Die Herings-Polarstamm-Theorie 250 Jahre alt - und aktuelle Bezüge

250 years ago, in Hamburg a herring polar migration theory was published as part of the "Nachrichten von Island, Grönland und der Straße Davis" from the literary remains of the mayor Dr. Johann Anderson. Based on various sources and capable to answer to the herring questions of the time, this one-stock-migration theory became international hypothesis during the following tenth of years. It still is classified as remarkable because some actual ideas on herring migration were thought already 250 years ago. Abstract DE: In Hamburg wurde vor 250 Jahren eine Polarstamm-Theorie zur Heringswanderung als Teil der Nachrichten von Island, Grönland und der Strasse Davis aus dem Nachlass des Bürgermeisters Dr. Johann Anderson veröffentlicht. Aufbauend auf unterschiedliche Quellen und in der Lage, die damaligen Fragen um den Hering zu beantworten, wurde diese Ein-Stamm-Theorie zur heringswanderung über Jahrzehnte internationale Lehrmeinung. Sie wird auch heute noch als bemerkenswert eingestuft. Denn sie enthielt vor 250 Jahren schon Gedankengänge, die noch aktuell sind.

Applications in adaptive cluster sampling of Gulf of Alaska rockfish

Adaptive cluster sampling (ACS) has been the subject of many publications about sampling aggregated populations. Choosing the criterion value that invokes ACS remains problematic. We address this problem using data from a June 1999 ACS survey for rockfish, specifically for Pacific ocean perch (Sebastes alutus), and for shortraker (S. borealis) and rougheye (S. aleutianus) rockfish combined. Our hypotheses were that ACS would outperform simple random sampling (SRS) for S. alutus and would be more applicable for S. alutus than for S. borealis and S. aleutianus combined because populations of S. alutus are thought to be more aggregated. Three alternatives for choosing a criterion value were investigated. We chose the strategy that yielded the lowest criterion value and simulated the higher criterion values with the data after the survey. Systematic random sampling was conducted across the whole area to determine the lowest criterion value, and then a new systematic random sample was taken with adaptive sampling around each tow that exceeded the fixed criterion value. ACS yielded gains in precision (SE) over SRS. Bootstrapping showed that the distribution of an ACS estimator is approximately normal, whereas the SRS sampling distribution is skewed and bimodal. Simulation showed that a higher criterion value results in substantially less adaptive sampling with little tradeoff in precision. When time-efficiency was examined, ACS quickly added more samples, but sampling edge units caused this efficiency to be lessened, and the gain in efficiency did not measurably affect our conclusions. ACS for S. alutus should be incorporated with a fixed criterion value equal to the top quartile of previously collected survey data. The second hypothesis was confirmed because ACS did not prove to be more effective for S. borealis-S. aleutianus. Overall, our ACS results were not as optimistic as those previously published in the literature, and indicate the need for further study of this sampling method.