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Species distribution modelling in the Southwestern Atlantic Ocean: A systematic review and trends

Author

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  • Rodrigues, Lucas dos Santos
  • Daudt, Nicholas Winterle
  • Cardoso, Luis Gustavo
  • Kinas, Paul Gerhard
  • Conesa, David
  • Pennino, Maria Grazia

Abstract

Species distribution modelling (SDM) of marine organisms is widely developed for biogeography, ecology and management purposes. However, most studies continue to focus on the Global North, with fewer examples for the Global South. We carried out a bibliometric analysis to characterise aspects of studies conducting SDM for species in the Southwestern Atlantic Ocean (SWAO), focusing on the type of input data, taxonomic groups studied, focus of research, methods applied, and international collaboration between countries. Studies on megafauna and fisheries resources, based on presence-only and scenopoetic input data, applying Maximum Entropy (MaxEnt) and generalized linear/additive models (GLM/GAM) predominate. Models applied to biogeography/current species distribution were the most common, followed by biological invasion. Brazil figures as the most prolific country publishing in SWAO, and has more collaborations with the United States of America, Europe, and South Africa than with its neighbours Uruguay and Argentina, who formed a separate cluster. Research groups based on coauthorship of the 30 most frequent authors seem to be mostly isolated, with only two research groups collaborating to each other. In addition, we fit a Binomial generalised linear model (BGLM) to explore how many predictors (layers) would be sufficient to reach an excellent modelling performance based on Area Under the Curve (AUC) values. The BGLM indicated at least 5–8 layers would be necessary to have a 50 % chance of achieving excellent model performance (AUC ≥ 0.9), but we urge caution regarding this result and briefly discuss it. The literature review was used as a baseline to discuss aspects of our findings and highlight the need to increase SDM application in the SWAO and to strengthen international collaboration between Latin American countries. Finally, we provide recommendations on how researchers could approach some of the gaps we found.

Suggested Citation

  • Rodrigues, Lucas dos Santos & Daudt, Nicholas Winterle & Cardoso, Luis Gustavo & Kinas, Paul Gerhard & Conesa, David & Pennino, Maria Grazia, 2023. "Species distribution modelling in the Southwestern Atlantic Ocean: A systematic review and trends," Ecological Modelling, Elsevier, vol. 486(C).
  • Handle: RePEc:eee:ecomod:v:486:y:2023:i:c:s0304380023002442
    DOI: 10.1016/j.ecolmodel.2023.110514
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    References listed on IDEAS

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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Melo-Merino, Sara M. & Reyes-Bonilla, Héctor & Lira-Noriega, Andrés, 2020. "Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence," Ecological Modelling, Elsevier, vol. 415(C).
    4. Barbosa, Fabiana G. & Schneck, Fabiana, 2015. "Characteristics of the top-cited papers in species distribution predictive models," Ecological Modelling, Elsevier, vol. 313(C), pages 77-83.
    5. Bradley A Pickens & Rachel Carroll & Michael J Schirripa & Francesca Forrestal & Kevin D Friedland & J Christopher Taylor, 2021. "A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-21, May.
    6. Sillero, Neftalí & Campos, João Carlos & Arenas-Castro, Salvador & Barbosa, A.Márcia, 2023. "A curated list of R packages for ecological niche modelling," Ecological Modelling, Elsevier, vol. 476(C).
    7. Sillero, Neftalí, 2011. "What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods," Ecological Modelling, Elsevier, vol. 222(8), pages 1343-1346.
    8. Ready, Jonathan & Kaschner, Kristin & South, Andy B. & Eastwood, Paul D. & Rees, Tony & Rius, Josephine & Agbayani, Eli & Kullander, Sven & Froese, Rainer, 2010. "Predicting the distributions of marine organisms at the global scale," Ecological Modelling, Elsevier, vol. 221(3), pages 467-478.
    9. Derek P. Tittensor & Camilo Mora & Walter Jetz & Heike K. Lotze & Daniel Ricard & Edward Vanden Berghe & Boris Worm, 2010. "Global patterns and predictors of marine biodiversity across taxa," Nature, Nature, vol. 466(7310), pages 1098-1101, August.
    10. Xavier Barber & David Conesa & Antonio López-Quílez & Joaquín Martínez-Minaya & Iosu Paradinas & Maria Grazia Pennino, 2021. "Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach," Mathematics, MDPI, vol. 9(4), pages 1-12, February.
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