无模型生态系统管理的经验动态程序设计

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-02-23 DOI:10.1111/2041-210X.14302
Stephan B. Munch, Antoine Brias
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引用次数: 0

摘要

以生态系统为基础的定量管理通常依赖于假设的生态系统模型,除了研究最深入的系统外,这些模型都很难得到验证。在这里,我们开发了一种基于观测动态驱动的预测模型的管理方案。我们表明,通过合并经验动态建模和随机动态编程,可以从时间序列数据中构建近乎最优的管理策略。经验动态编程方法在我们研究的案例中表现良好,优于常用的单一物种替代方法。我们预计,在生态系统动态不确定或对系统的观测未涵盖所有相关物种的情况下,无模型生态系统管理法将大有用武之地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Empirical dynamic programming for model-free ecosystem-based management

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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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