001     34948
005     20180210131221.0
024 7 _ |2 DOI
|a 10.1016/S0304-3800(03)00246-1
024 7 _ |2 WOS
|a WOS:000187461000028
037 _ _ |a PreJuSER-34948
041 _ _ |a eng
082 _ _ |a 570
084 _ _ |2 WoS
|a Ecology
100 1 _ |a Matsinos, Y. G.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a An individual-oriented model for ecological risk assessment of wading birds
260 _ _ |a Amsterdam [u.a.]
|b Elsevier Science
|c 2003
300 _ _ |a 471 - 478
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
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|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Ecological Modelling
|x 0304-3800
|0 11081
|v 170
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a The contribution of certain contaminants to reproductive failure in many avian species has been an ongoing concern. Appropriate quantitative techniques have focused either on the individual organisms by providing explicit bioaccumulation dynamics or on whole ecosystems by looking at the fate of the contaminant but fail to make the necessary link via population dynamics of interacting individuals. We used the individual-oriented approach in an effort to quantify effects of chronic contaminant exposure on individual birds. This was made possible by the use of an object-oriented model, where individual birds are interacting objects, and their actions are implemented by passing to them appropriate messages. Using this modeling approach a breeding colony of Great Blue Herons (Ardea herodias) is simulated as an assemblage of interacting individuals whose daily actions (foraging, growth, feeding of the young) are simultaneously followed over short time intervals for a nesting season. Spatial distribution of the contaminants in prey resources is used on a cell by cell basis and their effects on certain behavior characteristics of adult birds (e.g. foraging efficiency, effects on flying efficiency, parental care) are taken into account. Results showed that sublethal effects could have a considerable effect on colony success. Appropriate selection of endpoints for risk assessment yields a variety of scenarios for colony success. (C) 2003 Elsevier B.V. All rights reserved.
536 _ _ |a Chemie und Dynamik der Geo-Biosphäre
|c U01
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK257
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a ecological risk assessment
653 2 0 |2 Author
|a individual-oriented
653 2 0 |2 Author
|a wading birds
700 1 _ |a Wolff, W. F.
|b 1
|u FZJ
|0 P:(DE-Juel1)129423
773 _ _ |a 10.1016/S0304-3800(03)00246-1
|g Vol. 170, p. 471 - 478
|p 471 - 478
|q 170<471 - 478
|0 PERI:(DE-600)2000879-X
|t Ecological modelling
|v 170
|y 2003
|x 0304-3800
856 7 _ |u http://dx.doi.org/10.1016/S0304-3800(03)00246-1
909 C O |o oai:juser.fz-juelich.de:34948
|p VDB
913 1 _ |k U01
|v Chemie und Dynamik der Geo-Biosphäre
|l Chemie und Dynamik der Geo-Biosphäre
|b Environment (Umwelt)
|0 G:(DE-Juel1)FUEK257
|x 0
914 1 _ |a Nachtrag
|y 2003
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k ICG-III
|l Phytosphäre
|d 31.12.2006
|g ICG
|0 I:(DE-Juel1)VDB49
|x 0
970 _ _ |a VDB:(DE-Juel1)41207
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-2-20101118
981 _ _ |a I:(DE-Juel1)ICG-3-20090406


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