气候变化领域集成服务门户(CCPortal): Reconciling empirical interactions and species coexistence

CCPortal

DOI	10.1111/ele.13256
	Reconciling empirical interactions and species coexistence
	Maynard D.S.; Wootton J.T.; Serván C.A.; Allesina S.
发表日期	2019
ISSN	1461023X
卷号	22 期号:6
英文摘要	Coexistence in ecological communities is governed largely by the nature and intensity of species interactions. Countless studies have proposed methods to infer these interactions from empirical data, yet models parameterised using such data often fail to recover observed coexistence patterns. Here, we propose a method to reconcile empirical parameterisations of community dynamics with species-abundance data, ensuring that the predicted equilibrium is consistent with the observed abundance distribution. To illustrate the approach, we explore two case studies: an experimental freshwater algal community and a long-term time series of displacement in an intertidal community. We demonstrate how our method helps recover observed coexistence patterns, capture the core dynamics of the system, and, in the latter case, predict the impacts of experimental extinctions. Collectively, these results demonstrate an intuitive approach for reconciling observed and empirical data, improving our ability to explore the links between species interactions and coexistence in natural systems. © 2019 John Wiley & Sons Ltd/CNRS
英文关键词	coexistence; dynamical modelling; Lotka–Volterra equation; quadratic programming; replicator equation; species abundance; species interactions
语种	英语
scopus关键词	abundance estimation; algal community; coexistence; community dynamics; empirical analysis; freshwater environment; Lotka-Volterra model; time series analysis; algae; biological model; ecosystem; population dynamics; species difference; Ecosystem; Models, Biological; Population Dynamics; Species Specificity
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/121087
作者单位	Department of Ecology and Evolution, University of Chicago, 1101 E. 57th, Chicago, IL 60637, United States; Northwestern Institute on Complex Systems, Northwestern University, 600 Foster Street, Evanston, IL 60208, United States
推荐引用方式 GB/T 7714	Maynard D.S.,Wootton J.T.,Serván C.A.,et al. Reconciling empirical interactions and species coexistence[J],2019,22(6).
APA	Maynard D.S.,Wootton J.T.,Serván C.A.,&Allesina S..(2019).Reconciling empirical interactions and species coexistence.Ecology Letters,22(6).
MLA	Maynard D.S.,et al."Reconciling empirical interactions and species coexistence".Ecology Letters 22.6(2019).