基于Landsat和MODIS数据融合的农牧区NPP模拟

天山北坡是中国重要的农牧业发展基地,利用遥感数据准确获取植被净初级生产力(Net primary productivity,NPP)的时空信息,对于合理分配农牧业草地资源具有重要意义。由于受到天气影响及卫星传感器受到时间分辨率和空间分辨率的限制,获取既具有中空间分辨率、又具有高时间分辨率的遥感数据比较困难。本文基于中空间分辨率Landsat 8 OLI数据与高时间分辨率MODIS数据,采用遥感数据时空融合STARFM算法,获取中空间分辨率和高时间分辨率序列的遥感数据,以天山北坡中段区域为实验区,结合CASA模型,对区域内植被NPP进行模拟。结果表明,2016年内8个时期,融合后的NDVI数据与对应时刻的Landsat 8 OLI NDVI数据的相关系数不小于0.759,偏差在0.006 2～0.009 4之间,均方根误差在0.074～0.135之间;利用融合数据与CASA模型协同模拟的NPP具有良好的空间细节信息,NPP模拟值与野外实测值决定系数R~2为0.860 1,表明两者具有较好的相关性。本研究为多源遥感影像融合技术与光能利用率模型协同模拟NPP提供了新的思路。     

陕西省关中地区农田生态系统碳源/汇估算

运用改进的CASA(carnegie ames stanford biosphere)模型,基于化肥、农膜、农地翻耕、农机运用4类主要碳排放,结合2010年相关遥感数据和统计数据,以县(区或市)为单元对陕西省关中地区农田生态系统碳吸收、碳排放及净碳汇进行了测算。结果表明:(1)研究区碳吸收总量约为6.44×106 t,其中6,7,8月为碳吸收高值月,12,1,2,3月为碳吸收低值月。碳吸收量高于2.0×105 t的县(区或市)分布在宝鸡市北部,咸阳市西部,渭南市中部和西南部。(2)研究区碳排放总量约为1.41×106 t,农用化肥为主要碳排放源,约占89%。碳排放量超过6.00×104 t的县(区或市)分布在渭南市中部、咸阳市中部偏南。(3)研究区净碳汇总量约为5.03×106 t,各县(区或市)净碳汇量均为正值。净碳汇总量超过2.00×104 t的县(区或市)主要分布在关中地区西北部。     

Sperm production and quality in European eel (Anguilla anguilla) in relation to hormonal treatment

Aquaculture production relies on controlled management of gametogenesis, especially in species where assisted reproduction is needed for obtaining gametes in captivity. The present study used human chorionic gonadotropin (hCG) treatments to induce and sustain spermatogenesis in European eel (Anguilla anguilla). The aim was to evaluate effects of strip-spawning timing (12 vs. 24 hr) after weekly administration of hCG and the necessity of a primer dose (in addition to weekly hormonal treatment) prior to strip spawning (primer vs. no-primer) on sperm quality parameters. Sperm parameters included milt production (weight), density and sperm kinematics at Week 9, 11 and 13 after onset of treatment. Spermiation commenced in 11.5% of males in Week 5 and by Week 9, and all males produced milt. Male weight, milt production, sperm density and spermatocrit did not differ among hormonal treatments during the experimental period. Overall, male weight decreased from 106.3 to 93.0 g, milt weight increased from 3.5 to 5.4 g, sperm density counts decreased from 11.7 × 10⁹ to 10.5 × 10⁹ cells/ml, and spermatocrit decreased from 46.5% to 40.5%. Furthermore, spermatocrit was positively related to haemocytometer counts (R² = .86, p < .001), providing a reliable indicator of sperm density. Differences in sperm kinematics were observed depending on strip-spawning timing after hormonal injection (12 vs. 24 hr) but with no consistent pattern. These sperm quality parameters also did not consistently differ between the no-primer and primer treatments. Considering that each male may be stripped 4–5 times over the 2–3 months spawning season, omitting the primer would reduce animal handling, material costs and labour intensity, while sustaining high-quality sperm production.     

Sperm subpopulations influence the pregnancy rates in cattle

This study aimed to study the characteristics and subpopulations of spermatozoa from bulls with low and high reproductive performance based on pregnancy rates. Based on historical records of pregnancy rate from four farms, 24 bulls were selected. Two groups were established, with low pregnancy rates (n = 12; LOW), including bulls that presented pregnancy rates <52.27% (33.33% to 51.81%); and a group with high pregnancy rates (n = 12; HIGH), with pregnancy rates >52.27% (52.27% to 69.64%), after fixed-time artificial insemination (FTAI). The thawed sperm straws were analysed to sperm kinetics, morphology, plasma membrane integrity and sperm subpopulations. The LOW group exhibited a higher proportion of static cells (p < .05). In contrast, the HIGH group showed greater percentages for membrane integrity and total and progressive motility, and cells with fast and medium velocity (p < .05). In the cluster procedures, four sperm subpopulations were established. The low-fertility bulls presented the highest percentage of subpopulation 2 (41.46%), characterized by slow and progressive spermatozoa. The high-fertility bulls exhibited the highest percentage of subpopulation 3 (37.17%), characterized by fast and nonlinear spermatozoa. Results from this study indicated that bulls with greater percentages of fast and nonlinear spermatozoa seem to have greater fertilization capacity and the subpopulations analysis can be considered a tool to identify ejaculates with high fertility.     

北京房山区8月份净第一性生产力变化分析

净第一性生产力是评价地表植被状况的重要指标之一,对分析和评价全球和区域生态环境、碳循环等变化具有重要作用.该文借助在CASA模型机理以及区域太阳辐射估算模型基础上建立的区域净第一性生产力估算模型,以房山区为例,分析了北京市郊区19922、001、2004年3年间8月份净第一性生产力的变化.分析结果表明,研究区3年间8月份的NPP分别为152.01、142.83、96.32 g/(m2.月);由于受到各种因素的影响,3年间8月份NPP结构构成不同,1992和2001年均以较高产区的NPP产量最高,其次是高产区和中产区,而2004年则以中产区的NPP产量最高,其次是高产区和低产区,而较高产区的NPP产量最低;1992和2001年各产量水平区的NPP总量在全区NPP总量中的比重,随NPP分区产量水平的提高而逐步提高,较高产区的NPP产量比重分别为:1992年42.26%,2001年37.54%;2004年各产量水平区所占比重变化较大,以中产区最高,占全区NPP总量的42.39%,其次是高产区和低产区,而以较高产区的NPP产量比重最低;通过逐步回归分析可知,在影响研究区NPP变化的各气候因素中,以平均风速、降雨量和实际日照时数影响最为显著,其中尤以降雨量的影响最大.     

基于CASA模型的植被净初级生产力时空演变格局及其影响因素——以湖北省为例

为了揭示湖北省植被NPP的时空演变规律及驱动机制,基于CASA模型计算2000—2018年湖北省植被NPP,结合气象数据和土地利用数据,利用重心模型、相关性分析和贡献指数等方法分析植被NPP的时空变化及其影响因素。结果表明:(1)2000—2018年湖北省植被NPP年均值介于532.19～656.49 g C/(m²·a),整体呈波动上升趋势;(2)湖北省植被NPP在空间分布上表现为由西北向东南递减的趋势,植被NPP重心迁移轨迹呈M型,西北地区的增量和增速较大高于东南地区。(3)湖北省植被NPP与年均气温呈正相关的区域面积占全省总面积的54.49%,主要分布在荆门、荆州地区以及宜昌东南部地区; 年均NPP与年降水量呈正相关的面积高达87.65%,主要分布在随州、襄阳和孝感北部地区。(4)2000—2018年研究区域内NPP总量增加19.86×10^-2 Tg C,在土地利用变化引起的NPP损益中,主要由其他土地类型向林地、耕地和草地转换引起; 不同时期土地覆盖变化对NPP总量的贡献率有所差异,2000—2010年建设用地贡献率最高为53.81%,2010—2018年耕地贡献率最高为61.53%。     

Effect of different methods for the induction of spermiation on semen quality in European eel

Five hormonal treatments with human chorionic gonadotropin (hCG) were tested for the induction of maturation and spermiation in male farmed eels. The main aim was to optimize previously used hormonal treatments to achieve shorter induction treatments, longer spermiation periods and/or higher sperm quality. Fish treated for just 3 weeks (treatment E) or until the onset of spermiation (treatment C) showed the worst results, while the treatment consisting of weekly administration of 1.5 IU hCG g^?1 fish (treatment A) induced the highest percentage of spermiating males, the highest number of sperm samples and sperm volumes and densities similar to the rest of the treatments (B: half hormone dosage, or D: biweekly administration). Evaluation of the sperm quality was performed by computer‐assisted sperm analysis (CASA), considering the percentage of total motile spermatozoa, the percentage of fast and medium‐velocity spermatozoa, as well as different motility parameters. Sperm samples from A‐D groups showed between 44% and 54% motile spermatozoa, and between 10% and 15% fast spermatozoa, while samples from E‐treated males showed 0% motile cells. No significant differences were found in the spermatozoa straight line velocity (VSL), curvilinear velocity (VCL) or the angular velocity (VAP), neither spermatozoa beating cross frequency (BCF) between A–D groups.     

基于CASA模型的瓦屋山林场植被净初级生产力估算

在地理信息系统和遥感技术支持下,利用改进的CASA模型,并结合Landsat TM遥感影像、气象数据和林班数据,估算出瓦屋山林场2008—2009年的植被净初级生产力(PNPP),并通过实测植被生物量和生产力的关系,验证CASA模型在研究地区估算结果。结果表明:CASA模型估测植被PNPP与实测结果有较好的一致性,能够适用于瓦屋山林场植被净生产力估算;CASA模型估算结果主要植被类型年均PNPP区别明显,从高到低依次是:中国山杨、麻栎、板栗、马尾松、湿地松、灌木、杉木和池杉;瓦屋山林场植被PNPP季节变化显著,夏季贡献率最大,其次是春季和秋季,冬季最少,主要由于不同季节环境因素不同,其中又以太阳辐射最为重要。     

Age-related declines in ejaculate quality and sperm kinematics vary among strains of Japanese Quail (Coturnix japonica)

For successful breeding programs, it is important to quantify the useful period of a male's reproductive life and it is often done simply by measurement of semen quality. This information is lacking for Japanese quail so we tested whether there is a decline in ejaculate quality and sperm kinematics with age, and whether the decline varies among strains. Nine males (n = 9) from each of 5 strains (A, B, C, D and E) were subjected to 4 semen collections (n = 16 per male) at 8, 16, 26 and 36 weeks of age. Ejaculate volume, sperm concentration and total sperm per ejaculate were measured, and sperm kinematics were analysed using a Sperm Class Analyser (SCA^®). There was a significant effect of age for ejaculate volume, total sperm per ejaculate and per cent medium sperm. The effect of the interaction between age and strain was significant for percent progressive motile sperm, percent rapid sperm, velocity curvilinear, velocity straight line, velocity average path, linearity, straightness and beat cross frequency. Ejaculate volume peaked at Week 26 in all strains, while peak values for sperm concentration and total sperm per ejaculate were observed at Week 16 for most strains. There were declines in percent motile sperm, progressive motile sperm and rapid sperm, and in velocity curvilinear velocity, velocity straight line and velocity average path, by Week 16 for most strains. Linearity declined by Week 26 in some strains, and all strains showed a significant decline in beat cross frequency by that age. In conclusion, the ability of CASA to detect age-related changes in sperm kinematics makes it a valuable tool for identifying the best males and thus improving quail flock fertility. It is essential that breeders understand that age affects both sperm production and sperm kinematics, and that the changes vary with strain.