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波罗的海食物网模型中的不确定性揭示了未来预测所面临的挑战。

Uncertainties in a Baltic sea food-web model reveal challenges for future projections.

机构信息

Baltic Nest Institute, Department of Systems Ecology of the Stockholm Resilience Centre, Stockholm University, Sweden.

出版信息

Ambio. 2012 Sep;41(6):613-25. doi: 10.1007/s13280-012-0324-z.

Abstract

Models that can project ecosystem dynamics under changing environmental conditions are in high demand. The application of such models, however, requires model validation together with analyses of model uncertainties, which are both often overlooked. We carried out a simplified model uncertainty and sensitivity analysis on an Ecopath with Ecosim food-web model of the Baltic Proper (BaltProWeb) and found the model sensitive to both variations in the input data of pre-identified key groups and environmental forcing. Model uncertainties grew particularly high in future climate change scenarios. For example, cod fishery recommendations that resulted in viable stocks in the original model failed after data uncertainties were introduced. In addition, addressing the trophic control dynamics produced by the food-web model proved as a useful tool for both model validation, and for studying the food-web function. These results indicate that presenting model uncertainties is necessary to alleviate ecological surprises in marine ecosystem management.

摘要

模型可以预测在变化的环境条件下的生态系统动态,因此需求很高。然而,此类模型的应用需要进行模型验证以及模型不确定性分析,而这两者往往被忽视。我们对波罗的海(BaltProWeb)的生态系统模型进行了简化的模型不确定性和敏感性分析,发现模型对预先确定的关键组的输入数据变化以及环境胁迫都很敏感。在未来气候变化情景中,模型不确定性尤其高。例如,在引入数据不确定性后,原本可以使鳕鱼渔业可持续发展的建议在原始模型中失败了。此外,解决食物网模型产生的营养级控制动态被证明是一种有用的工具,既可以用于模型验证,也可以用于研究食物网功能。这些结果表明,提出模型不确定性对于缓解海洋生态系统管理中的生态惊喜是必要的。

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