An Estuarine Benthic Index of Biotic Integrity (B-IBI) for Chesapeake Bay

Weisberg, Stephen B.; Ranasinghe, J. Ananda; Dauer, Daniel M.; Schaffner, Linda C.; Díaz, Robert J.; Frithsen, Jeffrey B.

doi:10.2307/1352728

Cited by 360 publications

(261 citation statements)

References 32 publications

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“…Similarly, many indices described relate to anthro pogenically organic-rich systems, whereas estuaries are naturally organic-rich systems. Weisberg et al (1997) developed a multimetric benthic index of biotic integrity (B-IBI) (for acronyms within this section, see Table 5) which was based on 17 candidate mea sures. These included primary and derived community indices (species richness, abundance, diversity, etc.)…”

Section: Macroinvertebratesmentioning

confidence: 99%

“…as well as the percentage of abundance of different functional groups. By accommodating differences in salinity and substratum, com paring test and reference areas, and by using a rank-scoring system for the deviation by different metrics to reference con ditions, Weisberg et al (1997) were able to separate stressed benthic areas from reference conditions.…”

Section: Macroinvertebratesmentioning

confidence: 99%

“…In the case of the methods that use soft-bottom benthic community analysis (i.e., AMBI, BENTIX, B-IBI, and ISD ; Table 11), the data provide a result that is integrative but not in the same way as the other methods. The result is in itself a reflection of integrated conditions with ratings ranging from pristine/unpolluted to extremely polluted (see Borja et al, 2000;Simboura andZenetos, 2002, Reizopoulou andNicolaidou, 2007;Weisberg et al, 1997;or Zaldívar et al, 2008 for comparative discussion). In this case, application of the methods provide an integrated result; however, it is not possible to identify the primary stressor(s) that are causing the impairment and thus it has the opposite problem of the single stressor focus of the other methods.…”

Section: Table 13mentioning

confidence: 99%

See 2 more Smart Citations

Classifying Ecological Quality and Integrity of Estuaries

Borja¹,

Basset²,

Bricker³

et al. 2011

Treatise on Estuarine and Coastal Science

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There is an increasing need in assessing ecological quality and integrity of estuaries and lagoons. This chapter shows the most recent efforts in assessing individual biological elements (from phytoplankton to fishes), together with the integrative tools developed in different geographical areas worldwide. However, reducing complex information from multiple ecosystem elements to a single color or value is a substantial challenge to marine scientists, and requires the integration of different disciplines (chemists, engineers, biologists, ecologists, physics, managers, etc.), to reach agreement on the final assignment of ecological status. Hence, in the near future, emphasis needs to be directed at understanding the complexities of estuarine system functioning rather than simplifying and scaling down the system into smaller components. Provided for non-commercial research and educational use.Not for reproduction, distribution or commercial use.This chapter was originally published in Treatise on Estuarine and Coastal Science, published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit of the author's institution, for noncommercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who you know, and providing a copy to your institution's administrator.All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution's website or repository, are prohibited.For exceptions, permission may be sought for such use through Elsevier's permissions site at: Author's personal copy AbstractThere is an increasing need in assessing ecological quality and integrity of estuaries and lagoons. This chapter shows the most recent efforts in assessing individual biological elements (from phytoplankton to fishes), together with the integrative tools developed in different geographical areas worldwide. However, reducing complex information from multiple ecosystem elements to a single color or value is a substantial challenge to marine scientists, and requires the integration of different disciplines (chemists, engineers, biologists, ecologists, physics, managers, etc.), to reach agreement on the final assignment of ecological status. Hence, in the near future, emphasis needs to be directed at understanding the complexities of estuarine system functioning rather than simplifying and scaling down the system into smaller components.

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Section: Macroinvertebratesmentioning

confidence: 99%

Section: Macroinvertebratesmentioning

confidence: 99%

Section: Table 13mentioning

confidence: 99%

See 1 more Smart Citation

Classifying Ecological Quality and Integrity of Estuaries

Borja¹,

Basset²,

Bricker³

et al. 2011

Treatise on Estuarine and Coastal Science

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“…It has been suggested that macrobenthic response may be a more sensitive and reliable indicator of adverse effects than water or sediment quality data since the loss of biodiversity and the dominance of a few tolerant species in polluted areas may simplify the food web to the point of irreversibly changed ecosystem processes (Karr and Chu, 1997;Lerberg et al, 2000). Several characteristics make macrobenthic organisms useful and suitable indicators, such as (1) they live in bottom sediments, where exposure to contaminants and oxygen stress is most frequent (Kennish, 1992;Engle, 2000); (2) most benthos are relatively sedentary and reflect the quality of their immediate environment (Pearson and Rosenberg, 1978;Dauer, 1993;Weisberg et al, 1997); (3) many benthic species have relatively long life spans and their responses integrate water and sediment quality changes over time (Dauer, 1993;Reiss and Krö ncke, 2005); (4) they include diverse species with a variety of life features and tolerances to stress, which allow their inclusion into different functional response groups (Pearson and Rosenberg, 1978); (5) some species are, or are prey of, commercially important species (Reiss and Krö ncke, 2005); and (6) they affect fluxes of chemicals between sediment and water columns through bioturbation and suspension feeding activities, as well as playing a vital role in nutrient cycling (Reiss and Krö ncke, 2005). …”

Section: Biotic Indices-concepts and Descriptionsmentioning

confidence: 99%

Review and evaluation of estuarine biotic indices to assess benthic condition

Pinto

Patrício

Baeta

et al. 2009

Ecological Indicators

255

108

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“…Other more recently-developed indices (e.g., Weisberg et al, 1997;Warwick and Clarke, 1998;Borja et al, 2000;Llansó et al, 2002a;Llansó et al, 2002b;Simboura and Zenetos, 2002;Salas et al, 2004;Muxika et al, 2005) may be more appropriate and could easily be used in lieu of the ITI, although these too remain to be fully validated. Fourth, the model has yet to be fully validated in many areas under different environmental regimes (see above) so that its applicability may not be considered to be general.…”

Section: Review Of Ecological Carrying Capacitymentioning

confidence: 99%

Review of recent carrying capacity models for bivalve culture and recommendations for research and management

McKindsey¹,

Thetmeyer²,

Landry³

et al. 2006

Aquaculture

248

118

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Models and tools for assessing the carrying capacity of an area of interest for bivalve culture can be classified according to their level of complexity and scope. In this report, we discuss and outline four hierarchical categories of carrying capacity studies: physical, production, ecological, and social carrying capacity. The assessment of carrying capacity for progressively higher categories of models is based on a sound understanding of preceding categories. We discuss each in brief and the third in more detail as this is the level at which knowledge is the most lacking and for which science may make the most advances.(1) Physical carrying capacity may be assessed by a combination of hydrodynamic models and physical information, ideally presented and analysed within a Geographic Information System (GIS). (2) Most scientific effort to date has been directed towards modelling production carrying capacity and some of the resulting models have been used successfully to this end. Further development of these models should pay attention to (i) better modelling of feedback mechanisms between bivalve culture and the environment, (ii) a consideration of all steps in the culture process (seed collection, ongrowing, harvesting, and processing), and (iii) culture technique. (3) The modelling of ecological carrying capacity is still in its infancy. The shortcomings mentioned for models for production carrying capacity estimates are even greater for ecological carrying capacity models. GIS may be employed to consider interactions between culture activities and sensitive habitats. (4) It is recommended that social carrying capacity be evaluated only after the preceding levels have been completed so that an unbiased assessment is obtained. This however does not exclude direction from managers for scientists as to which factors (such as water clarity, specific habitats, etc.) should be evaluated. The use of expert systems to aid in management decisions is briefly discussed with a suggested application of a fuzzy expert system to this end.

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An Estuarine Benthic Index of Biotic Integrity (B-IBI) for Chesapeake Bay

Cited by 360 publications

References 32 publications

Classifying Ecological Quality and Integrity of Estuaries

Classifying Ecological Quality and Integrity of Estuaries

Review and evaluation of estuarine biotic indices to assess benthic condition

Review of recent carrying capacity models for bivalve culture and recommendations for research and management

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