入侵害虫菊方翅网蝽在中国的潜在分布预测

菊方翅网蝽Corythucha marmorata(Uhler,1878)是我国新近发现的外来入侵害虫,研究明确菊方翅网蝽在我国的潜在分布范围对其监测预警及科学防控具有重要意义。本研究根据菊方翅网蝽的地理分布数据及相关环境变量,运用Maxent生态位模型与ArcGIS预测了菊方翅网蝽在中国的潜在地理分布范围。预测结果表明:菊方翅网蝽在我国的适生区主要分布于100°～125°E,20°～40°N的亚热带、暖温带区域,其中高适生区主要集中在长江中下游地区,包括浙江、江苏、湖南、上海大部分地区、安徽南部、湖北南部、江西西部及南部、贵州东部、福建东部、广西北部、山东中部、河南南部以及重庆、台湾局部;此外,极端气温、平均气温、最干月份降雨量对菊方翅网蝽的潜在分布影响较大。菊方翅网蝽已在我国成功入侵并迅速蔓延成灾,应在疫区边缘地带加强监测,并采取措施防止其进一步扩散。     

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。     

疏勒河中游生态服务价值对土地利用变化的响应

利用ArcGIS 9.2和ERDAS 9.1软件平台和生态经济学方法,采用Costanza等生态系统服务价值计算公式,结合中国陆地生态系统服务单位面积价值,探讨了疏勒河中游1990-2010年土地利用和生态系统服务价值变化特征.结果表明:1990-2010年,疏勒河中游土地利用以未利用地、牧草地、耕地为主,三者面积占研究区总面积的98.2％,20年间土地利用整体特征并未发生重大变化;疏勒河中游主要土地利用变化发生在耕地、建设用地和牧草地,土地利用动态度分别为13.6％、8.0％和7.7％;生态系统服务价值总体呈上升趋势,从344.85亿元增加到485.11亿元,牧草地和水域对研究区总体生态系统服务价值的贡献率最大.研究区生态经济的发展已经处于低度协调水平的边缘,需要加强生态环境保护力度.     

Geographical distribution patterns of Metaeuchromius in Asia and description of a new species from China (Lepidoptera,Crambidae)

The geographical distribution patterns of Asian Metaeuchromius are analysed with MaxEnt and ArcGIS based on known localities and nineteen environmental variables. The results suggest that the most highly suitable area of the genus located in southeastern China. Precipitation of the warmest quarter (Bio18) and temperature seasonality (Bio4) are the most significant variables affecting geographical distribution Metaeuchromius. Furthermore, a new species from Jiangxi Province, southeast China is added to the genus, Metaeuchromius grandispinata Li, sp. nov. Its habitus, tympanic organs and genitalia are illustrated, and two maps showing geographical distribution patterns of Metaeuchromius in Asia are provided.     

亚洲型舞毒蛾在北美的适生性

采用DYMEX V2.0软件和ArcGIS分析工具相结合的方法,提出亚洲型舞毒蛾Lymantria dispar(L.)的DYMEX参数指标体系和适生性评判标准,分析亚洲型舞毒蛾在北美的适生范围与适生程度。研究表明,加拿大的南部、美国的大部分地区以及墨西哥中南部极少部分区域为该虫的适生区。研究结果将为国家植物保护部门提供有关亚洲型舞毒蛾的植物检疫决策支持。     

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.     

Past,current, and future trends of red spiny lobster based on PCA with MaxEnt model in Galapagos Islands,Ecuador

In order to enhance in terms of accuracy and predict the modeling of the potential distribution of species, the integration of using principal components of environmental variables as input of maximum entropy (MaxEnt) has been proposed in this study. Principal components selected previously from the principal component analysis results performed in ArcGIS in the environmental variables was used as an input data of MaxEnt instead of raw data to model the potential distribution of red spiny lobster from the year 1997 to 2015 and for three different future scenarios 2020, 2050, and 2070. One set of six original environmental variables pertaining to the years 1997–2015 and one set of four variables for future scenarios were transformed independently into a single multiband raster in ArcGIS in order to select the variables whose eigenvalues explains more than 5% of the total variance with the purpose to use in the modeling prediction in MaxEnt. The years 1997 and 1998 were chosen to compare the accuracy of the model, showing better results using principal components instead of raw data in terms of area under the curve and partial receiver operating characteristic as well as better predictions of suitable areas. Using principal components as input of MaxEnt enhances the prediction of good habitat suitability for red spiny lobster; however, future scenarios suggest an adequate management by researches to elaborate appropriate guidelines for the conservation of the habitat for this valuable specie with face to the climate change.     

不同饥饿程度的拟小食螨瓢虫成虫摄食朱砂叶螨前后的运动格局变化

【目的】对比分析饥饿和未饥饿的拟小食螨瓢虫Stethorus parapauperculus成虫取食朱砂叶螨Tetranychus cinnabarinus前后的运动格局变化,为探明其搜索行为的生态学机制提供参考。【方法】基于Nakamuta装置原理,跟踪并绘制拟小食螨瓢虫成虫取食前后的运动轨迹,采用ArcGIS空间分析模块对运动轨迹进行处理,获取其统计参数,对比分析该瓢虫在两种状态下取食前后的搜索距离、搜索速度、搜索角度变化等特征,并阐述其搜索行为特性。【结果】饥饿24 h和未饥饿瓢虫取食单头朱砂叶螨所需时间分别为(5.99±0.91)min和(2.25±0.58)min。饥饿24 h的瓢虫在取食前多呈直线或锐角行走,运动轨迹主要分布于试验区域近边缘处,且各停点间曲线距离、搜索速度均大于取食后;取食后掉头次数频繁,活动角度转换增大,运动轨迹主要在猎物附近区域进行搜索,且在取食后60~75 s的搜索距离、搜索速度与取食前均存在显著差异。未饥饿状态瓢虫取食前后运动轨迹角度波动较大,无明显规律,且各停点间的曲线长度、搜索速度经t检验无显著差异。【结论】拟小食螨瓢虫成虫对猎物的搜索行为受其饥饿状态的影响。饥饿状态下,取食前为广域型搜索,取食后一段时间内为地域集中型搜索;未饥饿状态下的瓢虫取食前后的搜索行为则无明显规律,其搜索类型兼有广域和地域集中型搜索特征,具有一定随机性。     

中国珍稀药用植物白及的潜在分布与其气候特征

基于白及（Bletillastriata）地理分布信息和影响白及分布的主导气象因子,利用最大熵模型和地理信息系统预测了中国白及的潜在分布与其气候特征。结果表明：所建模型经ROC曲线验证,预测效果非常好（AUC〉0．9）：中国白及潜在分布区主要位于秦岭、淮河以南大部分地区,白及主要适生省份为云南、湖北、四川、湖南、江西、浙江;刀切法测试表明,4月和10月最低气温、年温度变化范围、11月平均降水量为影响白及潜在分布的最主要气象因子。研究结果可为白及资源的调查、保护与人工种植产业的发展提供理论指导。