Decision‐making under uncertainty for species introductions into ecological networks

Author:

Van Kleunen Lucy B.1ORCID,Peterson Katie A.2ORCID,Hayden Meghan T.3ORCID,Keyes Aislyn3ORCID,Schwartz Aaron J.3ORCID,Li Henry3ORCID,Dee Laura E.3ORCID

Affiliation:

1. Department of Computer Science University of Colorado Boulder Colorado USA

2. National Socio‐Environmental Synthesis Center Annapolis Maryland USA

3. Department of Ecology and Evolutionary Biology University of Colorado Boulder Colorado USA

Abstract

AbstractEcological communities are increasingly subject to natural and human‐induced additions of species, as species shift their ranges under climate change, are introduced for conservation and are unintentionally moved by humans. As such, decisions about how to manage ecosystems subject to species introductions and considering multiple management objectives need to be made. However, the impacts of gaining new species on ecological communities are difficult to predict due to uncertainty in introduced species characteristics, the novel interactions that will be produced by that species, and the recipient ecosystem structure. Drawing on ecological and conservation decision theory, we synthesise literature into a conceptual framework for species introduction decision‐making based on ecological networks in high‐uncertainty contexts. We demonstrate the application of this framework to a theoretical decision surrounding assisted migration considering both biodiversity and ecosystem service objectives. We show that this framework can be used to evaluate trade‐offs between outcomes, predict worst‐case scenarios, suggest when one should collect additional data, and allow for improving knowledge of the system over time.

Funder

Eppley Foundation for Research

Office for Science and Technology of the Embassy of France in the United States

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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