生物多样性数字双胞胎原型:农业景观中的蜜蜂

Jürgen Groeneveld, Tomas Martinovic, Tuomas P. Rossi, Ondrej Salamon, Kata Sara-aho, V. Grimm
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引用次数: 0

摘要

蜜蜂对人类福祉至关重要,却面临多重压力。我们需要能够评估蜜蜂群在不同景观、不同管理和气候变化情况下的生存能力和生产力。我们在 BEEHAVE 模型的基础上开发了数字孪生原型 HONEYBEE-pDT,该模型模拟了单个蜜蜂群落的觅食、种群动态和 Varroa 螨虫侵扰。主要输入数据是土地覆盖图和每日天气数据。我们开发了用于大面积模拟的 pDT,并在整个德国进行了测试。我们还开发了一个基于网络的图形用户界面,用户可以用它在特定地点运行 pDT。来自数百个蜂箱的蜂巢重量数据将用于校准和验证。
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Prototype Biodiversity Digital Twin: honey bees in agricultural landscapes
Honey bees are vital to human well-being and are under multiple stresses. We need to be able to assess the viability and productivity of honey bee colonies in different landscapes and under different management and climate-change scenarios. We have developed a prototype digital twin, HONEYBEE-pDT, based on the BEEHAVE model, which simulates foraging, population dynamics and Varroa mite infestation of a single honey bee colony. The main input data are land-cover maps and daily weather data. We have developed the pDT for simulating large areas and have tested it for the whole of Germany. We have also developed a web-based GUI that users can use to run the pDT for specific sites. Hive weight data from hundreds of hives will be used for calibration and validation.
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