Notice bibliographique
Résumé
Harmful algal blooms (HABs) are a major environmental problem in all 50 US states and nearly every country around the world. Best known as “red tide,” HAB events are capable of imposing severe impacts on human health, aquatic life, and ecosystems. Because environmental impacts to aquatic ecosystems can be as large and significant as those associated with chemical contamination, HABs should be included routinely as a contaminant of potential concern when monitoring and assessing the impact of anthropogenic activities on aquatic ecosystems. The economic impact in the US alone is considerable. According to Hoagland and Scatasta (2006), the cost of coastal HAB events is at least $82 million/y with the majority of the impact on the public health and commercial fisheries sectors. The National Centers for Coastal Ocean Science believes the costs are far greater due, in part, to the lack of information about individual events, unquantified economic effects of environmental impacts, and sociocultural impacts such as loss of cultural practices and values, increased reliance on social services, decreased recreational opportunities, and shifts in livelihoods. The ecological impact can be devastating. HAB events are capable of generating natural toxins that can cause large-scale mortalities of fish, turtles, birds, and aquatic mammals (e.g., dolphins, manatees, and whales) (Landsberg 2002). HAB events are triggered by sudden increases in populations of diatoms, dinoflagellates, and cyanobacteria (i.e., blue-green algae); their adverse effects can be direct (i.e., poisoning via the production of neurotoxins [e.g., cyanotoxins], asphyxiation via disruption of gill tissues, or asphyxiation from O2 depletion in the water column), or indirect (i.e., ingestion of food contaminated with algal toxins, loss of top predators) (Hallegraeff 1993). Terrestrial animals such as dogs and cattle, as well as humans, can also be affected by drinking water or eating food containing algal toxins, and the aesthetic impacts can be immense (Jacobs 2013). HABs are global phenomena that are not restricted to any specific geographic regions. They are increasing in frequency, intensity, and duration in freshwater, transitional (e.g., estuarine), and marine environments (Pavagadhi and Balasubramanian 2013; Quiblier et al. 2013; Wetz and Yoskowitz 2013). For example, an unusually large, long-lasting HAB in 2015 shut down shellfish fisheries along the west coast of North America (http://phys.org/news/2015-06-massive-algal-bloom.html). There is no single environmental condition that triggers a HAB event. In some cases, HABs appear to be caused by increased anthropogenic loadings (e.g., the release or accumulation of excessive nutrients, iron, and other essential elements) into fresh and coastal waters; in other cases, HABs result from natural factors including coastal upwelling, El Niño events, and inputs of wind-borne, iron-rich dust from the Sahara and other desert areas (Moore et al. 2008). Co-occurrence of HAB events with increasing surface water temperatures, ocean acidification, and changes to upwelling, precipitation, and evaporation patterns suggests that global climate change also may be a contributing factor (Dale et al. 2006; Moore et al. 2008; Jarvie et al. 2012). My personal experience with HABs, aside from exercising caution in eating coastal shellfish, includes a coastal marine pulp mill in Alaska (United States) associated with extensive fish mortalities, and a coal mine in Alberta (Canada) linked to the deaths of a dog and 2 cows that drank the water from a tailings pond. In both cases, regulators and the public assumed that the primary culprit was one or more chemical contaminants in the effluent. A great deal of time and effort was spent investigating these “usual culprits” before any thought was given to the possibility of HABs. The fish, dog, and cows all died from HAB neurotoxins. The coal mine now monitors for the presence and abundance of potentially harmful algae, as do other mines in the region; however, this is not yet common practice for anthropogenic discharges to aquatic ecosystems. It should be. To date, ecotoxicologists, aquatic ecologists, and other professionals involved in contaminant monitoring and assessment rarely consider the possibility of a biological condition as the cause of environmental damages or poisoning of wildlife or livestock. HABs are not typically listed as contaminants (or stressors) of potential concern in ecological or human health risk assessments. Chemicals are the usual suspects, for example, in agricultural run-off, effluent discharges, sediments, and storm water. We should no longer view the environment narrowly and need to adopt a wider view that includes serious consideration of biological contamination. HABs, in particular, need to be considered routinely in ecological and human health risk assessments involving the aquatic environment. More research is needed to better understand how and why HABs occur and to identify the relationships between physical and chemical conditions and biological interactions. There is evidence, for example, that selective feeding by zooplankton on nontoxic algae may be a mechanism facilitating the formation of certain HAB events (Scotti et al. 2015). The effects of HABs on aquatic ecosystem function and services should be included in assessments of coastal and freshwater environmental management planning, with emphasis on reducing their occurrence, intensity, and ecological impacts. There is ample evidence indicating that HABs are becoming a significant global environmental problem. The time has come to afford this biological phenomena its due consideration as a globally persistent and increasingly problematic contaminant of potential concern. Peter M Chapman Senior Editor Integrated Environmental Assessment and Management North Vancouver, British Columbia, Canada
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».