Mapping near surface global marine ecosystems through cluster analysis of environmental data

Zhao, Qianshuo; Basher, Zeenatul; Costello, Mark J.

doi:10.1111/1440-1703.12060

Cited by 13 publications

(11 citation statements)

References 61 publications

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“…However, due to the lack of works for this region, comparisons between the present results and other studies were very limited. In other studies, authors have proposed a similar number of dominant regimes on a large scale in the tropical Pacific (Fereday et al, 2008), for the determination of robust modes of Northern Hemisphere sea ice variability (Fučkar et al, 2016), and for ocean mapping from environmental data (Zhao et al, 2020).…”

Section: Performance Indices and Clustering Qualitymentioning

confidence: 99%

Clustering analysis of the Sargassum transport process: application to beaching prediction in the Lesser Antilles

Bernard

Biabiany

Cécé³

et al. 2022

Ocean Sci.

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Abstract. The massive Sargassum algae beachings observed over the past decade are a new natural hazard currently impacting the island states of the Caribbean region (human health, environmental damages, and economic losses). This study aims to improve the prediction of the surface current dynamic leading to beachings in the Lesser Antilles using clustering analysis methods. The input surface currents were derived from the Mercator model and the Hybrid Coordinate Ocean Model (HYCOM) outputs in which we integrated the windage effect. Past daily observations of Sargassum beaching on Guadeloupe coasts and satellite-based Sargassum offshore abundance were also integrated. Four representative current regimes were identified for both Mercator and HYCOM data. The analysis of the current sequences leading to beachings showed that the recurrence of two current regimes is related to the beaching peaks respectively observed in March and August. The performance score of the predictive model showed that the HYCOM data seem more suitable to assess coastal Sargassum hazard in the Lesser Antilles. For 1 year of tests (i.e., 2021), the decision tree accuracy respectively reached 70.1 % and 58.2 % for HYCOM and Mercator with a temporal uncertainty range ±3 d around the forecast date. The present clustering analysis predictive system, requiring lower computational resources compared to conventional forecast models, would help improve this risk management in the islands of the region.

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Section: Performance Indices and Clustering Qualitymentioning

confidence: 99%

Clustering analysis of the Sargassum transport process: application to beaching prediction in the Lesser Antilles

Bernard

Biabiany

Cécé³

et al. 2022

Ocean Sci.

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show abstract

“…However, due to the lack of works for this region, comparisons between the present results and other studies were very limited. In other studies, authors have proposed a similar number of dominant regimes on a large scale, in the tropical Pacific (Fereday et al, 2008), for the determination of robust modes of Northern Hemisphere Sea ice variability (Fučkar et al, 2016), or for ocean mapping from environmental data (Zhao et al, 2020).…”

Section: Performance Indices and Clustering Qualitymentioning

confidence: 99%

Clustering analysis of the Sargassum transport process: application to stranding prediction in the Lesser Antilles

Bernard

Biabiany

Cécé³

et al. 2021

Preprint

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Abstract. The massive Sargassum algae strandings observed over the past decade are the new natural hazard that currently impacts the island states of the Caribbean region (human health, environmental damages, and economic losses). This study aims to improve the prediction of the surface current dynamic leading to beachings in the Lesser Antilles, using clustering analysis methods. The input surface currents including windage effect were derived from the Mercator model and the Hybrid Coordinate Ocean Model (HYCOM). Past daily observations of Sargassum stranding on Guadeloupe coasts were also integrated. Four representative current regimes were identified for both Mercator and HYCOM data. The analysis of the backward current sequences leading to strandings showed that the recurrence of two current regimes is related to the beaching peaks observed respectively in March and in August. A decision tree classifier was built and its accuracy reaches 73.3 % with 0.04°-scale HYCOM data and 50.8 % with 0.08°-scale Mercator data. This significant accuracy difference highlights the need of very small-scale current data (i.e., lower than 5 km scale) to assess coastal Sargassum hazard in the Lesser Antilles. The present clustering analysis predictive system would help improve this risk management in the islands of this region.

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“…Such global targets recognize that the percentage area of seascapes covered by protected areas alone may not be enough to indicate effective protection of marine systems, owing to the use of poor delineation methods or a lack of on‐the‐ground management or monitoring (Watson et al, 2014; Visconti et al, 2019). Therefore, to deliver effective conservation outcomes and avoid the problem of ‘paper parks’ (Wilhelm et al, 2014; Di Minin & Toivonen, 2015), it is necessary to prioritize action at relevant sites of importance for biodiversity (IPBES, 2019; Visconti et al, 2019; Zhao, Basher & Costello, 2020).…”

Section: Introductionmentioning

confidence: 99%

A novel combination of methods identifies priority conservation areas for an endemic California Current seabird

Soldatini

Albores‐Barajas

Rosas‐Hernández

et al. 2022

Aquatic Conservation

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1. There are growing pressures on marine biodiversity. Seabirds in particular are one the most-threatened groups. The black-vented shearwater (Puffinus opisthomelas) is endemic to Mexican islands and the only shearwater living its entire life cycle in the California Current System, one of the most productive large marine ecosystems in the world. Marine Protected Areas (MPAs) in this region, however, were designed without consideration of accurate data on seabird distributions.2. Here, 57 black-vented shearwaters were GPS-tracked from their main breeding colony (95% of the global population) over four seasons (2016)(2017)(2018)(2019) to estimate their at-sea distribution. Two methods were applied to identify priority conservation areas: the approach developed by BirdLife International to identify marine Important Bird and Biodiversity Areas and a method using expectationmaximization binary clustering to identify core foraging areas.3. One potential marine Important Bird and Biodiversity Area close to the breeding colony and five core foraging areas were identified. These priority conservation areas were largely beyond the bounds of the current MPA network in the region. 4. Our results detail opportunities for improving the implementation of conservation and management measures in the California Current System region with respect to seabirds. The approach of combining site identification methods can be applied to other seabird species for which high-resolution tracking data are available and can help guide conservation action plans and MPA design.

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Mapping near surface global marine ecosystems through cluster analysis of environmental data

Cited by 13 publications

References 61 publications

Clustering analysis of the Sargassum transport process: application to beaching prediction in the Lesser Antilles

Clustering analysis of the Sargassum transport process: application to beaching prediction in the Lesser Antilles

Clustering analysis of the Sargassum transport process: application to stranding prediction in the Lesser Antilles

A novel combination of methods identifies priority conservation areas for an endemic California Current seabird

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