应用三种不同处理方法消解土壤的研究

本文采用3种不同的消解方法对环境土壤标准物质ESS-2和ESS-3进行处理,火焰原子分光光度法分别测定其中铜(Cu)、锌(Zn)元素的含量.3种消解方法为:电热板消解法、微波消解法和全自动消解法.分析测定结果探讨这3种消解方法的优缺点,以期获得最经济实效的消解手段.实验证明:微波消解法操作简便快捷、赶酸时间短、无污粢、准确度高、精密度好,因此提高了工作效率.     

微波诱导热解制备小麦秸秆吸附剂及响应面优化工艺研究

以氯化锌为活化剂,通过微波诱导热解法制备小麦秸秆吸附剂,并以微波功率、热解时间和氯化锌质量分数为影响因素,碘吸附值为响应值,采用响应面法对小麦秸秆吸附剂的制备工艺进行优化。结果表明,热解时间和微波功率对碘吸附值的交互作用明显。响应面优化工艺分析,发现当热解时间4.03 min、微波功率569.0 W,氯化锌质量分数为31.24%时,碘吸附值最大,为643.33 mg/g。另外,小麦秸秆吸附等温线与I型相似,吸附剂的微孔容积为0.238 4cm³/g,吸附剂的BJH孔径分布表现窄小,最高峰出现在2.1nm左右。处理Cr(VI)废水的吸附试验,发现Cr(VI)的去除率可以达到70%以上。研究表明,微波诱导热解法及响应面优化工艺制备的小麦秸秆吸附剂技术可行且具有良好的重金属废水处理应用前景。     

Spectral characteristics of plant communities from salt marshes:A case study from Chongming Dongtan,Yangtzeestuary,China

The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which are undergoing invasion by Spartina alterniflora, were assessed to determine the potential utility of remotely sensed data in assessing future invasion and changes in species composition. Following a review of published research on remote sensing of salt marshes, 53 locations along three transects were sampled for paired data on plant species composition and spectral reflectance using a FieldSpec™ Pro JR Field Portable Spectroradiometer. Spectral data were processed concerning reflectance, and the averaged reflectance values for each sample were reanalysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager. The spectral data were summarised using principal components analysis (PCA) and the relationships between the vegetation composition, and the PCA axes of spectral data were examined. The first PCA axis of the reflectance data showed a strong correlation with variability in near infrared reflectance and ‘brightness’, while the second axis was correlated with visible reflectance and ‘greenness’. Total vegetation cover, vegetation height, and mudflat cover were all significantly related to the first axis. The implications of this in terms of the ability of remote sensing to distinguish the various salt marsh species and in particular the invasive species S. alterniflora were discussed. Major differences in species with various physiognomies could be recognised but problems occurred in separating early colonising S. alterniflora from other species at that stage. Further work using multi-seasonal hyperspectral data might assist in solving these problems.     

林(竹)草不同植被恢复模式下的土壤物理特性

利用建立生态定位观测场,对华西雨屏区洪雅县低山区退耕还林中的桦木+扁穗牛鞭草、苦竹+扁穗牛鞭草、纯扁穗牛鞭草和撑绿杂交竹＋扁穗牛鞭草4种林（竹）草植被类型进行定位观测,研究不同植被恢复类型对土壤物理特性的改良。试验结果表明：林（竹）草不同植被类型植被恢复5年后,土壤0～40 cm土层的砂粒和粗粉粒百分含量均有一定的下降,在一定程度上逆转了原坡耕地土壤继续“粗化”的趋势;4种植被恢复类型土壤0～40 cm土层的物理性粘粒含量与农耕地相比均有一定提高,在一定程度上增强了固持土壤养分的能力,以苦竹＋扁穗牛鞭草改良效果最好;与农耕地相比,4种植被恢复类型土壤0～40 cm土层土壤容重有增有减,以苦竹＋扁穗牛鞭草和撑绿杂交竹＋扁穗牛鞭草植被恢复类型改良效果相对较优;虽然除纯牛鞭草地外其它3种植被恢复类型土壤0～40 cm的总孔隙度与农耕地相比都有一定程度的增加,但土壤总孔隙度都偏小,非毛管孔隙/毛管孔隙值也不合理。可见土壤结构的改良并非退耕后植被恢复短期内就能实现的,还需长时间的植被保护、合理的经营。〖     

Identification of Forest Vegetation Using Vegetation Indices

Abstract

Spectral feature of forest vegetation with remote sensing techniques is the research topic all over the world, because forest plays an important role in human beings' living environment. Research on vegetation classification with vegetation index is still very little recently. This paper proposes a method of identifying forest types based on vegetation indices, because the contrast of absorbing red waveband with reflecting near-infrared waveband strongly for different vegetation types is recognized as the theoretic basis of vegetation analysis with remote sensing. Vegetation index is highly related to leaf area index, absorbed photosynthetically active radiation and vegetation cover. Vegetation index reflects photosynthesis intensity of plants and manifests different forest types. According to reflectance data of forest canopy and soil line equation NIR=1.506R+0.0076 in Jingyuetan, Changchun of China, many vegetation indices are calculated and analyzed. The result shows that the relationships between vegetation indices and forest types are that perpendicular vegetation index (PVI) identifies broadleaf forest and coniferous forest the most easily; the next is transformed soil-adjusted vegetation index (TSVI) and modified soil-adjusted vegetation index (MSVI), but their calculation is complex. Ratio vegetation index (RVI) values of different coniferous forest vary obviously, so RVI can classify conifers. Therefore, the combination of PVI and RVI is evaluated to classify different vegetation types.     

Assessing conservation opportunity on private land: socio-economic, behavioral, and spatial dimensions

This study presents a method for assessing conservation opportunity on private land based on landholders' socio-economic, behavioral, and farm characteristics. These characteristics include age, gender, education, level of off-farm income, farm size, proportion of remnant native vegetation on-farm, and ecological value of native vegetation on-farm. A sample of landholders who own greater than 2 ha of land in the South Australian Murray-Darling Basin region were sent a mail-based survey about their values and preferences for environmental management (N = 659, 52% response). Cross-tabulations and ANOVA statistical analysis techniques were used to compare the socio-economic attributes across three landholder classes: disengaged, moderately engaged, and highly engaged in native vegetation planting. Results indicate that highly engaged landholders were more likely to be female, formally educated, hobby farmers who managed small parcels of land and have high off-farm incomes, whereas disengaged landholders held significantly stronger farming connections (more farming experience, family have lived on the farm for more generations). Spatial analysis revealed area-specific differences in conservation opportunity and conservation priority. In some areas, properties of high ecological value were managed by highly engaged landholders, but nearby properties of high value were managed by moderately engaged or disengaged landholders. Environmental managers therefore cannot assume areas of high conservation priority will be areas of high conservation opportunity. At the regional scale, the potential for revegetation seems most promising within the moderately engaged landholder group considering the vast amount of land managed by this group in areas of high ecological value, particularly within the less represented Mallee and Coorong and Rangelands sub-regions. We suggest that incentive schemes which purchase conservation need to be targeted at disengaged landholders; mentoring schemes led by commercial farmers highly engaged in native vegetation planting should be directed at moderately engaged landholders, and; awards programs which acknowledge conservation successes should be targeted at highly engaged landholders.     

聚合氯化铁一腐殖酸絮体的空间异质性研究

采用专业的软件对聚合氯化铁一腐殖酸（PFC—HA）絮体二维图像进行灰度解析与高度校正,确定了聚合氯化铁混凝腐殖酸的体系中不同PFC投药量时典型絮体的空间高程分布矩阵;并据此分别计算了PFC絮体的二维分形维数（Ds）、不同方向的Hurst指数及一维自仿射分形维数日．结果表明,不同PFC投药量下,利用TPSAM、PCM、C...     

Modelling forest management within a global vegetation model—Part 2: Model validation from a tree to a continental scale

The construction of a new forest management module (FMM) within the ORCHIDEE global vegetation model (GVM) allows a realistic simulation of biomass changes during the life cycle of a forest, which makes many biomass datasets suitable as validation data for the coupled ORCHIDEE-FM GVM. This study uses three datasets to validate ORCHIDEE-FM at different temporal and spatial scales: permanent monitoring plots, yield tables, and the French national inventory data. The last dataset has sufficient geospatial coverage to allow a novel type of validation: inventory plots can be used to produce continuous maps that can be compared to continuous simulations for regional trends in standing volumes and volume increments. ORCHIDEE-FM performs better than simple statistical models for stand-level variables, which include tree density, basal area, standing volume, average circumference and height, when management intensity and initial conditions are known: model efficiency is improved by an average of 0.11, and its average bias does not exceed 25%. The performance of the model is less satisfying for tree-level variables, including extreme circumferences, tree circumference distribution and competition indices, or when management and initial conditions are unknown. At the regional level, when climate forcing is accurate for precipitation, ORCHIDEE-FM is able to reproduce most productivity patterns in France, such as the local lows of needleleaves in the Parisian basin and of broadleaves in south-central France. The simulation of water stress effects on biomass in the Mediterranean region, however, remains problematic, as does the simulation of the wood increment for coniferous trees. These pitfalls pertain to the general ORCHIDEE model rather than to the FMM. Overall, with an average bias seldom exceeding 40%, the performance of ORCHIDEE-FM is deemed reliable to use it as a new modelling tool in the study of the effects of interactions between forest management and climate on biomass stocks of forests across a range of scales from plot to country.     

浅议郴州市废弃矿山生态恢复途径

郴州市矿产资源丰富,采矿业发达,矿山资源开发导致了环境污染、生态破坏等一系列问题,矿山废弃地的生态恢复及景观重建已成为郴州市经济和社会发展需要迫切解决的问题之一.概括地介绍了郴州市的基本状况,分析了郴州市采矿业的无序发展对生态环境的影响,并针对矿山废弃地环境的污染问题,探索性地提出了郴州市废弃矿山生态恢复的途径.