Abstract
The objectives of this study were to test an artificial substrate sampler method for aquaculture ponds and assess the water quality based on the benthic macroinvertebrate community living in fishpond sediment at four farms with tilapia production in the Baixa Mogiana region of São Paulo State, Brazil. Benthic macroinvertebrates were monitored every 15 days for 3 months. Approximately 500,000 organisms distributed in 47 taxa were collected. Chironomidae, Glossiphonidae, Hirudinidae, Libelullidae, Oligochaeta, and Polycentropodidae were present in all collected samples, with the dominance of Chironomidae in the benthic community. Polycentropodidae, a sensitive family to organic pollution, had a greater abundance in fish farms with better environmental conditions. Significant differences in dissolved oxygen and pH were observed among fishponds at different fish farms. Biomonitoring with artificial substrate is a simple and low-cost alternative to monitoring water quality of tilapia culture in fishponds. The artificial substrate sampling method was effective, but the evaluation of more critical conditions of water quality would improve the method and enhance the knowledge of taxa and ecology of macrobenthic organisms in fishponds.
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Acknowledgements
The authors are grateful to ASPI (Associação Paulista de Piscicultores) for support at all stages of the project, and to the technical staff of Laboratory of Aquatic Ecosystems of Embrapa Environment.
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This research was funded by Empresa Brasileira de Pesquisa Agropecuária (Embrapa).
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Appendix
Appendix
Taxa list and mean abundance of benthic macroinvertebrates at fish farms.
Taxa | Fish farm | |||
---|---|---|---|---|
A | B | C | D | |
Ampullaridae | 0.000 | 0.000 | 0.628 | 0.011 |
Baetidae | 0.000 | 0.011 | 0.011 | 0.011 |
Belostomatidae | 0.000 | 0.000 | 0.000 | 0.011 |
Calamoceratidae | 0.000 | 0.000 | 0.000 | 0.011 |
Ceratopogonidae | 0.218 | 0.065 | 0.032 | 0.221 |
Chironomidae | 1990,426 | 607,630 | 1008,202 | 861,042 |
Cladocera | 6,030 | 0.185 | 0.840 | 0.021 |
Coenagrionidae | 0.050 | 0.087 | 0.053 | 0.032 |
Collembola | 0.000 | 0.000 | 0.021 | 0.000 |
Conchostraca | 0.000 | 0.120 | 1,223 | 0.000 |
Copepoda | 0.129 | 0.130 | 0.011 | 0.000 |
Corbiculidae | 0.000 | 0.000 | 0.415 | 0.000 |
Corduliidae | 0.089 | 0.000 | 0.074 | 0.011 |
Corixidae | 0.000 | 0.391 | 0.000 | 0.000 |
Dysticidae | 0.000 | 0.000 | 0.053 | 0.021 |
Elmidae | 0.010 | 0.000 | 0.000 | 0.000 |
Ephemeridae | 0.000 | 0.000 | 0.032 | 0.000 |
Euthyplocyidae | 0.000 | 0.076 | 0.000 | 0.000 |
Gelastocoridae | 0.010 | 0.011 | 0.000 | 0.011 |
Glossiphonidae | 8,030 | 30,652 | 2,436 | 248,821 |
Gomphidae | 0.000 | 0.011 | 0.021 | 0.000 |
Gyrinidae | 0.020 | 0.022 | 0.053 | 0.000 |
Hebridae | 0.000 | 0.000 | 0.021 | 0.000 |
Hidracarina | 0.000 | 0.000 | 0.021 | 0.011 |
Hirudinidae | 8,634 | 10,652 | 0.851 | 41,189 |
Hydrobiosidae | 0.000 | 0.076 | 0.000 | 0.000 |
Hydrophilidae | 0.000 | 0.000 | 0.000 | 0.011 |
Hydropsychidae | 0.000 | 0.076 | 0.000 | 0.000 |
Leptoceridae | 0.000 | 0.011 | 0.021 | 0.000 |
Libellulidae | 0.574 | 0.196 | 0.340 | 0.263 |
Lutrochidae | 0.000 | 0.000 | 0.011 | 0.000 |
Nematoda | 0.059 | 0.011 | 0.000 | 8,926 |
Notonectidae | 0.119 | 0.000 | 0.000 | 0.000 |
Odontoceridae | 0.000 | 0.022 | 0.000 | 0.000 |
Oligochaeta | 100,614 | 64,728 | 14,840 | 64,705 |
Ostracoda | 0.000 | 0.000 | 0.021 | 0.000 |
Perilestidae | 0.010 | 0.043 | 0.000 | 0.000 |
Philopotamidae | 0.000 | 0.022 | 0.000 | 0.000 |
Piscicolidae | 0.000 | 0.000 | 0.000 | 0.021 |
Polycentropodidae | 0.010 | 16,663 | 0.074 | 0.032 |
Polimitarcydae | 0.059 | 0.326 | 0.149 | 0.011 |
Planorbiidae | 0.000 | 0.000 | 0.096 | 0.505 |
Protoneuridae | 0.000 | 0.011 | 0.000 | 0.011 |
Tabanidae | 0.010 | 0.000 | 0.000 | 0.000 |
Tipulidae | 0.000 | 0.000 | 0.000 | 0.000 |
Thiaridae | 0.059 | 0.000 | 8,532 | 8,105 |
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Moura e Silva, M.S.G., Losekann, M.E., Luiz, A.J.B. et al. Biomonitoring as a potential tool for water quality in tilapia culture: a case study of Baixa Mogiana region of São Paulo State, Brazil. Environ Monit Assess 194, 597 (2022). https://doi.org/10.1007/s10661-022-10257-8
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DOI: https://doi.org/10.1007/s10661-022-10257-8