A multi-assemblage,multi-metric biological condition index for eastern Amazonia streams |
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| Institution: | 1. Department of Entomology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People’s Republic of China;2. Center for Eco-Environmental Sciences Research, Nanjing Hydraulic Research Institute, Nanjing, Jiangsu 210024, People’s Republic of China;3. Amnis Opes Institute and Department of Fisheries & Wildlife, Oregon State University, 2895 SE Glenn, Corvallis, OR 97333, USA;4. Coordenação de Biodiversidade, Instituto Nacional de Pesquisas da Amazônia, Avenida André Araújo, 2.936 Petrópolis, 69067-375, Manaus, AM, Brazil;5. Setor Ecologia, Departamento de Biologia, Universidade Federal de Lavras, CP 3037, 37200-000, Lavras, MG, Brazil;6. Museu Paraense Emílio Goeldi, 66077-830, Belém, PA, Brazil;7. Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, United Kingdom;8. Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Avenida Antônio Carlos 6627, CP 486, CEP 31270-901, Belo Horizonte, MG, Brazil;9. Instituto de Ciências e Tecnologia das Águas, Universidade Federal do Oeste do Pará, Avenida Mendonça Furtado, No. 2946, Bairro Fátima, CEP: 68040-470, Santarém, PA, Brazil;10. Laboratório de Hidrologia Florestal, Escola Superior de Agricultura, Universidade de São Paulo, Piracicaba, SP 13418-900, Brazil;11. Embrapa Amazônia Oriental, Travessa Dr. Enéas Pinheiro s/n, CP 48, Belém, PA, 66.095-100, Brazil;12. Laboratório de Ecologia e Conservação, Instituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto Correia, No. 1, Bairro Guamá, CEP: 66075-110, Belém, PA, Brazil;13. Universidade Federal do Rio de Janeiro, Avenida Carlos Chagas Filho 373, CCS, Bloco A. CEP 21941-590, Rio de Janeiro, RJ, Brazil;1. Center of Environmental Sciences EULA-CHILE, Universidad de Concepción, Chile;2. Institute of Marine Science and Limnology, Universidad Austral de Chile, Chile;3. Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR 97330, USA;4. Amnis Opes Institute, Corvallis, OR 97333, USA;1. Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing, 210098, PR China;2. Hydrology Bureau of Changjiang Water Resources Commission, Wuhan, Hubei, 430010, PR China;1. Universidade Federal de Minas Gerais, Instituto de Ciências Biológicas, Departamento de Biologia Geral, Laboratório de Ecologia de Bentos, Av. Antônio Carlos 6627, CP 486, CEP 30161-970, Belo Horizonte, Minas Gerais, Brazil;2. Oregon State University, Department of Fisheries & Wildlife, 104 Nash Hall 97331-3803, Corvallis, OR, USA;3. Amnis Opes Institute and Oregon State University, Department of Fisheries & Wildlife, 104 Nash Hall 97331-3803, Corvallis, OR, USA;1. Programa de Pós-graduação em Zoologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto Corrêa, N° 1, Bairro Guamá, CEP: 66075-110 Belém, Pará, Brazil;2. Programa de Pós-graduação em Ecologia, Instituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto Corrêa, N° 1, Bairro Guamá, CEP: 66075-110 Belém, Pará, Brazil;3. Museu Paraense Emílio Goeldi, Campus de Pesquisa, Av. Perimetral, 1901 – Terra Firme, CEP: 66077-830 Belém, Pará, Brazil;4. CNRS, UMR 5023, LEHNA (Laboratoire d''Ecologie des Hydrosystèmes Naturels et Anthropisés), Biodiversité et Plasticité dans les Hydrosystèmes, Université Claude Bernard (Lyon I), Villeurbanne, Rhône, France;1. Programa de Pós-graduação em Aquicultura e Pesca, Instituto de Pesca de São Paulo, Parque da Água Branca—Av. Francisco Matarazzo, 455 CEP, 05001-90, São Paulo, SP, Brazil;2. Departamento de Ciências Pesqueiras—Universidade Federal do Amazonas, Av. Gen. Rodrigo Otávio, 3000, 69077-000, Manaus, AM, Brazil;3. UFSCar, PPGPur, Programa de Pós-graduação em Planejamento e Uso de Recursos Renováveis, Rodovia João Leme dos Santos (SP 264), km 110, 18052-780, Sorocaba, SP, Brazil;4. UNISANTA, Programa de Pós-Graduação em Sustentabilidade de Ecossistemas Costeiros e Marinhos, Rua Oswaldo Cruz, 277 (Boqueirão), 11045-907, Santos, SP, Brazil |
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| Abstract: | Multimetric indices (MMIs) are widely used for assessing ecosystem condition and they have been developed for a variety of biological assemblages. However, when multiple assemblages are assessed at sites, the assessment results may differ because of differing physiological sensitivities to particular stressor gradients, different organism size and guilds, and the effects of different scales of disturbances on the assemblages. Those differences create problems for managers seeking to avoid type-1 and type-2 statistical errors. To alleviate those problems, we used an anthropogenic disturbance index for selecting and weighting metrics, modeled metrics against natural variability to reduce the natural variability in metrics, and developed an MMI based on both fish and aquatic insect metrics. We evaluated eight different ways of calibrating and combining candidate metrics and found that MMIs with unweighted and modeled aquatic insect and fish metrics were the preferred MMI options. |
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| Keywords: | IBI Fish Aquatic insects Biological assessment Ecological indicators |
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