...
首页> 外文期刊>Bulletin of Entomological Research >Construction of a GeogDetector-based model system to indicate the potential occurrence of grasshoppers in Inner Mongolia steppe habitats
【24h】

Construction of a GeogDetector-based model system to indicate the potential occurrence of grasshoppers in Inner Mongolia steppe habitats

机译:建立基于GeogDetector的模型系统以指示内蒙古草原生境中蝗虫的潜在发生

获取原文
获取原文并翻译 | 示例
           

摘要

Grasshopper plagues have seriously disturbed grassland ecosystems in Inner Mongolia, China. The accurate prediction of grasshopper infestations and control of grasshopper plagues have become urgent needs. We sampled 234, 342, 335, and 369 plots in Xianghuangqi County of Xilingol League in 2010, 2011, 2012, and 2013, respectively, and measured the density of the most dominant grasshopper species, Oedaleus decorus asiaticus, and the latitude, longitude, and associated relatively stable habitat factors at each plot. We used Excel-GeogDetector software to explore the effects of individual habitat factors and the two-factor interactions on grasshopper density. We estimated the membership of each grasshopper density rank and determined the weights of each habitat category. These results were used to construct a model system evaluating grasshopper habitat suitability. The results showed that our evaluation system was reliable and the fuzzy evaluation scores of grasshopper habitat suitability were good indicators of potential occurrence of grasshoppers. The effects of the two-factor interactions on grasshopper density were greater than the effects of any individual factors. O. d. asiaticus was most likely to be found at elevations of 1300-1400 m, flat terrain or slopes of 4-6 degrees, typical chestnut soil with 70-80% sand content in the top 5 cm of soil, and medium-coverage grassland. The species preferred temperate bunchgrass steppe dominated by Stipa krylovii and Cleistogenes squarrosa. These findings may be used to improve models to predict grasshopper occurrence and to develop management guidelines to control grasshopper plagues by changing habitats.
机译:蚱pl瘟疫严重干扰了中国内蒙古的草地生态系统。准确预测蝗虫侵袭和控制蝗灾已成为当务之急。我们分别在2010年,2011年,2012年和2013年在锡林郭勒盟向黄旗县采样了234个,342个,335个和369个样地,并测量了最主要的蚱hopper物种Oedaleus decorus asiaticus的密度以及纬度,经度,以及每个地块的相对稳定的栖息地因素。我们使用Excel-GeogDetector软件探索了单个栖息地因素和两因素相互作用对蝗虫密度的影响。我们估计了每个蝗虫密度等级的成员,并确定了每个栖息地类别的权重。这些结果被用于构建评估蝗虫栖息地适宜性的模型系统。结果表明,我们的评价体系是可靠的,蝗虫生境适应性的模糊评价得分是潜在的蝗虫发生的良好指标。两因素相互作用对蚱density密度的影响大于任何单个因素的影响。 d。积雪最有可能出现在海拔1300-1400 m,平坦的地形或4-6度的坡度,典型的栗子土壤中,其顶部5 cm的土壤含沙量为70-80%,以及中覆盖草地。该物种首选温带束草草原,其中以针茅和毛隐花藓为主导。这些发现可用于改进模型以预测蝗虫的发生,并制定管理指南以通过改变栖息地来控制蝗灾。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号