粪食性金龟功能群对草原牛粪分解过程中温室气体排放的影响

粪食性金龟作为生态系统的工程师,在动物粪便分解和有机质转移中具有重要作用.通过在内蒙古典型草原区设立粪分解隔离实验,设置无粪金龟处理(T0)、泥蜉金龟(Aphodius sordecens)处理(T1)、小驼嗡蜣螂(Onthophagus gibbulus)处理(T2)、2种粪金龟组合处理(T3)和仅土壤对照处理(CK...     

内蒙古典型草原文化遗址地区气候变化特征

基于内蒙古成吉思汗陵、元上都和甘珠尔庙3个典型草原文化遗址地区1960—2010年32个气象站点的日值气象观测数据,利用线性倾向估计法和M-K非参数统计检验法对研究区年平均气温、年降水量、干燥度和≥10℃年积温4个气象因子的变化情况进行了比较研究。结果表明,各研究区的气候总体一致呈现暖干化趋势,3个地区51 a来的年平均气温和年积温变化均表现为上升趋势;年降水量总体都在减少,但不同年代区间变化各异。干燥度的多年变化显著性从大到小分别为成吉思汗陵遗址地区、元上都遗址地区和甘珠尔庙遗址地区。从年均气温和年降水的突变检测来看,3个遗址地区的年均气温都有突变现象,表明研究区的年均气温波动剧烈。而成吉思汗陵遗址地区的年降水未检测到突变现象,元上都和甘珠尔庙遗址地区的年降水发生了突变,说明相对于成吉思汗陵遗址地区,这2个区域降水的变化更明显;从时间序列来看,年降水的突变较年均气温要晚。     

荒漠草原4种典型植物群落夏季土壤呼吸及枯枝落叶分解释放CO2贡献量

采用动态密闭气室分析法测定了沙蒿（Artemisia desertorum）群落、赖草（Leymus secalinus）群落、甘草（Glycyrrhizauralensis）群落和冰草（Agropyron crisatum）群落4种典型荒漠草原植物群落土壤呼吸和枯落物分解的CO2释放速率（RS＋L）、土壤呼吸CO2释放速率（RS）,利用推导法估算得到了枯落物分解的CO2释放速率（RL）及其对总释放的贡献。得到了如下结论：（1）4种群落的RS＋L差异较大,其平均值大小排序分别为冰草群落〉赖草群落〉甘草群落〉沙蒿群落,且各群落的RS＋L在1 d中是不稳定的,均表现为不对称的单峰曲线形式;土壤基础呼吸大小排序分别为冰草群落〉甘草群落〉赖草群落〉沙蒿群落,且土壤基础呼吸高的土壤,其土壤养分状况较好。（2）RS相对于气温具有时滞性,4个群落的平均值大小为冰草群落〉赖草群落〉沙蒿群落〉甘草群落。（3）RL平均值大小排序分别为冰草群落〉甘草群落〉赖草群落〉沙蒿群落;对RS＋L的贡献率大小排序为甘草群落〉冰草群落〉沙蒿群落〉赖草群落,表明RL值大的,其对RS＋L的贡献率不一定大,两者之间不存在正相关关系。不同植物群落枯落物对土壤呼吸的贡献与枯落物量、温度因子的相关关系并未表现出一致性,但与15 cm处的地温相关性最高。夏季RL对RS＋L的平均贡献量（以CO2计）在0.05~0.16 g.m-2.h-1之间,平均贡献率在12.88%~35.33%,是大气CO2的一个重要的排放源。     

荒漠草原4种典型植物群落夏季土壤呼吸及枯枝落叶分解释放CO2贡献量

采用动态密闭气室分析法测定了沙蒿(Artemisia desertorum)群落、赖草(Leymus secalinus)群落、甘草(Glycyrrhizauralensis)群落和冰草(Agropyron crisatum)群落4种典型荒漠草原植物群落土壤呼吸和枯落物分解的CO2释放速率(RS+L)、土壤呼吸CO2释放速率(RS),利用推导法估算得到了枯落物分解的CO2释放速率(RL)及其对总释放的贡献。得到了如下结论:(1)4种群落的RS+L差异较大,其平均值大小排序分别为冰草群落>赖草群落>甘草群落>沙蒿群落,且各群落的RS+L在1 d中是不稳定的,均表现为不对称的单峰曲线形式;土壤基础呼吸大小排序分别为冰草群落>甘草群落>赖草群落>沙蒿群落,且土壤基础呼吸高的土壤,其土壤养分状况较好。(2)RS相对于气温具有时滞性,4个群落的平均值大小为冰草群落>赖草群落>沙蒿群落>甘草群落。(3)RL平均值大小排序分别为冰草群落>甘草群落>赖草群落>沙蒿群落;对RS+L的贡献率大小排序为甘草群落>冰草群落>沙蒿群落>赖草群落,表明RL值大的,其对RS+L的贡献率不一定大,两者之间不存在正相关关系。不同植物群落枯落物对土壤呼吸的贡献与枯落物量、温度因子的相关关系并未表现出一致性,但与15 cm处的地温相关性最高。夏季RL对RS+L的平均贡献量(以CO2计)在0.05~0.16 g.m-2.h-1之间,平均贡献率在12.88%~35.33%,是大气CO2的一个重要的排放源。     

宁夏东北部典型荒漠草原植物群落与土壤养分特征

以宁夏东北部荒漠草原为研究区,采用野外样方调查、采样和室内植物鉴定、土壤样品测定等方法,探析研究区内植物群落物种组成与土壤养分特征,以及植物多样性指数与土壤养分的相关关系,以期为中国荒漠治理、生物资源保护与可持续性利用提供依据。结果显示:(1)研究区植物共86种,隶属61属21科,其中禾本科(18种)、豆科(16种)、菊科(13种)和藜科(11种)植物占总物种数的67.44%;(2)研究区土壤总体上呈碱性,pH值平均为8.81,全氮、全磷、有机质的质量分数(0-10 cm土层)分别为0.07-0.54、0.16-0.51、0.51-6.24 g·kg^-1;(3)研究区植物多样性指数中的Margalef丰富度指数和Shannon-Wiener多样性指数与土壤pH值呈显著负相关,与其他土壤养分的相关关系未达到显著水平,其他植物多样性指数与土壤养分的关系均未达到显著水平。研究表明,宁夏东北部荒漠草原植物种类少,禾本科、豆科植物优势明显,土壤养分条件差,土壤全氮、全磷、有机质对植物多样性指数的影响不大。     

气候变化对内蒙古荒漠化草原优势植物物候的影响

近年来,植物物候已成为全球变化敏感而准确的综合指示器。深入研究区域气候变化对草原优势牧草生长发育的影响和监测草原生态环境变化,对指导当地农牧业生产、作物品种的生态学分类、自然区划或农业气候区划的指标,提供有力的基础理论支持。文章基于内蒙古西部荒漠化草原乌审召和锡林高勒两个牧业气象试验站1983—2009年优势牧草的物候期数据和同期气象数据,在分析年平均气温、年降水量和牧草物候期各指标线性趋势的基础上,研究了气候变化对内蒙古荒漠化草原优势牧草返青、开花与黄枯日期早晚的影响,结果表明:(1)1983—2007年内蒙古荒漠化草原区年平均气温升高明显,气候倾向率在0.34～0.57℃/10a之间,年降水量无显著变化,气候朝着暖干化方向发展。(2)受春季气温和降水的影响,27年间内蒙古荒漠化草原区供试草种中,除乌审召的碱茅返青呈现明显的延后趋势,平均每年延后0.6 d外,大部分牧草发育期呈提早趋势,幅度为0.1～0.6 d/a;研究期间,优势牧草的开花期总体呈提早趋势,其中锡林高勒的霸王和猫头刺开花提早最为显著,二者始花日期平均每年提前0.5 d和1.1 d;在夏末初秋气温和降水的综合影响下,内蒙古荒漠化草原区不同站点优势牧草的黄枯期变化差异明显,其中乌审召的优势牧草黄枯均表现为显著或极显著的延后趋势,幅度为0.6 d～0.8 d/a;而锡林高勒优势牧草的黄枯期则大部分表现为不显著的提前态势,究其原因,是由于锡林高勒站点在牧草黄枯前1～2个月气温升高和降水量减少所致。(3)虽然荒漠化草原区各草种物候期均有所变化,但整体上在气候变暖的背景下,所有供试植物生长季均不同程度的延长。     

亚热带常绿阔叶林凋落叶分解过程中氮和磷在不同雨热季节的释放动态

为理解植物—土壤之间的养分联系,采用凋落物分解袋法,研究季节性降雨期间常绿阔叶林区最具代表性的马尾松(Pinus massoniana)、柳杉(Cryptomeria fortunei)、杉木(Cunninghamia lanceolata)、香樟(Cinnamomum camphora)、红椿(Toona ciliata)、麻栎(Quercus acutissima)等6种凋落叶第一年不同雨热季节分解中氮(N)、磷(P)动态及释放与富集特征.结果显示,凋落叶的N浓度随雨季的变化动态取决于树种,但除红椿以外的其它5种凋落叶在分解初期N浓度变化不明显,在雨季时期显著升高(P<0.05);6种凋落叶P浓度动态比较一致,表现为分解初期P浓度稍微下降,在雨季时期显著升高(P<0.05).历经一年的分解,红椿N、P释放率最大(分别为81.79%、54.19%),香樟N富集率最大(131.45%),马尾松的P富集率最高(268.75%),且6种凋落叶N、P释放/富集率动态均在雨季最明显.凋落叶分解过程中C/N、C/P呈现下降趋势,而N/P变化规律不一致.这些结果均表明,季节性降雨显著(P<0.05)影响凋落叶N、P动态,雨季温湿度的改变可影响N、P释放过程.     

不同干扰方式对内蒙古典型草原土壤有机碳和全氮的影响

为准确把握草原生态保护与修复工程的实施效果,并为北方草地生态保护和优化管理提供有效的科学支持,选择内蒙古典型草原退牧还草工程区为研究对象,采用野外成对取样(围栏内-围栏外)与室内分析相结合的方法,研究了休牧、补播和自由放牧3种人为干扰方式对土壤容重、含水量、有机碳和全氮含量的影响。结果表明:在0~30 cm土层,随深度的增加,不同干扰方式对各指标的影响不同,但总体上草原土壤含水量、有机碳和全氮含量表现为补播﹥休牧﹥自由放牧(P0.05);土壤容重为自由放牧休牧补播(P0.05)。随土层深度增加,除土壤容重无显著变化外(P0.05),土壤有机碳和全氮含量均呈现显著下降(P0.05);土壤含水量则相反,其中,补播处理降幅最小,自由放牧处理降幅最大。0~30 cm各土层土壤容重与土壤含水量、土壤有机碳和全氮含量都成极显著负相关关系(P0.000 1),而土壤含水量、有机碳和全氮3项指标间相互成显著正相关关系(P0.000 1)。综上所述,不同干扰方式对草地土壤理化性状有明显影响,自由放牧加速了草地土壤有机碳和全氮的损失,而补播和休牧对遏制草地退化、恢复草地功能起到了积极的作用。     

粗枝云杉不同径级根系分解过程中4种养分元素的释放特征

植物根系分解是养分元素进入土壤的重要途径之一.为了解径级对根系分解过程中养分元素释放的潜在影响,以川西亚高山针叶林中的粗枝云杉(Picea asperata)为对象,采用原位分解试验,研究云杉3个径级(0-2 mm,2-5 mm和5-10 mm)根系分解过程中钾(K)、钠(Na)、钙(Ca)和镁(Mg)元素的浓度、残留...     

典型草原不同围封年限植被-土壤系统碳氮贮量的变化

以内蒙古太仆寺旗典型草原为研究对象,研究不同围封年限下的天然草地植物和土壤有机碳、全氮贮量的变化。结果表明：与自由放牧草地相比,重度退化草地采取生长季围封恢复措施后,群落植物和土壤环境在围封8、11、14、21、25年后均得到了明显的改善,地上植物和地下根系生物量及其碳氮贮量、土壤碳氮贮量明显增加,土壤容重降低。自由放牧地和围封8、11、14、21年植物-土壤系统碳贮量分别为7 357.93、7 988.27、8 413.18、12 878.82、8 934.66 g.m-2,氮贮量分别为427.78、494.28、575.49、707.35、615.09 g.m-2。草地围封至14年植物和土壤各项理化性质达到最大值,使得植物-土壤系统的碳氮贮量分别是自由放牧地的1.75和1.65倍,说明植被与土壤间达到了良性循环的状态,退化草地正向演替。随着围封年限的继续增加,其各项指标出现下降趋势。由此可知,季节性围封措施在一定时间内可使退化草地的土壤-植物系统的碳氮贮量增加,草地在一定程度上得到恢复,但适宜的恢复时间和合理利用问题有待进一步讨论。     

A grassland ecosystem model of the Xilingol steppe, Inner Mongolia, China

The natural grassland ecosystem of the Xilingol steppe has traditionally been the source of the most productive and highest quality agriculture in northern China. Unfortunately, the area is now experiencing degradation due to resource overuse. In an attempt to forecast grassland production and to sustain the ecosystem, we built a time-dependent simulation model of the ecosystem based on long-range weather forecasts (several weeks to several months). The model incorporated five state variables including above- and belowground biomass, the amount of standing dead plant material, livestock (sheep) weight, and the amount of excrement per unit ground area. Within the model, solar light energy is fixed by grassland vegetation and flows through the other variables via a variety of organism-environment interactions. The model was written using a set of simultaneous differential equations and was numerically analyzed. The values of the time-dependent parameters controlling energy flow were determined based on data accumulated in experiments and field surveys executed at a grassland experimental station located in Xilingol, as well as by reference to related literature. We used daily meteorological data including air temperature and rainfall recorded at the Xilinhot Meteorological Observatory. Simulated results for several stocking densities coincided well with the data of aboveground plant biomass observed at the experimental station in 1990, 1993, and 1997. We obtained reasonable simulation results for five stocking densities, three air temperature patterns, and five rainfall patterns. When a month-long drought, which sometimes occurs in this area, was forecast by a local weather station, a decrease in grassland production was forecast by the model. Such forecasts will assist in the management of livestock, forage preservation, and grassland conservation.     

内蒙古地区近25年植被对气温和降水变化的影响

利用1982—2006年内蒙古地区GIMMS-NDVI和降水量、气温数据,分析了不同植被类型对气温和降水变化趋势的影响。结果表明：近25年来内蒙古地区气温整体上呈上升趋势,降水量呈微弱降低趋势,西部荒漠区呈暖湿化趋势,中东部草原、森林等植被类型区呈暖干化趋势;从不同植被类型NDVI与平均气温和降水量的变化趋势率相关分析表明,NDVI值越低,升温趋势越明显,其中春季和秋季各植被类型间NDVI与季均气温升高趋势率呈显著和较显著的相关,夏、冬季关系不明显;植被NDVI越高,降水量减少趋势越明显。基于栅格的NDVI与气温升高幅度、降水变化趋势相关分析表明,年均气温升高幅度基本随NDVI的增加而降低,其中春、夏和秋季的季均气温升高幅度均随NDVI的增加而显著降低,冬季趋势不明显;而年降水量减小趋势率随植被NDVI的增加而显著增加,其中春季和冬季NDVI变化对降水的变化几乎没有影响;夏季和秋季均表现为随NDVI的增加,降水减小趋势率呈增加趋势。     

牦牛粪便对川西北高寒草甸土壤养分的影响

川西北高寒草甸是我国四大牧区之一,也是"长江上游生态屏障"建设的重要"生态功能区"之一.近年来牦牛粪便被大量出售,显著地改变了生态系统的养分循环.通过模拟牛粪堆积,研究了牦牛粪便养分释放及其对周围土壤养分(NO3--N、NH4--N、速效K、无机P、有机C、全N和全P)在不同时间和距离条件下的影响.结果表明,在研究区域内,牛粪对草地生态系统具有较强的养分(N、P)贡献能力,据初步统计,其值大致为N素699～932 kg hm-2,P素为110～147 kg hm-2;牛粪养分在夏季具有较快的分解速率,在3 mo左右之后基本分解殆尽;粪便在短期内能显著提高粪下土壤养分的含量,其中,对No3--N含量的提高最为明显,在2 mo左右之后其含量达到初始态的8.4倍,在实验后期,粪便对土壤养分的影响作用逐渐消失;粪便在夏季对周围10 cm内土壤的养分(NO3--N、NH4+N、速效K和无机P)含量能产生显著影响(P<0.05),但影响范围难以达到周围30 cm左右.与通常结论不同的是,在整个实验周期内,牦牛粪便并没有显著提高土壤有机C、全N和全P的含量.图4表1参31     

内蒙古典型草原土壤的氟含量

对内蒙古草原区典型草原不同区域内土壤氟水平及分布规律进行了研究。结果表明，典型草原土壤氟含量从东到西呈上升趋势，典型草原土壤表层氟含量平均值为２８５．４６ｍｇ／ｋｇ，与国内外有关文献值相比属中等水平，处于内蒙古土壤表层氟背景值范围内。     

Impacts of changes in rangeland management laws and policies on grazing flexibility and pastoral livelihoods in Inner Mongolia,China

Inner Mongolia is an autonomous region of China and has a long history of pastoralism. It is a predominately arid and semi-arid region with annual precipitation of 20–500 mm from the west to east. Prior to intervention of modern rangeland management laws and policies, the pastoralists in Inner Mongolia responded to variability in ecological condition and patchiness of rangeland resources via flexible rangeland management. However, since the 1950s, some rangeland management laws and policies have affected the flexibility of rangeland management in Inner Mongolia. This study investigated the impacts of changes of rangeland management laws and policies on grazing flexibility in Inner Mongolia, and discussed whether it is desirable to allow flexibility of grazing management in Inner Mongolia, and what are the possible directions to encourage the flexibility. First, the study investigated the historical and current policies of rangeland management in Inner Mongolia from the perspective of property rights. Second, the study identified and analysed how some of the previous collectivisation and privatisation policies of the rangeland resources and livestock have affected grazing flexibility in this region. Third, this study discussed whether a higher level of flexibility of grazing management is desirable in Inner Mongolia and gave recommendations on the possible directions to encourage the flexibility of grazing management. The study drew on theories of rangeland management in Inner Mongolia, Mongolia and parts of Africa and has increased the understanding of grazing flexibility in Inner Mongolia. It is a step towards more sustainable rangeland management and development in Inner Mongolia.     

Arsenism Clinical Stages and their Relation with Hair Arsenic Concentration of Residents of Bayinmaodao Rural District, Inner Mongolia, China

The clinical skin lesions of arsenism in men and women in Bayinmaodao rural district in Inner Mongolia, Peoples Republic of China, have been examined by doctors, and their hair and drinking water samples analysed for arsenic by hydride generation and ICP-AES. Altogether 311 arsenism patients with a 15.53% prevalence rate for the district were recorded. The disease prevalence rate was positively related to population, age, and their exposure to elevated arsenic concentrations in the drinking water from 1983 when new wells were dug and drinking of surface water was abandoned. Hyperkeratosis was the most serious skin lesion with the highest occurrence rate, then depigmentation and pigmentation in decreasing order. With increasing severity of the disease, ranging from skin lesion with single hyperkeratosis 1° to hyperkeratosis 3° with depigmentation 3° and pigmentation 3°, the results showed that arsenic concentrations in head hair had increased. Arsenic concentrations in hair were positively correlated with the arsenic concentrations in drinking water obtained from local wells.     

Characteristics of Environmental Geochemistry in the Arseniasis Area of the Inner Mongolia of China

In China, endemic arseniasis attributable to the geological-geochemistry environment is mainly found in the plain of the Great Bend of the Yellow River and the Hu-Bao plain in the Inner Mongolia Autonomous Region, in the Datong basin of Shanxi Province, the floodplain of the northern side of the Tian Mountain of Xinjiang Uygur Autonomous Region, and in the southwest coastal plain of Taiwan. These areas share many similar characteristics including widespread occurrences, a large population being affected, and the magnitude of risk involved. The population living in these areas is estimated to be around 5.5 × 10⁵, of which of 2.5 × 10⁵ are resident in Inner Mongolia. Based on our systematic research and comparison of various areas, we found the different types of arseniasis are often associated with different regions. The neural arseniasis is distributed in Xinjiang Uygur Autonomous Region and Shanxi Province, caused by inorganic arsenic in drinking water while the cycling-obstacle arseniasis is mainly found in Inner Mongolia and Taiwan, associated with organic arsenic in water. The distribution of arsenic affected villages in Inner Mongolia exhibits orientation and focus on low-lying land in the subsiding centre of the Great Bend basin, which was enriched with humus in the lake and limnetic deposits. Much CH₄ gas can be detected in the water of shallow and deep wells in these villages. Some of the wells with higher concentrations of CH₄ can even be ignited. This is a typical reductive geochemical environment. We tested the total amount of arsenic (As), As³⁺, and methyl arsenate in all types of water sources. It is found that the number of arseniasis cases is not clearly related to the total amount of arsenic (As) in the water. However, it is related to the ratio of As³⁺ plus methyl arsenic to the total amount of arsenic (As). The higher the ratio, the higher the number of people affected and the more serious the illness. The statistical results also indicate that good drinking water accounts for 60% of the drinking water source while the arsenic contaminated water makes up about 25% of the drinking water in the study area. This research reveals that the local geochemical environment is responsible for the spreading of the endemic arseniasis in the area and thus suggests a new direction of how to prevent such disease.     

内蒙古呼和浩特市大气TSP和PM_(10)中PAHs的健康风险评价

于2012—2013年6月和12月采集了内蒙古呼和浩特市大气颗粒物样品,用GC-MS分析测定其中16种PAHs的浓度,并用苯并(a)芘(Ba P)致癌、致突变等效浓度、终身致癌超额危险度和预期寿命损失3个指标评价了内蒙古呼和浩特市大气颗粒物TSP和PM_(10)中PAHs的人群健康风险。结果显示:内蒙古呼和浩特市大气颗粒物TSP和PM_(10)中PAHs对成人、儿童的日均暴露剂量范围分别为0.71×10~(-6)~2.01×10~(-6)、0.45×10~(-6)~1.28×10~(-6)和0.31×10~(-6)~2.41×10~(-6)、0.19×10~(-6)~1.15×10~(-6)mg·kg~(-1)·d~(-1);TSP和PM_(10)中PAHs对成人和儿童的终身致癌超额危险度范围分别为2.21×10~(-6)~6.24×10~(-6)、1.41×10~(-6)~3.97×10~(-6)和0.95×10~(-6)~7.47×10~(-6)、0.60×10~(-6)~4.75×10~(-6),终身致癌超额危险度均处于可接受水平范围内(10-4~10~(-6))。TSP和PM_(10)中PAHs对成人和儿童的预期寿命损失范围分别为13.74~38.78、8.752~24.70和5.88~46.39、3.74~29.54 min。     

The Relationship Between Exposure to Arsenic Concentrations in Drinking Water and the Development of Skin Lesions in Farmers from Inner Mongolia, China

Associations between the concentration of arsenic naturally occurring in drinking water and the development of skin lesions in people have been documented for some years at various locations around the world. Data on the exposure-response relationship between concentrations of arsenic in drinking water and prevalence of skin lesions in farmers from five locations in Inner Mongolia, China have been collected from the original publications and re-analysed together as a meta-study. The calculated data show a positive linear exposure-response relationship without a threshold. The reasons for this linear correlation are discussed and compared with the data from Xinjiang, another arsenism area located in a different geographical area of China. Here a different relationship was recorded that involved a threshold concentration before skin lesions developed. The significance of these two different exposure-response scenarios is discussed.     

A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia,China

Two models, artificial neural network (ANN) and multiple linear regression (MLR), were developed to estimate typical grassland aboveground dry biomass in Xilingol River Basin, Inner Mongolia, China. The normalized difference vegetation index (NDVI) and topographic variables (elevation, aspect, and slope) were combined with atmospherically corrected reflectance from the Landsat ETM+ reflective bands as the candidate input variables for building both models. Seven variables (NDVI, aspect, and bands 1, 3, 4, 5 and 7) were selected by the ANN model (implemented in Statistica 6.0 neural network module), while six (elevation, NDVI, and bands 1, 3, 5 and 7) were picked to fit the MLR function after a stepwise analysis was executed between the candidate input variables and the above ground dry biomass. Both models achieved reasonable results with RMSEs ranging from 39.88% to 50.08%. The ANN model provided a more accurate estimation (RMSE_r = 39.88% for the training set, and RMSE_r = 42.36% for the testing set) than MLR (RMSE_r = 49.51% for the training, and RMSE_r = 53.20% for the testing). The final above ground dry biomass maps of the research area were produced based on the ANN and MLR models, generating the estimated mean values of 121 and 147 g/m², respectively.