青藏高原地区积雪变化及特征分析

利用我国高原地区1963-2002年的逐月积雪日数资料,以及1972-2011年的格点积雪月频率资料,分析、对比了两种资料在该地区的时空演变特征。结果表明：同时段的(1972-2002)站点资料与格点资料相比,空间分布其高值区与积雪日数增值区均偏西北,偏北程度大致为3~4°,偏西程度大致为2~3°,且中心更为明显。在青藏高原西侧(85°E以西),积雪日数呈整体下降趋势。两种资料的积雪日数EOF分析存在一定的偏差,这与其对应的空间分布差异及气候趋势空间分布存在的偏差相吻合。     

黄土高原苜蓿草业开发利用探讨

从苜蓿草业在黄土高原生态环境建设中的作用、黄土高原发展苜蓿草业的地域优势及显著的经济效益等方面,分析了黄土高原地区发展苜蓿草业的意义,并结合黄土高原实际提出了发展苜蓿草业的对策。     

乌兰察布高原土壤腐殖质地理分布规律

本文研究了乌兰察布高原的地带性土壤府殖质的地理分布规律：（碱溶性腐殖质可提取的部分）以深厚黑色土为最高：８０－８７％；向北过渡至栗钙土、棕钙土明显降低在２０％左右，ＨＡ／ＦＡ亦是以深厚黑色土最高：土层中部达２以上；栗钙土１－１．５；至棕钙土０．６－１，并且表层最高，下部土层减少＜１；山地土壤ＨＡ／ＦＡ最高层在Ａ１层：１－１．３左右，向下锐减。光密度特性Ｅ４：Ｅ６：深厚黑色土最小＜４；草原土壤在４－５；山地土壤：＞５。土壤Ｃ／Ｎ也反映了土壤类型之间差异：深厚黑色土：表层低：６－７，下层高：１２－１３；草原土壤多在９－１０；山地土壤则较大１１－１３。通过对土壤以上各化学指标分析研究，明确了土壤类型的划分依据，对本区土壤分类中存在的几个问题进行初步探讨。     

莫莫格湿地干-湿界面优势植物种群动态分析

莫莫格湿地从高河漫滩底端到顶端选取有代表性的植物群落片断作为固定观测样带,并设置6个观测样方,生长季5月、7月、9月3次观测结果表明,小叶章优势种群5月份密度最高达1154-1594株/平方米,7月种群数量下降,9月有所升高;踏头苔草优势种群5-7月份密度在3 414-7 193株/平方米,9月份种群数量大幅度下降;土壤相对含水量低地段小叶章种群相对优势度大,土壤相对含水量高地段踏头苔草种群相对优势度大,局部地段生长季内有相对优势度相互替代过程,莫莫格湿地干-湿界面上小叶章和踏头苔草两个种群可以共存。     

四川新津白鹤滩国家湿地公园核心区植物景观配置研究

四川新津白鹤滩国家湿地公园位于成都市新津县境内,是典型的河流漫滩和沙洲地貌。受亚热带湿润气候影响,湿地公园核心区拥有种类丰富的湿地动植物资源,但近几年人们在场地周边的开发活动,对基地原有植物生态环境造成破坏_^[1]。现在核心区仅存那些对水质要求低和抗逆性强的植物,同时也因为植物种类过于单一,随之而来的就是湿地季节性功能失调现象,如对水质净化的能力差,水体富营养化严重。为缓解和改善湿地核心区现存问题,一个具有生态修复功能的植物景观配置就显得尤为重要,本论文主要以生态恢复学、植被演替理论等为理论支撑,借鉴LID技术在湿地生态修复的应用,结合对基地本身植物资源调查的基础,通过对不同植物的配置选择,构建起了多样的新旧植物景观模式,用以探索科学合理的湿地公园植物景观配置模式,以期恢复新津湿地公园植被生态多样性,提升视觉景观效果。     

浅议湿地公园环境教育体系之建设架构

通过分析湿地公园环境教育的目标和特点,进而得出环境教育的建设构架可分为环境解说、博览展示、参与体验三个方面,同时,通过不断对比各种教育受众特点等方法,得出结论:在湿地公园中开展环境教育是基于完善的科普宣教场所、完整的环境解说系统和合理的组织形式三者完美结合而实现的。     

内蒙古乌拉盖草原湿地中下游植被退化演替趋势分析

针对内蒙古锡林郭勒盟东乌旗乌拉盖草原湿地植被退化问题,采用植被生态调查方法进行生态损伤评估和植被演替趋势分析.调查结果表明:在乌拉盖河截流5年内,乌拉盖湿地中下游植被退化迅速,原生植被的建群种和优势种基本消失,群落高度和盖度迅速降低,原生植被群落重要值显著降低,次生植被群落重要值增加;植物种的数量大量减少,植物多样性严重降低;一年生草本植物数量和比例明显高于多年生草本植物,部分荒漠化严重地区还出现超旱生植物小果白刺(Nitraria sibirica Pall.);乌拉盖草原湿地已经从草原湿地植被演替为碱蓬盐化草甸植被和盐漠化裸地.     

布氏乳杆菌和甲酸对青藏高原不同物候期燕麦青贮饲料发酵品质和细菌群落的影响

为探讨布氏乳杆菌和甲酸对青藏高原不同物候期燕麦（Avena sativa L.）青贮饲料发酵品质和细菌群落的影响，本试验以开花期、乳熟期和蜡熟期燕麦为原料，设置对照、添加甲酸和添加布氏乳杆菌3个处理，青贮90 d后，测定其营养成分、发酵指标和细菌群落组成。结果表明：布氏乳杆菌和甲酸处理均改变不同物候期燕麦青贮饲料中细菌群落组成（P<0.05），并提高其乳酸细菌相对丰富度；与对照相比，用布氏乳杆菌和甲酸处理不同物候期的燕麦青贮后，蜡熟期的燕麦pH值降低（P<0.05），乙酸均增加9.7%，丙酸分别降低11.6%和8.6%，氨态氮分别降低11.3%和19.2%。综合细菌群落组成、发酵品质和营养成分来看，蜡熟期的燕麦添加布氏乳杆菌和甲酸后，其青贮品质较佳。     

Contribution of green manure legumes to nitrogen dynamics in traditional winter wheat cropping system in the Loess Plateau of China

Excessive application of N fertilizer in pursuit of higher yields is common due to poor soil fertility and low crop productivity. However, this practice causes serious soil depletion and N loss in the traditional wheat cropping system in the Loess Plateau of China. Growing summer legumes as the green manure (GM) crop is a viable solution because of its unique ability to fix atmospheric N₂. Actually, little is known about the contribution of GM N to grain and N utilization in the subsequent crop. Therefore, we conducted a four-year field experiment with four winter wheat-based rotations (summer fallow-wheat, Huai bean–wheat, soybean–wheat, and mung bean–wheat) and four nitrogen fertilizer rates applied to wheat (0, 108, 135, and 162 kg N/ha) to investigate the fate of GM nitrogen via decomposition, utilization by wheat, and contribution to grain production and nitrogen economy through GM legumes. Here we showed that GM legumes accumulated 53–76 kg N/ha per year. After decomposing for approximately one year, more than 32 kg N/ha was released from GM legumes. The amount of nitrogen released via GM decomposition that was subsequently utilized by wheat was 7–27 kg N/ha. Incorporation of GM legumes effectively replaced 13–48% (average 31%) of the applied mineral nitrogen fertilizer. Additionally, the GM approach during the fallow period reduced the risk of nitrate-N leaching to depths of 0–100 cm and 100–200 cm by 4.8 and 19.6 kg N/ha, respectively. The soil nitrogen pool was effectively improved by incorporation of GM legumes at the times of wheat sowing. Cultivation of leguminous GM during summer is a better option than bare fallow to maintain the soil nitrogen pool, and decrease the rates required for N fertilization not only in the Loess Plateau of China but also in other similar dryland regions worldwide.     

Monitoring desertification processes in Mongolian Plateau using MODIS tasseled cap transformation and TGSI time series

Most remote sensing studies assess the desertification using vegetation monitoring method. But it has the insufficient precision of vegetation monitoring for the limited vegetation cover of the desertification region. Therefore, it offers an alternative approach for the desertification research to assess sand dune and sandy land change using remote sensing in the desertification region. In this study, the indices derived from the well-known tasseled cap transformation(TCT), tasseled cap angle(TCA),disturbance index(DI), process indicator(PI), and topsoil grain size index(TGSI) were integrated to monitor and assess the desertification at the thirteen study sites including sand dunes and sandy lands distributed in the Mongolian Plateau(MP) from 2000 to 2015. A decision tree was used to classify the desertification on a regional scale. The average overall accuracy of 2000, 2005, 2010 and 2015 desertification classification was higher than 90%. Results from this study indicated that integration of the advantages of TCA, DI and TGSI could better assess the desertification. During the last 16 years, Badain Jaran Desert, Tengger Desert, and Ulan Buh Desert showed a relative stabilization. Otindag Sandy Land and the deserts of Khar Nuur, Ereen Nuur, Tsagan Nuur, Khongoryn Els, Hobq, and Mu Us showed a slow increasing of desertification, whereas Bayan Gobi, Horqin and Hulun Buir sandy lands showed a slow decreasing of desertification. Compared with the other 11 sites, the fine sand dunes occupied the majority of the Tengger Desert, and the coarse sandy land occupied the majority of the Horqin Sandy Land. Our findings on a three or four years' periodical fluctuated changes in the desertification may possibly reflect changing precipitation and soil moisture in the MP. Further work to link the TCA, DI,TGSI, and PI values with the desertification characteristics is recommended to set the thresholds and improve the assessment accuracy with field investigation.