@article{stock_exploring_2023,

title = {Exploring multiple stressor effects with Ecopath, Ecosim, and Ecospace: Research designs, modeling techniques, and future directions},

author = {Andy Stock and Cathryn C. Murray and Edward J Gregr and Jeroen Steenbeek and Emie Woodburn and Fiorenza Micheli and Villy Christensen and Kai M. A. Chan},

url = {https://osf.io/rfghy},

doi = {10.1016/j.scitotenv.2023.161719},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-17},

abstract = {Understanding the cumulative effects of multiple stressors is a research priority in environmental science. Ecological models are a key component of tackling this challenge because they can simulate interactions between the components of an ecosystem. Here, we ask, how has the popular modeling platform Ecopath with Ecosim (EwE) been used to model human impacts related to climate change, land and sea use, pollution, and invasive species? We conducted a literature review encompassing 166 studies covering stressors other than fishing mostly in aquatic ecosystems. The most modeled stressors were physical climate change (60 studies), species introductions (22), habitat loss (21), and eutrophication (20), using a range of modeling techniques. Despite this comprehensive coverage, we identified four gaps that must be filled to harness the potential of EwE for studying multiple stressor effects. First, only 12% of studies investigated three or more stressors, with most studies focusing on single stressors. Furthermore, many studies modeled only one of many pathways through which each stressor is known to affect ecosystems. Second, various methods have been applied to define environmental response functions representing the effects of single stressors on species groups. These functions can have a large effect on the simulated ecological changes, but best practices for deriving them are yet to emerge. Third, human dimensions of environmental change \textendash except for fisheries \textendash were rarely considered. Fourth, only 3% of studies used statistical research designs that allow attribution of simulated ecosystem changes to stressors’ direct effects and interactions, such as factorial (computational) experiments. None made full use of the statistical possibilities that arise when simulations can be repeated many times with controlled changes to the inputs. We argue that all four gaps are feasibly filled by integrating ecological modeling with advances in other subfields of environmental science and in computational statistics.},

keywords = {Cumulative effects assessment, Cumulative impact assessment, Ecospace},

pubstate = {published},

tppubtype = {article}

}

@article{depellegrin_current_2021,

title = {Current status, advancements and development needs of geospatial decision support tools for marine spatial planning in European seas},

author = {D. Depellegrin and H. Sten Hansen and L. Schr\oder and L. Bergstr\"{o}m and G. Romagnoni and J. Steenbeek and M. Gon\c{c}alves and G. Carneiro and L, Hammar and J. Pr{a}lsson and J. Schmidtbauer Crona and D. Hume and J. Kotta and M. Fetissov and A. Milo\v{s} and J. Kaitaranta and S. Menegon},

url = {https://www.sciencedirect.com/science/article/pii/S0964569121001289},

doi = {10.1016/j.ocecoaman.2021.105644},

issn = {0964-5691},

year  = {2021},

date = {2021-08-01},

urldate = {2021-08-01},

journal = {Ocean \& Coastal Management},

volume = {209},

pages = {105644},

keywords = {Cumulative effects assessment, Decision support instruments, Ecosystem-based management, Geospatial tools, Maritime spatial planning},

pubstate = {published},

tppubtype = {article}

}

@article{depellegrinCurrentStatusAdvancements2021,

title = {Current Status, Advancements and Development Needs of Geospatial Decision Support Tools for Marine Spatial Planning in European Seas},

author = {Daniel Depellegrin and Henning Sten Hansen and Lise Schr\oder and Lena Bergstr\"{o}m and Giovanni Romagnoni and Jeroen Steenbeek and Magali Gon\c{c}alves and Gon\c{c}alo Carneiro and Linus Hammar and Jonas Pr{a}lsson and Jan Schmidtbauer Crona and Duncan Hume and Jonne Kotta and Mihhail Fetissov and And\v{z}ej Milo\v{s} and Joni Kaitaranta and Stefano Menegon},

doi = {10.1016/j.ocecoaman.2021.105644},

issn = {0964-5691},

year  = {2021},

date = {2021-08-01},

urldate = {2021-05-15},

journal = {Ocean \& Coastal Management},

volume = {209},

pages = {105644},

abstract = {The implementation of marine spatial plans as required by the Directive on Maritime Spatial Planning (MSP) of the European Union (EU) poses novel demands for the development of decision support tools (DST). One fundamental aspect is the need for tools to guide decisions about the allocation of human activities at sea in ways that are ecosystem-based and lead to sustainable use of resources. The MSP Directive was the main driver behind the development of spatial and non-spatial DSTs for the analysis of marine and coastal areas across European seas. In this research we develop an analytical framework designed by DST software developers and managers for the analysis of six DSTs supporting MSP in the Baltic Sea, the North Sea, and the Mediterranean Sea. The framework compares the main conceptual, technical and practical aspects, by which these DSTs contribute to advancing the MSP knowledge base and identified future needs for the development of the tools. Results show that all of the studied DSTs include elements to support ecosystem-based management at different geographical scales (from national to macro-regional), relying on cumulative effects assessment and functionalities to facilitate communication at the science-policy interface. Based on our synthesis we propose a set of recommendations for knowledge exchange in relation to further DST developments, mechanisms for sharing experience among the user-developer community, and actions to increase the effectiveness of the DSTs in MSP processes.},

keywords = {Cumulative effects assessment, Decision support instruments, Ecosystem-based management, Geospatial tools, Maritime spatial planning},

pubstate = {published},

tppubtype = {article}

}