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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| Wydane w: | Remote Sensing vol. 17, no. 8 (2025), p. 1365 |
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| 1. autor: | |
| Kolejni autorzy: | , , , , , |
| Wydane: |
MDPI AG
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| Hasła przedmiotowe: | |
| Dostęp online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3194640352 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs17081365 |2 doi | |
| 035 | |a 3194640352 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a Hu, Yawei |u School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; huyawei@bjfu.edu.cn (Y.H.); hmm3230681@bjfu.edu.cn (M.H.); | |
| 245 | 1 | |a Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Laser Scanning Data | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Carbon cycle | ||
| 653 | |a Height | ||
| 653 | |a Gullies | ||
| 653 | |a Forestry | ||
| 653 | |a Scanners | ||
| 653 | |a Scientific validity | ||
| 653 | |a Laser applications | ||
| 653 | |a Segmentation | ||
| 653 | |a Vegetation | ||
| 653 | |a Watersheds | ||
| 653 | |a Lidar | ||
| 653 | |a Feasibility studies | ||
| 653 | |a Trees | ||
| 653 | |a Density | ||
| 653 | |a Forests | ||
| 653 | |a Climate change | ||
| 653 | |a Dendrochronology | ||
| 653 | |a Water conservation | ||
| 653 | |a Remote sensing | ||
| 653 | |a Spatial data | ||
| 653 | |a Forest ecosystems | ||
| 653 | |a Lasers | ||
| 653 | |a Root-mean-square errors | ||
| 653 | |a Terrestrial ecosystems | ||
| 653 | |a Climate change mitigation | ||
| 653 | |a Methods | ||
| 653 | |a Plantations | ||
| 653 | |a Parameter estimation | ||
| 653 | |a Accuracy | ||
| 653 | |a Regression models | ||
| 653 | |a Biomass | ||
| 653 | |a Plateaus | ||
| 653 | |a Carbon sequestration | ||
| 653 | |a Forest biomass | ||
| 653 | |a Ecological research | ||
| 653 | |a Data collection | ||
| 653 | |a Tree rings | ||
| 653 | |a Carbon sinks | ||
| 653 | |a Morphology | ||
| 653 | |a Estimation | ||
| 700 | 1 | |a Sun Ruoxiu |u China Agricultural Museum, Beijing 100125, China; sunruoxiu0331@126.com | |
| 700 | 1 | |a He Miaomiao |u School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; huyawei@bjfu.edu.cn (Y.H.); hmm3230681@bjfu.edu.cn (M.H.); | |
| 700 | 1 | |a Zhao Jiongchang |u School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; huyawei@bjfu.edu.cn (Y.H.); hmm3230681@bjfu.edu.cn (M.H.); | |
| 700 | 1 | |a Yang, Li |u School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; huyawei@bjfu.edu.cn (Y.H.); hmm3230681@bjfu.edu.cn (M.H.); | |
| 700 | 1 | |a Huang Shengze |u Asia Air Survey Co., Ltd., Tokyo 160-0023, Japan | |
| 700 | 1 | |a Zhang, Jianjun |u School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; huyawei@bjfu.edu.cn (Y.H.); hmm3230681@bjfu.edu.cn (M.H.); | |
| 773 | 0 | |t Remote Sensing |g vol. 17, no. 8 (2025), p. 1365 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3194640352/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3194640352/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3194640352/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |