同一个利基领域的不同方面:整合公民科学和科学调查数据,在多个全球变革驱动因素下预测生物入侵风险
Mirko Di Febbraro1, Luciano Bosso2, Mauro Fasola3
1Environmetrics Lab, Department of Biosciences and Territory, University of Molise, Pesche, Isernia, Italy.
Global change biology
|August 7, 2023
概括
公民科学数据增强了对入侵物种和未来传播的理解,特别是对于陆地物种. 然而,它有时会为水生物种收缩,影响入侵风险预测.
科学领域:
- 生态生态学 生态生态学
- 侵入性物种 生物学 生物学
- 保护科学 保护科学
背景情况:
- 公民科学为生态建模提供了有价值的事件数据,但仅存在的数据存在挑战.
- 将公民科学数据与科学调查相结合,旨在提高物种分布模型的准确性.
- 很少有研究评估了数据整合如何影响物种环境的采样和模型预测.
研究的目的:
- 为了比较公民科学数据,科学调查数据及其整合在捕捉意大利外来入侵物种的实现利基的能力.
- 在全球变化场景下,评估数据整合对预测当前和未来入侵风险的影响.
- 评估公民科学数据对生态利基模型和入侵物种管理的贡献.
主要方法:
- 进行了利基重叠分析,以比较不同数据源捕获的环境利基.
- 机器学习分类算法和生态利基模型被用于数据分析.
- 研究了意大利的13种外来入侵物种,考虑了陆地和水生类型.
主要成果:
- 公民科学和科学调查数据都捕获了类似的物种,在特定的环境条件下确定了独特的部分.
- 公民科学数据增加了陆地入侵物种的环境空间,导致预测的未来入侵风险更高.
- 对于一些水生物种,综合数据导致了利基收缩,预测未来入侵风险较低.
结论:
- 公民科学数据是预测外来入侵物种未来传播的宝贵资源,特别是在国家计划中.
- 公民科学数据对利基量化和入侵风险预测的影响取决于物种和数据背景.
- 在使用公民科学数据进行生态建模和风险评估时,仔细考虑数据质量和背景至关重要.
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