Dataset of Ecological Resilience Index of the Continental Coastal of the East China Sea (2000-2022)
YING Chao1,2LIU Yongchao1,2TIAN Peng3ZHONG Jie1LI Jialin*1,2
1 School of Geography and Remote sensing，Ningbo University，Ningbo 315211，China2 East China Sea Research Institute，Ningbo University，Ningbo 315211，China3 College of Life and Environmental Sciences，Wenzhou University，Wenzhou 325035，China
DOI:10.3974/geodb.2026.02.09.V1
Published:Feb. 2026
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Key Words：
ecological resilience,multi-source data fusion,combination weighting, continental coastal zone of the East China Sea region
Abstract：
Coastal zones, as significantly vulnerable areas coupled with global change and intense human activities, require a long-term, comparable ecological resilience dataset for risk identification, resilience diagnosis, and governance assessment. This study focuses on the continental coastal zone of the East China Sea, integrating remote sensing data from MODIS, TM/ETM+, etc., along with basic geographic and socioeconomic statistics data. An indicator system was constructed within the framework of ecological processes (risk-resistance-adaptation-recovery) and ecological baseline (scale-density-morphology). Fuzzy hierarchical analysis (FAHP) and CRITIC objective weighting were combined, and the combined weights were determined using Lagrange extreme value conditions. A comprehensive index method was employed to generate ecological resilience and subsystem datasets from 2000 to 2022. The results show that ecological resilience fluctuated in stages during the study period but generally recovered, reaching a trough in 2005 and steadily improving after 2010. The spatial pattern maintained a long-term gradient differentiation, with lower values in the northeast and higher values in the southwest. The dataset includes the following data from 2000 to 2022 at 5-year intervals: (1) spatial distribution of the ecological resilience index; (2) data for 7 assessment subsystems (including: size, density, morphology, risk, resistance, adaptation, and recovery); and (3) regional and subsystem statistics of the ecological resilience index. The spatial data resolution is 100 m. The dataset is archived in .tif and .xlsx formats, and consists of 241 data files with data size of 14.2 GB (compressed into one file with 902 MB). The dataset can provide basic data support for identifying coastal ecological security patterns, diagnosing resilience weaknesses, regional governance, and cross-scale comparative studies.
Foundation Item：
National Natural Science Foundation of China（42276234）
Data Citation：
YING Chao, LIU Yongchao, TIAN Peng, ZHONG Jie, LI Jialin*. Dataset of Ecological Resilience Index of the Continental Coastal of the East China Sea (2000-2022)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.02.09.V1.
References：
[1] Ying, C., Li, J. L., Liu, Y. C., et al. Spatio-temporal relationship and influencing factors between ecological resilience of coastal zone and land use intensity: a case study of Xieqian Port, Ningbo [J]. Acta Ecologica Sinica, 2026, 46(2): 753-770.
[2] Li, J. L., Tian, P., Shao, S. Y., et al. East China Sea coastline dataset (1990-2015) [J]. Journal of Global Change Data & Discovery, 2019, 3(3): 252-258. DOI: 10.3974/geodp.2019.03.05.
[3] Yan, F., Wang, S. G., Zhang, J., et al. Depth-to-bedrock map of China at a spatial resolution of 100 meters [J]. Scientific data, 2020, 7(1): 2.
[4] Ying, C., Li, J. L., Liu, Y. C., et al. The spatiotemporal evolution and influencing factors of resilience of county-level cities in the East China Sea coastal zone based on "background-operation-efficiency" [J]. Acta Geographica Sinica, 2024, 79(2): 462-483.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
EcoRes_CoastalEastChinaSea_2000-2022.rar |
923847.93KB |
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