Global S&T Development Trend Analysis Platform of Resources and Environment
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, Jane E.1; 39;Brien, Joseph J.2 | |
2019-01-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 432页码:409-414 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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 m(2)) scales. Furthermore, we found the sampling effort at this 1 m(2) 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. |
英文关键词 | Species turnover Beta diversity Pairwise distance Variance partitioning Longleaf pine |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000455068700038 |
WOS关键词 | FINE-SCALE VARIATION ; BETA-DIVERSITY ; SPATIAL SCALES ; OLD-GROWTH ; FIRE ; FOREST ; FUEL ; CONSERVATION ; VEGETATION ; ABUNDANCE |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23344 |
专题 | 气候变化 |
作者单位 | 1.Univ Nevada, Ecol Evolut & Conservat Biol, 1664 N Virginia St,MS 0314, Reno, NV 89557 USA; 2.Tall Timbers Res Stn, Wildland Fire Sci Program, 13093 Henry Beadel Dr, Tallahassee, FL 32312 USA; 3.Air Force Wildland Fire Ctr, 107 Highway 85 N, Niceville, FL 32578 USA; 4.US Forest Serv, Southern Res Stn, Ctr Forest Disturbance Sci, 320 Green St, Athens, GA 30602 USA; 5.US Forest Serv, Rocky Mt Res Stn, Forestry Sci Lab, 1221 S Main St, Moscow, ID 83843 USA |
推荐引用方式 GB/T 7714 | Dell, Jane E.,39;Brien, Joseph J.. Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem[J]. FOREST ECOLOGY AND MANAGEMENT,2019,432:409-414. |
APA | Dell, Jane E.,&39;Brien, Joseph J..(2019).Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem.FOREST ECOLOGY AND MANAGEMENT,432,409-414. |
MLA | Dell, Jane 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):409-414. |
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