Global assessment of seasonal potential distribution of Mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae).

Global assessment of seasonal potential distribution of Mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae).
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DOI:
10.1371/journal.pone.0111582
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Tatem AJ
Tatem AJ
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Szyniszewska AM;Tatem AJ

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地中海实蝇(Medfly)是世界上最具经济破坏性的害虫之一。它显示出高度季节性的种群动态,在大多数地方,适合其丰度的环境条件并非全年不变。进行了广泛的文献检索,以获得关于全球害虫历史和当代时空发生的最全面数据。该数据库包含来自43个国家和近500个独特地点的2328个独特的地理定位条目,以及关于宿主,生活阶段和捕获方法的信息。其中,125个地方有记录地中海果蝇月份的信息,这些数据得到了在线综合数据库中发现的额外材料的补充。从1980年至今的记录被用于地中海果蝇环境生态位建模。最大熵算法(MaxEnt)和一组随季节变化的环境协变量被用来预测的基本生态位的地中海实蝇在全球范围内。还制作了三个季节图:1月至4月、5月至8月和9月至12月。模型的表现显着优于随机实现高精度分数,表明一个很好的歧视,适合与不适合的地区存在的物种。
The Mediterranean fruit fly (Medfly) is one of the world's most economically damaging pests. It displays highly seasonal population dynamics, and the environmental conditions suitable for its abundance are not constant throughout the year in most places. An extensive literature search was performed to obtain the most comprehensive data on the historical and contemporary spatio-temporal occurrence of the pest globally. The database constructed contained 2328 unique geo-located entries on Medfly detection sites from 43 countries and nearly 500 unique localities, as well as information on hosts, life stages and capture method. Of these, 125 localities had information on the month when Medfly was recorded and these data were complemented by additional material found in comprehensive databases available online. Records from 1980 until present were used for medfly environmental niche modeling. Maximum Entropy Algorithm (MaxEnt) and a set of seasonally varying environmental covariates were used to predict the fundamental niche of the Medfly on a global scale. Three seasonal maps were also produced: January-April, May-August and September-December. Models performed significantly better than random achieving high accuracy scores, indicating a good discrimination of suitable versus unsuitable areas for the presence of the species.
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