Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI)
Quantifying the uncertainty associated with monitoring protocols is essential to prevent the misclassification of ecological status and to improve sampling design. We assessed the Posidonia oceanica multivariate index (POMI) bio-monitoring program for its robustness in classifying the ecological sta...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/52204 |
| _version_ | 1848758871432101888 |
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| author | Bennett, Scott Roca, G. Romero, J. Alcoverro, T. |
| author_facet | Bennett, Scott Roca, G. Romero, J. Alcoverro, T. |
| author_sort | Bennett, Scott |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Quantifying the uncertainty associated with monitoring protocols is essential to prevent the misclassification of ecological status and to improve sampling design. We assessed the Posidonia oceanica multivariate index (POMI) bio-monitoring program for its robustness in classifying the ecological status of coastal waters within the Water Framework Directive. We used a 7-year data set covering 30 sites along 500 km of the Catalonian coastline to examine which version of POMI (14 or 9 metrics) maximises precision in classifying the ecological status of meadows. Five factors (zones within a site, sites within a water body, depth, years and surveyors) that potentially generate classification uncertainty were examined in detail. Of these, depth was a major source of uncertainty, while all the remaining spatial and temporal factors displayed low variability. POMI 9 matched POMI 14 in all factors, and could effectively replace it in future monitoring programs. © 2011 Elsevier Ltd. |
| first_indexed | 2025-11-14T09:50:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-52204 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:50:52Z |
| publishDate | 2011 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-522042017-09-13T15:40:02Z Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) Bennett, Scott Roca, G. Romero, J. Alcoverro, T. Quantifying the uncertainty associated with monitoring protocols is essential to prevent the misclassification of ecological status and to improve sampling design. We assessed the Posidonia oceanica multivariate index (POMI) bio-monitoring program for its robustness in classifying the ecological status of coastal waters within the Water Framework Directive. We used a 7-year data set covering 30 sites along 500 km of the Catalonian coastline to examine which version of POMI (14 or 9 metrics) maximises precision in classifying the ecological status of meadows. Five factors (zones within a site, sites within a water body, depth, years and surveyors) that potentially generate classification uncertainty were examined in detail. Of these, depth was a major source of uncertainty, while all the remaining spatial and temporal factors displayed low variability. POMI 9 matched POMI 14 in all factors, and could effectively replace it in future monitoring programs. © 2011 Elsevier Ltd. 2011 Journal Article http://hdl.handle.net/20.500.11937/52204 10.1016/j.marpolbul.2011.06.016 Elsevier restricted |
| spellingShingle | Bennett, Scott Roca, G. Romero, J. Alcoverro, T. Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) |
| title | Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) |
| title_full | Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) |
| title_fullStr | Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) |
| title_full_unstemmed | Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) |
| title_short | Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI) |
| title_sort | ecological status of seagrass ecosystems: an uncertainty analysis of the meadow classification based on the posidonia oceanica multivariate index (pomi) |
| url | http://hdl.handle.net/20.500.11937/52204 |