 1987. Soil and litter nutrient concentrations were higher in the complex forest (with the exception of soil N). The relative differences were greater for soil than litter and more pronounced for P and Ca (and also soil Mg) than other nutrients. Litter polyphenol concentrations were lower in the complex forest. Rates of litter respiration in the complex forest were, on average, nearly twice those of the simple forest. Soil respiration rates were occasionally slightly lower in the complex forest during the wet season but did not differ between the forests during the dry season. Highest rates of respiration were measured during the wet season although high rates for litter occasionally occurred during the dry season. Cumulative CO₂ release from the soil and overlying litter did not differ between forests and averaged 5134 ± 96 g CO₂ m^-2 per year (mean ± s.e.m.) (1400 g C m^-2 per year). Litter respiration accounted for 14% of the annual release in the complex forest and 11% in the simple forest. The association between site nutrient status and forest physiognomic structure at Lake Eacham represents a more general pattern in rainforests of north-east Queensland. Further study is needed to ascertain whether the results from this study apply more generally in both primary and secondary rainforests.     

Radon fluxes in tropical forest ecosystems of Brazilian Amazonia: night-time CO2 net ecosystem exchange derived from radon and eddy covariance methods

Radon‐222 (Rn‐222) is used as a transport tracer of forest canopy–atmosphere CO₂ exchange in an old‐growth, tropical rain forest site near km 67 of the Tapajós National Forest, Pará, Brazil. Initial results, from month‐long periods at the end of the wet season (June–July) and the end of the dry season (November–December) in 2001, demonstrate the potential of new Rn measurement instruments and methods to quantify mass transport processes between forest canopies and the atmosphere. Gas exchange rates yield mean canopy air residence times ranging from minutes during turbulent daytime hours to greater than 12 h during calm nights. Rn is an effective tracer for net ecosystem exchange of CO₂ (CO₂ NEE) during calm, night‐time hours when eddy covariance‐based NEE measurements are less certain because of low atmospheric turbulence. Rn‐derived night‐time CO₂ NEE (9.00±0.99 μmol m^?2 s^?1 in the wet season, 6.39±0.59 in the dry season) was significantly higher than raw uncorrected, eddy covariance‐derived CO₂ NEE (5.96±0.51 wet season, 5.57±0.53 dry season), but agrees with corrected eddy covariance results (8.65±1.07 wet season, 6.56±0.73 dry season) derived by filtering out lower NEE values obtained during calm periods using independent meteorological criteria. The Rn CO₂ results suggest that uncorrected eddy covariance values underestimate night‐time CO₂ loss at this site. If generalizable to other sites, these observations indicate that previous reports of strong net CO₂ uptake in Amazonian terra firme forest may be overestimated.     

Effects of soil water content on soil respiration in forests and cattle pastures of eastern Amazonia

The effect of soil water content on efflux of CO₂ from soils has been described by linear, logarithmic, quadratic, and parabolic functions of soil water expressed as matric potential, gravimetric and volumetric water content, water holding capacity, water-filled pore space, precipitation indices, and depth to water table. The effects of temperature and water content are often statistically confounded. The objectives of this study are: (1) to analyze seasonal variation in soil water content and soil respiration in the eastern Amazon Basin where seasonal temperature variation is minor; and (2) to examine differences in soil CO₂ emissions among primary forests, secondary forests, active cattle pastures, and degraded cattle pastures. Rates of soil respiration decreased from wet to dry seasons in all land uses. Grasses in the active cattle pasture were productive in the wet season and senescent in the dry season, resulting in the largest seasonal amplitude of CO₂ emissions, whereas deep-rooted forests maintained substantial soil respiration during the dry season. Annual emissions were 2.0, 1.8, 1.5, and 1.0 kg C m^-2 yr^-1 for primary forest, secondary forest, active pasture, and degraded pasture, respectively. Emissions of CO₂ were correlated with the logarithm of matric potential and with the cube of volumetric water content, which are mechanistically appropriate functions for relating soil respiration at below-optimal water contents. The parameterization of these empirical functions was not consistent with those for a temperate forest. Relating rates of soil respiration to water and temperature measurements made at some arbitrarily chosen depth of the surface horizons is simplistic. Further progress in defining temperature and moisture functions may require measurements of temperature, water content and CO₂ production for each soil horizon.     

Nitrogen addition reduces soil respiration in a mature tropical forest in southern China

Response of soil respiration (CO₂ emission) to simulated nitrogen (N) deposition in a mature tropical forest in southern China was studied from October 2005 to September 2006. The objective was to test the hypothesis that N addition would reduce soil respiration in N saturated tropical forests. Static chamber and gas chromatography techniques were used to quantify the soil respiration, following four‐levels of N treatments (Control, no N addition; Low‐N, 5 g N m^?2 yr^?1; Medium‐N, 10 g N m^?2 yr^?1; and High‐N, 15 g N m^?2 yr^?1 experimental inputs), which had been applied for 26 months before and continued throughout the respiration measurement period. Results showed that soil respiration exhibited a strong seasonal pattern, with the highest rates found in the warm and wet growing season (April–September) and the lowest rates in the dry dormant season (December–February). Soil respiration rates showed a significant positive exponential relationship with soil temperature, whereas soil moisture only affect soil respiration at dry conditions in the dormant season. Annual accumulative soil respiration was 601±30 g CO₂‐C m^?2 yr^?1 in the Controls. Annual mean soil respiration rate in the Control, Low‐N and Medium‐N treatments (69±3, 72±3 and 63±1 mg CO₂‐C m^?2 h^?1, respectively) did not differ significantly, whereas it was 14% lower in the High‐N treatment (58±3 mg CO₂‐C m^?2 h^?1) compared with the Control treatment, also the temperature sensitivity of respiration, Q₁₀ was reduced from 2.6 in the Control with 2.2 in the High‐N treatment. The decrease in soil respiration occurred in the warm and wet growing season and were correlated with a decrease in soil microbial activities and in fine root biomass in the N‐treated plots. Our results suggest that response of soil respiration to atmospheric N deposition in tropical forests is a decline, but it may vary depending on the rate of N deposition.     

改变凋落物输入对川西亚高山天然次生林土壤呼吸的影响

2019年5月-10月,采用LI-8100A土壤碳通量自动测量分析仪对川西米亚罗林区20世纪60年代采伐后经自然更新恢复形成的岷江冷杉（Abies faxoniana）次生针叶林（针叶林）、红桦（Betula albo-sinensis）+青榨槭（Acer davidii）+岷江冷杉次生针阔混交林（针阔混交林）和青榨槭+红桦+陕甘花楸（Sorbus koehneana Schneid）次生阔叶林（阔叶林）的土壤呼吸及土壤温湿度因子（对照、去除凋落物和加倍凋落物）进行观测。结果显示：去除和加倍凋落物对土壤温湿度的影响不显著,且3种林型之间的土壤呼吸速率差异不显著。与对照相比,去除凋落物使针叶林、针阔混交林、阔叶林的土壤呼吸速率分别降低了17.65%、21.01%和19.83%（P<0.05）;加倍凋落物则分别增加6.76%、7.28%、8.16%（P>0.05）。3种林分土壤呼吸速率均与土壤温度极显著指数相关,与土壤湿度不相关。对照Q₁₀值变幅为2.01-3.29,去除凋落物降低了3种林型的Q₁₀值;加倍凋落物分别提高了针叶林和降低了针阔混交林和阔叶林的Q₁₀值。土壤呼吸速率仅表现在天然次生林对照处理中受到土壤pH、有机质、可溶性有机氮和草本Pielou均匀度指数的显著影响。研究结果表明,天然次生阔叶林和针阔混交林凋落物对土壤呼吸的贡献及Q₁₀值高于天然次生针叶林,说明在未来CO₂浓度及温度升高背景下,地表凋落物增加并未引起天然次生林土壤呼吸速率成倍增加,更有利于该区域天然次生林尤其是针叶林的土壤碳吸存。     

暖温带麻栎林凋落物调节土壤碳排放通量对降雨脉冲的响应

凋落物既是森林生态系统养分循环的重要构件,又是森林土壤环境和功能的关键调节因子。降雨脉冲导致的土壤碳排放变异是陆地生态系统碳汇能力评价的不确定性来源之一。凋落物在调节土壤碳排放对降雨脉冲的响应中的作用仍缺乏科学的评价。通过在暖温带栎类落叶阔叶林中设置不同凋落物处理(对照、去除凋落物和加倍凋落物)和降雨模拟实验以阐明凋落物数量变化对土壤呼吸脉冲的影响。结果表明：模拟降雨脉冲之前,不同凋落物处理下的土壤呼吸存在显著差异;与对照相比,加倍凋落物导致土壤呼吸速率显著增加57.6%,然而,去除凋落物则对土壤呼吸无显著影响。模拟降雨后52小时内,对照、去除凋落物和加倍凋落物样方的土壤累积碳排放量分别为251.69 gC/m~2,250.93 gC/m~2和409.01 gC/m~2,加倍凋落物处理下的土壤碳排放量显著高于对照和去除凋落物处理;然而,去除凋落物与对照之间无显著差异。此外,不同凋落物处理下土壤呼吸的脉冲持续时间存在显著差异;加倍凋落物显著提高降雨后土壤呼吸脉冲的持续时间,分别比对照和去除凋落物高出262%和158%。多元逐步回归分析表明,土壤总碳排放通量和土壤呼吸的脉冲持续时间与土壤理...