干旱区生态环境知识资源中心(Arid): Determining vegetation metric robustness to environmental and methodological variables

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DOI	10.1007/s10661-021-09445-9
	Determining vegetation metric robustness to environmental and methodological variables
	Stern, Jessica L.; Herman, Brook D.; Matthews, Jeffrey W.
通讯作者	Stern, JL (corresponding author), Univ Illinois, Dept Nat Resources & Environm Sci, 1102 S Goodwin Ave, Urbana, IL 61801 USA.
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2021
卷号	193 期号:10
英文摘要	Land managers need reliable metrics for assessing the quality of restorations and natural areas and prioritizing management and conservation efforts. However, it can be difficult to select metrics that are robust to sampling methods and natural environmental differences among sites, while still providing relevant information regarding ecosystem changes or stressors. We collected herbaceous-layer vegetation data in wetlands and grasslands in four regions of the USA (the Midwest, subtropical Florida, arid southwest, and coastal New England) to determine if commonly used vegetation metrics (species richness, mean coefficient of conservatism [mean C], Floristic Quality Index [FQI], abundance-weighted mean C, and percent non-native species cover) were robust to environmental and methodological variables (region, site, observer, season, and year), and to determine adequate sample sizes for each metric. We constructed linear mixed effects models to determine the influence of these environmental and methodological variables on vegetation metrics and used metric accumulation curves to determine the effect of sample size on metric values. Species richness and FQI varied among regions, and year and observer effects were also highly supported in our models. Mean C was the metric most robust to sampling variables and stabilized at less sampling effort compared to other metrics. Assessment of mean C requires sampling a small number of quadrats (e.g. 20), but assessment of species richness or FQI requires more intensive sampling, particularly in species-rich sites. Based on our analysis, we recommend caution be used when comparing metric values among sites sampled in different regions, different years, or by different observers.
英文关键词	Vegetation metrics Mean coefficient of conservatism Floristic quality index Conservation Natural area management Monitoring
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000695842800002
WOS关键词	FLORISTIC QUALITY ASSESSMENT ; PLANT-SPECIES RICHNESS ; CENTRAL PENNSYLVANIA ; ASSESSMENT INDEX ; RESTORATION ; CONSERVATISM ; COEFFICIENTS ; WETLANDS ; INDICATORS ; INTEGRITY
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368416
作者单位	[Stern, Jessica L.; Matthews, Jeffrey W.] Univ Illinois, Dept Nat Resources & Environm Sci, 1102 S Goodwin Ave, Urbana, IL 61801 USA; [Herman, Brook D.] US Army Engineer Res & Dev Ctr, Environm Lab, 3909 Halls Ferry Rd, Vicksburg, MS 39180 USA
推荐引用方式 GB/T 7714	Stern, Jessica L.,Herman, Brook D.,Matthews, Jeffrey W.. Determining vegetation metric robustness to environmental and methodological variables[J],2021,193(10).
APA	Stern, Jessica L.,Herman, Brook D.,&Matthews, Jeffrey W..(2021).Determining vegetation metric robustness to environmental and methodological variables.ENVIRONMENTAL MONITORING AND ASSESSMENT,193(10).
MLA	Stern, Jessica L.,et al."Determining vegetation metric robustness to environmental and methodological variables".ENVIRONMENTAL MONITORING AND ASSESSMENT 193.10(2021).