EconPapers    
Economics at your fingertips  
 

A contribution to the identification of representative vulnerable fish species for pesticide risk assessment in Europe—A comparison of population resilience using matrix models

Lara Ibrahim, Thomas G. Preuss, Andreas Schaeffer and Udo Hommen

Ecological Modelling, 2014, vol. 280, issue C, 65-75

Abstract: The population vulnerability of a species to pesticides is determined by the risk of its exposure to the pollutant, its sensitivity to the toxicant and the potential to sustain its populations if adversely affected (population resilience). This study uses population modelling to link the life cycle traits of a set of fish species which are highly susceptible to pesticide exposure, to their population resilience as a contribution to the needed identification of representative vulnerable species for higher-tier ecological risk assessment (ERA) of pesticides in Europe. Leslie matrix models for 21 species were parametrized using data from literature on field populations whose resilience was assessed. Phoxinus phoxinus was identified as the species with the least resilient populations for effects on fertility, Lampetra planeri for effects on juvenile survival and Esox lucius for effects on adult survival. Combining the measured effects from standard fish bio-tests with population models of these species would result in an ecologically relevant and protective risk assessment for field conditions in Europe.

Keywords: Ecological risk assessment; Plant protection products; Streams; Ditches; Ponds; Population resilience (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380013003827
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:280:y:2014:i:c:p:65-75

DOI: 10.1016/j.ecolmodel.2013.08.001

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecomod:v:280:y:2014:i:c:p:65-75