安卓手机的草地信息协同采集系统

针对传统的草地资源调查方法流程繁琐、效率较低、多人协同能力较差等问题,该文提出了基于安卓手机的草地信息协同采集系统架构,设计了位置获取、地图显示、采样规划、信息采集、数据展示、报表生成、数据同步等系统核心功能模块,并应用Java语言开发,完整实现了系统各项功能。在内蒙古自治区及河北省的野外考察验证表明,该系统能够满足草原监察和科研部门对于草地资源调查的基本需求。     

地球化学组成揭示的杜蒙沙地化学风化和沉积再循环特征及其对风尘物质贡献的指示

对杜蒙沙地的河流冲积砂、河漫滩泥质粉砂、沙质古土壤和风成沙等不同类型沉积物进行了采样（27组）,对这些样品的细颗粒组分（<63 μm）进行了常量元素、微量元素、稀土元素（REE）和Sr-Nd同位素比值等地球化学分析,就杜蒙沙地的化学风化、沉积再循环特征及其对风尘物质的贡献等展开了讨论。结果显示,杜蒙沙地的地球化学组成表现出空间的均一性,低的化学蚀变指数CIA（48~56,平均52）及A-CN-K和A-CNK-FM图解均表明了杜蒙沙地仅遭受了低级的化学风化程度。沙地的成分成熟度较低,大部分河流沉积物表现出初次循环沉积特征,系大兴安岭东侧中酸性岩浆母岩风化剥蚀的产物经嫩江搬运堆积形成;古土壤表现出与河流沉积物相同的初次循环特征,表明古土壤的成土母质是河流沉积物,这与野外地层出露情况一致;风成沙表现出再循环沉积特征,系河流沉积物就地起沙搬运堆积形成。不活动元素比值、REE和Sr-Nd同位素比值等物源判别图解,结合植被和地貌状况,一致表明杜蒙沙地与东北平原中东部的风尘物质没有地球化学亲缘关系,其对该地区（甚至下风向更远地区）的大气风尘的贡献很小。     

发展草地农业推进我国西部可持续发展

在我国,人与草地的关系经历了4个发展阶段,最终应发展成为草地农业生态系统,这是人类与自然和谐共处的可持续发展模式,人工草地的作用不容忽视。根据草地资源、草业经济结构和生产水平状况,我国西部10省、自治区、直辖市可分为6个发展区域,各区域可因地制宜地发展各具特色的草地农业系统,同时区域之间可以实行广泛的系统耦合;建议设立6个草地农业示范项目和3个研究性生产基地。     

Vertical distribution of Artemisia halodendron root system in relation to soil properties in Horqin Sandy Land, NE China

Root distribution plays an important role in both vegetation establishment and restoration of degraded land through influencing soil property and vegetation growth. Root distribution at 0~60 cm depth of A. halodendron was investigated in Horqin Sandy Land. Soil organic carbon (SOC) and nitrogen (SN) concentration as well as carbon and nitrogen in root biomass and necromass were measured. Root length density (RLD) was estimated. Total root biomass, necromass and the RLD at 0~60 cm depth was 172 g/m², 245 g/m², and 368 m/m², respectively. Both biomass and necromass of A. halodendron roots decreased with soil depth, live roots were mainly at 0~20 cm (76% of biomass and 63% of root length), while 73% of the necromass was within 0~30 cm depth. N concentration of roots (biomass and necromass) was about 1.0% and 1.5%, respectively. There were significant differences in SOC concentration between soil layers, but insignificant for SN. Soil C/N ratio decreased with depth (P<0.05). C and N storage for belowground system at 0~60 cm decreased markedly with depth; 41.4% of C and 31.7% of N were allocated to the 0~10 cm layer. Root bio- and necromass together contained similar amount of C to that of the soil itself in the top layer. N stock was dominated by soil nitrogen at all depths, but more so in deeper layers. It is clear that differentiating between soil layers will aid in interpreting A. halodendron efficiency in soil restoration in sandy land.     

Multispectral remote sensing for mapping grassland degradation using the key indicators of grass species and edaphic factors

Land degradation is believed to be one of the most severe and widespread environmental problems. In South Africa, large areas of land have been identified as degraded, as shown by the lower vegetation cover. One of the major causes of grassland degradation is change in plant species composition that leads to presence of unpalatable grass species. Some grass species have been successfully used as indicators of different levels of grassland degradation in the country. This paper, therefore explores the possibility of mapping grassland degradation in Cathedral Peak, South Africa, using indicators of grass species and edaphic factors. Multispectral SPOT 5 data were used to produce a grassland degradation map based on the spatial distribution of decreaser (Themeda triandra) and increaser (Hyparrhenia hirta) species. To improve mapping accuracy, soil samples were collected from each species site and analysed for nutrient content. A t-test and machine learning random forest classification algorithm were applied for variable selection and classification using SPOT 5 data and edaphic variables. Results indicated that the decreaser and increaser grass species can be mapped with modest accuracy using SPOT 5 data (overall accuracy of 75.30%, quantity disagreement = 2 and allocation disagreement = 23). The classification accuracy was improved to 88.60%, 1 and 11 for overall accuracy, quantity and allocation disagreements, respectively, when SPOT 5 bands and edaphic factors were combined. The study demonstrated that an approach based on the integration of multispectral data and edaphic variables, which increased the overall classification accuracy by about 13%, is a suitable when adopting remote sensing to monitor grassland degradation.     

渤海自由生活海洋线虫两个新种(英文)

渤海自由生活海洋线虫两个新种,海异齿线虫Parodontophora marina n.sp.(嘴刺目、轴线虫科)和异毛联体线虫Paracomesoma heterosetosum n.sp.(色矛目、联体线虫科);前者来自渤海莱州湾的DA_2和DA_4站,水深分别为20和16m;后者来自大连夏家河子砂质滩中潮带。新种海异齿线虫与日本海齿线虫(P.marisjaponici Platonova,1971)十分相似,但新种有规则排列的颈刚毛(雄性和雌性的颈刚毛排列式均为(3D—2V)2,排泄细胞大且排泄孔开口于口腔中部的腹部表面。新种异毛联体线虫的雄性交接器为本属相对最长者,为肛径的7倍,化感器之后成对的颈刚毛以及de Man比值明显地高于本属所有的种。本文提供了包括这两个新种在内的两个属双歧式检索表。模式标本保存在青岛海洋大学海洋生物系。     

The influence of environmental factors on the abundance and recruitment of the sand crab Emerita analoga (Stimpson 1857): Source–sink dynamics?

The sandcrab Emerita analoga is the dominant species inhabiting sandy beaches along the Pacific coast of the American continent. In our study, 10 sandy beaches were sampled seasonally from 2006 to 2011, including coastal planktonic sampling from 2006 to 2008. Two major population cores were detected, the first one in the northern part of the study area and the second in the area immediately to the south of the Itata River mouth. Zoeal stages were found along the entire coastal zone. Highest densities and recruitment were found during spring and summer of each year. PLS regression indicated that source–sink habitat proxies correlated positively with morphodynamic parameters; while beach slope and total organic matter were negatively correlated. These results agree with the source–sink hypothesis, finding higher densities of adults, recruits and cohort recurrence on open coast beaches with milder physical dynamics. Furthermore, a hypoxic event and a mega-earthquake/tsunami negatively affected recruitment at the inter-annual scale.     

Response of plant growth to surface water balance during a summer dry period in the Kazakhstan steppe

In drylands, water deficit is the primary factor limiting plant growth. In the present study, surface energy balance and plant growth (above‐ground and below‐ground biomass) were measured continuously during the 2002 growing season in semiarid grassland in the northern part of Kazakhstan, Central Asia. Although there was above normal total rainfall during the 2002 growing season (May–November; 244 mm over 183 days), there was a dry period during July and August. Evaporative water was effectively supplied by precipitation and surface soil moisture during the wet season (May and June), during which time above‐ground biomass increased. During the early stages of the dry period, mature plants were likely to tap deeper sources of soil moisture, representing stored snowmelt water. As the soil moisture content decreased during the summer dry period due to the high levels of evapotranspiration and lack of precipitation, the evaporative fraction and above‐ground biomass rapidly decreased, whereas the below‐ground biomass increased. These results suggest that in summer, soil moisture acts to store water, and that soil moisture is essential for plant growth as a direct source of water during the dry period in natural grasslands in the Kazakhstan steppe. Copyright © 2007 John Wiley & Sons, Ltd.     

内蒙古典型草原区域Palmer气象干旱指数适用性分析

本研究选取我国内蒙古典型草原下垫面区域,进行PDSI在半干旱半湿润典型草原下垫面下的适用性分析。从各单点PDSI结果与区域平均PDSI的相关性结果以及PDSI与降水距平百分率、标准化降水蒸散指数、归一化植被指数以及实际干旱记载对比分析可以看出,PDSI结果与其余各干旱指标对比分析结果无论在时间趋势的一致性还是空间分布的吻合程度方面均很好的对应,说明PDSI在典型草原下垫面区域具有较好适用性,能很好反映此类下垫面状况下的干湿状况;同时,PDSI在指示频繁交替的旱涝时存在时间滞后性。研究结果可为PDSI在类似区域的精细化应用及在其余下垫面状况下的适用性分析提供参考。     

基于高光谱数据和RBF神经网络方法的草地叶面积指数反演

基于中国农业科学院在呼伦贝尔草原实测的120组草地冠层光谱反射率及相应的叶面积指数(LAI)数据,在进行主成分分析(PCA)实现降维处理的基础上,利用径向基函数(radial basis function,RBF)神经网络方法对草地LAI进行了高光谱反演研究.PCA结果表明,前9个主成分的累积贡献率达到了99.782％,能包含原光谱数据的绝大部分信息.将120组LAI及相应的9个主成分样本数据随机分为校正集数据(90组)和预测集数据(30组),分别用于神经网络模型的建立和LAI的预测.所构建的神经网络模型的模拟结果表明,RBF神经网络模型对校正集样本的模拟准确率达到100％(RMSE =0.009 6,R2 =0.999);预测集样本的实测LAI和模拟LAI之间的均方误差和决定系数分别为0.218 6和0.839,取得了较好的模拟效果,有效提高了传统的多元线性回归方程(RMSE =0.416 5,R2=0.570)的计算精度.