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Updated: Jan 11, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
Research on the spatial-temporal distribution characteristics of forest carbon stocks and the influencing factors
Boxin Zhang1, Yiman Zhang2, Chonglin Li1
1Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions/School of Geographical Sciences, Harbin Normal University, Harbi, 150025, China.
Abstract:
Forest carbon stocks constitute a vital strategic resource in addressing global climate change, which possesses irreplaceable significance in achieving climate goals and mitigating global warming. This study assessed and analyzed the changes in carbon stocks and their spatial-temporal distribution characteristics from 2002 to 2022 in the forests of the Great Xing'an Mountains region of China. The Geodetector was used for analyzing the influence of natural environmental factors on the spatial-temporal distribution of forest carbon stocks. The research showed that forest carbon stocks in the Great Xing'an Mountains region fluctuated overall, with higher values in the west and lower values in the southeast. The Centre of Gravity trajectory followed a left-tilted "W-shape," indicating a trend of dispersion, agglomeration, and dispersion. Environmental factors (mean annual temperature, elevation, and soil type) distinctly affected spatial differentiation, with their combined interactions significantly enhancing individual impacts. The study underscored the Great Xing'an Mountains region's significance in global climate strategies. Though it occupies a small fraction of China's land area, it is a vital carbon sink with substantial sequestration capacity, critical for climate mitigation. The findings provide targeted evidence for forest management policies.
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