An Integrated Framework to Estimate Seabird Population Numbers and Trends

Author:

Mercker Moritz1ORCID,Markones Nele2,Borkenhagen Kai2,Schwemmer Henriette2,Wahl Johannes3,Garthe Stefan2

Affiliation:

1. Bionum GmbH—Consultants in Ecological Statistics Finkenwerder Norderdeich 15 A 21129 Hamburg Germany

2. Research and Technology Centre (FTZ) University of Kiel Hafentörn 1 25761 Büsum Germany

3. Dachverband Deutscher Avifaunisten (DDA) e.V., An den Speichern 6 48157 Münster Germany

Funder

Bundesministerium für Umwelt, Naturschutz und nukleare Sicherheit

Bundesamt für Naturschutz

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics,Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference91 articles.

1. Model Based Inference in the Life Sciences: A Primer on Evidence

2. Aunins A.2015. Guidelines for coordinated cost‐effective future monitoring of marine wintering birds. . Accessed 1 Jul 2019.

3. Reducing the uncertainty of wildlife population abundance: model-based versus design-based estimates

4. Bengtsson H.2017. matrixStats: functions that apply to rows and columns of matrices (and to vectors). R package version 0.52.2. . Accessed 3 Jan 2019.

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