利用植物物种生态位模型优化养蜂场布局

IF 0.7 4区 农林科学 Q4 ENTOMOLOGY
Yareli J. Cadena Rodríguez, M. Vázquez-Sánchez, G. Cruz-Cárdenas, J. Villaseñor
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引用次数: 4

摘要

摘要养蜂场必须位于植物区系丰富的地区,因为它们是意大利蜜蜂的营养基地。菊科是墨西哥最多样化的植物科之一,其中几个物种引起了养蜂人的兴趣。本研究的目的是利用墨西哥米却肯州两个流域一些对蜜蜂很重要的菊科物种的生态位模型(ENM),确定养蜂场的最佳位置。通过记录30个物种的存在、20个非生物变量和一个生物变量获得了它们的ENM,并绘制了物种丰富度图,以确定哪些地点在环境上适合养蜂。使用AUC_Max、partial_ROC和二项式检验对模型进行统计评估,并在现场进行了验证。前两个测试的模型的值为0.70:1,二项式测试的模型值为1。地图显示了六个物种最丰富的适宜区域。通过在预测区域内发现30个模拟物种中的22个,该领域的确证证明了ENM的有效性。我们的研究结果支持ENM是一个很好的策略,可以预测养蜂重要物种的理想栖息地,从而确定该地区建立养蜂场的最佳地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Ecological Niche Models of Plant Species to Optimize Placement of Apiaries
Abstract Apiaries must be located in areas with abundant flora as they are the nutritional base for Apis mellifera. Asteraceae is one of the most diverse plant families in Mexico and several of its species are of interest for beekeepers. The objective of this study was to determine the best sites for the placement of apiaries with the use of ecological niche models (ENM) of some Asteraceae species important for bees in two basins of the state of Michoacán, Mexico. ENM for thirty species were obtained through records of their presence, twenty abiotic variables and one biotic variable, and a map of species richness was made to determine which sites would be environmentally appropriate for apiaries. The models were statistically evaluated using the AUC_Maxent, partial_ROC and the binomial tests and were verified in the field. The first two tests’ models had values of 0.70 to 1 and the binomial test’s models had values of 1. The map showed six suitable areas with the greatest richness of species. The corroboration in the field proved ENM effective by finding twenty-two of the thirty modeled species inside the predicted areas. Our results support that ENM are a good strategy to predict the ideal habitat for species important for beekeeping, and thus determine the best places to establish apiaries in the region.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
9
审稿时长
>12 weeks
期刊介绍: The Journal of Apicultural Science is a scientific, English-language journal that publishes both original research articles and review papers covering all aspects of the life of bees (superfamily Apoidea) and broadly defined apiculture. The main subject areas include: -bee biology- bee genetics- bee breeding- pathology and toxicology- pollination and bee botany- bee products- management, technologies, and economy- solitary bees and bumblebees
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