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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 |
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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 |
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Caill-milly, Nathalie; De Casamajor, Marie-noelle; Bru, Noelle; D'Amico, Franck; Lalanne, Yann; Huguenin, Laura; Kermorvant, Claire; Sanchez, Florence; Lissardy, Muriel; Abadie, Stephane; Maron, Philippe; Maillet, Grégoire; Regard, Vincent; Pigot, Thierry. |
Descartes 2 propose la mise au point et l'optimisation de protocoles d'échantillonnage qualifiant les biocénoses marines et des ressources halieutiques d'intérêt régional sur deux types de milieux aquitains : la côte basque rocheuse et le bassin d'Arcachon. Tester et définir des méthodes d'échantillonnage fiables, applicables en routine et transférables, requièrent une phase de recherche impliquant des compétences en mathématiques, hydrodynamique, sciences du vivant. Le projet contribuera ainsi, par des actions scientifiques, à l'amélioration des politiques publiques pour la gestion du milieu marin, y compris sur des problématiques transfrontalières. Par ailleurs le projet Descartes 2 vise à contribuer au renforcement durable du partenariat... |
Tipo: Text |
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Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00359/47065/46968.pdf |
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Kermorvant, Claire; Caill-milly, Nathalie; Bru, Nooelle; D'Amico, Franck. |
Funding lake is one major issue in ecology, in particular at local scale. It is known that sustainable management of a natural population requires a good understanding of its functioning, itself dependent on a good long term monitoring program. Such programs are usually very difficult to implement, especially for resources characterized by high spatio-temporal variation in their distribution, resulting in a trade off between efficiency and costs. Today, thanks to rapidly evolving statistical theory, new survey designs are developed, some with the characteristic of well balancing samples in the study area. This paper aims at demonstrating that theses advanced sampling designs perform better than the usual ones for long term monitoring program of local... |
Tipo: Text |
Palavras-chave: Arcachon bay; Balanced acceptance sampling; Spatial sampling; Spatial variation; Temporal variation; Virtual ecology. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00469/58064/60460.pdf |
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