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1.
IntroductionMethane (CH4) and Nitrous oxide (NZO) are tWoimportant greenhouse gases that also play an important role in photochemical reactions in atmosphere.The global warming potential of CH4 and NZO areestimated tO be about 62 and 290 times that of carbon dioxide respeCtively. The concentration of thesegases have been increasing rapidly since the start ofthe industrial age, currently at rate of about 1% and0.25% per year respeCtively (Lelieveld et al. 1993),and 70%-90% of these gases …  相似文献   

2.
The role of forest fires in the soil dynamics and global carbon cycle has not been comprehensively studied in tropical forests as the effects of fire on tropical forest soils can be extremely variable. This study was aimed to understand how repeated fires affect physical and chemical properties of soil in a tropical dry deciduous forest and alter soil fertility and health. The study was carried out in the dry deciduous forest of Mudumalai Tiger Reserve. Soil samples were collected from unburned (B0) to six-time burned (B6) plots. Samples were collected from each plot from three different depths viz. 0–10 (Top), 10–20 (Middle), and 20–30 cm (Bottom) and analyzed for soil physical and chemical properties. Soil pH, EC, WHC decreased with increasing fire frequencies while bulk density increased. Organic Carbon, Total N, and available P decreased with increasing fire frequencies whereas extractable K initially increased but decreased with the very high frequency of fires. NO3?N slightly decreased with high fire frequencies but NH4?N decreased significantly with increasing fire frequency. These results provide a new insight regarding the influence of repeated fires on soil that will be valuable to understand the effect of fire on the recovery of soils and nutrient dynamics.  相似文献   

3.
Next to CO2, methane (CH4) is the second important contributor to global warming in the atmosphere and global atmospheric CH4 budget depends on both CH4 sources and sinks. Unsaturated soil is known as a unique sink for atmospheric CH4 in terrestrial ecosystem. Many comparison studies proved that forest soil had the biggest capacity of oxidizing atmospheric CH4 in various unsaturated soils. However, up to now, there is not an overall review in the aspect of atmospheric CH4 oxidation (consumption) in forest soil. This paper analyzed advances of studies on the mechanism of atmospheric CH4 oxidation, and related natural factors (Soil physical and chemical characters, temperature and moisture, ambient main greenhouse gases concentrations, tree species, and forest fire) and anthropogenic factors (forest clear-cutting and thinning, fertilization, exogenou saluminum salts and atmospheric deposition, adding biocides, and switch of forest land use) in forest soils. It was believed that OH4 consumption rate by forest soil was limited by diffusion and sensitive to changes in water status and temperature of soil.CH4 oxidation was also particularly sensitive to soil C/N, Ambient CO2, CH4 and N2O concentrations, tree species and forest fire.In most cases, anthropogenic disturbances will decrease atmospheric CH4 oxidation, thus resulting in the elevating of atmos-pheric CH4. Finally, the author pointed out that our knowledge of atmospheric CH4 oxidation (consumption) in forest soil was insufficient. In order to evaluate the contribution of forest soils to atmospheric CH4 oxidation and the role of forest played in the process of global environmental change, and to forecast the trends of global warming exactly, more researchers need to studiesfurther on CH4 oxidation in various forest soils of different areas.  相似文献   

4.
Soil samples were taken from depth of 0–12 cm in the virgin broad-leaved/Korean pine mixed forest in Changbai Mountain in April, 2000. 20 μL·L−1 and 200 μL·L−1 CH4 and N2O concentration were supplied for analysis. Laboratory study on CH4 oxidation and N2O emission in forest soil showed that fresh soil sample could oxidize atmospheric methane and product N2O. Air-dried soil sample could not oxidize atmospheric methane, but could product N2O. However, it could oxidize the supplied methane quickly when its concentration was higher than 20 μL·L−1. The oxidation rate of methane was increased with its initial concentration. An addition of water to dry soil caused large pulse of N2O emissions within 2 hours. There were curvilinear correlations between N2O emission and temperature (r2=0.706, p<0.05), and between N2O emission and water content (r2=0.2968, p <0.05). These suggested temperature and water content were important factors controlling N2O emission. The correlation between CH4 oxidization and temperature was also found while CH4 was supplied 200 μL·L−1 (r2=0.3573, p<0.05). Temperature was an important factor controlling CH4 oxidation. However, when 20 μL·L−1 CH4 was supplied, there was no correlation among CH4 oxidization, N2O emission, temperature and water content. Foundation item: This paper was supported by Chinese Academy of Sciences. Biography: ZHANG Xiu-jun (1960-), female, Ph. Doctor, lecture in Laboratory of Ecological Process of Trace Substance in Terrestrial Ecosystem, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110015, P.R. China. Responsible editor: Song Funan  相似文献   

5.
温度对杉木林土壤呼吸的影响(英文)   总被引:2,自引:0,他引:2  
Soil samples collected from the surface soil (0(10 cm) in an 88-year-old Chinese fir (Cunninghamia lanceolata) forest in Nanping, Fujian, China were incubated for 90 days at the temperatures of 15°C, 25°C and 35°C in laboratory. The soil CO2 evolution rates were measured at the incubation time of 2, 5, 10, 15, 20, 25, 30, 35, 40, 50, 60, 70, 80 and 90 days. The results showed that CO2 evolution rates of soil samples varied significantly with incubation time and temperature during the incubation period. Mean CO2 evolution rate and cumulative amount of CO2 evolution from soil were highest at 35°C, followed by those at 25°C, and 15°C. Substantial differences in CO2 evolution rate were found in Q10 values calculated for the 2nd and 90th day of incubation. The Q10 value for the average CO2 evolution rate was 2.0 at the temperature range of 15-25°C, but it decreased to 1.2 at 25- 35°C. Soil CO2 evolution rates decreased with the incubation time. The cumulative mineralized C at the end of incubation period (on the 90th day) was less than 10% of the initial C amounts prior to incubation.  相似文献   

6.
本文综述了国内外关于森林土壤碳动态过程对氮沉降响应机制的研究进展,概述了大气氮沉降对土壤碳释放及其影响因子的作用机制,从土壤生物学特性、凋落物动态、土壤碳释放等方面揭示大气氮沉降对土壤碳平衡过程影响机制和机理,探讨了森林土壤碳动态过程对氮沉降响应的不确定性因素,并指出未来该领域研究重点。  相似文献   

7.
在阅读了大量文献的基础上,系统的阐述了研究林木蒸腾耗水的意义,综述了林木蒸腾耗水研究的主要方法及应用条件,重点介绍了林木水分传输机理与耗水调控机制和林木蒸腾耗水性的研究状况。  相似文献   

8.
以位于长江三峡库区的重庆缙云山针阔混交林为研究对象,利用美国LI-COR公司生产的LI-8100开路式土壤碳通量测量系统对林地有凋落物和无凋落物两种土壤呼吸速率进行了观测。结果表明:(1)有无凋落物对土壤温度、土壤含水量均无影响;(2)有凋落物和无凋落物土壤呼吸的昼夜变化都呈现为单峰曲线,下午14:00左右达到峰值,并且无凋落物土壤呼吸速率小于有凋落物土壤呼吸速率;(3)有凋落物和无凋落物土壤呼吸季节变化趋势都表现为双峰型,峰值分别出现在7月和9月;(4)针阔混交林通过土壤呼吸释放的CO2量达到24.05 t/hm2,其中由凋落物释放的CO2达到5.09 t/hm2,占总CO2释放量的21.16%,说明凋落物对土壤呼吸影响显著。  相似文献   

9.
Forest soil measurements were made at over 180 sites distributed throughout the H.J. Andrews Experimental Forest (HJA) in the Oregon Cascade Mountains. The influences of both elevation and aspect on soil variables were measured in the early (1998) and late summer (1994). Increased elevation significantly increased soil moisture, mean annual precipitation, soil organic matter, labile C and mineralizable N, microbial activities, extractable ammonium, and denitrification potentials. In contrast, bulk density, pH and soil temperature (1998 only) were significantly lower at the higher elevations. Relative to labile C, mineralizable N was preferentially sequestered at higher elevations. Aspect significantly affected annual mean temperature and precipitation, soil moisture and temperature, soil organic matter, mineralizable N, extractable ammonium, denitrification, and microbial activities. There were no significant higher statistical interactions between elevation and aspect on climatic or soil factors. Soil organic matter (SOM) accumulation at higher elevations is likely driven by a reduction in decomposition rates rather that an increase in primary productivity, however, SOM accumulation on north facing slopes is probably due to both a decrease in decomposition and an increase in primary production. Models of climate change effects on temperate forest soils based on elevational studies may not apply to aspect gradients since plant productivity may not respond to temperature–moisture gradients in the same way across all topographical features.  相似文献   

10.
为探索城市森林环境空气负氧离子水平,2016年9月至2017年8月,采用便携式负离子监测仪对湖南省森林植物园不同林分森林环境空气负氧离子浓度进行了观测,根据获取的资料分析了湖南省森林植物园空气负氧离子的季、月和日变化特征,以及空气负氧离子与气象因子的相关关系。结果表明:湖南省森林植物园负氧离子浓度年平均值为845个·cm-3;季变化中,其最大值出现在夏季,平均949个·cm-3,最小值出现在冬季,平均440个·cm-3;月变化中,其最大值出现在8月,平均1 071个·cm-3,最小值出现在1月,平均310个·cm-3;在日变化中,上午06:00—07:00空气负氧离子浓度最高,平均1 600个·cm-3,中午12:00—13:00最低,平均620个·cm-3。温度与负氧离子浓度表现出正相关,而湿度与负氧离子浓度表现出负相关。针叶林的空气负氧离子浓度要高于阔叶林。  相似文献   

11.
森林采伐更新作业与林地生产力的维护   总被引:1,自引:1,他引:0  
赵康 《森林工程》1999,15(4):5-6,41
根据森林资源可持续发展的要求,分析了采运作业可能引起林地生产力下降的因素,并提出了减缓措施。  相似文献   

12.
不同海拔毛竹土壤酶活性与土壤理化性质关系的研究   总被引:4,自引:0,他引:4  
以江西省大岗山地区的毛竹林为研究对象,利用相关分析和主成分分析对不同海拔(300、400、500、600、700m)土壤纤维素酶、蔗糖酶、淀粉酶、β-葡糖苷酶和多酚氧化酶活性的变化特征进行了分析,探讨了其与土壤理化性质的关系。结果表明:土壤化学指标表现出随海拔的升高而增加的变化特征,除碱解氮外,其他各指标均处于较低水平,但物理指标的变化各不相同;随海拔升高,β-葡糖苷酶与多酚氧化酶活性呈现出增加的趋势,而纤维素酶、蔗糖酶和淀粉酶活性无明显变化规律;几种土壤酶对土壤肥力的指示效果不同,β-葡糖苷酶在评价毛竹林土壤肥力上具有重要指示效果,其后依次为蔗糖酶和多酚氧化酶、纤维素酶,但淀粉酶不适宜用来评价土壤肥力状况;通过主成分分析计算综合得分,不同海拔毛竹土壤肥力随海拔的升高而增加。  相似文献   

13.
为了研究湖南省攸县境内的不同水土保持林对土壤抗侵蚀性能的影响,本文从林地土壤的物理性状、土壤抗蚀性能和土壤抗冲性能3个方面来进行对比研究。测定其林地0~20 cm层土壤的容重、孔隙度、水稳定指数、渗透系数、土壤团聚体占土样百分比和抗冲指数几个指标,进而分析不同林分类型之间的林地土壤抗侵蚀性能的差异。结果表明:从土壤的物理性状来看,楠+桤木+枫香混交林的容重和孔隙度均比其他两种林分要好;从土壤的抗蚀性能来看,3种不同林分的水稳性指数大小按照大小顺序为楠+桤木+枫香混交林枫香+栾树+桤木混交林杉木+柏木+马尾松混交林,楠+桤木+枫香混交林的渗透性能优于杉木+柏木+马尾松混交林和枫香+栾树+桤木混交林,且3种林分的水稳性指数与渗透系数均大于荒坡地;从土壤抗冲性能来看,土壤总团聚体占土样百分比和土壤抗冲指数按照楠+桤木+枫香混交林枫香+栾树+桤木混交林杉木+柏木+马尾松混交林的大小排列顺序,且指标均大于荒坡地。  相似文献   

14.
湘西南山地主要森林类型土壤养分研究   总被引:1,自引:0,他引:1  
对湘西南永州市6种主要森林类型(针阔混交林、阔叶林、湿地松林、马尾松林、毛竹林和杉木林)林地的土壤养分进行测定与分析,结果表明:针阔混交林和毛竹林的土壤有机质含量较高;针阔混交林的氮、钾元素含量高,而磷元素含量相对较低;毛竹林的速效磷含量最高;阔叶林钾、磷元素含量较高,氮元素含量相对较低;湿地松和马尾松纯林的土壤有机质...  相似文献   

15.
森林蓄积量能够评估林地生产力的高低及经营措施的效果,为森林经营与采伐提供重要依据。目前,大多基于无人机影像的蓄积量估算,均建立在测绘标准所生成的DOM、DSM、DEM等测绘成果基础上,而未充分利用原始影像数据上的林业特征,无法从点云层面上加入林业业务逻辑产生成果数据。获取无人机影像后,利用特征点提取与匹配方法自动相对定向,结合控制点和光束法平差的迭代求解,解算出精确的相机姿态数据,并沿核线方向一维搜索特征点进行影像密集匹配生成密集点云。对原始三维点云过滤后进行树冠分割,在聚类后的林冠点云中提取了树顶点和树高因子估测了森林蓄积量。研究结果表明,冠幅的提取精度85.15%,树高的提取精度83.69%,林分蓄积量估算的精度达到了82.46%。  相似文献   

16.
姚敏  李锡泉  林坚 《湖南林业科技》2011,38(5):30-33,57
以湖南省洞口县月溪国有林场生态公益林为研究对象,对其成熟林优材更替前后水土保持效益进行了研究.结果表明:1#更替模式(新造杉木纯林)和2#更替模式(新造杉木+樟树混交林)的地表径流量、泥沙流失量都比3#更替模式(CK,未砍伐杉木过熟林)大2~3倍;前者实施了挖穴造林,破坏了地表土壤结构,但水土流失系数没有超出允许浸蚀量...  相似文献   

17.
研究喀斯特森林土壤呼吸对探索陆地生态系统碳循环有重要意义。对喀斯特原生乔木林和次生林土壤呼吸速率的非生长季动态变化及对温度变化的响应和不同凋落物处理下土壤呼吸的变化进行了研究,结果表明:喀斯特次生林和原生乔木林土壤呼吸速率非生长季动态变化与土壤温度、林内温度变化总体一致;两演替群落土壤温度能解释95.1%~96.8%,91.3%~92.8%的土壤呼吸变化。去除、添加凋落物处理对土壤呼吸影响有显著差异(P<0.05),分别使土壤呼吸降低了21.29%~54.03%和增加了13.79%~98.41%。不同土壤深度土壤呼吸的Q10值次生林为4.62~4.71、原生林为4.01~4.31。随着土壤深度的增加而增加,去除和添加凋落物处理引起土壤呼吸的Q10值不同,从大到小均表现为去除、对照、添加。两演替群落比较,土壤呼吸因小生境、森林植被不同而存在差异,次生林土壤呼吸速率高于原生乔木林,次生林呼吸速率与土壤温度的相关程度略高于原生乔木林,次生林土壤呼吸对温度的敏感性更强。  相似文献   

18.
生态公益林林地土壤水源涵养功能研究   总被引:1,自引:0,他引:1  
以湖南省5种不同类型生态公益林为研究对象,对其林地土壤水源涵养功能进行研究,结果表明:从土壤容重的均值来看,自然保护区类公益林林地最低,天然混交林相对于人工纯林林地土壤结构的改善效果更为明显;土壤的非毛管孔隙度大致随土层深度的增加而逐渐减少;不同类型公益林林地土壤最大蓄水量顺序为:江河源头>江河两岸>自然保护区>湿地和...  相似文献   

19.
为改善大兴安岭落叶松天然次生林的生态环境,观测间伐后林地土壤肥力的变化情况,探讨最有利于林地土壤改良的间伐强度。在大兴安岭设置间伐强度分别为9.43%、16.75%、29.00%、40.01%、53.09%、67.25%的实验样地和未间伐的对照样地,样地分别栽植兴安落叶松Larix gmelinii、兴安樟子松Pinus sylvestris、红皮云杉Picea koraiensis Nakai、西伯利亚红松Pinus sibirica促进林分更新。选取能够反映土壤肥力的化学性质指标和物理性质指标共13项,利用改进层次分析法和熵权法相结合的方法确定指标权重,同时运用灰色关联法,对各间伐样地的土壤肥力进行综合评价。结果表明:土壤有效磷(0.222)、有机质(0.145)在所有评价指标中所占权重偏高,灰色关联度(间伐强度)由大到小排序为0.73(40.01%)> 0.70(29%)> 0.65(16.75%)> 0.64(9.43%)> 0.63(53.09%)> 0.60(0)> 0.55(67.25%)。说明土壤有效磷、有机质是土壤肥力的重要影响因素,间伐强度40.01%的改造样地土壤肥力最佳,间伐强度9.43%~53.09%的落叶松次生林土壤肥力优于对照样地。适当的间伐强度能够改善林地内的土壤肥力,为大兴安岭落叶松次生林的改造提供参考。  相似文献   

20.
【目的】为了探究国产高分二号(GF-2)影像在林分蓄积量估测中的潜力,并找到最佳的蓄积量估测模型。【方法】本次实验以内蒙古旺业甸林场为研究区,以高分二号卫星影像为信息源,结合2017年10月份调查的75块样地以及同时期的GF-2影像数据,提取波段特征、植被指数和纹理特征等43个遥感因子作为候选变量,利用Pearson相关系数选择出与蓄积量显著相关的6个变量,采用多元线性回归模型(MLR)、BP-神经网络模型(BP-ANN)、随机森林模型(RF)、支持向量机模型(SVM)和K邻近模型(KNN)进行蓄积量的估测。以决定系数(R^2)、均方根误差(RMSE)、相对均方根误差(RRMSE%)作为5种模型的评价指标,选择出旺业甸林场的最佳蓄积量估测模型,并绘制了研究区的森林蓄积量分布图。【结果】4种机器学习模型的结果明显优于传统的线性模型,其中随机森林(RF)模型和K邻近模型(KNN)均得到了较高的精度,其中RF模型的R^2为0.66,均方根误差为55.2 m^3/hm^2,相对均方根误差为28.1%,KNN模型的R^2为0.64,均方根误差为57.6 m^3/hm^2相对均方根误差为29.3%。【结论】在利用高分二号数据进行旺业甸林场蓄积量估测时,RF和KNN模型在估测针叶林蓄积量时相比于其他模型可以取得更好的结果。  相似文献   

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