龙葵上柑橘木虱存活观察与黄龙病检测

柑橘木虱Diaphorina citri是毁灭性病害黄龙病的媒介,其寄主范围比较严格,仅为芸香科内的一些植物。研究发现,在自然状态下,柑橘木虱成虫可在柑橘园中常见茄科Solanaceae杂草-龙葵Solanum nigrum上停留。对比试验显示,木虱成虫在龙葵上的存活期最长可达45 d,而在假臭草Eupatorium catarium、含水海绵和无水海绵上分别为24 d、9 d和2 d;通过实时荧光PCR检测发现部分龙葵叶片中含有黄龙病病原菌。这些非寄主植物可能有助于柑橘木虱躲避不良环境或长距离迁移扩散,成为柑橘木虱和黄龙病的潜在库源。     

利用CLIMEX预测纳塔尔实蝇在中国的潜在地理分布

纳塔尔实蝇Ceratitis rosa Karsch属双翅目实蝇科腊实蝇属,为害30余种经济植物,被我国列为进境植物检疫性有害生物。本研究运用CLIMEX 3.0及ArcGIS 9.3对纳塔尔实蝇在我国目前及未来的潜在地理分布进行了预测。结果显示：在目前的气候条件下,纳塔尔实蝇在我国的潜在地理分布区为18.250°N-30.250°N,其中,华南和东南地区为高度潜在地理分布区,包括四川、重庆、云南、福建、广东、广西、海南以及台湾等地。在未来的气候条件下,2020和2050年潜在地理分布区的北界分别移至31.250°N和32.250°N,且中度潜在地理分布区北移明显;2100年潜在地理分布区的北界移至33.750°N,且高度适生区北移明显。因此建议目前应加强纳塔尔实蝇检疫措施,完善监测体系,监测网点主要设在我国的南方地区,尤其应对云南、广西、广东、福建和海南等地进行长期监测;同时,应对湖南、贵州、江西、湖北、江苏、安徽等省进行定期监测,严防该虫入侵。     

基于CLIMEX预测黑角负泥虫在中国的潜在地理分布

【目的】研究黑角负泥虫在我国的潜在地理分布及其入侵风险程度。【方法】运用适生性分析软件CLIMEX 4. 0对黑角负泥虫在我国的潜在地理分布进行模拟,将模拟结果在地理信息系统软件Arc GIS10.2下进行插值分析,并绘制黑角负泥虫的潜在地理分布示意图。【结果】黑角负泥虫高度适生区主要集中在我国的华北平原、黄土高原南部及云贵高原北部;中度适生区主要集中在华北平原北部、黄土高原北部及东北平原地区;低度适生区则多分布在中高度适生区的过渡区域及我国新疆天山南北两侧地区。限制黑角负泥虫在我国分布的主要胁迫因素为干胁迫和冷胁迫,且其影响的区域主要分布在我国的西北和东北地区。【结论】黑角负泥虫在我国潜在地理分布范围广,适生程度高。目前,黑角负泥虫已经传播到我国的新疆和内蒙古等省(自治区),但由于地理隔离的存在和自身较弱的扩散条件,并没有传入气候适宜度较高的东部地区。随着东西部经济交流的不断增多,黑角负泥虫随人为因素进一步扩散的可能性将不断增加。因此,建议检疫部门做好检疫工作,严防黑角负泥虫的传播扩散。     

Establishment of the biological control agent Hypocosmia pyrochroma for Dolichandra unguis-cati (Bignoniaceae) is limited by microclimate

Cat's claw creeper, Dolichandra unguis-cati (Bignoniaceae), a perennial woody vine native to tropical America, is a target for biological control in Australia and South Africa. The cat's claw creeper leaf-tying moth Hypocosmia pyrochroma (Lepidoptera: Pyralidae) from tropical South America was released as a biological control agent for cat's claw creeper in Australia from 2007 to 2010. A total of 2,277 adults, 837 pupae and 77,250 larvae were released at 40 sites in Queensland and New South Wales. Releases were made mostly in open fields (85%), and at limited sites (15%) in insect-proof cages erected over naturally occurring cat's claw creeper infestations in the field. Sampling was conducted annually in spring and autumn to monitor the establishment and dispersal of H. pyrochroma. Establishment of H. pyrochroma was first noticed in 2012 at three release sites and since then the number of established sites has increased to 80 in 2020. Establishment was evident on both ‘short-pod’ and ‘long-pod’ forms of cat's claw creeper and was more widespread in sites where releases were made within insect-proof field cages (50%) than in sites with open field releases (9%). The moth was active from late spring to late autumn with peak larval activity in late summer. To date, all field establishments have been in areas predicted by a CLIMEX model as climatically suitable but restricted mostly to riparian environment (93% of establishment), where the moth has continued to spread from 1.5 to 23 km from release sites. In contrast, there is the only limited establishment and spread in non-riparian corridors, highlighting the role of microclimate (riparian) as a limiting factor for establishment and spread. Future efforts will focus on redistribution of the agent to river/creek systems where the moth is currently not present.     

Predicting population dynamics of weed biological control agents: science or gazing into crystal balls?

Abstract  Various factors can influence the population dynamics of phytophages post introduction, of which climate is fundamental. Here we present an approach, using a mechanistic modelling package (CLIMEX), that at least enables one to make predictions of likely dynamics based on climate alone. As biological control programs will have minimal funding for basic work (particularly on population dynamics), we show how predictions can be made using a species geographical distribution, relative abundance across its range, seasonal phenology and laboratory rearing data. Many of these data sets are more likely to be available than long-term population data, and some can be incorporated into the exploratory phase of a biocontrol program. Although models are likely to be more robust the more information is available, useful models can be developed using information on species distribution alone. The fitted model estimates a species average response to climate, and can be used to predict likely geographical distribution if introduced, where the agent is likely to be more abundant (i.e. good locations) and more importantly for interpretation of release success, the likely variation in abundance over time due to intra- and inter-year climate variability. The latter will be useful in predicting both the seasonal and long-term impacts of the potential biocontrol agent on the target weed. We believe this tool may not only aid in the agent selection process, but also in the design of release strategies, and for interpretation of post-introduction dynamics and impacts. More importantly we are making testable predictions. If biological control is to become more of a science making and testing such hypothesis will be a key component.     

The current and future potential geographic range of West Indian fruit fly,Anastrepha obliqua （Diptera： Tephritidae）

The West Indian fruit fly, Anastrepha obliqua （Macquart）, is one of the most important pests throughout the Americas. CLIMEX 3.0 and ArcGIS 9.3 were used to model the current and future potential geographical distribution of this pest. Under current climatic conditions, A. obliqua is predicted to be able to establish throughout much of the tropics and subtropics, including not only North and South America, where it has been reported, but also southern Asia, northeastern Australia and Sub-Saharan Africa. The main factors limiting the pest＇s range expansion may be cold stress. Climate change expands the potential distribution of A. obliqua poleward as cold stress boundaries recede, but the predicted distribution in northwestern Australia and northern parts of Sub-Saharan Africa will decrease because of heat stress. Considering the widely suitable range for A. obliqua globally and in China, enhanced quarantine and monitoring measures should be implemented in areas that are projected to be suitable for the establishment of the pest under current and future climatic conditions.     

Prediction of global geographic distribution of Metcalfa pruinosa using CLIMEX

Globalization has changed the habitats of various species, resulting in harmful pest invasion. Among these pests, Metcalfa pruinosa has caused worldwide economic and hygienic damage in both urban and agricultural/forested areas. It has been reported that prediction of pest distribution is key to the management of pest prevention. Hence, this study aimed to predict the potential geographic distribution of M. pruinosa under the current climate and under a climate change scenario. CLIMEX, modeling software that analyzes the habitat suitability of a target species based on comprehensive climatic and physiological data, was used mainly to establish a map of predictive distribution of M. pruinosa at present and in the future. Based on our simulations, we predict that M. pruinosa will tend to extend its distribution northward in North America and Europe. We conclude that climate change could result in M. pruinosa invasion in a northward direction, suggesting the need for a thorough system of control and prevention.     

Insect distribution in response to climate change based on a model: Review of function and use of CLIMEX

The significant dependence of agricultural productivity on pest control requires pest distribution predictions at an early stage of pest invasion. Because pest cycles are critically affected by climate, climate is one of the most important factors for predicting an invasive pest. CLIMEX is a highly effective tool that can predict potential geographical species distributions, and test the regional suitability for a target species' habitat based on data including climate change scenarios. CLIMEX has been recently used in Europe, North America, China and Australia, among others. However, for modeling species distributions in Korea, the use of the model has been limited to date. This study aimed to first introduce the function and application of CLIMEX by reviewing important studies using this model. Second, we investigated previous studies using the model simulation to demonstrate the practical applicability of CLIMEX for the agricultural sector, and its use in forecasting.     

Will climate change be beneficial or detrimental to the invasive swede midge in North America? Contrasting predictions using climate projections from different general circulation models

Climate change may dramatically affect the distribution and abundance of organisms. With the world's population size expected to increase significantly during the next 100 years, we need to know how climate change might impact our food production systems. In particular, we need estimates of how future climate might alter the distribution of agricultural pests. We used the climate projections from two general circulation models (GCMs) of global climate, the Canadian Centre for Climate Modelling and Analysis GCM (CGCM2) and the Hadley Centre model (HadCM3), for the A2 and B2 scenarios from the Special Report on Emissions Scenarios in conjunction with a previously published bioclimatic envelope model (BEM) to predict the potential changes in distribution and abundance of the swede midge, Contarinia nasturtii, in North America. The BEM in conjunction with either GCM predicted that C. nasturtii would spread from its current initial invasion in southern Ontario and northwestern New York State into the Canadian prairies, northern Canada, and midwestern United States, but the magnitude of risk depended strongly on the GCM and the scenario used. When the CGCM2 projections were used, the BEM predicted an extensive shift in the location of the midges' climatic envelope through most of Ontario, Quebec, and the maritime and prairie provinces by the 2080s. In the United States, C. nasturtii was predicted to spread to all the Great Lake states, into midwestern states as far south as Colorado, and west into Washington State. When the HadCM3 was applied, southern Ontario, Saskatchewan, and Washington State were not as favourable for C. nasturtii by the 2080s. Indeed, when used with the HadCM3 climate projections, the BEM predicted the virtual disappearance of ‘very favourable’ regions for C. nasturtii. The CGCM2 projections generally caused the BEM to predict a small increase in the mean number of midge generations throughout the course of the century, whereas, the HadCM3 projections resulted in roughly the same mean number of generations but decreased variance. Predictions of the likely potential of C. nasturtii spatial spread are thus strongly dependent on the source of climate projections. This study illustrates the importance of using multiple GCMs in combination with multiple scenarios when studying the potential for spatial spread of an organism in response to climate change.     

黄顶菊在中国的潜在适生区

菊科黄菊属植物黄顶菊近年出现在我国华北地区天津市和河北省的衡水、廊坊等地,其入侵范围有不断扩大的趋势.黄顶菊是一种入侵性极高的一年生杂草,对农牧业生态系统有极大的破坏性.为指导黄顶菊的防除和制定相关的控制政策,本研究根据黄顶菊在其原产地南美洲及扩散入侵地的分布资料,采用CLIMEX生态位模型对其在中国的潜在适生分布区域进行预测.结果表明,黄顶菊在中国的潜在适生区域集中分布于东南部的广东、广西、云南、海南、福建、台湾、江西、湖南、贵州、四川、重庆、湖北、安徽、江苏、上海15个省（市、自治区）,其中高风险区域包括广东、广西、台湾、海南、福建、云南、四川、贵州、重庆和西藏局部地区.