Journal
FRONTIERS IN MARINE SCIENCE
Volume 7, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2020.00520
Keywords
microphytobenthos; intertidal mudflat; gross primary production; remote sensing; NDVI; modeling
Funding
- DYCOFEL project through the 2015 Fondation de France call Quels littoraux pour demain?
- MIMOSA project through the 2018 CNRS EC2CO-LEFE call
- HYPEDDY project through the 2018-2020 Tosca-CNES call
- BIO-Tide project through the 2015-2016 BiodivERsA COFUND call
- BelSPO
- FWO
- ANR
- SNSF
- GEOSUD [ANR-10-EQPX20]
- Contrat de Plan EtatRegion (CPER)
- CNRS
- European Regional Development Fund
- French Ministry of Higher Education, Research and Innovation
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The gross primary production (GPP) of intertidal mudflat microphytobenthos supports important ecosystem services such as shoreline stabilization and food production, and it contributes to blue carbon. However, monitoring microphytobenthos GPP over a long-term and large spatial scale is rendered difficult by its high temporal and spatial variability. To overcome this issue, we developed an algorithm to map microphytobenthos GPP in which the following are coupled: (i) NDVI maps derived from high spatial resolution satellite images (SPOT6 or Pleiades), estimating the horizontal distribution of the microphytobenthos biomass; (ii) emersion time, photosynthetically active radiation (PAR), and mud surface temperature simulated from the physical model MARS-3D; (iii) photophysiological parameters retrieved from Production-irradiance (P-E) curves, obtained under controlled conditions of PAR and temperature, using benthic chambers, and expressing the production rate into mg C h(-1) m(-2) ndvi(-1). The productivity was directly calibrated to NDVI to be consistent with remote-sensing measurements of microphytobenthos biomass and was spatially upscaled using satellite-derived NDVI maps acquired at different seasons. The remotely sensed microphytobenthos GPP reasonably compared with in situ GPP measurements. It was highest in March with a daily production reaching 50.2 mg C m(-2) d(-1), and lowest in July with a daily production of 22.3 mg C m(-2) d(-1). Our remote sensing algorithm is a new step in the perspective of mapping microphytobenthos GPP over large mudflats to estimate its actual contribution to ecosystem functions, including blue carbon, from local and global scales.
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