The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Integrated environmental modeling: A vision and roadmap for the future
Abstract
Integrated environmental modeling (IEM) is inspired by modern environmental problems, decisions, and policies and enabled by transdisciplinary science and computer capabilities that allow the environment to be considered in a holistic way. The problems are characterized by the extent of the environmental system involved, dynamic and interdependent nature of stressors and their impacts, diversity of stakeholders, and integration of social, economic, and environmental considerations. IEM provides a science-based structure to develop and organize relevant knowledge and information and apply it to explain, explore, and predict the behavior of environmental systems in response to human and natural sources of stress. During the past several years a number of workshops were held that brought IEM practitioners together to share experiences and discuss future needs and directions. In this paper we organize and present the results of these discussions. IEM is presented as a landscape containing four interdependent elements: applications, science, technology, and community. The elements are described from the perspective of their role in the landscape, current practices, and challenges that must be addressed. Workshop participants envision a global scale IEM community that leverages modern technologies to streamline the movement of science-based knowledge from its sources in research, through its organization into databases and models, to its integration and application for problem solving purposes. Achieving this vision will require that the global community of IEM stakeholders transcend social, and organizational boundaries and pursue greater levels of collaboration. Among the highest priorities for community action are the development of standards for publishing IEM data and models in forms suitable for automated discovery, access, and integration; education of the next generation of environmental stakeholders, with a focus on transdisciplinary research, development, and decision making; and providing a web-based platform for community interactions (e.g., continuous virtual workshops).
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Citations
Cites
Ecosystems and Human Well-being: Synthesis
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Global Sensitivity Analysis. The Primer
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Voinov, A., & Bousquet, F. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.03.007 · Cited by 1,354 · cited 6×
“The challenge is to foster and promote participation in a coordinated manner across the full community, which is often easier said than done (Voinov and Bousquet, 2010).”
BackgroundInfluentialSelf-citation
Cited by
Maier, H. R., Kapelan, Z., Kasprzyk, J., Kollat, J., Matott, L. S., Cunha, M. C., Dandy, G. C., Gibbs, M. S., Keedwell, E., Marchi, A., et al. (2014) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.09.013 · Cited by 657
An overview of methods to evaluate uncertainty of deterministic models in decision support
Uusitalo, L., Lehikoinen, A., Helle, I., & Myrberg, K. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.09.017 · Cited by 538
Tools and methods in participatory modeling: Selecting the right tool for the job
Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P. D., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., et al. (2018) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2018.08.028 · Cited by 428
Self-citationAquaCrop: FAO's crop water productivity and yield response model
Vanuytrecht, E., Raes, D., Steduto, P., Hsiao, T. C., Fereres, E., Heng, L. K., Garcia Vila, M., & Mejias Moreno, P. (2014) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.08.005 · Cited by 403
A critical review of integrated urban water modelling – Urban drainage and beyond
Bach, P. M., Rauch, W., Mikkelsen, P. S., McCarthy, D. T., & Deletic, A. (2014) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2013.12.018 · Cited by 326
Metadata
- Authors
- Laniak, G. F., Olchin, G., Goodall, J., Voinov, A., Hill, M., Glynn, P., Whelan, G., Geller, G., Quinn, N., Blind, M., Peckham, S., Reaney, S., Gaber, N., Kennedy, R., & Hughes, A.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 39
- Pages
- 3-23
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2112459642
- Cited by
- 478
- References
- 3
- FWCI
- 67.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Laniak, G. F., Olchin, G., Goodall, J., Voinov, A., Hill, M., Glynn, P., Whelan, G., Geller, G., Quinn, N., Blind, M., Peckham, S., Reaney, S., Gaber, N., Kennedy, R., & Hughes, A. (2013). Integrated environmental modeling: A vision and roadmap for the future. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2012.09.006
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.