Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil). (1st October 2018)
- Record Type:
- Journal Article
- Title:
- Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil). (1st October 2018)
- Main Title:
- Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil)
- Authors:
- Angelini, Ronaldo
Contente, Riguel F.
Rossi-Wongtschowski, Carmem L.D.B.
Soares, Lucy S.H.
Schaeffer-Novelli, Yara
Lopes, Rubens M.
Mancini, Patrícia L.
Coll, Marta
Amaral, Antonia C.Z. - Abstract:
- Abstract: A model-oriented research project can organize and systematize high quality sampling information and convert observed values into information needed to parameterize ecological models. In this paper, we describe the value parameterization process from an interdisciplinary project to the development of a food web model (using Ecopath) in order to comprehend the Araçá Bay ecosystem structure (Brazil) and to forecast the impact of a port expansion (São Sebastião Port) over a bay environment. Araçá Bay Ecopath model has 34 compartments, Phytoplankton, Phytobenthos, Mangrove, Zooplankton, 10 groups of benthos, 13 fish groups, Shrimp, Crabs, Turtles, two bird groups and two groups of Detritus. The model outputs showed that Araçá Bay is a mature and detritus-based ecosystem. It is highly influenced by the role of benthos groups which are responsible for a huge amount of detritus recycling due to their large biomass value. The simulation of port expansion (primary producers' reduction), using the Ecosim module, indicated negative impacts on almost all living groups and an increase in detritus accumulation, leading the entire bay ecosystem towards its collapse (in the short term). The interdisciplinary organized sampling process presented here is an example of how objectively planned sample design and modeling may guide scientists, local people and stakeholders' decisions with valuable integrated information and overall predictions in order to consider the sustainable use ofAbstract: A model-oriented research project can organize and systematize high quality sampling information and convert observed values into information needed to parameterize ecological models. In this paper, we describe the value parameterization process from an interdisciplinary project to the development of a food web model (using Ecopath) in order to comprehend the Araçá Bay ecosystem structure (Brazil) and to forecast the impact of a port expansion (São Sebastião Port) over a bay environment. Araçá Bay Ecopath model has 34 compartments, Phytoplankton, Phytobenthos, Mangrove, Zooplankton, 10 groups of benthos, 13 fish groups, Shrimp, Crabs, Turtles, two bird groups and two groups of Detritus. The model outputs showed that Araçá Bay is a mature and detritus-based ecosystem. It is highly influenced by the role of benthos groups which are responsible for a huge amount of detritus recycling due to their large biomass value. The simulation of port expansion (primary producers' reduction), using the Ecosim module, indicated negative impacts on almost all living groups and an increase in detritus accumulation, leading the entire bay ecosystem towards its collapse (in the short term). The interdisciplinary organized sampling process presented here is an example of how objectively planned sample design and modeling may guide scientists, local people and stakeholders' decisions with valuable integrated information and overall predictions in order to consider the sustainable use of natural areas and resources. Highlights: A model-oriented project allows sampling design to modeling approach. An Ecopath model shows that Araçá Bay is a detritus-based ecosystem. Benthos groups are responsible for a huge amount of detritus recycling. Expansion of the Araçá Bay port is will cause ecosystem collapse. … (more)
- Is Part Of:
- Ocean & coastal management. Volume 164(2018)
- Journal:
- Ocean & coastal management
- Issue:
- Volume 164(2018)
- Issue Display:
- Volume 164, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 164
- Issue:
- 2018
- Issue Sort Value:
- 2018-0164-2018-0000
- Page Start:
- 92
- Page End:
- 103
- Publication Date:
- 2018-10-01
- Subjects:
- Marine resources -- Management -- Periodicals
Coastal zone management -- Periodicals
Coastal ecology -- Periodicals
Ressources marines -- Périodiques
Littoral -- Aménagement -- Périodiques
Écologie littorale -- Périodiques
Coastal ecology
Coastal zone management
Marine resources -- Management
Periodicals
Electronic journals
551.46 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09645691 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ocecoaman.2018.02.007 ↗
- Languages:
- English
- ISSNs:
- 0964-5691
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.271920
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7943.xml