4.7 Article

A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams

期刊

ECOLOGICAL INDICATORS
卷 78, 期 -, 页码 48-61

出版社

ELSEVIER
DOI: 10.1016/j.ecolind.2017.03.003

关键词

IBI; Fish; Aquatic insects; Biological assessment; Ecological indicators

资金

  1. Instituto Nacional de Ciencia e Tecnologia - Biodiversidade e Uso da Terra na Amazonia [CNPq 574008/2008-0]
  2. Empresa Brasileira de Pesquisa Agropecuaria [EMBRAPA SEG 02.08.06.005.00]
  3. UK Darwin Initiative [17-023]
  4. Nature Conservancy
  5. Natural Environment Research Council [NERC NE/F01614X/1, NE/G000816/1]
  6. Fulbright Brasil
  7. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior [CAPES 2943-13-1]
  8. Science without Borders [PDSE 2943/13-1, CNPq306325/2011-0, PDSE-1914-13-8, CNPq400640/2012-0, CNPq303252/2013-8, CNPq313183/2014-7]
  9. Fundacao de Amparo a Pesquisa do Estado de Minas Gerais [FAPEMIG PPM-00237/13, CNPq156915/2011-1]
  10. Amnis Opes Institute
  11. Natural Environment Research Council [NE/G000816/1] Funding Source: researchfish
  12. NERC [NE/G000816/1] Funding Source: UKRI

向作者/读者索取更多资源

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. (C) 2017 Elsevier Ltd. All rights reserved.

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