Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics

Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics
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DOI:
10.1080/01431161.2018.1479793
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发表时间:
2018-06
影响因子:
3.4
通讯作者:
T. Gao;J. J. Zhu-J.;Q. Yan;S. Deng;X. Zheng;J. Zhang;G. Shang
T. Gao;J. J. Zhu-J.;Q. Yan;S. Deng;X. Zheng;J. Zhang;G. Shang
中科院分区:
工程技术3区
文献类型:
--
作者:
T. Gao;J. J. Zhu-J.;Q. Yan;S. Deng;X. Zheng;J. Zhang;G. Shang

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关于生长量和生物量的可靠空间信息对于制定人工林管理策略至关重要。利用l波段合成孔径雷达(SAR)数据与地面测量数据相结合,建立了东北地区落叶松人工林(125万平方公里)GSV和生物量的实证模型。利用最佳相关模型对生物量与GSVs进行映射。在264万公顷的总面积上,总GSV和生物量碳储量分别为224.3±5900万m3和113.0±29.7 × 1012 g C,平均密度分别为85.1 m3和42.9 106 g × C ha - 1。在260 m3 ha - 1以上确定了SAR的饱和效应,预计这将影响一小部分研究区域的估计。估算的精度主要受GSV库存量的不确定性、天然落叶松的区分和SAR数据集的限制。基于有限责任公司GSVs的映射结果,初步提出了一种多目标管理的规划策略。这项研究可以为政策和管理实践提供信息,以确保未来人工林获得更广泛和可持续的利益。
ABSTRACT Reliable spatial information on growing stock volume (GSV) and biomass is critical for creating management strategies for plantation forests. This study developed empirical models to map the GSV and biomass of larch plantations (LPs) in Northeast China (1.25 million km2 total area) by integrating L-band synthetic aperture radar (SAR) data with ground-based survey data. The best correlation model was used to map the GSVs and biomasses of LPs. The total GSV and biomass carbon storage were estimated at 224.3 ± 59.0 million m3 and 113.0 ± 29.7 × 1012 g C with average densities of 85.1 m3 ha−1 and 42.9 106 g × C ha−1, respectively, over a total area of 2.64 million ha. The saturation effect of SAR was determined beyond 260 m3 ha−1, which was expected to influence the estimations for a small proportion of the study area. The accuracy of the estimations has limitations mainly due to the uncertainties in the GSV inventories, discrimination of natural larch and the SAR dataset. Based on the mapping results of the GSVs of LPs, a planning strategy for multipurpose management was tentatively proposed. This study can inform policies and management practices to assure broader and sustainable benefits from plantation forests in the future.