基于SBE法的北京市郊野公园绿地结构质量评价技术

以北京市已建的郊野公园为研究对象,共收集46张一般绿地景观照片、50张建筑与小品和道路等人造硬质景观周边绿地景观照片、54张滨水植物景观照片和相关资料,采用景观美景度评判法对郊野公园这3种绿地类型进行景观评判,并利用多元数量化模型Ⅰ构建相应的美景度模型,对绿地结构的质量进行评价。结果表明:影响一般绿地结构主要因素为绿视率、郁闭度、植物色彩数量、植物色彩对比度、生活型构成和植物野趣程度;影响人造硬质景观周边绿地结构的主要因素为相对枝下高、总体协调性、栽植方式、枝叶密度和建筑物风格;影响滨水植物景观结构的主要因素为植被空间占有率、总体协调性、栽植方式和层片结构。根据景观美景度模型所反映的群众喜欢度,对郊野公园上述3种绿地的结构调整提出如下经营建议:1)对于一般绿地,应充分利用野生花草和乡土灌木,构建以乔灌草为主的林分结构,以增大绿地的绿视率,促进植被向近自然方向发展;结合密度调整,对现有绿地进行局部物种组成调整,充分利用不同色系植物营造出具有一定变化和对比度的景观;建议将郁闭度控制在0.6～0.8;加大大径级林木的培育力度,营造疏密有致的林下游憩空间;2)对于建筑、小品和道路等人造硬质景观周边绿地,可通过合理的植...     

不同油茶饼粕的营养成分比较与饲用可行性分析

为了研究不同制油工艺对油茶饼粕的营养成分、氨基酸均衡性及蛋白质变性程度的影响,以油茶果皮作对照,采用凯氏定氮法与恒重法,测定了油茶饼粕的主要营养成分的含量,并采用氨基酸评分模式评价了油茶饼粕中氨基酸的营养价值.结果表明:就粗蛋白含量而言,油茶果壳的最低(3.69%),冷榨粕的最高(13.00%);氨基酸总含量较高,最高...     

不同类型穗条嫁接对油茶芽苗砧嫁接苗生长发育的影响研究

对油茶接穗木质化程度和砧木与嫁接苗成活率及其生长的相关性进行了研究,结果表明：①刚木质化、半木质化、全木质化3个试验处理对嫁接苗成活率、抽梢率、高生长、地径差异极显著,接穗刚木质化处理成活率94.67%、抽梢率92.00%、高生长6.19cm效果较好;②砧木采用胚芽和胚根嫁接对嫁接苗成活率、抽梢率、生长势差异显著,胚芽...     

科尔沁沙地杨柴生物沙障平茬复壮技术研究

针对科尔沁沙地杨柴生物沙障的生存现状和生长动态规律,分析了经过不同预留盖度和留茬高度的平茬处理后杨柴生物沙障和林间草本植被的恢复情况及其防风固沙效益,结果表明：平茬对杨柴及其林间草本的生长均有极大的促进作用;在平茬后的第1年内,预留盖度10%和留茬高度0 cm（齐地刈割）对杨柴生长最为有利;综合风速和风蚀量的测定分析发...     

不同季节断根对滇润楠根系发育的影响

滇润楠（Machilus yunnanensis）不同季节断根对比试验结果表明:滇润楠新根的萌发与断根季节的气候因素有较大关系,新根萌发时间与温度紧密相关而与湿度关系不大,根系萌发状况与断根季节的温度和降水量紧密相关,而与相对湿度和蒸发量关系不大.断根时的温度愈高,新根的萌发时间愈早;断根时的温度、降水量愈高,根系的发...     

利用无人机多光谱影像的多品种玉米成熟度监测

基于遥感监测多品种玉米成熟度进而掌握最佳收获时机，对提高其产量和品质至关重要。该研究在玉米成熟阶段获取无人机多光谱影像，同步采集叶片叶绿素含量（chlorophyll content，C）、籽粒含水率（moisture content，M）、乳线占比（proportion of milk line，P）等地面实测数据，以此构建玉米成熟度指数（maize maturity index，MMI），从而定量表征玉米成熟度。通过MMI与植被指数构建回归模型和随机森林模型，验证MMI适用性，并分析无人机遥感对不同品种玉米成熟度的监测精度。结果表明：1）不同品种玉米的叶片叶绿素含量、籽粒含水率、乳线占比的变化速率均存在差异。2）MMI与所选植被指数的相关性均可达到0.01显著水平，其中与归一化植被指数（normalized difference vegetation index，NDVI）、转换叶绿素吸收率（transformed chlorophyll absorbtion ratio index，TCARI）相关性最高，相关系数均为0.87。3）该研究基于不同组合的数据集进行了模型验证，其中随机森林模型对MMI的估测精度最高，测试集决定系数（coefficient of determination，R²）为0.84，均方根误差（root mean squared error，RMSE）为8.77%，标准均方根误差（normalized root mean squared error，nRMSE）为12.05%。此外，随机森林模型对不同品种MMI的估测精度较好，京九青贮16精度最优，其中R²、RMSE、nRMSE为0.76、10.67%、15.88%，模型精度证明了可以利用无人机平台对不同品种玉米成熟度进行监测。研究结果可为多光谱无人机实时监测农田多品种玉米成熟度的动态变化提供参考。     

丘陵赤红壤降雨入渗产流模型及其变化特征

在分析南亚热带丘陵赤红壤降雨入渗和产流过程基础上 ,依据田间实测资料 ,建立了丘陵赤红壤降雨入渗产流数学模型 ,分析了南亚热带丘陵赤红壤地表径流的动态变化特征及其影响因素。结果表明 ,丘陵赤红壤区 ,4～ 9月每次降雨产生的径流量变化范围为 0 .2～ 5 1.0 4m m,径流率变化范围为 0 .5 6 %～ 47.5 8% ,10月至次年 3月一般不产生地表径流 ;地表径流量与降雨量拟合关系式为 R0 =0 .0 2 5 9.Pn1 .40 34 ,径流率与土壤表层初始含水量拟合关系式为 R′0 =9.8788W7.770 2 ,而降雨强度对径流量的影响要比降雨量、土壤表层初始含水量小得多。     

Empirical predictions of plant material C and N mineralization patterns from near infrared spectroscopy, stepwise chemical digestion and C/N ratios

Prediction of carbon (C) and nitrogen (N) mineralization patterns of plant litter is desirable for both agronomic and environmental reasons. Near infrared reflectance (NIR) spectroscopy has recently been introduced in decomposition studies to characterize biochemical composition. The purpose of the current study was to use empirical techniques to predict C and N mineralization patterns of a wide range of plant materials incubated under controlled temperature and moisture conditions. We hypothesized that the richness of information in the NIR spectra would considerably improve predictions compared to traditional stepwise chemical digestion (SCD) or C/N ratios. Initially, we fitted a number of empirical functions to the observed C and N mineralization patterns. The best functions fitted with R²=0.990 and 0.949 to C and N, respectively. The fractions of C and N mineralized at different points in time were then either predicted directly with regression functions or indirectly by prediction of the parameters of the empirical functions fitted to incubation data. In both cases, partial least squares (PLS) regressions were used and predictions were validated by cross-validations. We found that the NIR spectra (best R²=0.925) were able to predict C mineralization patterns marginally better than the SCD fractions (best R²=0.911), but considerably better than the C/N ratios (best R²=0.851). In contrast, N mineralization was better predicted by SCD fractions (best R²=0.533) than the C/N ratio (best R²=0.497), which was better than NIR predictions (best R²=0.446). Although the predictions with the NIR spectra were only slightly better for C and worse for N mineralization compared to SCD fractions, NIR spectroscopy still holds advantages, as it is a much less laborious and cheaper analytical method. Furthermore, exploration of the applications of NIR spectroscopy in decomposition studies has only just begun, and offers new ways to gain insights into the decomposition process.     

Biodegradation of 1-Methylindole and 3-Methylindole by Mangrove Sediment Enrichment Cultures and a Pure Culture of an Isolated Pseudomonas Aeruginosa Gs

Indolic compounds are N-heterocyclic aromatic chemicals and have been detected at contaminated sites. Biodegradation of 1-methylindole (1MI) and 3-methylindole (3MI) was investigated initially using enrichment cultures with mangrove sediment obtained from Mai Po Nature Reserve of Hong Kong and subsequently with a pure culture of Pseudomonas aeruginosa Gs confirmed with 16S rRNA gene. At 2.0 mM, 1MI and 3MI were degraded in 4 and 3 days, respectively, by the respective 1MI- and 3MI-degrading enrichment cultures. When substrate concentrations were increased to 3.0,mM and 3.5,mM, slower degradation of 1MI and 3MI was observed indicating inhibitory effects from the substrates, possibly due to toxicity. In addition, no colony of bacteria could be observed on the agar plates amended with 3.5,mM 1MI or 4.0,mM 3MI, indicating that 1MI was more toxic than 3MI. Pseudomonas aeruginosa Gs, isolated from the enrichment culture, effectively utilized both substrates as the sole source of carbon and energy. Complete degradation of 1MI and 3MI was achieved after more than 40 days and 24 days, respectively, at an initial concentration of 2,mM in the culture. Effects of initial substrate concentration, pH and salinity on degradation of 1MI and 3MI by P. aeruginosa Gs were also studied in batch culture. The optimum pH and salinity for degrading both substrates by P. aeruginosa Gs was 7.0 and 5?, respectively. Biodegradation kinetics of 1MI and 3MI by P. aeruginosa Gs could be described using a first-order kinetic model. Our results suggest that both 1MI and 3MI are biodegradable in the mangrove environment and that toxicity of 1MI could be a potential factor limiting the removal of the chemical in the environment by microorganisms.     

Monitoring of heavy metals in protected forest catchments in Sweden

Long-term integrated catchment monitoring within the Swedish Environmental Monitoring Programme (PMK) aims primarely at the fate and effects of pollutants in mature ecosystems, mainly protected boreal forests. The measurements that were conducted since the early eighties, with some variation, included deposition, throughfall, litterfall and the chemistry of soil water, groundwater and runoff water.Together with, or perhaps partly due to acidification, accumulation and transport of heavy metals are a serious threat to the ecosystem and in the end to the health of human beings. This paper discuss the behaviour of Hg, Pb, Cd, Zn and Cu based on the experiece gained from the studies in the small catchment areas. The importance of present deposition, soil storage and biogeochemical condition for metal mobility to the transport of metals is discussed The storages of Hg and Pb have been built up during a long time span and are very large in comparison with the flux. The present atmospheric deposition have probably little impact on the flux, which rather is governed by the biogeochemical conditions. There is still a small accumulation of Cd, but its great mobility under acidic conditions makes input and output almost in balance. A reduction in deposition will probably have an immediate effect on flux, which also is the case for Zn. Cu generally accumulates in soil. The mobility and hence the flux are certainly regulated by the biogeochemical conditions, but more detailed studies are required to reveal the general mecanisms for Cu transport within the catchment.