Assessing the utility of topographic variables in predicting structural complexity of tree stands in a reforested urban landscape

The transformation of natural landscapes into impervious built-up surfaces through urbanization is known to significantly interfere with the ecological integrity of urban landscapes and accelerate climate change and associated impacts. Although urban reforestation is widely recognised as an ideal mitigation practice against these impacts, it often has to compete with other lucrative land uses within an urban area. The often limited urban space provided for reforestation therefore necessitates the optimization of the ecological benefits, which demands spatially explicit information. The recent proliferation of tree stands structural complexity (SSC) and topographic data offer great potential for determining the ecological performance of reforested areas across an urban landscape. This study explores the potential of using topographic datasets to predict SSC in a reforested urban landscape and ranks the value of these topographic variables in determining SSC. Tree structural data from a reforested urban area was collected and fed into a tree stand structural complexity index, which was used to indicate ecological performance. Topographic variables (Topographic Wetness Index, slope, Area Solar Radiation and elevation)- were derived from a Digital Elevation Model (DEM) and used to predict SSC using the Partial Least Squares (PLS) regression technique. Results show that SSC varied significantly between the topographic variables. Results also show that the topographic variables could be used to reliably predict SSC. As expected, the Topographic Wetness Index and slope were the most important topographic determinants of SSC while elevation was the least valuable. These results provide valuable spatially explicit information about the ecological performance of the reforested areas within an urban landscape. Specifically, the study demonstrates the value of topographic data as aids to urban reforestation planning.     

山西南部苹果花期冻害时空分布特征及综合防御技术

利用1997—2016年山西南部苹果主产县(市、区)苹果花期逐日最低气温及日平均气温观测资料，根据苹果花期冻害等级划分指标，采用最小二乘法对花期冻害日数进行线性倾向估计，并用Mann-Kendall非参数检验方法对花期冻害日数的变化趋势进行显著性检验，分析山西南部苹果花期冻害的时空分布特征。结果表明: 山西省南部苹果产区发生花期冻害日数年均为3.1 d，各县花期均温介于13.0℃~13.8℃之间。运城地区4月中上旬易发生冻害，临汾地区吉县与隰县4月下旬易发生冻害；山西南部苹果花期冻害日数近20 a气候倾向率为-0.666 d·（10 a）^-1（P≤0.01），花期极端最低气温气候倾向率为0.165 d·（10 a）^-1（P≤0.01），花期极端最低气温与冻害日数具有极显著负相关关系。山西南部苹果花期冻害日数突变点在2008年，且在2015年之后苹果花期冻害日数突破α=0.05显著性水平下限。对于苹果花期冻害的综合防御措施，可采用“以防为主，抗补结合”策略。     

青海省海东市不同等级降水和旱涝关系研究

利用1961～2015年青海省海东市5气象站逐日降水资料,根据中国气象局降水等级划分标准和旱涝Z指数的计算方法,分别统计海东市夏、冬半年不同等级雨量和雨日及计算Z指数,利用线性回归法分析海东市55年来不同等级雨日和雨量和Z指数的变化趋势,并采用偏相关系数、相对贡献率和合成分析等方法研究不同等级雨日和雨量对旱涝的影响。得出以下结论：①海东市夏(冬)半年降水以小雨(雪)和中雨(雪)为主,雨日和雨量及占年比例均呈现自南向北递增的空间分布。②夏半年小雨和大到暴雨的雨量及雨日呈减小趋势,中雨雨量和雨日呈增加趋势,冬半年小雪、中雪和大到暴雪的雨量及雨日均呈减小趋势。③夏、冬半年Z指数均表现为不显著的减小趋势。④夏、冬半年不同等级雨量和雨日与Z指数偏相关系数和相对贡献率分析,夏半年中雨和大到暴雨的雨量及雨日对Z指数有显著的影响,冬半年小雪的雨量和雨日对Z指数变化影响最大。⑤采用合成分析法的标准化值,无论是夏半年还是冬半年,在偏涝年,不同等级降水雨日和雨量基本都为正值,在偏旱年,不同等级降水雨日和雨量基本都为负值。在偏涝年,不同等级降水雨日和雨量差异夏半年主要表现在大到暴雨和中雨雨日及雨量,小雨雨日及雨量差异较小,而冬半年主要表现在小雪雨日及雨量,中雪次之,大到暴雪最小；在偏旱年,不同等级降水雨日和雨量差异夏半年主要表现在中雨雨日及雨量,大到暴雨次之,小雨最小,冬半年主要表现在小雪和中雪雨日及雨量,大到暴雪差异较小。     

冲击式速冻设备上下送风速度对虾仁冻结过程的影响

随着人们对速冻食品品质的要求不断提高,商家对食品速冻技术的要求也在不断提高,冲击式速冻技术作为目前先进的速冻技术之一成为研究热点。但由于其高速射流冲击导致的内部换热区流场的不均匀会造成设备换热效率差,能效比低等问题。为找到使得设备换热区流场最优的送风速度,该文以明虾虾仁为研究对象,利用数值模拟结合试验验证的方法研究了冲击式速冻设备中上下送风速度对虾仁冻结过程的影响,分为上下两侧风速保持一致且同时改变;上侧送风速度为15 m/s、下侧为0~15 m/s;以及下侧送风速度为15 m/s、上侧为0~15 m/s 3个试验组进行研究。研究结果为:当冲击式速冻设备两侧送风速度保持一致时,随着风速的增大,虾仁冻结时长缩短但减小幅度也会不断减小;当上下两侧送风速度大小相差悬殊时,两股冲击射流相对冲击会在低速侧形成促进虾仁表面流场流动的涡流,提高换热效率,减小虾仁冻结时长;当上下两侧送风速度大小相差不大时,两股冲击射流相对冲击会在虾仁表面形成流速较低的射流"真空区",降低虾仁换热效率,增大虾仁冻结时长;在试验的两侧送风速度范围内,当上侧送风速度为15 m/s,下侧送风速度为2 m/s时,虾仁对流换热强度最大,冻结时长最短。     

严格意义的无霜期统计方法探讨

根据霜冻和无霜期对农作物生长的影响及农业气候区划的指导意义,比较无霜期与严格意义上的“无冻期”的关系和区别,分析霜冻出现的初、终日与霜、结冰现象及气温、地面温度、草面温度≤0℃出现的初日、终日之间的关系,探讨“无霜冻期”的合理统计方法,并通过对鄂东地区的麻城、浠水、黄石三地的无霜期和“无冻期”的统计,总结两者的差异和特征,从而为正确理解和统计无霜冻期,提出一套新的观点和方法,为指导农业生产和农业气候区划提供依据。     

Sperm cryopreservation of the noble Scallop Chlamys nobilis by a programmable freezing method: Effect of cryoprotectant

A study on Chlamys nobilis sperm cryopreservation by a programmable freezing method was conducted under laboratory condition. Four cryoprotectant agents (dimethyl sulfoxide [DMSO], methanol [MET], propanediol[PG] and ethylene glycol [EG]) and four concentrations (5%, 10%, 20% and 30%) were evaluated for their ability to retain sperm motility, movement characteristics and fertility. Results showed that cryopreserved sperm total motility produced by DMSO and MET at 5%, 10% and 20% were higher than other cryoprotectant treatment groups (CPA groups), as well as rapid sperm percentage. The curvilinear (VCL) and straight line (VSL) velocity produced by DMSO at 5% significantly higher than other CPA groups (p < 0.05), while no significant differences were found for average path (VAP) velocity. The lateral head displacement (ALH) in all CPA groups was similar and without significant difference (p > 0.05), as well as the beat‐cross frequency (BCF). A significant higher fertilization rate was produced in DMSO than that in MET at same concentration (p < 0.05), and no significant differences were found for differing concentrations of the same cryoprotectant (p > 0.05). Overall, 5%‐20% DMSO was more suitable for Chlamys nobilis sperm programmable cryopreservation when the calcium‐free Hanks’ balanced salt solution was used as the extender, and 10°C/min from 0°C to ?80°C was used as freezing rate. The findings presented in this study will benefit conservation programs for Chlamys nobilis.     

汾渭平原农户冬小麦氮磷养分投入调查与分析

为明确汾渭平原农户冬小麦施肥现状，并指导农户合理施肥，在汾渭平原冬小麦种植区选取22个区/县，连续2年进行农户冬小麦产量及氮、磷养分投入调查。结果表明，汾河平原和渭河平原农户冬小麦平均产量分别为6 949和6 442 kg·hm^-2，其中中等产量水平（5 500 kg·hm^-2）以上的农户超过80%。汾河平原农户冬小麦N和P₂O₅的平均投入量分别为272.6和139.1 kg·hm^-2，施氮不足、适中和过量的农户分别占11.84%、23.68%和64.47%，施磷不足、适中和过量的农户分别占14.03%、7.89%和78.07%。渭河平原农户N和P₂O₅的平均投入量分别为196.3和147.2 kg·hm^-2，施氮不足、适中和过量的农户分别占 28.63%、31.97%和39.40%，施磷不足、适中和过量的农户分别占5.95%、14.50%和79.56%。汾河平原农户冬小麦氮肥基肥和追肥比例分别为60.3%和39.7%，而渭河平原农户冬小麦氮肥基肥和追肥比例分别为 97.3%和2.7%。此外，汾河平原农户冬小麦N、P₂O₅的平均偏生产力分别为30.4和59.6 kg·kg^-1，渭河平原农户冬小麦N、P₂O₅的平均偏生产力分别为38.4和56.1 kg·kg^-1。总之，在汾渭平原农户冬小麦种植过程中，氮、磷肥过量施用依然严重，导致肥料利用率低，因此，未来需进一步加强对农民的宣传培训，使其科学合理施肥，促进农业绿色发展。     

漯河地区小麦冻害发生原因及对策

小麦生长发育受冻害影响，而不良的环境条件严重危害小麦成长。冻害主要是指因温差骤降且时间过长影响小麦成长的情况。漯河地区冬季小麦冻害情况极为严重，而二类、三类麦田屡见不鲜，冬季冻害会造成极为严重的经济损失，只有针对其实际情况进行深入分析，并采取有效举措予以应对，即能够保证漯河地区小麦的稳定产量。