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You searched for: Journal Ecological modelling Remove constraint Journal: Ecological modelling Subject population size Remove constraint Subject: population size Subject Anser Remove constraint Subject: Anser Text Availability Citation in PubAg Remove constraint Text Availability: Citation in PubAg
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1. Using integrated population models for insights into monitoring programs: An application using pink-footed geese

Author:
Johnson, Fred A.; Zimmerman, Guthrie S.; Jensen, Gitte H.; Clausen, Kevin K.; Frederiksen, Morten; Madsen, Jesper
Source:
Ecological modelling 2020 v.415 pp. 108869
ISSN:
0304-3800
Subject:
Anser; breeding; case studies; geese; integrated pest management; models; monitoring; population size; water birds; Norway
Abstract:
... Development of integrated population models (IPMs) assume the absence of systematic bias in monitoring programs, yet many potential sources of systematic bias in monitoring data exist (e.g., under-counts of abundance). By integrating multiple sources of data, we can assess whether various sources of monitoring data provide consistent inferences about changes in population size and, thus, whether m ...
DOI:
10.1016/j.ecolmodel.2019.108869

2. Uncertainty, robustness, and the value of information in managing an expanding Arctic goose population

Author:
Johnson, Fred A.; Jensen, Gitte H.; Madsen, Jesper; Williams, Byron K.
Source:
Ecological modelling 2014 v.273 pp. 186-199
ISSN:
0304-3800
Subject:
Anser; dynamic programming; geese; managers; model uncertainty; models; population dynamics; population size; reproduction; spring; sustainable development; temperature; weather; Arctic region; Western European region
Abstract:
... We explored the application of dynamic-optimization methods to the problem of pink-footed goose (Anser brachyrhynchus) management in western Europe. We were especially concerned with the extent to which uncertainty in population dynamics influenced an optimal management strategy, the gain in management performance that could be expected if uncertainty could be eliminated or reduced, and whether an ...
DOI:
10.1016/j.ecolmodel.2013.10.031