Abstract：
Ecological 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.
摘要：
生态群落越来越多地受到自然和人为物种增加的影响，随着物种在气候变化下改变它们的范围，是为了保护而引入的，并被人类无意中移动。因此，需要做出有关如何管理受物种引入影响的生态系统并考虑多个管理目标的决策。然而,由于引入物种特征的不确定性，获得新物种对生态群落的影响很难预测，该物种将产生的新相互作用，和受体生态系统结构。借鉴生态和保护决策理论，我们将文献综合为在高不确定性环境下基于生态网络的物种引进决策的概念框架。我们展示了该框架在考虑生物多样性和生态系统服务目标的辅助迁移理论决策中的应用。我们证明了这个框架可以用来评估结果之间的权衡，预测最坏的情况，建议什么时候应该收集额外的数据，并允许随着时间的推移提高系统的知识。
