Health Assessment and Dynamic Evolution of Marine Fisheries Ecosystems in China
This article constructs an evaluation index system based on the basic logic and scientific connotation of ecosystem health,measures the health of marine fishery ecosystems and the levels of various element layers in 11 coastal provinces,cities,and autonomous regions of China from 2008 to 2021,and analyzes the distribution dynamic evolution and long-term transfer trends of China's marine fishery ecosystem health level using traditional and spatial Kernel density estimation methods.The study found that:in terms of the dynamic evolution characteristics,China's marine fishery ecosystem health level over time to improve the effect of significant,the absolute differences in the level of marine fishery ecosystem health of the various regions within the upward trend,and the polarisation phenomenon there is a tendency to aggravate.From the distribution curve of Element layer,the decline of marine fishery ecosystem vitality constrains the enhancement of marine fishery ecosystem health level;the change of marine fishery ecosystem resilience pulls the rising of marine fishery ecosystem health level.In terms of long-term transfer trend,without considering spatial factors,the health level of marine fishery ecosystems in coastal regions has strong stability and continuity,and it is less likely to achieve a leap in level within a three-year time span,and there is a possibility of"club convergence"to low and high levels.Considering the spatial factors,the evolution trend of the health level of China's marine fisheries ecosystem under the spatial dynamic conditions shows the phenomenon of"fault".Convergence exists between neighbouring areas at the critical level of 1.2-1.4 and the good level,while areas at the risk level of less than 0.6 and the good level of more than 1.4 are less likely to be spatially correlated with neighbouring areas.
marine fisheriesecosystem healthprojective tracer modelsKernel density estimation
NETL
NSTL
万方数据
