Prediction of future risk of invasion by Limnoperna fortunei (Dunker, 1857) (Mollusca, Bivalvia, Mytilidae) in Brazil with cellular automata

• Published in: Ecological indicators Vol. 92; pp. 30 - 39
• Main Authors: Barbosa, Newton P.U., Ferreira, Jacqueline A., Nascimento, César A.R., Silva, Fabiano A., Carvalho, Vinícius A., Xavier, Eric R.S., Ramon, Lucas, Almeida, Arthur C., Carvalho, Marcela D., Cardoso, Antônio V.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2018
• Subjects: Aichi biodiversity targets; algorithms; altitude; Brazil; climatic factors; control methods; Dispersion vectors; environmental impact; environmental indicators; Golden mussel; human population; invasive species; Jump dispersion; Limnoperna fortunei; molluscs; population density; prediction; risk; risk assessment; rivers; Brazil; Dispersion vectors; Jump dispersion; Golden mussel; Aichi biodiversity targets

[Display omitted] •It is proposed a cellular automaton to predict the invasion of Limnoperna fortunei.•The model can be used to predict the risk of current and future invasions.•The algorithm was created considering the biology of the species. In South America, the presence of the non-native mollusc...