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On Beyond BACI: Sampling Designs that Might Reliably Detect Environmental Disturbances

Underwood, A. J.·1994·Ecological Applications

Abstract

Much sampling to detect and quantify human environmental disturbances is flawed by a lack of appropriate replication. BACI (Before—After—Control—Impact) designs have only a single control location, and any conclusions from them are illogical. Asymmetrical designs using one putatively impacted and several control locations can reliably detect a variety of environmental impacts, including those that do not affect long—run mean abundances, but do alter temporal variance. When abundances of populations in different locations show temporal interaction, the asymmetrical designs allow tests for impact that are not possible in BACI designs. Asymmetrical designs are also extendable to sample at hierarchical spatial and temporal scales. The power of tests using asymmetrical designs is great for non—interactive sets of abundances, but greatest for pulse (short—term) responses to disturbances, large alterations of temporal variance, or combinations of temporal variance, or combinations of sustained, press responses in mean abundance coupled with altered temporal heterogeneity. Power in temporally interactive sets of data is generally poor. Alternatives to pre—disturbance sampling, including generalized assessment of spatial and temporal variances and experimental impacts, may provide better guidance for detection of human disturbances.

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Metadata

Authors
Underwood, A. J.
Venue
Ecological Applications
Publisher
Wiley
Published
1994-02
Volume
4
Issue
1
Pages
3-15
ISSN
  • 1051-0761 (ISSN-L)
  • 1939-5582
OpenAlex
W2006648072
Cited by
1,233
References
3
FWCI
27.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On Beyond BACI: Sampling Designs that Might Reliably Detect Environmental Disturbances. https://app.cochat.ai/papers/10.2307/1942110
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Underwood, A. J. (1994). On Beyond BACI: Sampling Designs that Might Reliably Detect Environmental Disturbances. Ecological Applications. https://doi.org/10.2307/1942110

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