论泥炭纤维素碳同位素组成作为东亚季风强度变化代用指标的可行性:吉林3个临近发育的泥炭地泥炭剖面的横向比对

降雨量通常与东亚季风强度成正比,而植物纤维素碳同位素组成又与降雨量成反比,因此泥炭纤维素碳同位素比值通常作为东亚季风强度变化的代用指标。由于季风影响的广泛性和区域性,临近发育的泥炭地植物纤维素碳同位素序列应该高度相关。为了验证这种假设,我们系统比较了吉林3处泥炭地3个泥炭剖面苔草纤维素2000年来的碳同位素序列。14 C时标控制的3个序列不呈现有意义的相关关系。不同时段,如过去500年、1000年、1500年和2000年来序列的长期趋势也不相关,序列中包含的周期完全不同。这些事实说明3处剖面苔草纤维素碳同位素比值记录的是当地性的而不是区域性的气候或环境信号,将泥炭纤维素碳同位素比值作为东亚季风强度变化的代用指标的合理性值得怀疑。     

全新世哈尼泥炭地碳积累速率及影响因素

本工作研究了全新世中国东北地区哈尼泥炭地的碳积累速率与气候变化的响应机制。综合多指标腐殖化度、有机碳含量、干容重和纤维素碳氧同位素重建了哈尼地区全新世气候变化历史,并且基于定年、有机碳含量和干容重得到碳积累速率数据。哈尼泥炭时间加权平均碳积累速率28.3gC/(m2·a)。B/A暖期后期温暖湿润气候有利于碳积累,出现碳积累高峰。相对寒冷的新仙女木期碳积累速率有所降低。温暖湿润早中全新世虽有高泥炭分解,但高初级生产力还是占据主导作用,出现高碳积累速率。期间有两次火山碎屑层扰动了泥炭发育,导致碳积累速率下降。高碳积累速率一直持续到4ka BP左右大暖期结束。4.0~1.6ka BP太平洋季风减弱,泥炭表面偏干,加之降温导致低初级生产力,最终导致此阶段碳积累速率显著降低。之后季风不断增强,碳积累速率也随之增加。八次IRD降温,小冰期和新仙女木降温在哈尼都是冷湿气候组合。冷湿气候虽使有机物分解降低,但更大程度的抑制了初级生产力发展,导致低碳积累速率。     

基于ImageJ评价泥炭岩心存储对色相与彩度的影响

利用ImageJ软件对2008年在红原泥炭地开展钻探时的泥炭岩心照片和2009年分样时的岩心照片进行表面色彩分析.对比分析发现,存储以前和存储以后泥炭岩心的表面色彩发生改变,表现在样品存储后基于RGB色彩体系的三元色值和灰度值均有降低(变暗),且各色值变化幅度降低.就各色值在剖面上的变化特征而言,样品存储前和存储后的变...     

Use of USLE/GIS Methodology for Predicting Soil Loss in a Semiarid Agricultural Watershed

The Universal Soil Loss Equation (USLE) is an erosion model to estimate average soil loss that would generally result from splash, sheet, and rill erosion from agricultural plots. Recently, use of USLE has been extended as a useful tool predicting soil losses and planning control practices in agricultural watersheds by the effective integration of the GIS-based procedures to estimate the factor values in a grid cell basis. This study was performed in the Kazan Watershed located in the central Anatolia, Turkey, to predict soil erosion risk by the USLE/GIS methodology for planning conservation measures in the site. Rain erosivity (R), soil erodibility (K), and cover management factor (C) values of the model were calculated from erosivity map, soil map, and land use map of Turkey, respectively. R values were site-specifically corrected using DEM and climatic data. The topographical and hydrological effects on the soil loss were characterized by LS factor evaluated by the flow accumulation tool using DEM and watershed delineation techniques. From resulting soil loss map of the watershed, the magnitude of the soil erosion was estimated in terms of the different soil units and land uses and the most erosion-prone areas where irreversible soil losses occurred were reasonably located in the Kazan watershed. This could be very useful for deciding restoration practices to control the soil erosion of the sites to be severely influenced.     

Soil erosion vulnerability under scenarios of climate land-use changes after the development of a large reservoir in a semi-arid area

Climate and land-use/cover changes (LUCC) influence soil erosion vulnerability in the semi-arid region of Alqueva, threatening the reservoir storage capacity and sustainability of the landscape. Considering the effect of these changes in the future, the purpose of this study was to investigate soil erosion scenarios using the Revised Universal Soil Loss Equation (RUSLE) model. A multi-agent system combining Markov cellular automata with multi-criteria evaluation was used to investigate LUCC scenarios according to delineated regional strategies. Forecasting scenarios indicated that the intensive agricultural area as well as the sparse and xerophytic vegetation and rainfall-runoff erosivity would increase, consequently causing the soil erosion to rise from 1.78 Mg ha^?1 to 3.65 Mg ha^?1 by 2100. A backcasting scenario was investigated by considering the application of soil conservation practices that would decrease the soil erosion considerably to an average of 2.27 Mg ha^?1. A decision support system can assist stakeholders in defining restrictive practices and developing conservation plans, contributing to control the reservoir's siltation.     

Bison and cattle grazing management,bare ground coverage,and links to suspended sediment concentrations in grassland streams

This study quantified the impact of bison and cattle grazing management practices on bare ground coverage at the watershed, riparian, and forested riparian scales within the Flint Hills ecoregion in Kansas. We tested for correlations between bare ground coverage and fluvial suspended sediment concentrations during base‐flow and storm‐flow events. We used remotely sensed imagery combined with field surveys to classify ground cover and quantify the presence of bare ground. Base‐flow water samples were collected bi‐monthly during rain‐free periods and 24 h following precipitation events. Storm‐flow water samples were collected on the rising limb of the hydrograph, using single‐stage automatic samplers. Ungrazed treatments contained the lowest coverage of bare ground at the watershed, riparian, and forested riparian scales. Bison treatments contained the highest coverage of bare ground at the watershed scale, while high‐density cattle treatments contained the highest coverage of bare ground at the riparian and forested riparian scales. In bison and cattle‐grazed treatments, a majority of bare ground was located near fence lines, watershed boundaries, and third‐ and fourth‐order stream segments. Inorganic sediment concentrations at base flow were best predicted by riparian bare ground coverage, while storm‐flow sediment concentrations were best predicted by watershed scale bare ground coverage.     

泥炭保护紫花苜蓿根系对柴油污染土壤修复的研究

采用盆栽试验,观察了泥炭保护根系移栽和直播2种栽培方式处理的紫花苜蓿在柴油污染土壤中的生长情况及其对土壤中柴油污染物的去除情况,探讨了利用泥炭保护根系措施清除土壤柴油污染物的可行性.结果表明,泥炭保护根系处理有利于紫花营蓿根系形态发育,能促进根系细菌和真菌的繁殖,并显著提高根区土壤柴油降解率.     

Determination of Frequency for Remeasuring Ground and Vegetation Cover Factor Needed for Soil Erosion Modeling

Determining a remeasurement frequency of variables over time is required in monitoring environmental systems. This article demonstrates methods based on regression modeling and spatio-temporal variability to determine the time interval to remeasure the ground and vegetation cover factor on permanent plots for monitoring a soil erosion system. The spatio-temporal variability methods include use of historical data to predict semivariograms, modeling average temporal variability, and temporal interpolation by two-step kriging. The results show that for the cover factor, the relative errors of the prediction increase with an increased length of time interval between remeasurements when using the regression and semivariogram models. Given precision or accuracy requirements, appropriate time intervals can be determined. However, the remeasurement frequency also varies depending on the prediction interval time. As an alternative method, the range parameter of a semivariogram model can be used to quantify average temporal variability that approximates the maximum time interval between remeasurements. This method is simpler than regression and semivariogram modeling, but it requires a long-term dataset based on permanent plots. In addition, the temporal interpolation by two-step kriging is also used to determine the time interval. This method is applicable when remeasurements in time are not sufficient. If spatial and temporal remeasurements are sufficient, it can be expanded and applied to design spatial and temporal sampling simultaneously.     

基于GIS的北京市妫水河流域水土流失的初步分析

基于ArcGIS空间分析平台和ERDAS空间建模平台,利用水土流失综合指数法,分别以坡度、植被覆盖度和土地利用类型为主要背景因子,分析了北京市妫水河流域水土流失的空间背景特征.结果表明,妫水河流域水土流失的空间背景特征是缓坡、低植被覆盖度和疏林灌草地,而这些特征正是妫水河流域山前洪冲积扇地区的主要特点,缓坡、低植被覆盖度(不考虑城市建成区)和疏林灌草地也主要集中在流域内山前洪冲积扇地区.并提出防治妫水河流域水土流失的有效措施.      

哈尔滨松北区城市湿地土壤抗侵蚀效益价值估算

城市湿地是城市生态系统的重要组成部分,在土壤抗侵蚀方面起重要作用.以哈尔滨松北区城市湿地为研究对象,在哈尔滨松北区湿地的西区、中区及东区沿线共布设采样点3个.哈尔滨松北区城市湿地土壤抗侵蚀效益价值通过湿地减少土地废弃、河道淤积和土壤中肥力流失三方面的价值来估算.结果表明:哈尔滨市松北区城市湿地保护土壤、减少土壤侵蚀的总效益价值为1.900×107元/a;湿地土壤在抗侵蚀效益中的贡献率占总效益的1/5,其效益价值为3.800×106元/a.