呼伦贝尔草原针茅属植物及土壤 CNP 的化学计量特征

为了研究呼伦贝尔3种典型草原的生态化学计量学特征,以兰旗庙克氏针茅、呼伦镇大针茅和克尔伦苏木小针茅为研究对象,综合研究了3种植物地上地下及土壤的C、N、P含量及其生态化学计量比特征。研究表明：全碳含量除大针茅之外,其他两种植物地上养分均低于地下养分,全氮含量和全磷含量恰好与全碳相反;3种不同针茅群落的植物地下养分含量特征与其土壤养分特征基本一致,而植物地上养分含量特征与其土壤特征却没有明显的相关性;3种针茅和它们所生长土壤的氮磷化学计量比值均小于14;3种针茅和它们所生长土壤（除小针茅外）的碳氮化学计量比值均大于25。     

外源磷添加对茶园土壤磷有效性和微生物量碳、氮、磷的影响

贵州茶园土壤普遍缺磷,土壤微生物可活化土壤难溶性磷提高植物磷素养分,对茶园土壤肥力和土壤养分的有效性具有重要的指示意义。研究了6种施磷处理(不施磷,施25mg/kg、50mg/kg、75mg/kg、100mg/kg、150mg/kg KH_2PO_4)对贵州湄潭县4个茶园表层土壤(0-20cm)土壤速效磷含量及微生物量碳、氮、磷的影响。结果表明,(1)研究区域土壤pH为4.60,较适宜茶树生长,有机碳、全氮含量分别在6.86-19.18mg/L、2.25-13.50mg/L之间,茶园土壤趋于有机碳积累;(2)土壤速效磷含量在0.37-27.44mg/L之间,施农家肥的MT3样点处于丰富、施有机肥的MT2样点处于较丰富、较少施肥的MT1和MT4样点处于很缺乏水平,外源磷添加使得处于磷较丰富、磷缺乏水平的样点土壤速效磷含量增加,处于磷丰富水平的样点土壤速效磷含量短期内先降后升;(3)施肥和管理模式较好的MT2、MT3样点微生物量碳、氮较高,且不同施磷处理均能增加研究区域土壤微生物量碳、氮含量;(4)研究中土壤微生物量磷出现负值,建议提取酸性土壤微生物量磷时延长浸提时间,使熏蒸释放的生物量磷完全水解。上述结果表明,研究区域土壤有机碳缺乏,外源磷的添加有利于缺磷土壤速效磷含量的增加,并可增加茶园土壤微生物生物量碳、氮含量。     

不同磷浓度对旱冬瓜幼苗生长与氮磷吸收的影响

在温室内以旱冬瓜幼苗为材料,探讨了4种不同磷浓度(磷质量浓度分别为25%、50%、100%、200%)处理下对旱冬瓜幼苗生长和氮磷吸收的影响.结果表明:不同浓度磷对旱冬瓜幼苗的生长产生不同的影响,且磷能明显促进地径的生长;不同磷浓度处理明显影响旱冬瓜幼苗生物量的累积和地上、地下生物量分配;不同供磷水平下旱冬瓜幼苗各器官氮磷养分含量不同.     

毛竹叶片生物量、养分及与土壤的耦合特征

叶片对植物的生长、发育和生活史的完成具有极其重要的作用,叶生物量(叶量)及其养分含量将直接影响树体对光能的接收与利用,而土壤为植物的生长发育提供了所需的养分元素。本研究对不同年龄毛竹的叶量、叶片和土壤养分含量及其相互关系进行了研究。结果表明:(1)毛竹叶量随着径阶的增大而增大。(2)5块样地中,样地1和3的毛竹叶量明显高于其他3块样地,样地4的毛竹叶量最小。(3)毛竹叶片中镁含量随着年龄的变化差异不显著(p>0.05);氮、总磷、有机磷、钾、钙含量在1度毛竹叶片与其他年龄毛竹叶片含量差异显著(p<0.05);2度以上各年龄毛竹叶间氮含量差异显著(p<0.05);毛竹叶无机磷含量仅1度竹叶与4度竹叶含量差异显著(p<0.05);叶片中的氮磷比值(N/P)随年龄增加先增大后减小;相同年龄不同径阶毛竹的叶片养分含量虽有变化却不存在显著差异(p>0.05)。(4)竹叶中氮含量与有机磷、全磷、钾、钙含量呈极显著相关(p<0.01);总磷、无机磷、有机磷含量与钙、钾含量显著相关(p<0.05);钾与钙含量呈极显著负相关(p<0.01)。(5)毛竹林土壤pH值与叶片镁含量显著负相关(p<0.05);土壤中镁含量与叶片中钙含量显著负相关(p<0.05),而与叶片全氮、总磷、有机磷、镁含量呈极显著负相关(p<0.01)。     

云南松不同部位氮、磷、钾储量分配及异速生长研究

为更好进行云南松苗木培育,提升云南松苗木质量,通过对2年生云南松苗木生长性状及不同部位氮（N）、磷（P）、钾（K）储量进行统计以及相关性、异速生长分析,研究云南松氮、磷、钾储量。结果表明,云南松幼苗生长2年后,其地下部位氮、磷、钾分配大小依次为钾储量＞氮储量＞磷储量;氮、磷、钾在土壤中的分配比例为氮储量＞磷储量＞钾储量;地上部位氮、磷、钾储量占单株氮、磷、钾储量的比例为钾储量＞磷储量＞氮储量;磷和钾在地下部位的累积速率大于地上部位的累积速率。以期为云南松苗木培育提供理论参考,为实际生产提供一定理论依据。     

施肥位点对尾巨桉幼林生物量分配及养分利用率的影响

以尾巨桉为研究对象,对其幼林进行培育,研究不同施肥位点对尾巨桉幼林生物量、养分分配及养分利用率的影响.结果表明:单位点穴施更促进根系生长,但是双位点穴施对树皮、叶片、树干、树枝和总生物量累积效果更好.养分分配除树根各处理磷素累积量差异不显著外,其他部位各养分累积量在各处理间均差异显著.不同处理叶片养分含量显著高于其他部位,且氮含量高于磷、钾含量.虽然处理Ⅱ各元素养分利用率及各部位养分累积利用率普遍优于处理Ⅰ,但差异均不显著.对尾巨桉施肥位点的研究处于初期阶段,还有待进一步探讨.     

不同海拔红松混交林土壤微生物量碳、氮的生长季动态

[目的]研究红松混交林下土壤微生物生物量碳、氮的生长季动态变化,为更多地了解红松混交林生态系统中土壤微生物群落在碳氮循环中的作用提供科学依据。[方法]以红松林在长白山海拔分布高度上限为准,从最高海拔起按每100 m海拔为1个梯度依次向下选取5个样地作为研究对象。同一海拔设置3个重复样地,面积均为20 m×20 m,间隔20 m。样地内按S型随机布点,共设10个15 cm×15 cm样方,分别于2013年5月21日、7月19日、8月23日、9月20日进行样品采集。分析不同海拔红松林的土壤理化性质及土壤微生物生物量碳和生物量氮生长季的动态变化规律及差异的机制。[结果]土壤微生物生物量碳、氮含量及碳氮比随海拔的升高呈现出先增加后降低的趋势,土壤微生物生物量碳、氮和碳氮比在900 m达到最高(1 287.18 mg·kg~(-1),224.29 mg·kg~(-1),9.29),各海拔间土壤微生物生物量碳、氮含量有显著差异(P0.01)。土壤微生物生物量碳和氮含量随着土壤深度的增加呈下降趋势,5个海拔0~5 cm土层微生物生物量碳分别是5~10 cm的1.15,1.55,1.29,2.58,1.32倍,微生物生物量氮则分别是1.50,1.23,1.45,2.64,1.09倍。在5—9月的生长季中,土壤微生物生物量碳、氮含量在0~5 cm土层均为先降低后升高再降低的变化规律,呈倒"N"形曲线,在5~10 cm土层则呈现出先升高再降低的单峰曲线形;不同土层、不同海拔间的土壤微生物生物量碳氮比的季节变化规律均存在差异,但除5月较低外,土壤微生物生物量碳氮比均在5~20之间,说明红松混交林土壤微生物群落中真菌相对于细菌更占优势,土壤的腐殖化能力相对较高;8和9月微生物生物量碳氮比最高,这一时期土壤的固碳能力最强。土壤有效氮、有机碳、有效磷、有效钾含量和p H值、含水量在各海拔之间均存在较大的差异,总体上各指标从海拔700 m到900 m逐步升高到最大值,然后开始呈下降趋势。不同海拔土壤微生物生物量碳与土壤总有机碳、有效氮、有效磷、有效钾含量和土壤含水量呈极显著正相关(P0.01),与土壤p H值呈显著正相关(P0.05);土壤微生物生物量氮与土壤p H值呈极显著正相关(P0.01),与土壤有机碳、有效氮、有效磷、有效钾含量和土壤含水量呈显著正相关(P0.05)。[结论]海拔、土壤深度、季节变化等都能对土壤微生物生物量碳、氮含量产生显著的影响,土壤的理化性质、样地林分组成等是导致土壤微生物生物量碳、氮差异的主要影响因子。     

不同氮水平条件下油茶苗养分积累及化学计量特征

【目的】研究氮添加对油茶幼苗养分积累和主要大量营养元素含量、比值等计量特征的影响,为探究氮对油茶苗生长的影响机理及其与碳、磷等互作关系提供科学参考,同时可为油茶苗氮素养分管理提供理论依据。【方法】以油茶2年生实生苗为试验材料,设置0 mmol·L^-1(N0,CK)、5 mmol·L^-1(N1)、10 mmol·L^-1(N2)、15 mmol·L^-1(N3)、20 mmol·L^-1(N4)共5个氮浓度处理,开展盆栽试验。测定油茶苗各器官生物量和碳氮磷钾元素含量,计算养分累积量、养分利用效率和元素化学计量比。【结果】氮添加显著提升油茶体内N素含量,各器官N含量均在N3水平下达到峰值。随着氮水平的升高,根系C、P含量和叶片P含量呈下降趋势,叶片C和茎部C、P、K含量保持不变。中高浓度氮素(N3、N4)能促进油茶苗干物质和养分的积累,N4处理促进作用最大。氮浓度处理改变了养分的分配格局,随着氮水平的升高,根系养分占比下降,叶片养分比例升高。氮添加降低了N素利用效率,对P、K利用效率影响...     

浙江滨海湿地互花米草生长性状对土壤化学因子的响应

[目的]比较浙江滨海湿地互花米草的生长差异,探析土壤主要化学因子对其生长的影响,为滨海湿地互花米草有效管控提供参考。[方法]以杭州湾、象山港和乐清湾作为采样地点,调查测定互花米草种群密度、株高、基径和地上生物量等生长性状指标以及土壤pH、水溶性盐分、有机碳、全氮、全磷、有效氮和有效磷等化学因子,对各个生长性状指标及土壤化学因子进行统计分析。[结果](1)互花米草种群密度、株高、基径、单株地上生物量及样方地上生物量均为杭州湾象山港乐清湾,乐清湾与象山港互花米草个体较矮小,种群较稀疏且两地差异不显著,而杭州湾互花米草则显著高于其它两地(P 0.01)。(2)乐清湾与象山港湿地土壤养分及盐度较高且两地差异不显著,而杭州湾湿地则显著低于其它两地(P 0.01)。(3)影响互花米草生长最主要的土壤化学因子是水溶性盐分,其次是土壤全氮、有效磷及pH。[结论]土壤化学因子影响浙江滨海湿地互花米草生长,土壤盐分浓度、养分含量在一定范围内促进互花米草生长,而高盐高养分则可能抑制其生长。     

水竹林土壤和地下鞭生物量的研究

本文根据15个土壤剖面分析测定和59个竹鞭样方调查资料,研究安徽省舒城县龙河地区水竹择伐异龄林土壤的物理性质和化学成分与地下鞭生物量、竹鞭分布深度、壮鞭比例间的关系。土壤中含砂量为62—72%,含粉粒量为22、64%,含粘粒量为11—18%,水竹地下部分生物量高,土壤有机质含量与水竹地下部分总生物量呈线性相关:(?)=31287.9557x-4567.6394,有效磷含量在13—33ppm 时,地下部分总生物量较高,有效氮、磷含量与地下部分总生物量无显著相关,地下部分总生物量与有效氮、磷、钾含量的关系:(?)=33518.01—22.47x_1+148.22x_2+759.48x_3,壮龄鞭比例与有机质和有效氮含量间线性相关显著,与磷、钾含量无显著相关性,土壤质地疏松、孔隙适中,肥沃的土壤中,竹鞭分布较深。     

Storage of biomass and net primary productivity in desert shrubland of Artemisia ordosica on Ordos Plateau of Inner Mongolia, China

Biomass and net primary productivity （NPP） are two important parameters in determining ecosystem carbon pool and carbon sequestration. The biomass storage and NPP in desert shrubland of Artemisia ordosica on Ordos Plateau were investigated with method of harvesting standard size shrub in the growing season （June-October） of 2006. Results indicated that above- and belowground biomass of the same size shrubs showed no significant variation in the growing season （p〉0.1）, but annual biomass varied significantly （p〈 0.01）. In the A. ordosica community, shrub biomass storage was 699.76-1246.40 g.m^-2 and annual aboveground NPP was 224.09 g-m^-2·a^-1. Moreover, shrub biomass and NPP were closely related with shrub dimensions （cover and height） and could be well predicted by shrub volume using power regression.     

Allometric models for estimation of aboveground biomass of Gmelina arborea Roxb. in pulpwood plantations of Bangladesh

Gmelina arborea Roxb. is a fast-growing, deciduous tree species native to Bangladesh. It has been widely planted since 1992 for commercial production of pulpwood in hilly areas of Bangladesh. The purpose of this study was to derive well-fitting allometric models for estimation of aboveground biomass, and carbon and nutrient (nitrogen, phosphorus and potassium) stocks in G. arborea to ensure sustainable production and management of this species. Eight linear models with 64 regression equations were tested for estimation of aboveground biomass, carbon and nutrient stocks in different parts (leaves, branches, bark and stem) of the plant. The best-fitting allometric models were selected in accordance with various relevant statistical criteria.     

Above- and belowground biomass and primary productivity of a Larix gmelinii stand near Tura, central Siberia

We assessed above- and belowground biomass and net primary production (NPP) of a mature Larix gmelinii (Rupr.) Rupr. forest (240-280 years old) established on permafrost soils in central Siberia. Specifically, we investigated annual carbon budgets in roots in relation to root system development and availability of soil resources. Total stand biomass estimated by allometry was about 39 Mg per ha. Root biomass (17 Mg per ha) comprised about 43% of total biomass. Coarse root (>/= 5 mm in diameter) biomass was about twice that of fine roots (< 5 mm). The aboveground biomass/root biomass ratio (T/R) of the larch stand was about unity, which is much less than that of other boreal and subalpine conifer forests. The proportion of fine roots in total root biomass (35%) was relatively high compared with other cold-climate evergreen conifer forests. Total NPP, defined as the sum of annual biomass increment of woody parts and needle biomass, was estimated to be 1.8 Mg per ha per year. Allocation of total NPP to needle production was 56%. The proportion of total NPP in belowground production (27%) was less than for evergreen taiga forests. However, belowground NPP was probably under-estimated because root mortality was excluded. We conclude that L. gmelinii trees invested annual carbon gains largely into needle production or roots, or both, at the expense of growth of aboveground woody parts. This carbon allocation pattern, which resulted in the construction of exploitative root networks, appeared to be a positive growth response to the nutrient-poor permafrost soil of central Siberia.     

Carbon allocation and nitrogen acquisition in a developing Populus deltoides plantation

We established Populus deltoides Bartr. stands differing in nitrogen (N) availability and tested if: (1) N-induced carbon (C) allocation could be explained by developmental allocation controls; and (2) N uptake per unit root mass, i.e., specific N-uptake rate, increased with N availability. Closely spaced (1 x 1 m) stands were treated with 50, 100 and 200 kg N ha(-1) year(-1) of time-release balanced fertilizer (50N, 100N and 200N) and compared with unfertilized controls (0N). Measurements were made during two complete growing seasons from May 1998 through October 1999. Repeated nondestructive measurements were carried out to determine stem height and diameter, leaf area and fine-root dynamics. In October of both years, above- and belowground biomass was harvested, including soil cores for fine-root biomass. Leaves were harvested in July 1999. Harvested tissues were analyzed for C and N content. Nondestructive stem diameter and and fine-root dynamic measurements were combined with destructive harvest data to estimate whole-tree biomass and N content at the end of the year, and to estimate specific N-uptake rates during the 1999 growing season. Shoot growth response was greater in fertilized trees than in control trees; however, the 100N and 200N treatments did not enhance growth more than the 50N treatment. Root biomass proportions decreased over time and with increasing fertilizer treatment. Fertilizer-induced changes in allocation were explained by accelerated development. Specific N-uptake rates increased during the growing season and were higher for fertilized trees than for control trees.     

Above- and belowground biomass measurements in an unthinned stand of Sitka spruce (<Emphasis Type="Italic">Picea sitchensis</Emphasis> (Bong) Carr.)

Reporting carbon (C) stocks in tree biomass (above- and belowground) to the United Nations Framework Convention on Climate Change (UNFCCC) should be transparent and verifiable. The development of nationally specific data is considered ‘good practice’ to assist in meeting these reporting requirements. From this study, biomass functions were developed for estimating above- and belowground C stock in a 19-year-old stand of Sitka spruce (Picea sitchensis (Bong) Carr.). Our estimates were then tested against current default values used for reporting in Ireland and literature equations. Ten trees were destructively sampled to develop aboveground and tree component biomass equations. The roots were excavated and a root:shoot (R) ratio developed to estimate belowground biomass. Application of the total aboveground biomass function yielded a C stock estimate for the stand of 74 tonnes C ha⁻¹, with an uncertainty of 7%. The R ratio was determined to be 0.23, with an uncertainty of 10%. The C stock estimate of the belowground biomass component was then calculated to be 17 tonnes C ha⁻¹, with an uncertainty of 12%. The equivalent C stock estimate from the biomass expansion factor (BEF) method, applying Ireland’s currently reported default values for BEF (inclusive of belowground biomass), wood density and C concentration and methods for estimating volume, was found to be 60 tonnes C ha⁻¹, with an uncertainty of 26%. We found that volume tables, currently used for determining merchantable timber volume in Irish forestry conditions, underestimated volume since they did not extend to the yield of the forest under investigation. Mean stock values for belowground biomass compared well with that generated using published models.     

Carbon and nitrogen cycling immediately following bark beetle outbreaks in southwestern ponderosa pine forests

Bark beetle infestation is a well-known cause of historical low-level disturbance in southwestern ponderosa pine forests, but recent fire exclusion and increased tree densities have enabled large-scale bark beetle outbreaks with unknown consequences for ecosystem function. Uninfested and beetle-infested plots (n = 10 pairs of plots on two aspects) of ponderosa pine were compared over one growing season in the Sierra Ancha Experimental Forest, AZ to determine whether infestation was correlated with differences in carbon (C) and nitrogen (N) pools and fluxes in aboveground biomass and soils. Infested plots had at least 80% of the overstory ponderosa pine trees attacked by bark beetles within 2 years of our measurements. Both uninfested and infested plots stored ∼9 kg C m⁻² in aboveground tree biomass, but infested plots held 60% of this aboveground tree biomass in dead trees, compared to 5% in uninfested plots. We hypothesized that decreased belowground C allocation following beetle-induced tree mortality would alter soil respiration rates, but this hypothesis was not supported; throughout the growing season, soil respiration in infested plots was similar to uninfested plots. In contrast, several results supported the hypothesis that premature needlefall from infested trees provided a pulse of low C:N needlefall that altered soil N cycling. The C:N mass ratio of pine needlefall in infested plots (∼45) was lower than uninfested plots (∼95) throughout the growing season. Mineral soils from infested plots had greater laboratory net nitrification rates and field resin bag ammonium accumulation than uninfested plots. As bark beetle outbreaks become increasingly prevalent in western landscapes, longer-term biogeochemical studies on interactions with other disturbances (e.g. fire, harvesting, etc.) will be required to predict changes in ecosystem structure and function.     

Changes in aboveground and belowground properties during secondary natural succession of a cool-temperate forest in Japan

Forest development in temperate regions is considered to be a global carbon sink. Many studies have examined forest development after harvesting or fire from aboveground (e.g., biomass) or belowground (e.g., soil nutrient) perspectives. However, few studies have explored forest development from both perspectives simultaneously in cool-temperate forests in Japan. In this study, we examined changes over 105 years in both aboveground and belowground components during secondary natural succession. The aboveground biomass increased for 50 years and reached a plateau in a 105-year-old stand. The N mineralization rate increased during succession for 50 years, but showed a decline in the 105-year-old stand due to the decrease in the nitrification rate in late succession. The percent nitrification (i.e., relative contribution of nitrification to N mineralization) decreased significantly with increasing forest stand age. The N mineralization rates had significant relationships with N concentrations of the dominant tree foliage and litter fall and with the amount of litter fall N. Meanwhile, other belowground properties (i.e., soil pH, phenol concentration, soil microbial respiration, and litter mass loss) did not show any significant relationship with forest stand age. This may be because the soil at the study sites was heterogeneous and consisted of Cambisols and Andosols, the latter of which originally has high organic matter content, and thus may have buffered the effect of the aboveground development. These results indicate that belowground N dynamics are more closely associated with aboveground development than other belowground properties in these forests.     

Changes in above- and belowground biomass in early successional tropical secondary forests after shifting cultivation in Sarawak,Malaysia

Uncertainties in the rate of biomass variation with forest ageing in tropical secondary forests, particularly in belowground components, limit the accuracy of carbon pool estimates in tropical regions. We monitored changes in above- and belowground biomass, leaf area index (LAI), and biomass allocation to the leaf component to determine the variation in carbon accumulation rate with forest age after shifting cultivation in Sarawak, Malaysia. Nine plots in a 4-year-old forest and fourteen plots in a 10-year-old forest were monitored for 5 and 7 years, respectively. Forest and plant part biomass were calculated from an allometric equation obtained from the same forest stands. Both above- and belowground biomass increased rapidly during the initial decade after abandonment. In contrast, a much slower rate of biomass accumulation was observed after the initial decade. LAI also increased by approximately double from the 4-year-old to 10-year-old forest, and then gently increased to the 17-year-old forest. We also found that allocation variation in leaf biomass and nitrogen was closely related to the rate of biomass accumulation as a forest aged. During the first decade after abandonment, a high biomass and nitrogen allocation to the leaf component may have allowed for a high rate of biomass accumulation. However, reduction in those allocations to leaf component after the initial decade may have helped to suppress the biomass accumulation rate in older secondary forests. Roots accounted for 14.0–16.1% of total biomass in the 4–17-year-old abandoned secondary forests. We also verified the model predicted values for belowground biomass by Cairns et al. (1997) and Mokany et al. (2006), although both models overestimated the values throughout our data sets by 45–50% in the 10-year-old forest. The low root:shoot ratio in the secondary forests may have caused this overestimation. Therefore, our results suggest that we should modify the models to estimate belowground biomass considering the low root:shoot ratio in tropical secondary forests.     

Allometric models for predicting above- and belowground biomass of <Emphasis Type="Italic">Leucaena</Emphasis>-KX2 in a shaded coffee agroecosystem in Hawaii

We developed site-specific allometric models for Leucaena leucocephala × pallida var. KX2 trees in a shaded coffee agroecosystem in Hawaii to predict above- and belowground biomass and the regrowth potential of pollarded trees. Models were used to compare tree growth rates in an experimental agroforestry system with different pollarding frequencies and additions of tree pruning residues as mulch. For all allometric equations, a simple power model (Y = aX^b) provided the optimal prediction of biomass or regrowth after pollarding. For aboveground biomass components (stem, branches, leaves, and seed and pods), stem diameter alone was the best predictor variable. Stump diameter provided the best prediction of coarse root biomass and aboveground regrowth after pollarding. Predictions of biomass from generalized allometric models often fell outside the 95% confidence intervals of our site-specific models, especially as biomass increased. The combination of pollarding trees once per year plus the addition of tree mulch resulted in the greatest aboveground regrowth rates as well as accumulation of biomass and C in the stump plus coarse roots. Although optimal prediction required the development of site-specific allometric relationships, a simple power model using stem or stump diameter alone can provide an accurate assessment of above- and belowground tree biomass, as well as regrowth potential under specific management scenarios.     

科尔沁沙质草地生物量对水、氮、磷添加的响应(英文)

为探寻科尔沁沙地东南部草地生产力自然恢复的主要限制因素,该文采用3因素2水平析因设计研究了水、氮、磷添加对沙质草地的影响。8种处理分别为添加水(W)、加氮肥(N)、加磷肥(P)、加水+氮肥(WN)、加水+磷肥(WP)、加氮肥+磷肥(NP)、加水+氮肥+磷肥(WNP)和对照(CK),每种处理6次重复,随机分配在48个4m×4m的样方中,样方之间留2m缓冲带。研究结果表明:科尔沁沙质草地生产力的恢复受氮素的限制,与水和磷无关;2005年生长季所有添加氮肥的样方,生物量和地上净初级生产力均较对照明显增加(P<0.05);禾本科根量在地下生物量中占优势。受限于地下生物量测定,目前的研究可能低估了我国北方草地的净初级生产力。