中国森林生态系统土壤呼吸温度敏感性空间变异特征及影响因素

土壤呼吸的温度敏感性(Q₁₀)是陆地碳循环与气候系统间相互作用的关键参数。尽管已有大量关于不同类型森林Q₁₀季节和年际变化规律的研究, 但是对Q₁₀在区域尺度的空间变异特征及其影响因素仍认识不足, 已有结果缺乏一致结论。该研究通过整合已发表论文, 构建了中国森林生态系统年尺度Q₁₀数据集, 共包含399条记录、5种森林类型(落叶阔叶林(DBF)、落叶针叶林(DNF)、常绿阔叶林(EBF)、常绿针叶林(ENF)、混交林(MF))。分析了不同森林类型Q₁₀的空间变异特征及其与地理、气候和土壤因素的关系。结果显示, 1) Q₁₀介于1.09到6.24之间, 平均值(±标准误差)为2.37 (± 0.04), 且在不同森林类型之间无显著差异; 2)当考虑所有森林类型时, Q₁₀随纬度、海拔、土壤有机碳含量(SOC)和土壤全氮含量(TN)的增加而增大, 随经度、年平均气温(MAT)、平均年降水量(MAP)的增加而减小。气候(MAT、MAP)和土壤(SOC、TN)因素间存在相互作用, 共同解释了33%的Q₁₀空间变异, 其中MAT和SOC是Q₁₀空间变异的主要驱动因素; 3)不同类型森林Q₁₀对气候和土壤因素的响应存在差异。在DNF中Q₁₀随MAP的增加而减小, 而其他类型森林中Q₁₀与MAP无显著相关性; 在EBF、DBF、ENF中Q₁₀随TN的增加而增大, 但Q₁₀对TN的敏感性在EBF中最高, 在ENF中最低。这些结果表明, 尽管Q₁₀有一定的集中分布趋势, 但仍有较大范围的空间变异, 在进行碳收支估算时应注意尺度问题。Q₁₀的主要驱动因素和Q₁₀对环境因素的响应随森林类型而变化, 在气候变化情景下, 不同森林类型间Q₁₀可能发生分异。因此, 未来的碳循环-气候模型还应考虑不同类型森林碳循环关键参数对气候变化的响应差异。     

Soil C mineralization and temperature sensitivity in alpine grasslands of the Qinghai-Xizang Plateau

青藏高原具有独特的海拔、气候和生态系统类型, 弄清其土壤有机质分解及其温度敏感性对于揭示青藏高原土壤碳储量变化及其碳汇功能具有重要意义。该文利用青藏高原西北部草地的11个封育-自由放牧成对草地, 通过测定不同温度(5、10、15、20和25 ℃)培养下的土壤碳矿化速率, 探讨了土地利用方式对该地区土壤碳矿化及其温度敏感性的影响。实验结果表明: 温度对青藏高原高寒草地的土壤碳矿化具有显著影响, 温度越高土壤碳矿化量越大。从东至西, 土壤碳矿化量逐渐降低。草地土壤碳矿化量与土壤有机碳和土壤全氮含量显著正相关; 即土壤有机碳和土壤全氮含量越高, 土壤碳矿化量就越高。土地利用方式对土壤碳矿化的温度敏感性(Q₁₀)无显著影响, Q₁₀值变化范围为1.4-2.4; 其中, 放牧草地Q₁₀的平均值为1.83, 封育草地Q₁₀的平均值为1.86。此外, Q₁₀与土壤有机碳和土壤全氮含量无显著的相关关系, 也无明显的空间格局。放牧和封育对青藏高原高寒草地土壤碳矿化的温度敏感性无显著影响, 为深入分析青藏高原土壤碳汇功能及其对未来气温升高的响应提供了重要的理论依据。     

中国典型陆地生态系统波文比特征及影响因素

波文比(β)是陆面过程中的重要参数, 影响着地表和大气间的能量交换, 明确β的空间变异规律和影响因素有助于对地表能量平衡和气候间反馈关系的预测。该研究收集了在中国不同生态系统类型开展的用涡度相关法(EC)测量地表能量平衡的公开发表文献, 构建了β和气象环境因子数据库, 分析了β在生态系统之间的差异、空间变异特征及影响因素。主要结果: (1)所有生态系统β平均值为0.95 ± 0.64, 变异系数67%, 偏度1.58, 峰度3.07, 整体服从对数正态分布, β平均值最高为灌木生态系统(1.26), 最低为湿地生态系统(0.49)。(2) β在生态系统类型间差异显著: 森林和湿地生态系统β无显著差异, 灌木生态系统β >草地生态系统 β >森林和湿地生态系统 β, 农田生态系统β介于草地生态系统与森林和湿地生态系统之间。(3) β随着纬度的增加而增加, 不随经度和海拔变化。纬度每增加1°,β增加0.038。(4) β随着年降水量(MAP)、年平均气温(MAT)、净辐射(R_n)、当年降水量(PPT)、当年平均气温(T_a)和叶面积指数(LAI)的增加而降低。(5)不同生态系统中β对生物和非生物因素的响应存在显著差异: 草地、森林和灌木生态系统的β对生物和非生物因素变化较为敏感, 而农田和湿地生态系统的β与所有生物和非生物因素均无显著相关关系。(6) MAP和R_n是β变化的直接影响因素, LAI通过影响R_n间接影响β。结果表明了植被类型与气候因素之间具有交互作用, 能量分配最主要的影响因素是降水, 叶面积对能量分配的调节作用并不显著。     

中亚热带常绿阔叶林不同演替阶段土壤呼吸及其温度敏感性的变化

为探明中亚热带地区常绿阔叶林演替序列土壤呼吸(R_s)的变化趋势及其影响机制, 在福建省建瓯市万木林自然保护区选取演替时间分别为15年(演替初期)、47年(演替中期)和110年(演替后期)三个不同演替阶段, 进行了为期1年的野外原位观测。结果发现: 演替初期、中期和后期的R_s分别为2.38、3.32和3.91 µmol·m ^-2·s ^-1, 温度敏感性(Q₁₀值)分别为2.64、1.97和1.79; 与演替初期相比, 演替后期的R_s显著增加64.29%, Q₁₀值显著降低32.30%; 不同演替阶段R_s的季节变化模式相似, 温度和含水量可分别解释季节变化的69.5% (初期)、81.9% (中期)和61.3% (后期); 回归分析发现, R_s与凋落物年归还量、细根生物量和土壤全氮和土壤有机质碳含量显著正相关。表明本研究区内植被演替促进了土壤碳排放, 降低了土壤呼吸的温度敏感性; 土壤碳输入增加、养分含量的提高和细根生物量增大是中亚热带常绿阔叶林R_s随演替进程逐渐增大的主要原因。     

Effects of nitrogen addition on soil respiration in shrublands in Mt. Dongling,Beijing, China

Aims Soil respiration from terrestrial ecosystems is an important component of terrestrial carbon budgets. Compared to forests, natural or semi-natural shrublands are mostly distributed in nutrient-poor sites, and usually considered to be relatively vulnerable to environmental changes. Increased nitrogen (N) input to ecosystems may remarkably influence soil respiration in shrublands. So far the effects of N deposition on shrubland soil respiration are poorly understood. The aim of this study is to investigate the soil respiration of Vitex negundo var. heterophylla and Spiraea salicifolia shrublands and their response to N deposition. Methods We carried out a N enrichment experiment in V. negundo var. heterophylla and S. salicifolia shrublands in Mt. Dongling, Beijing, with four N addition levels (N₀, control, 0; N₁, low N, 20 kg N·hm^-2·a^-1; N₂, medium N, 50 kg N·hm^-2·a^-1 and N₃, high N, 100 kg N·hm^-2·a^-1). Respiration was measured from 2012-2013 within all treatments.Important findings Under natural conditions, annual total and heterotrophic respiration were 5.91 and 4.23, 5.76 and 3.53 t C·hm^-2·a^-1 for the V. negundo var. heterophylla and S. salicifolia shrublands, respectively and both were not affected by short-term N addition. In both shrubland types, soil respiration rate exhibited significant exponential relationships with soil temperature. Temperature sensitivity (Q₁₀) of total soil respiration in V. negundo var. heterophylla and S. salicifolia shrublands ranged from 1.44 to 1.58 and 1.43 to 1.98, and Q₁₀ of heterotrophic soil respiration ranged from 1.38 to 2.11 and 1.49 to 1.88, respectively. Short-term N addition decreased only autotrophic respiration rate during the growing season, but had no significant effects on total and heterotrophic soil respiration in V. negundo var. heterophylla shrubland. In contrast, N addition enhanced the heterotrophic soil respiration rate and did not influence autotrophic and total soil respiration in S. salicifolia shrubland.     

黄土高原不同植被带人工刺槐林土壤氮磷转化酶动力学参数及其温度敏感性

土壤酶是有机质降解的催化剂,其动力学特征是表征酶催化性能的重要指标,对评价土壤健康质量有重要作用。本研究选择黄土高原3种植被带下人工刺槐林土壤为对象,探讨了土壤酶动力学参数对温度变化的响应及其温度敏感性(Q₁₀)的变化特征。结果表明: 随着培养温度的升高,土壤丙氨酸转氨酶、亮氨酸氨基肽酶和碱性磷酸酶的潜在最大反应速率(V_max)和半饱和常数(K_m)均呈线性增加,且V_max呈现出森林带>森林草原带>草原带的地带性规律。V_max的温度敏感性(Q10(V_max))为1.14～1.62,K_m的温度敏感性(Q_10(Km))为1.05～1.47,且两者在森林草原带的值均低于其他植被带。在低、高温区,不同土壤酶的Q₁₀在各植被带间的变化也不尽相同。冗余分析显示,Q₁₀与环境变量尤其是土壤养分有显著的相关关系,这表明Q₁₀可能还受到除温度以外其他环境因子的影响。     

北京山区不同植被类型的土壤呼吸特征及其温度敏感性

土壤呼吸作为陆地生态系统碳循环的重要组成部分,是生态系统碳循环研究中的热点问题.土壤呼吸温度敏感性(Q₁₀)是估算土壤呼吸对全球变暖的反馈参数,研究不同植被类型的Q₁₀对评估森林生态系统碳收支具有重要意义.本研究以北京山区典型植被类型侧柏、油松和栓皮栎为研究对象,通过测定生长季内3种植被类型的土壤理化性质、土壤水热因素以及土壤呼吸速率(R_s)的变化,探究不同植被类型下的土壤呼吸特征及温度敏感性.结果表明:3种主要植被类型的R_s在生长季内与土壤温度、湿度的变化趋势相似,均呈现先升高后降低的单峰变化,R_s在4月初最低(0.45 μmol·m^-2·s^-1),随后逐渐增大,在7月初达到峰值(3.95 μmol·m^-2·s^-1),然后逐渐降低,3种植被类型的R_s和Q₁₀值均存在显著差异.土壤温度和湿度是土壤呼吸的重要影响因素,两者与R_s拟合的回归模型可以解析土壤呼吸速率48.1%～56.7%的变化.北京山区的Q₁₀值在2.05～3.19,在同一植被类型下,Q₁₀值与土壤有机碳含量呈显著负相关(R²>0.9),植被类型、海拔和土壤有机碳含量是造成不同植被类型Q₁₀值差异的重要原因.     

Short-term nitrogen fertilization decreased root and microbial respiration in a young Cunninghamia lanceolata plantation

Aims As the primary pathway for CO₂ emission from terrestrial ecosystems to the atmosphere, soil respiration is estimated to be 80 Pg C·a^-1 to 100 Pg C·a^-1, equivalent to 10 fold of fossil fuel emissions. As an important management practice in plantation forests, fertilization does not only increase primary production but also affects soil respiration. To investigate how nitrogen (N) fertilization affects total soil, root and microbial respiration, a N fertilization experiment was conducted in a five-year-old Cunninghamia lanceolata plantation in Huitong, Hunan Province, located in the subtropical region. MethodsOne year after fertilization, soil respiration was monitored monthly by LI-8100 from July 2013 to June 2014. Soil temperature and water content (0-5 cm soil depth) were also measured simultaneously. Available soil nutrients, fine root biomass and microbial communities were analyzed in June 2013. Important findings Total soil, root and microbial respiration rates were 22.7%, 19.6%, and 23.5% lower in the fertilized plots than in the unfertilized plots, respectively. The temperature sensitivity (Q₁₀) of soil respiration ranged from 1.81 to 2.04, and the Q₁₀ value of microbial respiration decreased from 2.04 in the unfertilized plots to 1.84 in the fertilized plots. However, neither the Q₁₀ value nor the patterns of total soil respiration were affected by N fertilization. In the two-factor model, soil temperature and moisture accounted for 69.9%-79.7% of the seasonal variations in soil respiration. These results suggest that N fertilization reduces the response of soil organic carbon decomposition to temperature change and may contribute to the increase of soil carbon storage under global warming in subtropical plantations.     

Allocation of mass and stability of soil aggregate in different types of Nei Mongol grasslands

Aims Soil aggregate is an important component of soil structure, playing an important role in the physical and biological protection mechanism of soil organic carbon (SOC) through isolating SOC from microorganisms. As far as we know, there are few studies, however, on exploring the spatial distribution of soil aggregate at the regional scale. Our objective was to investigate the mass allocation and stability of soil aggregate in different types of Nei Mongol grasslands. Methods We have established 78 sites with a size of 10 m × 10 m across the transect of Nei Mongol grasslands and collected soil samples from different soil depth up to 1 m. We used wet sieving method to separate different sizes of aggregate partition and used mean mass diameter (MMD) and geometric mean diameter (GMD) in order to evaluate the stability of soil aggregate. The two-way ANOVA was used to test the difference of mass percentage and stability of soil aggregate in different grassland types and soil depths. In addition, a linear regression analysis was used to analyze the correlations of mass percentage and stability of soil aggregate with both mean annual precipitation (MAP) and mean annual temperature (MAT). Important findings The results showed that the mass percentages of soil aggregate were highest in meadow steppe, while almost equal in typical steppe and desert steppe. However, no significant patterns were found along the soil depth. The mass percentage of soil aggregate fractions were positively correlated with MAP in all soil layers, but negatively correlated with MAT except the layer of 70-100 cm. For the stability of soil aggregate, at 0-10 and 10-20 cm, MMD and GMD of meadow steppe were significantly greater than those of typical and desert steppes, whereas no significant differences among three grassland types were found for other soil layers. Besides, MMD and GMD in meadow steppe and typical steppe gradually decreased along the soil depth.     

中亚热带森林土壤微生物群落多样性随海拔梯度的变化

运用Biolog EcoPlate技术, 对武夷山不同海拔植被带(常绿阔叶林(EBF)、针叶林(CF)、亚高山矮林(DF)、高山草甸(AM))土壤微生物群落多样性差异进行了研究。结果表明: 不同海拔植被带土壤微生物群落功能多样性差异显著。土壤平均颜色变化率(AWCD)随培养时间延长而逐渐增加, 同一深度土层的AWCD值随海拔升高而逐渐降低, 大小顺序依次为EFB > CF > DF > AM。同一海拔植被带, 不同深度土层的AWCD值总体趋势依次为0-10 cm > 10-25 cm > 25-40 cm。土壤微生物群落Simpson指数、Shannon-Wiener指数、丰富度指数和McIntosh指数的总体趋势为EBF最高, CF和DF次之, AM最低。不同海拔植被带土壤微生物对不同碳源利用强度存在较大差异, 其中EBF利用率最高, AM利用率最低, 碳水化合物和羧酸类碳源是各海拔植被带土壤微生物的主要碳源。主成分分析结果表明, 从31个因素中提取的与碳源利用相关的主成分1、主成分2分别能解释变量方差的75.27%和16.14%, 在主成分分离中起主要贡献作用的是胺类和氨基酸类碳源。土壤微生物群落多样性随着海拔上升、土层加深而逐渐下降的原因, 可能是生物量、林分凋落物、土壤养分、微小动物、植物根系等多种因素共同作用的结果。     

纬度梯度移栽对兴安落叶松针叶暗呼吸温度敏感性的影响

叶片暗呼吸温度敏感性对研究森林生态系统碳循环及其对气候变化的响应具有重要意义,但其树种内的变异性及季节动态还不清楚.本研究于2018年在同质园内测定了移栽自4个纬度(塔河、松岭、黑河和带岭)的兴安落叶松针叶的暗呼吸温度敏感系数(Q₁₀),旨在探索来自不同气候条件树木的Q₁₀的种内变异性及季节动态.结果表明: 4个移栽地的Q₁₀具有明显的季节动态,其最大值均出现在生长季中期.4个移栽地树木的Q₁₀存在显著差异,其变动范围为(1.48±0.01)～(2.15±0.03),并且在每个生长季阶段中差异的变化格局一致,即来自低纬度高温地区的树木Q₁₀值较大.Q₁₀与针叶氮浓度、可溶性糖浓度、移栽地年均气温和年均降水量间均存在显著正相关关系.综上,Q₁₀在移栽地之间的差异及其季节动态主要由针叶养分含量和树木对移栽原地气候的长期适应引起的,这些因素在森林碳循环对气候变化响应的模型和预测中应该予以考虑.     

Seasonality and drivers of stem CO2 efflux for four temperate coniferous tree species

Aims Stem CO₂ efflux (E_s) is an important component of annual carbon budget in forest ecosystems, but how biotic and environmental factors regulate seasonal and inter-specific variations in E_s is poorly understood. The objectives of this study were: (1) to compare seasonal dynamics in E_s for four temperate coniferous tree species in northeastern China, including Korean pine (Pinus koraiensis), Korean spruce (Picea koraiensis), Mongolian pine (Pinus sylvestris var. mongolica), and Dahurian larch (Larix gmelinii); and (2) to explore factors driving the inter-specific variability in E_s during the growing and non-growing seasons.
Methods Ten to twelve trees for each tree species were sampled for E_s and stem temperature at 1 cm depth beneath the bark (T_s) measurements in situ with an infrared gas analyzer (LI-6400 IRGA) and a digital thermometer, respectively, from July to October 2013 and March to July 2014. The daily stem circumference increment (S_i), sapwood nitrogen concentration ([N]), and related environmental factors were monitored simultaneously.
Important findings The temporal variation in E_s for the four tree species overall followed the changes in T_s throughout the study period, with the maxima occurring in the summer months (late May to early July) characterized by higher temperature and more rapid stem growth and the minima in spring (late March to April) or autumn (October) having lower temperature. T_s accounted for 42%-91% and 56%-89% of variations in E_s during the growing (May to September) and non-growing (other months) seasons, respectively. Furthermore, apart from T_s, we also found significant regression relationships between E_s and S_i, relative air humidity and [N] during the growing season, but their forms and correlation coefficients were species-dependent. These results indicated that T_s was the dominant environmental factor affecting seasonal variations in E_s, but the magnitude of the effect varied with tree species and growth rhythm. Mean E_s for each of the four tree species was significantly higher in the growing season than in the non-growing season, whereas within the season there were also significant differences in mean E_s among the tree species (all p < 0.05). The temperature sensitivity of E_s (Q₁₀ value) did not differ significantly among the tree species during the growing season, ranging from 1.64 for Dahurian larch to 2.09 for Mongolian pine, but did differ during the non-growing season which varied from 1.80 for Korean pine to 3.14 for Dahurian larch. Moreover, Korean spruce, Mongolian pine and Dahurian larch had significantly greater Q₁₀ values in the non-growing season than in the growing season (p < 0.05). These findings suggested that the differences of the response of E_s to temperature change for different tree species were mainly from the non-growing season. Because the seasonality and inter-specific variability in E_s for these temperate coniferous tree species were primarily controlled by multiple factors such as temperature, we conclude that using a single annual temperature response curve to estimate the annual E_s may lead to more uncertainty.     

新疆阿尔泰红山嘴地区的表土孢粉与现代植被

在新疆阿尔泰山中段的红山嘴地区选取一条沿海拔745-2 413 m的不同植被带群落样方进行调查, 对应采集37个表土样品进行孢粉统计和排序分析, 初步探究了红山嘴地区的植被与表土孢粉之间的对应关系, 并将之与新疆阿尔泰西部的喀纳斯西坡孢粉垂直带进行对比。结果表明, 红山嘴地区表土孢粉谱依照海拔高度自上而下划分为4个孢粉组合类型, 分别对应亚高山草甸、山地森林、灌丛草原和荒漠草原。乔木植物中云杉属(Picea)和松属(Pinus)花粉, 灌木植物中麻黄属(Ephedra)及草本植物中的苋科和蒿属(Artemisia)因受到自然风力、水流及人为活动的影响, 表现出明显的超代表性; 乔木植物中的落叶松属(Larix)花粉, 草本植物中的禾本科及莎草科花粉, 却在其自身为优势种的群落中呈现低代表性; 蒿属与苋科花粉百分含量的比值(Ar/Am)能较好地反映该区气候垂直带的干湿状况, 灌丛草原带的Ar/Am低, 在一定程度上反映了人类活动对草原灌丛化的影响。与新疆阿尔泰西部的喀纳斯西坡孢粉垂直带相比, 红山嘴垂直带的孢粉类型偏少, 同时相似的孢粉带在该区的分布高度比喀纳斯西坡高。此外, 排序分析(RDA)结果表明, 年降水量是影响该区表土孢粉组合的主要环境因子。     

Dynamics and regulations of ecosystem light use efficiency in a broad-leaved Korean pine mixed forest,Changbai Mountain

Aims Ecosystem light use efficiency (LUE) reflects the ability of CO₂ uptake and light utilization via photosynthesis, which is a key parameter in ecosystem models to evaluate ecosystem productivity. The objectives of this study were to: (1) compare the differences of LUE derived from different methods; (2) elucidate the seasonal dynamics of LUE and its regulatory factors; and (3) evaluate the maximum LUE (LUE_max) and its variability based on eddy-covariance (EC) flux.Methods Using the flux data from an EC tower during 2003-2005 at a broad-leaved Korean pine (Pinus koraiensis) mixed forest, Changbai Mountain, two types of LUE indicators were generated from: 1) the apparent quantum yield (ε) estimated with rectangular hyperbolic curve, and 2) the ecological light use efficiency (LUE_eco) calculated as the ratio between gross ecosystem productivity (GEP) and photosynthetically-active radiation (Q).Important findings The seasonal variation of ε and LUE_eco appeared a unimodal pattern within a year, with the variations significantly dominated by soil surface temperature and Normalized Difference Vegetation Index (NDVI). A positive correlation between GEP and LUE was found for both ε and LUE_eco, with the effect of Q on LUE relatively weak. The increase in diffusion radiation appeared favorable for enhanced LUE. Generally, there was a significant positive relationship between ε and LUE_eco, while ε was higher than LUE_eco, especially during the mid-season. The annual maximum value of ε and LUE_eco was (0.087 ± 0.003) and (0.040 ± 0.002) μmol CO₂·μmol photon^-1 over the three years, respectively. The interannual variability of LUE_max for ε and LUE_eco was 4.17% and 4.25%, respectively, with a maximum difference of >8%, likely resulted from considerable uncertainty in model simulations. Our results indicated that the inversion and optimization of maximum LUE should be taken seriously in the application of LUE models.     

Characteristics of soil nitrogen mineralization in the rhizosphere of trees,shrubs, and herbs in subtropical forest plantations

为了探讨人工林内优势乔木和林下灌草根际土壤氮矿化特征, 明确乔灌草根际土壤氮转化差异, 该研究以江西泰和千烟洲站区典型人工杉木(Cunninghamia lanceolata)、马尾松(Pinus massoniana)和湿地松(Pinus elliottii)林为对象, 在植被生长季初期(4月)和旺盛期(7月)分析3种人工林内乔木、优势灌木(檵木(Loropetalum chinense)、杨桐(Adinandra millettii)、格药柃(Eurya muricata))和草本(狗脊蕨(Woodwardia japonica)、暗鳞鳞毛蕨(Dryopteris atrata))根际土壤的净氮矿化速率、土壤化学性质及土壤微生物特征。结果发现: 1)物种、林型和取样季节显著影响了根际土壤净氮矿化速率(N_min)、净铵化速率(N_amm)和净硝化速率(N_nit)。马尾松和湿地松林内林下灌草根际土壤净氮矿化的季节敏感性高于乔木: 4月乔木根际土壤N_min和N_amm显著高于大多数林下灌草, 而7月林下灌草根际土壤N_min和N_amm显著提高, 与乔木不再具有显著差异, 与主成分综合得分方差分析的结果一致。一般情况下, 杉木林N_min和N_nit显著高于马尾松林和湿地松林。7月净氮矿化显著高于4月。2)土壤铵态氮、硝态氮、全氮及土壤微生物量氮含量是影响根际土壤净氮矿化的主要因素。土壤化学性质对人工林根际土壤净氮矿化变异的贡献率为29.2%, 显著高于土壤微生物的解释率。充分考虑不同季节林下植被根际土壤的净氮矿化及其关键影响因素可为准确评估人工林生态系统养分循环状况提供重要支撑。     

华北区域环境梯度上阔叶林构建模式及分布成因

森林群落的构建即多样性维持机制是当今生态学研究的热点问题。然而, 当前群落构建和群落多样性的研究多在间接梯度上进行, 而在水、热等影响物种在区域内定植的关键且直接的环境梯度上研究群落构建和多样性模式则鲜有报道。结合环境因子, 基于物种组成和谱系方法探讨不同群落的分布成因, 有助于解释群落构建过程中的关键问题。该研究基于华北森林群落调查数据和环境数据, 涉及7个省市区的29个以壳斗科、桦木科为优势种的群落, 探讨了直接环境梯度上的群落构建和多样性模式, 同时用典范对应分析研究了不同群落分布的环境解释。结果发现, 相似的群落具有相似的生境偏好, 相似的生境条件会形成物种组成相同或相似的群落。环境热量主导了本区域的谱系关系, 在年平均气温较低的地区, 群落构建主要表现为生境过滤的模式。此外, 随着年降水量的增加, 生境过滤作用逐渐增加。在温度梯度上, 谱系多样性表现为钟形模式, 而降水量的增加能导致谱系多样性的增加。     

氮和水分添加对内蒙古荒漠草原放牧生态系统土壤呼吸的影响

土壤呼吸是生态系统碳循环的重要组成部分, 同时也是评价生态系统健康状况的重要指标, 对于评估退化草地恢复过程中生态系统功能具有重要意义。该研究在内蒙古四子王旗短花针茅(Stipa breviflora)荒漠草原长期放牧实验平台上进行, 该平台设置对照(CK)、轻度(LG)、中度(MG)和重度(HG) 4个放牧强度。通过在4个放牧处理区设置氮、水添加实验处理, 探讨不同放牧强度背景下, 氮、水补充对荒漠草原土壤呼吸过程的影响。结果表明: (1)历史放牧强度除2015年对土壤呼吸无显著影响, 2016和2017年都有显著影响, 放牧区3年平均土壤呼吸速率基本都高于对照区。此外, 氮和水分添加显著增加了MG区土壤呼吸速率, HG区氮、水同时添加对土壤呼吸速率有显著增加作用; (2)无论是历史放牧强度, 还是氮、水添加处理, 都没有改变荒漠草原生长季土壤呼吸速率的季节动态变化趋势, 土壤呼吸速率基本表现为单峰曲线模式, 峰值出现在水热同期的7月份; (3)不同年份生长季土壤呼吸速率对氮、水处理的响应并不相同, 氮添加至第3年产生显著影响。水分添加在平水年份(2015和2017年)对土壤呼吸产生显著影响, 但在丰水年份(2016年)无显著影响。氮、水共同添加分别在CK、LG和HG区3年平均土壤呼吸速率显著高于单独加水处理, 说明氮添加的有效性依赖于水分条件, 两者表现为协同作用; (4)不同处理下荒漠草原土壤呼吸的温度敏感性(Q₁₀)值介于1.13-2.41之间, 平均值为1.71。在无氮、水添加时, 放牧区的Q₁₀值都小于CK区, 总体表现为CK 大于 MG 大于 LG 大于 HG; 加水和氮水共同添加处理后, Q₁₀值都有明显增加, 其中NW处理下Q₁₀值都增加到2.0以上。上述结果说明在过去受不同放牧强度影响的荒漠草原在停止放牧后的恢复过程中, 土壤水分仍是影响土壤呼吸的主导环境因子, 外源氮添加只有在满足一定水分供给的基础上才起作用, 尤其是过去的重度放牧区土壤呼吸速率对氮、水补充的响应最为强烈。该研究结果可以为评估荒漠草原恢复过程中土壤呼吸速率受养分和水分影响提供基础资料和依据。     

短期施氮肥降低杉木幼林土壤的根系和微生物呼吸

土壤呼吸是陆地生态系统碳循环的重要过程。在人工林生态系统中, 施肥不仅能提高人工林的生产力和固碳能力, 而且还会对土壤呼吸产生影响。为阐明施氮肥对人工林土壤总呼吸、根系和微生物呼吸的影响, 在中亚热带地区的湖南会同, 以5年生杉木(Cunninghamia lanceolata)幼林为研究对象, 施氮肥1年后, 利用LI-8100对土壤呼吸进行为期12个月的野外原位定点观测。结果发现: 施氮肥使土壤总呼吸、根系呼吸和微生物呼吸分别降低了22.7%、19.6%和23.5%; 土壤呼吸的温度敏感性(Q₁₀)为1.81-2.04, 施肥使土壤微生物呼吸的Q₁₀值从对照的2.04降低为1.84, 但土壤总呼吸的Q₁₀值没有发生显著变化; 施肥没有改变土壤呼吸的季节变化, 在双因素模型中, 土壤温度和含水量可以解释土壤呼吸季节变化的69.9%-79.7%。研究表明施氮肥能降低中亚热带地区杉木人工林土壤有机碳分解对温度升高的响应, 在全球变暖背景下有利于增加土壤有机碳储量。     

干扰强度对亚热带米槠人促更新林土壤呼吸及其组分的影响

研究轻度干扰和重度干扰对亚热带米槠人促更新林土壤总呼吸、异养呼吸的影响.结果表明:与轻度干扰米槠林相比,重度干扰林的土壤呼吸及其各组分均下降,其中,自养呼吸(R_A,1.75 t C·hm^-2·a^-1)下降了40%.与轻度干扰林相比,重度干扰林土壤有机碳储量、细根生物量和凋落物量均显著降低.土壤温度可以分别解释轻度干扰林土壤呼吸(R_S)、异养呼吸(R_H)、自养呼吸(R_A)的84.7%、68.3%、5.1%,可以解释重度干扰林的84.4%、54.6%、21.7%.轻度干扰林和重度干扰林R_S、R_H、R_A的Q₁₀值分别为1.75、1.93、1.27和2.46、2.34、1.65.随着干扰强度的增加,森林生态系统碳储量降低,土壤呼吸下降,且土壤呼吸及其各组分对外界环境变化的响应更明显,生态系统表现出脆弱性,重度干扰下森林生态系统在短时间内难以恢复.     

Exploring the influence of soil types underneath the canopy in winter wheat leaf area index remote estimating

Aims Remote sensing is an effective and nondestructive way to retrieve leaf area index (LAI) from plot, regional and global range. Soil background is one of the confounding factors limiting remotely estimating LAI. And soil type contains a large proportion of soil background information, which can influence the optical properties of vegetation canopy and soil. However, our knowledge on the effects stemmed from soil types underneath the canopy on LAI remote estimating have been in shortage. Thus, this study aims to explore the influences of soil types underneath the canopy on winter wheat LAI remote estimating. Methods We analyzed the sensitivity variation of eight spectral indices, named normalized difference vegetation index (NDVI), modified soil-adjusted vegetation index (MSAVI), modified chlorophyll absorption ratio index 2 (MCARI₂), red edge inflection point (REIP), red edge amplitude (Dr), red edge area (SDr), red edge symmetry (RES), normalized difference spectral index (NDSI), to LAI in different soil types, and then we identified some spectral intervals or parameters that were insensitive to soil type variations underneath the canopy. We also compared the accuracy of two commonly used regression models, partial least squares regression (PLSR) and random forest regression (RFR), in estimating LAI for different soil types. We also explored the problems arising from applying the regression model developed in single soil type area to complex soil types area in retrieving LAI. Important findings This paper demonstrates the effects of soil types underneath the canopy on LAI retrieving. 1) The sensitivity of spectral indices to LAI is significantly different due to the soil type variation, but REIP has the least effects from soil type variation among the eight spectral indices. Meanwhile, the band selection algorithm of lambda-by-lambda not only chooses the most sensitive spectral interval for LAI, but also provides a feasible way to construct the spectral index that exhibits strong resistances to the effects of soil types underneath the canopy. 2) The accuracy of LAI estimation by regression models differs under soil type considered or not. So we suggest that in small scale researches, especially in a field scale, the ability of regression models in explaining variables is the priority consideration, while the PLSR is superior to RFR in this respect. Under the premise of unknown priori knowledge of land surfaces, the RFR is more suitable for retrieving LAI than PLSR, but land surface priori knowledge is still necessary. These findings provide the theoretical basis and methods for developing remotely sensing estimating LAI models adapted to various land surfaces. Further analysis is needed in applying the findings in more crop types, cultivars and growth stages.