|
|
|
|
|
| Vergnon, Rémi; Blanchard, Fabian. |
| The necessity to move from a traditional fishery management to an ecosystem approach is now acknowledged. Indicators are required to support the development of this approach. For example, community indicators have been proposed to assess the impact of fishing. We tested here the applicability of one such community indicator, the abundance-biomass comparison (ABC method), as a measure of the impact of bottom trawling (years of sampling: 2001 and 2003) on the benthic invertebrates-typically starfishes, crabs, squat lobsters, shrimps and large hard-shelled molluscs-of "Grande Vasiere", a major French fishing zone, in the Bay of Biscay. The ABC method is generally used as an impact indicator for different types of physical, biological and anthropogenic... |
| Tipo: Text |
Palavras-chave: Atlantic Ocean; Inter annual variability; Density; Macrobenthos; ABC method; Fishing impact; Indicator; Bottom trawl survey. |
| Ano: 2006 |
URL: http://archimer.ifremer.fr/doc/2006/publication-2133.pdf |
| |
|
|
| Lupo, Coralie; Travers, Marie-agnes; Tourbiez, Delphine; Barthélémy, Clement; Beaunée, Gaël; Ezanno, Pauline. |
| Vibrio aestuarianus is a bacterium related to mortality outbreaks in Pacific oysters, Crassostrea gigas, in France, Ireland, and Scotland since 2011. Knowledge about its transmission dynamics is still lacking, impairing guidance to prevent and control the related disease spread. Mathematical modeling is a relevant approach to better understand the determinants of a disease and predict its dynamics in imperfectly observed pathosystems. We developed here the first marine epidemiological model to estimate the key parameters of V. aestuarianus infection at a local scale in a small and closed oyster population under controlled laboratory conditions. Using a compartmental model accounting for free-living bacteria in seawater, we predicted the infection dynamics... |
| Tipo: Text |
Palavras-chave: Marine epidemiology; Parameter estimation; Compartmental model; ABC method; Global sensitivity analysis; Basic reproduction number R-0; Crassostrea gigas; Oyster mortality. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00495/60652/64148.pdf |
| |
|
|
|
