globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2016.06.037
Scopus记录号: 2-s2.0-84976525079
论文题名:
Airborne laser scanning for modelling understory shrub abundance and productivity
作者: Barber Q.E.; Bater C.W.; Braid A.C.R.; Coops N.C.; Tompalski P.; Nielsen S.E.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2016
卷: 377
起始页码: 46
结束页码: 54
语种: 英语
英文关键词: Airborne laser scanning (ALS) ; Grizzly bear (Ursus arctos) ; Light detection and ranging (LiDAR) ; Species-habitat modelling ; Understory vegetation
Scopus关键词: Decision trees ; Ecosystems ; Forestry ; Fruits ; Laser applications ; Optical radar ; Productivity ; Scanning ; Surface analysis ; Vegetation ; Airborne Laser scanning ; Grizzly bear ; Habitat modelling ; Light detection and ranging ; Understory vegetation ; Climate models ; abundance ; airborne sensing ; bear ; data processing ; ecosystem modeling ; fruit production ; habitat quality ; habitat type ; landscape ; laser ; lidar ; shrub ; stand structure ; understory ; vegetation structure ; Alberta ; Canada ; Amelanchier alnifolia ; Shepherdia ; Shepherdia canadensis ; Ursus arctos ; Vaccinium membranaceum
英文摘要: Fiber production is no longer the sole objective of forest management, with increasing importance placed on other goods and services, such as maintaining habitat quality and stand successional development. Evaluating habitat quality and understory composition across complex landscapes remains a challenge for forest and wildlife managers, but is essential for ensuring the stability of vulnerable species. In this study we investigate whether forest stand structure, as measured by airborne laser scanning (ALS), can be used to predict the abundance and fruit production (fruit count) for Canada buffaloberry (Shepherdia canadensis), huckleberry (Vaccinium membranaceum), and saskatoon (Amelanchier alnifolia) shrubs in southwest Alberta, Canada. We combine ALS, climate, and terrain data to build random forest models of species abundance and fruit productivity, trained on data from 322 field plots. ALS data was processed into a suite of stand structure variables, under the hypothesis that models incorporating stand structure will be more powerful than models without for describing understory shrub abundance and reproduction (fruit productivity). ALS data improved model fit for saskatoon and huckleberry abundance models, with total explained variance (r2) ranging from 37.6 to 59.4%. Inclusion of ALS data improved explained variance between 0% and 16%, suggesting that saskatoon and huckleberry in particular were associated with overstory vegetation structure. Despite the importance of ALS in further improving explanation of shrub abundance and fruit production, terrain factors were the dominant factor affecting regional and local variation in species abundance and fruit production. © 2016
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64775
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Renewable Resources, University of Alberta, 705 General Services Building, Edmonton, AB, Canada; Forest Management Branch, Forestry Division, Alberta Agriculture and Forestry, 9920-108 Street NWAB, Canada; Department of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada

Recommended Citation:
Barber Q.E.,Bater C.W.,Braid A.C.R.,et al. Airborne laser scanning for modelling understory shrub abundance and productivity[J]. Forest Ecology and Management,2016-01-01,377
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