Coexistence in spatiotemporally fluctuating environments

被引:6
作者
Johnson, Evan C. C. [1 ]
Hastings, Alan [1 ]
机构
[1] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA
关键词
Modern Coexistence Theory; Coexistence; Spatiotemporal; Environmental variation; Storage effect; Relative nonlinearity; FREQUENCY-DEPENDENT PREDATION; STATIONARY DISTRIBUTIONS; VARIABLE ENVIRONMENTS; POPULATION-DYNAMICS; SPECIES COEXISTENCE; RELATIVE IMPORTANCE; VARIABILITY; COMPETITION; MECHANISMS; COMMUNITIES;
D O I
10.1007/s12080-022-00549-7
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecologists have put forward many explanations for coexistence, but these are only partial explanations; nature is complex, so it is reasonable to assume that in any given ecological community, multiple mechanisms of coexistence are operating at the same time. Here, we present a methodology for quantifying the relative importance of different explanations for coexistence, based on an extension of the Modern Coexistence Theory. Current versions of Modern Coexistence Theory only allow for the analysis of communities that are affected by spatial or temporal environmental variation, but not both. We show how to analyze communities with spatiotemporal fluctuations, how to parse the importance of spatial variation and temporal variation, and how to measure everything with either mathematical expressions or simulation experiments. Our extension of Modern Coexistence Theory shows that many more species can coexist than originally thought. More importantly, it allows empiricists to use realistic models and more data to better infer the mechanisms of coexistence in real communities.
引用
收藏
页码:59 / 92
页数:34
相关论文
共 145 条
[51]   Quasi stationary distributions and Fleming-Viot processes in countable spaces [J].
Ferrari, Pablo A. ;
Maric, Nevena .
ELECTRONIC JOURNAL OF PROBABILITY, 2007, 12 :684-702
[52]  
Ferriere R, 2001, IR01043 INT I APPL S
[53]  
Fox JW, 2000, ECOL LETT, V3, P198
[54]   Robust permanence for ecological differential equations, minimax, and discretizations [J].
Garay, BM ;
Hofbauer, J .
SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2003, 34 (05) :1007-1039
[55]  
Gardiner C.W., 1985, Handbook of stochastic methods, V3
[56]  
Gause GeorgeFrancis., 2003, STRUGGLE EXISTENCE
[57]  
Gelman A., 2020, BAYESIAN WORKFLOW
[58]   What are the Most Important Statistical Ideas of the Past 50 Years? [J].
Gelman, Andrew ;
Vehtari, Aki .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2021, 116 (536) :2087-2097
[59]   GAUSE HYPOTHESIS - AN EXAMINATION [J].
GILBERT, O ;
REYNOLDSON, TB ;
HOBART, J .
JOURNAL OF ANIMAL ECOLOGY, 1952, 21 (02) :310-312
[60]   Independent sampling of a stochastic process [J].
Glynn, P ;
Sigman, K .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1998, 74 (02) :151-164