Belowground top-down and aboveground bottom-up effects structure multitrophic community relationships in a biodiverse forest
Andreas Schuldt, Helge Bruelheide, François Buscot, Thorsten Aßmann, Alexandra Erfmeier, Alexandra‐Maria Klein, Keping Ma, Thomas Scholten 等 12 位
Leuphana University of Lüneburg German Centre for Integrative Biodiversity Research Martin Luther University Halle-Wittenberg Helmholtz Centre for Environmental Research
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Ecosystem functioning and human well-being critically depend on numerous species interactions above- and belowground. However, unraveling the structure of multitrophic interaction webs at the ecosystem level is challenging for biodiverse ecosystems. Attempts to identify major relationships between trophic levels usually rely on simplified proxies, such as species diversity. Here, we propose to consider the full information on species composition across trophic levels, using Procrustes correlation and structural equation models. We show that species composition data of a highly diverse subtropical forest-with 5,716 taxa across 25 trophic groups- reveal strong interrelationships among plants, arthropods, and microorganisms, indicating complex multitrophic interactions. We found substantial support for top-down effects of microorganisms belowground, indicating important feedbacks of microbial symbionts, pathogens, and decomposers on plant communities. In contrast, aboveground pathways were characterized by bottom-up control of plants on arthropods, including many non-trophic links. Additional analyses based on diversity patterns revealed much weaker interrelationships. Our study suggests that multitrophic communities in our forest system are structured via top-down effects of belowground biota on plants, which in turn affect aboveground arthropod communities across trophic levels. Moreover, the study shows that the consequences of species loss will be more complex than indicated by studies based solely on diversity.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Plant and animal studies
Ecology and Vegetation Dynamics Studies · Species Distribution and Climate Change
参考文献 69
此处列出前 3 条
引用本文 53
按被引量排序,此处列出前 3 条