GSTDTAP  > 气候变化
DOI10.1016/j.foreco.2017.11.017
Using airborne laser scanning to predict plant species richness and assess conservation threats in the oil sands region of Alberta's boreal forest
Mao, Lingfeng1; Dennett, Jacqueline1; Bater, Christopher W.2; Tompalski, Piotr3; Coops, Nicholas C.3; Farr, Dan4; Kohler, Monica5; White, Barry2; Stadt, John J.2; Nielsen, Scott E.1
2018-02-01
发表期刊FOREST ECOLOGY AND MANAGEMENT
ISSN0378-1127
EISSN1872-7042
出版年2018
卷号409页码:29-37
文章类型Article
语种英语
国家Canada
英文摘要

Timely and cost-effective monitoring of biodiversity across large areas is a major challenge, yet an important component of monitoring programs that inform policy and conservation strategies. Recent advances in Airborne Laser Scanning (ALS) provide new opportunities to simultaneously measure vegetation structure and terrain morphology at fine spatial scales. However, there is limited research on whether ALS metrics correlate with biodiversity measures. Here we used vascular plant data from 283 quarter-hectare (50 m x 50 m) plots from the boreal forest in northeast Alberta, Canada, to evaluate the potential for ALS-derived metrics to explain species richness patterns for vascular plants, as well as for four growth forms: herbaceous (including forbs and graminoids) and woody plants. We found canopy height from ALS was the most consistent and important (positive) factor related to local patterns in vascular plant species richness. Multivariate regression models of ALS-derived metrics explained 20-35% of the variation in species richness among vascular plants and the four subclasses. When considering the current distribution of in situ oil sands leases in the region, vascular plant richness inside of the leases is higher than outside. Areas delineated for woodland caribou conservation had lower average plant richness suggesting that it will do little to protect hotspots of vascular plant diversity in Alberta's boreal forest. Our results highlight the value of using fine-scale measures of ALS-derived vegetation structure to explain, predict, and potentially monitor local plant diversity for a high latitude forested ecosystem.


英文关键词Remote sensing Biodiversity Ecological complexity Vegetation structure Canopy height
领域气候变化
收录类别SCI-E
WOS记录号WOS:000425578000004
WOS关键词CLIMATE-CHANGE ; STRUCTURAL COMPLEXITY ; COMMUNITY STRUCTURE ; CANOPY HEIGHT ; LIDAR ; DIVERSITY ; HABITAT ; BIODIVERSITY ; DETERMINANTS ; EVOLUTIONARY
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/23661
专题气候变化
作者单位1.Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada;
2.Alberta Agr & Forestry, Forest Management Branch, Forestry Div, Edmonton, AB T5K 2M4, Canada;
3.Univ British Columbia, Dept Forest Resource Management, Vancouver, BC V6T 1Z4, Canada;
4.Govt Alberta, Environm Monitoring & Sci Div, 10th Floor,9888 Jasper Ave NW, Edmonton, AB T5J 5C6, Canada;
5.Univ Alberta, Alberta Biodivers Monitoring Inst, CW 405 Biol Sci Bldg, Edmonton, AB T6G 2E9, Canada
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GB/T 7714
Mao, Lingfeng,Dennett, Jacqueline,Bater, Christopher W.,et al. Using airborne laser scanning to predict plant species richness and assess conservation threats in the oil sands region of Alberta's boreal forest[J]. FOREST ECOLOGY AND MANAGEMENT,2018,409:29-37.
APA Mao, Lingfeng.,Dennett, Jacqueline.,Bater, Christopher W..,Tompalski, Piotr.,Coops, Nicholas C..,...&Nielsen, Scott E..(2018).Using airborne laser scanning to predict plant species richness and assess conservation threats in the oil sands region of Alberta's boreal forest.FOREST ECOLOGY AND MANAGEMENT,409,29-37.
MLA Mao, Lingfeng,et al."Using airborne laser scanning to predict plant species richness and assess conservation threats in the oil sands region of Alberta's boreal forest".FOREST ECOLOGY AND MANAGEMENT 409(2018):29-37.
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