Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
The stranding anomaly as population indicator: the case of Harbour Porpoise Phocoena phocoena in North-Western Europe
Peltier, H.; Baagøe, H.J.; Camphuysen, K.C.J.; Czeck, R.; Dabin, W.; Daniel, P.; Deaville, R.; Haelters, J.; Jauniaux, T.; Jensen, L.F.; Jepson, P.D.; Keijl, G.O.; Siebert, U.; Van Canneyt, O.; Ridoux, V. (2013). The stranding anomaly as population indicator: the case of Harbour Porpoise Phocoena phocoena in North-Western Europe. PLoS One 8(4): 1-14. dx.doi.org/10.1371/journal.pone.0062180
In: PLoS One. Public Library of Science: San Francisco. ISSN 1932-6203; e-ISSN 1932-6203, meer
| |
Auteurs | | Top |
- Peltier, H.
- Baagøe, H.J.
- Camphuysen, K.C.J., meer
- Czeck, R.
- Dabin, W.
|
- Daniel, P.
- Deaville, R.
- Haelters, J., meer
- Jauniaux, T., meer
- Jensen, L.F.
|
- Jepson, P.D.
- Keijl, G.O.
- Siebert, U., meer
- Van Canneyt, O.
- Ridoux, V.
|
Abstract |
Ecological indicators for monitoring strategies are expected to combine three major characteristics: ecological significance, statistical credibility, and cost-effectiveness. Strategies based on stranding networks rank highly in cost-effectiveness, but their ecological significance and statistical credibility are disputed. Our present goal is to improve the value of stranding data as population indicator as part of monitoring strategies by constructing the spatial and temporal null hypothesis for strandings. The null hypothesis is defined as: small cetacean distribution and mortality are uniform in space and constant in time. We used a drift model to map stranding probabilities and predict stranding patterns of cetacean carcasses under H-0 across the North Sea, the Channel and the Bay of Biscay, for the period 1990-2009. As the most common cetacean occurring in this area, we chose the harbour porpoise Phocoena phocoena for our modelling. The difference between these strandings expected under H-0 and observed strandings is defined as the stranding anomaly. It constituted the stranding data series corrected for drift conditions. Seasonal decomposition of stranding anomaly suggested that drift conditions did not explain observed seasonal variations of porpoise strandings. Long-term stranding anomalies increased first in the southern North Sea, the Channel and Bay of Biscay coasts, and finally the eastern North Sea. The hypothesis of changes in porpoise distribution was consistent with local visual surveys, mostly SCANS surveys (1994 and 2005). This new indicator could be applied to cetacean populations across the world and more widely to marine megafauna. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.