Towards a mechanistic understanding of variation in aquatic food chain length

Author:

Guo Guanming1,Barabás György23ORCID,Takimoto Gaku4ORCID,Bearup Daniel5,Fagan William F.6,Chen Dongdong7,Liao Jinbao18ORCID

Affiliation:

1. Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment Jiangxi Normal University Nanchang China

2. Division of Theoretical Biology, Department IFM Linköping University Linköping Sweden

3. Institute of Evolution, Centre for Ecological Research Budapest Hungary

4. Graduate School of Agricultural and Life Sciences The University of Tokyo Tokyo Japan

5. School of Mathematics, Statistics and Actuarial Sciences University of Kent, Parkwood Road Canterbury UK

6. Department of Biology University of Maryland College Park Maryland USA

7. CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China

8. Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science Yunnan University Kunming China

Abstract

AbstractEcologists have long sought to understand variation in food chain length (FCL) among natural ecosystems. Various drivers of FCL, including ecosystem size, resource productivity and disturbance, have been hypothesised. However, when results are aggregated across existing empirical studies from aquatic ecosystems, we observe mixed FCL responses to these drivers. To understand this variability, we develop a unified competition‐colonisation framework for complex food webs incorporating all of these drivers. With competition‐colonisation tradeoffs among basal species, our model predicts that increasing ecosystem size generally results in a monotonic increase in FCL, while FCL displays non‐linear, oscillatory responses to resource productivity or disturbance in large ecosystems featuring little disturbance or high productivity. Interestingly, such complex responses mirror patterns in empirical data. Therefore, this study offers a novel mechanistic explanation for observed variations in aquatic FCL driven by multiple environmental factors.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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