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Modelling the abundance of a non-native mollusk in tropical semi-arid reservoirs

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Abstract

This study aimed to investigate the relative importance of abiotic factors and biotic resistance (expressed as species richness of native macroinvertebrates), through a correlative niche-based model, to explain the abundance of the non-native mollusk Melanoides tuberculata. A total of 478 sites were sampled in six reservoirs in a Brazilian semi-arid region in June, September, December (2014) and March (2015). A niche-based model (BRT's), which included all tested predictor variables explained 41.7% total variation in M. tuberculata abundance. Water depth had the highest relative importance (19.0% of relative contribution) followed by temperature (17.2%) and sediment organic matter content (15.4%). The native macroinvertebrate richness explained only 8.0%, evidencing the smaller role of biotic resistance in explaining M. tuberculata abundance. Our results suggest that factors associated with the extent of species’ niches are more important and can determine the multiple invasion processes of this mollusk, especially in terms of population growth and spread. The low explanatory power of biotic resistance on the abundance and distribution of the invasive mollusk may not necessarily indicate a lack of resistance by the native community, and M. tuberculata is not widespread enough to occupy the total potential range.

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Availability of data and material

All data generated and analysed in this study are included in this principal file. However, additional information can be requested from the authors.

Code availability

Statistical and richness estimate analyses were performed using the PRIMER-6 + PERMANOVA programme (Systat Software, Cranes Software International Ltd., Anderson et al. 2008; License: AP6100-9622-1934156), EstimateS 9.1.0 and software and MSOffice®.

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Acknowledgements

The authors acknowledge Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-CAPES for the postdoctoral scholarship granted to the first author (process 88887.374939/2019-00); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for funding the research project CNPq/MCTI 446721/2014-0 and the research productivity scholarship (process 302393/2017-0) granted to JM and to SMT (process 303692/2014-6); Laboratory of Limonology, Ecotoxicology and Aquatic Ecology (UFMG) for logistical support; Laboratory of Ecology of Benthos (UEPB) and Laboratory of Aquatic Ecology for their support in sample processing; and Foundation for the Science and Technology for the financial support to MARE strategic program (UID/MAR/04292/2013).

Funding

Funding for the execution of this research was provided by the National Council for Scientific and Technological Development (CNPq) through the Research Project CNPq/MCTI 446721/2014-0.

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Authors and Affiliations

  1. Programa de Pós-Graduação em Ciências Naturais e Biotecnologia, Universidade Federal de Campina Grande, Cuité, Paraíba, Brazil

    Daniele Jovem-Azevêdo

  2. Departamento de Genética, Ecologia e Evolução/ Programa de Pós-Graduação em Ecologia, Conservação e Manejo da Vida Silvestre, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

    José Fernandes Bezerra-Neto

  3. Department of Life Sciences, MARE - Marine and Environmental Sciences Centre, University of Coimbra, Coimbra, Portugal

    Maria João Feio

  4. Departamento de Biociências, Universidade Federal Rural do Semiárido, Mossoró, Rio Grande do Norte, Brazil

    Rodrigo Fernandes

  5. Programa de Pós-Graduação em Ciência e Tecnologia Ambiental, Universidade Estadual da Paraíba, Campina Grande, Paraíba, Brazil

    Wilma Izabelly Ananias Gomes

  6. Departamento de Biologia/ Núcleo de Pesquisa em Limnologia, Ictiologia e Aquicultura, Universidade Estadual de Maringá, Maringá, Brazil

    Sidinei Magela Thomaz

  7. Departamento de Biologia/ Programa de Pós-Graduação em Ecologia e Conservação, Universidade Estadual da Paraíba, Campina Grande, Paraíba, Brazil

    Joseline Molozzi

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Jovem-Azevêdo, D., Bezerra-Neto, J.F., Feio, M.J. et al. Modelling the abundance of a non-native mollusk in tropical semi-arid reservoirs. Hydrobiologia 849, 625–639 (2022). https://doi.org/10.1007/s10750-021-04729-0

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