A machine learning algorithm-based approach (MaxEnt) for predicting invasive potential of Trioza erytreae on a global scale

The African citrus triozid (ACT) Trioza erytreae (Del Guercio) (Hemiptera: Triozidae), is a principal vector of “Candidatus Liberibacter species”, the pathogens implicated in citrus greening disease, infecting millions of citrus trees annually. Unfortunately, present control measures are insufficient, necessitating the development of novel climate-smart pest management strategies. Maximum entropy model (MaxEnt) was employed to assess habitat suitability for ACT. The area under the curve values for the initial and final models were 0.968 and 0.962, respectively. The model predicts an expansion of suitable areas outside the pest's known historical records. The environmental variables that most influenced ACT's distribution were isothermality, average temperature of coldest quarter, average temperature of driest quarter, and highest temperature of warmest month, with contributions of 37.5%, 16.4%, 13.2%, and 12.7%, respectively. The major citrus-producing countries, such as China, Brazil, and the USA, would have suitable areas for ACT until 2050. The risk maps created in this study could be used in the field to prevent further ACT invasions, thereby contributing to sustainable management of citrus greening disease.     

Host suitability and feeding preference of the African citrus triozid Trioza erytreae Del Guercio (Hemiptera: Triozidae), natural vector of “Candidatus Liberibacter africanus”

African citrus greening (ACGD) and huanglongbing (HLB) diseases are the most damaging diseases of citrus worldwide. Currently, the disease has no cure and has been attributed to the collapse of the citrus industry in several countries. In Africa, the causative agent “Candidatus” Liberibacter africanus is vectored by African citrus triozid (ACT) Trioza erytreae Del Guercio (Hemiptera: Triozidae). African citrus triozid is native to Africa but has been recently reported in Asia and Europe. Apart from citrus, Murraya koenigii (L.) and Clausena anisata (Willd) Hook. F. ex Benth. are also considered as preferred host plants. At present, there is scant information on host plant suitability and preference of T. erytreae. Also, there are contradictory reports on its reproduction and survival on rutaceous and non‐rutaceous host plants. In the present study, we tested the suitability and preference of rutaceous and non‐rutaceous trees and shrubs as potential ACT host plants in choice and no‐choice bioassays. The development from egg to the adult stage was longest on Calodendrum capense (Wright & Arn.) Engl. Host plants of superior quality accordingly to several ACT's biological parameters measured also revealed significantly higher morphometric characteristics. Our findings on the host status of the five rutaceous plants imply that these plants can greatly influence the population dynamics of ACT as well as the epidemiology of ACGD, and these can be a useful guide in the area‐wide management of the pest in Kenya.     

Predicting potential distributions of invasive species: the exotic Barbary ground squirrel in the Canarian archipelago and the west Mediterranean region

This contribution aimed to predict the invasive Barbary ground squirrel (Atlantoxerus getulus) potentiality for invading the Canary Islands and western Mediterranean region, by determining firstly the climatic suitable areas in its native range and secondly, using presence data in the invaded range. Nineteen environmental variables submitted to a Principal Components Analysis selected those variables with higher factor loadings, which represent the main environmental conditions of the Northern African region (temperature in the coldest quarter, seasonal temperature, precipitation in the coldest quarter, temperature in the wettest quarter). After selecting hundred times more pseudo-absence points than presence observations (n = 6600 at a 0.083° resolution), Generalized Additive Models and Single-hidden-layer Neural Networks fitted in R were used to calibrate the model. Model results were extrapolated for the Canary Islands and the western Mediterranean region. In order to select between the two techniques, we calculated three accuracy measures (specificity, sensitivity and AUC) after using a Jack-knifing procedure and models were repeated ten times. The GAM model was less accurate than the NN model. Suitable areas did not have mean temperatures in the coldest quarter lower than −5°C and precipitation in the coldest quarter higher than 300 mm, respectively. We predicted favorable climatic areas across almost all the Maghreb, the European western Mediterranean region and in all the Canary Islands. Nevertheless, the seven islands differed significantly in the mean favorability scores, with El Hierro, Lanzarote and Gran Canaria being the most suitable. Same methodological analysis was applied to predict A. getulus distribution in other Canarian islands based on presence data from the invaded Fuerteventura. In this case, only Lanzarote and Gran Canaria appeared to be climatically suitable for the species. Our predictive model is an applicable tool to establish the invasive potential of A. getulus and to prioritize management strategies, within and outside the Canarian archipelago, to impede the expansion of this invasive squirrel out of Fuerteventura Island.     

Modelling the potential distribution of Mesalina watsonana (Stoliczka, 1872) (Reptilia: Lacertidae) on the Iranian Plateau

The Persian Long-tailed Desert Lizard, Mesalina watsonana, is one of the most common and most widely distributed lizards on the Iranian Plateau extending from Iran to Pakistan and Afghanistan. The species is frequently encountered in various types of habitats. We collected over 600 distributional records from available literature, museum collections, and our own field work and used bioclimatic and land cover characteristics to develop a model of potential distribution for M. watsonana. According to the model, the most important factors limiting the distribution of M. watsonana are: precipitation in wettest quarter exceeding 250–300 mm, precipitation in coldest quarter lower than 40 mm and exceeding 250 mm, altitudes above 2500 m and slopes steeper than 10.5°. The model suggests that most of the Iranian Plateau is suitable for the species except for some isolated areas such as the Dasht-e Kavir and Dasht-e Lut deserts in Iran, Helmand basin in Afghanistan, the Karakum Desert in Turkmenistan, the western Chagai-Kharan deserts of Pakistani Balochistan, and Thar and Cholistan deserts in eastern Pakistan. The most important factor in these regions appears to be the extremely low rainfall during coldest quarter of the year. The outer boundary of the distribution of M. watsonana follows important biogeographic barriers that are also clearly delimited by climatic conditions.     

基于最大信息熵模型的能源物种麻疯树潜在适宜区

麻疯树(Jatropha curcas L.)为传统能源植物,是作为生物柴油最具希望的植物资源之一。本研究通过收集麻疯树分布点的经纬度数据,基于气候、土壤和地形等37个相关生态因子,采用最大信息熵模型,预测麻疯树的潜在适宜区域,分析影响其生长的主要生态因子特征。结果显示,麻疯树生长最适宜区域主要分布在我国华南地区的广东、海南、香港、台湾和西南地区的广西、云南、四川;对麻疯树分布贡献率较大的主要生态因子为:最暖季度降水量(53.5%)、温度季节性变化标准差(15.8%)、降水量变异系数(9.3%)、年均温变化范围(5.8%)、最湿季度降水量(3.6%)、最干月降水量(3.2%);Maxent模型预测的AUC值大于0.9,表明对麻疯树潜在分布的预测结果较准确。本文对麻疯树潜在分布区域以及影响其分布的主要生态条件的研究结果,可为麻疯树的种植栽培提供科学依据。     

未来气候变化下栎树猝死病菌在中国的适生性分析

基于中国国家有害生物检疫信息平台的有关记录和文献以及WoldClim网站,获取栎树猝死病菌的地理分布数据及气候数据,并用SPSS软件和刀切法筛选主导环境变量。利用MaxEnt生态位模型和ArcGIS软件,对栎树猝死病菌现代和未来情景下在我国的潜在适生区进行预测,并计算和绘制栎树猝死病菌高风险区质心转移轨迹。通过不同年份和不同气候情况下的受试者工作特征曲线(ROC)的训练集和测试集受试者工作特征曲线下面积(AUC)值均大于0.91,说明MaxEnt模型准确并适用于预测栎树猝死病菌在我国的潜在分布,同时结合其主要寄主植物的地理分布进一步增强预测模型的可信度。预测结果表明,最冷季度降水量、最冷季度平均温度、最干季度平均温度和年均降水量是影响栎树猝死病菌分布的主要环境变量。而2030s(2021—2040年)、2050s(2041—2060年)和2070s(2061—2080年)在3种气候情景下(SSP1-2.6、SSP2-4.5、SSP5-8.5),栎树猝死病菌的潜在适生区相较于现代情景下都有所增加。此外,高风险区面积在3个年代3种情景下的面积增长率均高于45%。高风险区质心变化的预测结果表...     

中国特有植物雪落樱桃潜在分布及其生态特征

为明确中国特有植物雪落樱桃(Cerasus xueluoensis)的潜在分布与居群生态特征,利用DIVA-GIS软件及其耦合的BIOCLIM模型,首次绘制了雪落樱桃适生区分布模拟图,并对影响其分布的主导气候因子进行了定性定量分析。结果表明,雪落樱桃当前潜在适生区主要分布在亚热带长江流域1 200 m以上高海拔山区,其中渝-鄂-湘三省交界的大巴山-巫山山脉可视为现代核心分布区,湘黔交界及湘南的南岭山脉可视为雪落樱桃潜在分布的南界,陕-豫-鄂交界山区的秦岭南麓可能是其潜在分布的北界。主成分分析(PCA)筛选的主导气候因子及其贡献率依次为:年降水量(bio12)最冷季降水量(bio19)最暖季降水量(bio18)最湿季降水量(bio16),累计频率曲线进一步确定其适宜范围分别为:993.00～1 870.22、500.00～680.00、430.00～669.16和500.00～680.00mm,表明降水是影响雪落樱桃当下分布格局的主导气候限制因子。Pearson相关性分析表明,雪落樱桃分布格局在区域尺度上受海拔、经、纬度影响;最小树分析和聚类分析表明,雪落樱桃7个野生居群可划分为中西部与东部两大分支;受试者工作特征曲线(ROC) AUC值达到0.751,满足模型预测精度的基本要求。这些有助于为雪落樱桃制定科学合理的资源保护与科学引种规划。     

石山苣苔属的潜在适生区特征及其环境驱动变量

石山苣苔属(Petrocodon Hance)是著名的观赏花卉之一，但气候动荡和人类活动的强烈干扰，使其绝大部分被评估为极危(CR),至少也是易危(VU)以上。为重建末次间冰期以来石山苣苔属潜在适生区的时空变化，探讨适生区对环境变化的响应关系，为石山苣苔属的起源、地理分化研究和中国特有种质资源保护、园林开发利用提供理论指导，该研究结合120个分布记录和17个环境变量，应用优化的MaxEnt模型和地理信息技术(ArcGIS)对石山苣苔属在中国及中南半岛的适生区及其分布格局进行模拟，并基于逐步多元线性回归分析、冗余分析和蒙特卡洛检验评估影响石山苣苔属当前地理分布的主导变量。结果表明：(1)优化的MaxEnt模型的预测精度高，AUC值大于0.96;石山苣苔属当前适生区从中国西南部连续分布至越南北部，零散分布于中国中部和南部、块状分布于缅甸北部，其中以中国云贵高原南部为最佳适生区。(2)制约石山苣苔属当前地理分布的主导环境变量为最干月降雨量(bio14)、最热季度平均降雨量(bio18)、最湿季降雨量(bio16)、温度变化方差(bio4)、最冷月最低温度(bio6)、海拔(alt)。(3)在...     

Past distribution of epiphyllous liverworts in China: The usability of historical data

Epiphyllous liverworts form a special group of bryophytes that primarily grow on the leaves of understory vascular plants in tropical and subtropical evergreen broadleaf forests. Being sensitive to moisture and temperature changes, epiphyllous liverworts are often considered to be good indicators of climate change and forest degradation. However, they are a poorly collected and taxonomically complicated group, with an only partly identified distribution pattern. In this study, we built four models based on 24 environmental variables at four different spatial resolutions (i.e., 1 km, 5 km, 10 km, and 15 km) to predict the past distribution of epiphyllous liverworts in China, using Maxent model and 63 historical location records (i.e., presence‐only data). Both area under the curve of the receiver operating characteristic (AUC) and true skill statistic (TSS) methods are used to assess the model performance. Results showed that the model with the predictors at a 15‐km resolution achieved the highest predictive accuracy (AUC=0.946; TSS=0.880), although there was no statistically significant difference between the four models (p > 0.05). The most significant environmental variables included aridity, annual precipitation, precipitation of wettest month, precipitation of wettest quarter, and precipitation of warmest quarter, annual mean NDVI, and minimum NDVI. The predicted suitable areas for epiphyllous liverworts were mainly located in the south of Yangtze River and seldom exceed 35°N, which were consistent with the museum and herbarium records, as well as the historical records in scientific literatures. Our study further demonstrated the value of historical data to ecological and evolutionary studies.     

Climatic niche of the Saker Falcon Falco cherrug: predicted new areas to direct population surveys in Central Asia

Accurate species distribution data across remote and extensive geographical areas are difficult to obtain. Here, we use bioclimatic envelope models to determine climatic constraints on the distribution of the migratory Saker Falcon Falco cherrug to identify areas in data-deficient regions that may contain unidentified populations. Sakers live at low densities across large ranges in remote regions, making distribution status difficult to assess. Using presence-background data and eight bioclimatic variables within a species distribution modelling framework, we applied MaxEnt to construct models for both breeding and wintering ranges. Occurrence data were spatially filtered and climatic variables tested for multicollinearity before selecting best fit models using the Akaike information criterion by tuning MaxEnt parameters. Model predictive performance tested using the continuous Boyce index (B) was high for both breeding (B_TEST = 0.921) and wintering models (B_TEST = 0.735), with low omission rates and minimal overfitting. The Saker climatic niche was defined by precipitation in the warmest quarter in the breeding range model, and mean temperature in the wettest quarter in the wintering range model. Our models accurately predicted areas of highest climate suitability and defined the climatic constraints on a wide-ranging rare species, suggesting that climate is a key determinant of Saker distribution across macro-scales. We recommend targeted population surveys for the Saker based on model predictions to areas of highest climatic suitability in key regions with distribution knowledge gaps, in particular the Qinghai-Tibet plateau in western China. Further applications of our models could identify protected areas and reintroduction sites, inform development conflicts, and assess the impact of climate change on distributions.     

Modelling the potential distribution of the Bridled Skink,Trachylepis vittata (Olivier, 1804), in the Middle East

The Bridled Skink, Trachylepis vittata, is widespread in the Middle East and eastern coastal Mediterranean areas and inhabits foothills throughout the arid regions of the Middle East. With the help of more than 146 distribution records from Iran, Turkey, Syria, Israel, Jordan, Cyprus, Egypt, Lebanon and Libya, we analysed the influence of climate on the distribution pattern. According to the Maximum Entropy model, the most influential factors that determined T. vittata distribution are: precipitation of coldest quarter, Normalised Difference Vegetation Index (NDVI) and precipitation in the warmest quarter. The model suggests that the western slopes of the Zagros Mountains in Iran and slopes in the southern regions of Anatolia around the Mediterranean Sea are suitable for this species. The species is associated with areas with intermediate NDVI (150-180) (a measure of primary productivity), high winter precipitation (>300?mm) and dry summer (<50mm). The association with rainy winter limits the presence of the species in lowlands. The Zagros Mountains may act as a biogeographic barrier that limits the species dispersal eastward, because of their scarce precipitation.     

唇形科苣叶鼠尾草的新分布及适生分布区预测

在野外调查的基础上,报道了苣叶鼠尾草在贵州和广西的省级新分布。基于苣叶鼠尾草16个分布数据和11个环境因子参数,运用最大熵(MaxEnt)模型对其适生分布区进行预测,并通过受试者工作特征(receiver operating characteristic,ROC)曲线对模型精度进行验证。结果表明:(1)ROC曲线下面积(AUC)均值为0.999,模型预测结果准确性较高,适合苣叶鼠尾草的潜在适生区预测。苣叶鼠尾草的适生区主要分布于中国西南地区以及与中国南部相邻国家的部分地区。核心适宜区集中在中国滇黔桂、四川东部和滇东南中越边境的石灰岩山区。(2)刀切法(Jackknife)检测结果表明,影响苣叶鼠尾草适生分布区的主要环境因子包括:最暖季降水量、最冷月最低温、平均气温日较差以及最冷季降水量等。适生区环境因子的统计分析结果显示,苣叶鼠尾草适宜生长在最暖季降水量650~1500 mm、最冷月最低温0~10℃、平均气温日较差6.5~8.5℃、最冷季降水量0~250 mm的地区。研究结果可为苣叶鼠尾草的资源调查和相关研究提供有利依据。     

气候变化情景下少花蒺藜草在中国的分布区变化

少花蒺藜草(Cenchrus spinifex)是我国的入侵种植物之一，严重影响我国的畜牧养殖业和生态环境。为了预测未来气候变化情景下，少花蒺藜草的适生分布区变化，该研究基于MaxEnt模型，利用103个少花蒺藜草的地理分布数据和19个气候环境因子，分析预测在RCP 4.5、RCP 8.5两种未来气候变化情景下，2050s和2070s时段在我国范围内少花蒺藜草的适生分布区。结果表明：(1)少花蒺藜草的当前适生分布区占研究区域面积的4.00%,主要分布于内蒙古自治区、吉林省、辽宁省三省(区)接壤的东北地区。(2)未来少花蒺藜草的适生分布区面积有所增加，其中中等适生区所占面积扩张程度最大，达到38.26%。(3)年平均气温、温度季节性变化标准差、最湿季降水量是影响少花蒺藜草分布的主要气候因子。(4)未来少花蒺藜草的分布质心总体向西移动。综上认为，目前在中国范围内，少花蒺藜草的已入侵区域还远小于潜在可入侵区域，未来还可能向我国干旱半干旱区进一步扩散，为防止少花蒺藜草在我国北方地区大面积扩散带来的危害，未来需要重点关注对其的预防措施和入侵态势。该研究结果为我国防治入侵种植物提供重要的理论依据和...     

北重楼潜在适生区对气候变化的响应及其主导气候因子

基于现有物种数据结合气候变量来预测物种的潜在地理分布,对于了解物种进化以及合理保护具有重要意义。本研究基于中国境内220个北重楼分布点和12个相关系数较低的气候因子,利用MaxEnt模型和ArcGIS软件预测了北重楼在当前时期和未来时期(2050s、2070s)的潜在适生区,并分析了影响其地理分布的主导气候因子。结果表明: MaxEnt模型AUC值为0.940,预测结果准确性较高;当前时期,北重楼的总适生区面积占整个研究区域面积的18.1%,其中,高适生区和低适生区分别占7.0%和11.1%,主要位于大兴安岭、小兴安岭、长白山山脉、秦岭-大巴山区、河北、山西以及山东北部等地区;未来时期在RCP 2.6、RCP 4.5、RCP 6.0、RCP 8.5气候情景下,2050s和2070s中国境内北重楼的总适生区面积均呈现缩减趋势,其中,高适生区面积均减少,而低适生区面积则全部有所增加,且北重楼适生区的范围和几何中心逐渐向东北方向的高海拔地区扩散;影响北重楼地理分布的主导气候因子分别为最湿月降水量、年平均温度、等温性和1月降水量,累积贡献率高达89.2%,其适宜范围分别为100～275 mm、-0.1～16 ℃、21～35和3～14 mm。     

基于MaxEnt生态位模型预测对齿藓属(Didymodon)植物在新疆的潜在地理分布

该文基于MaxEnt模型,利用获得的132个对齿藓属(Didymodon)植物在新疆分布的信息,结合RCP45 CO2排放情景下2050年和2070年的19个生物气候数据预测该属在当代、2050年和2070年的潜在分布区域。结果显示,最湿季平均温度、年平均气温、最干季降水量和年降水量是影响该属分布最主要的气候因子,其贡献率分别为33.6%、22.2%、16.4%和14.6%;模型模拟准确度高(AUC值达0.84);在当代气候条件下,对齿藓属植物的适宜生境面积占新疆总面积的38.51%;最适分布区域是中部的天山山脉、南部昆仑山脉的东部和西部的帕米尔高原;与当代的分布预测结果相比,未来(2050年和2070年)该属适宜栖息地分布范围总体上呈现退缩趋势;退缩后的适宜生境面积分别占新疆总面积的36.56%和37.87%。温度和降水量可能是引起对齿藓属地理分布退缩的重要气候因子。研究结果可为探讨气候变化对干旱、半干旱区苔藓植物物种分布的影响提供参考资料。     

中国兜兰属宽瓣亚属植物地理分布格局及其主导气候因子

为明确兜兰属宽瓣亚属(Paphiopedilum Subgen. Brachypetalum)植物在中国的自然地理分布格局及其主导气候因子,该研究以7种宽瓣亚属植物为研究对象并利用ArcGIS技术提取其在中国194个地理分布点的气候数据, 采用描述性统计分析宽瓣亚属植物在中国分布区的气候特点, 采用逐步回归拟合各气候因子与其经纬度分布的线性关系, 最后通过冗余分析(RDA)和蒙特卡洛(Monte-Carlo)检验量化各气候因子对宽瓣亚属植物地理分布的贡献率。结果表明: (1)宽瓣亚属植物在中国主要分布于滇东南、黔西南、黔南、黔东北、滇西北、桂北与黔南交界处以及桂西北至桂西南地区。(2)该亚属植物在中国分布区的昼夜温差月均值、年平均气温变化范围、最暖季度平均气温、最冷季度平均气温4项热量因子的平均值分别为8.13、23.70、23.62和9.23 ℃, 降水量变异系数、最湿季度降水量、最干季度降水量、干旱指数4项水分因子平均值分别为75.66%、673.10 mm、73.97 mm和26.12%, 整体上具有湿热的气候特点; 各物种间, 狭域分布的物种与广布种间的气候因子存在显著差异。(3)逐步回归分析表明, 各拟合方程均达到极显著水平, 昼夜温差月均值、最暖季度平均气温、最冷季度平均气温、降水量变异系数、最干季度降水量、干旱指数是影响中国宽瓣亚属植物沿经度分布的主要因子; 最冷季度平均气温、最湿季度降水量、年平均气温变化范围、最干季度降水量、降水量变异系数是影响中国宽瓣亚属植物沿纬度分布的主要因子。(4) RDA结果显示, 气候因子在第1轴的解释率为73.32%, 在第2轴的解释率为21.29%, 累计解释率为94.61%, 各气候因子的解释率大小排序为: 昼夜温差月均值(57.8%) >最暖季度平均气温(41.5%) >年平均气温变化范围(38.3%) >最干季度降水量(23.1%) >最冷季度平均气温(16.9%) >降水量变异系数(13.7%) =最湿季度降水量(13.7%) >干旱指数(3.0%)。因此, 昼夜温差月均值、最暖季度平均气温、年平均气温变化范围3个气候因子是影响中国宽瓣亚属植物分布的主导气候因子。     

基于MaxEnt优化模型的闽楠潜在适宜分布预测

闽楠是我国二级保护珍稀濒危植物，不仅是珍贵用材树种，还具有重要的生态价值，预测其潜在适生区变化具有重要意义。采用Enmeval优化包调用MaxEnt模型建立最优模型。基于186条分布记录和9个环境变量模拟闽楠现代2050和2090年代的6个气候情景潜在分布区。综合Jackknife检验、置换重要值和贡献率、多元相似度面和最不相似变量，探讨影响闽楠适生分布区的环境因子，并分析空间变换格局。结果表明：（1）最优模型的参数为：FC=PT，RM=0.5，Maxnnt模型的预测准确度极高，AUC=0.9846±0.0037，现代闽楠潜在适生区的面积为54.32×10⁴km²，闽楠现代高度适生区集中分布在湖南南部和广西东北部；（2）在未来6种气候变化情景下，闽楠潜在适生分布区均有向北扩张的趋势，除2050s-SSP585外，其余情景适生区面积均增加较小，特别是情景2090s-SSP126下，高度适生区将减少40.32%；（3）最干月降水量（bio14）、降水季节性变化（bio15）、最冷月最低温（bio6）、最暖季降水量（bio18）和最暖月最高气温（bio5）是制约闽楠分布格局的主要环境因子；（4）闽楠各个时期的地理分布范围差别较大，说明闽楠对气候变化抗逆性较差，滥砍滥伐、生境破坏和自身繁育问题可能是致濒的重要原因，福建、江西、湖南和广西东北部是闽楠的稳定适生区和未来气候避难区，台湾中部、福建、江西、湖南、湖北西南部和浙南为理想的闽楠人工林引种区，随着气候变暖的日益加剧，粤桂黔三省（区）丧失区面积比较大，并建议对粤桂黔群体进行优先保护。     

气候变化对柴胡与狭叶柴胡适生分布的影响

研究气候变化下物种适生区的分布格局与变迁,对于物种的保护和资源的可持续利用具有重要的理论和实践意义。选取柴胡（Bupleurum chinense）与狭叶柴胡（Bupleurum scorzonerifolium）在中国地域内的381个有效分布点和36个环境因子,利用MaxEnt模型模拟当前以及未来（2050和2070年）两种气候情景下（RCP4.5和RCP8.5）其适生区的分布格局,并分析了制约其适生区分布的主导环境因子。结果表明：（1）影响柴胡适生区分布的主导环境因子为最湿月份降水量、最干季度平均温度以及海拔。影响狭叶柴胡适生区分布的主导环境因子为最湿月份降水量、温度季节性变化标准差以及海拔;（2）当前气候条件下,柴胡适生区总面积为1.4755×10⁶km²,约占我国国土面积的15.37%,中、高度适生区主要分布在陕西南部、山西东部、甘肃东南部、山东中部、河北中西部等地;狭叶柴胡适生区总面积为1.8034×10⁶km²,约占我国国土面积的18.78%,中、高度适生区主要分布在黑龙江西部和东部、内蒙古中部和东北部、河北北部、陕西中部等地。（3）未来气候背景下,两种柴胡总适生区面积呈现增加趋势。柴胡适生区分布质心向东北方向的高纬度地区迁移,狭叶柴胡适生区分布质心向西部方向的高海拔地区迁移。     

Detection of <Emphasis Type="Italic">Diaphorina citri</Emphasis> Kuwayama (Hemiptera: Liviidae) in Kenya and potential implication for the spread of Huanglongbing disease in East Africa

The Asian citrus psyllid Diaphorina citri Kuwayama (Hemiptera: Liviidae) is a damaging pest of citrus globally and has recently been detected in Tanzania. Although direct damage by the pest is seldom of economic importance, the insect is more notorious for its ability to vector the fastidious phloem-limited bacterium Candidatus Liberibacter asiaticus (CLas), the putative causal bacterium of Huanglongbing or Asian citrus greening disease. For many years, Trioza erytreae (Del Guercio) (Hemiptera: Triozidae) was known to be the main vector of the African citrus greening disease caused by Candidatus Liberibacter africanus (CLaf), but the recent arrival of D. citri on the continent adds to the dynamics of infection and spread of both diseases on mainland Africa. Following the recent report of the presence of D. citri in Tanzania, an additional delimiting survey was carried out in the region, focusing on Kenya, mainland Tanzania and Zanzibar to detect the presence and ascertain the extent of spread of D. citri. We employed molecular tools based on the use of DNA barcoding to confirm the identity of D. citri. In addition to D. citri, the occurrence of T. erytreae in the same sampling locations is also reported. Adults and nymphs of either D. citri or T. erytreae were collected from citrus at many of the surveyed sites ranging from 19 to 668 m above sea level (masl) in Tanzania, 20–1666 masl in Kenya, and 42–48 masl in Zanzibar. Diaphorina citri was sympatric with T. erytreae at the mid to higher elevations of 1375–1666 masl and no T. erytreae or its open-gall symptoms were detected below 523 masl. Sequences obtained were queried via BLAST and all linked to D. citri of different accession numbers already available on GenBank. This is the first report of the presence of D. citri in Kenya and Zanzibar. The potential implication of the detection and spread of the two pathogens, CLaf and CLas to the citrus industry in East Africa and movement of suitable host plants is discussed.     

New mite invasions in citrus in the early years of the 21st century

Several mite species commonly attack cultivated citrus around the world. Up to 104 phytophagous species have been reported causing damage to leaves, buds and fruits, but only a dozen can be considered major pests requiring control measures. In recent years, several species have expanded their geographical range primarily due to the great increase in trade and travel worldwide, representing a threat to agriculture in many countries. Three spider mite species (Acari: Tetranychidae) have recently invaded the citrus-growing areas in the Mediterranean region and Latin America. The Oriental red mite, Eutetranychus orientalis (Klein), presumably from the Near East, was detected in southern Spain in 2001. The Texas citrus mite, Eutetranychus banksi (McGregor), is widely distributed in North, Central and South America. It was first reported in Europe in 1999 on citrus in Portugal; afterwards the mite invaded the citrus orchards in southern Spain. In Latin America, the Hindustan citrus mite, Schizotetranychus hindustanicus (Hirst), previously known only from citrus and other host plants in India, was reported causing significant damage to citrus leaves and fruits in Zulia, northwest Venezuela, in the late 1990s. Later, this mite species spread to the southeast being detected on lemon trees in the state of Roraima in northern Brazil in 2008. Whereas damage levels, population dynamics and control measures are relatively well know in the case of Oriental red mite and Texas citrus mite, our knowledge of S. hindustanicus is noticeably scant. In the present paper, information on pest status, seasonal trends and natural enemies in invaded areas is provided for these species, together with morphological data useful for identification. Because invasive species may evolve during the invasion process, comparison of behavior, damage and management options between native and invaded areas for these species will be useful for understanding the invader’s success and their ability to colonize new regions.