Suppr超能文献

利用两种分类方案为美国西弗吉尼亚州的湿地开发生物完整性植被指数。

Using two classification schemes to develop vegetation indices of biological integrity for wetlands in West Virginia, USA.

机构信息

Division of Forestry and Natural Resources, West Virginia University, PO Box 6125, Percival Hall, Morgantown, WV 26506, USA.

出版信息

Environ Monit Assess. 2010 Nov;170(1-4):555-69. doi: 10.1007/s10661-009-1257-2. Epub 2009 Dec 23.

Abstract

Bioassessment methods for wetlands, and other bodies of water, have been developed worldwide to measure and quantify changes in "biological integrity." These assessments are based on a classification system, meant to ensure appropriate comparisons between wetland types. Using a local site-specific disturbance gradient, we built vegetation indices of biological integrity (Veg-IBIs) based on two commonly used wetland classification systems in the USA: One based on vegetative structure and the other based on a wetland's position in a landscape and sources of water. The resulting class-specific Veg-IBIs were comprised of 1-5 metrics that varied in their sensitivity to the disturbance gradient (R2=0.14-0.65). Moreover, the sensitivity to the disturbance gradient increased as metrics from each of the two classification schemes were combined (added). Using this information to monitor natural and created wetlands will help natural resource managers track changes in biological integrity of wetlands in response to anthropogenic disturbance and allows the use of vegetative communities to set ecological performance standards for mitigation banks.

摘要

湿地及其他水体的生物评估方法已在全球范围内得到发展,用于衡量和量化“生物完整性”的变化。这些评估基于分类系统,旨在确保湿地类型之间的适当比较。我们利用当地特定的干扰梯度,基于美国两种常用的湿地分类系统,构建了基于植被的生物完整性指数(Veg-IBIs):一种基于植被结构,另一种基于湿地在景观中的位置和水源。由此产生的特定于类别的 Veg-IBIs 由 1-5 个指标组成,这些指标对干扰梯度的敏感性不同(R2=0.14-0.65)。此外,随着两种分类方案中的指标的组合(添加),对干扰梯度的敏感性会增加。利用这些信息来监测自然和人工湿地将有助于自然资源管理者跟踪湿地生物完整性对人为干扰的变化,并允许利用植被群落为缓解银行制定生态绩效标准。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验