Modeling habitat suitability of the invasive clam Corbicula fluminea in a Neotropical shallow lagoon, southern Brazil

Abstract

This study aimed to model the habitat suitability for an invasive clam Corbicula fluminea in a coastal shallow lagoon in the southern Neotropical region (-30.22, -50.55). The lagoon (19km 2 , maximum deep 2.5m) was sampled with an Ekman dredge in an orthogonal matrix comprising 84 points. At each sampling point, were obtained environmental descriptors as depth, organic matter content (OMC), average granulometry (Avgran), and the percentage of sand (Pcsand). Prediction performance of Generalized Linear Models (GLM), Generalized Additive Models (GAM) and Boosted Regression Tree (BRT) were compared. Also, niche overlapping with other native clam species (Castalia martensi, Neocorbicula limosa and Anodontites trapesialis) was examined. A BRT model with 1400 trees was selected as the best model, with cross-validated correlation of 0.82. The relative contributions of predictors were Pcsand-42.6%, OMC-35.8%, Avgran-10.9% and Depth-10.8%. Were identified that C. fluminea occur mainly in sandy sediments with few organic matter, in shallow areas nor by the shore. The PCA showed a wide niche overlap with the native clam species C. martensi, N. limosa and A. trapesialis.Keywords: habitat suitability, spatial distribution models, model selection, invasive species. Modelagem da adequabilidade de habitat do bivalve invasorCorbicula fluminea em uma lagoa rasa Neotropical Resumo O objetivo de deste estudo foi modelar a adequabilidade de habitat do bivalve invasor Corbicula fluminea em uma lagoa costeira na região Neotropical (-30.22, -50.55). A lagoa (19km 2 , 2,5 m de profundidade máxima) foi amostrada com uma draga Ekman em uma matriz ortogonal compreendendo 84 pontos. Em cada ponto de amostragem foram obtidos descritores ambientais como a profundidade, teor de matéria orgânica (OMC), granulometria média (Avgran), e a percentagem de areia (Pcsand). O poder preditivo dos métodos Modelos Lineares Generalizados (GLM), Modelos Aditivos Generalizados (GAM) e Boosted Regression Trees (BRT) foram comparados. Além disso, a sobreposição de nicho com espécies de moluscos nativos (Castalia martensi, Neocorbicula limosa e Anodontites trapesialis) foi examinada. Um modelo BRT com 1.400 árvores foi selecionado como o melhor modelo, com correlação da validação cruzada de 0,82. As contribuições relativas dos preditores foram Pcsand-42,6%, OMC-35,8%, Avgran-10,9% e profundidade-10,8%. Foi demonstrado que C. fluminea está associada a sedimentos arenosos com pouca matéria orgânica, em áreas rasas próximo às margens. A PCA mostrou uma ampla sobreposição de nicho com as espécies de moluscos nativos C. martensi, N. limosa e A. trapesialis.Palavras-chave: adequabilidade de habitat, modelos de distribuição espacial, seleção de modelo, espécie invasora.

Environmental Parameters Controlling the Habitat of the Brackishwater Clam Corbicula Japonica Identified by Predictive Modelling

“…However, our model was able to be predictive due to the high number of samples. The precision of the predictive model using GLM was low when there were many 0 data in the study of Silveira and others [8]. After performing analysis with the data from three seasons in this model, it was shown that environmental factors affecting the habitation of the C. japonica by season were different.…”

Current distribution of the invasive mollusk Corbicula fluminea (O.F. Müller, 1774) (Bivalvia, Cyrenidae) in Brazil, including a new record from the state of Piauí

“…The continuous expansion of the distribution of C. fluminea in Brazilian water bodies, calls attention to the need for studies on population dynamics, modeling of habitat adequacy, as well as genetic variability of populations. These researches must be considered for the development of strategies to avoid the advance of new environments as well as to mitigate possible damages to the native fauna (Pigneur et al 2013;Silveira et al 2016;Fernandes et al 2020).…”

“…Considering the high invasive potential of C. fluminea and its consequent economic and ecological impacts, it is important to understand the patterns of dispersion in non-native areas, accessing its updated distribution. This can help in predicting potential sites for new invasions and supporting preventive and controlling strategies, as well as identifying the main routes of introduction (Karatayev et al 2007;Ilarri and Sousa 2012;Silveira et al 2016). The objective of this study is to gather information on the current distribution of this species in Brazil and to record the occurrence of the species in the state of Piauí.…”

The Environmental Parameters Controlling the Habitat of Invasive Alien Species, Spartina Alterniflora Identified by Predictive Modeling

“…In this study we performed analysis based on four environmental parameters and the 6 relationships between two factors. Some studies used the GLM models and predicted the habitation of each species [15]- [18]. Each model used many environmental factors from 8 to 10.…”