Macrozoobenthos abundance of the intertidal zone of a sandy beach at the Island Algodoal-Maiandeua, Pará, Brazil

The present study describes quantitatively the macrozoobenthic community structure in intertidal of the Island Algodoal-Maiandeua in the Northern Brazilian state of Pará, which is part of a protected area since 1990. Samples of the epi-and endomacrobenthos of the unconsolidated substrate were collected in October 2012, using a PVC cylindrical corer with a surface area of 60 square centimeter at a depth of 30 cm, along three transects located perpendicular to the coastline, separated by intervals of 50 m. Collected material was sieved on a 1 mm mesh, specimens were fixed in 4% formaldehyde buffered with borax. In Tropical Benthic Ecology laboratory macroinvertebrates were washed with 70% alcohol and afterwards identified with a stereomicroscope and specific literature.

Global macrozoobenthos production and energy budget data base V150731, with link to database

I developed a new model for estimating annual production-to-biomass ratio P/B and production P of macrobenthic populations in marine and freshwater habitats. Self-learning artificial neural networks (ANN) were used to model the relationships between P/B and twenty easy-to-measure abiotic and biotic parameters in 1252 data sets of population production. Based on log-transformed data, the final predictive model estimates log(P/B) with reasonable accuracy and precision (r2 = 0.801; residual mean square RMS = 0.083). Body mass and water temperature contributed most to the explanatory power of the model. However, as with all least squares models using nonlinearly transformed data, back-transformation to natural scale introduces a bias in the model predictions, i.e., an underestimation of P/B (and P). When estimating production of assemblages of populations by adding up population estimates, accuracy decreases but precision increases with the number of populations in the assemblage.