Global mangroves accumulated carbon storage from 2000 to 2020

This dataset captures global mangrove accumulated carbon storage at a 1 km resolution from 2000 to 2020 and is publicly available in single-band GeoTIFF format with World Mercator projection.The data follow standardized naming convention: ‘input_name_yr.tif’, ‘process_name_yr.tif’, and ‘out-put_name_yr.tif’. Regarding these file names, ‘input’ refers to the prepared input data; ‘process’ represents intermediary data generated during calculations; ‘output’ means the results of this study; ‘Name’ indicates the data type, and ‘yr’ specifies the year of the data.For instance, ‘input_agb_2000.tif’ corresponds to the 1 km resolution global above-ground biomass data for mangroves in the year 2000 from Simard et al. (2019); ‘process_G_0007.tif’ represents the total cumulative biomass of global mangroves from 2000 to 2007 at a 1 km resolution; ‘output_carbon_0020.tif’ represents the output of this study in terms of the 2000–2020 global mangrove accumulated carbon storage at a 1 km resolution.The following citation should be used for the metadata source:Giri, C. et al. Status and distribution of mangrove forests of the world using earth observation satellite data. <i>Glob. Ecol. Biogeogr</i>. <b>20</b>, 154–159, https://doi.org/10.1111/j.1466-8238.2010.00584.x (2011).Bunting, P. et al. Global mangrove extent change 1996–2020: Global mangrove watch version3.0. <i>Remote. Sens</i>. <b>14</b>, 3657, https://doi.org/10.3390/rs14153657 (2022).Sanderman, J. et al. A global map of mangrove forest soil carbon at 30 m spatial resolution. <i>Environ. Res. Lett</i>. <b>13</b>, 055002, https://doi.org/10.1088/1748-9326/aabe1c (2018).Simard, M. et al. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. <i>Nat. Geosci</i>. <b>12</b>, 40–45, https://doi.org/10.1038/s41561-018-0279-1 (2019). Chen, D. &amp; Chen, H. W. Using the köppen classification to quantify climate variation and change: An example for 1901–2010. <i>Environ. Dev</i>. <b>6</b>, 69–79, https://doi.org/10.1016/j.envdev.2013.03.007 (2013).GPCC. Global Precipitation Climatology Centre monthly precipitation dataset from 1891-present is calculated from global station data. NOAA. Available at: https://www.psl.noaa.gov/data/gridded/data.gpcc.html (2024).CRU TS4.03. Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate. NCAS. Available at: https://catalogue.ceda.ac.uk/uuid/10d3e3640f004c578403419aac167d82/ (2019).GLOBE Topography. NOAA. Available at: https://www.ngdc.noaa.gov/mgg/topo/DATATILES/elev (2008).

本数据集记录了2000至2020年全球红树林累积碳储量，空间分辨率为1 km，以单波段GeoTIFF格式公开发布，投影采用世界墨卡托（World Mercator）投影。
数据遵循标准化命名规则，格式为`input_name_yr.tif`、`process_name_yr.tif`与`out-put_name_yr.tif`。其中，`input`指代预处理后的输入数据，`process`代表计算过程中生成的中间数据，`out-put`表示本研究的最终成果；`Name`用于标识数据类型，`yr`则指明数据对应的年份。
例如，`input_agb_2000.tif`对应Simard等人2019年发布的2000年全球1 km分辨率红树林地上生物量数据；`process_G_0007.tif`代表2000至2007年间全球1 km分辨率红树林总累积生物量数据；`output_carbon_0020.tif`则为本研究产出的2000至2020年全球1 km分辨率红树林累积碳储量成果。
本数据集元数据来源应引用如下文献：
1. Giri, C. 等. 基于地球观测卫星数据的全球红树林现状与分布[J]. *Glob. Ecol. Biogeogr*, 2011, 20: 154–159. https://doi.org/10.1111/j.1466-8238.2010.00584.x
2. Bunting, P. 等. 1996–2020年全球红树林范围变化：全球红树林观测计划v3.0版本[J]. *Remote. Sens*, 2022, 14: 3657. https://doi.org/10.3390/rs14153657
3. Sanderman, J. 等. 30 m空间分辨率全球红树林土壤碳分布图[J]. *Environ. Res. Lett*, 2018, 13: 055002. https://doi.org/10.1088/1748-9326/aabe1c
4. Simard, M. 等. 全球红树林冠层高度与降水、温度及气旋频率的关联[J]. *Nat. Geosci*, 2019, 12: 40–45. https://doi.org/10.1038/s41561-018-0279-1
5. Chen, D. & Chen, H. W. 利用柯本气候分类法定量分析气候变化：以1901–2010年为例[J]. *Environ. Dev*, 2013, 6: 69–79. https://doi.org/10.1016/j.envdev.2013.03.007
6. 全球降水气候学中心（GPCC）. 1891年至今的全球逐月降水数据集：基于全球台站数据计算所得[EB/OL]. 美国国家海洋和大气管理局（NOAA）. https://www.psl.noaa.gov/data/gridded/data.gpcc.html, 2024
7. 气候研究单元时间序列v4.03（CRU TS4.03）. 高分辨率网格化逐月气候变异数据集[EB/OL]. 国家大气科学中心（NCAS）. https://catalogue.ceda.ac.uk/uuid/10d3e3640f004c578403419aac167d82/, 2019
8. GLOBE地形数据[EB/OL]. 美国国家海洋和大气管理局（NOAA）. https://www.ngdc.noaa.gov/mgg/topo/DATATILES/elev, 2008