一个基于特征的快速评估框架,用于估计火灾对数据较差的澳大利亚无脊椎动物种群的影响
Jessica R Marsh1,2, Payal Bal3, Libby Rumpff3
1School of Biological Sciences, Adelaide University, Adelaide, South Australia, Australia.
概括
一种新的基于特征的方法有助于评估野火对数据较差的无脊椎动物物种的影响. 这种方法在澳大利亚大火之后确定了数百种需要保护的物种,突出了有效缓解威胁的关键数据缺口.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 生物多样性评估评估
背景情况:
- 在干扰后评估数据较差的种类的保护需求是具有挑战性的.
- 无脊椎动物对澳大利亚的生态系统功能至关重要,但大多数人对它们的了解很少.
- 需要方法来估计数据不足的物种中的干扰易感性.
研究的目的:
- 开发和应用一种基于特征的新方法来评估野火对无脊椎动物的影响.
- 估计受2019-2020年澳大利亚大火影响的1220种无脊椎动物的保护状况.
- 识别影响保护评估的数据不确定性和知识差距.
主要方法:
- 开发了一种基于特征的易感性评估,包括微息地,生命史和生态特征.
- 考虑到数据的不确定性,包括发生记录,特征可用性和分类学最新性.
- 将该方法应用于与澳大利亚大火足迹重叠的1220种无脊椎动物.
主要成果:
- 在大火后确定了748种潜在的无脊椎动物物种,这些物种存在潜在的保护问题.
- 它将169种物种归类为极度受威胁的,579种为中度受威胁的,454种为轻度受威胁的.
- 发现867种物种的数据质量不佳,其中97种物种的风险最高.
结论:
- 基于特征的方法是有效的评估干扰对数据贫困的无脊椎动物的影响.
- 该方法可以将其推广到其他数据缺陷分类和全球干扰事件.
- 解决发现的知识差距可以改善对鲜为人知的物种的保护风险预测.
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