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Tilstone GH, Land PE, Pardo S, Kerimoglu O, Van der Zande D. Threshold indicators of primary production in the north-east Atlantic for assessing environmental disturbances using 21 years of satellite ocean colour. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158757. [PMID: 36108866 DOI: 10.1016/j.scitotenv.2022.158757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 07/08/2022] [Accepted: 09/10/2022] [Indexed: 06/15/2023]
Abstract
Primary production (PP) is highly sensitive to changes in the ecosystem and can be used as an early warning indicator for disturbance in the marine environment. Historic indicators of good environmental status of the north-east (NE) Atlantic and north-west (NW) European Seas suggested that daily PP should not exceed 2-3 g C m-2 d-1 during phytoplankton blooms and that annual rates should be <300 g C m-2 yr-1. We use 21 years of Copernicus Marine Service (CMEMS) Ocean Colour data from September 1997 to December 2018 to assess areas in the NE Atlantic with similar peak, climatology, phenology and annual PP values. Daily and annual thresholds of the 90th percentile (P90) of PP are defined for these areas and PP values above these thresholds indicate disturbances, both natural and anthropogenic, in the marine environment. Two case studies are used to test the validity and accuracy of these thresholds. The first is the eruption of the volcano Eyjafjallajökull, which deposited large volumes of volcanic dust (and therefore iron) into the NE Atlantic during April and May 2010. A clear signature in both PP and chlorophyll-a (Chl a) was evident from 28th April to 6th May and from 18th to 27th May 2010, when PP exceeded the PP P90 threshold for the region, which was comparatively more sensitive than Chl a P90 as an indicator of this disturbance. The second case study was for the riverine input of total nitrogen and phosphorus, along the Wadden Sea coast in the North Sea. During years when total nitrogen and phosphorus were above the climatology maximum, there was a lag signature in both PP and Chl a when PP exceeded the PP P90 threshold defined for the study area which was slightly more sensitive than Chl a P90. This technique represents an accurate means of determining disturbances in the environment both in the coastal and offshore waters in the NE Atlantic using remotely sensed ocean colour data.
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Affiliation(s)
- Gavin H Tilstone
- Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK.
| | - Peter E Land
- Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK
| | - Silvia Pardo
- Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK
| | - Onur Kerimoglu
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
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A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective. REMOTE SENSING 2021. [DOI: 10.3390/rs13214347] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Algae serves as a food source for a wide range of aquatic species; however, a high concentration of inorganic nutrients under favorable conditions can result in the development of harmful algal blooms (HABs). Many studies have addressed HAB detection and monitoring; however, no global scale meta-analysis has specifically explored remote sensing-based HAB monitoring. Therefore, this manuscript elucidates and visualizes spatiotemporal trends in HAB detection and monitoring using remote sensing methods and discusses future insights through a meta-analysis of 420 journal articles. The results indicate an increase in the quantity of published articles which have facilitated the analysis of sensors, software, and HAB proxy estimation methods. The comparison across multiple studies highlighted the need for a standardized reporting method for HAB proxy estimation. Research gaps include: (1) atmospheric correction methods, particularly for turbid waters, (2) the use of analytical-based models, (3) the application of machine learning algorithms, (4) the generation of harmonized virtual constellation and data fusion for increased spatial and temporal resolutions, and (5) the use of cloud-computing platforms for large scale HAB detection and monitoring. The planned hyperspectral satellites will aid in filling these gaps to some extent. Overall, this review provides a snapshot of spatiotemporal trends in HAB monitoring to assist in decision making for future studies.
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Satellite and In Situ Monitoring of Chl-a, Turbidity, and Total Suspended Matter in Coastal Waters: Experience of the Year 2017 along the French Coasts. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2020. [DOI: 10.3390/jmse8090665] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The consistency of satellite and in situ time series of Chlorophyll-a (Chl-a), Turbidity and Total Suspended Matters (TSM) was investigated at 17 coastal stations throughout the year 2017. These stations covered different water types, from relatively clear waters in the Mediterranean Sea to moderately turbid regions in the Bay of Biscay and the southern bight of the North-Sea. Satellite retrievals were derived from MODIS/AQUA, VIIRS/NPP and OLCI-A/Sentinel-3 spectral reflectance. In situ data were obtained from the coastal phytoplankton networks SOMLIT (CNRS), REPHY (Ifremer) and associated networks. Satellite and in situ retrievals of the year 2017 were compared to the historical seasonal cycles and percentiles, 10 and 90, observed in situ. Regarding the sampling frequency in the Mediterranean Sea, a weekly in situ sampling allowed all major peaks in Chl-a caught from space to be recorded at sea, and, conversely, all in situ peaks were observed from space in a frequently cloud-free atmosphere. In waters of the Eastern English Channel, lower levels of Chl-a were observed, both in situ and from space, compared to the historical averages. However, despite a good overall agreement for low to moderate biomass, the satellite method, based on blue and green wavelengths, tends to provide elevated and variable Chl-a in a high biomass environment. Satellite-derived TSM and Turbidity were quite consistent with in situ measurements. Moreover, satellite retrievals of the water clarity parameters often showed a lower range of variability than their in situ counterparts did, being less scattered above and under the seasonal curves of percentiles 10 and 90.
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Buma WG, Lee SI, Seo JY. Recent Surface Water Extent of Lake Chad from Multispectral Sensors and GRACE. SENSORS 2018; 18:s18072082. [PMID: 29958481 PMCID: PMC6069056 DOI: 10.3390/s18072082] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 06/22/2018] [Accepted: 06/25/2018] [Indexed: 11/24/2022]
Abstract
Consistent observations of lakes and reservoirs that comprise the majority of surface freshwater globally are limited, especially in Africa where water bodies are exposed to unfavorable climatic conditions and human interactions. Publicly available satellite imagery has increased the ability to monitor water bodies of various sizes without much financial hassle. Landsat 7 and 8 images were used in this study to estimate area changes around Lake Chad. The Automated Water Extraction Index (AWEI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI) and Normalized Difference Vegetation Index (NDVI) were compared for the remote sensing retrieval process of surface water. Otsu threshold method was used to separate water from non-water features. With an overall accuracy of ~96% and an inter-rater agreement (kappa coefficient) of 0.91, the MNDWI was a better indicator for mapping recent area changes in Lake Chad and was used to estimate the lake’s area changes from 2003–2016. Extracted monthly areas showed an increasing trend and ranged between ~1242 km2 and 2231 km2 indicating high variability within the 13-year period, 2003–2016. In addition, we combined Landsat measurements with Total Water Storage Anomaly (TWSA) data from the Gravity Recovery and Climate Experiment (GRACE) satellites. This combination is well matched with our estimated surface area trends. This work not only demonstrates the importance of remote sensing in sparsely gauged developing countries, it also suggests the use of freely available high-quality imagery data to address existing lake crisis.
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Affiliation(s)
- Willibroad Gabila Buma
- Department of Civil and Environmental Engineering, Dongguk University, Seoul 04620, Korea.
| | - Sang-Il Lee
- Department of Civil and Environmental Engineering, Dongguk University, Seoul 04620, Korea.
| | - Jae Young Seo
- Department of Civil and Environmental Engineering, Dongguk University, Seoul 04620, Korea.
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MERIS Phytoplankton Time Series Products from the SW Iberian Peninsula (Sagres) Using Seasonal-Trend Decomposition Based on Loess. REMOTE SENSING 2016. [DOI: 10.3390/rs8060449] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Garmendia M, Borja Á, Breton F, Butenschön M, Marín A, Miller PI, Morisseau F, Xu W. Challenges and difficulties in assessing the environmental status under the requirements of the Ecosystem Approach in North African countries, illustrated by eutrophication assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT 2015; 187:289. [PMID: 25903402 DOI: 10.1007/s10661-015-4316-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 01/18/2015] [Indexed: 06/04/2023]
Abstract
Marine ecosystems provide many ecosystem goods and services. However, these ecosystems and the benefits they create for humans are subject to competing uses and increasing pressures. As a consequence of the increasing threats to the marine environment, several regulations require applying an ecosystem-based approach for managing the marine environment. Within the Mediterranean Sea, in 2008, the Contracting Parties of the Mediterranean Action Plan decided to progressively apply the Ecosystem Approach (EcAp) with the objective of achieving Good Environmental Status (GES) for 2018. To assess the environmental status, the EcAp proposes 11 Ecological Objectives, each of which requires a set of relevant indicators to be integrated. Progress towards the EcAp entails a gradual and important challenge for North African countries, and efforts have to be initiated to propose and discuss methods. Accordingly, to enhance the capacity of North African countries to implement EcAp and particularly to propose and discuss indicators and methods to assess GES, the aim of this manuscript is to identify the practical problems and gaps found at each stage of the environmental status assessment process. For this purpose, a stepwise method has been proposed to assess the environmental status using Ecologic Objective 5-Eutrophication as example.
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Affiliation(s)
- Maialen Garmendia
- Basque Centre for Climate Change, Alameda Urquijo, 4, 4°-1°, 48008, Bilbao, Spain,
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Petus C, Collier C, Devlin M, Rasheed M, McKenna S. Using MODIS data for understanding changes in seagrass meadow health: a case study in the Great Barrier Reef (Australia). MARINE ENVIRONMENTAL RESEARCH 2014; 98:68-85. [PMID: 24709476 DOI: 10.1016/j.marenvres.2014.03.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2013] [Revised: 03/03/2014] [Accepted: 03/07/2014] [Indexed: 05/15/2023]
Abstract
Stretching more than 2000 km along the Queensland coast, the Great Barrier Reef Marine Park (GBR) shelters over 43,000 square km of seagrass meadows. Despite the status of marine protected area and World Heritage listing of the GBR, local seagrass meadows are under stress from reduced water quality levels; with reduction in the amount of light available for seagrass photosynthesis defined as the primary cause of seagrass loss throughout the GBR. Methods have been developed to map GBR plume water types by using MODIS quasi-true colour (hereafter true colour) images reclassified in function of their dominant colour. These data can be used as an interpretative tool for understanding changes in seagrass meadow health (as defined in this study by the seagrass area and abundance) at different spatial and temporal scales. We tested this method in Cleveland Bay, in the northern GBR, where substantial loss in seagrass area and biomass was detected by annual monitoring from 2007 to 2011. A strong correlation was found between bay-wide seagrass meadow area and biomass and exposure to turbid Primary (sediment-dominated) water type. There was also a strong correlation between the changes of biomass and area of individual meadows and exposure of seagrass ecosystems to Primary water type over the 5-year period. Seagrass meadows were also grouped according to the dominant species within each meadow, irrespective of location within Cleveland Bay. These consolidated community types did not correlate well with the exposure to Primary water type, and this is likely to be due to local environmental conditions with the individual meadows that comprise these groupings. This study proved that remote sensing data provide the synoptic window and repetitivity required to investigate changes in water quality conditions over time. Remote sensing data provide an opportunity to investigate the risk of marine-coastal ecosystems to light limitation due to increased water turbidity when in situ water quality data is not available or is insufficient.
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Affiliation(s)
- Caroline Petus
- Centre for Tropical Water and Aquatic Ecosystem Research, Catchment to Reef Research Group, James Cook University, Townsville, QLD 4811, Australia.
| | - Catherine Collier
- School of Marine and Tropical Biology, James Cook University, Townsville, QLD 4811, Australia
| | - Michelle Devlin
- Centre for Tropical Water and Aquatic Ecosystem Research, Catchment to Reef Research Group, James Cook University, Townsville, QLD 4811, Australia
| | - Michael Rasheed
- Centre for Tropical Water and Aquatic Ecosystem Research, Seagrass Research Group, James Cook University, PO Box 6811, Cairns QLD 4870, Australia
| | - Skye McKenna
- Centre for Tropical Water and Aquatic Ecosystem Research, Seagrass Research Group, James Cook University, PO Box 6811, Cairns QLD 4870, Australia
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Garmendia M, Borja A, Franco J, Revilla M. Phytoplankton composition indicators for the assessment of eutrophication in marine waters: present state and challenges within the European directives. MARINE POLLUTION BULLETIN 2013; 66:7-16. [PMID: 23127419 DOI: 10.1016/j.marpolbul.2012.10.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2012] [Revised: 10/02/2012] [Accepted: 10/05/2012] [Indexed: 06/01/2023]
Abstract
Several legislations worldwide require assessing the health status of marine ecosystems. In Europe, the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD) demand the evaluation of the status with the overall objective of achieving at least "Good Status", by 2015 and 2020, respectively. For this purpose, Member States are required to evaluate different biological, physico-chemical and hydro-morphological quality elements (WFD), or qualitative descriptors (MSFD). The assessments of both, the phytoplankton element and the eutrophication descriptor should include several attributes, namely phytoplankton biomass, composition, abundance and blooms. However, few composition-based indicators have been proposed. Principally, phytoplankton still relies on chlorophyll-a concentration measurements, mainly due to the high cost of collecting information on this element and the difficulties establishing significant pressure-impact relationships. This investigation describes the difficulties in the development of a phytoplankton community composition indicator, the state of the art and the main challenges for the future.
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Affiliation(s)
- Maialen Garmendia
- AZTI-Tecnalia, Marine Research Division, Herrera Kaia, Portualdea s/n, 20110 Pasaia, Spain.
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Seoane S, Puente A, Guinda X, Juanes JA. Bloom forming and toxic phytoplankton in transitional and coastal waters of Cantabria region coast (Southeastern Bay of Biscay, Spain). MARINE POLLUTION BULLETIN 2012; 64:2860-2866. [PMID: 23017945 DOI: 10.1016/j.marpolbul.2012.08.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2012] [Revised: 08/21/2012] [Accepted: 08/23/2012] [Indexed: 06/01/2023]
Abstract
Phytoplankton monitoring has extended to practically all the regions of the European coast due to the implementation of the European Water Framework Directive. In this way, the study of phytoplankton taxonomic composition and dynamic is being performed in many areas poorly studied or not studied before. During the last years, a monitoring programme has been carried out at the coast of Cantabria region (SE Bay of Biscay); the presence of some potentially toxic and bloom forming species (>7.5 × 10⁵ cells per litre) has been observed. Diatoms and cryptophytes are the main blooming taxa in this region in the majority of the estuaries and in some of the coastal sites. All estuaries and coastal stations showed at least one potentially toxic species, being the dinoflagellates the group with the highest number of taxa observed. The potentially toxic species found in highest concentrations were the genera Pseudo-nitzschia and Chrysochromulina.
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Affiliation(s)
- Sergio Seoane
- Department of Plant Biology and Ecology, Faculty of Science and Technology, University of the Basque Country, UPV/EHU, Leioa 48940, Spain.
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