Dataset List

Vol.|Area

No.10 Vol.11,2024
No.09 Vol.11,2024
No.08 Vol.11,2024
No.07 Vol.11,2024
No.06 Vol.11,2024
No.05 Vol.11,2024
No.04 Vol.11,2024
No.03 Vol.11,2024
No.02 Vol.11,2024
No.01 Vol.11,2024
No.12 Vol.10,2023
No.11 Vol.10,2023
No.10 Vol.10,2023
No.09 Vol.10,2023
No.08 Vol.10,2023
No.07 Vol.10,2023
No.06 Vol.10,2023
No.05 Vol.10,2023
No.04 Vol.10,2023
No.03 Vol.10,2023
No.02 Vol.10,2023
No.01 Vol.10,2023
No.12 Vol.9,2022
No.11 Vol.9,2022
No.10 Vol.9,2022
No.09 Vol.9,2022
No.08 Vol.9,2022
No.07 Vol.9,2022
No.06 Vol.9,2022
No.05 Vol.9,2022
No.04 Vol.9,2022
No.03 Vol.9,2022
No.02 Vol.9,2022
No.01 Vol.9,2022
No.12 Vol.8,2021
No.11 Vol.8,2021
No.10 Vol.8,2021
No.09 Vol.8,2021
No.08 Vol.8,2021
No.07 Vol.8,2021
No.06 Vol.8,2021
No.05 Vol.8,2021
No.04 Vol.8,2021
No.03 Vol.8,2021
No.03 Vol.8,2021
No.02 Vol.8,2021
No.01 Vol.8,2021
No.09 Vol.7,2020
No.08 Vol.7,2020
No.07 Vol.7,2020
No.06 Vol.7,2020
No.05 Vol.7,2020
No.04 Vol.7,2020
No.03 Vol.7,2020
No.02 Vol.7,2020
No.01 Vol.7,2020
No.06 Vol.6,2019
No.05 Vol.6,2019
No.04 Vol.6,2019
No.03 Vol.6,2019
No.02 Vol.6,2019
No.01 Vol.6,2019
No.08 Vol.5,2018
No.07 Vol.5,2018
No.06 Vol.5,2018
No.05 Vol.5,2018
No.04 Vol.5,2018
No.03 Vol.5,2018
No.02 Vol.5,2018
No.01 Vol.5,2018
No.04 Vol.4,2017
No.03 Vol.4,2017
No.02 Vol.4,2017
No.01 Vol.4,2017
No.09 Vol.3,2016
No.08 Vol.3,2016
No.07 Vol.3,2016
No.06 Vol.3,2016
No.05 Vol.3,2016
No.04 Vol.3,2016
No.03 Vol.3,2016
No.02 Vol.3,2016
No.01 Vol.3,2016
No.02 Vol.2,2015
No.01 Vol.2,2015
No.02 Vol.1,2014
No.01 Vol.1,2014
China
Asia
Oceanic region
African
European
North American
South American
Arctic
Global Scale
Data Details

Spatial Scenes-Based Ecological Carrying Capacity Dataset for the Guangdong-Hong Kong-Macao Greater Bay Area (1990-2019)


WANG Mengdi1 TANG Yuzhi2SHI Tiezhu*1 LIU Qian3 YAN Fengqin4 LV Pin1 DENG Dongping1 ZHANG Zihong4 WANG Zhihua1 HU Zhongwen1 WU Guofeng1 SU Fenzhen4
1 MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities & State Key Laboratory of Subtropical Building and Urban Science，Shenzhen University，Shenzhen 518060，China2 Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)，Shenzhen 518107，China3 Department of Land Surveying and Geomatics，The Hong Kong Polytechnic University，Hong Kong 999077，China4 State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China.

DOI:10.3974/geodb.2024.06.03.V1

Published:Jun. 2024

Visitors：2237       Data Files Downloaded：28      
Data Downloaded：251.24 MB      Citations：

Key Words：

spatial scene,ecological carrying capacity,Guangdong-Hong Kong-Macao Greater Bay Area, coastal and maritime area

Abstract：

Taking Guangdong-Hong Kong-Macao Greater Bay Area as the study area, the authors obtained the spatial scene classification data based on the object-oriented method; coupled with the three-dimensional ecological footprint method and established the spatial scene-based ecological carrying capacity dataset of the coastal zone (1990-2019). The dataset includes: (1) spatial distribution data of the spatial scenes of coastline, coastal zone and sea area in four historical periods (1990, 2000, 2010 and 2019); (2) data of land-sea variation of spatial scenes in every 10 years; and (3) data of ecological carrying capacity and ecological footprint change of coastal zone and sea area from 1990 to 2019. The dataset is archived in .shp, .tif and .xlsx formats, and consists of 58 data files with data size of 2.75 GB (Compressed into one file with 8.97 MB). The data paper will be published at the Journal of Global Change Data & Discovery, Vol. 8, 2024.

Foundation Item：

National Natural Science Foundation of China (42306245, 41890854); Department of Science and Technology of Guangdong Province (2020B1212030009)

Data Citation：

WANG Mengdi, TANG Yuzhi, SHI Tiezhu*, LIU Qian, YAN Fengqin, LV Pin, DENG Dongping, ZHANG Zihong, WANG Zhihua, HU Zhongwen, WU Guofeng, SU Fenzhen. Spatial Scenes-Based Ecological Carrying Capacity Dataset for the Guangdong-Hong Kong-Macao Greater Bay Area (1990-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.06.03.V1.

References：


     [1] Gao, L. H., Ning, J., Bao, W. L., et al. A study on the marine ecological security assessment of Guangdong-Hong Kong-Macao Great Bay Area [J]. Marine Pollution Bulletin, 2022, 176: 113416.
     [2] Zhao, M. M., Kou, J. F., Yang, J., et al. Study on the ecological security and protection measures of the coastal zone in Guangdong-Hong Kong-Macao Greater Bay Area [J]. Environmental Protection, 2019, 47(23): 29-34.
     [3] Zhai, T. L., Wang, J., Fang, Y., et al. Assessing ecological risks caused by human activities in rapid urbanization coastal areas: Towards an integrated approach to determining key areas of terrestrial-oceanic ecosystems preservation and restoration[J]. Science of The Total Environment, 2020, 708: 135153.
     [4] Li, H., Yuan, L., Zhang, L. Q., et al. Alternative stable states in coastal intertidal wetland ecosystems of Yangtze estuary, China [J]. Chinese Journal of Applied Ecology, 2017, 28(1): 327-336.
     [5] China National Bureau of Standards (CNBS). Comprehensive survey of coastal zone and mudflat resources in China. GB/T 9852.1-1988 [S]. Beijing: China Standard Press, 1989.
     [6] Nordquist, M. United Nations Convention on the law of the sea 1982, Volume VII: a commentary [M]. Vol. 7, Brill, 2011.
     [7] National marine functional zoning (2011-2020) [N]. China Marine Journal, 2012-04-18, 5(Special edition).
     [8] Tang, Y. Z., Wang, M. D., Liu, Q., et al. Ecological carrying capacity and sustainability assessment for coastal zones: A novel framework based on spatial scene and three-dimensional ecological footprint model. Ecological Modelling, 2022, 466: 109881.
     [9] FAO. FAO publications catalogue 2020: March [M/OL]. Rome. 2020. https://doi.org/10.4060/ca7988en.
     [10] Running, S., Zhao, M. MOD17A3HGF MODIS/Terra net primary production gap-filled yearly L4 global 500 m SIN grid V006 [DB/OL]. 2019. https://doi.org/10.5067/MODIS/MOD17A3HGF.006, 2021-03-22.
     [11] Behrenfeld, M. J., Falkowski, P. G. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnology and Oceanography, 1997, 42(1): 1-20.
     [12] Liu, Y. M., Wang, Z. H., Yang, X. M., et al. Satellite-based monitoring and statistics for raft and cage aquaculture in China's offshore waters. International Journal of Applied Earth Observation and Geoinformation, 2020, 91: 102118.
     [13] Hu, Z. W., Li, Q. Q., Zou, Q., et al. A bilevel scale-sets model for hierarchical representation of large remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12): 7366-7377.
     [14] Hu, Z. W., Wu, Z. C., Zhang, Q., et al. A spatially-constrained color-texture model for hierarchical VHR image segmentation. IEEE Geoscience and Remote Sensing Letters, 2013, 10(1): 120-124.
     [15] Liu, M. C., Li, W. H., Xie, G. D. Estimation of China ecological footprint production coefficient based on net primary productivity. [J]. Chinese Journal of Ecology, 2010, 29(3): 592-597.
     [16] Fang, K. Ecological footprint depth and size: new indicators for a 3D model [J]. Acta Ecologica Sinica, 2013, 33(1): 267-274.
     [17] Niccolucci, V., Galli, A., Reed, A., et al. Towards a 3D national ecological footprint geography [J]. Ecological Modelling, 2011, 222(16): 2939-2944.
     [18] Wu, S. J., Liang, S. C. Impacts of human activities on ecosystem in mangroves. [J]. Marine Environmental Science, 2008(5): 537-542.
     [19] Xing, L. Study on the Spatio-temporal Impacts of Urbanization on the Ecosystem Services Value and Ecological Sustainability Assessment [D]. Wuhan: Huazhong University of Science and Technology, 2018.
     

Data Product:

ID Data Name Data Size Operation
1 GBA_SSECC_1990_2019.rar 9188.07KB
Co-Sponsors
Superintend