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<p>Ecological modeling captures natural phenomena and processes, aiding in our understanding of ecology, conservation biogeography, and hydrology. The integration of ecological modeling into adaptive management frameworks is, however, underutilized. Adaptive modeling can enhance adaptive management by integrating new information and responding to changing environmental conditions, which facilitates dynamic and effective decision-making. This paper addresses challenges in implementing adaptive modeling, such as the need for collaborative model development, clear communication of model outcomes and limitations, and data and code accessibility. We propose a suite of potential actions to enhance communication, collaboration, and model utility. Focusing on water resource management, we demonstrate how adaptive modeling can inform management decisions and improve conservation outcomes. We highlight the importance of integrating adaptive modeling into future adaptive management plans to ensure models are relevant, reliable, and effectively utilized in resource management and conservation.</p>

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Adaptive Modeling to Inform Environmental Management

  • 期刊论文

  • 发表日期：

    2026年6月27日

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  • Katie Irving,
  • Rupert Mathwin,
  • Christopher J. Kotalik,
  • J. Angus Webb,
  • David M. Walters,
  • Siwan Lovett,
  • S. Kyle McKay,
  • Christa L. Torrens,
  • John R. Olson,
  • Ziad A. El Jack

摘要

Ecological modeling captures natural phenomena and processes, aiding in our understanding of ecology, conservation biogeography, and hydrology. The integration of ecological modeling into adaptive management frameworks is, however, underutilized. Adaptive modeling can enhance adaptive management by integrating new information and responding to changing environmental conditions, which facilitates dynamic and effective decision-making. This paper addresses challenges in implementing adaptive modeling, such as the need for collaborative model development, clear communication of model outcomes and limitations, and data and code accessibility. We propose a suite of potential actions to enhance communication, collaboration, and model utility. Focusing on water resource management, we demonstrate how adaptive modeling can inform management decisions and improve conservation outcomes. We highlight the importance of integrating adaptive modeling into future adaptive management plans to ensure models are relevant, reliable, and effectively utilized in resource management and conservation.