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Original Articles

Transformation from natural to wheat ecosystems enhances fine roots production and soil organic carbon input in an arid region

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Pages 449-467 | Received 30 Nov 2017, Accepted 05 Jan 2019, Published online: 07 Feb 2019
 

Abstract

In arid regions, fine roots turnover contributes directly to soil carbon and nutrient cycling. However, less information is available on how increasing agricultural activities influence those dynamics. Fine roots biomass, production, and turnover rate were measured by sequential soil cores based on the maximum–minimum method in the 0–60 cm soil layer in three agricultural ecosystems and three natural ecosystems. Most (87% in agricultural and 75% in natural ecosystems) fine roots were distributed in the upper 30 cm soil layer. Mean annual fine roots production and turnover were 457% and 464% greater in agricultural than in natural ecosystems. Soil organic carbon input by fine roots decomposition was 91 g m−2 yr−1 in agricultural and 11 g m−2 yr−1 in natural ecosystems. Both fine roots biomass and fine roots production were significantly higher for two winter wheat (Triticum aestivum) ecosystems from May to October, 2010. Soil pH ranged from 8.2 to 9.4. Soil water content in agricultural ecosystems was higher, whereas soil electrical conductivity was lower than that in natural ecosystems. pH, soil bulk density, gravimetric soil water content, and soil electrical conductivity significantly affected fine roots biomass, production, turnover, and decomposition in all ecosystems investigated. The findings increase our understanding of the soil carbon cycle after natural ecosystems are modified into agricultural ecosystems.

Acknowledgments

We acknowledge the Fukang Station of Desert Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences for providing the study site. We thank Yan Zhao, Guiying Liu, Zhongdong Lan, and Yuanli Li, for their valuable suggestions and help with the fieldwork and laboratory analysis.

Additional information

Funding

This work was funded by Science and Technology Department of Guizhou Province [Grant No. Qian Ke He LH Zi [2017]7288], Guizhou University [Grant No. guizi (2014)13], and Key Program of National Natural Science Foundation of China [Grant No. 41330749].

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