globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2013.12.020
Scopus记录号: 2-s2.0-84891916316
论文题名:
Evaluating spatial patterns of drought-induced tree mortality in a coastal California pine forest
作者: Baguskas S.A.; Peterson S.H.; Bookhagen B.; Still C.J.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2014
卷: 315
起始页码: 43
结束页码: 53
语种: 英语
英文关键词: Coastal fog ; Drought-stress ; Random Forest ; Remote sensing ; Tree mortality
Scopus关键词: Coastal fogs ; Digital elevation model ; Drought-stress ; Environmental variables ; High spatial resolution ; Probability of survival ; Random forests ; Tree mortality ; Decision trees ; Forestry ; Remote sensing ; Drought ; aerial photography ; algorithm ; coastal zone ; coniferous forest ; drought stress ; elevation ; environmental factor ; fog ; landscape structure ; lidar ; mortality ; remote sensing ; rooting ; spatial analysis ; spatial distribution ; survivorship ; Drought ; Forestry ; Remote Sensing ; California ; Channel Islands [California] ; Santa Cruz Island ; United States
英文摘要: In a coastal, fog-influenced forest on Santa Cruz Island in southern California, we observed mortality of Bishop pine (Pinus muricata D.Don) trees following a brief (2. year), yet intense, drought. While anecdotal evidence indicates that drought-induced Bishop pine mortality has occurred in the past in the stand we studied, this is the first attempt to capture the spatial distribution of mortality, and begin to understand the environmental drivers underlying these events. We used high spatial resolution remote sensing data to quantify the spatial extent of tree mortality using a 1. m true color aerial photograph and a 1. m LiDAR digital elevation model. We found the highest density of dead trees in the drier, more inland margins of the forest stand. We used the Random Forest decision tree algorithm to test which environmental variables (e.g., summertime cloud frequency, solar insolation, and geomorphic attributes) would best separate live and dead tree populations. We also included tree height as a variable in our analysis, which we used as a proxy for overall tree size and potential rooting distribution. Based on the Random Forest analysis, we generated a map of the probability of survival. We found tree survivorship after drought was best explained by the frequency of summertime clouds, elevation, and tree height. Specifically, survivorship was greatest for larger trees (~8-10. m tall) in more foggy parts of the stand located at moderate elevation. We found that probability of survival was lowest at the inland extent of the stand where trees occur at the upper limit of their elevation range (~400. m). The coexistence of these main factors with other landscape variables help identify areas of suitable habitat for Bishop pines across the stand, and extend our understanding of this species' distribution. © 2013 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66123
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Geography, University of California-Santa Barbara, Santa Barbara, CA 93106-4060, United States; Forest Ecosystems and Society, Oregon State University, Corvallis, OR 97331, United States

Recommended Citation:
Baguskas S.A.,Peterson S.H.,Bookhagen B.,et al. Evaluating spatial patterns of drought-induced tree mortality in a coastal California pine forest[J]. Forest Ecology and Management,2014-01-01,315
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