DOI: 10.1111/ele.12672
Scopus记录号: 2-s2.0-84992474596
论文题名: How to quantify the temporal storage effect using simulations instead of math
作者: Ellner S.P. ; Snyder R.E. ; Adler P.B.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2016
卷: 19, 期: 11 起始页码: 1333
结束页码: 1342
语种: 英语
英文关键词: Coexistence
; competition
; environmental variability
; integral projection model
; storage effect
; structured population model
Scopus关键词: algae
; Artemisia tridentata
; biodiversity
; biological model
; computer simulation
; diatom
; periodicity
; physiology
; time factor
; Biodiversity
; Computer Simulation
; Diatoms
; Models, Biological
; Periodicity
; Time Factors
英文摘要: The storage effect has become a core concept in community ecology, explaining how environmental fluctuations can promote coexistence and maintain biodiversity. However, limitations of existing theory have hindered empirical applications: the need for detailed mathematical analysis whenever the study system requires a new model, and restricted theory for structured populations. We present a new approach that overcomes both these limitations. We show how temporal storage effect can be quantified by Monte Carlo simulations in a wide range of models for competing species. We use the lottery model and a generic integral projection model (IPM) to introduce ideas, and present two empirical applications: (1) algal species in a chemostat with variable temperature, showing that the storage effect can operate without a long-lived life stage and (2) a sagebrush steppe community IPM. Our results highlight the need for careful modelling of nonlinearities so that conclusions are not driven by unrecognised model constraints. © 2016 John Wiley & Sons Ltd/CNRS Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107704
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, United States; Department of Biology, Case Western Reserve University, Cleveland, OH, United States; Department of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, United States
Recommended Citation:
Ellner S.P.,Snyder R.E.,Adler P.B.. How to quantify the temporal storage effect using simulations instead of math[J]. Ecology Letters,2016-01-01,19(11)