Predation and competition drive trait diversity across space and time

被引:1
|
作者
Neale, Zoey [1 ]
Rudolf, Volker H. W. [1 ]
机构
[1] Rice Univ, Grad Program Ecol & Evolutionary Biol, Biosci, Houston, TX 77005 USA
基金
美国国家科学基金会;
关键词
aquatic; beta diversity; functional diversity; meta-community; Odonata; seasonal; spatial; FUNCTIONAL DIVERSITY; STOCHASTIC-PROCESSES; FOOD-WEB; COMMUNITY; COEXISTENCE; CONSEQUENCES; MECHANISMS; SIMILARITY; EXCLUSION; PATTERNS;
D O I
10.1002/ecy.4182
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Competition should play a key role in shaping community assembly and thereby local and regional biodiversity patterns. However, identifying its relative importance and effects in natural communities is challenging because theory suggests that competition can lead to different and even opposing patterns depending on the underlying mechanisms. Here, we have taken a different approach: rather than attempting to indirectly infer competition from diversity patterns, we compared trait diversity patterns in odonate (dragonfly and damselfly) communities across different spatial and temporal scales along a natural competition-predation gradient. At the local scale (within a community), we found that trait diversity increased with the size of top predators (from invertebrates to fish). This relationship is consistent with differences in taxonomic diversity, suggesting that competition reduces local trait diversity through competitive exclusion. Spatial (across communities) and temporal (within communities over time) trait variation peaked in communities with intermediate predators indicating that both high levels of competition or predation select for trait convergence of communities. This indicates that competition acts as a deterministic force that reduces trait diversity at the local, regional, and temporal scales, which contrasts with patterns at the taxonomic level. Overall, results from this natural experiment reveal how competition and predation interact to shape biodiversity patterns in natural communities across spatial and temporal scales and provide new insights into the underlying mechanisms.
引用
收藏
页数:13
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