DEBEcoMod: A dynamic energy budget R tool to predict life-history traits of marine organisms across time and space

IF 5.8 2区环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2024-11-16 DOI:10.1016/j.ecoinf.2024.102897

A. Giacoletti , M. Bosch-Belmar , G. Di Bona , M.C. Mangano , B. Stechele , G. Sarà

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Abstract

DEBEcoMod is an open-source R script designed to apply Dynamic Energy Budget (DEB) theory to predict life-history traits of marine organisms under various environmental and anthropogenic stressors. It presents a novel approach to overcoming the computational and scale limitations of previous DEB applications, enabling the generation of spatially explicit outputs. DEBEcoMod is intended to predict traits such as maximum size, reproductive output, and life-history traits across different temporal and spatial scales. It utilises parameters from the AddMyPet database for various species and environmental time series to simulate the past, present, and future performance of organisms. The tool also includes a module for spatio-temporal representation, producing clear and accessible maps for stakeholders. The document highlights DEBEcoMod's application in invasion biology, marine spatial planning, integrated multi-trophic aquaculture, and marine ecology, drawing on published examples of spatial applications to demonstrate its versatility and potential in ecological research and adaptive management. Furthermore, the code has been cross-validated with the official DEBtool to ensure its accuracy and reliability. DEBEcoMod is available for download on GitHub, enhancing its accessibility and utility for a wide range of ecological and conservation applications.

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DEBEcoMod：用于预测海洋生物跨时空生命史特征的动态能量预算 R 工具

DEBEcoMod 是一个开源 R 脚本，旨在应用动态能量预算（DEB）理论预测各种环境和人为压力下海洋生物的生命史特征。它提出了一种新方法来克服以往 DEB 应用在计算和规模上的局限性，从而能够生成空间明确的输出结果。DEBEcoMod 用于预测不同时空尺度下的最大体型、繁殖输出和生命史特征。它利用 AddMyPet 数据库中不同物种和环境时间序列的参数来模拟生物在过去、现在和未来的表现。该工具还包括一个时空表示模块，可为利益相关者制作清晰易懂的地图。文件重点介绍了 DEBEcoMod 在入侵生物学、海洋空间规划、综合多营养水产养殖和海洋生态学方面的应用，并借鉴了已发表的空间应用实例，以展示其在生态研究和适应性管理方面的多功能性和潜力。此外，代码还与官方 DEBtool 进行了交叉验证，以确保其准确性和可靠性。DEBEcoMod 可在 GitHub 上下载，从而提高了其在广泛的生态和保护应用中的可访问性和实用性。

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.