Optimization and Establishment of Soil Health Evaluation Framework in Black Soil Region Based on Multifunctionality: A Case Study of Fangzheng County, Heilongjiang Province, China

doi:10.1016/j.rsci.2026.03.008

Rice Science ›› 2026, Vol. 33 ›› Issue (4): 420-424.DOI: 10.1016/j.rsci.2026.03.008

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Optimization and Establishment of Soil Health Evaluation Framework in Black Soil Region Based on Multifunctionality: A Case Study of Fangzheng County, Heilongjiang Province, China

He Zhuoting¹^,²^,^#, Jiang Yu³^,^#, Ali Raza¹, Ma Qingxu⁴, Li Xiao¹, Kong Haimin⁵, Kong Yali¹, Zhu Lianfeng¹, Zhu Chunquan¹, Tian Wenhao¹, Wu Lianghuan⁴, Zhang Junhua¹, Jin Qianyu¹, Ma Chao²(), Cao Xiaochuang¹()

¹ State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
² College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
³ Heihe Branch of Heilongjiang Academy of Agricultural Sciences, Soil Quality Aihui Field Scientification Research Station of the Ministry of Agriculture and Rural Affairs, Heihe 712100, China
⁴ Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
⁵ Zhejiang Cultivated Land Quality and Fertilizer Administration Station, Hangzhou 310020, China

Received:2025-12-22 Accepted:2026-03-31 Online:2026-07-28 Published:2026-08-06
Contact: CAO Xiaochuang (caoxiaochuang@126.com); MA Chao (chaoma@ahau.edu.cn)
About author:^#These authors contributed equally to this work

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Abstract

He Zhuoting, Jiang Yu, Ali Raza, Ma Qingxu, Li Xiao, Kong Haimin, Kong Yali, Zhu Lianfeng, Zhu Chunquan, Tian Wenhao, Wu Lianghuan, Zhang Junhua, Jin Qianyu, Ma Chao, Cao Xiaochuang. Optimization and Establishment of Soil Health Evaluation Framework in Black Soil Region Based on Multifunctionality: A Case Study of Fangzheng County, Heilongjiang Province, China[J]. Rice Science, 2026, 33(4): 420-424.

Figures/Tables 1

Fig. 1. Soil health evaluation for farmland in Fangzheng county, Heilongjiang Province, China. A, Regression analysis of soil health index (SHI) of paddy and dryland soils derived from minimum dataset (MDS) and total data set (TDS), as well as their correlation with rice yield. B and C, SHI (B) and the proportion (C) of paddy and dryland soils falling into different health categories. D and E, Soil single-function indices (D), and their factor loadings and weights (E) of paddy and dryland soils. Bi, Biological function; En, Environmental function; Ec, Ecological function; Qu, Quality function. F, Relative importance of each MDS indicator in soil health evaluation determined by the random forest model. MSE, Mean squared error; FS, Fungal Shannon diversity; BOF, Bacterial observed features; CLT, Cultivated-layer thickness; βG, β-1,4-glucosidase; SOM, Soil organic matter; AK, Available potassium; LAP, Leucine aminopeptidase; NO3--N, Nitrate nitrogen; αG, α-Glucosidase; CEC, Cation exchange capacity; AP, Available phosphorus; MBC, Microbial biomass carbon; BS, Bacterial Shannon diversity; BD, Bulk density; NH4+-N, Ammonium nitrogen.

References 20

[1]	Bünemann E K, Bongiorno G, Bai Z G, et al. 2018. Soil quality: A critical review. Soil Biol Biochem, 120: 105-125.
[2]	Dong L Z, Yao X D, Zhang H J, et al. 2024. Microbial diversity is especially important for supporting soil function in low nitrogen ecosystems. Soil Biol Biochem, 194: 109442.
[3]	Duan X, Gunina A, Rui Y C, et al. 2024. Contrasting processes of microbial anabolism and necromass formation between upland and paddy soils across regional scales. Catena, 239: 107902.
[4]	Huang F, Tu J M, Zhang F Y, et al. 2025. Soil health assessment of urban forests in Nanchang, China: Establishing a minimum data set model. Soil Biol Biochem, 206: 109795.
[5]	Hurni H, Giger M, Liniger H, et al. 2015. Soils, agriculture and food security: The interplay between ecosystem functioning and human well-being. Curr Opin Environ Sustain, 15: 25-34.
[6]	Jin H F, Shi D M, Chen Z F, et al. 2018. Evaluation indicators of cultivated layer soil quality for red soil slope farmland based on cluster and PCA analysis. Trans Chin Soc Agric Eng, 34(7): 155-164. (in Chinese with English abstract)
[7]	Kölbl A, Schad P, Jahn R, et al. 2014. Accelerated soil formation due to paddy management on marshlands (Zhejiang Province, China). Geoderma, 228: 67-89.
[8]	Lehmann J, Bossio D A, Kögel-Knabner I, et al. 2020. The concept and future prospects of soil health. Nat Rev Earth Environ, 1(10): 544-553.
[9]	Liu B, Wen Y R, Lin L T, et al. 2024. Variations in soil quality indicators under different cultivation ages and slope positions of arable land in the Mollisol region of China. Catena, 246: 108418.
[10]	Luo J P, Liao G C, Banerjee S, et al. 2023. Long-term organic fertilization promotes the resilience of soil multifunctionality driven by bacterial communities. Soil Biol Biochem, 177: 108922.
[11]	Manning P, van der Plas F, Soliveres S, et al. 2018. Redefining ecosystem multifunctionality. Nat Ecol Evol, 2(3): 427-436.
[12]	Moebius-Clune B N, Moebius-Clune D J, Gugino B K, et al. 2017. Comprehensive Assessment of Soil Health-The Cornell Framework. New York, USA: Cornell University.
[13]	Nunes M R, Karlen D L, Veum K S, et al. 2020. Biological soil health indicators respond to tillage intensity: A US meta-analysis. Geoderma, 369: 114335.
[14]	Schulte R P O, Creamer R E, Donnellan T, et al. 2014. Functional land management: A framework for managing soil-based ecosystem services for the sustainable intensification of agriculture. Environ Sci Policy, 38: 45-58.
[15]	Su H, Yang Z H, Liu Z Y, et al. 2024. Applicability of soil health assessment dominated by biological indicators in facility agriculture. Sci Total Environ, 957: 177346.
[16]	Willoughby C M, Topp C F E, Hallett P D, et al. 2023. Soil health metrics reflect yields in long-term cropping system experiments. Agron Sustain Dev, 43(5): 65.
[17]	Yang W G. 2016. A study on the impact of soil erosion on soil quality and maize yield in a typical black soil region. Beijing, China: University of the Chinese Academy of Sciences. (in Chinese with English abstract)
[18]	Yang T, Liu X, Tedersoo L, et al. 2026. Fungal diversity drives soil health and agricultural sustainability in black soils. Sci Bull, 71(8): 1932-1936.
[19]	Zhang B Y, Zhang Z H, Bai X L, et al. 2024. Long-term rice cultivation enhances root development and yields by improving the structural properties of soil aggregates in saline-alkaline environments. Environ Technol Innov, 36: 103848.
[20]	Zhang Z Y, Xie D X, Teng W H, et al. 2025. A state of art review on carbon, nitrogen, and phosphorus cycling and efficient utilization in paddy fields. Plant Soil, 513(2): 1689-1709.

Optimization and Establishment of Soil Health Evaluation Framework in Black Soil Region Based on Multifunctionality: A Case Study of Fangzheng County, Heilongjiang Province, China

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