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Community surveys through space and time: testing the space-time interaction in the absence of replication

  • 报告题目:Community surveys through space and time: testing the space-time interaction in the absence of replication
  • 系列:“生态与环境讲坛”系列第 138
  • 报告人:Pierre Legendre教授
  • 时间:5月17日(周二)上午 9:30
  • 地点:环生楼 A239
  • 来访单位:加拿大蒙特利尔大学
  • 邀请人:李庆顺教授、朱旭东副教授
  • 摘要:Ecosystem monitoring requires repeated surveys through time (T). The same spatial (S) sampling design must be used in each survey. The surveys are usually done without small-scale replication through space; this allows the study to maximize spatial coverage. Classical statistics says that in such cases, one cannot test the space-time (S-T) interaction. But that interaction is very interesting, in particular in the framework of climate change: if the spatial structure of the data changes from year to year, it means that the climate has modified the ecosystem in important ways. The signature would be a S-T interaction, which cannot be tested unless replicate observations are available. We found a way to test the S-T interaction in the absence of replication. The method works with multivariate response data (e.g. species assemblages) as well as with a single response variable. The seminar will present the theory underlying this method. Then, results of numerical simulations will be mentioned, showing that the statistical test has correct rates of type I error. Two ecological applications of the method will be discussed.
  • 简介:Pierre Legendre,世界知名生态学家,开创了群落生态学的分支学科—数量生态学(Numerical Ecology)。主要致力于研究生物多样性的生态和生物地理过程,着重在研究多元生态数据的定量分析方法;目前正研究将空间群落生态学中的定量分析方法应用于景观遗传学,特别是遗传Beta多样性。已发表近300篇论文和10本专著,SCI总引次数超过6万次,H-index指数为86,入选2001、2014和2015年ISI Highly Cited Researcher(生态/环境领域).
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