气候变化领域集成服务门户(CCPortal): Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR

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DOI	10.1016/j.rse.2020.111729
	Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR
	Klockow P.A.; Putman E.B.; Vogel J.G.; Moore G.W.; Edgar C.B.; Popescu S.C.
发表日期	2020
ISSN	00344257
卷号	241
英文摘要	Tree mortality from major disturbances can greatly increase dead wood in forested areas, affecting fire intensity and behavior, wildlife habitat, and carbon dynamics. Accurately quantifying regional standing dead tree (SDT) pools, as conducted by the U.S. Forest Service Forest Inventory and Analysis (FIA) program, remains a prominent challenge. Little empirical work has been done accounting for structural changes in SDT volume across decay classes due to measurement and sampling challenges associated with SDT. Light-detection-and-ranging (LiDAR) represents a remote sensing technology with the potential to improve sampling efficacy and provide volume estimates of SDT via non-destructive sampling. Following this, the goal of this study was to explore the feasibility of empirically quantifying and assessing structural volume in southern pine SDT by decay class using terrestrial LiDAR. To meet this goal, we addressed three objectives, 1) construct empirical volume estimates of SDT by decay class using terrestrial LiDAR and a voxel-based, volume calculation algorithm capable of accounting for occlusion and point cloud quality, 2) develop allometric relationships of aboveground SDT component volumes by decay class and assess error in models and predictions, and 3) quantify proportion-remaining volume of SDT components from terrestrial LiDAR-derived volumes relative to predicted intact tree volumes. This study represents the first to develop empirically-based, terrestrial LiDAR-derived allometric volume relationships and proportion-remaining volume of SDT by decay class. Results indicate that terrestrial LiDAR-derived volumes of SDT produced robust allometric equations by decay class for total above-stump and stem-plus-bark components (adjusted R2 = 0.94–0.98). Allometric relationships for tops-and-branches comprised more variability, likely impacted by scan quality, having adjusted R2 values of ~0.52–0.59. Notably, the inclusion of height in allometric relationships for total above-stump volume precluded the need for decay class as a covariate, accounting for the variability inherent in each decay class. Importantly, this means that total above-stump allometric equations could be effective under different decay class systems or, more broadly, where no decay classes were measured, thus providing broad utility. Empirically-derived proportion-remaining volume of SDT components followed expected decreasing trends by decay class. Interestingly, proportion-remaining volume for tops-and-branches closely matched theoretically-derived values from a previous FIA-related study. Ultimately, terrestrial LiDAR was critical for efficiently measuring volume of southern pine SDT by decay class and for developing SDT-specific allometric relationships of volume and estimates of structural change by decay class. This study showcases the feasibility of LiDAR-derived, SDT-specific tools for improved accounting of SDT resources in FIA and other inventories. © 2020 Elsevier Inc.
英文关键词	Allometry; Decay class; Forest Inventory and Analysis (FIA); Loblolly pine; Southern pine; Standing dead tree (SDT); Structural loss; Terrestrial laser scanning (TLS); Terrestrial LiDAR; Volume estimation; Voxel
语种	英语
scopus关键词	Biology; Decay (organic); Forestry; Remote sensing; Surveying instruments; Allometry; Decay class; Forest inventory and analysis; Loblolly pine; Southern pines; Standing dead trees; Structural loss; Terrestrial laser scanning; Terrestrial lidars; Volume estimations; Voxel; Optical radar; algorithm; allometry; coniferous tree; dead wood; estimation method; laser method; lidar; remote sensing; Pinus echinata; Pinus taeda
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/179384
作者单位	Department of Ecosystem Science and Management, Texas A&M University, 495 Horticulture Rd., College Station, TX 77843, United States; Formation Environmental, LLC, 1631 Alhambra Boulevard, Suite 220, Sacramento, CA 95816, United States; School of Forest Resources and Conservation, University of Florida, 1745 McCarty Dr., Gainesville, FL 32611, United States; Department of Forest Resources, University of Minnesota, 1530 Cleveland Ave. N., St. Paul, MN 55113, United States
推荐引用方式 GB/T 7714	Klockow P.A.,Putman E.B.,Vogel J.G.,et al. Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR[J],2020,241.
APA	Klockow P.A.,Putman E.B.,Vogel J.G.,Moore G.W.,Edgar C.B.,&Popescu S.C..(2020).Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR.Remote Sensing of Environment,241.
MLA	Klockow P.A.,et al."Allometry and structural volume change of standing dead southern pine trees using non-destructive terrestrial LiDAR".Remote Sensing of Environment 241(2020).