Biodiversity and ecosystem function: making sense of numerous species interactions in multi-species communities

被引:34
作者
Brophy, Caroline [1 ]
Dooley, Aine [1 ]
Kirwan, Laura [2 ]
Finn, John A. [3 ]
McDonnell, Jack [1 ,4 ]
Bell, Thomas [5 ]
Cadotte, Marc W. [6 ]
Connolly, John [7 ]
机构
[1] Maynooth Univ, Dept Stat, Maynooth, Kildare, Ireland
[2] Univ Coll Dublin, UCD Sch Agr & Food Sci, Dublin 4, Ireland
[3] TEAGASC, Environm Res Ctr, Johnstown Castle, Ireland
[4] Anim & Grassland Res & innovat Ctr, Fermoy, Cork, Ireland
[5] Imperial Coll London, Dept Life Sci, Silwood Pk Campus,Buckhurst Rd, Ascot SL5 7PY, Berks, England
[6] Univ Toronto Scarborough, Dept Biol Sci, 1265 Mil Trail, Toronto, ON M1C 1A4, Canada
[7] Univ Coll Dublin, Sch Math & Stat, Ecol & Environm Modelling Grp, Dublin 4, Ireland
基金
爱尔兰科学基金会;
关键词
biodiversity and ecosystem function relationship; community structure; Diversity-Interactions model; evenness; mixed model; random diversity effects; random effects; richness; species interactions; species rich; variability; variance components; DIVERSITY; MODEL; GRASSLANDS; RICHNESS; EVENNESS; SCALE;
D O I
10.1002/ecy.1872
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Understanding the biodiversity and ecosystem function relationship can be challenging in species-rich ecosystems. Traditionally, species richness has been relied on heavily to explain changes in ecosystem function across diversity gradients. Diversity-Interactions models can test how ecosystem function is affected by species identity, species interactions, and evenness, in addition to richness. However, in a species-rich system, there may be too many species interactions to allow estimation of each coefficient, and if all interaction coefficients are estimable, they may be devoid of any sensible biological meaning. Parsimonious descriptions using constraints among interaction coefficients have been developed but important variability may still remain unexplained. Here, we extend Diversity-Interactions models to describe the effects of diversity on ecosystem function using a combination of fixed coefficients and random effects. Our approach provides improved standard errors for testing fixed coefficients and incorporates lack-of-fit tests for diversity effects. We illustrate our methods using data from a grassland and a microbial experiment. Our framework considerably reduces the complexities associated with understanding how species interactions contribute to ecosystem function in species-rich ecosystems.
引用
收藏
页码:1771 / 1778
页数:8
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