生态学
生物
相对物种丰度
丰度(生态学)
生物群
食草动物
生态系统
植物群落
森林生态学
通才与专种
栖息地
物种丰富度
作者
Scott A. Mangan,Stefan A. Schnitzer,Edward Allen Herre,Keenan M. L. Mack,Mariana C. Valencia,Evelyn Sanchez,James D. Bever
出处
期刊:Nature
[Springer Nature]
日期:2010-06-25
卷期号:466 (7307): 752-755
被引量:921
摘要
The accumulation of species-specific enemies around adults is hypothesized to maintain plant diversity by limiting the recruitment of conspecific seedlings relative to heterospecific seedlings. Although previous studies in forested ecosystems have documented patterns consistent with the process of negative feedback, these studies are unable to address which classes of enemies (for example, pathogens, invertebrates, mammals) exhibit species-specific effects strong enough to generate negative feedback, and whether negative feedback at the level of the individual tree is sufficient to influence community-wide forest composition. Here we use fully reciprocal shade-house and field experiments to test whether the performance of conspecific tree seedlings (relative to heterospecific seedlings) is reduced when grown in the presence of enemies associated with adult trees. Both experiments provide strong evidence for negative plant-soil feedback mediated by soil biota. In contrast, above-ground enemies (mammals, foliar herbivores and foliar pathogens) contributed little to negative feedback observed in the field. In both experiments, we found that tree species that showed stronger negative feedback were less common as adults in the forest community, indicating that susceptibility to soil biota may determine species relative abundance in these tropical forests. Finally, our simulation models confirm that the strength of local negative feedback that we measured is sufficient to produce the observed community-wide patterns in tree-species relative abundance. Our findings indicate that plant-soil feedback is an important mechanism that can maintain species diversity and explain patterns of tree-species relative abundance in tropical forests.
科研通智能强力驱动
Strongly Powered by AbleSci AI