Spatiotemporal dynamics of coastal aquaculture and driving force analysis in Southeastern China

Abstract

Introduction: Large-scale disordered coastal aquaculture development causes severe environmental problems. However, quantitative assessments of spatiotemporal dynamics and driving factors for coastal aquaculture are essential and urgent for coastal aquaculture sustainability. Outcomes: Using remote sensing products and geographic information science, we investigated the long-term landscape changes due to coastal aquaculture, and explored its underlying driving factors in the Ningde coastal region, Southeastern China. Results show that coastal aquaculture area increased from 90.65 km 2 in 2003 to 96.08 km 2 in 2016, and its structure underwent tremendous changes. The area of artificial shrimp ponds increased by 496.15% and the area of farmland ponds decreased by 25.81% between 2003 and 2016. In addition, we revealed that from 2003 to 2016, the change trends of the coastal aquaculture area and the entire Ningde coastal region were consistent, and became more fragmented and dispersive. Furthermore, regression results indicate that the growth and attenuation of coastal aquaculture areas were significantly affected by the initial coastal aquaculture area in 2003. Discussion and Conclusion: To sustainably manage the coastal ecosystems, we provide several recommendations (e.g., a coupled human and natural systems approach to understanding human-nature interactions, integrated assessment, and systematical spatial planning and monitoring) for future research and management.

A Google Earth Engine-Based Framework to Identify Patterns and Drivers of Mariculture Dynamics in an Intensive Aquaculture Bay in China

“…Changes in the area associated with mariculture are driven by a combination of types of mariculture, geographic factors, and anthropogenic factors (Figures 9 and 10). The main driving factors differ according to the types of mariculture, and this observation is consistent with results from previous studies [17,38].…”

“…The present study suggests that a larger initial mariculture area requires more financial resources and a greater capacity to build farming infrastructure. This highlights a strong capacity for expansion, which is consistent with findings from previous studies [38]. In addition, the farther mariculture units are from land and islands, the less likely the influence of humans.…”

“…Owing to the mariculture sector, the marine environment has been altered in many areas. Spatiotemporal variations in aquaculture are controlled by confluence, geographic, and human factors [17,38]. Based on interviews with 67 aquaculture farmers, economic incentives account for the conversion from agriculture to aquaculture in the Indian Sundarbans [39].…”

“…Based on interviews with 67 aquaculture farmers, economic incentives account for the conversion from agriculture to aquaculture in the Indian Sundarbans [39]. Additionally, analyses of factors controlling changes in aquacultures were mainly based on a regression model [17,38]. In contrast, GeoDetector is a robust and straight-forward method to quantify the influences of driving factors and their interactions [40].…”

Evaluation of the Condition of the Human Habitat Ecosystem in Anhui Province and Regional Spatial and Temporal Distribution Study

“…The research objects come mainly for the sustainable progression of a local biological ecosystem and habitat [13][14], regional differences and spatial influencing factors [15], and ecological security evaluation [16]. The research methods focus on The projection pursuit (PP) method [17], GIS and remote sensing [18]- [20], hierarchical analysis [21] [22], entropy value method [23] [24], Monte Carlo method [25], Topsis [26]- [28]. Of these, GIS and remote sensing are the most widely used.…”