Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar. Issue 6 (28th June 2022)

• Record Type: Journal Article
• Authors: Traganos, Dimosthenis; Pertiwi, Avi Putri; Lee, Chengfa Benjamin; Blume, Alina; Poursanidis, Dimitris; Shapiro, Aurelie
• Editors: Lecours, Vincent; Zheng, Gang
• Is Part Of: Remote sensing in ecology and conservation. Volume 8:Issue 6(2022)
• Page Start: 778
• Page End: 792
• Publication Date: 2022-06-28
• Subjects: Blue carbon stock -- East Africa -- ecosystem accounting -- Google Earth Engine -- seagrass -- Sentinel‐2; Remote sensing -- Periodicals; Ecology -- Research -- Periodicals; Ecology -- Methodology -- Periodicals; Ecology -- Remote sensing -- Periodicals; Nature conservation -- Methodology -- Periodicals; 577.0723
• DOI: 10.1002/rse2.287
• Languages: English
• ISSNs: 2056-3485

Abstract

Abstract: Seagrass ecosystems are globally significant hot spots of blue carbon storage, coastal biodiversity and coastal protection, rendering them a so‐called natural climate solution. Their potential as a natural climate solution has been largely overlooked in national and international climate strategies and financing. This stems mainly from the lack of standardized, spatially explicit mapping and region‐specific carbon inventories. Here, we introduce a novel seagrass ecosystem accounting framework that harnesses machine learning, big satellite data analytics and open region‐specific reference data within the Google Earth Engine cloud computing platform. Leveraging a biennial percentile composite, assembled from 16 453 Sentinel‐2 surface reflectance image tiles at 10‐m spatial resolution, and 20 820 reference data points, we applied the cloud‐native framework to produce the first national inventories of seagrass extent and total seagrass carbon stocks in Kenya, Tanzania, Mozambique and Madagascar. We estimated 4316 km 2 of regional seagrass extent (mean F1‐score of 59.3% and overall accuracy of 84.3%) up to 23 m of depth. Pairing country‐specific in situ carbon data and our spatially explicit seagrass extents, we calculated total regional seagrass blue carbon stocks between 11.2–40.2 million MgC, with the largest national carbon pool in Kenya (8–29.2 million MgC). We envisage that improvements in the remote sensing components of the framework guided by a necessary influx of region‐specific data on seagrass stocks and fluxes could reduce uncertainties in our current spatially explicit ecosystem extent and carbon accounts, enhancing the incorporation of seagrasses into Multilateral Environmental Agreements for future resilient ecosystems, societies and economies. Abstract : Seagrass ecosystems are globally significant hot spots of natural climate solutions like blue carbon storage, coastal biodiversity maintenance, and coastal protection. Here, we introduce a novel cloud‐based seagrass ecosystem accounting framework which we harness to transform tens of thousands of Sentinel‐2 satellite images and reference data points into the first spatially‐explicit national inventories of seagrass extent and total seagrass carbon stocks in Kenya, Tanzania, Mozambique, and Madagascar. We calculate 4, 316 sq. km of regional seagrass meadows which may store between 11.2‐40.2 million Megagrams of organic carbon.