Use este identificador para citar ou linkar para este item:
https://repositorio.inpa.gov.br/handle/1/17097
Título: | A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams |
Autor: | Chen, Kai Hughes, Robert Mason Brito, Janaina G. Leal, Cecília Gontijo Leitão, Rafael Pereira Oliveira-Júnior, José Max Barbosa de Oliveira, Vívian Campos de Dias-Silva, Karina Ferraz, Silvio Frosini de Barros Ferreira, Joice Nunes Hamada, Neusa Juen, Leandro Nessimian, Jorge dos Santos Pompeu, Paulo Zuanon, Jansen |
Palavras-chave: | Ecology Anthropogenic Disturbance Aquatic Insects Biological Assessment Biological Conditions Ecological Indicators Multi-metric Indices Natural Variability Physiological Sensitivity Fish Aquatic Organism Environmental Assessment Environmental Conditions Environmental Gradient Environmental Indicator Environmental Stress Fish Human Activity Physiological Response Amazonia Hexapoda |
Data do documento: | 2017 |
Revista: | Ecological Indicators |
É parte de: | Volume 78, Pags. 48-61 |
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. © 2017 Elsevier Ltd |
DOI: | 10.1016/j.ecolind.2017.03.003 |
Aparece nas coleções: | Artigos |
Arquivos associados a este item:
Não existem arquivos associados a este item.
Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.