• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nature >Disentangling nestedness from models of ecological complexity
【24h】

Disentangling nestedness from models of ecological complexity

机译：从生态复杂度模型中解开嵌套

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Complex networks of interactions are ubiquitous and are particularly important in ecological communities, in which large numbers of species exhibit negative (for example, competition or predation) and positive (for example, mutualism) interactions with one another. Nestedness in mutualistic ecological networks is the tendency for ecological specialists to interact with a subset of species that also interact with more generalist species. Recent mathematical and computational analysis has suggested that such nestedness increases species richness. By examining previous results and applying computational approaches to 59 empirical data sets representing mutualistic plant-pollinator networks, we show that this statement is incorrect. A simpler metric-the number of mutualistic partners a species has-is a much better predictor of individual species survival and hence, community persistence. Nestedness is, at best, a secondary covariate rather than a causative factor for biodiversity in mutualistic communities. Analysis of complex networks should be accompanied by analysis of simpler, underpinning mechanisms that drive multiple higher-order network properties.
机译：复杂的相互作用网络无处不在，在生态群落中尤为重要，在生态群落中，大量物种相互之间表现出负面（例如竞争或掠夺）和正面（例如互惠）相互作用。互惠生态网络中的嵌套性是生态学专家与一部分物种相互作用的趋势，这些物种也与更广泛的物种相互作用。最近的数学和计算分析表明，这种嵌套增加了物种的丰富度。通过检查先前的结果并将计算方法应用于代表互惠植物授粉网络的59个经验数据集，我们表明该说法是错误的。一个更简单的度量标准（一个物种拥有的互惠伴侣的数量）可以更好地预测单个物种的生存，从而更好地预测社区的持久性。嵌套充其量是互助社区中生物多样性的次要协变量，而不是原因。在分析复杂网络时，应同时分析驱动多个高阶网络属性的更简单的基础机制。

著录项

  • 来源
    《Nature》 |2012年第7406期|p.227-230|共4页
  • 作者

    Alex James; Jonathan W. Pitchford; Michael J. Plank;

  • 作者单位

    Biomathematics Research Centre, University of Canterbury, Private Bag 4800, Christchurch 8040, New Zealand;

    York Centre for Complex Systems Analysis, and Departments of Biology and Mathematics, University of York, Heslington, York Y010 5DD, United Kingdom;

    Biomathematics Research Centre, University of Canterbury, Private Bag 4800, Christchurch 8040, New Zealand;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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