2023
Book Sections
1.
Mutsert, Kim; Coll, Marta; Steenbeek, Jeroen; Ainsworth, Cameron; Buszowski, Joe; Chagaris, David; Christensen, Villy; Heymans, Sheila J. J.; Lewis, Kristy A.; Libralato, Simone; Oldford, Greig; Piroddi, Chiara; Romagnoni, Giovanni; Serpetti, Natalia; Spence, Michael A.; Walters, Carl
Advances in Spatial-temporal Coastal and Marine Ecosystem Modeling Using Ecospace. Book Section
In: Reference Module in Earth Systems and Environmental Sciences, Elsevier, 2023, ISBN: 978-0-12-409548-9.
Abstract | Links | BibTeX | Tags: Aquatic, Coastal restoration, Ecological modeling, Ecopath with Ecosim, Ecospace, Ecosystem-based management, Ecosystems, Environmental impact, Fish ecology, fisheries, food webs, Marine, Policy, Spatial temporal modeling
@incollection{demutsertAdvancesSpatialTemporal2023,
title = {Advances in Spatial-temporal Coastal and Marine Ecosystem Modeling Using Ecospace.},
author = {Kim Mutsert and Marta Coll and Jeroen Steenbeek and Cameron Ainsworth and Joe Buszowski and David Chagaris and Villy Christensen and Sheila J. J. Heymans and Kristy A. Lewis and Simone Libralato and Greig Oldford and Chiara Piroddi and Giovanni Romagnoni and Natalia Serpetti and Michael A. Spence and Carl Walters},
doi = {10.1016/B978-0-323-90798-9.00035-4},
isbn = {978-0-12-409548-9},
year = {2023},
date = {2023-01-01},
urldate = {2023-06-20},
booktitle = {Reference Module in Earth Systems and Environmental Sciences},
publisher = {Elsevier},
abstract = {The advancement of ecosystem-based management of aquatic ecosystems should no longer be limited by a lack of tools. However, a lack of comprehensive understanding of the capabilities of existing tools can form a barrier for uptake. With this chapter, we strive to more fully describe one of these tools, the spatial-temporal ecosystem model Ecospace, which is part of the Ecopath with Ecosim (EwE) ecosystem modeling approach and software. Changes and developments in Ecospace have been faster than documented in recent years. Many features of Ecospace, including the most recent that have not been described before, are detailed in this chapter. The applications highlighted showcase the multitude of uses of the spatial application of EwE, which, especially due to expansion of the capabilities to incorporate the effects of environmental change, has facilitated its use outside of fisheries management to protection of biodiversity, ecosystem restoration and environmental impact assessment. New applications of Ecospace can truly contribute to advance modeling of cumulative impacts and management alternatives in marine ecosystems, and can be of interest to inform sectoral and intersectoral policy.},
keywords = {Aquatic, Coastal restoration, Ecological modeling, Ecopath with Ecosim, Ecospace, Ecosystem-based management, Ecosystems, Environmental impact, Fish ecology, fisheries, food webs, Marine, Policy, Spatial temporal modeling},
pubstate = {published},
tppubtype = {incollection}
}
The advancement of ecosystem-based management of aquatic ecosystems should no longer be limited by a lack of tools. However, a lack of comprehensive understanding of the capabilities of existing tools can form a barrier for uptake. With this chapter, we strive to more fully describe one of these tools, the spatial-temporal ecosystem model Ecospace, which is part of the Ecopath with Ecosim (EwE) ecosystem modeling approach and software. Changes and developments in Ecospace have been faster than documented in recent years. Many features of Ecospace, including the most recent that have not been described before, are detailed in this chapter. The applications highlighted showcase the multitude of uses of the spatial application of EwE, which, especially due to expansion of the capabilities to incorporate the effects of environmental change, has facilitated its use outside of fisheries management to protection of biodiversity, ecosystem restoration and environmental impact assessment. New applications of Ecospace can truly contribute to advance modeling of cumulative impacts and management alternatives in marine ecosystems, and can be of interest to inform sectoral and intersectoral policy.
2021
Journal Articles
2.
Horn, S.; Coll, M.; Asmus, H.; Dolch, T.
Food web models reveal potential ecosystem effects of seagrass recovery in the northern Wadden Sea Journal Article
In: Restoration Ecology, vol. 29, no. S2, pp. e13328, 2021, ISSN: 1526-100X, (_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/rec.13328).
Links | BibTeX | Tags: Ecopath with Ecosim, ecosystem services, food webs, seagrass recovery, Wadden Sea, Zostera
@article{horn_food_2021,
title = {Food web models reveal potential ecosystem effects of seagrass recovery in the northern Wadden Sea},
author = {S. Horn and M. Coll and H. Asmus and T. Dolch},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/rec.13328},
doi = {10.1111/rec.13328},
issn = {1526-100X},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Restoration Ecology},
volume = {29},
number = {S2},
pages = {e13328},
note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/rec.13328},
keywords = {Ecopath with Ecosim, ecosystem services, food webs, seagrass recovery, Wadden Sea, Zostera},
pubstate = {published},
tppubtype = {article}
}
3.
Horn, Sabine; Coll, Marta; Asmus, Harald; Dolch, Tobias
Food Web Models Reveal Potential Ecosystem Effects of Seagrass Recovery in the Northern Wadden Sea Journal Article
In: Restoration Ecology, vol. 29, no. S2, pp. e13328, 2021, ISSN: 1526-100X.
Abstract | Links | BibTeX | Tags: Ecopath with Ecosim, ecosystem services, food webs, seagrass recovery, Wadden Sea, Zostera
@article{hornFoodWebModels2021,
title = {Food Web Models Reveal Potential Ecosystem Effects of Seagrass Recovery in the Northern Wadden Sea},
author = {Sabine Horn and Marta Coll and Harald Asmus and Tobias Dolch},
doi = {10.1111/rec.13328},
issn = {1526-100X},
year = {2021},
date = {2021-01-01},
urldate = {2021-08-19},
journal = {Restoration Ecology},
volume = {29},
number = {S2},
pages = {e13328},
abstract = {In contrast to the global trend, seagrass beds have recovered in size and density in the northern part of the European Wadden Sea, but ecosystem effects of seagrass recovery and the impacts to ecosystem services are largely unknown. We used temporal-dynamic food web modeling Ecopath with Ecosim to assess potential ecosystem effects of seagrass recovery in the semi-enclosed Sylt-R\om\o Bight at the German-Danish border. In addition to changes in the system's structure and functioning over time, the model predicted changes in biomass of seagrass-associated species. For seagrass consumers, we projected an increase in biomass as a result of an increase in food supply. Likewise, the model predicted an increase in biomass of seagrass meadow inhabitants from decreased predation pressure. Correspondingly, the main predators of these inhabitants decreased in biomass according to model results. Proxies representing ecosystem services predicted an increase of tourism appeal of the site with increasing seagrass meadows. Indirect mediation effects of seagrass severely influenced the model output and are thus crucial to forecast potential effects of the recovery of habitat-forming species. Our study illustrates that holistic approaches such as food web models could provide a suitable basis for predicting ecosystem effects of changes in the biomass of habitat-forming species such as seagrasses.},
keywords = {Ecopath with Ecosim, ecosystem services, food webs, seagrass recovery, Wadden Sea, Zostera},
pubstate = {published},
tppubtype = {article}
}
In contrast to the global trend, seagrass beds have recovered in size and density in the northern part of the European Wadden Sea, but ecosystem effects of seagrass recovery and the impacts to ecosystem services are largely unknown. We used temporal-dynamic food web modeling Ecopath with Ecosim to assess potential ecosystem effects of seagrass recovery in the semi-enclosed Sylt-Rømø Bight at the German-Danish border. In addition to changes in the system's structure and functioning over time, the model predicted changes in biomass of seagrass-associated species. For seagrass consumers, we projected an increase in biomass as a result of an increase in food supply. Likewise, the model predicted an increase in biomass of seagrass meadow inhabitants from decreased predation pressure. Correspondingly, the main predators of these inhabitants decreased in biomass according to model results. Proxies representing ecosystem services predicted an increase of tourism appeal of the site with increasing seagrass meadows. Indirect mediation effects of seagrass severely influenced the model output and are thus crucial to forecast potential effects of the recovery of habitat-forming species. Our study illustrates that holistic approaches such as food web models could provide a suitable basis for predicting ecosystem effects of changes in the biomass of habitat-forming species such as seagrasses.
Contact
Ecopath International Initiative
Barcelona, Spain
PIC 958090341
info@ecopathinternational.org
Ecopath International Initiative is a not-for-profit research organization
Photo credits
© Marta Coll
© Jeroen Steenbeek
© Jeroen Steenbeek