EVALUATION OF SOIL QUALITY AND ANALYSIS OF DRIVING FACTORS OF JUJUBE FORESTS IN THE LOESS HILLY AREAS WITH ABANDONED MOUNTAINS

The evolution mechanism of soil quality of abandoned montane jujube forests in loess hilly areas is still unclear.In this study, we analyzed the driving mechanism of soil quality (SQ) by using principal component analysis, fuzzy evaluation and partial least squares structural equation modeling PLS-SEM with different abandonment years (1, 6, 10, 15, and 20 years) in montane jujube forests and abandoned grasslands in Yanchuan County.The results showed that the number of years of abandonment significantly increased the soil quality index (SQI), and the 20-year abandonment of date palm forest reached the highest value (0.669), which was significantly higher than that of abandonment of grassland (0.331).The results of structural equation modeling showed that organic carbon (SOC), quick-acting phosphorus (AP), total nitrogen (TN) and urease activity (URE) positively drove the SQ, while soil water content (SWC) and pH had negative effects on it.Long-term abandonment promotes ecological recovery by improving soil nutrients and microbial enzyme activities, and provides a scientific basis for the management of degraded date palm forests in loess hilly areas.

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Publication Details

Journal
Applied Ecology and Environmental Research
Published
2025-01-01
DOI
https://doi.org/10.15666/aeer/2305_92559268
Primary Topic
Forest, Soil, and Plant Ecology in China
Type
article
Field-Weighted Citation Impact
0.00

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article

EVALUATION OF SOIL QUALITY AND ANALYSIS OF DRIVING FACTORS OF JUJUBE FORESTS IN THE LOESS HILLY AREAS WITH ABANDONED MOUNTAINS

Y.F. WANG, Guangquan Liu, Kaixuan Zang, Ning Ai et al.
Applied Ecology and Environmental Research
Forest, Soil, and Plant Ecology in China
article

EVALUATION OF SOIL QUALITY AND ANALYSIS OF DRIVING FACTORS OF JUJUBE FORESTS IN THE LOESS HILLY AREAS WITH ABANDONED MOUNTAINS

Y.F. WANG, Guangquan Liu, Kaixuan Zang, Ning Ai, Changchun Liu, Fangfang Qiang
article en

Abstract

The evolution mechanism of soil quality of abandoned montane jujube forests in loess hilly areas is still unclear.In this study, we analyzed the driving mechanism of soil quality (SQ) by using principal component analysis, fuzzy evaluation and partial least squares structural equation modeling PLS-SEM with different abandonment years (1, 6, 10, 15, and 20 years) in montane jujube forests and abandoned grasslands in Yanchuan County.The results showed that the number of years of abandonment significantly increased the soil quality index (SQI), and the 20-year abandonment of date palm forest reached the highest value (0.669), which was significantly higher than that of abandonment of grassland (0.331).The results of structural equation modeling showed that organic carbon (SOC), quick-acting phosphorus (AP), total nitrogen (TN) and urease activity (URE) positively drove the SQ, while soil water content (SWC) and pH had negative effects on it.Long-term abandonment promotes ecological recovery by improving soil nutrients and microbial enzyme activities, and provides a scientific basis for the management of degraded date palm forests in loess hilly areas.

Applied Ecology and Environmental ResearchVol. 23(5)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Forest, Soil, and Plant Ecology in China
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EVALUATION OF SOIL QUALITY AND ANALYSIS OF DRIVING FACTORS OF JUJUBE FORESTS IN THE LOESS HILLY AREAS WITH ABANDONED MOUNTAINS — Y.F. WANG, Guangquan Liu, et al. · Applied Ecology and Environmental Research (2025) | TGRS Research Map | TGRS