Forest natural regeneration and biomass production after slash and burn in a seasonally dry forest in the Southern Brazilian Amazon

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Variation in liana abundance and biomass along an elevational gradient in the tropical Atlantic Forest (Brazil)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Biomass fire consumption and carbon release rates of rainforest-clearing experiments conducted in northern Mato Grosso, Brazil

Biomass consumption and carbon release rates during the process of forest clearing by fire in five test plots are presented and discussed. The experiments were conducted at the Caiabi Farm near the town of Alta Floresta, state of Mato Grosso, Brazil, in five square plots of 1 ha each designated A, B, C, D, and E, with different locations and timing of fire. Plot A was located in the interface with a pasture, with three edges bordering on the forest, and was cut and burned in 1997. Plots B,C, D, and E were located inside the forest. Plot B was cut and burned in 1997. Plot C was inside a deforested 9-ha area, which was cut and burned in 1998. Plot D was inside a deforested 4-ha area, which was cut in 1998 and burned in 1999. Plot E was inside a deforested 4-ha area which was cut and burned in 1999. Biomass consumption was 22.7%, 19.5%, 47.5%, 61.5% and 41.8%, for A, B, C, D, and E, respectively. The effects of an extended curing period and of increasing the deforested area surrounding the plots could be clearly observed. The consumption for areas cut and burned during the same year, tended toward a value of nearly 50% when presented as a function of the total area burned. The aboveground biomass of the test site and the amount of carbon before the fire were 496 Mg ha-1 and 138 Mg ha-1, respectively. Considering that the biomass that remains unburned keeps about the same average carbon content of fresh biomass, which is supported by the fact that the unburned material consists mainly of large logs and considering the value of 50% for consumption, the amount of carbon released to the atmosphere as gases was 69 Mg ha-1. The amounts of CO2 and CO released to the atmosphere by the burning process were then estimated as 228 Mg ha-1 and 15.9 Mg ha-1, respectively. Observations on fire propagation and general features of the slash burnings in the test areas complete the paper. Copyright 2001 by the American Geophysical Union.

Assessing the above-ground biomass of a complex tropical rainforest using a canopy crane

Current estimates of the total biomass in tropical rainforests vary considerably; this is due in large part to the different approaches that are used to calculate biomass. In this study we have used a canopy crane to measure the tree architectures in a 1 ha plot of complex mesophyll vine forest at Cape Tribulation, Australia. Methods were developed to measure and calculate the crown and stem biomass of six major species of tree and palm (Alstonia scholaris (Apocynaceae), Cleistanthus myrianthus (Euphorbiaceae), Endiandra microneura (Lauraceae), Myristica insipida (Myristicaceae), Acmena graveolens (Myrtaceae), Normanbya normanbyi (Arecaceae)) using the unique access provided by the crane. This has allowed the first non-destructive biomass estimate to be carried out for a forest of this type. Allometric equations which relate tree biomass to the measured variable 'diameter at breast height' were developed for the six species, and a general equation was also developed for trees on the plot. The general equation was similar in form to equations developed for tropical rainforests in Brazil and New Guinea. The species equations were applied at the level of families, the generalized equation was applied to the remaining species which allowed the biomass of a total of 680 trees to be calculated. This has provided a current estimate of 270 t ha-1 above-ground biomass at the Australian Canopy Crane site; a value comparable to lowland rainforests in Panama and French Guiana. Using the same tree database seven alternative allometric equations (literature equations for tropical rainforests) were used to calculate the site biomass, the range was large (252-446 t ha-1) with only three equations providing estimates within 34 t ha-1 (12.5%) of the site value. Our use of multiple species-specific allometric equations has provided a site estimate only slightly larger (1%) than that obtained using allometric equations developed specifically for tropical wet rainforests. We have demonstrated that it is possible to non-destructively measure the biomass in a complex forest using an on-site canopy crane. In conjunction the development of crown maps and a detailed tree architecture database allows changes in forest structure to be followed quantitatively. © 2007 Ecological Society of Australia.

Variation in liana abundance and biomass along an elevational gradient in the tropical Atlantic Forest (Brazil)

Lianas play a key role in forest structure, species diversity, as well as functional aspects of tropical forests. Although the study of lianas in the tropics has increased dramatically in recent years, basic information on liana communities for the Brazilian Atlantic Forest is still scarce. To understand general patterns of liana abundance and biomass along an elevational gradient (0-1,100 m asl) of coastal Atlantic Forest, we carried out a standard census for lianas a parts per thousand yen1 cm in five 1-ha plots distributed across different forest sites. On average, we found a twofold variation in liana abundance and biomass between lowland and other forest types. Large lianas (a parts per thousand yen10 cm) accounted for 26-35% of total liana biomass at lower elevations, but they were not recorded in montane forests. Although the abundance of lianas displayed strong spatial structure at short distances, the present local forest structure played a minor role structuring liana communities at the scale of 0.01 ha. Compared to similar moist and wet Neotropical forests, lianas are slightly less abundant in the Atlantic Forest, but the total biomass is similar. Our study highlights two important points: (1) despite some studies have shown the importance of small-scale canopy disturbance and support availability, the spatial scale of the relationships between lianas and forest structure can vary greatly among tropical forests; (2) our results add to the evidence that past canopy disturbance levels and minimum temperature variation exert influence on the structure of liana communities in tropical moist forests, particularly along short and steep elevational gradients.

Deforestation and forest degradation monitoring and assessment of biomass and carbon stock of lowland rainforest in the Analanjirofo region, Madagascar

Madagascar is currently developing a policy and strategies to enhance the sustainable management of its natural resources, encouraged by United Nations Framework Convention on Climate Change (UNFCCC) and REDD. To set up a sustainable financing scheme methodologies have to be provided that estimate, prevent and mitigate leakage, develop national and regional baselines, and estimate carbon benefits. With this research study this challenge was tried to be addressed by analysing a lowland rainforest in the Analanjirofo region in the district of Soanierana Ivongo, North East of Madagascar. For two distinguished forest degradation stages: “low degraded forest” and “degraded forest” aboveground biomass and carbon stock was assessed. The corresponding rates of carbon within those two classes were calculated and linked to a multi-temporal set of SPOT satellite data acquired in 1991, 2004 and 2009. Deforestation and particularly degradation and the related carbon stock developments were analysed. With the assessed data for the 3 years 1991, 2004 and 2009 it was possible to model a baseline and to develop a forest prediction for 2020 for Analanjirofo region in the district of Soanierana Ivongo. These results, developed applying robust methods, may provide important spatial information regarding the priorities in planning and implementation of future REDD+ activities in the area.

Assessing vegetation cover and biomass in restored erosion areas in Iceland using SPOT satellite data

Due to highly erodible volcanic soils and a harsh climate, livestock grazing in Iceland has led to serious soil erosion on about 40% of the country's surface. Over the last 100 years, various revegetation and restoration measures were taken on large areas distributed all over Iceland in an attempt to counteract this problem. The present research aimed to develop models for estimating percent vegetation cover (VC) and aboveground biomass (AGB) based on satellite data, as this would make it possible to assess and monitor the effectiveness of restoration measures over large areas at a fairly low cost. Models were developed based on 203 vegetation cover samples and 114 aboveground biomass samples distributed over five SPOT satellite datasets. All satellite datasets were atmospherically corrected, and digital numbers were converted into ground reflectance. Then a selection of vegetation indices (VIs) was calculated, followed by simple and multiple linear regression analysis of the relations between the field data and the calculated VIs. Best results were achieved using multiple linear regression models for both %VC and AGB. The model calibration and validation results showed that R2 and RMSE values for most VIs do not vary very much. For percent VC, R2 values range between 0.789 and 0.822, leading to RMSEs ranging between 15.89% and 16.72%. For AGB, R2 values for low-biomass areas (AGB < 800 g/m2) range between 0.607 and 0.650, leading to RMSEs ranging between 126.08 g/m2 and 136.38 g/m2. The AGB model developed for all areas, including those with high biomass coverage (AGB > 800 g/m2), achieved R2 values between 0.487 and 0.510, resulting in RMSEs ranging from 234 g/m2 to 259.20 g/m2. The models predicting percent VC generally overestimate observed low percent VC and slightly underestimate observed high percent VC. The estimation models for AGB behave in a similar way, but over- and underestimation are much more pronounced. These results show that it is possible to estimate percent VC with high accuracy based on various VIs derived from SPOT satellite data. AGB of restoration areas with low-biomass values of up to 800 g/m2 can likewise be estimated with high accuracy based on various VIs derived from SPOT satellite data, whereas in the case of high biomass coverage, estimation accuracy decreases with increasing biomass values. Accordingly, percent VC can be estimated with high accuracy anywhere in Iceland, whereas AGB is much more difficult to estimate, particularly for areas with high-AGB variability.

Effects of elevation and land use on the biomass of trees, shrubs and herbs at Mount Kilimanjaro

The protection and sustainable management of forest carbon stocks, particularly in the tropics, is a key factor in the mitigation of global change effects. However, our knowledge of how land use and elevation affect carbon stocks in tropical ecosystems is very limited. We compared aboveground biomass of trees, shrubs and herbs for eleven natural and human-influenced habitat types occurring over a wide elevation gradient (866–4550 m) at the world's highest solitary mountain, Mount Kilimanjaro. Thanks to the enormous elevation gradient, we covered important natural habitat types, e.g., savanna woodlands, montane rainforest and afro-alpine vegetation, as well as important land-use types such as maize fields, grasslands, traditional home gardens, coffee plantations and selectively logged forest. To assess tree and shrub biomass with pantropical allometric equations, we measured tree height, diameter at breast height and wood density and to assess herbaceous biomass, we sampled destructively. Among natural habitats, tree biomass was highest at intermediate elevation in the montane zone (340 Mg ha−1), shrub biomass declined linearly from 7 Mg ha−1 at 900 m to zero above 4000 m, and, inverse to tree biomass, herbaceous biomass was lower at mid-elevations (1 Mg ha−1) than in savannas (900 m, 3 Mg ha−1) or alpine vegetation (above 4000 m, 6 Mg ha−1). While the various land-use types dramatically decreased woody biomass at all elevations, though to various degrees, herbaceous biomass was typically increased. Our study highlights tropical montane forest biomass as important aboveground carbon stock and quantifies the extent of the strong aboveground biomass reductions by the major land-use types, common to East Africa. Further, it shows that elevation and land use differently affect different vegetation strata, and thus the matrix for other organisms.

(Table 1) Biomass and total standing crop of major wet sedge tundra species at five sites at Alexandra Fiord in 1981 and 2005

The global climate is changing rapidly and Arctic regions are showing responses to recent warming. Responses of tundra ecosystems to climate change have been examined primarily through short-term experimental manipulations, with few studies of long-term ambient change. We investigated changes in above- and belowground biomass of wet sedge tundra to the warming climate of the Canadian High Arctic over the past 25 years. Aboveground standing crop was harvested from five sedge meadow sites and belowground biomass was sampled from one of the sites in the early 1980s and in 2005 using the same methods. Aboveground biomass was on average 158% greater in 2005 than in the early 1980s. The belowground biomass was also much greater in 2005: root biomass increased by 67% and rhizome biomass by 139% since the early 1980s. Dominant species from each functional group (graminoids, shrubs and forbs) showed significant increases in aboveground biomass. Responsive species included the dominant sedge species Carex aquatilis stans, C. membranacea, and Eriophorum angustifolium, as well as the dwarf shrub Salix arctica and the forb Polygonum viviparum. However, diversity measures were not different between the sample years. The greater biomass correlated strongly with increased annual and summer temperatures over the same time period, and was significantly greater than the annual variation in biomass measured in 1980-1983. Increased decomposition and mineralization rates, stimulated by warmer soils, were likely a major cause of the elevated productivity, as no differences in the mass of litter were found between sample periods. Our results are corroborated by published short-term experimental studies, conducted in other wet sedge tundra communities which link warming and fertilization with elevated decomposition, mineralization and tundra productivity. We believe that this is the first study to show responses in High Arctic wet sedge tundra to recent climate change.

Effects of light conditions and plant density on growth and reproductive biology of Cascabela thevetia (L.) Lippold

Cascabela thevetia (L.) Lippold (Apocynaceae) is an invasive woody weed that has formed large infestations at several locations in northern Australia. Understanding the reproductive biology of C. thevetia is vital to its management. This paper reports results of a shade house experiment that determined the effects of light conditions (100% or 30% of natural light) and plant densities (one, two, four or eight plants per plot) on the growth, time to flowering and seed formation, and monthly pod production of two C. thevetia biotypes (peach and yellow). Shaded plants were significantly larger when they reached reproductive maturity than plants grown under natural light. However, plants grown under natural light flowered earlier (268 days compared with 369 days) and produced 488 more pods per pot (a 5-fold increase) over 3 years. The yellow biotype was slightly taller at reproductive maturity but significantly taller and with significantly greater aboveground biomass at the end of the study. Both biotypes flowered at a similar time under natural light and low plant densities but the yellow biotype was quicker to seed (478 versus 498 days), produced significantly more pods (364 versus 203 pods) and more shoot growth (577 g versus 550 g) than the peach biotype over 3 years. Higher densities of C. thevetia tended to significantly reduce the shoot and root growth by 981 g and 714 g per plant across all light conditions and biotypes over 3 years and increase the time taken to flower by 140 days and produce seeds by 184 days. For land managers trying to prevent establishment of C. thevetia or to control seedling regrowth once initial infestations have been treated, this study indicates that young plants have the potential to flower and produce seeds within 268 and 353 days, respectively. However, with plant growth and reproduction most likely to be slower under field conditions, annual surveillance and control activities should be sufficient to find and treat plants before they produce seeds and replenish soil seed banks. The most at-risk part of the landscape may be open areas that receive maximum sunlight, particularly within riparian habitats where plants would consistently have more favourable soil moisture conditions.

Remote sensing of boreal land cover: estimation of forest attributes and extent

Remote sensing provides methods to infer land cover information over large geographical areas at a variety of spatial and temporal resolutions. Land cover is input data for a range of environmental models and information on land cover dynamics is required for monitoring the implications of global change. Such data are also essential in support of environmental management and policymaking. Boreal forests are a key component of the global climate and a major sink of carbon. The northern latitudes are expected to experience a disproportionate and rapid warming, which can have a major impact on vegetation at forest limits. This thesis examines the use of optical remote sensing for estimating aboveground biomass, leaf area index (LAI), tree cover and tree height in the boreal forests and tundra taiga transition zone in Finland. The continuous fields of forest attributes are required, for example, to improve the mapping of forest extent. The thesis focus on studying the feasibility of satellite data at multiple spatial resolutions, assessing the potential of multispectral, -angular and -temporal information, and provides regional evaluation for global land cover data. Preprocessed ASTER, MISR and MODIS products are the principal satellite data. The reference data consist of field measurements, forest inventory data and fine resolution land cover maps. Fine resolution studies demonstrate how statistical relationships between biomass and satellite data are relatively strong in single species and low biomass mountain birch forests in comparison to higher biomass coniferous stands. The combination of forest stand data and fine resolution ASTER images provides a method for biomass estimation using medium resolution MODIS data. The multiangular data improve the accuracy of land cover mapping in the sparsely forested tundra taiga transition zone, particularly in mires. Similarly, multitemporal data improve the accuracy of coarse resolution tree cover estimates in comparison to single date data. Furthermore, the peak of the growing season is not necessarily the optimal time for land cover mapping in the northern boreal regions. The evaluated coarse resolution land cover data sets have considerable shortcomings in northernmost Finland and should be used with caution in similar regions. The quantitative reference data and upscaling methods for integrating multiresolution data are required for calibration of statistical models and evaluation of land cover data sets. The preprocessed image products have potential for wider use as they can considerably reduce the time and effort used for data processing.

Potential for increasing carbon sink in Himachal Pradesh, India

In this study, the potential for increasing the tree cover and thereby the biomass and carbon as a mitigation option of three categories of wastelands, irrespective of their tenure, are considered. The area under wastelands in Himachal Pradesh, according to NRSA (2005), is estimated to be 2.83 Mha. Among the 28 categories of wastelands reported by NRSA, only 15 categories exist in Himachal Pradesh. In the present study, three land categories are considered for estimating the mitigation potential. They include: (i) Degraded forestland, (ii) Degraded community land and (iii) Degraded and abandoned private land. Choice of species or the mix of species to be planted on the three land categories considered for reforestation is discussed. Carbon pools considered in the present study are those, which account only for aboveground biomass, belowground biomass and soil organic carbon. This study estimates the mitigation potential at the state level considering land available under more than one category. It also provides a roadmap for future work in support of mitigation analysis and implementation.

农牧交错区不同植物群落的根冠比特征及土壤呼吸日动态的观测研究

本论文对草地群落地上/地下生物量构成、根冠比特征及其影响因子以及土壤呼吸测定方法比较等的国内外研究进展和主要成果进行了综述，在此基础之上对地处我国北方农牧交错带中段的内蒙古多伦县境内的18种草地群落（包括天然草地和人工草地群落）进行了相关内容的研究工作。 在2002年生长季期间，对这18个植物群落中选取的16个进行了群落学调查，测定了其地上、地下生物量，同时测定了土壤含水量、土壤容重、土壤全氮含量和土壤有机质含量。分别分析了地上、地下生物量以及根冠比（root to shoot ratio）与这些立地因子间的相关关系。同期，从18个群落中选定10个代表性群落测定其土壤呼吸速率，测定方法选用了动态红外气体分析法 (Infra red gas analysis， abbreviated as IRGA)和碱液吸收法（Alkali absorption, abbreviated as AA）。对这两种方法的测定结果进行了比较分析，同时分析了不同群落间土壤呼吸变化与土壤水分和养分状况等的相关关系。主要结论如下： ①16种植物群落的地上和地下生物量差异明显，地上生物量变化范围在80~500 g•m-2之间;相比之下，地下生物量的变化范围要大得多，16个群落中地下生物量最小的为猪毛菜群落，最大的为拂子茅群落，分别为533 g•m-2和2590 g•m-2。群落的根冠比在1.5～11.21之间，平均根冠比为 5.69。 ②土壤含水量对地上和地下生物量有着重要的影响，土壤含水量高的样地（羊草样地）较含水量低（小米蒿样地）的样地地上生物量高，反之亦然。但含水量与地下生物量之间的这种关系却不明显，即土壤含水量高的样地其地下生物量并不一定比含水量低的样地地下生物量高;根冠比与土壤含水量之间基本上呈负相关。土壤全氮含量和有机质含量与地上、地下生物量也存在着一定的正相关关系，而土壤容重却与生物量存有负相关关系;根冠比与土壤全氮、有机质和容重的关系正好与此相反，即根冠比与全氮和有机质含量呈负相关，与容重为正相关。 ③10种植物群落土壤呼吸的昼夜变化比较明显，均为单峰型曲线，主要受土壤温度的驱动，但同时也受到当日降水情况和云量、风速等气象因子的较大影响。因此，影响到这些群落土壤呼吸日动态的一致性，使得规律性并不明显。 ④用碱液吸收法和动态密闭气室法测定的10个群落的土壤呼吸速率变化范围分别为394~894mg C•m-2•d-1和313~2043 mg C•m-2•d-1，其中碱液吸收法测定结果平均为动态气室法的67.5%，明显低于动态密闭气室法。 ⑤两种测定方法具有很好的相关性，R2为0.8739。本研究中发现，在土壤呼吸速率低的情况下，两种方法的测定结果十分接近，甚至碱液吸收法的测定结果稍大于动态密闭气室法;而在土壤呼吸速率较高的情况下，动态密闭气室法测定结果则显著高于碱液吸收法。上述结果与国内外同类研究的结果高度一致，从而为校正我们以往采用碱液吸收法在该区域的测定结果提供了可靠依据。 ⑥各个群落间的土壤呼吸变化与立地土壤水分和土壤养分之间存有一定的相关关系，但并不显著，可能与这些群落土壤呼吸测定不是在同一天进行有关。

放牧对内蒙古草原群落和土壤种子库的影响及两者关系的研究

选取内蒙古草原三种主要草原类型（草甸草原、典型草原和荒漠草原）代表性群落羊草杂类草群落、羊草群落和大针茅群落、小针茅群落，应用样线法沿水分梯度研究放牧对内蒙古草原不同植物群落功能群组成、多样性、生产力以及多样性与生产力关系的影响和放牧对土壤种子库组成、大小以及多样性的影响，在此基础上，研究土壤种子库与地上植被间的关系。主要结论如下： 1 放牧对植物群落的影响 荒漠草原的放牧演替规律为小针茅群落→猪毛菜 + 小针茅群落→猪毛菜群落;典型草原为羊草或大针茅群落→糙隐子草 + 大针茅群落或克氏针茅群落→星毛委陵菜 + 糙隐子草群落;草甸草原为羊草杂类草群落→羊草 + 贝加尔针茅群落，这是不同物种对牧压的不同适应结果造成的。 放牧使4种草原群落生活型功能群组分间发生强烈的生态替代作用，但不同的群落生态替代模式不同：放牧使小针茅群落多年生丛生禾草作用减弱，一二年生草本作用增强;羊草群落和大针茅群落多年生丛生禾草、多年生根茎禾草作用减弱，多年生杂类草作用增强;羊草杂类草群落多年生根茎禾草作用减弱，多年生丛生禾草作用增强。放牧使非旱生和C3植物作用减弱，而旱生、C4植物作用增强。 放牧对4种群落物种和功能群多样性的影响随不同的群落而表现不同：物种丰富度、物种多样性、生活型多样性 和水分生态类型多样性除羊草杂类草群落外随放牧强度的加大而降低，但适度放牧增加了羊草杂类草群落的上述多样性指标。 群落地上现存量一般随放牧强度的增大而下降，但小针茅群落反之，主要与一年生植物猪毛菜的生物量迅速增加有关。除羊草群落外，0~10 cm 地下生物量随放牧强度的变化不显著;除大针茅群落外，放牧显著降低0~30 cm 地下生物量。 放牧影响下内蒙古草原植物群落生物量随水分生态类型多样性的升高而升高，其回归方程为：Y = 809 + 774x （R2=0.84, P<0.001），其中Y代表群落地上现存量和地下生物量之和，x代表群落水分生态类型多样性。 2 放牧对土壤种子库的影响 小针茅群落、大针茅群落、羊草群落和羊草杂类草群落土壤种子库组成中均以多年生杂类草为主，分别占各自群落种子库总物种数的40%、52%、54%和67%。 生活型功能群种子库密度除羊草杂类草群落外，均以一二年生草本占优势。中度放牧升高了除小针茅群落外多年生禾草种子库密度;放牧增大了小针茅群落和羊草杂类草群落一二年生草本种子库密度;除羊草杂类草群落外，放牧对多年生杂类草种子库密度影响不大;总种子库组成中，灌木半灌木和小半灌木种子库密度不大，不随取样时间和牧压而变化。 中度放牧种子库总密度最大，小针茅群落在重度放牧最大，主要是由于猪毛菜种子库密度在重度放牧突增所致。总体上，内蒙古草原4种群落在不同取样时间不同牧压下种子库总密度波动在20.8~3819.2粒/m2。 土壤种子库物种丰富度最大值一般出现在10月份，除羊草杂类草群落外，不放牧群落较放牧群落为高，中度放牧使羊草杂类草群落土壤种子库物种丰富度增加。中度放牧增加了小针茅群落、大针茅群落7月份和羊草杂类草群落各取样时间土壤种子库物种多样性。 3 地上植被与土壤种子库的关系 土壤种子库的优势种在特定时间特定放牧强度下与地上现有植被优势种一致，但一致率仅为三次取样时间不同放牧强度下总体的23.3%。 地上植被与土壤种子库物种组成相似性指数受不同取样时间的影响，一般的10月取样最大。不同放牧强度对二者间的相似性亦有影响，中度放牧提高了小针茅群落、羊草杂类草群落各取样时间和大针茅群落、羊草群落4月份的相似性指数。隔年二次萌发法提高了二者间的相似性水平。总体上相似性指数变动在0.1~0.75之间。 地上植被现存量、总密度与各取样时间土壤种子库总密度之间不存在显著的相关性。 4 对于估计土壤种子库密度、物种组成和确定种子库与地上植被间的关系，隔年二次萌发法对于弥补直接萌发法本身所具有的不足不失为一种有益的尝试。

内蒙古高原成熟和退化羊草草原群落物种功能特性与土壤微生物量C、N、P对氮素添加响应

氮素是大多数陆地生态系统初级生产力的主要限制因子。由于人类的工业和农业生产活动不断加剧，导致全球性氮沉降增加，使大多数生态系统氮素的可获得性增强。从而降低或消除了氮素对生态系统的限制作用，加速了生态系统生物地球化学过程，对物种多样性和生态系统结构与功能产生了显著的影响。但由于成土母质、气候条件、地形地貌、植被组成等的差异，不同生态系统类型对氮素增加的响应也不尽相同。欧洲和北美一些发达国家地区对于草地生态系统对于全球性氮沉降增加响应进行了较全面的研究，对于分布广泛的欧亚大陆草原研究相对不足。 本文研究选择对于欧亚大陆草原较具代表性的成熟羊草草原群落及该群落的退化类型为研究对象，从1999年开始，在这两类群落中选取地形相对平缓均一，植被组成一致的地段设置了施肥小区并进行持续氮素添加实验。本文研究了成熟和退化羊草草原群落物种功能特性与土壤微生物量C、N、P对氮素添加响应。 羊草群落中6种主要植物的地上生物量、种群密度、比叶面积、叶氮和叶绿素含量对于氮素添加响应以及各指标之间相关关系的分析表明：比叶面积、基于质量的叶片含氮量和叶绿素含量、叶绿素a和叶绿素b的比值等叶片水平上物种功能特性间的相互作用，共同影响和决定了种群密度和地上生物量对氮素添加的响应。羊草通过提高比叶面积、叶片叶绿素含量和含氮量、种群密度及个体生物量等多重调节功能对氮素添加做出响应。西伯利亚羽茅主要通过提高比叶面积、单位质量叶片的叶绿素含量和含氮量，以及株丛生物量，使其在群落占据优势。大针茅和冰草在提高比叶面积、叶片叶绿素含量和含氮量的调节能力相对较低，种群密度沿氮素添加梯度显著降低。黄囊苔草只能通过提高叶片叶绿素含量和含氮量对氮素添加做出响应，其叶绿素a与叶绿素b的比值沿氮素添加梯度逐渐降低，种群密度和地上生物量也显著降低。糙隐子草的叶绿素a与叶绿素b比值沿氮素添加梯度显著降低，但由于糙隐子草具有较高的SLA，且对叶绿素、叶片含氮量的调节能力较强，氮素添加处理没有对其种群密度和地上生物量产生显著的影响。上述结果支持Tilman的光资源竞争假说和Knops等的物种替代假说。 成熟和退化羊草群落土壤微生物量、土壤有机碳、全氮、全磷、速效氮、pH以及凋落物碳、氮、磷含量的测定结果表明：（1）成熟羊草群落表层土壤微生物量碳、氮、磷含量均随氮素添加量的增加而降低;退化羊草群落表层土壤微生物量碳、氮、磷含量沿氮素梯度表现出先增加而后降低的趋势;相关分析的结果显示各群落土壤微生物量碳、氮、磷均与土壤pH呈显著的正相关。（2）微生物量碳、氮、磷含量均随土层深度的增加而下将;而对照的微生物量碳、氮、磷含量则与土壤有机质含量呈显著正相关。（3）年度间降水量差异对土壤微生物量碳、氮、磷具有较大影响。综合上述研究结果，我们认为成熟羊草群落土壤微生物生长不受氮素限制，但退化群落不同;氮素添加导致的土壤酸化作用可能是两类群落表层土壤微生物量下降的主要因素，且这种影响主要集中在0-10cm的表层土壤;表层土壤微生物量碳、氮、磷对氮素添加的响应可能还受到其它因子（如生长季降水量）的影响;深层土壤微生物量较低主要是由于土壤有机质含量较低的缘故。