DOI: 10.1080/01431161.2019.1688420
论文题名: Characterizing 40 years of natural Pinus sylvestris var. mongolica carbon stocks in Northeast China using stand age from remote sensing time series
作者: Li X. ; Tian Y. ; Zheng X. ; Cong J. ; Song L.
刊名: International Journal of Remote Sensing
ISSN: 1431161
出版年: 2020
卷: 41, 期: 6 语种: 英语
Scopus关键词: Budget control
; Carbon
; Climate change
; Conservation
; Ecosystems
; Remote sensing
; Soils
; Surveys
; Time series
; Value engineering
; Vegetation
; Diameter-at-breast heights
; Dynamic variations
; Forest carbon budgets
; Forest ecosystem
; Global climate changes
; Inner Mongolia autonomous regions
; Landsat time series
; Soil carbon stock
; Forestry
; biomass
; carbon budget
; coniferous forest
; coniferous tree
; forest ecosystem
; forest management
; forest resource
; remote sensing
; silviculture
; China
; Nei Monggol
; Pinus sylvestris
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 (R2) 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 R2 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. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158658
Appears in Collections: 气候变化与战略
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作者单位: Agronomy College, Shenyang Agricultural University, Shenyang, Liaoning, China; Qingyuan Forest CERN, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China; CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China; Key Laboratory for Management of No-commercial Forests, Shenyang, Liaoning, China; Daqinggou Ecological Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
Recommended Citation:
Li X.,Tian Y.,Zheng X.,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]. International Journal of Remote Sensing,2020-01-01,41(6)