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。     

黄土丘陵半干旱区几种牧草蒸腾作用的研究

蒸腾是牧草生理生态特性的主要指标,也是植物体内水分平衡的主要环节。它能调整植株体温、缩小叶肉细胞内水分饱和差与大气水分饱和差之间的梯度,调节水分的损失,保证植物体内水分的有效利用,借以抵抗或降低水胁迫对植物的影响。我们在1983～1985年对五种栽培牧草蒸腾强度在生长期和生长末期的日变化,以及这些变化与环境因子的关系进行了研究,有助于了解不同栽培牧草在半干旱条件下对水分的需求,为黄土丘陵半干旱区牧草品种的选择提供科学依据。自然概况试验设在宁夏固原东部黄土丘陵区的万亩人工改良草地。海拔1600-1850米,年平均气     

黄土低山丘陵及坨甸草原区风蚀规律的研究

本文通过对黄土低山丘陵及坨甸草原区248个风蚀图斑资料的分析,运用线性模型理论,对此地区的风蚀规律进行了研究。获得了下垫面各因素与风蚀量关系的数学模型。找出了影响风蚀的主导因素,并系统阐述了植被覆盖度和土地利用类型对风蚀量大小的影响,且与水蚀规律进行了比较分析。     

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。     

宁夏绿洲禾豆牧草混播组合及其比例效应

在宁夏中部半干旱带有补灌的条件下,以紫花苜蓿(Medicago sativa)、沙打旺(Astragalus adsurgens)、羊草(Leymus chinensis)和老芒麦(Elymus sibiricus)为试验材料,豆科与禾本科牧草分别按照3∶7、5∶5、7∶3共3种不同比例进行混播,研究了不同混播组合及比例对其经济投入产出比、干草及主要营养成分产量、相对总产量及竞争力等方面的影响。两年的试验结果表明,3种豆禾牧草混播比例的产量均显著大于单播禾本科牧草的产量(P0.05)。苜蓿与禾本科牧草混播组合2013年及2014年的产量均显著高于沙打旺与禾本科牧草的混播组合(P0.05),其中,紫花苜蓿∶羊草为7∶3的混播组合的产量为最高(P0.05),粗蛋白和粗脂肪的总产量最高且投入产出比最低。紫花苜蓿+禾草组合中豆科牧草竞争力均大于相同比例下沙打旺+禾本科牧草组合中豆科牧草竞争力。沙打旺+禾本科牧草混播组合中,相对总产量(RYT)大于1的组合多于紫花苜蓿+禾本科牧草混播组合,其中,沙打旺∶羊草为7∶3的混播组合的两年平均RYT最高。以上结果说明,在宁夏中部半干旱带建植栽培草地时,紫花苜蓿∶羊草为7∶3的混播组合有较好的产量效应和最低的投入产出比;而沙打旺∶羊草为7∶3的混播组合中不同物种生长较为均衡。     

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.