The Evaluation Method of the Marine Spatial Suitability for Islands from the Perspective of Sustainable Development: A Case Study of the Pingtan Islands
Abstract
:1. Introduction
2. Literature Review
3. Date and Methods
3.1. Study Area and Date
3.2. Methods
3.2.1. Classification of the Sea Area Space around the Islands
- (1)
- Marine construction space
- (2)
- Marine agricultural production space
- (3)
- Marine ecological space
3.2.2. Construction of the Spatial Suitability Evaluation Index System
- (1)
- Evaluation indexes and weights
- (2)
- Measurement of the index data
- 1)
- Marine resources evaluation
The marine resources evaluation indexes (Z) included the resource effect index and the development effect index, which were mainly used to characterize the different levels of comprehensive influence on the marine space resources by different types of sea areas, and its formula was as follows:The marine resource effect index was evaluated based on the effect of marine development activities in the main functional marine areas for marine space resources. Referring to the technical method in the Monitoring and Early-warning Technical Methods of Resources and Environment Carrying Capacity (Trial) [25], consumption coefficients of different types of functional areas for marine space resources were established, as shown in Table 2. The formula for calculating the marine resource effect index () was as follows:The development effect index was evaluated based on the area of various sea activities and influence weight to construct the spatial influence coefficients of different sea activities, as shown in Table 3. The formula for the development effect index () was as follows:- 2)
- Evaluation of the marine environment
As the carrier of the marine ecosystem, seawater is crucial for maintaining the health of marine ecology [81]. Pollutions caused by seawater eutrophication, oil spills, and seawater exploration and development can be reflected through water quality indexes. The Bulletin of Marine Ecology and Environment Status of China reflects the state of the marine ecological environment primarily through water quality. Therefore, the marine environment evaluation index was mainly measured using the sea area water quality, and the data were obtained from the local marine environment monitoring data.- 3)
- Evaluation of the marine space resources
The evaluation of the marine biological resources was characterized by the shoreline and sea area development intensity, and was calculated using the following formula:- 4)
- Evaluation of the marine biological resources
The evaluation of marine biological resources mainly considered the number of individuals of phytoplankton, zooplankton and benthos, as well as the changes in marine ecological protection objects, and was obtained using the marine biodiversity carrying index and change rate of marine ecological protection objects. The marine biodiversity change index combined the phytoplankton index, zooplankton index and benthos index. Among them, the number of species reflected the species richness of phytoplankton, zooplankton and benthic communities within a unit, the density reflected the total number of organisms per unit volume within a unit, and the species diversity index reflected the distribution of species richness and number of individuals in the biological community.The evaluation index of the marine biological resources () was calculated by averaging the weight of the single index evaluation results of the phytoplankton index (), zooplankton index () and benthos index (), and the formula was as follows:When < 1.5, marine ecology will be overloaded; when 1.5 ≤ < 2.5, marine ecology will be critically overloaded; when ≥ 2.5, the marine ecology will be loadable.The phytoplankton index was calculated with the monitoring data of shallow water type III net phytoplankton in the marine biodiversity/ecological monitoring area as follows:The zooplankton index was calculated with the net monitoring data of type I zooplankton in the marine biodiversity or ecological monitoring area as follows:The benthos index was calculated with the quantitative monitoring data of macrobenthos in the marine biodiversity or ecological monitoring area as follows:When > 50%, the changes are significant, and the value is 1. When 25% < ≤ 50%, fluctuation appears and the value is 2. When ≤ 25%, it is largely stable and the value is 3.- 5)
- Dominance of the maritime traffic
Since islands have a small spatial scale, the closest distance from the grid center point in the evaluation unit to the shoreline was taken as a measure of the marine traffic dominance. In addition, the evaluation results were categorized into five levels with the assignments shown in Table 4.
3.2.3. Calculation and Classification of the Evaluation Unit
3.2.4. Determination Method for the Three Types of Space
- (1)
- In the evaluation results of marine space zoning, only one area with a high degree of suitability will be divided into this type of space. Under the principle of ecological priority, two areas with a high degree of suitability, including one with a high degree of suitability for marine ecology suitability, will be classified into a marine ecological space. Otherwise, it will be classified as a marine agricultural production space according to the priority principle. If all three suitability levels are high, it can be classified as a marine ecological space according to the principle of ecological priority.
- (2)
- For the divided areas above, if the marine ecology suitability or the agriculture and fishery production suitability in the evaluation results of marine space zoning suitability are medium, they will be divided into this type of space. When both are medium, the type of space with low suitability in the main functional orientation can be determined based on the priority of the marine ecological space, marine agricultural production space and marine construction space. As an alternative, the concentration of space types can be determined according to the principle of space concentration. Otherwise, it will be divided into the space type consistent with its main functional orientation according to the principle of implementing the main functional orientation. If all three suitability levels are medium, the area will be divided into the space type consistent with its main functional orientation under the principle of main functional orientation. If all three suitability levels are low, it can be divided into a marine ecological space under the principle of ecological protection priority.
4. Results
4.1. Single Evaluation of the Important First-Level Indexes
4.1.1. Evaluation Results for the Marine Resources
- (1)
- According to the characteristics of the marine environment and its natural resources, the status of marine exploration and development, and the strategic demand for environmental protection and economic development, the Pingtan marine functional areas were classified into eight types. Among them are agriculture and fishery areas, port shipping areas, industrial and town sea areas, mineral and energy areas, tourism, leisure and recreational areas, marine protected areas, special utilization areas and reserved areas. Furthermore, there were 31 basic functional areas in total [88].
- (2)
- (3)
4.1.2. Evaluation Results for the Marine Environment
4.1.3. Evaluation Results for the Marine Biological Resources
4.2. Suitability Evaluation
4.2.1. Evaluation Results for the Marine Ecological Suitability
4.2.2. Suitability Evaluation Results for the Marine Agricultural Production
4.2.3. Suitability Evaluation Results for the Marine Town Construction
4.3. Results of the Suitability Zoning
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Theme | Criteria | Explanation |
---|---|---|
Marine ecological suitability (G1) | Marine resources evaluation (G11) | Resource effect index |
Marine environment evaluation (G12) | Water quality | |
Marine town construction suitability (G2) | Evaluation of marine space resources (G21) | Shoreline development intensity |
Sea area development intensity | ||
Marine resources evaluation (G22) | Resource effect index | |
Development effect index | ||
Dominance of maritime traffic (G23) | Offshore distance | |
Suitability of marine agricultural production (G3) | Evaluation of marine biological resources (G31) | Marine biological resources evaluation index |
Marine environment evaluation (G32) | Water quality | |
Marine resources evaluation (G33) | Resource effect index | |
Development effect index |
Type of Marine Functional Areas | Consumption Coefficients |
---|---|
Marine areas for industrial and town development | 1 |
Ports and shipping area | 0.8 |
Mineral and energy area | 0.6 |
Agricultural and fishery area | 0.6 |
Area for tourism, leisure and creation | 0.4 |
Area for special utilization | 0.2 |
Marine protected area | 0.2 |
Reserved area | 0.2 |
Primary Sea Use | Secondary Sea Use | Influence Coefficients |
---|---|---|
Sea area for industrial use | Sea area for shipbuilding | 1.0 |
Sea area for solid mineral exploitation | 0.2 | |
Sea area for other industries | 0.2 | |
Sea area for submarine engineering | Sea area for cable duct | 0.6 |
Sea area for transportation | Sea area for ports | 0.8 |
Sea area for roads and bridges | 0.4 | |
Sea area for tourism and recreation | Sea area for tourism infrastructure | 1.0 |
Special sea use | Sea area for coastal protection engineering | 0.1 |
Sea area for scientific research and teaching | 0.5 | |
Sea area for fisheries | Sea area for open cultivation | 0.8 |
Sea area for sea enclosing cultivation | 0.8 | |
Sea area for fishery infrastructure | 1.0 | |
Sea area for land reclamation engineering | Sea area for land reclamation of town construction | 1.0 |
Closest Distance to the Shoreline (km) | 0–6 | 6–12 | 12–18 | 18–24 | 24–30 | ≥20 |
---|---|---|---|---|---|---|
Assignment | 1 | 0.8 | 0.6 | 0.4 | 0.2 | 0 |
Marine Ecological Suitability | Suitability of Marine Agricultural Production | Suitability of Marine Town Construction | Recommended Types |
---|---|---|---|
High | * | * | Marine ecological space |
Medium | High | * | Marine agricultural production space |
Medium | Medium | High | Marine construction space |
Medium | Medium | Medium | Marine ecological space |
Medium | Medium | Low | Marine ecological space |
Medium | Low | High | Marine construction space |
Medium | Low | Medium | Marine ecological space |
Medium | Low | Low | Marine ecological space |
Low | High | * | Marine agricultural production space |
Low | Medium | High | Marine construction space |
Low | Medium | Medium | Marine agricultural production space |
Low | Medium | Low | Marine agricultural production space |
Low | Low | High | Marine construction space |
Low | Low | Medium | Marine construction space |
Low | Low | Low | Marine ecological space |
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Gao, J.; An, T.; Zhang, H.; Zhang, K.; Shen, J.; He, G.; Yang, X.; Zhao, R.; Tian, S. The Evaluation Method of the Marine Spatial Suitability for Islands from the Perspective of Sustainable Development: A Case Study of the Pingtan Islands. Sustainability 2023, 15, 8996. https://doi.org/10.3390/su15118996
Gao J, An T, Zhang H, Zhang K, Shen J, He G, Yang X, Zhao R, Tian S. The Evaluation Method of the Marine Spatial Suitability for Islands from the Perspective of Sustainable Development: A Case Study of the Pingtan Islands. Sustainability. 2023; 15(11):8996. https://doi.org/10.3390/su15118996
Chicago/Turabian StyleGao, Jinzhu, Taitian An, Hongfen Zhang, Kuncheng Zhang, Jiawen Shen, Guangshun He, Xiao Yang, Rui Zhao, and Shizheng Tian. 2023. "The Evaluation Method of the Marine Spatial Suitability for Islands from the Perspective of Sustainable Development: A Case Study of the Pingtan Islands" Sustainability 15, no. 11: 8996. https://doi.org/10.3390/su15118996
APA StyleGao, J., An, T., Zhang, H., Zhang, K., Shen, J., He, G., Yang, X., Zhao, R., & Tian, S. (2023). The Evaluation Method of the Marine Spatial Suitability for Islands from the Perspective of Sustainable Development: A Case Study of the Pingtan Islands. Sustainability, 15(11), 8996. https://doi.org/10.3390/su15118996