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Estimating Spatiotemporal Dynamics of Carbon Storage in Roinia pseudoacacia Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Laser Scanning Data

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Publicado en:Remote Sensing vol. 17, no. 8 (2025), p. 1365
Autor principal: Hu, Yawei
Otros Autores: Sun Ruoxiu, He Miaomiao, Zhao Jiongchang, Yang, Li, Huang Shengze, Zhang, Jianjun
Publicado:
MDPI AG
Materias:
Carbon cycle
Height
Gullies
Forestry
Scanners
Scientific validity
Laser applications
Segmentation
Vegetation
Watersheds
Lidar
Feasibility studies
Trees
Density
Forests
Climate change
Dendrochronology
Water conservation
Remote sensing
Spatial data
Forest ecosystems
Lasers
Root-mean-square errors
Terrestrial ecosystems
Climate change mitigation
Methods
Plantations
Parameter estimation
Accuracy
Regression models
Biomass
Plateaus
Carbon sequestration
Forest biomass
Ecological research
Data collection
Tree rings
Carbon sinks
Morphology
Estimation
Acceso en línea:Citation/Abstract
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Resumen:Forest ecosystems play a pivotal role in the global carbon cycle and climate change mitigation. Forest aboveground biomass (AGB), a critical indicator of carbon storage and sequestration capacity, has garnered significant attention in ecological research. Recently, uncrewed aerial vehicle-borne laser scanning (ULS) technology has emerged as a promising tool for rapidly acquiring three-dimensional spatial information on AGB and vegetation carbon storage. This study evaluates the applicability and accuracy of UAV-LiDAR technology in estimating the spatiotemporal dynamics of AGB and vegetation carbon storage in Robinia pseudoacacia (R. pseudoacacia) plantations in the gully regions of the Loess Plateau, China. At the sample plot scale, optimal parameters for individual tree segmentation (ITS) based on the canopy height model (CHM) were determined, and segmentation accuracy was validated. The results showed root mean square error (RMSE) values of 13.17 trees (25.16%) for tree count, 0.40 m (3.57%) for average tree height (AH), and 320.88 kg (16.94%) for AGB. The regression model, which links sample plot AGB with AH and tree count, generated AGB estimates that closely matched the observed AGB values. At the watershed scale, ULS data were used to estimate the AGB and vegetation carbon storage of R. pseudoacacia plantations in the Caijiachuan watershed. The analysis revealed a total of 68,992 trees, with a total carbon storage of 2890.34 Mg and a carbon density of 62.46 Mg ha−1. Low-density forest areas (<1500 trees ha−1) dominated the landscape, accounting for 94.38% of the tree count, 82.62% of the area, and 92.46% of the carbon storage. Analysis of tree-ring data revealed significant variation in the onset of growth decline across different density classes of plantations aged 0–30 years, with higher-density stands exhibiting delayed growth decline compared to lower-density stands. Compared to traditional methods based on diameter at breast height (DBH), carbon storage assessments demonstrated superior accuracy and scientific validity. This study underscores the feasibility and potential of ULS technology for AGB and carbon storage estimation in regions with complex terrain, such as the Loess Plateau. It highlights the importance of accounting for topographic factors to enhance estimation accuracy. The findings provide valuable data support for density management and high-quality development of R. pseudoacacia plantations in the Caijiachuan watershed and present an efficient approach for precise forest carbon sink accounting.
ISSN:2072-4292
DOI:10.3390/rs17081365
Fuente:Advanced Technologies & Aerospace Database