气候变化领域集成服务门户(CCPortal): Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem

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DOI	10.1016/j.foreco.2018.09.022
	Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem
	Dell J.E.; Pokswinski S.M.; Richards L.A.; Hiers J.K.; Williams B.; O'Brien J.J.; Loudermilk E.L.; Hudak A.T.; Dyer L.A.
发表日期	2019
ISSN	0378-1127
起始页码	409
结束页码	414
卷号	432
英文摘要	Monitoring understory plant diversity is important, allowing managers to track current diversity status and trends both spatially and temporally at a landscape-scale. Improving precision in quantifying patterns in understory plant diversity improves efficiency in monitoring design and more accurate measures of success of management intervention over time. Patterns of species diversity are dependent upon the scale in which they are examined – an increase in small-scale diversity across a gradient can convert to a decrease in large-scale diversity across that same gradient. Using two extensive datasets including both mined historical data and supplemental experimental data, we performed an additive partitioning of plant diversity to elucidate the hierarchical spatial patterns of understory plant species richness, and independent measures of alpha and beta diversity in the species-rich longleaf pine ecosystem at Eglin Air Force Base in northwestern FL, USA. This analysis allowed us to identify the spatial scale that most effectively captures plant diversity to inform monitoring efforts by using measures of species turnover, specifically beta diversity. We found that while species richness and alpha diversity increased with spatial scale, beta diversity began to reach an asymptote at smaller (1 m2) scales. Furthermore, we found the sampling effort at this 1 m2 scale required as few as 60 plots to effectively estimate plant diversity within management blocks. While our results are attributable to Eglin AFB specifically, these scaling analyses can help to streamline monitoring efforts in other ecosystems that seek to elucidate the individual contributions of diversity components. © 2018 Elsevier B.V.
英文关键词	Beta diversity; Longleaf pine; Pairwise distance; Species turnover; Variance partitioning
语种	英语
scopus关键词	Biodiversity; Ecosystems; Forestry; Beta diversities; Longleaf pine; Pairwise distances; Species turnover; Variance partitioning; Plants (botany); additive; biodiversity; coniferous forest; data set; environmental monitoring; forest ecosystem; landscape ecology; management practice; species diversity; species richness; turnover; understory; variance analysis; Biodiversity; Data; Ecosystems; Forestry; Management; Monitoring; Patterns; Plants; Florida [United States]; United States; Pinus palustris
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156374
作者单位	University of Nevada, Reno, Ecology, Evolution, and Conservation Biology, 1664 N. Virginia St./MS 0314, Reno, NV 89557, United States; Tall Timbers Research Station, Wildland Fire Science Program, 13093 Henry Beadel Dr, Tallahassee, FL 32312, United States; Air Force Wildland Fire Center, Eglin AFB, 107 Highway 85 N., Niceville, FL 32578, United States; Center for Forest Disturbance Science, Southern Research Station, US Forest Service, 320 Green St., Athens, GA 30602, United States; Forestry Sciences Laboratory, Rocky Mountain Research Station, US Forest Service, 1221 S. Main St., Moscow, ID 83843, United States
推荐引用方式 GB/T 7714	Dell J.E.,Pokswinski S.M.,Richards L.A.,et al. Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem[J],2019,432.
APA	Dell J.E..,Pokswinski S.M..,Richards L.A..,Hiers J.K..,Williams B..,...&Dyer L.A..(2019).Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem.Forest Ecology and Management,432.
MLA	Dell J.E.,et al."Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem".Forest Ecology and Management 432(2019).