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Data Publisher for Earth & Environmental Science

Reithmaier, Gloria Maria Susanne; Maher, Damien T: Global map of pyrite stocks in mangroves [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.921933 (dataset in review)

Keyword(s):
Carbon; CRS; iron; mangroves; pyrite; Sulfur
Supplement to:
Reithmaier, Gloria Maria Susanne; Johnston, Scott G; Junginger, Tobias; Goddrad, Madeline M; Sanders, Christian J; Hutley, Lindsay B; Ho, David T; Maher, Damien T (in review): Alkalinity production coupled to pyrite formation represents unaccounted blue carbon sink. Global Biogeochemical Cycles
Further details:
Fick, Stephen E; Hijmans, Robert J (2017): WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. http://worldclim.org/version2, International Journal of Climatology, 37(12), 4302-4315, https://doi.org/10.1002/joc.5086
Sanderman, Jonathan; Hengl, Tomislav; Fiske, Greg; Solvik, Kylen; Fernanda Adame, Maria; Benson, Lisa; Bukoski, Jacob J; Carnell, Paul; Cifuentes-Jara, M; Donato, Daniel; Duncan, Clare; Eid, Ebrahem M; zu Ermgassen, Philine; Ewers Lewis, Carolyn; Macreadie, Peter I; Glass, Leah; Gress, Selena; Jardine, Sunny L; Jones, Trevor G; Ndemen Nsombo, Eugene; Mizanur Rahman, Md; Sanders, Christian J; Spalding, Mark; Landis, Emily (2018): A global map of mangrove forest soil carbon at 30 m spatial resolution. Environmental Research Letters, 13(5), 055002, https://doi.org/10.1088/1748-9326/aabe1c
Simard, Marc; Fatoyinbo, Temilola; Smetanka, C; Rivera-Monroy, Victor H; Castaneda-Mova, E; Thomas, N (2019): Global Mangrove Distribution, Aboveground Biomass, and Canopy Height. ORNL Distributed Active Archive Center, Oak Ridge, Tennessee, USA., https://doi.org/10.3334/ORNLDAAC/1665
Vestbo, Stine; Obst, Matthias; Quevedo Fernandez, Franscisco J; Intanai, Itsara; Funch, Peter (2018): Present and Potential Future Distributions of Asian Horseshoe Crabs Determine Areas for Conservation. Frontiers in Marine Science, 5, https://doi.org/10.3389/fmars.2018.00164
Viscarra Rossel, Raphael A; Behrens, Thorsten; Ben-Dor, Eyal; Brown, David J; Dematte, Jose Alexandre M; Shepherd, Keith D; Shi, Z; Stenberg, Bo; Stevens, Antoine; Adamchuk, Viacheslav I; Aichi, H; Barthes, Bernard G; Bartholomeus, Harm M; Bayer, Anita D; Bernoux, Martial; Böttcher, Kristin; Brodsky, Lukas; Du, Changwen; Chappell, Adrian; Fouad, Youssef; Genot, Valerie; Gomez, Cecile; Grunwald, Sabine; Gubler, Andreas; Guerrero, Cesar; Hedley, Carolyn; Knadels, Maria; Morrás, Hector Jose Maria; Nocita, Marco; Ramirez-Lopez, Leonardo; Roudier, Pierre; Rufasto Campos, E M; Sanborn, Paul T; Sellitto, Vincenzo Michele; Sudduth, Kenneth A; Rawlins, Barry G; Walter, Christian; Winowiecki, Leigh A; Hong, S Yong; Ji, Wenjun (2016): A global spectral library to characterize the world's soil. Earth-Science Reviews, 155, 198-230, https://doi.org/10.1016/j.earscirev.2016.01.012
Comment:
This dataset contains a log-linear model based on site-specific average annual temperature, average annual precipitation, average tidal amplitude, sediment organic carbon, aboveground biomass, and reactive iron in the catchment, developed to predict mangrove pyrite stocks. Constants were calculated through an iterative least-squares process using Microsoft Excel. The resulting model output was used to estimate global pyrite stocks in mangroves. The global model inputs included temperature (Fick & Hijmans, 2017), precipitation (Fick & Hijmans, 2017), average tidal amplitude (Vestbo et al., 2018), sediment organic carbon (Sanderman et al., 2018), aboveground biomass (Simard et al., 2019), and reactive iron (Rossel et al., 2016).
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Size:
18 MBytes

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