| Issue |
BCAS
Volume 39, 2025
|
|
|---|---|---|
| Article Number | 2025007 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/bcas/2025007 | |
| Published online | 22 December 2025 | |
Article
Key Principles and Techniques for Controlling Black Soil Degradation and Enhancing Fertility in Northeast China
a
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
b
Bureau of Science and Technology for Sustainable Development, Chinese Academy of Sciences, Beijing, China
c
Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
d
Engineering Laboratory of Intelligent Agricultural Machinery Equipment, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
e
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
f
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
g
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
h
Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
* Corresponding author. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
(ZHANG J.)
Northeast China hosts one of the world’s four major black soil regions, accounting for approximately 36 million hectares of cultivated land. Producing one-quarter of China’s total grain output and one-third of its commercial grain transfers, this region serves as a vital cornerstone for national food security. However, unsustainable land use and climate change have driven severe soil degradation, manifesting as thinning topsoil, declining organic matter, and increased bulk density—collectively threatening sustainable production. To address these challenges, we conducted a five-year intensive study, and proposed an innovative degradation control theory centered on “enhancing inherent stable soil fertility”. A targeted technological system was developed, with emphasis on the incorporation of multi-source organic materials and optimized tillage practices, to overcome key technical barriers to soil restoration under intensive farming. Furthermore, in light of regional variations in environmental conditions and soil constraints, locally adapted models for black soil conservation—such as the “Longjiang Model”, “Lishu Model 2.0”, and “Da’an Model”, have been established. In core demonstration areas, these approaches achieved notable outcomes: Soil organic matter increased by 13–17%, soil erosion intensity decreased by more than 80%, and crop yields improved by 5.4–14.2%. This study provides robust scientific support for national strategies aimed at conserving and sustainably utilizing black soil resources.
Key words: black soil / soil degradation / inherent stable fertility / protection models / food security
Cite this article as: JIANG Ming, JIA Zhongjun, LI Lujun, ZOU Wenxiu, LIANG Aizhen, LIU Huanjun,WANG Hongsheng, ZENG Yan, TIAN Chunjie, CAO Xiaofeng, ZHANG Yucheng, LIU Guohua, LENG Guoyong, ZHANG Lili, HUANG Yingxin, CHEN Haihua, LIAO Xiaoyong, CUI Mingxing, and ZHANG Jiabao. (2025) Key Principles and Techniques for Controlling Black Soil Degradation and Enhancing Fertility in Northeast China. Bulletin of the Chinese Academy of Sciences, 39, 2025007. DOI: https://doi.org/10.1051/bcas/2025007
ZHANG Jiabao, an academician of the Chinese Academy of Engineering and a researcher at the Institute of Soil Science, Chinese Academy of Sciences, focuses on soil physics and eco-hydrology. His research encompasses soil water and material cycling system simulation, rapid acquisition of soil information, and theories and technologies for the improvement of low-yield croplands and enhancement of soil fertility. His key achievements include creating theoretical and technical systems for classifying and eliminating soil constraints and rapidly boosting soil fertility, which have guided the transition of soil improvement towards precise and targeted solutions.
© 2025 by the Chinese Academy of Sciences and published by the journal Bulletin of the Chinese Academy of Sciences.
This paper is licensed and distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives license 4.0 as given at https://creativecommons.org/licenses/by-nc-nd/4.0/.
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