野生蜂在哪里:鸟类改善了蜜蜂丰富的指标
Josée S Rousseau1, Alison Johnston1,2, Amanda D Rodewald1,3
1Cornell Lab of Ornithology, Ithaca, New York, United States of America.
PloS one
|April 23, 2025
概括
野生蜜蜂的数量下降需要采取保护行动. 鸟类和土地覆盖数据有效预测野生蜜蜂的丰富性,有助于在蜜蜂数据稀缺的监测工作.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 生物多样性监测 生物多样性监测
背景情况:
- 野生蜜蜂种群在全球范围内正在减少,威胁着生态系统健康和粮食安全.
- 目前的保护战略受到缺乏全面的野生蜜蜂种群数据的阻碍.
- 制定有效的指标对于指导保护工作和监测蜜蜂种群至关重要.
研究的目的:
- 评估环境和基于分类的指标的有效性,以预测野生蜜蜂物种丰富度.
- 评估鸟类数据对土地覆盖数据的附加值,以推断野生蜜蜂的丰富性.
- 为在数据不足的地区估计野生蜜蜂丰富性提供一个框架.
主要方法:
- 使用公开可用的数据集:蜜蜂数据 (SCAN,GBIF),鸟类数据 (eBird) 和土地覆盖数据 (USDA CDL).
- 采用贝叶斯变量选择算法来识别蜜蜂物种丰富度的关键预测变量.
- 分析了半结构化 (广泛的地理/时间) 和结构化 (集中,标准化) 数据集.
主要成果:
- 鸟类数据显著提高了土地覆盖数据对野生蜜蜂丰富性的预测能力,特别是半结构化数据.
- 鸟类作为影响蜜蜂的环境条件的敏感指标,并不能被遥感捕获.
- 结合鸟类和土地覆盖的指标,可以在缺乏直接蜜蜂观测的地区估计蜜蜂的丰富性.
结论:
- 结合的鸟类和土地覆盖数据可以作为野生蜜蜂丰富性的宝贵替代品.
- 这些指标可以指导保护优先事项和监测野生蜜蜂的努力.
- 这种方法解决了野生蜜蜂研究和保护计划中的关键数据缺口.
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