Angeler, David
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
- University of Nebraska-Lincoln
Research article2018Peer reviewedOpen access
Angeler, David G.; Allen, Craig R.; Garmestani, Ahjond; Pope, Kevin L.; Twidwell, Dirac; Bundschuh, Mirco
Different resilience concepts have different assumptions about system dynamics, which has implications for resilience-based environmental risk and impact assessment. Engineering resilience (recovery) dominates in the risk assessment literature but this definition does not account for the possibility of ecosystems to exist in multiple regimes. In this paper we discuss resilience concepts and quantification methods. Specifically, we discuss when a system fails to show engineering resilience after disturbances, indicating a shift to a potentially undesired regime. We show quantification methods that can assess the stability of this new regime to inform managers about possibilities to transform the system to a more desired regime. We point out the usefulness of an adaptive inference, modelling and management approach that is based on reiterative testing of hypothesis. This process facilitates learning about, and reduces uncertainty arising from risk and impact.
Bulletin of Environmental Contamination and Toxicology
2018, Volume: 101, number: 5, pages: 543-548 Publisher: SPRINGER
Environmental Sciences related to Agriculture and Land-use
DOI: https://doi.org/10.1007/s00128-018-2467-5
https://res.slu.se/id/publ/97283