气候变化领域集成服务门户(CCPortal): Incorporating LiDAR metrics into a structure-based habitat model for a canopy-dwelling species

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DOI	10.1016/j.rse.2019.111499
	Incorporating LiDAR metrics into a structure-based habitat model for a canopy-dwelling species
	Hagar J.C.; Yost A.; Haggerty P.K.
发表日期	2020
ISSN	00344257
卷号	236
英文摘要	The development of metrics derived from LiDAR to quantify structural attributes of forests has contributed to substantial advances in wildlife-habitat modeling. However, further exploration of the numerous metrics available for quantifying canopy complexity could improve models of forest wildlife habitat while simultaneously increasing understanding of wildlife-habitat relationships. We used the full set of metrics available in the LiDAR-processing software FUSION, including several structural metrics that have not previously been used in published habitat models, to identify those that best quantify structural attributes associated with nest site occupancy by the Northern Spotted Owl (NSO; Strix occidentalis caurina). We identified the best subset of predictor variables for building a parsimonious predictive model using an objective selection process of alternative MaxEnt models. The simple metric maximum canopy height was the single best predictor of NSO occupancy, but three rarely used structural metrics included in our final model provided a novel means of describing the distribution of vegetation throughout the canopy height profile. These metrics critically contributed to the model's ability to distinguish small patches of structurally complex suitable habitat within a matrix of structurally simple intermediate-aged forest. Our results indicate the potential value of rarely used LiDAR metrics readily available for objectively quantifying ecologically important but previously inaccessible habitat attributes for arboreal species. © 2019
英文关键词	Canopy height; Forest structure; FUSION; Light detection and ranging (LiDAR); Wildlife habitat
语种	英语
scopus关键词	Animals; Ecosystems; Forestry; Fusion reactions; Canopy heights; Forest structure; Light detection and ranging; Predictive modeling; Predictor variables; Processing software; Wildlife habitat relationship; Wildlife habitats; Optical radar; arboreal species; ecological modeling; forest canopy; forest ecosystem; habitat type; lidar; nest site; raptor; vegetation cover; wild population; Strix occidentalis caurina
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179577
作者单位	U.S Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, OR 97331, United States; Oregon Department of Forestry, Salem, OR 97310, United States
推荐引用方式 GB/T 7714	Hagar J.C.,Yost A.,Haggerty P.K.. Incorporating LiDAR metrics into a structure-based habitat model for a canopy-dwelling species[J],2020,236.
APA	Hagar J.C.,Yost A.,&Haggerty P.K..(2020).Incorporating LiDAR metrics into a structure-based habitat model for a canopy-dwelling species.Remote Sensing of Environment,236.
MLA	Hagar J.C.,et al."Incorporating LiDAR metrics into a structure-based habitat model for a canopy-dwelling species".Remote Sensing of Environment 236(2020).