Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.03.014 |
Informing changes to riparian forestry rules with a Bayesian hierarchical model | |
Groom, Jeremiah D.1; Madsen, Lisa J.1; Jones, Jay E.2; Giovanini, Jack N.2,3 | |
2018-07-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 419页码:17-30 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | In 2012 the Oregon Board of Forestry (Board) determined that current forestry rules were insufficient at preventing the degradation of cold water in salmonid-bearing streams. Consequently, the Oregon Department of Forestry required a means for evaluating and comparing the effectiveness of newly-proposed harvest scenarios. We derived a field-data based method for simulating riparian harvest and modeling the resulting effects on stream temperature that could be used for evaluating different harvest scenarios. We simulated prescribed harvests by using previously-collected riparian stand data. To create a predictive model, we modified and joined two earlier stream temperature and shade models from Groom et al. (2011b) into a Bayesian hierarchical model. The predictive model produced parameter estimates and temperature change metrics that aligned with the previous findings. The model predicted that harvest according to a full implementation of the State forest harvest plan would on average result in a 0.19 degrees C increase, while the model predicted that a similarly-scaled harvest to current private forest regulation specifications would lead to an average increase of 1.45 degrees C. Further simulations suggested that employing a no-cut slope-distance riparian zone of 27.4 m would result in average warming below 0.3 degrees C of unharvested conditions. The Board considered these results along with other information and directed the Oregon Department of Forestry to develop harvest rule revisions. Those revisions became effective as of July 2017. |
英文关键词 | Stream temperature Shade Bayesian model Riparian Timber harvest Regulation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000432498900003 |
WOS关键词 | STREAM TEMPERATURE ; SIMULATION ; USA |
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/22850 |
专题 | 气候变化 |
作者单位 | 1.Oregon State Univ, Dept Stat, 239 Weniger Hall, Corvallis, OR 97331 USA; 2.Weyerhaeuser Co, 220 Occidental Ave S, Seattle, WA 98104 USA; 3.Gig Harbor, 1611 39th St CT NW, Gig Harbor, WA 98335 USA |
推荐引用方式 GB/T 7714 | Groom, Jeremiah D.,Madsen, Lisa J.,Jones, Jay E.,et al. Informing changes to riparian forestry rules with a Bayesian hierarchical model[J]. FOREST ECOLOGY AND MANAGEMENT,2018,419:17-30. |
APA | Groom, Jeremiah D.,Madsen, Lisa J.,Jones, Jay E.,&Giovanini, Jack N..(2018).Informing changes to riparian forestry rules with a Bayesian hierarchical model.FOREST ECOLOGY AND MANAGEMENT,419,17-30. |
MLA | Groom, Jeremiah D.,et al."Informing changes to riparian forestry rules with a Bayesian hierarchical model".FOREST ECOLOGY AND MANAGEMENT 419(2018):17-30. |
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