Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 419082
Title Simulating population recovery of an aquatic isopod: Effects of timing of stress and landscape structure
Author(s) Galic, N.G.; Baveco, J.M.; Hengeveld, G.M.; Thorbek, P.; Bruns, E.; Brink, P.J. van den
Source Environmental Pollution 163 (2012). - ISSN 0269-7491 - p. 91 - 99.
DOI https://doi.org/10.1016/j.envpol.2011.12.024
Department(s) Alterra - Centre for Water and Climate
Aquatic Ecology and Water Quality Management
CL - Ecological Models and Monitoring
CE - Forest Ecosystems
CWC - Environmental Risk Assessment
PE&RC
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) asellus-aquaticus - life-history - disturbance regimes - ecological theory - lotic ecosystems - headwater stream - risk-assessment - growth - water - colonization
Abstract In agroecosystems, organisms may regularly be exposed to anthropogenic stressors, e.g. pesticides. Species' sensitivity to stress depends on toxicity, life-history, and landscape structure. We developed an individual-based model of an isopod, Asellus aquaticus, to explore how timing of stress events affects population dynamics in a seasonal environment. Furthermore, we tested the relevance of habitat connectivity and spatial distribution of stress for the recovery of a local and total population. The simulation results indicated that population recovery is mainly driven by reproductive periods. Furthermore, high habitat connectivity led to faster recovery both for local and total populations. However, effects of landscape structure disappeared for homogeneously stressed populations, where local survivors increased recovery rate. Finally, local populations recovered faster, implying that assessing recovery in the field needs careful consideration of spatial scale for sampling. We emphasize the need for a coherent definition of recovery for more relevant ecosystem risk assessment and management
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