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Towards a mechanistic understanding of variation in aquatic food chain length.
Guo, Guanming; Barabás, György; Takimoto, Gaku; Bearup, Daniel; Fagan, William F; Chen, Dongdong; Liao, Jinbao.
Affiliation
  • Guo G; Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Nanchang, China.
  • Barabás G; Division of Theoretical Biology, Department IFM, Linköping University, Linköping, Sweden.
  • Takimoto G; Institute of Evolution, Centre for Ecological Research, Budapest, Hungary.
  • Bearup D; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Fagan WF; School of Mathematics, Statistics and Actuarial Sciences, University of Kent, Parkwood Road, Canterbury, UK.
  • Chen D; Department of Biology, University of Maryland, College Park, Maryland, USA.
  • Liao J; 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.
Ecol Lett ; 26(11): 1926-1939, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37696523
ABSTRACT
Ecologists 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Food Chain Type of study: Prognostic_studies Language: En Journal: Ecol Lett Year: 2023 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Food Chain Type of study: Prognostic_studies Language: En Journal: Ecol Lett Year: 2023 Type: Article Affiliation country: China