Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.05.045 |
Testing the efficacy of tree-ring methods for detecting past disturbances | |
Trotsiuk, Volodymyr1,2,3; Pederson, Neil4; Druckenbrod, Daniel L.5; Orwig, David A.4; Bishop, Daniel A.4,6,7; Barker-Plotkin, Audrey4; Fraver, Shawn8; Martin-Benito, Dario9,10 | |
2018-10-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 425页码:59-67 |
文章类型 | Article |
语种 | 英语 |
国家 | Czech Republic; Switzerland; USA; Spain |
英文摘要 | The retrospective study of abrupt and sustained increases in the radial growth of trees (hereinafter 'releases') by tree-ring analysis is an approach widely used for reconstructing past forest disturbances. Despite the range of dendrochronological methods used for release-detection, a lack of in-depth comparison between them can lead researchers to question which method to use and, potentially, increases the uncertainties of disturbance histories derived with different methods. Here, we investigate the efficacy and sensitivity of four widely used release detection methods using tree-ring width series and complete long-term inventories of forest stands with known disturbances. We used support vector machine (SVM) analysis trained on long-term forest census data to estimate the likelihood that Acer rubrum trees experiencing reductions in competition show releases in their tree-ring widths. We compare methods performance at the tree and stand level, followed by evaluation of method sensitivity to changes in their parameters and settings. Disturbance detection methods agreed with 60-76% of the SVM-identified growth releases under high canopy disturbance and 80-94% in a forest with canopy disturbance of low severity and frequency. The median competition index change (CIC) of trees identified as being released differed more than two-fold between methods, from - 0.33 (radial-growth averaging) to - 0.68 (time-series). False positives (type I error) were more common in forests with low severity disturbance, whereas false negatives (type II error) occurred more often in forests with high severity disturbance. Sensitivity analysis indicated that reductions of the detection threshold and the length of the time window significantly increased detected stand-level disturbance severity across all methods. Radial-growth averaging and absolute-increase methods had lower levels of type I and II error in detecting disturbance events with our datasets. Parameter settings play a key role in the accuracy of reconstructing disturbance history regardless of the method. Time-series and radial-growth averaging methods require the least amount of a priori information, but only the time-series method quantified the subsequent growth increment related to a reduction in competition. Finally, we recommend yearly binning of releases using a kernel density estimation function to identify local maxima indicating disturbance. Kernel density estimation improves reconstructions of forest history and, thus, will further our understanding of past forest dynamics. |
英文关键词 | Absolute-increase Boundary-line Competition Forest development Forest dynamics Radial-growth averaging Time-series analysis Release |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000438004500007 |
WOS关键词 | FOREST DISTURBANCE ; GROWTH RELEASES ; DENDROECOLOGICAL RECONSTRUCTIONS ; HISTORY ; EVENTS ; DENDROCHRONOLOGY ; FREQUENCY ; HURRICANE ; DYNAMICS ; CRITERIA |
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/23295 |
专题 | 气候变化 |
作者单位 | 1.Czech Univ Life Sci Prague, Fac Forestry & Wood Sci, Kamycka 129, Prague 16521 6, Czech Republic; 2.Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland; 3.EMI Zurich, Inst Agr Sci, Univ Str 2, CH-8092 Zurich, Switzerland; 4.Harvard Univ, Harvard Forest, 324 North Main St, Petersham, MA 01366 USA; 5.Rider Univ, Dept Geol Environm & Marine Sci, 2083 Lawrenceville Rd, Lawrenceville, NJ 08648 USA; 6.Lamont Doherty Earth Observ, Tree Ring Lab, POB 1000 Route 9w, Palisades, NY 10964 USA; 7.Columbia Univ, Dept Earth & Environm Sci, Div Biol & Paleo Environm, New York, NY 10964 USA; 8.Univ Maine, Sch Forest Resources, 5755 Nutting Hall, Orono, ME 04469 USA; 9.Forest Res Ctr INIA CIFOR, Ctra La Coruna Km 7-5, Madrid 28040, Spain; 10.Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Terr Ecosyst, Forest Ecol, Univ Str 16, CH-8092 Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Trotsiuk, Volodymyr,Pederson, Neil,Druckenbrod, Daniel L.,et al. Testing the efficacy of tree-ring methods for detecting past disturbances[J]. FOREST ECOLOGY AND MANAGEMENT,2018,425:59-67. |
APA | Trotsiuk, Volodymyr.,Pederson, Neil.,Druckenbrod, Daniel L..,Orwig, David A..,Bishop, Daniel A..,...&Martin-Benito, Dario.(2018).Testing the efficacy of tree-ring methods for detecting past disturbances.FOREST ECOLOGY AND MANAGEMENT,425,59-67. |
MLA | Trotsiuk, Volodymyr,et al."Testing the efficacy of tree-ring methods for detecting past disturbances".FOREST ECOLOGY AND MANAGEMENT 425(2018):59-67. |
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