Occurrence of the emerald ash borer, Agrilus planipennis in Russia and its potential impact on European forestry

The emerald ash borer, Agrilus planipennis , is a beetle native to East Asia where it is considered a minor pest, preferentially attacking weakened or dying ash trees. It was first discovered in North America in 2002 and has since become one of the most serious invasive insect pests, killing millions of healthy ash trees in urban and forested settings. Similar damage is now occurring in the region of Moscow, Russia, which causes serious concern for Europe. In this paper, we review the current knowledge on A. planipennis in Asia and North America, provide new information on its occurrence in the region of Moscow and Eastern Russia and make recommendations for research and management strategies in Europe.     

基于优化MaxEnt模型的疣果匙荠在中国的适生区预测与分析

本文优化了疣果匙荠分布数据筛选方式和MaxEnt软件参数设置,使用ENMTools剔除了冗余分布数据,调用R程序包Kuenm从1 240个不同参数组合的MaxEnt模型中筛选确定了最优参数.基于分布数据和参数优化的MaxEnt预测结果表明,疣果匙荠在中国的高度适生区和中度适生区分别占陆地总面积的9.4％和60.1％左右...     

基于MaxEnt模型和GIS技术的烟粉虱适生区预测

为分析烟粉虱Bemisia tabaci在我国的潜在适生区,以我国351个烟粉虱分布记录点、全国气候环境数据和土地利用数据为基础,利用MaxEnt生态位模型结合GIS技术进行烟粉虱适生区预测。结果表明,影响烟粉虱适生区预测的主要因子包括土地利用类型、海拔、年平均温度和最热月份最高温度。预测的烟粉虱高适生区、中适生区、低适生区与非适生区分别占全国陆地总面积的5.6%、12.3%、35.2%和46.9%。华北平原、东北平原的南部以及湖南、湖北两省交界处为烟粉虱最适宜生存区域,且这些区域作物生产潜力大,造成的损失较为严重;非适生区包括青藏高原、南疆沙漠区域、大兴安岭及东北极寒地区。本研究预测的烟粉虱中、高适生区域均有烟粉虱发生为害的报道,烟粉虱在我国的防控形势仍然严峻。     

The attraction of cerambycids and other xylophagous beetles, potential vectors of Bursaphelenchus xylophilus, to semio-chemicals in Slovenia

The attractiveness of different semio-chemicals to potential vectors of the phytoparasitic nematode Bursaphelenchus xylophilus was investigated in conifer forests in Slovenia. From 2007 to 2009, the presence of xylophagous beetles in Pinus nigra, P. sylvestris, P. halepensis, Picea abies and Abies alba stands was assessed at eight locations. Insects were collected at 1-month intervals during the growing season using four cross vane traps per location with a collecting container with propylene glycol and attractants (ethanol+??-pinene, Pheroprax? and Gallowit?). The trapped insects represented 24 families of the order Coleoptera, and we identified 94 species. The most numerous group was the weevil subfamily Scolytinae (76.55% of all insects collected), followed by the family Cerambycidae (8.12%), and the weevil subfamily Curculioninae (1.67%). With regard to species number, the most frequent wood-borers were Cerambycidae (24 taxa), Scolytinae (12 species) and Buprestidae (8 species). The most abundant species was Spondylis buprestoides, followed by Arhopalus rusticus, Monochamus galloprovincialis and Arhopalus ferus. At all locations, the largest catch of Cerambycidae occurred in July. The most effective attractant was ethanol+??-pinene, followed by Gallowit?; the least effective attractant was Pheroprax?. Among Monochamus species, M. galloprovincialis represented 17.54%, M. sutor 0.09% and M. sartor 0.04% of the long-horned beetles collected. Monochamus individuals were most numerous in the P. nigra stand and were attracted in the greatest numbers by Gallowit?, followed by ethanol+??-pinene. The cerambycid catch was highly correlated with the catch of non-target bark beetle predators (Cleridae, Staphylinidae, Histeridae, Trogositidae, Nitidulidae, Rhizophagidae) in the traps.     

玉米内州萎蔫病在中国的适生性分析

玉米内州萎蔫病是北美玉米生产中的严重病害,为预防其传入我国,本文采用GARP模型对该病害在中国潜在的适生区域进行预测,以期为检疫策略的制定提供参考.预测结果表明,该病害在我国全境均有不同程度的适生性,其高风险区主要是从我国东北部到西南部,包括黑龙江、吉林、辽宁、内蒙古、新疆、北京、河北、山西、陕西、宁夏、甘肃、青海、四川和西藏等省市的全部或部分地区.加强该病害入侵危害我国重要作物玉米的风险管理极为重要.     

基于MaxEnt模型的菜豆象和蚕豆象在中国的适生区预测

为减少外来入侵物种菜豆象Acanthoscelides obtectus和蚕豆象Bruchus rufimanus对中国造成的潜在威胁,收集这2种豆象的全球地理分布数据,采用Pearson相关性分析和主成分分析分别从19个环境变量中筛选关键环境变量,采用MaxEnt模型对历史气候条件下和未来气候情景下这2种豆象在中国的适生区进行预测,并对预测结果进行分析。结果显示,经Pearson相关性分析共筛选出4个关键环境变量用于菜豆象适生性区的模型构建,分别为最暖季度平均温度、最干月份降水量、年气温变化范围及最湿季度降水量,其对MaxEnt模型的累积贡献率分别为31.6%、28.4%、26.3%和13.7%;经Pearson相关性分析共筛选出4个主要关键环境变量用于蚕豆象适生性区的模型构建,分别为最冷季度平均温度、最干月份降水量、最热月份最高温度和最湿月份降水量,其对MaxEnt模型的累积贡献率分别为48.5%、39.5%、7.8%和4.2%。MaxEnt模型重复运行10次后,菜豆象训练数据的平均AUC值为0.938,蚕豆象训练数据的平均AUC值为0.963,均显著高于随机模型的AUC值,表明基于MaxEnt模型的菜豆象和蚕豆象在中国适生区的预测结果准确。未来气候情景下,这2种豆象在中国的适生区均呈现向北扩张的趋势,需加强对这2种豆象的检疫与防治,严防发生区域进一步扩大。     

Reclaiming saline areas in Khorat Basin (Northeast Thailand): Soil properties,species distribution,and germination of potential tolerant species

The objective of this study was to investigate the potential of native Thai species for reclaiming salt-affected areas in Thailand. Plant species diversity in Nakhon Ratchasima Province in northeast Thailand, and their soil characteristics (texture, electrical conductivity (EC_e), exchangeable sodium percentage (ESP), and pH) were measured. A total of 19 species in 16 genera of 12 families were found, among which the most abundant species belonged to the Poaceae and Cyperaceae families. The highest values of EC_e were found near the surface (0–20?cm) with an average range between 30–80?dS?m^?1, while lower values in the range of 15–25?dS?m^?1 were found at lower depths (20–100?cm). Soil conditions in the subplots with plant coverage showed lower EC_e and ESP when compared to plots without vegetation. Seeds from the three most frequently occurring species, including Azima sarmentosa, Gymnosporia mekongensis, and Buchanania siamensis, were then tested for germination at different salinities. Seeds of all three species germinated at high salinities, from 25–45?dS?m^?1, with total germination ranging 40–90%. Together with the ability to germinate at high salinities, these native species showed deep, rapid root elongation, likely to escape high surface EC_e levels (approximately the top 30?cm). Planting these species in areas with vegetation coverage would aid successful reclamation of saline areas. Reclaiming salt-affected soils will not only improve local farmer’s economic status, but can also reduce the extent of deforestation, benefiting the entire ecosystem.     

基于MaxEnt模型的突颊侧琵甲新疆潜在地理分布预测和主要影响因子分析

为有效预警和防控突颊侧琵甲Prosodes(Lioprosodes)dilaticollis Motschulsky发生,基于该物种分布数据、1950―2000年环境下生物气候数据和典型受害区土壤因子数据、气象数据等,采用MaxEnt模型对其在新疆的潜在地理分布及其主要影响因子进行预测和分析验证。结果表明:受试者工作特征曲线下面积(area under the ROC curve,AUC)都大于0.990,预测结果可靠。突颊侧琵甲的潜在分布区位于新疆天山一带,高、中度适生区分布在伊犁河谷草原和昌吉州玛纳斯县、呼图壁县草原及塔城地区沙湾县等地;刀切法得出降水量是影响其潜在地理分布的主要因素,特别是5、6、11、12月降水量的影响最大。该虫典型受害区的降水数据验证了分布概率响应曲线的准确性;土壤湿度在15%~30%范围时,30 cm处土壤湿度与虫口密度呈极显著弱正相关。表明降水作为影响草原土壤湿度、土壤含氧量的主要和直接因素,对不同生长期突颊侧琵甲生存起到重要作用。     

Top 20 environmental weeds for classical biological control in Europe: a review of opportunities, regulations and other barriers to adoption

Classical biological control remains the only tool available for permanent ecological and economic management of invasive alien species that flourish through absence of their co‐evolved natural enemies. As such, this approach is recognized as a key tool for alien species management by the Convention on Biological Diversity (CBD), the European and Mediterranean Plant Protection Organization (EPPO) and the European Strategy on Invasive Alien Species (ESIAS). Successful classical biological control programmes abound around the world, despite disproportionate attention being given to occasional and predictable non‐target impacts. Despite more than 130 case histories in Europe against insect pests, no exotic classical biological control agent has been released in the EU against an alien invasive weed. This dearth has occurred in the face of increasing numbers of exotic invasive plants being imported and taking over National Parks, forests and amenity areas in this region, as well as a global increase in the use of classical biological control around the world. This paper reviews potential European weed targets for classical biological control from ecological and socioeconomic perspectives using the criteria of historical biological control success, taxonomic isolation from European native flora, likely availability of biological control agents, invasiveness outside Europe and value to primary industry and horticulture (potential for conflicts of interest). We also review why classical biological control of European exotic plants remains untested, considering problems of funding and public perception. Finally, we consider the regulatory framework that surrounds such biological control activities within constituent countries of the EU to suggest how this approach may be adopted in the future for managing invasive exotic weeds in Europe.     

Assessing the potential distribution of insect pests: case studies on large pine weevil (Hylobius abietis L) and horse‐chestnut leaf miner (Cameraria ohridella) under present and future climate conditions in European forests

Forest insect pests represent a serious threat to European forests and their negative effects could be exacerbated by climate change. This paper illustrates how species distribution modelling integrated with host tree species distribution data can be used to assess forest vulnerability to this threat. Two case studies are used: large pine weevil (Hylobius abietis L) and horse‐chestnut leaf miner (Cameraria ohridella Deschka & Dimi?) both at pan‐European level. The proposed approach integrates information from different sources. Occurrence data of insect pests were collected from the Global Biodiversity Information Facility (GBIF), climatic variables for present climate and future scenarios were sourced, respectively, from WorldClim and from the Research Program on Climate Change, Agriculture and Food Security (CCAFS), and distributional data of host tree species were obtained from the European Forest Data Centre (EFDAC), within the Forest Information System for Europe (FISE). The potential habitat of the target pests was calculated using the machine learning algorithm of Maxent model. On the one hand, the results highlight the potential of species distribution modelling as a valuable tool for decision makers. On the other hand, they stress how this approach can be limited by poor pest data availability, emphasizing the need to establish a harmonised open European database of geo‐referenced insect pest distribution data.