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Article

Temporal and Spatial Changes of Soil Organic Carbon Stocks in the Forest Area of Northeastern China

by 1,2,3,4, 3, 1, 1,2,* and 1,2,*
1
College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, China
2
Key Laboratory of Northeast Cultivated Land Conservation, Ministry of Agriculture of the People’s Republic of China, Shenyang Agricultural University, Shenyang 110866, China
3
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN 47907, USA
4
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
*
Authors to whom correspondence should be addressed.
Forests 2019, 10(11), 1023; https://doi.org/10.3390/f10111023
Received: 27 October 2019 / Revised: 10 November 2019 / Accepted: 13 November 2019 / Published: 14 November 2019
(This article belongs to the Special Issue Organic Carbon Pools and Storage in Forest Soil)
Forest soil organic carbon (SOC) accounts for a large portion of global soil carbon stocks. Accurately mapping forest SOC stocks is a necessity for quantifying forest carbon cycling and forest soil sustainable management. In this study, we used a boosted regression trees (BRT) model to predict the spatial distribution of SOC stocks during two time periods (1990 and 2015) and calculated their spatiotemporal changes during 25 years in Liaoning Province, China. A total of 367 (1990) and 539 (2015) sampling sites and 9 environmental variables (climate, topography, remote sensing) were used in the BRT model. The ten-fold cross-validation technique was used to evaluate the prediction performance and uncertainty of the BRT model in two periods. It was found that the BRT model could account for 65% and 59% of SOC stocks, respectively for the two periods. MAP and NDVI were the main environmental variables controlling the spatial variability of SOC stocks. Over the 25-year period, the average SOC stocks increased from 5.66 to 6.61 kg m−2. In the whole study area, the SOC stocks were the highest in the northeast, followed by the southwest, and the lowest in the middle of the spatial distribution pattern in the two periods. Our accurate mapping of SOC stocks, their spatial distribution characteristics, influencing factors, and main controlling factors in forest areas will assist soil management and help assess environmental changes in the region. View Full-Text
Keywords: forest soil; soil organic carbon stocks; spatial variation; environment variable forest soil; soil organic carbon stocks; spatial variation; environment variable
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MDPI and ACS Style

Wang, S.; Zhuang, Q.; Yang, Z.; Yu, N.; Jin, X. Temporal and Spatial Changes of Soil Organic Carbon Stocks in the Forest Area of Northeastern China. Forests 2019, 10, 1023. https://doi.org/10.3390/f10111023

AMA Style

Wang S, Zhuang Q, Yang Z, Yu N, Jin X. Temporal and Spatial Changes of Soil Organic Carbon Stocks in the Forest Area of Northeastern China. Forests. 2019; 10(11):1023. https://doi.org/10.3390/f10111023

Chicago/Turabian Style

Wang, Shuai, Qianlai Zhuang, Zijiao Yang, Na Yu, and Xinxin Jin. 2019. "Temporal and Spatial Changes of Soil Organic Carbon Stocks in the Forest Area of Northeastern China" Forests 10, no. 11: 1023. https://doi.org/10.3390/f10111023

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