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DOI10.1080/01431161.2019.1688420
Characterizing 40 years of natural Pinus sylvestris var. mongolica carbon stocks in Northeast China using stand age from remote sensing time series
Li, Xiufen1,2; Tian, Yicheng1,2; Zheng, Xiao2,3,4,5; Cong, Junxia1,2,3,4; Song, Lining2,3,4,5
通讯作者Zheng, Xiao
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2020
卷号41期号:6页码:2391-2409
英文摘要Remote sensing (RS)-assisted estimates of forest carbon stocks are essential for modelling carbon budgets at large scales. Research on the dynamic variations in forest biomass and carbon stocks is important to improve the sustainable use of forest resources and understand forest carbon budgets in China. The Honghuaerji region of the Inner Mongolia Autonomous Region is where Pinus sylvestris var. mongolica Litv. (MP) originated. MP forests contained the most important coniferous silvicultural tree species and were later introduced to the desert regions of northern China. However, there has been very little research on carbon stocks (vegetation and soil carbon) over time in the original MP forests. Our goal was to estimate the changes in the carbon stocks of the natural MP forests in the Honghuaerji region using a 40-year RS time series, forest survey data and laboratory data. First, we mapped MP forests and estimated forest ages based on Key Hole 9 and Landsat time series stacks from 1975 to 2015, and the estimated forest ages were shown to be consistent with the surveyed tree ages with a coefficient of determination (R-2) of 0.96. Second, fifteen vegetation indices were evaluated as indicators of diameter at breast height (DBH). Of these, tasselled cap greenness provided the best relationships, and an RS-based DBH equation was constructed with an R-2 of 0.65. Third, the carbon densities in the different ages of MP forests were obtained at regional scales. Finally, the dynamics of the carbon stocks in the natural MP forest ecosystem (including stems, branches, leaves, roots and soils) over 40 years were obtained. The results of this study indicated that the total MP forest ecosystem carbon stocks increased significantly from 7.36 +/- 1.92 Tg C in 1975 to 11.52 +/- 2.51 Tg C in 2015 at a rate of 1.42% year(-1), among which vegetation carbon stocks increased 5.54% year(-1) and soil carbon stocks increased 0.45% year(-1). The results reveal a notable carbon increase in the MP forests in the Honghuaerji region over the past four decades and provide information on the role of natural forest conservation and management in China in mitigating global climate change.
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000495155800001
WOS关键词TASSELLED CAP TRANSFORMATION ; SOIL ORGANIC-CARBON ; LEAF-AREA INDEX ; SANDY LAND ; VEGETATION DYNAMICS ; FOREST BIOMASS ; ABOVEGROUND BIOMASS ; MODIS ; ECOSYSTEMS ; DERIVATION
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
EI主题词2019-11-09
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/310797
作者单位1.Shenyang Agr Univ, Agron Coll, Shenyang, Liaoning, Peoples R China;
2.Chinese Acad Sci, Qingyuan Forest CERN, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China;
3.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang, Liaoning, Peoples R China;
4.Key Lab Management Nocommercial Forests, Shenyang, Liaoning, Peoples R China;
5.Chinese Acad Sci, Daqinggou Ecol Stn, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
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GB/T 7714
Li, Xiufen,Tian, Yicheng,Zheng, Xiao,et al. Characterizing 40 years of natural Pinus sylvestris var. mongolica carbon stocks in Northeast China using stand age from remote sensing time series[J],2020,41(6):2391-2409.
APA Li, Xiufen,Tian, Yicheng,Zheng, Xiao,Cong, Junxia,&Song, Lining.(2020).Characterizing 40 years of natural Pinus sylvestris var. mongolica carbon stocks in Northeast China using stand age from remote sensing time series.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(6),2391-2409.
MLA Li, Xiufen,et al."Characterizing 40 years of natural Pinus sylvestris var. mongolica carbon stocks in Northeast China using stand age from remote sensing time series".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.6(2020):2391-2409.
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