Zoning the soil salinization levels in the northern China’s coastal areas based on high-resolution soil mapping

• Large-scale and high-resolution soil salinization maps in coastal areas were generated. • The mapping has achieved high accuracy with a relative-root mean squared error of 0.31. • Soil salinization level showed polarization: extremely low and high levels covered the most. • Soil salinity varied from coastline to inner land and across different types of coasts and land covers. • Coastline and ecological quality were the major factors in alongshore and inland areas, respectively. Zoning the soil salinization levels in large-scale coastal areas is vital for understanding the spatiotemporal mechanism of soil salinization and guiding the coastal integrated management. However, it is difficult due to the complicated influencing factors and the high demands for a fine mapping resolution and precise simulation results. In the present study, the northern China’s coastal areas (> 6 4000 km 2 ) were selected as the study area, and extensive field investigation, multispectral remote sensing images, and open-source land cover data served as the data source. A simulation unit of 100 m × 100 m was employed to precisely map the soil salinity (SS) based on a predictor system that covered different aspects of influencing factors, and high-resolution soil salinization maps were generated for the entire study area and different cities. Results indicated that the mapping obtained a relative-root mean squared error of 0.31, which was in a low level and denoted a high accuracy compared with previous studies. The soil salinization levels presented the following spatial heterogeneities: (1) The levels showed distinct polarization, that is, extremely low and high levels covered the most of the study area. (2) The SS exhibited a distinct decrease from the coastline to the inner land, and wetlands and water areas exhibited much higher SS than the remaining land cover types. (3) Muddy coasts suffered more severe soil salinization than rocky and sandy coasts in the alongshore areas. (4) The inner land was generally free from the salinization but some small patches of bare lands and water areas were still at risk. (5) Dongying, Binzhou, Weifang, and Yancheng Cities suffered much more distinct soil salinization than the remaining cities. The coastline and ecological quality were the major factors that determine the spatial pattern of soil salinization in the alongshore and inland areas, respectively.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2025-03-01
DOI
https://doi.org/10.1016/j.ecolind.2025.113303
Citations
1
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zoning the soil salinization levels in the northern China’s coastal areas based on high-resolution soil mapping

Yuan Chi, Min Fan, Yubing Qu, Zhiwei Zhang
1 citations
Ecological Indicators
Soil Geostatistics and Mapping
0.80
article

Zoning the soil salinization levels in the northern China’s coastal areas based on high-resolution soil mapping

Yuan Chi, Min Fan, Yubing Qu, Zhiwei Zhang
article en
1 citations

Abstract

• Large-scale and high-resolution soil salinization maps in coastal areas were generated. • The mapping has achieved high accuracy with a relative-root mean squared error of 0.31. • Soil salinization level showed polarization: extremely low and high levels covered the most. • Soil salinity varied from coastline to inner land and across different types of coasts and land covers. • Coastline and ecological quality were the major factors in alongshore and inland areas, respectively. Zoning the soil salinization levels in large-scale coastal areas is vital for understanding the spatiotemporal mechanism of soil salinization and guiding the coastal integrated management. However, it is difficult due to the complicated influencing factors and the high demands for a fine mapping resolution and precise simulation results. In the present study, the northern China’s coastal areas (> 6 4000 km 2 ) were selected as the study area, and extensive field investigation, multispectral remote sensing images, and open-source land cover data served as the data source. A simulation unit of 100 m × 100 m was employed to precisely map the soil salinity (SS) based on a predictor system that covered different aspects of influencing factors, and high-resolution soil salinization maps were generated for the entire study area and different cities. Results indicated that the mapping obtained a relative-root mean squared error of 0.31, which was in a low level and denoted a high accuracy compared with previous studies. The soil salinization levels presented the following spatial heterogeneities: (1) The levels showed distinct polarization, that is, extremely low and high levels covered the most of the study area. (2) The SS exhibited a distinct decrease from the coastline to the inner land, and wetlands and water areas exhibited much higher SS than the remaining land cover types. (3) Muddy coasts suffered more severe soil salinization than rocky and sandy coasts in the alongshore areas. (4) The inner land was generally free from the salinization but some small patches of bare lands and water areas were still at risk. (5) Dongying, Binzhou, Weifang, and Yancheng Cities suffered much more distinct soil salinization than the remaining cities. The coastline and ecological quality were the major factors that determine the spatial pattern of soil salinization in the alongshore and inland areas, respectively.

Ecological IndicatorsVol. 172
Ministry of Ecology and Environment (CN), Ministry of Natural Resources (CN), First Institute of Oceanography (CN), Nanjing Institute of Environmental Sciences (CN)
Life below water
Openalex Percentile: Top 32%
Soil Geostatistics and Mapping
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.