2024-03-29T06:28:59+01:00
https://library.wur.nl/oai
oai:library.wur.nl:wurpubs/410857
2024-03-09
urn:nbn:nl:ui:32-410857
2024-03-09
urn:nbn:nl:ui:32-410857/mods
The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems
Galic
N.G.
343064413
0000-0002-4344-3464
0000000396433750
aut
Schmolke
A.
aut
Forbes
V.
aut
Baveco
J.M.
073443972
0000-0003-0912-1290
0000000395315365
aut
van den Brink
P.J.
126862214
0000-0002-7241-4347
0000000398609633
aut
text
info:eu-repo/semantics/article
2012
10.1016/j.scitotenv.2011.05.065
84855845468
000300388700011
en
Agricultural practices are essential for sustaining the human population, but at the same time they can directly disrupt ecosystem functioning. Ecological risk assessment (ERA) aims to estimate possible adverse effects of human activities on ecosystems and their parts. Current ERA practices, however, incorporate very little ecology and base the risk estimates on the results of standard tests with several standard species. The main obstacles for a more ecologically relevant ERA are the lack of clear protection goals and the inherent complexity of ecosystems that is hard to approach empirically. In this paper, we argue that the ecosystem services framework offers an opportunity to define clear and ecologically relevant protection goals. At the same time, ecological models provide the tools to address ecological complexity to the degree needed to link measurement endpoints and ecosystem services, and to quantify service provision and possible adverse effects from human activities. We focus on the ecosystem services relevant for agroecosystem functioning, including pollination, biocontrol and eutrophication effects and present modeling studies relevant for quantification of each of the services. The challenges of the ecosystem services approach are discussed as well as the limitations of ecological models in the context of ERA. A broad, multi-stakeholder dialog is necessary to aid the definition of protection goals in terms of services delivered by ecosystems and their parts. The need to capture spatio-temporal dynamics and possible interactions among service providers pose challenges for ecological models as a basis for decision making. However, we argue that both fields are advancing quickly and can prove very valuable in achieving more ecologically relevant ERA.
Wageningen Environmental Research
WIMEK
CWC - Environmental Risk Assessment
CL - Ecological Models and Monitoring
Aquatic Ecology and Water Quality Management
biomanipulation
chemicals
decision-making
economic value
honeybee
land-use
population-dynamics
potential application
shallow lakes
wildlife
Wageningen Environmental Research
WIMEK
CWK - Environmental Risk Assessment
CL - Ecologische Modellen en Monitoring
Aquatische Ecologie en Waterkwaliteitsbeheer
Science of the Total Environment
415
93
100
00489697
urn:nbn:nl:ui:32-410857/obj
2024-03-09
http://purl.org/eprint/accessRights/RestrictedAccess