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茶园重要捕食性天敌白斑猎蛛在中国的潜在适生区预测
引用本文:姜明鑫,钟文玉,陈李林.茶园重要捕食性天敌白斑猎蛛在中国的潜在适生区预测[J].生态学报,2022,42(10):4225-4235.
作者姓名:姜明鑫  钟文玉  陈李林
作者单位:福建农林大学安溪茶学院,泉州 362406;闽台作物有害生物生态防控国家重点实验室,福建农林大学植物保护学院,福州 350002;安溪县女茶师非遗传习所科技特派员工作站, 泉州 362406
基金项目:福建省创新战略研究计划项目(2020R0036);国家自然科学基金项目(31501650);福建农林大学科技创新专项基金(CXZX2019009G);福建农林大学茶产业链科技创新与服务体系建设项目(K1520005A03)
摘    要:白斑猎蛛是茶园重要的捕食性天敌,对茶园害虫生物防治起着重要作用。研究白斑猎蛛的潜在分布范围以及气候变暖对其分布潜在的影响,对保护和利用白斑猎蛛,充分发挥其对茶园害虫的生态调控作用具有重要意义。基于白斑猎蛛当前在中国的163个分布点和6个环境变量,利用MaxEnt模型预测当前及未来(2050年)2种气候情景(SSP2_4.5、SSP5_8.5)下白斑猎蛛在中国的潜在适生区。结果显示,MaxEnt模型对白斑猎蛛潜在适生区分布预测具有较好的准确度,平均受试者工作特征曲线下面积(AUC)值为0.852;测试样本遗漏率与预测遗漏率基本吻合,模型构建效果很好。白斑猎蛛在中国大部分省份均有分布,当前适宜分布区总面积约为429.93万km~2,占国土总面积的44.78%;高适生区主要分布在山东、河南、江苏、安徽、湖北、重庆、浙江、江西、湖南、贵州、福建。未来气候情景下,白斑猎蛛潜在适生区面积呈扩大趋势,主要体现在新疆、吉林、辽宁、内蒙古、陕西、广东、广西、海南的适生区范围扩张。在SSP5_8.5气候情景下,总适生区面积变化最大,由当前的429.93万km~2增加到562.22万km~2,增幅达30.7...

关 键 词:蜘蛛  生物防治  最大熵模型  潜在分布区
收稿时间:2021/7/2 0:00:00
修稿时间:2021/12/8 0:00:00

Prediction of potential geographical distribution of predatory enemy Evarcha albaria in tea plantations in China
JIANG Mingxin,ZHONG Wenyu,CHEN Lilin.Prediction of potential geographical distribution of predatory enemy Evarcha albaria in tea plantations in China[J].Acta Ecologica Sinica,2022,42(10):4225-4235.
Authors:JIANG Mingxin  ZHONG Wenyu  CHEN Lilin
Institution:Anxi Tea College, Fujian Agriculture and Forestry University, Quanzhou 362406, China;State Key Laboratory of Ecological Pest Control in Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China;Anxi County Female Tea Master Intangible Cultural Heritage Institute Science and Technology Commissioner Workstation, Quanzhou 362406, China
Abstract:Evarcha albaria (L. Koch) is an important predatory enemy in tea plantations, which plays an important role in biological control of pests in tea plantations. To study the potential distribution range of the E. albaria and the potential impact of climate warming on its distribution is of great significance for protecting and utilizing the E. albaria and giving full play to its ecological regulation on pests in tea plantations. In this study, based on the current 163 distribution sites and 6 environmental variables in China, the maximum entropy model (MaxEnt) was used to predict the potential distribution regions of the E. albaria in current and future (2050) under two climate scenarios (SSP2_4.5 and SSP5_8.5) in China. The results showed that the MaxEnt model had a good accuracy in predicting the distribution of potential suitable regions of the E. albaria, and the average area under the receiver operating characteristic curve (AUC) value was 0.852; The missing rate of test samples was basically consistent with the predicted missing rate, and the model construction effect was very good. The suitable distribution regions of the E. albaria were about 4.2993 million km2, accounting for 44.78% of the total area of China. The high suitable regions were mainly distributed in Shandong, Henan, Jiangsu, Anhui, Hubei, Chongqing, Zhejiang, Jiangxi, Hunan, Guizhou, and Fujian in current. Under the future climate scenarios, the potential suitable regions of the E. albaria were expanding, mainly in Xinjiang, Jilin, Liaoning, Inner Mongolia, Shaanxi, Guangdong, Guangxi, and Hainan. Under the SSP5_8.5 climate scenario, the total suitable regions changed the most, from the current 4.2993 million km2 to 5.6222 million km2, an increase of 30.77%. Under the two future climate scenarios, the potential suitable distribution regions of the E. albaria will expand and move northward in varying degrees compared with the current. The main environmental variables affecting the potential distribution of the E. albaria were the lowest temperature in the coldest month (bio6), the precipitation in the wettest month (bio13), the precipitation in the driest month (bio14), and the average temperature in the warmest season (bio10), which calculated by Jackknife method. The E. albaria is widely distributed in most regions of China, and the future climate conditions are conducive to its survival and reproduction. In order to ensure the safe and high-quality production of tea and the sustainable development of tea industry, it is necessary to strengthen the protection and utilization of the E. albaria, fully exploit and play its biological control, and reduce the use of chemical pesticides in tea plantations.
Keywords:spider  biological control  maximum entropy model  potential geographical distribution
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