AI Article Synopsis
- Blue carbon cycling in mangrove ecosystems is more intricate than initially believed, prompting the use of structural equation modeling (SEM) for a deeper analysis.
- The study utilized data from the Indian Sundarban to illustrate how SEM effectively integrates different data types to understand CO fluxes in mangroves, including key interactions between the atmosphere, water, and soil.
- Findings indicate that atmospheric, water, and soil temperatures significantly drive CO emissions from mangrove ecosystems, demonstrating the utility of SEM in capturing complex biogeochemical cycles in blue carbon environments.
Article Abstract
Blue carbon cycling in mangrove ecosystems is proving to be more complex than previously thought. The objective of this study was the application of structural equation modelling (SEM) to capture such complex and varying data types and provide a holistic understanding of mangrove blue carbon cycling using data from the Indian Sundarban as a test case. We found that SEM was effective at integrating multiple data types and characterizing the processes and variables that regulate the nature and magnitude of CO fluxes within a mangrove ecosystem, including atmosphere-hydrosphere, atmosphere-pedosphere, and net ecosystem exchange. Overall, this study finds that atmospheric, water, and soil temperatures were the main and common drivers of CO effluxes towards the atmosphere from the entire ecosystem, waterbodies, and soils of mangrove ecosystems, respectively. We conclude that SEM is useful for combining data from different sources, gaining an overarching view of the complex biogeochemical cycling of the blue carbon ecosystems.
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| http://dx.doi.org/10.1016/j.marpolbul.2024.117290 | DOI Listing |
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