Characterizing long-term forest disturbance history and its drivers in the Ning-Zhen Mountains,Jiangsu Province of eastern China using yearly Landsat observations (1987–2011)

Forest losses or gains have long been recognized as critical processes modulating the carbon flux between the biosphere and the atmosphere. Timely, accurate and spatially explicit information on forest disturbance and recovery history is required for assessing the effectiveness of existing forest management. The major objectives of our research focused on testing the mapping efficacy of the vegetation change tracker (VCT) model over a forested area in China. We used a new version of VCT algorithm built upon the Landsat time series stacks (LTSS). The LTSS consisted of yearly image acquisitions to map forest disturbance history from 1987 to 2011 over the Ning-Zhen Mountains, Jiangsu Province of east China. The LTSS consisted of TM and ETM+ scenes with different projections due to distinct data sources (Beijing remote sensing ground station and the USGS EROS Center). The validation results of the disturbance year maps showed that most spatial agreement measures ranged from 70 to 86 %, comparable with the VCT accuracies reported for many places in USA. Very low accuracies were identified in 1995 (38.3 %) and 1992 (56.2 %) in the current analysis. These resulted from the insensitivity of the VCT algorithm to detect low intensity disturbances and also from the mis-registration errors of the image pairs. Major forest disturbance types existing in our study area were identified as agricultural expansion (39.8 %), urbanization (24.9 %), forest management practice (19.3 %), and mining (12.8 %). In general, there was a gradual decreasing trend in forest cover throughout this region, caused principally by China’s economic, demographic, environmental and political policies and decisions, as well as some weather events. While VCT has largely been used to assess long term changes and trends in the USA, it has great potential for assessing landscape level change elsewhere throughout the world.     

Mapping soil salinity and pH across an estuarine and alluvial plain using electromagnetic and digital elevation model data

Increasing pressures from agriculture and urbanization have resulted in drainage of many floodplains along the eastern Australian coastline, which are underlain by sulphidic sediments, to lower water tables and reduce soil salinity. This leads to oxidation of the sediments with a rapid decline in pH and an increase in salinity. Accurately mapping soil salinity and pH in coastal acid sulphate soil (CASS) landscapes is therefore important. One required map is the extent of highly acidic (i.e. pH < 4.5) areas, so that the application of alkaline amendments (e.g. lime) to neutralize the acid produced can be specifically targeted to the variation in pH. One approach is to use digital soil mapping (DSM) using ancillary information, such as an EM38, digital elevation models (DEM – elevation) and trend surface parameters (east and north). We used an EM38 in the horizontal (EM38h) and vertical (EM38v) modes together with elevation data to develop multiple linear regressions (MLR) for predicting EC_1:5 and pH. For pH, best results were achieved when the EM38 EC_a data were log‐transformed. By comparing MLR models using REML analysis, we found that using all ancillary data was optimal for mapping EC_1:5, whereas the best predictors for pH were north, log‐EM38v and elevation. Using residual maximum likelihood (REML), the final EC_1:5 and pH maps produced were consistent with previously defined soil landscape units, particularly CASS. The DSM approach used is amenable for mapping saline soils and identifying areas requiring the application of lime to manage acidic soil conditions in CASS landscape.     

栽培介质、pH值和氮形态对毛竹幼苗地上部分生长的影响

为进一步明确毛竹幼苗无土栽培的最佳条件,阐明毛竹N形态响应差异的影响因素,加快毛竹实生苗的培育.研究超纯水、砂和蛭石3种栽培介质,2 mM不同N形态(NH4+-N、NO3--N)以及3种pH值(3.8、5.8、7.8)处理对毛竹幼苗地上部的苗高、叶片数、叶绿素相对含量(SPAD)及地上部生物量的影响.结果表明:在蛭石和水培时,毛竹生长表现出明显的喜铵性,并且在pH为3.8时生长最好;而砂培时,毛竹幼苗生长对NH4+-N和NO3--N以及pH的响应差异都不明显.相关性分析结果表明,对地上部生长的影响为:栽培介质>pH值>N形态.毛竹幼苗生长及对不同N形态的响应受外界环境条件影响,在蛭石中栽培,供应NH4+-N为主、pH值为3.8的营养液,其生长最好.研究结果可为毛竹幼苗的无土栽培和繁育提供理论参考.     

北京市水产职业技能鉴定培训中的新模式—田间学校

为进一步开辟北京地区水产职业技能鉴定培训新的工作方法,探索长期有效地运行机制,通过对获得的信息进行综合分析,提出以农民田间学校为载体的培训新模式。     

论人才培养的目标定位与特色发展——基于福建省20所高校2012-2014年《本科教学质量报告》的文本分析

目标定位与特色发展是高校人才培养的关键点.基于福建省2012-2014年20所公办本科高校的《本科教学质量报告》文本分析,结果表明:高校能较为紧密地结合国家、区域经济、行业及自身实际等对人才培养进行目标定位与特色发展,但地方高校在发展过程中,还应处理好顶天与立地、趋同与存异、升格与转型三者间关系,走出一条更切合自身实际的特色发展道路.     

不同单酶制剂混合检测对比研究

试验以木聚糖酶、纤维素酶、淀粉酶和酸性蛋白酶为对象,首先研究了酸性蛋白酶分别和其他3种单酶进行混合后酶活测定值变化情况,结果表明,酸性蛋白酶对其他3种单酶的检测结果没有影响;试验第二部分研究了4种单酶整体混合在一起后各单酶测定值的变化情况,结果表明,木聚糖酶测定值出现很大偏高,其他3种单酶测定结果未出现显著偏差;进行进一步论证试验表明,淀粉酶可能是使木聚糖酶测定结果偏高的原因。     

基于超平面构建的高光谱异常目标检测方法

高光谱遥感影像具有光谱分辨率高、图谱合一的特点,影像中的地物组成也多种多样,针对图像数据中目标出现概率较小、检测概率较低等问题,本文提出了基于超平面构建的高光谱数据目标异常检测方法。它通过对高光谱数据的结构分析,构建出高维空间中的背景超平面算子,以待测像元在其正交子空间的投影值来表征异常程度的大小。通过OMIS和AVIRIS实测数据验证,并与RX算法相比较,基于超平面构建的高光谱异常检测算法能够在多种背景环境下检测出纯度高、光谱差异大的异常像元,并具有较高的检测率和较低的虚警率,因此具备了有效性和较好的实用性。     

“中国春”小麦不同缺体的RAPD分析

利用ＰＣＲ－９０Ａ型ＤＮＡ扩增仪，对７个中国春小麦缺体核ＤＮＡ进行了扩增。结果显示，中国春小麦缺体核ＤＮＡ的ＲＡＰＤ产物可分为二种类型：（１）所有供试材料均能扩增出的片段，代表了核ＤＮＡ在进化上的保守性。有一个引物检测到这类片段。（２）全部供试材料间存在的差异片段，这类片段是用来基因定位的主要依据。另外，建立中国春小麦缺体系统的ＲＡＰＤ指纹图谱对研究小麦的系统进化也将有重要意义     

Effects of dietary oregano essential oil supplementation on growth performance,intestinal antioxidative capacity,immunity, and intestinal microbiota in yellow-feathered chickens

Essential oils are plant-derived aromatic volatile oils, and they contain bioactive compounds that have been shown to improve poultry nutrition. In this study, we investigated the effects of oregano essential oil (OEO) on intestinal antioxidative capacity, immunity, and gut microbiota of young yellow-feathered chickens. A total of nine hundred and sixty 1-d-old female Qingyuan partridge chickens were randomly allocated to four treatment groups with six replicates of 40 birds each, and the feeding trial was lasted for 30 d. The controls were fed on a basal diet without in-feed antibiotics; the birds in the antibiotic group were fed the basal diet supplemented with 20 mg/kg virginiamycin; the remaining birds were fed the basal diet containing 150 or 300 mg/kg OEO, respectively. Dietary supplementation with 150 or 300 mg/kg OEO increased average daily feed intake (P = 0.057) and average daily gain (P < 0.05). The activities of glutathione peroxidase and total antioxidative capacity in plasma, jejuna, and ileal mucosa were increased by OEO supplementation (P < 0.05), with a trend of lower jejunal content of malonaldehyde (P = 0.062). Moreover, dietary OEO increased the content of secretory immunoglobulin A (P = 0.078) and the relative expression of Claudin 1, Mucin 2, and Avain beta-defensin 1 in ileum (P < 0.05). Sequencing data of 16S rRNA indicated that dietary OEO increased the relative abundance of Firmicutes phylum, and Clostridium and Lactobacillus genera, and decreasing that of Romboutsia. Functional analyses indicated that microbial amino sugar and nucleotide sugar metabolism, replication, and repair systems were higher in OEO groups than those of controls and antibiotic treatment. In conclusion, dietary supplementation with OEO enhanced growth performance, alleviated local oxidative stress in intestine, improved production of natural antibodies, and favorably modulated intestinal microbiota composition.