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Results of the <t> Generalized Linear Models </t> <t> (GLM) </t> testing for significant effects of region (Alta Guajira, Media Guajira, San Andrés, Tayrona, Cartagena) on seagrass soil dry bulk density (g cm −3 ), soil organic carbon content (%), soil organic matter content (%), soil organic carbon stocks (Mg C org ha −1 in 1-m thick) , δ 13 C (‰), and content of sediment grain-sizes < 0.016 mm, > 0.0.016 < 0.125 mm and > 0.5 mm (%) in the Colombian Caribbean.
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Results of the <t> Generalized Linear Models </t> <t> (GLM) </t> testing for significant effects of region (Alta Guajira, Media Guajira, San Andrés, Tayrona, Cartagena) on seagrass soil dry bulk density (g cm −3 ), soil organic carbon content (%), soil organic matter content (%), soil organic carbon stocks (Mg C org ha −1 in 1-m thick) , δ 13 C (‰), and content of sediment grain-sizes < 0.016 mm, > 0.0.016 < 0.125 mm and > 0.5 mm (%) in the Colombian Caribbean.
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Results of the  Generalized Linear Models   (GLM)  testing for significant effects of region (Alta Guajira, Media Guajira, San Andrés, Tayrona, Cartagena) on seagrass soil dry bulk density (g cm −3 ), soil organic carbon content (%), soil organic matter content (%), soil organic carbon stocks (Mg C org ha −1 in 1-m thick) , δ 13 C (‰), and content of sediment grain-sizes < 0.016 mm, > 0.0.016 < 0.125 mm and > 0.5 mm (%) in the Colombian Caribbean.

Journal: Scientific Reports

Article Title: Seagrass blue carbon stocks and sequestration rates in the Colombian Caribbean

doi: 10.1038/s41598-021-90544-5

Figure Lengend Snippet: Results of the Generalized Linear Models (GLM) testing for significant effects of region (Alta Guajira, Media Guajira, San Andrés, Tayrona, Cartagena) on seagrass soil dry bulk density (g cm −3 ), soil organic carbon content (%), soil organic matter content (%), soil organic carbon stocks (Mg C org ha −1 in 1-m thick) , δ 13 C (‰), and content of sediment grain-sizes < 0.016 mm, > 0.0.016 < 0.125 mm and > 0.5 mm (%) in the Colombian Caribbean.

Article Snippet: Statistical analyses were performed using univariate General Linear Models (GLM) procedures in Statgraphics v16 software.

Techniques: