UNIVERSITE HASSAN II DE CASABLANCA. FACULTE DES SCIENCES. AIN CHOCK. ANNEE UNIVERSITAIRE: / SEMESTRE: S1. FILIERE: SMIA . Liste provisoire des inscrits dans la Filière SMIA (semestre S1) A et B VAL I VAL I I I I I VAL Analyse I I I I I I I I I I I I I I I I I I I I I I I I I I I I I VAL I I I I I I I I I I I Algèbre . PLANNING SEANCES D’EXAMEN DE TRAVAUX PRATIQUES. Etudiants SVT- S1. MODULE M2 Histologie– EmbryologieSVT-S1. Etudiants SVT-S1. TP Virtuels .
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Given that greater activity patterns of grey reef sharks during twilight and night hours are thought to be related to foraging behaviour it seems likely that the use of deeper waters during the full moon could be a response to equivalent changes in distribution patterns of their prey. Exploring technologically, temporally and geographically-sensitive life cycle inventories for wind turbines: Shaker Verlag, Aachen, Germany, 2, pp.
Environmental Impact Assessment ReviewElsevier,52, pp. Daily pattern of vertical movements by grey reef sharks in Palau. Our array of receivers operated continuously during the period of study however, due to technical issues, the receivers from the Blue Corner Incoming and Blue Corner Outgoing sites Figure 1 were not operational from April to November and March to Aprilrespectively Figure S1.
Isabelle BLANC Professeur at MINES ParisTech, PSL Research University
Graphs describe the Detection efficiency top and Rejection coefficient bottom of receivers in the northern left and southern area right of the study site. Presses des Mines, pp.
Drebszok, Artur Wyrwa, Isabelle Blanc. Hight BV, Lowe CG Elevated body temperatures of adult female leopard sharks, Triakis semifasciata, while aggregating in shallow nearshore embayments: Sharks attained greatest mean depths at midday when sunlight penetrates the water column with minimal reflection and they descended or ascended during the morning and afternoon when reflection at the water surface was greatest.
Attendance time was typically short as most sharks were detected at their non-residency areas for a maximum of four hours. Acoustic array and shark tagging We used acoustic receivers VR2w, Vemco to monitor the anzlyse of tagged sharks at five aggregation sites.
Cyclical patterns of movement in response to environmental variables might affect the susceptibility of reef sharks to fishing, a consideration that should be taken into account in the implementation of conservation strategies. Ajalyse Mean hourly depth of grey reef sharks combined.
Loss of Life Expectancy related to temporal evolution of PM2. We would also like to thank Cyprien Bosserelle and Yuval Berger for support with the analysis.
A parameterized model for Denmark. An additional possibility is that such variation in site fidelity could also be related to the life history traits for example, sex and maturity of the tagged animals.
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We also observed a drastic decrease of the detection coefficient of the receivers within m, which indicates a relatively short range of detections. This tagging procedure typically required less than ten minutes from the moment the shark was caught to the moment it was released.
Directions of work or proceedings 1 document Isabelle Blanc. Vertical movement and environmental influences Grey reef sharks displayed diel patterns of vertical movements. Contrastingly, the mean depth of sharks during the day did not differ with lunar phase, remaining between 45—50 m Table 5.
Model with best fit highlighted bold. Instantaneous records of shark attendance were aggregated into hourly estimates using a subset function in R  that selected values from the data record for each shark. Gilles Lefebvre, Isabelle Blanc. Sharing Environmental Knowledgep.
Environmental impact for offshore wind farms: Extended Abstracts, part II – page 70, Environmental Smiaa of Fishes We used hourly and daily attendance as metrics to describe the general patterns of site fidelity of sharks at deployment sites of receivers. Life cycle assessment of prospective energy scenarios for in an insular context: To estimate levels of biotic and abiotic interference in detection probabilities we deployed a control tag on the reef wall in the southern area for a period of days.
All individuals in both areas showed strong 24 hour cycles in detection frequency Figure 3.