Functional redundancy and stability in plant communities

被引:180
|
作者
Pillar, Valerio D. [1 ]
Blanco, Carolina C. [1 ]
Mueller, Sandra C. [1 ]
Sosinski, Enio E. [1 ]
Joner, Fernando [1 ]
Duarte, Leandro D. S. [1 ]
机构
[1] Univ Fed Rio Grande do Sul, Dept Ecol, BR-91540000 Porto Alegre, RS, Brazil
关键词
Causal models; Community resilience; Disturbance; Functional diversity; Functional traits; Grazing intensity; Path analysis; Species diversity; LAND-USE INTENSIFICATION; DISSIMILARITY COEFFICIENTS; RESPONSE DIVERSITY; TRAIT-CONVERGENCE; ASSEMBLY PATTERNS; BIODIVERSITY; RESILIENCE; VARIABILITY; ENVIRONMENT; DIVERGENCE;
D O I
10.1111/jvs.12047
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Questions Functional redundancy in assemblages may insure ecosystem processes after perturbation, potentially causing temporary or permanent local species extinctions. Yet, functional redundancy has only been inferred by indirect evidence or measured by methods that may not be the most appropriate. Here, we apply an existing method to measure functional redundancy, which is the fraction of species diversity not expressed by functional diversity, to assess whether functional redundancy affects community resilience after disturbance. Location Subtropical grassland, south Brazil (30 degrees 0546S, 51 degrees 4037W). Method: Species traits and community composition were assessed in quadrats before grazing and after community recovery. Grazing intensity (G) was measured in each quadrat. We used traits linked to grazing intensity to define functional redundancy (FR) as the difference of Gini-Simpson index of species diversity (D) and Rao's quadratic entropy (Q). Also, with the same traits, we defined community functional stability (S) as the similarity between trait-based community composition before grazing and 47 and 180 d after grazing ending. Using path analysis we assessed different postulated causal models linking functional diversity (Q), functional redundancy (FR), grazing intensity (G) and community-weightedmean traits to community stability (S) under grazing. Results: Path analysis revealed the most valid causal model FR -> S <- G, with a significant positive path coefficient for FR -> S and a marginally significant negative one for S <- G. Since FR and G were independent in their covariation and in their effects on S, the model discriminated community resistance to grazing (the effect of G on S) from community resilience after grazing caused by functional redundancy (indicated by the effect of FR on S). Conclusion: We show that expressing functional redundancymathematically is a useful tool for testing causal models linking diversity to community stability. The results support the conclusion that functional redundancy enhanced community resilience, therefore corroborating the insurance hypothesis.
引用
收藏
页码:963 / 974
页数:12
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