ORIGINAL RESEARCH
Correlation Analysis of Landscape Patterns
with Surface Water Quality in Yancheng Coastal
Wetland, Jiangsu, China
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1
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211,China
2
Institute of East China Sea, Ningbo University, Ningbo 315211,China
3
Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization
and Governance Research at Ningbo University, Ningbo 315211,China
4
School of Geosciences, University of South Florida, Tampa, FL 33620-5250, USA
5
School of Law, Ningbo University, Ningbo 315211, China
Submission date: 2020-08-12
Final revision date: 2021-01-08
Acceptance date: 2021-01-25
Online publication date: 2021-08-30
Publication date: 2021-09-22
Pol. J. Environ. Stud. 2021;30(5):4731-4746
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ABSTRACT
Quantitatively exploring a relationship between coastal wetland landscape pattern and water quality
(WQ) is conducive to providing scientific guidance for the improvement of regional WQ, the prevention
of water pollution, and the formulation of regional landscape protection and planning. With the 2019
landscape data and WQ sampling data from the Yancheng Coastal Wetland, five-level WQ sampling
points at different scales were established. By applying ecological and statistical analysis methods,
correlations between the landscape patterns and WQ indicators in different buffer zones were analyzed.
Analysis results showed that: (1) The area of aquafarm, farmland and dry ponds were widely distributed
at different scales, and the landscape level index and type level index in different buffer zones were
significantly different. (2) There were significant correlations between coastal wetland landscape types
and WQ indicators. Total nitrogen, total phosphorus, ammonia nitrogen (NH4+-N), WQ indicators
showed significant positive correlations with farmland landscapes in 0.5 km, 1 km, 2 km, and 2.5 km
buffer zones, and significant negative correlations with tidal flats in 0.5 km-2.5 km buffer zones.
The Chemical Oxygen Demand index was significantly correlated with various landscapes in the area.
(3) At the landscape level, the landscape level index, which represents the fragmentation and complexity
of coastal wetland landscapes, had a significant correlation with water pollution indicators, such as
mean patch areas, fractal dimension, landscape shape index, plaque cohesion, contagion index and other
indexes. At the level of landscape class, farmland, aquafarm, dry ponds, construction land in artificial wetlands, and various types of level indexes of Suaeda salsa, Phragmites communis, and Spartina
alterniflora in natural wetlands were highly correlated with WQ indicators.