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Deep-sea benthic megafaunal habitat suitability modelling: A global-scale maximum entropy model for xenophyophores
Institution:1. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Subcoordinación de Monitoreo Marino, Laboratorio de Sistemas Arrecifales, UABCS, Carretera al Sur Km 5.5. Col. El Mezquitito, 23080, La Paz, B.C.S., Mexico;2. Departamento de Sistemática y Ecología Acuática, El Colegio de la Frontera Sur, Avenida del Centenario, Km 5.5, 77014 Chetumal, Quintana Roo, Mexico;3. Instituto de Oceanología, Calle 1ra. No. 18406 e/184 y 186, Reparto Flores, 11300 Playa, La Habana, Cuba;4. Acuario Nacional de Cuba, Avenida 1ra y 60, Miramar, 11300 Playa, La Habana, Cuba;5. Comisión Nacional de Áreas Naturales Protegidas, Boulevard Kukulcán Km 4.8, Zona Hotelera, Benito Juárez, 77500 Cancún, Quintana Roo, Mexico;6. Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Cd. Universitaria, México 04510, Ciudad de México, Mexico;7. Parque Nacional Guanahacabibes, Centro de Investigaciones y Servicios Ambientales (ECOVIDA), La Bajada, 24150 Sandino, Pinar del Río, Cuba;8. Centro Nacional de Áreas Protegidas, Calle 18A, No. 4114, Miramar, 11300 Playa, La Habana, Cuba;9. Parque Nacional Cayos de San Felipe, La Coloma 20100, Pinar del Río, Cuba;10. Laboratorio de Ecología de Ecosistemas de Arrecifes Coralinos, Dep. de Recursos del Mar, CINVESTAV IPN-Unidad Mérida, Ant. Carr. a Progreso Km. 6, A.P. 73 Cordemex, Yucatán 97310, Mexico
Abstract:Xenophyophores are a group of exclusively deep-sea agglutinating rhizarian protozoans, at least some of which are foraminifera. They are an important constituent of the deep-sea megafauna that are sometimes found in sufficient abundance to act as a significant source of habitat structure for meiofaunal and macrofaunal organisms. This study utilised maximum entropy modelling (Maxent) and a high-resolution environmental database to explore the environmental factors controlling the presence of Xenophyophorea and two frequently sampled xenophyophore species that are taxonomically stable: Syringammina fragilissima and Stannophyllum zonarium. These factors were also used to predict the global distribution of each taxon. Areas of high habitat suitability for xenophyophores were highlighted throughout the world?s oceans, including in a large number of areas yet to be suitably sampled, but the Northeast and Southeast Atlantic Ocean, Gulf of Mexico and Caribbean Sea, the Red Sea and deep-water regions of the Malay Archipelago represented particular hotspots. The two species investigated showed more specific habitat requirements when compared to the model encompassing all xenophyophore records, perhaps in part due to the smaller number and relatively more clustered nature of the presence records available for modelling at present. The environmental variables depth, oxygen parameters, nitrate concentration, carbon-chemistry parameters and temperature were of greatest importance in determining xenophyophore distributions, but, somewhat surprisingly, hydrodynamic parameters were consistently shown to have low importance, possibly due to the paucity of well-resolved global hydrodynamic datasets. The results of this study (and others of a similar type) have the potential to guide further sample collection, environmental policy, and spatial planning of marine protected areas and industrial activities that impact the seafloor, particularly those that overlap with aggregations of these conspicuously large single-celled eukaryotes.
Keywords:Maxent  Species distribution modelling  Xenophyophorea
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