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del recurso Distribución HTML a2026-06-25
(anteriormente2026-06-23
) en Simple tools for assessing water quality and trophic status in transitional water ecosystems
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| 93 | "notes": "In this study we have developed an index for assessing | 103 | "notes": "In this study we have developed an index for assessing | ||
| 94 | trophic status and water quality in transitional aquatic ecosystems of | 104 | trophic status and water quality in transitional aquatic ecosystems of | ||
| 95 | Southern Europe. The index has been developed from the water quality | 105 | Southern Europe. The index has been developed from the water quality | ||
| 96 | index of the U.S. National Sanitation Foundation and integrates the | 106 | index of the U.S. National Sanitation Foundation and integrates the | ||
| 97 | main causal factors (inorganic nutrients), the key biological elements | 107 | main causal factors (inorganic nutrients), the key biological elements | ||
| 98 | (primary producers) and indicator of effects (oxygen) of | 108 | (primary producers) and indicator of effects (oxygen) of | ||
| 99 | eutrophication. Six main variables have been used: relative coverage | 109 | eutrophication. Six main variables have been used: relative coverage | ||
| 100 | of benthic phanerogams and opportunistic macroalgae species, and | 110 | of benthic phanerogams and opportunistic macroalgae species, and | ||
| 101 | concentrations of dissolved oxygen, phytoplankton chlorophyll-a, | 111 | concentrations of dissolved oxygen, phytoplankton chlorophyll-a, | ||
| 102 | dissolved inorganic nitrogen and phosphorus. Non-linear functions are | 112 | dissolved inorganic nitrogen and phosphorus. Non-linear functions are | ||
| 103 | used to transform each measured variable into its quality value. Each | 113 | used to transform each measured variable into its quality value. Each | ||
| 104 | quality value is then multiplied by a weighting factor, to take into | 114 | quality value is then multiplied by a weighting factor, to take into | ||
| 105 | account the relative contribution of each variable to the overall | 115 | account the relative contribution of each variable to the overall | ||
| 106 | water quality. Finally, the index value is calculated as the sum of | 116 | water quality. Finally, the index value is calculated as the sum of | ||
| 107 | the weighted quality values, ranging from 0 (poorest state) to 100 | 117 | the weighted quality values, ranging from 0 (poorest state) to 100 | ||
| 108 | (best condition). The index has been tested and validated in six | 118 | (best condition). The index has been tested and validated in six | ||
| 109 | transitional water ecosystems which differ in anthropogenic pressures | 119 | transitional water ecosystems which differ in anthropogenic pressures | ||
| 110 | and eutrophication levels, for which data sets were available from | 120 | and eutrophication levels, for which data sets were available from | ||
| 111 | 1989 to 2004: Sacca di Goro (Northern Adriatic Sea, Italy), Lesina | 121 | 1989 to 2004: Sacca di Goro (Northern Adriatic Sea, Italy), Lesina | ||
| 112 | Lagoon (Southern Adriatic Sea, Italy), Ria Formosa (Algarve, Southern | 122 | Lagoon (Southern Adriatic Sea, Italy), Ria Formosa (Algarve, Southern | ||
| 113 | Portugal), Mar Menor (Murcia, Southern Spain), Etang de Thau (Herault, | 123 | Portugal), Mar Menor (Murcia, Southern Spain), Etang de Thau (Herault, | ||
| 114 | Southern France) and Gulf of Gera (Lesvos Island, Greece). The index | 124 | Southern France) and Gulf of Gera (Lesvos Island, Greece). The index | ||
| 115 | assessments have been compared with evaluations from the IFREMER | 125 | assessments have been compared with evaluations from the IFREMER | ||
| 116 | (French Research Institute for the Exploitation of the Sea) | 126 | (French Research Institute for the Exploitation of the Sea) | ||
| 117 | classification scheme (France) and the trophic index TRIX (Italy), | 127 | classification scheme (France) and the trophic index TRIX (Italy), | ||
| 118 | which are currently used for national monitoring of coastal waters and | 128 | which are currently used for national monitoring of coastal waters and | ||
| 119 | lagoons. Based on the conclusions of this study we suggest to use the | 129 | lagoons. Based on the conclusions of this study we suggest to use the | ||
| 120 | index for monitoring water quality in shallow coastal transitional | 130 | index for monitoring water quality in shallow coastal transitional | ||
| 121 | waters, where benthic vegetation controls primary productivity, which | 131 | waters, where benthic vegetation controls primary productivity, which | ||
| 122 | makes indices based on phytoplankton only (e.g., TRIX) unsuitable. (C) | 132 | makes indices based on phytoplankton only (e.g., TRIX) unsuitable. (C) | ||
| 123 | 2008 Elsevier Ltd. All rights reserved.", | 133 | 2008 Elsevier Ltd. All rights reserved.", | ||
| 124 | "notes_translated": { | 134 | "notes_translated": { | ||
| 125 | "es": "In this study we have developed an index for assessing | 135 | "es": "In this study we have developed an index for assessing | ||
| 126 | trophic status and water quality in transitional aquatic ecosystems of | 136 | trophic status and water quality in transitional aquatic ecosystems of | ||
| 127 | Southern Europe. The index has been developed from the water quality | 137 | Southern Europe. The index has been developed from the water quality | ||
| 128 | index of the U.S. National Sanitation Foundation and integrates the | 138 | index of the U.S. National Sanitation Foundation and integrates the | ||
| 129 | main causal factors (inorganic nutrients), the key biological elements | 139 | main causal factors (inorganic nutrients), the key biological elements | ||
| 130 | (primary producers) and indicator of effects (oxygen) of | 140 | (primary producers) and indicator of effects (oxygen) of | ||
| 131 | eutrophication. Six main variables have been used: relative coverage | 141 | eutrophication. Six main variables have been used: relative coverage | ||
| 132 | of benthic phanerogams and opportunistic macroalgae species, and | 142 | of benthic phanerogams and opportunistic macroalgae species, and | ||
| 133 | concentrations of dissolved oxygen, phytoplankton chlorophyll-a, | 143 | concentrations of dissolved oxygen, phytoplankton chlorophyll-a, | ||
| 134 | dissolved inorganic nitrogen and phosphorus. Non-linear functions are | 144 | dissolved inorganic nitrogen and phosphorus. Non-linear functions are | ||
| 135 | used to transform each measured variable into its quality value. Each | 145 | used to transform each measured variable into its quality value. Each | ||
| 136 | quality value is then multiplied by a weighting factor, to take into | 146 | quality value is then multiplied by a weighting factor, to take into | ||
| 137 | account the relative contribution of each variable to the overall | 147 | account the relative contribution of each variable to the overall | ||
| 138 | water quality. Finally, the index value is calculated as the sum of | 148 | water quality. Finally, the index value is calculated as the sum of | ||
| 139 | the weighted quality values, ranging from 0 (poorest state) to 100 | 149 | the weighted quality values, ranging from 0 (poorest state) to 100 | ||
| 140 | (best condition). The index has been tested and validated in six | 150 | (best condition). The index has been tested and validated in six | ||
| 141 | transitional water ecosystems which differ in anthropogenic pressures | 151 | transitional water ecosystems which differ in anthropogenic pressures | ||
| 142 | and eutrophication levels, for which data sets were available from | 152 | and eutrophication levels, for which data sets were available from | ||
| 143 | 1989 to 2004: Sacca di Goro (Northern Adriatic Sea, Italy), Lesina | 153 | 1989 to 2004: Sacca di Goro (Northern Adriatic Sea, Italy), Lesina | ||
| 144 | Lagoon (Southern Adriatic Sea, Italy), Ria Formosa (Algarve, Southern | 154 | Lagoon (Southern Adriatic Sea, Italy), Ria Formosa (Algarve, Southern | ||
| 145 | Portugal), Mar Menor (Murcia, Southern Spain), Etang de Thau (Herault, | 155 | Portugal), Mar Menor (Murcia, Southern Spain), Etang de Thau (Herault, | ||
| 146 | Southern France) and Gulf of Gera (Lesvos Island, Greece). The index | 156 | Southern France) and Gulf of Gera (Lesvos Island, Greece). The index | ||
| 147 | assessments have been compared with evaluations from the IFREMER | 157 | assessments have been compared with evaluations from the IFREMER | ||
| 148 | (French Research Institute for the Exploitation of the Sea) | 158 | (French Research Institute for the Exploitation of the Sea) | ||
| 149 | classification scheme (France) and the trophic index TRIX (Italy), | 159 | classification scheme (France) and the trophic index TRIX (Italy), | ||
| 150 | which are currently used for national monitoring of coastal waters and | 160 | which are currently used for national monitoring of coastal waters and | ||
| 151 | lagoons. Based on the conclusions of this study we suggest to use the | 161 | lagoons. Based on the conclusions of this study we suggest to use the | ||
| 152 | index for monitoring water quality in shallow coastal transitional | 162 | index for monitoring water quality in shallow coastal transitional | ||
| 153 | waters, where benthic vegetation controls primary productivity, which | 163 | waters, where benthic vegetation controls primary productivity, which | ||
| 154 | makes indices based on phytoplankton only (e.g., TRIX) unsuitable. (C) | 164 | makes indices based on phytoplankton only (e.g., TRIX) unsuitable. (C) | ||
| 155 | 2008 Elsevier Ltd. All rights reserved." | 165 | 2008 Elsevier Ltd. All rights reserved." | ||
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| 277 | "id": "7af4b5b1-a152-48cb-b581-a321fbe3ff88", | 287 | "id": "7af4b5b1-a152-48cb-b581-a321fbe3ff88", | ||
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| 284 | "id": "012ee1ac-e8fa-4a30-993a-14ac13854137", | 294 | "id": "012ee1ac-e8fa-4a30-993a-14ac13854137", | ||
| 285 | "name": "bioindicadores", | 295 | "name": "bioindicadores", | ||
| 286 | "state": "active", | 296 | "state": "active", | ||
| 287 | "vocabulary_id": null | 297 | "vocabulary_id": null | ||
| 288 | }, | 298 | }, | ||
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| 308 | "vocabulary_id": null | 318 | "vocabulary_id": null | ||
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| 321 | "theme_es": [ | 331 | "theme_es": [ | ||
| 322 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 332 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 323 | ], | 333 | ], | ||
| 324 | "title": "Simple tools for assessing water quality and trophic | 334 | "title": "Simple tools for assessing water quality and trophic | ||
| 325 | status in transitional water ecosystems", | 335 | status in transitional water ecosystems", | ||
| 326 | "title_translated": { | 336 | "title_translated": { | ||
| 327 | "es": "Simple tools for assessing water quality and trophic status | 337 | "es": "Simple tools for assessing water quality and trophic status | ||
| 328 | in transitional water ecosystems" | 338 | in transitional water ecosystems" | ||
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| 335 | "version_notes": { | 345 | "version_notes": { | ||
| 336 | "es": "" | 346 | "es": "" | ||
| 337 | } | 347 | } | ||
| 338 | } | 348 | } |