Exploration on Governance Sequence of National Key Soil Erosion Control Areas in Heilongjiang Province
Received date: 2025-08-05
Revised date: 2025-11-03
Online published: 2025-12-11
To determine the governance sequence of national key soil erosion control areas in Heilongjiang Province, this study incorporated multi-dimensional indicators, namely the proportion of area with a slope of ≥8°, the proportion of area with moderate or higher soil erosion intensity, gully density, and gully fissure degree. First, the entropy weight method was employed to calculate the weight of each indicator and compute scores for small watersheds. Subsequently, the natural break method was utilized to classify the governance sequence of these watersheds.Results indicated that the Gini coefficients of the indicators ranged from 0.363 to 0.720, and their classification results exhibited a general imbalance at both the small watershed and administrative region levels. The number of small watersheds categorized into urgent, priority, and regular governance sequences presented a "pyramid-like" distribution. For the area of small watersheds under different governance sequences, the Kruskal-Wallis test all resulted in p < 0.001, thus indicating statistically significant differences.Small watersheds under the urgent governance sequence were primarily concentrated in low mountain and hilly areas. These watersheds accounted for 11.35% of the total area of all studied small watersheds, yet hosted 25.13% of the total number of erosion gullies. Among all administrative regions, Muling City had the highest number of small watersheds under the urgent governance sequence and also contained the greatest number of erosion gullies within these watersheds.This research outcome may serve as a basis for implementing differentiated soil erosion control strategies.
ZHOU Ning , LI Chao , SUN He-qiang , LIU Feng-fei , SHI Yan-lin , WANG Zhao-xue , ZHENG Ya-xin . Exploration on Governance Sequence of National Key Soil Erosion Control Areas in Heilongjiang Province[J]. Journal of Changjiang River Scientific Research Institute, 0 : 0 . DOI: 10.11988/ckyyb.20250731
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