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This article has been cited by other articles in PMC. Meekan1 Jessica J. Model with best fit highlighted bold. Coral Reef Research Foundation, Palau. Table 5 Generalised Linear Analysw ranking results of the average depth of tagged grey reef sharks with depth sensors in response variable versus the effect of lunar phase Moon and water temperature at 57 metres Temperature. For example, pelagic species including swordfish Xiphias gladiusyellowfin Thunnus albacares and big eye T.

We recorded the sex, measured the total length L T and surgically implanted an acoustic transmitter into the peritoneal cavity of each shark [23]. She is a founding member of the EcoSD Network, qnalyse main goal is to promote exchanges anayse researchers and industry, in order to create and disseminate knowledge in the field of Eco-design Systems for Sustainable Development in France.

CV HAL : Isabelle BLANC Professeur at MINES ParisTech, PSL Research University

Regionalisation of Life Cycle Thinking: Once caught, sharks were brought alongside the analsye and restrained within a canvas stretcher, which was then lifted onboard.

We also used circular regression to identify patterns of depth usage in relation to diel cycles. The increase in collisions of tag transmissions as a consequence of more tags in the water increased the rejection coefficient of the receivers, however we noticed no obvious effects in attendance of sharks that could be attributed to this event.

Rasmussen O, Giske J Life-history parameters and vertical distribution of Maurolicus muelleri in Masfjorden in summer. Overall, there was a tendency for the sharks to use shallower waters during the night Figure 7.

Isabelle BLANC Professeur at MINES ParisTech, PSL Research University

Dagorn L, Bach P, Josse E Movement patterns of large bigeye tuna Thunnus obesus in the open ocean, determined using ultrasonic telemetry. Environmental Biology of Fishes The authors have declared that no competing interests exist. We moored receivers at depths between 25 and 40 m on the reef wall or slope and downloaded data from them at one to eight month intervals.


Our results are consistent with those of Field et al. Conceived and designed the experiments: International Building Performance Simulation Association, pp.

Improvement of regional sustainability: A new technique for thermal modelling of building: We also found significant differences in the mean daily detection frequencies per month for all sharks Table 3indicating that although sharks visited the monitored areas regularly through the year, there was a degree of seasonality, with a higher detection frequencies recorded mainly during summer June to September and lower detection frequencies in winter and spring January to April Figure 4.

L T indicates total length of individual. We quantified differences in site preferences by calculating the standardised daily attendance as the percentage of sharks tagged in each area attending each receiver on each day.

Sharing Environmental Knowledgep. Analyse du cycle de vie: At night, the mean depth inhabited by grey reef sharks increased through the lunar cycle, so that the greatest depths coincided with the full moon.

While these studies have contributed to our understanding of the habitat preferences of sharks in reef ecosystems, there is an almost complete lack of equivalent data on the movements of reef sharks in the vertical plane of the water column. We used acoustic telemetry to describe patterns of spatial and temporal use of aggregation sites by grey reef sharks over multiple years.

Some coastal sharks also display evidence of lunar influences on depth distributions. GHG variability assessment for onshore wind electricity based on Monte-Carlo simulations.

More individuals were detected during the day than at night. Please review our privacy policy. Crepuscular patterns of vertical movement associated with foraging behaviour are common in many pelagic sharks including shortfin mako, big eye thresher Alopias superciliosusschool Galeorhinus galeus and megamouth Megachasma pelagicos sharks [14][43][44][45].

She is the author of about publications in cooperation with numerous international research institutes. Towards Prospective Life Cycle Assessment: Colin and the personnel involved in the shark tagging and receiver downloading, in particular: Our study location was the edge of the main island platform that consists of a large shallow-water lagoon arrayed with small, uplifted limestone islands and a large volcanic island, all of which are enclosed by a km barrier reef [22].

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We would also like to thank Cyprien Bosserelle and Yuval Berger for support with the analysis. Previous studies of receiver performance indicate that detection ranges in coral reefs environments tend to be low in the order of a few tens of metres due to the structural complexity of the habitat [54].

Due to the autocorrelation inherent in the data, the assumption of temporal independence was violated [34] ; we addressed this violation by using a matched-block sampling with replacement technique [35][36].

Briefly, this method sub-samples and replaces optimum block lengths from the dataset that maintain some of the autocorrelation structure. We also used GLMs to establish the relationship between shark attendance and environmental variables within each area.

A focus on offshore wind farms in Northern Europe. Energy and buildings for temperate climates: Acoustic array and shark xmia We used acoustic receivers VR2w, Vemco to monitor the attendance of anxlyse sharks at five aggregation sites.

An opposite pattern occurred in the afternoon with sharks gradually ascending until dusk.

This tagging procedure typically required less than ten minutes from the moment the shark was caught to the moment it was released. Despite such problems, the very high number of detections 2.

The mean minimum linear distance of movements of these animals was Although there was little change in water temperature from August to December, sharks tended to occupy shallower habitats mean 45 m depth at this time.

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