Geographic Information System‐Based Analysis of the Spatial and Spatio‐Temporal Distribution of Zoonotic Cutaneous Leishmaniasis in Golestan Province,North‐East of Iran

Zoonotic cutaneous leishmaniasis (ZCL), a vector‐borne disease, poses serious psychological as well as social and economic burden to many rural areas of Iran. The main objectives of this study were to analyse yearly spatial distribution and the possible spatial and spatio‐temporal clusters of the disease to better understand spatio‐temporal epidemiological aspects of ZCL in rural areas of an endemic province, located in north‐east of Iran. Cross‐sectional survey was performed on 2983 recorded cases during the period of 2010–2012 at village level throughout the study area. Global clustering methods including the average nearest‐neighbour distance, Moran's I, general G indices and Ripley's K‐function were applied to investigate the annual spatial distribution of the existing point patterns. Presence of spatial and spatio‐temporal clusters was investigated using the spatial and space–time scan statistics. For each year, semivariogram analysis and all global clustering methods indicated meaningful persistent spatial autocorrelation and highly clustered distribution of ZCL, respectively. Eight significant spatial clusters, mainly located in north and northeast of the province, and one space–time cluster, observed in northern part of the province and during the period of September 2010–November 2010, were detected. Comparison of the location of ZCL clusters with environmental conditions of the study area showed that 97.8% of cases in clusters were located at low altitudes below 725 m above sea level with predominantly arid and semi‐arid climates and poor socio‐economic conditions. The identified clusters highlight high‐risk areas requiring special plans and resources for more close monitoring and control of the disease.     

基于灰色关联度法的不同年龄紫花苜蓿草地土壤肥力评价

土壤肥力能反映植物的生长潜力和表现,但又受到植物的影响。在多年生草地系统中,利用年限(牧草年龄)对土壤肥力的影响还没有准确的阐述。采用灰色关联度分析法,对6个年龄紫花苜蓿(Medicago sativa)草地土壤碳、氮、磷、钾等指标进行综合分析,以关联度进行排序对不同年龄草地土壤肥力进行评价。结果表明,在不同土层,紫花苜蓿草地土壤有机碳、全氮、铵态氮、硝态氮、全磷、速效磷和全钾含量随年龄而变化的趋势不一致。运用灰色关联度分析后发现,0-10和10-20 cm土壤肥力最好的年龄均为5龄草地,而20-30 cm土壤肥力最好的年龄为8龄,5龄草地次之。因此,从土壤肥力角度可确定黄土高原地区5龄紫花苜蓿草地利用最佳。     

基于土地利用/覆盖的甘肃省景观生态风险时空变化特征

甘肃省景观类型丰富多样,在中国西部地区的生态安全中起关键性作用,也为当地发展提供着重要的物质基础和生态服务。由于气候变化和人类不合理活动的影响,甘肃省部分地区生态环境的安全与稳定遭到严峻挑战。本研究基于欧洲航空局全球土地利用/覆盖数据（CCI-LC）,利用动态度、转移矩阵方法分析了2005-2019年甘肃省土地利用/覆盖变化特征;通过构建景观生态风险指数并运用空间自相关分析法分析了景观生态风险的空间分布特征。结果显示：1)2005-2019年间,裸地面积减少最多,变化率1.88%,耕地次之,变化率2.31%;草地面积增加最多,变化率1.83%,建设用地次之,变化率191.08%。2）所有土地利用/覆盖类型中,建设用地的动态度最高且在整个研究时期内变化速率都保持在较高水平,综合动态度最大的时期为2010-2019年。3）土地利用/覆盖转移矩阵主要表现为耕地、林地、草地、裸地之间的转入与转出以及其他土地类型向建设用地的转入。4)2019年整体的生态风险值较2005年明显上升。其中低风险区和较低风险区面积最多,转化最频繁;中等风险区、较高风险区和高风险区面积虽然较少,但都存在不同程度的增长。...     

赤霉素浓度和温水浸种时间对猕猴桃不同品种种子萌发的影响

以美味猕猴桃‘徐香’、中华猕猴桃‘宜黄2号’、毛花猕猴桃‘赣绿1号’和‘赣绿2号’4个猕猴桃品种的种子为试验材料,设置5个梯度的赤霉素浓度和5个浸种时间进行处理,通过统计种子萌发的发芽率、发芽势和发芽时滞,探讨赤霉素浓度和温水浸种时间对猕猴桃种子发芽的影响。结果表明：4种猕猴桃种子发芽率与发芽势均受赤霉素浓度和温水浸种时间的影响,其中‘徐香’的种子发芽率和发芽势最高,其次是‘赣猕1号’、‘赣猕2号’和‘宜黄2号’。‘徐香’、‘赣绿1号’和‘赣绿2号’、‘宜黄2号’种子发芽率最高所对应的赤霉素处理浓度和浸种时间组合分别为：0.6 g/L赤霉素+30 min温水浸种、0.4 g/L赤霉素+30 min温水浸种、0.6 g/L赤霉素+30 min温水浸种和0.6 g/L赤霉素+60 min温水浸种。不同品种猕猴桃发芽时滞也有一定差异,其中‘徐香’发芽最早,其次是‘宜黄2号’,‘赣绿1号’和‘赣绿2号’开始发芽最晚。     

Ba(OH)_2加入温度对酚醛树脂胶黏剂性能的影响

采用Ba(OH)_2和NaOH复合催化剂,通过两步甲醛加入法工艺制备酚醛树脂胶黏剂。考察了Ba(OH)_2加入温度对酚醛树脂颜色、黏度、水溶倍数和固化时间的影响,并采用FTIR和DSC对胶黏剂进行了表征。结果表明,随着Ba(OH)_2加入温度升高,所制得胶黏剂的黏度逐渐降低,水溶倍数逐渐增大,固化时间逐渐延长。FTIR测试结果表明,胶黏剂中高活性的邻-邻结构随着Ba(OH)_2加入温度升高而逐渐减少,这正是黏度、水溶倍数和固化时间变化的原因所在。DSC测试结果显示,固化温度和放热量随着Ba(OH)_2加入温度的升高而逐渐增大,表明固化速率降低。综合考虑各项性能,应在60℃时加入Ba(OH)_2制备酚醛树脂。     

湘中丘陵区马尾松林粗木质残体研究

以湘中丘陵区马尾松林为研究对象,分析粗木质残体(CWD)的储量特征、物种组成、径级结构以及腐烂等级,研究湘中丘陵区马尾松林CWD的基本特征。结果表明:湘中丘陵区马尾松林CWD的平均储量为1.72 t/hm2,马尾松和杉木是针叶CWD的主要组成树种,樟树、南酸枣、枫香是阔叶CWD的主要组成树种。马尾松-阔叶树种混交林的CWD总储量显著大于马尾松-杉木混交林的,两者的CWD总储量与其对应森林总生物量的比例差异明显,且均表现为随森林生物量增长而增加的趋势。CWD的个体数量随着径级的增加而减少,呈反J型下降趋势,且不同存在形式CWD的数量比例大致表现为倒木枯立木大枝根桩。CWD具备完整的腐烂等级(Ⅰ~Ⅴ级),主要集中在Ⅰ、Ⅱ腐烂等级,且随着径级的增加,各腐烂等级CWD的数量比例呈现逐渐减少的趋势。     

Water content measurement in black spruce and aspen sapwood with benchtop and portable magnetic resonance devices

Abstract

In this study, water content in black spruce (Picea mariana Mill.) and aspen (Populus tremuloides Michx.) sapwood samples was investigated with time-domain magnetic resonance (MR). Time-domain MR measurements easily distinguish water in different environments in wood according to the spin-spin relaxation time and provide quantitative information on water content. The MR techniques employed can distinguish and quantify the individual signal components. Both black spruce and aspen have two signal components at moisture contents above the fiber saturation point. These two signal components correspond to motionally restricted water, often referred to as bound water, and unrestricted, or free water. Bound water content is constant above 40% moisture content. No signal from free water was detected at or below 20% moisture content in either species. We also demonstrate the use of a recently developed portable unilateral magnet that can be employed as a powerful tool in the study and measurement of water content in wood.     

开沟起垄措施对植烟土壤和烟叶产值的影响

为探明烟稻轮作制度下,烟田起垄开沟对植烟土壤化学性质及烟株生长、产质量等影响,以稻茬烟田为试验平台,设置2个开沟深度[A1：浅沟（垄间开沟15cm）;A2：深沟（垄间开沟25cm）]和2个起垄时间[B1：移栽前10d起垄（常规起垄）;B2：翻耕后起垄],于2018年取样,系统分析不同处理对土壤pH、主要养分含量和烟株农艺性状、干物质积累及经济性状的影响。研究结果表明,烟株各个主要生育时期深沟+翻耕后起垄处理（A2B2）的有效叶片数、烟叶最大叶长、叶宽和株高均优于其他处理;且该处理能有效改善土壤速效养分含量,土壤pH处于优质烤烟生产要求范围;同时烟株物质生产能力强,干物质积累多,在各器官间分配合理;烤烟经济性状也表现为该处理的烟叶产量、产值及上等烟比例较高,表现较优。总之,翻耕后起垄+深开沟处理（A2B2）有利于烟株生长,提高烟株的品质,为烟叶优质适产奠定了生物学基础。     

The effect of random and density‐dependent variation in sampling efficiency on variance of abundance estimates from fishery surveys

Abundance indices (AIs) provide information on population abundance and trends over time, while AI variance (AIV) provides information on reliability or quality of the AI. AIV is an important output from surveys and is commonly used in formal assessments of survey quality, in survey comparison studies, and in stock assessments. However, uncertainty in AIV estimates is poorly understood and studies on the precision and bias in survey AIV estimates are lacking. Typically, AIV estimates are “design based” and are derived from sampling theory under some aspect of randomized samples. Inference on population density in these cases can be confounded by unaccounted process errors such as those due to variable sampling efficiency (q). Here, we simulated fish distribution and surveys to assess the effect of q and variance in q on design‐based estimates of AIV. Simulation results show that the bias and precision of AIV depend on the mean q and variance in q. We conclude that to fully evaluate the reliability of AI, both observation error and variability in q must be accounted for when estimating AIV. A decrease in mean q and an increase in the variance in q results in increased bias and decreased precision in survey AIV estimates. These effects are likely small in surveys with mean q ≥ 1. However, for surveys where q ≤ 0.5, these effects can be large. Regardless of the survey type, AIV estimates can be improved with knowledge of q and variance in q.