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

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A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams. / Chen, Kai; Hughes, Robert M.; Brito, Janaina G. et al.
In: Ecological Indicators, Vol. 78, 07.2017, p. 48-61.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Chen, K, Hughes, RM, Brito, JG, Gontijo Leal, C, Leitão, RP, de Oliveira-Júnior, JMB, de Oliveira, VC, Dias-Silva, K, Ferraz, SFB, Ferreira, J, Hamada, N, Juen, L, Nessimian, J, Pompeu, PS & Zuanon, J 2017, 'A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams', Ecological Indicators, vol. 78, pp. 48-61. https://doi.org/10.1016/j.ecolind.2017.03.003

APA

Chen, K., Hughes, R. M., Brito, J. G., Gontijo Leal, C., Leitão, R. P., de Oliveira-Júnior, J. M. B., de Oliveira, V. C., Dias-Silva, K., Ferraz, S. F. B., Ferreira, J., Hamada, N., Juen, L., Nessimian, J., Pompeu, P. S., & Zuanon, J. (2017). A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams. Ecological Indicators, 78, 48-61. https://doi.org/10.1016/j.ecolind.2017.03.003

Vancouver

Chen K, Hughes RM, Brito JG, Gontijo Leal C, Leitão RP, de Oliveira-Júnior JMB et al. A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams. Ecological Indicators. 2017 Jul;78:48-61. Epub 2017 Mar 18. doi: 10.1016/j.ecolind.2017.03.003

Author

Chen, Kai ; Hughes, Robert M. ; Brito, Janaina G. et al. / A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams. In: Ecological Indicators. 2017 ; Vol. 78. pp. 48-61.

Bibtex

@article{71d18581609644f6b990f97f23e4ab66,

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

abstract = "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.",

keywords = "IBI, Fish, Aquatic insects, Biological assessment, Ecological indicators",

author = "Kai Chen and Hughes, {Robert M.} and Brito, {Janaina G.} and {Gontijo Leal}, Cecilia and Leit{\~a}o, {Rafael P.} and {de Oliveira-J{\'u}nior}, {Jos{\'e} M.B.} and {de Oliveira}, {V{\'i}vian C.} and Karina Dias-Silva and Ferraz, {Silvio F.B.} and Joice Ferreira and Neusa Hamada and Leandro Juen and Jorge Nessimian and Pompeu, {Paulo S.} and Jansen Zuanon",

year = "2017",

month = jul,

doi = "10.1016/j.ecolind.2017.03.003",

language = "English",

volume = "78",

pages = "48--61",

journal = "Ecological Indicators",

issn = "1470-160X",

publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A multi-assemblage, multi-metric biological condition index for eastern Amazonia streams

AU - Chen, Kai

AU - Hughes, Robert M.

AU - Brito, Janaina G.

AU - Gontijo Leal, Cecilia

AU - Leitão, Rafael P.

AU - de Oliveira-Júnior, José M.B.

AU - de Oliveira, Vívian C.

AU - Dias-Silva, Karina

AU - Ferraz, Silvio F.B.

AU - Ferreira, Joice

AU - Hamada, Neusa

AU - Juen, Leandro

AU - Nessimian, Jorge

AU - Pompeu, Paulo S.

AU - Zuanon, Jansen

PY - 2017/7

Y1 - 2017/7

N2 - 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.

AB - 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.

KW - IBI

KW - Fish

KW - Aquatic insects

KW - Biological assessment

KW - Ecological indicators

U2 - 10.1016/j.ecolind.2017.03.003

DO - 10.1016/j.ecolind.2017.03.003

M3 - Journal article

VL - 78

SP - 48

EP - 61

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

ER -

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