植被光合呼吸模型在千烟洲亚热带常绿针叶林的优化及验证

碳循环模型参数的确定和优化对生态系统净CO₂交换(NEE)的模型计算至关重要。该文利用2010-2012年ChinaFLUX千烟洲站点的通量观测资料, 对植被光合呼吸模型(VPRM)的参数进行了优化。通过比较两种不同的拟合方案, 发现利用传统光响应方程得到的参数不适用于VPRM, 而利用模型自身反演方案拟合得到的参数最大光量子效率(λ)达0.203, 大于C₃植物平均值, 但与其他相关研究结果吻合。采用VPRM模型反演方案优化得到的参数后, VPRM能较准确地模拟千烟洲站不同季节的NEE。其对全年半小时NEE模拟的平均误差为-0.86 μmol·m^-2·s^-1, 相关系数为0.72。模型可准确地模拟生长旺季NEE平均日变化, 但低估了非生长旺季白天吸收峰值约52%。通过个例分析发现, VPRM模型可以准确模拟晴天条件下NEE的时间变化, 但对阴雨天条件下NEE的模拟还存在较大的不确定性。该研究将有助于进一步改进CO₂通量及浓度的区域数值模拟。     

植被光合呼吸模型在长白山温带阔叶红松林的优化及验证

植被光合呼吸模型(VPRM)关键参数的确定和优化是准确计算生态系统净CO_2交换(NEE)的基础。利用中国通量观测研究联盟(China FLUX)长白山站温带阔叶红松林2005年的通量观测资料,对VPRM的4个参数(最大光能利用率ε_0、光照为半饱和条件下光合有效辐射值PAR0和呼吸参数(α、β))进行优化,并使用2006年的观测资料对参数优化前后的模拟结果进行评估。结果表明:参数优化后,VPRM能够较好地模拟长白山地区2006年植物生长季NEE的变化。对30min NEE模拟的平均误差为-1.81μmol m~(-2)s~(-1),相关系数为0.72,模拟NEE平均日变化的峰值约为观测值的91%,相关系数为0.97。但在植物非生长季模型对森林NEE的模拟效果较差。模型模拟30min NEE的平均误差为0.39μmol m~(-2)s~(-1),相关系数仅为0.10,并且模拟低估NEE平均日变化白天吸收峰值约82%,日变化模拟值与观测值的相关系数为0.50。通过分析不同天气个例,发现模型可以较好地模拟晴天条件下NEE的变化,而对阴雨天NEE的模拟误差较大。该研究有利于提高VPRM模型对温带落叶阔叶林NEE的模拟能力,对进一步改进区域陆地NEE的模拟具有重要意义。     

Acclimation of the respiration/photosynthesis ratio to temperature: insights from a model

Based on short-term experiments, many plant growth models – including those used in global change research – assume that an increase in temperature stimulates plant respiration (R) more than photosynthesis (P), leading to an increase in the R/P ratio. Longer-term experiments, however, have demonstrated that R/P is relatively insensitive to growth temperature. We show that both types of temperature response may be reconciled within a simple substrate-based model of plant acclimation to temperature, in which respiration is effectively limited by the supply of carbohydrates fixed through photosynthesis. The short-term, positive temperature response of R/P reflects the transient dynamics of the nonstructural carbohydrate and protein pools; the insensitivity of R/P to temperature on longer time-scales reflects the steady-state behaviour of these pools. Thus the substrate approach may provide a basis for predicting plant respiration responses to temperature that is more robust than the current modelling paradigm based on the extrapolation of results from short-term experiments. The present model predicts that the acclimated R/P depends mainly on the internal allocation of carbohydrates to protein synthesis, a better understanding of which is therefore required to underpin the wider use of a constant R/P as an alternative modelling paradigm in global change research.     

Basal rates of soil respiration are correlated with photosynthesis in a mixed temperate forest

Many field studies have demonstrated that soil temperature explains most of the temporal variation in soil respiration (SR). However, there is increasing evidence to suggest that SR is also influenced by current, or recent, photosynthate. Accordingly, seasonal changes in SR nominally attributed to temperature may, in part, be due to seasonality in photosynthesis. Within a mixed coniferous–deciduous temperate forest, we measured SR and used the process model SECRETS to test whether seasonal changes in photosynthesis influence seasonal differences in SR. Measurements were made in six adjacent plots (from pure evergreen to pure deciduous) that exhibited a gradient in the seasonality of photosynthesis. Within all six plots, we found strong correlations between the basal rate of SR (BR; defined as the SR at 10°C) and modeled photosynthesis (i.e. gross primary productivity; GPP). Moreover, we observed larger seasonal changes in BR in those plots that exhibited larger seasonal changes in photosynthesis, as compared with plots with smaller changes in photosynthesis. This is relevant because estimates of the Q₁₀ of SR (Q₁₀ is the relative change in a process rate per temperature change of 10°C) typically assume a constant BR. Our results therefore support the hypothesis that differences in the apparent Q₁₀ of SR (apparent Q₁₀=Q₁₀ derived from field measurements of SR and temperature) among studies may, in large part, be related to seasonal differences in photosynthesis. We suggest that variation in stand structure and species composition and, thus, in the photosynthetic signatures, induce different seasonal changes in BR via differences in the belowground supply of labile carbon. If these seasonal changes in BR are not properly accounted for, fitted apparent Q₁₀ values may not express the temperature response of respiratory processes in the soil.     

Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

The eddy covariance (EC) technique is used to measure the net ecosystem exchange (NEE) of CO₂ between ecosystems and the atmosphere, offering a unique opportunity to study ecosystem responses to climate change. NEE is the difference between the total CO₂ release due to all respiration processes (RECO), and the gross carbon uptake by photosynthesis (GPP). These two gross CO₂ fluxes are derived from EC measurements by applying partitioning methods that rely on physiologically based functional relationships with a limited number of environmental drivers. However, the partitioning methods applied in the global FLUXNET network of EC observations do not account for the multiple co‐acting factors that modulate GPP and RECO flux dynamics. To overcome this limitation, we developed a hybrid data‐driven approach based on combined neural networks (NN_C‐part). NN_C‐part incorporates process knowledge by introducing a photosynthetic response based on the light‐use efficiency (LUE) concept, and uses a comprehensive dataset of soil and micrometeorological variables as fluxes drivers. We applied the method to 36 sites from the FLUXNET2015 dataset and found a high consistency in the results with those derived from other standard partitioning methods for both GPP (R² > .94) and RECO (R² > .8). High consistency was also found for (a) the diurnal and seasonal patterns of fluxes and (b) the ecosystem functional responses. NN_C‐part performed more realistic than the traditional methods for predicting additional patterns of gross CO₂ fluxes, such as: (a) the GPP response to VPD, (b) direct effects of air temperature on GPP dynamics, (c) hysteresis in the diel cycle of gross CO₂ fluxes, (d) the sensitivity of LUE to the diffuse to direct radiation ratio, and (e) the post rain respiration pulse after a long dry period. In conclusion, NN_C‐part is a valid data‐driven approach to provide GPP and RECO estimates and complementary to the existing partitioning methods.     

Plant growth and respiration re-visited: maintenance respiration defined - it is an emergent property of, not a separate process within, the system - and why the respiration : photosynthesis ratio is conservative

Background and Aims

Plant growth and respiration still has unresolved issues, examined here using a model. The aims of this work are to compare the model''s predictions with McCree''s observation-based respiration equation which led to the ‘growth respiration/maintenance respiration paradigm’ (GMRP) – this is required to give the model credibility; to clarify the nature of maintenance respiration (MR) using a model which does not represent MR explicitly; and to examine algebraic and numerical predictions for the respiration:photosynthesis ratio.

Methods

A two-state variable growth model is constructed, with structure and substrate, applicable on plant to ecosystem scales. Four processes are represented: photosynthesis, growth with growth respiration (GR), senescence giving a flux towards litter, and a recycling of some of this flux. There are four significant parameters: growth efficiency, rate constants for substrate utilization and structure senescence, and fraction of structure returned to the substrate pool.

Key Results

The model can simulate McCree''s data on respiration, providing an alternative interpretation to the GMRP. The model''s parameters are related to parameters used in this paradigm. MR is defined and calculated in terms of the model''s parameters in two ways: first during exponential growth at zero growth rate; and secondly at equilibrium. The approaches concur. The equilibrium respiration:photosynthesis ratio has the value of 0·4, depending only on growth efficiency and recycling fraction.

Conclusions

McCree''s equation is an approximation that the model can describe; it is mistaken to interpret his second coefficient as a maintenance requirement. An MR rate is defined and extracted algebraically from the model. MR as a specific process is not required and may be replaced with an approach from which an MR rate emerges. The model suggests that the respiration:photosynthesis ratio is conservative because it depends on two parameters only whose values are likely to be similar across ecosystems.     

基于像元三分模型的锡林郭勒草原光合植被和非光合植被覆盖度估算

定量的估算草原光合植被覆盖度(f_(PV))和非光合植被覆盖度(f_(NPV))对草原畜牧业和土地荒漠化具有重要的意义。以锡林郭勒盟西乌珠穆沁旗为研究区,以MODIS 500 m分辨率地表反射率产品MOD09GHK为数据源,采用干枯燃料指数(DFI)指数构建NDVI-DFI像元三分模型估算了锡林郭勒草原的fPV和f_(NPV),并分析了锡林郭勒草原fPV和f_(NPV)的动态变化。研究结果表明:锡林郭勒草原NDVI-DFI特征空间表现为三角形,与理论上的概念模型基本一致,符合像元三分模型的基本假设;NDVI-DFI像元三分模型适用于对草原黄枯期_(NPV)的监测,对草原生长期_(NPV)监测并不十分敏感;利用NDVI-DFI像元三分模型估算的fPV和f_(NPV)动态变化与牧草物候发育特征相吻合,可以有效的估算典型草原地区fPV和f_(NPV)值,进一步将其应用于长时间序列的典型草原fPV和f_(NPV)动态变化分析。     

A model of canopy photosynthesis incorporating protein distribution through the canopy and its acclimation to light, temperature and CO2

Background and Aims

The distribution of photosynthetic enzymes, or nitrogen, through the canopy affects canopy photosynthesis, as well as plant quality and nitrogen demand. Most canopy photosynthesis models assume an exponential distribution of nitrogen, or protein, through the canopy, although this is rarely consistent with experimental observation. Previous optimization schemes to derive the nitrogen distribution through the canopy generally focus on the distribution of a fixed amount of total nitrogen, which fails to account for the variation in both the actual quantity of nitrogen in response to environmental conditions and the interaction of photosynthesis and respiration at similar levels of complexity.

Model

A model of canopy photosynthesis is presented for C₃ and C₄ canopies that considers a balanced approach between photosynthesis and respiration as well as plant carbon partitioning. Protein distribution is related to irradiance in the canopy by a flexible equation for which the exponential distribution is a special case. The model is designed to be simple to parameterize for crop, pasture and ecosystem studies. The amount and distribution of protein that maximizes canopy net photosynthesis is calculated.

Key Results

The optimum protein distribution is not exponential, but is quite linear near the top of the canopy, which is consistent with experimental observations. The overall concentration within the canopy is dependent on environmental conditions, including the distribution of direct and diffuse components of irradiance.

Conclusions

The widely used exponential distribution of nitrogen or protein through the canopy is generally inappropriate. The model derives the optimum distribution with characteristics that are consistent with observation, so overcoming limitations of using the exponential distribution. Although canopies may not always operate at an optimum, optimization analysis provides valuable insight into plant acclimation to environmental conditions. Protein distribution has implications for the prediction of carbon assimilation, plant quality and nitrogen demand.     

Under slow flow conditions,daily rates of canopy photosynthesis of marine macrophytes were insensitive to model choice and flow‐rate

Water motion drives the flux of suspended and dissolved material (e.g., nutrients, gametes, and dissolved oxygen) to and from macrophyte canopies, and is one of the most important mechanisms that can regulate the growth, survival, and persistence of marine macrophytes populations. At small spatial scales (e.g., lamina or leaves and individuals), increasing flow‐rates have been demonstrated to enhance physiological processes, especially photosynthesis rates, and we expected a similar response at the canopy scale. We conducted seven experiments over 25 days using a pair of open‐air flow‐chambers under natural light, temperature, and seawater conditions. In the four marine macrophyte (Sargassum piluliferum, S. siliquastrum, S. thunbergii, and Zostera marina) canopies examined, an increase in flow‐rate did not enhance photosynthesis rates. The odds that daily gross photosynthesis rates increase with a decrease in flow‐rates was 1.77 to 1. We also examined if two non‐linear equations and one linear equation, often used to describe the relationship between photosynthesis to photosynthetic photon flux density (PPFD), biased estimates of the daily rates of photosynthesis and respiration. It was revealed that the functional form of the equation strongly influenced photosynthesis and respiration rate estimates at short time scales (i.e., minutes), however, daily rates were insensitive to the type of equation used to model the relationship between photosynthesis and PPFD. We suggest that the predominance of photosynthesis rates occurring in under‐saturating PPFD conditions (> 40 % of daylight hours) may be one of the reasons for this insensitivity.     

植被综合生态质量时空变化动态监测评价模型

为了能掌握全国植被综合生态质量的高低及其时空变化,构建了既能反映植被生产力又能反映植被覆盖度的植被综合生态质量指数,建立了植被综合生态质量指数年际对比和多年变化趋势评价模型。利用构建的指数和评价模型,以2017年作为监测评价的当年,以2000—2017年作为评价的多年时段,对全国植被综合生态质量时空变化进行了监测评价。结果表明：（1）2017年全国大部地区植被综合生态质量指数高于2000—2016年多年平均值,生态质量偏好;2017年福建、广西、海南、广东、云南植被综合生态质量位居全国前五位,构建的植被综合生态质量指数及其年际对比模型可以定量反映全国植被综合生态质量的空间差异和年际差异。（2）全国有90.7%的区域2000—2017年植被综合生态质量指数呈提高趋势,东北地区西部、内蒙古东部、华北大部、西北地区东部、西南地区东部、华南西部等地生态质量指数提升明显,构建的植被综合生态质量指数多年变化趋势评价模型可以定量反映植被生态质量的多年变化趋势和幅度。（3）南方大部地区2000—2017年平均年植被综合生态质量指数在50.0以上,北方大部地区在50.0以下;我国中东部大部地区在20.0以上,西部大部地区在20.0以下,表明南方大部地区年植被生态质量好于北方、中东大部好于西部。可见,构建的植被综合生态质量指数及其年际对比和多年变化趋势评价模型,能够监测评价当年和多年全国植被综合生态质量的时空变化,可为掌握全国植被生态质量动态提供模型和方法。     

原始兴安落叶松林生长季净生态系统CO2交换及其光响应特征

对2006-2008年寒温带原始兴安落叶松林生长季(6-10月份)生态系统CO2交换及其影响因素的分析表明：净生态系统CO2交换(NEE)呈单峰型曲线,最大值出现在9:00-10:00。兴安落叶松林的NEE在生长季前期(6-8月份)呈净碳吸收,生长季末期(9-10月份)呈碳排放。生长季6、7\,8月份的NEE平均值分别为-0.082、-0.082\,-0.061 mgCO2 ?m-2 ?s-1,生长季末期9\,10月份的NEE平均值分别为0.009\,0.014 mgCO2 ?m-2 ?s-1。6-10月份原始兴安落叶松林生长季每天的固碳时间从14h(5:00-19:00)逐渐缩短为9h(7:30-16:30)。从不同温度下NEE光响应特征可知,原始兴安落叶松林NEE最适气温是20-30 ℃,NEE最大值为-0.43 mgCO2 ?m-2 ?s-1。     

基于FLUXNET观测数据与VPM模型的森林生态系统光合作用关键参数优化及验证

生态系统总初级生产力(GPP)是全球生态系统碳循环研究的重要组成部分.植被最大光能利用率(ε_max)是陆地生态系统GPP模拟的关键参数.本文基于植被光合模型(VPM)和全球通量网(FLUXNET)40个站点(179条站点年数据)的涡度相关通量观测数据,采用单因素轮换法对VPM模型进行参数敏感性分析,并利用交叉验证法对全球森林生态系统的光合作用关键参数进行优化和验证.结果表明:森林生态系统GPP模型受ε_max、光合最高温度(T_max)以及光合最适温度(T_opt)的影响最大;优化后的ε_max在不同植被类型之间存在明显差异,介于0.05～0.08 μmol CO₂·μmol^-1 PAR,常绿阔叶林>常绿针叶林>混交林>落叶阔叶林;优化后的森林生态系统T_max为38～48 ℃,T_opt为18～22 ℃;利用分植被类型优化后的模型关键参数,VPM模型可较好地模拟全球主要森林生态系统GPP的季节和年际变化.     

土地利用约束下中国东部南北样带生产力和植被分布对全球变化的响应

对现有的区域植被动态模拟模型进行了改进,使之包含了土地利用分布格局对植被和生态系统相关过程的影响。改进后的模型被用地研究中国东部南北样带(NSTEC)植被和净第一性生产力对未来气候变化的响应。模拟结果显示土地利用格局对未来气候条件下植被分布的变迁和生产力形成过程有非常显著的影响。与没有土地利用约束的情形相比较,土地利用作为限制条件缓减了植被类型之间的竞争,从而减少了模拟的样带区域内常绿阔叶林,但增加了模拟灌木和草地的分布。土地利用约束使得模拟得到的当前条件下的净第一性生产力更为接近实际情况,且未来气候条件下的生产力改变量更为可信。对未来CO2倍增条件下7个大气环流模型预测的气候情景的模拟结果表明：落叶阔叶林将显著增加,但针叶林、灌木和草原的分布将下降。未来气候条件下NSTEC样带的净第一性生产力总量将增加。预测样带北部的净第一性生产力的变化范围大于样带南部。温度变化比降水变化对样带的生产力具有更强的控制。     

Diurnal changes in leaf gas exchange and validation of a mathematical model for coffee (<Emphasis Type="Italic">Coffea arabica</Emphasis> L.) canopy photosynthesis

Diurnal variations in net photosynthetic rate (P _N), transpiration rate (E), stomatal conductance (g _s), internal CO₂ concentration (C _i), and water use efficiency (WUE) were studied on individual leaves of coffee plants to determine the effect of climatic factors on photosynthetic capacity. P _N and E showed bimodal behaviour with the maximum values of P _N at mid-morning. At noon, under saturating photosynthetically active radiation (PAR) and high leaf temperature (T _l), P _N declined. In the afternoon (14:00), P _N slightly recovered in association with a decrease in Tl and in leaf-to-air vapour pressure deficit (VPD). Reductions in E during the morning were associated with decreases in g _s. Higher WUE in the morning was related to higher P _N and lower E. The reverse occurred in the afternoon. Goudriaan's simulation model, adapted for coffee canopy photosynthesis, was tested at the level of whole plant (P _pl). Three methods were used: (a) Whole plant net photosynthesis (P _pl) under semi-controlled conditions in a chamber. (b) P _pl estimation following Goudriaan's method (Gaussian integration) of instantaneous P _N in single leaves at three canopy depths and at three different hours assuming a photosynthesis unimodal behaviour. (c) P _pl using Goudriaan's method but at five different hours according to the bimodal behaviour reported above. Results of P _pl estimates using Goudriaan's model adapted for coffee canopy confirm the observed P _pl bimodal behaviour with high fitness degree of the measured whole plant photosynthesis. The high fitness found among observed and simulated data indicates that the modified model may be used as a subroutine for the general simulation model of coffee crop growth.     

基于Hyperion的锡林郭勒草原光合植被、非光合植被覆盖度估算

掌握草原生态系统光合植被覆盖度(fPV)与非光合植被覆盖度(fNPV)时空动态对了解干旱半干旱草原生态系统特征(覆盖状况、火灾负载、载畜量、干扰及恢复等)及进行科学、有效地草地资源管理具有重要的意义。选取锡林郭勒典型草原为试验区,以Hypeiron高光谱数据为数据源,利用NDVI-CAI三元线性混合模型对试验区fPV和fNPV的时空动态分布进行了估算,并对不同端元选择方法(最小包含端元特征法、纯净象元指数法和实测法)对估算结果的影响进行了比较分析。研究结果表明,NDVI-CAI三元线性混合模型是同时估测锡林郭勒草原fPV和fNPV的有效方法,且估算的fPV和fNPV的季节变化与牧草的物候发育特征相吻合。不同端元选择方法对估算精度具有一定的影响,其中基于最小包含端元特征法提取端元进行估算的精度最高,fPV估算的均方根误差RMSE=4.57,估算精度EA=91.2%;fNPV估算的RMSE=5.90,EA=67.91%(样本数N=52)。     

阴天和晴天对黄河三角洲芦苇湿地净生态系统CO2交换的影响

云量以及大气气溶胶含量变化引起的阴天和晴天会对局地的微气候环境产生综合效应, 影响地面接收的太阳辐射强度, 同时引起环境因子的变化, 最终对净生态系统CO₂交换(NEE)产生影响。该文通过涡度相关系统以及微气象梯度观测系统, 对黄河三角洲芦苇(Phragmites australis)湿地NEE以及环境要素进行了观测。在自然条件下选择12对相邻阴天和晴天数据, 在生物要素(生物量、叶面积指数)、土壤水分以及养分特征保持不变的前提下, 揭示了阴天和晴天变化对湿地生态系统NEE的光响应和温度响应的影响。结果表明: 12对阴天和晴天生态系统NEE的日平均动态均呈“U”型曲线, 但阴天NEE的变幅较小。晴天条件下湿地生态系统NEE的日均值显著高于阴天(p < 0.01)。阴天和晴天湿地生态系统NEE与光合有效辐射(PAR)之间均呈直角双曲线关系, 但晴天条件下, 最大光合速率(A_max)显著大于阴天(p < 0.01), 同时白天生态系统呼吸(R_eco,daytime)也显著大于阴天(p < 0.01)。不论阴天还是晴天, R_eco,daytime与气温均呈显著的指数关系。晴天湿地生态系统呼吸的温度敏感系数Q₁₀ (5.5)远大于阴天(1.9)。阴天和晴天昼间PAR差值以及气温差值对NEE差值的协同影响达到63%。     

Modelling the vegetation of China using the process-based equilibrium terrestrial biosphere model BIOME3

1 We model the potential vegetation and annual net primary production (NPP) of China on a 10′ grid under the present climate using the processed‐based equilibrium terrestrial biosphere model BIOME3. The simulated distribution of the vegetation was in general in good agreement with the potential natural vegetation based on a numerical comparison between the two maps using the ΔV statistic (ΔV = 0.23). Predicted and measured NPP were also similar, especially in terms of biome‐averages. 2 A coupled ocean–atmosphere general circulation model including sulphate aerosols was used to drive a double greenhouse gas scenario for 2070–2099. Simulated vegetation maps from two different CO₂ scenarios (340 and 500 p.p.m.v.) were compared to the baseline biome map using ΔV. Climate change alone produced a large reduction in desert, alpine tundra and ice/polar desert, and a general pole‐ward shift of the boreal, temperate deciduous, warm–temperate evergreen and tropical forest belts, a decline in boreal deciduous forest and the appearance of tropical deciduous forest. The inclusion of CO₂ physiological effects led to a marked decrease in moist savannas and desert, a general decrease for grasslands and steppe, and disappearance of xeric woodland/scrub. Temperate deciduous broadleaved forest, however, shifted north to occupy nearly half the area of previously temperate mixed forest. 3 The impact of climate change and increasing CO₂ is not only on biogeography, but also on potential NPP. The NPP values for most of the biomes in the scenarios with CO₂ set at 340 p.p.m.v. and 500 p.p.m.v. are greater than those under the current climate, except for the temperate deciduous forest, temperate evergreen broadleaved forest, tropical rain forest, tropical seasonal forest, and xeric woodland/scrub biomes. Total vegetation and total carbon is simulated to increase significantly in the future climate scenario, both with and without the CO₂ direct physiological effect. 4 Our results show that the global process‐based equilibrium terrestrial biosphere model BIOME3 can be used successfully at a regional scale.     

Effects of fire disturbance on the soil physical and chemical properties and vegetation of Pinus massoniana forest in south subtropical area

A variety of studies on the impact of fire disturbance on ecosystems has shown that the physical and chemical properties of soil after fire disturbance change notably. Meanwhile, little is known about the effects of different fire intensities on the soil properties and vegetation after fire disturbance, especially in the south subtropical area. In this paper, we analyzed the soil physical and chemical properties, vegetation species and species diversity of fire center, fire edge (which was burned a year ago) and non-burned Pinus massoniana plantation in Gaoyao, Guangdong province, China. The results showed that the soil conductivity, water content, total nitrogen, total potassium, and available potassium content of fire center were significantly higher than those of the non-burned land, and pH was higher than that of fire edge, whereas the available nitrogen, total phosphorus and organic matter content were much lower, which were generally existed in 0–10 cm soil layer and 10–30 cm soil layer. Changes of the soil properties of fire edge were similar with those of fire center, but less significant, and seemed to be more complex. Effects of burning on the vegetation of fire disturbance plots were found to be notable, species number and average height of plants of fire disturbance plots were lower than those of the non-burned plots, a difference of species diversity and uniformity were also shown, and finally, the composition of plant community also changed, e.g., pioneer species such as D. dichotoma, etc., dominated, and drought-resistant plants, heat-resistant plants and positive plants increased after burning.