中国的生物入侵数据缺口:分布,库存和影响的例子
Jiayao He1, Ke Chen1, Peishan Sun2
1Institute of Plant Inspection and Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
Biology
|November 27, 2024
概括
对外来入侵物种 (IAS) 的有效管理需要全面的数据. 中国在IAS分布,库存和影响方面面临重大数据缺口,这阻碍了对控制工作的高效资源配置.
科学领域:
- 生态生态学 生态生态学
- 环境管理环境管理
- 保护生物学 保护生物学
背景情况:
- 侵入性外来物种 (IAS) 影响的全球增加需要基于证据的管理策略.
- 信息系统对于评估和管理生物入侵至关重要,但往往由于缺乏可访问的基线数据而受到阻碍.
- 尽管中国公众意识越来越大,但对IAS管理的关键数据要求仍然未被认可,导致数据缺陷.
研究的目的:
- 概述有效的生物入侵管理的关键数据需求.
- 突出目前中国高质量的IAS数据存在的缺陷.
- 批判性地评估有关IAS分布,库存和影响的数据缺口.
主要方法:
- 对生物入侵管理的数据要求的审查.
- 评估中国现有的IAS数据质量.
- 开发一个概念框架,以满足入侵管理中的数据需求.
主要成果:
- 在中国的高质量IAS数据中存在重大差距,影响了分布,库存和影响评估.
- 提出了一个概念框架,详细说明了整个入侵管理过程中的数据要求.
- 确定了评估数据质量的指标 (相关性,分辨率,可靠性).
结论:
- 解决IAS分布,库存和影响的数据缺口对于有效的中国入侵管理至关重要.
- 拟议的框架和质量指标可以指导改善IAS数据收集和利用的努力.
- 加强数据的可访问性和质量对于生物入侵控制中的基于证据的决策至关重要.
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