Correlation Analysis of Landscape Patterns with Surface Water Quality in Yancheng Coastal Wetland, Jiangsu, China

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 (NH 4 + -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

A Fuzzy Neural Network Approach for Evaluation of Wetland Restoration Programmes

“…In the current situation, China's coastal wetlands are facing a severe situation, the rapid economic development, climate change and human activities brought about by the huge challenges, resulting in the serious loss of coastal wetland resources; degradation is serious, there has been a sharp decline in the area, and cause of ecological and environmental problems [4]. The emergence of a series of wetland problems highlights the importance and urgency of wetland protection and restoration [5].…”

Spatiotemporal Change of Landscape Elasticity in Yancheng Coastal Wetland of China

“…Studying the elasticity of its ecosystem is of great significance for maintaining regional biodiversity. Extensive research has been carried out on specific population dynamics, hydrological connectivity, landscape change, habitat quality and suitability assessment, ecosystem stability, habitat restoration and other relevant studies, laying a foundation for landscape elasticity research (Lei, 2020;Tian, 2020;Li, 2021;Song et al, 2021;Wang et al, 2021Wang et al, , 2022Xu, 2021;Zhou, 2021;). Therefore, this article takes Yancheng coastal wetland as the research object and establishes the landscape elasticity evaluation model to analyze the temporal and spatial changes of landscape elasticity from the three dimensions of ecosystem service function, ecological vulnerability and the intensity of surface human activities by RS and GIS technology.…”