气候变化领域集成服务门户(CCPortal): Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest

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DOI	10.1016/j.foreco.2019.05.054
	Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest
	Echiverri L.; Macdonald S.E.
发表日期	2019
ISSN	0378-1127
起始页码	35
结束页码	52
卷号	447
英文摘要	For the purpose of informing biodiversity conservation efforts in managed landscapes, we explored whether and how understory plant communities (abundance, diversity, composition) were related to a topographic moisture index, called depth-to-water, in the boreal mixedwood forests of northwestern Alberta. Depth-to-water is an index of relative site moisture derived from the Wet Areas Mapping tool using a fine-scale digital elevation model based upon remotely-sensed lidar (light detection and ranging) data. Sample plots were placed along the depth-to-water moisture gradient in three forest types: conifer-dominated, mixedwood, and broadleaf -(deciduous) dominated. Understory vascular plant diversity, abundance, and composition were measured for each plot. We found understory attributes were related to the depth-to-water index with the relationships varying among forest types. In coniferous stands, diversity and abundance (cover) were higher on drier sites. In broadleaf and mixedwood stands, understory abundance was higher on drier sites, but diversity was not related to the depth-to-water index. Lastly, composition was significantly, but weakly, related to the depth-to-water index in all three forest types. Our study shows that this moisture index, based on remotely-sensed data, can be used to characterize patterns in understory vascular plant communities; hence it can be useful for identifying areas of particular interest for conservation or management. © 2019 The Authors
英文关键词	Boreal forest; Depth-to-water; EMEND; Moisture index; Understory vegetation
语种	英语
scopus关键词	Biodiversity; Conservation; Moisture; Optical radar; Remote sensing; Vegetation; Boreal forests; Depth-to-water; EMEND; Moisture index; Understory vegetation; Forestry; abundance; biodiversity; boreal forest; conservation management; conservation status; digital elevation model; index method; landscape; lidar; plant community; remote sensing; satellite data; species diversity; understory; vascular plant; vegetation cover; Biodiversity; Conservation; Forestry; Moisture; Plants; Remote Sensing; Alberta; Canada; Coniferophyta; Tracheophyta
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155919
作者单位	Department of Renewable Resources, University of Alberta, 751 General Services Building, Edmonton, AB T6G 2H1, Canada
推荐引用方式 GB/T 7714	Echiverri L.,Macdonald S.E.. Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest[J],2019,447.
APA	Echiverri L.,&Macdonald S.E..(2019).Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest.Forest Ecology and Management,447.
MLA	Echiverri L.,et al."Utilizing a topographic moisture index to characterize understory vegetation patterns in the boreal forest".Forest Ecology and Management 447(2019).