Spatial characteristics in decomposition rate of foliar litter and controlling factors in Chinese forest ecosystems

凋落物分解是森林生态系统碳循环的重要组成部分。建立中国森林凋落叶分解速率数据库, 分析凋落叶分解速率与其主要影响因素之间的关系, 对精确地预测中国森林生态系统碳收支具有重要意义。该研究通过收集已报道的中国森林凋落叶分解常数(k)及其相关变量, 分析探讨地理因素(纬度、经度和海拔)、气候因素(年平均气温和年降水量)、凋落叶质量(氮、磷、钾、木质素、木质素:氮和碳氮比)和叶特性(常绿与落叶、阔叶与针叶)对中国森林凋落叶分解速率的影响。结果表明, 在国家尺度上, k随年平均气温、年降水量、氮、磷和钾的增加而增加, 随纬度、经度、海拔、碳氮比、木质素和木质素:氮的增大而减小, 叶特性对k的影响不显著。气候与地理因素(年平均气温、年降水量和纬度)能解释k值变异的34.1%, 凋落叶质量(氮、钾、木质素和木质素:氮)能解释k值变异的21.7%, 它们能共同解释k值变异的74.4%。了解森林凋落叶分解速率在国家尺度上的格局和主控因素可为中国森林生态系统碳循环相关模型提供基础参数。     

退化红壤丘陵区森林凋落物初始化学组成与分解速率的关系

通过小盆+凋落袋控制试验,研究了我国南方退化红壤丘陵区8种森林凋落物和4种混合凋落物初始化学组成与分解速率的关系.结果表明:阔叶凋落物中的氮、磷、钾、镁含量显著高于针叶凋落物,木质素、碳含量显著低于针叶凋落物;凋落物分解速率与凋落物初始氮、磷、钾、镁含量呈显著正相关,与凋落物初始碳、木质素含量以及木质素/氮、木质素/磷和碳/磷值呈显著负相关;木质素含量解释了凋落物分解速率变异的54.3%,是影响分解速率的最关键因子,凋落物碳、氮、磷含量也与分解速率密切相关,它们与木质素含量一起可解释分解速率变异的81.4%.在退化红壤丘陵区植被恢复过程中,低木质素含量、高氮磷含量的阔叶物种的引入有利于加速凋落物的分解速率和土壤肥力的恢复进程.     

起始时间对亚热带森林凋落物分解速率的影响

运用分解袋法研究了不同布置时间的凋落物在亚热带森林分解的初期过程, 探讨了不同布置时间的凋落物经过相同时间分解的差异及环境因子对其分解速率特别是分解速率常数k的影响。结果表明: 在凋落物分解较快的鼎湖山季风常绿阔叶林, 不同时间布置的凋落物经过12个月的分解, 其残留率及k均存在较大的差异。不同布置时间的凋落物的分解率在前期(0-6个月)与其相应阶段的环境因子呈显著相关关系, 但与后期的环境因子相关性并不显著。不同布置时间的k值的变化范围为0.78-1.30, 起始于雨季的k值较大, 起始于旱季的较小(p < 0.001), 其大小与分解前期的环境因子相关性较高, 与整个分解过程中的环境因子相关性较低。因此, 凋落物的凋落时间可能影响其分解速率; 由于布置时间不同而导致k值估算的不准确将对森林生态系统的养分循环及其碳平衡的评估产生很大影响。     

亚热带不同树种凋落叶分解对氮添加的响应

为探究不同质量凋落物对氮(N)沉降的响应, 该研究采用尼龙网袋分解法, 在亚热带福建三明格氏栲(Castanopsis kawakamii)自然保护区的米槠(Castanopsis carlesii)天然林, 选取4种本区常见的具有不同初始化学性质的树种凋落叶进行模拟N沉降(N添加)分解实验(施N水平为对照0和50 kg·hm ^-2·a ^-1)。研究结果表明: 在2年的分解期内, 对照处理的各树种凋落叶的分解速率依次为观光木(Michelia odora, 0.557 a ^-1)、米槠(0.440 a ^-1)、台湾相思(Acacia confusa, 0.357 a ^-1)、杉木(Cunninghamia lanceolata, 0.354 a ^-1); N添加处理凋落叶分解速率依次为观光木(0.447 a ^-1)、米槠(0.354 a ^-1)、杉木(0.291 a ^-1)、台湾相思(0.230 a ^-1), 除杉木凋落叶外, N添加显著降低了其他3种凋落叶分解速率。N添加不仅使4种树木凋落叶分解过程中的N释放减慢, 同时还抑制凋落叶化学组成中木质素和纤维素的降解; N添加在凋落叶分解过程中总体上提高β-葡萄糖苷酶(βG)和酸性磷酸酶活性, 对纤维素水解酶的活性影响不一致, 而降低β-N-乙酰氨基葡萄糖苷酶活性和酚氧化酶活性。凋落叶分解速率与凋落叶中的碳获取酶(βG)活性以及其化学组分中的可萃取物含量极显著正相关, 与初始碳浓度、纤维素和木质素含量极显著负相关, 与初始N含量没有显著相关性。凋落物类型和N添加的交互作用虽未影响干质量损失速率, 但对木质素和纤维素的降解具有显著效应。综上所述, 化学组分比初始N含量能更好地预测凋落叶分解速率, 而N添加主要通过抑制分解木质素的氧化酶(如PHO)来降低凋落叶分解速率。     

中国森林和草地凋落物现存量的空间分布格局及其控制因素

凋落物是陆地生态系统的重要组成部分,它对生态系统的养分循环非常重要。凋落物现存量是凋落物输入量与分解量的净累积量,理论上影响凋落物输入过程和分解过程的因素都会对凋落物现存量产生重要影响。目前,我国科学家对部分区域典型陆地生态系统凋落物现存量及其影响因素进行了探讨,但迄今为止,全国尺度下的关于凋落物现存量评估的结果还未见报道。因此,如何准确地评估凋落物现存量对揭示生态系统应对全球变化具有重要意义。收集了2000—2014年公开发表文献中的森林和草地凋落物现存量数据(共1864个样点),并结合气候、土壤和地上生产力探讨了中国森林和草地凋落物现存量的空间格局及其主要控制因素,此外,还利用森林和草地凋落物的碳氮含量,结合凋落物现存量估算了不同区域和全国尺度的凋落物的碳氮贮量。分析结果表明:中国森林和草地的凋落物现存量存在较弱的经度和纬度格局,然而按照不同经度和纬度间隔整理数据后凋落物现存量表现出显著的空间分布格局。森林的凋落物现存量表现为随着经度和纬度的增加而逐渐增加,主要控制因素为温度。草地的凋落物现存量表现为随着经度的增加而逐渐升高,其主要影响因素为降水。森林和草地凋落物现存量在局部(或区域内)存在非常大的变异,这是造成其大尺度格局较弱的重要原因。结合1∶100万中国植被图的森林和草地面积数据,估算出中国森林的凋落物现存量约为1135.56 Tg,其碳氮贮量约为517.93 Tg C和15.33 Tg N;此外,中国草地的凋落物现存量约为119.63 Tg,其碳氮贮量分别为47.11 Tg C和1.59 Tg N。首次尝试对全国尺度森林和草地凋落物现存量及其碳氮贮量进行估算,其研究结论有助于揭示凋落物在碳氮循环中的重要作用,并可为准确评估中国陆地生态系统碳氮贮量提供重要参考。     

内蒙古东部天然白桦林的凋落物性质和储量及其随温度和降水梯度的变化格局

作为碳素和养分循环的重要组分, 地表凋落物如何响应全球气候变化日益受到重视。中国北方半干旱地区森林草原过渡带斑块状分布的森林对气候变化引起的水热变化的响应较为敏感, 但是对这些森林地表处于不同分解阶段的凋落物的化学性质和储量的格局及其如何响应温度、降水变化的报道较少。该研究分析了内蒙古东部地区处于年平均气温和年降水量梯度上的12个天然白桦(Betula platyphylla)林不同凋落物层次(最上层的初步分解层L1, 中间的半分解层L2, 最下层的腐殖质层L3)的化学性质及现存量后发现: 1)随着分解的进行(即从L1到L3层), 氮、磷浓度显著增加, 可提取物浓度基本不变, 酸溶性组分(acid soluble fraction, AS)浓度下降, 酸不溶性组分(acid insoluble fraction, AIF)浓度增加。2)各元素现存量均在L3层最高, 表明凋落物分解缓慢, 养分积累。3)年平均气温和年降水量对凋落物有机组分(AS组分和AIF组分)的性质无显著影响, 但L3层元素储量随年平均气温升高而增加, 可能由于年平均气温较高的地点森林生产力更高, 从而导致叶凋落物量增加, 但由于受水分限制(尤其是在夏天), 这些地点的凋落物分解速率不变或更低, 使凋落物积累更为明显。上述结果表明: 腐殖质层是这些白桦林的一个重要的碳及养分库, 未来在降水没有明显变化的情况下, 这一区域的升温可能会增加白桦林地表凋落物储量。     

季节性雪被对天山雪岭云杉凋落叶分解和碳氮磷释放的影响

季节性雪被下显著的冻融格局差异可能对干旱区山地森林凋落叶分解过程产生重要影响, 但一直未见深入研究。2015年10月至2016年10月, 采用凋落物分解袋法, 研究了天山典型树种雪岭云杉(Picea schrenkiana)凋落叶在季节性雪被覆盖下的3个关键时期(冻融期、深冻期、融冻期)以及生长季(生长季早期和生长季末期)的分解动态和碳、氮、磷释放特征。结果表明: (1)经过一年的分解, 不同雪被厚度下雪岭云杉凋落叶分解率为24.6%-29.2%, 且存在显著性差异。分解系数k值厚雪被覆盖最大, 无雪被覆盖最小。(2)冬季雪被覆盖期雪岭云杉凋落叶分解对当年分解总量的贡献达46.0%- 48.5%, 其中对冻融期凋落叶分解影响较为明显。(3)随着凋落叶的分解, 雪岭云杉凋落叶氮含量总体呈增加趋势; 碳含量和碳氮比大致呈下降趋势, 在深冻期和生长季末期不同雪被处理下碳含量呈显著性差异; 而凋落叶磷含量呈不规则变化趋势, 且在冻融期和融冻期不同雪被厚度下呈显著性差异。(4)整个雪被覆盖季节凋落叶氮元素表现为富集, 碳和磷元素表现为释放; 其中, 在融冻期薄雪被和中雪被处理下碳元素富集率最大, 在冻融期薄雪被、中雪被和厚雪被处理下, 融冻期无雪被和厚雪被下以及生长季早期中雪被和厚雪被下氮元素富集率最大, 而雪被对凋落叶磷释放的影响不显著。     

Effects of seasonal snow cover on decomposition and carbon,nitrogen and phosphorus release of Picea schrenkiana leaf litter in Mt. Tianshan,Northwest China

季节性雪被下显著的冻融格局差异可能对干旱区山地森林凋落叶分解过程产生重要影响, 但一直未见深入研究。2015年10月至2016年10月, 采用凋落物分解袋法, 研究了天山典型树种雪岭云杉(Picea schrenkiana)凋落叶在季节性雪被覆盖下的3个关键时期(冻融期、深冻期、融冻期)以及生长季(生长季早期和生长季末期)的分解动态和碳、氮、磷释放特征。结果表明: (1)经过一年的分解, 不同雪被厚度下雪岭云杉凋落叶分解率为24.6%-29.2%, 且存在显著性差异。分解系数k值厚雪被覆盖最大, 无雪被覆盖最小。(2)冬季雪被覆盖期雪岭云杉凋落叶分解对当年分解总量的贡献达46.0%- 48.5%, 其中对冻融期凋落叶分解影响较为明显。(3)随着凋落叶的分解, 雪岭云杉凋落叶氮含量总体呈增加趋势; 碳含量和碳氮比大致呈下降趋势, 在深冻期和生长季末期不同雪被处理下碳含量呈显著性差异; 而凋落叶磷含量呈不规则变化趋势, 且在冻融期和融冻期不同雪被厚度下呈显著性差异。(4)整个雪被覆盖季节凋落叶氮元素表现为富集, 碳和磷元素表现为释放; 其中, 在融冻期薄雪被和中雪被处理下碳元素富集率最大, 在冻融期薄雪被、中雪被和厚雪被处理下, 融冻期无雪被和厚雪被下以及生长季早期中雪被和厚雪被下氮元素富集率最大, 而雪被对凋落叶磷释放的影响不显著。     

我国中东部不同气候带成熟林凋落物生产和分解及其与环境因子的关系

在大尺度气候梯度上研究森林凋落物生产分解与气候因子的关系,对于了解森林生态系统碳循环有着重要的作用.在寒温带的黑龙江呼中、温带的吉林长白山、暖温带的北京东灵山、北亚热带的湖北神农架、中亚热带的四川都江堰和浙江古田山,选择典型地带性成熟林,设置72个样地.观测和研究各地点森林凋落物的产量、凋落动态和分解速率,分析三者与环境因子之间的关系,结果表明:不同气候带森林生态系统凋落物年产量为亚热带森林＞暖温带森林＞温带森林＞寒温带森林.随纬度的增加,凋落物产量逐渐减少,凋落物产量与森林类型极显著相关,与年均温显著相关,而与年均降水关系不显著.凋落物生产动态表现为亚热带地区3个类型森林生态系统为双峰型,暖温带、温带、寒温带3个类型森林生态系统为单峰型.凋落物分解速率k表现出了与凋落物产量相似的变化趋势,即随着纬度的增加,分解速率k值逐渐降低,分解速率与年均温极显著相关,与年均降水显著相关.     

氮添加对中亚热带杜鹃灌丛凋落物生产和叶分解的影响

凋落物的生产和分解是生态系统养分循环的重要过程,受到大气氮沉降的深刻影响。但目前相关研究主要集中于森林和草地生态系统,氮沉降对灌丛生态系统凋落物养分归还的影响规律尚不清楚。因此选择亚热带分布广泛的杜鹃灌丛为研究对象,进行了为期两年的模拟氮沉降试验。试验设置4个处理:对照(CK, 0 g m-2 a-1)、低氮(LN, 2 g m-2 a-1)、中氮(MN, 5 g m-2 a-1)和高氮(HN, 10 g m-2 a-1)。结果显示:CK、LN、MN和HN 4种处理下,群落年平均凋落物量分别为(1936.54±358.9)、(2541.89±112.5)、(2342.97±519.8)、(2087.22±391.8) kg/hm²,LN、MN和HN处理样地的凋落量分别比对照样地高出32.68%、21.16%和7.93%;凋落叶、花果、凋落枝和其他组分占总凋落量的比例分别为75.75%、15.09%、7.70%和1.45%,不同浓度氮处理下各组分的凋落量均高于对照样地;凋落物组分表现出明显的季节动态:凋落叶在10—11月份达到峰值,凋落枝在10月份达到峰值,花果凋落物则在5月份凋落量最高,不同氮处理下凋落物的季节动态基本一致;白檀凋落叶分解速率显著高于杜鹃,二者分解95%所需时间分别为5.08—11.11 a和7.69—17.65 a,施氮使白檀凋落叶分解周期比对照样地缩短18.18%—54.28%;凋落叶分解过程中,N元素表现为富集-释放模式,P元素表现为富集模式。研究表明,氮添加能够促进群落中白檀凋落叶分解及N、P元素的释放,说明施氮可以调节凋落叶养分释放模式,对灌丛生态系统的养分循环具有调控作用。     

Rates of litter decomposition in terrestrial ecosystems: global patterns and controlling factors

Aims We aim to construct a comprehensive global database of litter decomposition rate (k value) estimated by surface floor litterbags, and investigate the direct and indirect effects of impact factors such as geographic factors (latitude and altitude), climatic factors (mean annual tempePlrature, MAT; mean annual precipitation, MAP) and litter quality factors (the contents of N, P, K, Ca, Mg and C:N ratio, lignin:N ratio) on litter decomposition.Methods We compiled a large data set of litter decomposition rates (k values) from 110 research sites and conducted simple, multiple regression and path analyses to explore the relationship between the k values and impact factors at the global scale.Important findings The k values tended to decrease with latitude (LAT) and lignin content (LIGN) of litter but increased with temperature, precipitation and nutrient concentrations at the large spatial scale. Single factor such as climate, litter quality and geographic variable could not explain litter decomposition rates well. However, the combination of total nutrient (TN) elements and C:N accounted for 70.2% of the variation in the litter decomposition rates. The combination of LAT, MAT, C:N and TN accounted for 87.54% of the variation in the litter decomposition rates. These results indicate that litter quality is the most important direct regulator of litter decomposition at the global scale. This data synthesis revealed significant relationships between litter decomposition rates and the combination of climatic factor (MAT) and litter quality (C:N, TN). The global-scale empirical relationships developed here are useful for a better understanding and modeling of the effects of litter quality and climatic factors on litter decomposition rates.     

降水量变化对蒙古栎落叶分解过程的间接影响

分析了在4种不同降水量条件下蒙古栎叶凋落物基质质量的变化,并应用分解袋法研究其凋落物在蒙古栎次生林内的分解过程.结果表明：与对照相比,降水量减少条件下,蒙古栎叶凋落物的初始N、P、K浓度显著升高,初始木质素浓度显著降低,凋落物分解速率大,N、P、K矿化率高,N和P固持时间缩短;降水量增加情况下,其凋落物初始N浓度显著降低、木质素浓度显著升高,N、P、K矿化率低,N和P固持时间延长.4种类型叶片凋落物的质量损失过程均符合指数降解模型,分解速率可以由凋落物木质素/N来预测.相关性分析显示,木质素浓度高、N浓度低的两种凋落物的分解速率与N浓度相关性最大;而木质素浓度低、N浓度高的两种凋落物的分解速率与木质素浓度相关性最大.说明降水量的变化显著地改变了蒙古栎叶凋落物的基质质量,进而间接地改变了凋落物的分解过程.     

Litter decomposition rates in Canadian forests

The effect of litter quality and climate on the rate of decomposition of plant tissues was examined by the measurement of mass remaining after 3 years’ exposure of 11 litter types placed at 18 forest sites across Canada. Amongst sites, mass remaining was strongly related to mean annual temperature and precipitation and amongst litter types the ratio of Klason lignin to nitrogen in the initial tissue was the most important litter quality variable. When combined into a multiple regression, mean annual temperature, mean annual precipitation and Klason lignin:nitrogen ratio explained 73% of the variance in mass remaining for all sites and tissues. Using three doubled CO₂ GCM climate change scenarios for four Canadian regions, these relationships were used to predict increases in decomposition rate of 4–7% of contemporary rates (based on mass remaining after 3 years), because of increased temperature and precipitation. This increase may be partially offset by evidence that plants growing under elevated atmospheric CO₂ concentrations produce litter with high lignin:nitrogen ratios which slows the rate of decomposition, but this change will be small compared to the increased rate of decomposition derived from climatic changes.     

Litter decomposition in grasslands of Central North America (US Great Plains)

One of the major concerns about global warming is the potential for an increase in decomposition and soil respiration rates, increasing CO₂ emissions and creating a positive feedback between global warming and soil respiration. This is particularly important in ecosystems with large belowground biomass, such as grasslands where over 90% of the carbon is allocated belowground. A better understanding of the relative influence of climate and litter quality on litter decomposition is needed to predict these changes accurately in grasslands. The Long‐Term Intersite Decomposition Experiment Team (LIDET) dataset was used to evaluate the influence of climatic variables (temperature, precipitation, actual evapotranspiration, and climate decomposition index), and litter quality (lignin content, carbon : nitrogen, and lignin : nitrogen ratios) on leaf and root decomposition in the US Great Plains. Wooden dowels were used to provide a homogeneous litter quality to evaluate the relative importance of above and belowground environments on decomposition. Contrary to expectations, temperature did not explain variation in root and leaf decomposition, whereas precipitation partially explained variation in root decomposition. Percent lignin was the best predictor of leaf and root decomposition. It also explained most variation in root decomposition in models which combined litter quality and climatic variables. Despite the lack of relationship between temperature and root decomposition, temperature could indirectly affect root decomposition through decreased litter quality and increased water deficits. These results suggest that carbon flux from root decomposition in grasslands would increase, as result of increasing temperature, only if precipitation is not limiting. However, where precipitation is limiting, increased temperature would decrease root decomposition, thus likely increasing carbon storage in grasslands. Under homogeneous litter quality, belowground decomposition was faster than aboveground and was best predicted by mean annual precipitation, which also suggests that the high moisture in soil accelerates decomposition belowground.     

Global patterns in root decomposition: comparisons of climate and litter quality effects

Root decomposition represents a significant C flux in terrestrial ecosystems. Roots are exposed to a different decomposition environment than aboveground tissues, and few general principles exist regarding the factors controlling rates of root decay. We use a global dataset to explore the relative importance of climate, environmental variables, and litter quality in regulating rates of root decomposition. The parameters that explained the largest amount of variability in root decay were root Ca concentrations and C:N ratios, with a smaller proportion explained by latitude, mean annual temperature, mean annual precipitation, and actual evapotranspiration (AET). Root chemistry and decay rates varied by plant life form (conifer, broadleaf, or graminoid). Conifer roots had the lowest levels of Ca and N, the highest C:N and lignin:N ratios, and decomposed at the slowest rates. In a stepwise multiple linear regression, AET, root Ca, and C:N ratio accounted for approximately 90% of the variability in root decay rates. Root chemistry appeared to be the primary controller of root decomposition, while climate and environmental factors played secondary roles, in contrast to previously established leaf litter decomposition models.     

外源氮输入和水分变化对荒漠草原凋落物分解的影响

全球气候变化背景下,大气氮沉降和降水变化日益显著,其对荒漠草原凋落物分解的影响存在很大的不确定性.采用裂区设计,设置主区为自然降雨、增雨30%和减雨30% 3个水分处理,副区为0(N₀)、30(N₃₀)、50(N₅₀)和100 kg·hm^-2·a^-1(N₁₀₀)4个氮素水平,经过21个月(2016年1月—2017年10月)水氮处理,研究水氮共同作用对荒漠草原常见物种猪毛菜、短花针茅和木地肤3种植物凋落物分解的影响.结果表明: 3种凋落物干物质残留率随时间增加而减少,用Olson负指数衰减模型拟合效果较好,凋落物分解系数(k)大小为猪毛菜>短花针茅>木地肤.增雨30%N₁₀₀处理分解系数最高,为0.028.单因素处理下,增雨30%和N₅₀的凋落物分解最快.水氮共同作用下,增雨 30%N₁₀₀处理凋落物分解最快.3种凋落物初始化学全氮含量大小为猪毛菜>短花针茅>木地肤,猪毛菜和短花针茅k值与全氮含量呈显著正相关;全碳含量、纤维素含量、木质素含量、C/N、木质素/N和纤维素/N大小为木地肤>短花针茅>猪毛菜,猪毛菜k值与各指标均呈显著负相关,短花针茅和木地肤k值与C/N、木质素/N和纤维素/N均呈显著负相关.猪毛菜分解最快,木地肤分解最慢.适量的水、氮添加有利于荒漠草原凋落物的分解,可以促进土壤养分循环,对荒漠草原可持续发展及生态平衡有积极作用.     

Effects of grazing intensity and grazing exclusion on litter decomposition in the temperate steppe of Nei Mongol,China

Aims Grazing intensity and grazing exclusion affect ecosystem carbon cycling by changing the plant community and soil micro-environment in grassland ecosystems. The aims of this study were: 1) to determine the effects of grazing intensity and grazing exclusion on litter decomposition in the temperate grasslands of Nei Mongol; 2) to compare the difference between above-ground and below-ground litter decomposition; 3) to identify the effects of precipitation on litter production and decomposition. Methods We measured litter production, quality, decomposition rates and soil nutrient contents during the growing season in 2011 and 2012 in four plots, i.e. light grazing, heavy grazing, light grazing exclusion and heavy grazing exclusion. Quadrate surveys and litter bags were used to measure litter production and decomposition rates. All data were analyzed with ANOVA and Pearson’s correlation procedures in SPSS. Important findings Litter production and decomposition rates differed greatly among four plots. During the two years of our study, above-ground litter production and decomposition in heavy-grazing plots were faster than those in light-grazing plots. In the dry year, below-ground litter production and decomposition in light-grazing plots were faster than those in heavy-grazing plots, which is opposite to the findings in the wet year. Short-term grazing exclusion could promote litter production, and the exclusion of light-grazing could increase litter decomposition and nutrient cycling. In contrast, heavy-grazing exclusion decreased litter decomposition. Thus, grazing exclusion is beneficial to the restoration of the light-grazing grasslands, and more human management measures are needed during the restoration of heavy-grazing grasslands. Precipitation increased litter production and decomposition, and below-ground litter was more vulnerable to the inter-annual change of precipitation than above-ground litter. Compared to the light-grazing grasslands, heavy-grazing grasslands had higher sensitivity to precipitation. The above-ground litter decomposition was strongly positively correlated with the litter N content (R² = 0.489, p < 0.01) and strongly negatively correlated with the soil total N content (R² = 0.450, p < 0.01), but it was not significantly correlated with C:N and lignin:N. Below-ground litter decomposition was negatively correlated with the litter C (R² = 0.263, p < 0.01), C:N (R² = 0.349, p < 0.01) and cellulose content (R² = 0.460, p < 0.01). Our results will provide a theoretical basis for ecosystem restoration and the research of carbon cycling.     

内蒙古温带草原不同放牧强度和围栏封育对凋落物分解的影响

放牧和围封通过影响植物群落结构和土壤微环境来调控草地生态系统的碳循环。该研究在内蒙古温带草原设置轻度放牧后围封、轻度放牧、重度放牧后围封、重度放牧4种样地, 通过测定干旱年(2011年)和湿润年(2012年)地上、地下凋落物产量、质量及其分解速率和土壤养分含量, 分析不同放牧强度对凋落物形成和分解的影响, 以及围栏封育对生态系统恢复的作用。结果表明: 重度放牧地上凋落物产量和分解速率均高于轻度放牧。干旱年轻度放牧样地地下凋落物产量和分解速率高于重度放牧, 湿润年相反。短期围封显著提高了凋落物产量, 轻度放牧样地围封后地上凋落物分解速率和养分循环加快, 而重度放牧样地围封后地上凋落物分解减慢。因此, 与重度放牧相比, 轻度放牧草地的恢复更适合采用围栏封育措施; 而重度放牧草地的恢复可能还需辅以必要的人工措施。降水显著促进地上、地下凋落物形成和分解。地下凋落物的生产和分解受降水年际波动影响较大, 重度放牧草地对降水变化的敏感度比轻度放牧草地高。地上凋落物分解速率与凋落物N含量显著正相关, 与土壤全N显著负相关, 与地上凋落物C:N和木质素:N相关性不大; 地下凋落物分解速率与凋落物C、C:N和纤维素含量显著负相关。该研究结果将为不同放牧强度的草地生态系统恢复和碳循环研究提供理论依据。