Temporal disease dynamics and relative importance of sexual and asexual reproduction of grape downy mildew (Plasmopara viticola) in an isolated vineyard in the North Georgia Mountains,USA

The North Georgia Mountains are the southernmost region along the United States East Coast where European wine grapes (Vitis vinifera) are grown commercially. Epidemics of downy mildew, caused by Plasmopara viticola, are frequent and severe, but little is known about the epidemiology and population biology of the pathogen in this region. Disease monitoring in an experimental vineyard from 2015 to 2017 indicated that times of disease onset and progress rates were highly variable across years and cultivars. Oospores were observed microscopically, and simulation with a process-based model indicated presence of conditions favourable for oospore germination in the spring and early summer each year. A total of 409 P. viticola isolates collected over three  years were genotyped with seven microsatellite markers, revealing very high genotypic diversity, which when combined with the observation of oospores is indicative of a sexually reproducing population. Among the 409 isolates, 225 multilocus genotypes (MLGs) were identified, of which 164 were detected only once and 61 were repeated (clonal). Eight MLGs (represented by 28 isolates) were detected across years, suggesting the possibility of asexual overwintering of P. viticola in this region. Across sampling dates, the percentage of isolates belonging to nonrepeated (unique) MLGs ranged from 27.3% to 63.2%. Even towards the end of the annual epidemic, the percentage of isolates in nonrepeated MLGs was still relatively high, around 30%. These MLGs may have originated from oospores germinating late during the growing season, although incomplete sampling at earlier dates and contribution by immigration cannot be fully excluded.     

Multilocus sequence typing analysis of Italian Xanthomonas campestris pv. campestris strains suggests the evolution of local endemic populations of the pathogen and does not correlate with race distribution

Xanthomonas campestris pv. campestris (Xcc) is the causal agent of black rot in Brassicaceae. It is widespread in Italy and severe outbreaks occur under conditions that favour disease development. In this study a multilocus sequence typing approach (MLST) based on the partial sequence of seven loci was applied to a selection of strains representative of the main areas of cultivation and hosts. The aim was to investigate whether the long tradition of brassica crops in Italy has influenced the evolution of different Xcc populations. All loci were polymorphic; 14 allelic profiles were identified of which 13 were unique to Italian strains. Based on the seven loci, the most common genotype within the Italian Xcc strains (AP1) was also the most representative genotype found in worldwide Xcc strains. This genotype was included in a new clonal complex in addition to three other clonal complexes already identified in Xcc populations. The phylogenetic reconstruction using a concatenated dataset of four conserved protein-coding genes, dnaK, fuyA, gyrB and rpoD, showed that the Italian strains belonged to two genetic groups. Physiological races were also investigated for the first time in Italy. The race structure of Xcc was determined by inoculating eight differential Brassica lines belonging to five species and showed that, in Italy, race 4 is the most widespread, followed by races 1 and 6. No correlation was found between allelic profiles, host of isolation, geographical origin and races, although a prevalent race was identified within the same clonal complex.     

Population dynamics of the potato cyst nematode,Globodera pallida,in relation to temperature,potato cultivar and nematicide application

The impact of increasing temperatures on the population dynamics of the soil-dwelling nematode Globodera pallida, a persistent and economically important pest of potatoes, was investigated. The reproductive factor (final population⁄initial population) and length of life cycle were found to be temperature sensitive. Pot experiments performed over 4 months allowed comparison of the effect on development of G. pallida of two temperature regimes: an average temperature comparable to current field conditions (14.3 °C) and an average temperature above current field conditions (17.3 °C). A larger second generation of juveniles was observed at 17.3 °C compared to 14.3 °C. Multiplication of G. pallida at field sites in Shropshire and East Lothian (average soil temperatures of 15.5 and 14.1 °C, respectively, during potato cropping) was also examined. A quantitative PCR assay and visual examination of roots were used to monitor the dynamics of the G. pallida populations in both field sites at 4-weekly intervals. Four cultivars, Desirée, Cara, Maris Piper and Estima, were grown with and without nematicide treatments. Nematicide treatments suppressed population increases at both sites. Females were observed on the roots of cvs Cara and Desirée at the end of the growing season in Shropshire, but not at East Lothian, and are likely to represent a second generation.     

2003-2017年陕西省NDVI时空变化及其影响因素

[目的] 研究影响陕西省植被覆盖主导气候类和非气候类因子，为区域生态文明建设提供科学依据。[方法] 基于2003—2017年MODIS NDVI数据，利用趋势分析和地理探测器模型等方法，研究了气候类和非气候因素对陕西省植被覆盖的影响。[结果] ①2003—2017年陕西省NDVI空间分布总体上为改善趋势，但在不同植被类型区和生态区有所差异。②降水是影响陕西省植被覆盖空间分布的主导气候类因素，其他因素对当地植被覆盖影响程度有所差异。③降水与气温、日照、风速、相对湿度的交互作用对陕西省植被覆盖空间分布起主导作用。且气温的作用只有在和降水的交互作用下才能体现出来。④植被类型和地貌是陕西省植被覆盖空间分布的主导非气候类因素，其他因素的影响有所差异。⑤植被类型、地貌和土壤类型之间的交互作用对陕西省植被覆盖空间分布起主导作用。人口、GDP的影响也只有在与其他因素的交互作用下才能显现出来。[结论] 气候类因素的影响大于非气候类因素，气候类和非气候类因素的共同作用能够充分的解释植被覆盖空间分布。     

贵州省城乡人口变化与建设用地扩张的脱钩关系

[目的]研究贵州省人口与建设用地变化的关系,以促进土地资源优化配置。[方法]利用贵州省2000—2017年城乡人口及建设用地数据,采用脱钩模型和GIS空间分析方法,研究城乡人地关系演化过程。[结果]贵州省城镇人口持续增加,乡村人口逐年减少;城乡建设用地面积不断扩大,城镇和乡村建设用地同向增长。2000—2008年,贵州省城乡人口变化与建设用地扩张关系为强负脱勾类型,乡村人口与乡村建设用地变化为强负脱钩类型,城镇人口与城镇建设用地变化为扩张负脱钩类型。农村人口减少伴随着建设用地增加,农村人地关系处于较不合理状态;城镇人口和建设用地二者均增长,但建设用地增幅快于人口增幅。[结论]贵州省应积极推动农村宅基地流转,提高城乡建设用地集约利用水平,促进城乡融合。     

Assessing the sublethal impacts of anthropogenic stressors on fish: An energy‐budget approach

Fish are increasingly exposed to anthropogenic stressors from human developments and activities such as agriculture, urbanization, pollution and fishing. Lethal impacts of these stressors have been studied but the potential sublethal impacts, such as behavioural changes or reduced growth and reproduction, have often been overlooked. Unlike mortality, sublethal impacts are broad and difficult to quantify experimentally. As a result, sublethal impacts are often ignored in regulatory frameworks and management decisions. Building on established fish bioenergetic models, we present a general method for using the population consequences of disturbance framework to investigate how stressors influence ecologically relevant life processes of fish. We partition impact into the initial energetic cost of attempts to escape from the stressor, followed by the energetic impacts of any injury or behavioural change, and their consequent effects on life processes. As a case study, we assess the sublethal effects of catch and release angling for the European sea bass (Dicentrachus labrax, Moronidae), a popular target species for recreational fishers. The energy budget model described is not intended to replace existing experimental approaches but does provide a simple way to account for sublethal impacts in assessment of the impact of recreational fisheries and aid development of robust management approaches. There is potential to apply our energy budget approach to investigate a broad range of stressors and cumulative impacts for many fish species while also using individual‐based models to estimate population‐level impacts.     

中国硬叶兜兰主要分布区居群表型多样性分析

研究基于硬叶兜兰（Paphiopedilum micranthum）表型变异，通过相关性、主成分以及聚类等分析，对9个硬叶兜兰野生居群的22个表型性状指标进行了调查研究，探究硬叶兜兰居群间及居群内表型多样性，为硬叶兜兰资源的进一步保护和利用奠定基础。结果表明：硬叶兜兰在居群间具有丰富的表型多样性，居群内变异较少。平均表型分化系数（Vst）为64%，居群间表型分化高于居群内表型分化。22个性状的平均变异系数（CV）范围为9.52% ~ 31.48%，9个居群平均变异系数为14.55% ~ 18.51%，在表型间差异显著，在居群间差异不显著。主成分分析表明，花纵径等花部性状和株高等营养性状是硬叶兜兰变异的主要因素。Pearson相关性分析表明，株高、中萼片长和花瓣长与大部分性状都呈现显著正相关；冠幅、叶片数等营养性状与海拔存在显著正相关性，而花横径、花纵径等生殖性状与海拔存在显著或极显著负相关性。聚类分析结果表明，9个居群可以聚类为3个类群，和硬叶兜兰地理分布距离一致。     

间作番茄对甘蓝生长及其主要害虫种群数量的影响

研究了甘蓝、番茄不同间作比例对甘蓝生长及主要害虫种群数量的影响,以期找到适宜的间作比例,为生产实践中进一步推广应用提供理论依据。试验结果表明,甘蓝与番茄间作模式,对甘蓝主要害虫菜青虫、小菜蛾、菜蚜等有一定的趋避效果,但6∶1的间作处理效果较差,4∶1、2∶1的间作处理效果良好,且差异不明显;2∶1的间作处理由于间作密度小,甘蓝受番茄生长的影响大,植株生长不良,6∶1的间作处理由于间作密度较大,甘蓝受虫害影响大,叶球虫孔数多,商品性差,4∶1的间作处理,植株生长良好,叶球饱满、质量大、商品性好。综合各项数据分析,4∶1的间作比例更合适。     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.     

Linking watershed and microhabitat characteristics: effects on production of Atlantic salmonids (Salmo salar and Salmo trutta)

The spatial scale of environmental factors influencing population dynamics ranges from microhabitat to continental or even global scales. Integration of multiple spatial scales is important in order to understand links between environmental variation and population processes. In the present study, we investigate how multiscale drivers influence the production of stream‐rearing Atlantic salmonids (Atlantic salmon, Salmo salar L. and brown trout, Salmo trutta L.) measured in terms of abundance. Variation in juvenile production was studied using data from single‐pass electrofishing surveys (measured as biomass per m²) from nine rivers. These data were combined with habitat data ranging from an important in‐stream microhabitat variable (shelter availability) to properties of the catchment. Variation in productivity within and among rivers was affected by both properties of in‐stream habitat and catchment properties. Shelter availability and the proportion of the catchment consisting of cultivated land and lakes influenced biomass positively, while catchment area had the opposite effect. For a different set of rivers (N = 20), river gradient and catchment area were shown to positively affect the amount of shelter. Finally, the variables identified in the two preceding analysis were included in the analysis of population productivity using catch statistics from 160 rivers. The proportion of cultivated land and lakes, estimated shelter availability were found to have positive effects. In addition, temperature had a positive effect, while river width had a negative effect. This study shows that combining multiple‐scale environmental factors can explain a substantial proportion of variation in population productivity among and within the populations of Atlantic salmonids.