Microphytobenthos interannual variations in a north-European estuary (Loire estuary, France) detected by visible-infrared multispectral remote sensing

Benyoucef, Ismaïl; Blandin, Elodie; Lerouxel, Astrid; Jesus, Bruno; Rosa, Philippe; Méléder, Vona; Launeau, Patrick; Barillé, Laurent

doi:10.1016/j.ecss.2013.11.007

Cited by 51 publications

(52 citation statements)

References 69 publications

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“…Spatial data analysis was carried out with R software (R Core Team, 2015) using gstat (Pebesma, 2004), maptools (Bivand and Lewin-Koh, 2015), raster (Hijmans, 2015), rgdal , rgeos (Bivand and Rundel, 2015), and sp (Pebesma and Bivand, 2005;Bivand et al, 2013) packages.…”

Section: Data Processing 231 Satellite Data Processingmentioning

confidence: 99%

“…At low tide, MPB biomass can be quantified with the normalized difference vegetation index (NDVI) (Méléder et al, 2003;van der Wal et al, 2010;Brito et al, 2013;Benyoucef et al, 2014), which uses chlorophyll a optical properties in the red and near-infrared spectral regions. MPB biomass is characterized by high heterogeneity occurring on various spatial scales (Chapman et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

et al. 2018

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Abstract. Satellite remote sensing (RS) is routinely used for the large-scale monitoring of microphytobenthos (MPB) biomass in intertidal mudflats and has greatly improved our knowledge of MPB spatio-temporal variability and its potential drivers. Processes operating on smaller scales however, such as the impact of benthic macrofauna on MPB development, to date remain underinvestigated. In this study, we analysed the influence of wild Crassostrea gigas oyster reefs on MPB biofilm development using multispectral RS. A 30-year time series combining high-resolution (30 m) Landsat and SPOT data was built in order to explore the relationship between C. gigas reefs and MPB spatial distribution and seasonal dynamics, using the normalized difference vegetation index (NDVI). Emphasis was placed on the analysis of a before-after control-impact (BACI) experiment designed to assess the effect of oyster killing on the surrounding MPB biofilms. Our RS data reveal that the presence of oyster reefs positively affects MPB biofilm development. Analysis of the historical time series first showed the presence of persistent, highly concentrated MPB patches around oyster reefs. This observation was supported by the BACI experiment which showed that killing the oysters (while leaving the physical reef structure, i.e. oyster shells, intact) negatively affected both MPB biofilm biomass and spatial stability around the reef. As such, our results are consistent with the hypothesis of nutrient input as an explanation for the MPB growth-promoting effect of oysters, whereby organic and inorganic matter released through oyster excretion and biodeposition stimulates MPB biomass accumulation.MPB also showed marked seasonal variations in biomass and patch shape, size and degree of aggregation around the oyster reefs. Seasonal variations in biomass, with higher NDVI during spring and autumn, were consistent with those observed on broader scales in other European mudflats. Our study provides the first multi-sensor RS satellite evidence of the promoting and structuring effect of oyster reefs on MPB biofilms.

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Section: Data Processing 231 Satellite Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

et al. 2018

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“…Remote sensing has been used to map MPB biomass, using multi-and hyperspectral imager [7,[9][10][11][12]41]. More recently, it was used to estimate optical absorption cross section (=a*) retrieved from optical properties of the MPB biofilm [22,24].…”

Section: Remote Sensing Applicationsmentioning

confidence: 99%

“…However, monitoring photosynthesis from Space, has been recently proposed for land resources (for a review see [13]). It is a great challenge to improve our knowledge of the main drivers and resources constraints of plant productivity and it is needed for predicting impacts of climate change [8,13] and management of costal ecosystems [7,11]. The main objective of the current study is to take up this challenge for MPB primary production.…”

Section: Introductionmentioning

confidence: 99%

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Microphytobenthos Primary Production Estimated by Hyperspectral Reflectance

Méléder¹,

Lavaud²,

Barnett³

et al. 2016

Preprint

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Abstract:Monitoring photosynthesis is a great challenge to improve our knowledge of plant productivity at the ecosystem level, which may be achieved using remote-sensing techniques with synoptic abilities. The main objective of the current study is to take up this challenge for microphytobenthos (MPB) primary production in intertidal mudflats. This was achieved by coupling hyperspectral radiometry (reflectance, ρ and second derivative, δδ) and PAM-fluorometry (non-sequential light curve, NSLC) measurements. The later allowed the estimation of the primary production via the light use efficiency (LUE) and the electron transport rate (ETR) whereas ρ allowed to estimate pigment composition and optical absorption cross-section (a*). Five MPB species representative of the main growth forms: epipelic (benthic motile), epipsammic (benthic motile and non motile) and thycoplanktonic (temporarily resuspended in the water column) were lighted at increasing light intensity from dark to 1950 µmol photons.m -2 .s -1 . After spectral measurements, a* was retrieved using a radiative transfer model and several radiometric indices were tested for their capacity to predict LUE and ETR. The spectral estimation of these two photosynthetic variables was subsequently compared to the values estimated by PAM-fluorometry. Results showed that different responses related to the xanthophyll cycle (de-epoxydation state) were observed for the three growthforms with increasing light levels. However, a single relationship with radiometric index was not affected by species/growth-forms, i.e. δδ 496/508 , called the MPB LUE index to predict LUE and ETR. This index has the potential to be applied to air borne hyperspectral imagery for large-scale assessment of MPB production.

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Remote sensing of suspended particulate matter in turbid oyster‐farming ecosystems

et al. 2014

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High resolution satellite data of the Medium Resolution Imaging Spectrometer in full resolution mode (MERIS FR, pixel size is 300 m) were used to study the impact of suspended particulate matter (SPM) on oyster‐farming sites in a macrotidal bay of the French Atlantic coast where SPM concentration can exceed 100 g m−3. Because MERIS standard SPM concentration retrieval saturates at about 50 g m−3, we developed an alternative method for turbid nearshore waters. The method consists in the combination of the Semi‐Analytical Atmospheric and Bio‐Optical (SAABIO) atmospheric correction with a regional bio‐optical algorithm based on a linear relationship between SPM concentration and the reflectance band ratio at 865 and 560 nm. MERIS FR‐derived SPM concentrations were validated from 10 up to 300 g m−3, and then merged with oyster ecophysiological responses to provide a spatial picture of the impact of SPM concentration on oyster‐farming sites. Our approach demonstrates the potential of high resolution satellite remote sensing for aquaculture management and shellfish‐farming ecosystems studies.

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Microphytobenthos interannual variations in a north-European estuary (Loire estuary, France) detected by visible-infrared multispectral remote sensing

Cited by 51 publications

References 69 publications

Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

Microphytobenthos Primary Production Estimated by Hyperspectral Reflectance

Remote sensing of suspended particulate matter in turbid oyster‐farming ecosystems

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