Toward coherent space-time mapping of seagrass cover from satellite data: example of a Mediterranean lagoon DOI Creative Commons
Guillaume Goodwin, Marco Marani, Sonia Silvestri

et al.

Published: Jan. 24, 2023

Abstract. Seagrass meadows are a highly productive and economically important shallow coastal habitat. Their sensitivity to natural anthropogenic disturbances, combined with their importance for local biodiversity, carbon stocks sediment dynamics, motivate frequent monitoring of distribution. However, generating time-series seagrass cover from field observations is costly, mapping methods based on remote sensing require restrictive conditions seabed visibility, limiting the frequency observations. In this contribution, we examine effect accounting environmental factors such as bathymetry median grain size (D50) substrate, well coordinates known patches, performance Random Forest (RF) classifier used determine cover. Using 148 Landsat images Venice Lagoon (Italy) between 1999 2020, trained RF only spectral features surveys, respectively 2002 2017. Then, by adding above applying time-based correction predictions, created multiple models different feature combinations. We tested quality resulting predictions each model against showing that bathymetry, D50 patches exert an influence dependant training image survey chosen. 2017, where using causes overestimate surface area, no significant change in was observed. Conversely, 2002, addition out-of-image particularly vegetated greatly improves predictive capacity model, while still allowing detection beds absent reference survey. Applying eliminates small temporal variations improving performed before correction. conclude together correction, has most potential produce reliable While case study alone insufficient explain how geographic location information influences classification process, suggest it linked inherent spatial auto-correlation meadow interest develop our map vegetation across time, identify phenomenon warranting further research.

Language: Английский

Tissue-specific transcriptome profiles identify functional differences key to understanding whole plant response to life in variable salinity DOI Creative Commons
Mitchell Booth, Martin F. Breed, Gary A. Kendrick

et al.

Biology Open, Journal Year: 2022, Volume and Issue: 11(8)

Published: July 25, 2022

Plants endure environmental stressors via adaptation and phenotypic plasticity. Studying these mechanisms in seagrasses is extremely relevant as they are important primary producers functionally significant carbon sinks. These not well understood at the tissue level seagrasses. Using RNA-seq, we generated transcriptome sequences from of leaf, basal leaf meristem root organs Posidonia australis, establishing baseline situ transcriptomic profiles for tissues across a salinity gradient. Samples were collected four P. australis meadows growing Shark Bay, Western Australia. Analysis gene expression showed differences between types, with more variation among leaves than or roots. Gene ontology enrichment analysis largely due to role photosynthesis, plant growth nutrient absorption organs, respectively. Differential upregulation regulation processes higher meadows. Our study highlights importance considering when evaluating whole-plant responses change. This article has an associated First Person interview first author paper.

Language: Английский

Citations

11
Comparison of imidacloprid, propiconazole, and nanopropiconazole effects on the development, behavior, and gene expression biomarkers of the Pacific oyster (Magallana gigas) DOI Creative Commons
Eliška Kuchovská, Bénédicte Morin, Rocío López‐Cabeza

et al.

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 764, P. 142921 - 142921

Published: Oct. 10, 2020

Language: Английский

Citations

16
Ecotoxicological assessment of copper and zinc in a common aquatic plant Ceratophyllum demersum: Physiological effects and biomarker responses DOI

Pornpailin Luengluetham,

Ponlachart Chotikarn, Jongdee Nopparat

et al.

Aquatic Botany, Journal Year: 2023, Volume and Issue: 188, P. 103678 - 103678

Published: June 17, 2023

Language: Английский

Citations

5
Transport of photosystem II (PS II)–inhibiting herbicides through the vadose zone under sugarcane in the Wet Tropics, Australia DOI
Rezaul Karim, Lucy Reading, Les Dawes

et al.

CATENA, Journal Year: 2021, Volume and Issue: 206, P. 105527 - 105527

Published: June 23, 2021

Language: Английский

Citations

11
Anthropogenic actions alter the aquatic environment quality: biomonitoring study of a river in Southern Brazil DOI
Tamiris Rosso Storck,

Aline Monique Blank do Amaral,

Taisson Kroth Thomé da Cruz

et al.

Aquatic Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 29, 2024

Language: Английский

Citations

1
Site-level and spatially-explicit modelling provides some insights on key factors driving seasonal dynamics of an intertidal seagrass DOI Creative Commons
Héloise Müller,

Etienne Auclair,

Aubin Woehrel

et al.

Ecological Modelling, Journal Year: 2024, Volume and Issue: 495, P. 110802 - 110802

Published: July 19, 2024

In a context of worldwide decline and given the critical ecological role marine seagrasses to coastal ecosystem structure functioning, regional conservation initiatives have emerged over past thirty years protect these important habitat-forming species.Yet, effective interventions need account for site-specific processes stressors.Thus, our ability accurately predict seagrass dynamics is pivotal support management interventions.To date, determinist process-based modelling has provided insights on drivers dynamics.Here, we developed an original model framework that combines hydrodynamics ocean with local data-driven models rely Boosted Regression Trees seasonal patch-level plant-level features as function environmental conditions.Based only 12-month monitoring across nine sites, traits successfully reproduce overall based mostly inferred relationships monthly light temperature, lesser extent, exposure physical stressors (i.e., currents waves).While fail finely capture spatial discrepancies all sites (especially where demonstrates higher growth potential), spatially-explicit simulations highlight how seagrass-hydrodynamics feedback whole bay can dampen potential due shear stress.However, this offers simulate long-term changes in extent status meadows Arcachon Bay, explicit resolving hydro-sediment effects appears priority better range between conditions.

Language: Английский

Citations

1
Simulated conservative tracer as a proxy for S-metolachlor concentration predictions compared to POCIS measurements in Arcachon Bay DOI
Vincent Fauvelle, Angel Belles, Hélène Budzinski

et al.

Marine Pollution Bulletin, Journal Year: 2018, Volume and Issue: 133, P. 423 - 427

Published: June 19, 2018

Language: Английский

Citations

10
Toward coherent space–time mapping of seagrass cover from satellite data: an example of a Mediterranean lagoon DOI Creative Commons
Guillaume Goodwin, Marco Marani, Sonia Silvestri

et al.

Biogeosciences, Journal Year: 2023, Volume and Issue: 20(22), P. 4551 - 4576

Published: Nov. 20, 2023

Abstract. Seagrass meadows are a highly productive and economically important shallow coastal habitat. Their sensitivity to natural anthropogenic disturbances, combined with their importance for local biodiversity, carbon stocks, sediment dynamics, motivate frequent monitoring of distribution. However, generating time series seagrass cover from field observations is costly, mapping methods based on remote sensing require restrictive conditions seabed visibility, limiting the frequency observations. In this contribution, we examine effect accounting environmental factors, such as bathymetry median grain size (D50) substrate well coordinates known patches, performance random forest (RF) classifier used determine cover. Using 148 Landsat images Venice Lagoon (Italy) between 1999 2020, trained an RF only spectral features surveys 2002 2017. Then, by adding above applying time-based correction predictions, created multiple models different feature combinations. We tested quality resulting predictions each model against surveys, showing that bathymetry, D50, patches exert influence dependent training image survey chosen. 2017, where using causes overestimate surface area, no significant change in was observed. Conversely, 2002, addition out-of-image particularly vegetated greatly improves predictive capacity model, while still allowing detection beds absent reference survey. Applying eliminates small temporal variations improving performed before correction. conclude together correction, has most potential produce reliable While case study alone insufficient explain how geographic location information influences classification process, suggest it linked inherent spatial auto-correlation meadow interest remote-sensing develop our map vegetation across time, identify phenomenon warranting further research.

Language: Английский

Citations

3
Genotypes of the aquatic plant Myriophyllum spicatum with different growth strategies show contrasting sensitivities to copper contamination DOI Creative Commons
Eva Roubeau Dumont, Camille Larue,

Hiram Castillo Michel

et al.

Chemosphere, Journal Year: 2019, Volume and Issue: 245, P. 125552 - 125552

Published: Dec. 10, 2019

Language: Английский

Citations

8
Combined effects of high irradiance and temperature on the photosynthetic and antioxidant responses of Thalassia hemprichii and Halophila ovalis DOI

Chanida Saewong,

Sutthinut Soonthornkalump, Pimchanok Buapet

et al.

Botanica Marina, Journal Year: 2022, Volume and Issue: 65(5), P. 325 - 335

Published: Sept. 16, 2022

Abstract During midday low tides, tropical intertidal seagrasses are challenged by high irradiance and temperature. This study assessed photosynthetic oxidative stress responses of Thalassia hemprichii Halophila ovalis exposed to 150 1000 μmol photons m −2 s −1 30 40 °C for 3 h. High temperature (40 °C) significantly decreased the maximum quantum yield both this heat-induced photoinhibition was exacerbated (1000 ). also aggravated effects on effective T. . Non-photochemical quenching (NPQ) induced stressors with no additive effects. In contrast, NPQ H. under at but inhibited °C. Nevertheless, antioxidant enzyme activity reactive oxygen species content did not differ among treatments in either seagrass. Monitoring chloroplast distribution revealed a partial inhibitory effect avoidance movement irradiance. Our results suggest that warming events may cause detrimental impacts shallow water seagrasses. be more vulnerable than as its photoprotection, i.e. movement, hindered

Language: Английский

Citations

5