|
|
|
|
|
| Kermorvant, Claire; Caill-milly, Nathalie; D'Amico, Frank; Bru, Noelle; Sanchez, Florence; Lissardy, Muriel; Brown, Jennifer. |
| Bivalves are important components of benthic marine and freshwater ecosystems throughout the world. One of the most exploited bivalves used for human consumption is manila clam (Venerupis philippinarum). In Arcachon Bay (SW France), commercial fishers and scientists have developed a monitoring survey to estimate clam stocks to assist in implementing a sustainable management strategy. The survey design that is currently used is based on standard stratified random sampling (StRS). The survey has been undertaken every 2 years since 2006. Each survey costs approximately (sic) 50 000, with funding provided by similar to 20% of the commercial fishers. The survey is quite expensive, given that this resource is managed mostly at a regional level. In 2016 for... |
| Tipo: Text |
Palavras-chave: Venerupis philippinarum; Bivalve; Simulation; Survey; Arcachon Bay; GRTS. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00410/52102/52808.pdf |
| |
|
|
| Kermorvant, Claire; D’amico, Frank; Bru, Noëlle; Caill-milly, Nathalie; Robertson, Blair. |
| Some environmental studies use non-probabilistic sampling designs to draw samples from spatially distributed populations. Unfortunately, these samples can be difficult to analyse statistically and can give biased estimates of population characteristics. Spatially balanced sampling designs are probabilistic designs that spread the sampling effort evenly over the resource. These designs are particularly useful for environmental sampling because they produce good-sample coverage over the resource, they have precise design-based estimators and they can potentially reduce the sampling cost. The most popular spatially balanced design is Generalized Random Tessellation Stratified (GRTS), which has many desirable features including a spatially balanced sample,... |
| Tipo: Text |
Palavras-chave: BAS; GRTS; LPM; Probabilistic sampling; Spatially balanced. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62063/66268.pdf |
| |
|
|
|
