A new species, Holothuria (Mertensiothuria) arenacava (Echinodermata, Holothuroidea) from the littoral waters of Kenya is described. This species is characterized by its sand-burrowing behaviour, its small tentacles, the variously developed tables, corpuscules, buttons, plates and rods in the tube feet, and by the smooth, spiny and knobbed rods in the tentacles.
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EVALUATION OF DIFFERENT TAXONOMIC LEVELS AS SURROGATES OF ANT DIVERSITY IN GREEN AREAS IN AN URBANIZED ENVIRONMENT E. B. A. KOCH1, T. S. MELO2,3,4, A. R. S. ANDRADE2,3, M. LEPONCE5 & J. H. C. DELABIE2,4 1Programa de Pós-graduação em Ecologia e Evolução, Universidade Estadual de Feira de Santana (UEFS), CEP: 44.036-900 - Feira de Santana, Bahia, Brazil, e-mail: elmoborges@gmail.com; 2Programa de Pós-graduação em Ecologia, Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil; 3Centro de Ecologia e Conservação Animal, Universidade Católica do Salvador (UCSal), Salvador, Bahia, Brazil; 4Laboratório de Mirmecologia, Convênio Universidade Estadual de Santa Cruz (UESC)/Comissão Executiva do Plano da Lavoura Cacaueira (CEPLAC), Ilhéus, Bahia, Brazil; 5Biodiversity Monitoring & Assessment, Royal Belgian Institute of Natural Sciences (RBINS), Bruxelas, Belgium. In cities located in environments of high biological importance, urbanization leads to changes in biotic diversity, while monitoring these changes can be difficult. Studies have pointed to the use of metrics that replace species as an alternative. Surrogate models are easily determined measures of biodiversity that correlate strongly with species richness and with what you want to investigate, being useful for detecting or monitoring environmental changes. The use of higher taxonomic levels has been applied to groups of megadiverse organisms, such as arthropods, since difficulties in identifying species are predictable. The aim of this study was to evaluate the practicality of using taxonomic diversity of ants as a surrogate of green area coverage in an urban environment. Four levels of "surrogate resolutions" (subfamily, genus, indicator taxa, and intermediate resolution) were assessed to the taxonomic diversity of ants across three levels of urban green areas (Small = 0 to 35%
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RBINS Staff Publications 2023
EVALUATION OF DIFFERENT TAXONOMIC LEVELS AS SURROGATES OF ANT DIVERSITY IN GREEN AREAS IN AN URBANIZED ENVIRONMENT E. B. A. KOCH1, T. S. MELO2,3,4, A. R. S. ANDRADE2,3, M. LEPONCE5 & J. H. C. DELABIE2,4 1Programa de Pós-graduação em Ecologia e Evolução, Universidade Estadual de Feira de Santana (UEFS), CEP: 44.036-900 - Feira de Santana, Bahia, Brazil, e-mail: elmoborges@gmail.com; 2Programa de Pós-graduação em Ecologia, Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil; 3Centro de Ecologia e Conservação Animal, Universidade Católica do Salvador (UCSal), Salvador, Bahia, Brazil; 4Laboratório de Mirmecologia, Convênio Universidade Estadual de Santa Cruz (UESC)/Comissão Executiva do Plano da Lavoura Cacaueira (CEPLAC), Ilhéus, Bahia, Brazil; 5Biodiversity Monitoring & Assessment, Royal Belgian Institute of Natural Sciences (RBINS), Bruxelas, Belgium. In cities located in environments of high biological importance, urbanization leads to changes in biotic diversity, while monitoring these changes can be difficult. Studies have pointed to the use of metrics that replace species as an alternative. Surrogate models are easily determined measures of biodiversity that correlate strongly with species richness and with what you want to investigate, being useful for detecting or monitoring environmental changes. The use of higher taxonomic levels has been applied to groups of megadiverse organisms, such as arthropods, since difficulties in identifying species are predictable. The aim of this study was to evaluate the practicality of using taxonomic diversity of ants as a surrogate of green area coverage in an urban environment. Four levels of "surrogate resolutions" (subfamily, genus, indicator taxa, and intermediate resolution) were assessed to the taxonomic diversity of ants across three levels of urban green areas (Small = 0 to 35%
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RBINS Staff Publications 2023
