Logghe Garben, Batsleer Femke, Maes Dirk, Permentier Tristan, Berg Matty P, Brosens Dimitri, Cooleman Stijn, De Smedt Pallieter, Hagge Jonas, Lambrechts Jorg, Pollet Marc, Verheyde Fons, Bonte Dries
Ghent University, Ghent, Belgium Ghent University Ghent Belgium.
Research Institute for Nature and Forest, Brussels, Belgium Research Institute for Nature and Forest Brussels Belgium.
Biodivers Data J. 2025 Mar 11;13:e146785. doi: 10.3897/BDJ.13.e146785. eCollection 2025.
In response to the ongoing biodiversity crisis amongst arthropods, it is essential to implement efficient conservation strategies to safeguard both species diversity and the vital ecosystem services they provide. Developing such strategies requires reliable predictive models that can identify the species that are the most vulnerable to current and future threats, including those posed by climate and land-use change. Species life histories are central to these models, as they influence both population dynamics and spread rates.
To support this effort, we compiled a dataset with key traits for arthropods based on several literature sources and expert knowledge. The dataset contains data on body size, life history, thermal niche and ecology for 4874 northwestern European species across 10 different orders. By gathering these essential trait data, we aim to create a robust foundation for predicting species vulnerability and anticipating shifts in arthropod communities in response to global change.
为应对节肢动物中持续存在的生物多样性危机，实施有效的保护策略以保护物种多样性及其提供的重要生态系统服务至关重要。制定此类策略需要可靠的预测模型，以识别最易受到当前和未来威胁（包括气候和土地利用变化所带来的威胁）影响的物种。物种生活史是这些模型的核心，因为它们会影响种群动态和扩散速度。
为支持这一工作，我们基于多个文献来源和专家知识，编制了一个包含节肢动物关键特征的数据集。该数据集包含了来自10个不同目、4874种西北欧物种的体型、生活史、热生态位和生态学数据。通过收集这些重要的特征数据，我们旨在为预测物种脆弱性以及预测节肢动物群落因全球变化而发生的变化建立一个坚实的基础。
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