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Reviews in Fish Biology and Fisheries

, Volume 28, Issue 1, pp 241–259 | Cite as

Ecological role and historical trends of large pelagic predators in a subtropical marine ecosystem of the South Atlantic

  • Hugo Bornatowski
  • Ronaldo Angelini
  • Marta Coll
  • Rodrigo R. P. Barreto
  • Alberto F. Amorim
Research Paper

Abstract

Large pelagic predators occupy high positions in food webs and could control lower trophic level species by direct and indirect ecological interactions. In this study we aimed to test the hypotheses: (1) pelagic predators are keystone species, and their removals could trigger impacts on the food chain; (2) higher landings of pelagic predators could trigger fishing impacts with time leading to a drop in the mean trophic level of catches; and (3) recovery in the pelagic predators populations, especially for sharks, could be achieved with fishing effort reduction. We performed a food web approach using an Ecopath with Ecosim model to represent the Southeastern and Southern Brazil, a subtropical marine ecosystem, in 2001. We then calibrated the baseline model using catch and fishing effort time series from 2001 to 2012. Afterwards, we simulated the impact of fishing effort changes on species and assessed the ecological impacts on the pelagic community from 2012 to 2025. Results showed that the model was well fitted to landing data for the majority of groups. The pelagic predators species were classified as keystone species impacting mainly on pelagic community. The ecosystem was resilient and fisheries seem sustainable at that time. However, the temporal simulation, from 2001 to 2012, revealed declines in the biomass of three sharks, tuna and billfish groups. It was possible observe declines in the mean trophic level of the catch and in the mean total length of landings. Longline fisheries particularly affected the sharks, billfish and swordfish, while hammerhead sharks were mostly impacted by gillnet fishery. Model simulations showed that large sharks’ biomasses could be recovered or maintained only after strong fishing effort reduction.

Keywords

Ecopath with Ecosim Fishing simulations Fishing down food web Istiophoridae Sharks Brazil 

Notes

Acknowledgements

We thank Dr. Jeffrey Muehlbauer for English reviewing, the São Paulo Research Foundation (FAPESP—2013/25930-0) and the Coordination for the Improvement of Higher Education Personnel (CAPES) for scholarships to HB, and the National Counsel of Technological and Scientific Development (CNPq) for a research grant to RB. CAPES supported M. Coll (Proc. PVE A063/2013, Ed.71/2013). Thanks also to Ministry of Agriculture (Brazilian Government) and University of Vale do Itajaí (UNIVALI) for organizing the dataset of the Landing Statistics Program. Two anonymous reviewers contributed to increase quality of this paper.

Supplementary material

11160_2017_9492_MOESM1_ESM.docx (33 kb)
Online Resource 1 List of input data and references used to build the Ecopath model of the southeastern and southern Brazil (SSB) ecosystem. (DOCX 32 kb)
11160_2017_9492_MOESM2_ESM.docx (7.2 mb)
Online Resource 2 Supplementary Tables and Figures. (DOCX 7410 kb)
11160_2017_9492_MOESM3_ESM.xlsx (32 kb)
Online Resource 3 Sections 1 to 3—Section 1: references used to construct the diet composition (DC) matrix; Section 2: original diet composition matrix for the SSB model; Section 3: diet composition matrix adjusted to balance the SSB model. (XLSX 32 kb)
11160_2017_9492_MOESM4_ESM.xlsx (18 kb)
Online Resource 4 Landing data (value in tons); Trophic Level and Maximum Length (cm) used to calculate the Marine Trophic Level Index (MTLI) and the Maximum Total Length (MaxT) for the SSB ecosystem. (XLSX 17 kb)
11160_2017_9492_MOESM5_ESM.xlsx (13 kb)
Online Resource 5 Time series and fishing effort used in model calibration. (XLSX 12 kb)
11160_2017_9492_MOESM6_ESM.xlsx (16 kb)
Online Resource 6 Vulnerabilities after fitting time series. (XLSX 16 kb)

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Hugo Bornatowski
    • 1
  • Ronaldo Angelini
    • 2
  • Marta Coll
    • 3
    • 4
  • Rodrigo R. P. Barreto
    • 5
  • Alberto F. Amorim
    • 6
  1. 1.Centro de Estudos do MarUniversidade Federal do ParanáPontal do ParanáBrazil
  2. 2.Departamento de Engenharia CivilUniversidade Federal do Rio Grande do NorteNatalBrazil
  3. 3.Institute of Marine Science (ICM)Spanish National Research Council (CSIC)BarcelonaSpain
  4. 4.Ecopath International Initiative Research AssociationBarcelonaSpain
  5. 5.Centro de Pesquisa e Conservação da Biodiversidade Marinha do Sudeste e Sul- CEPSULItajaíBrazil
  6. 6.Instituto de PescaSantosBrazil

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