Come, tell me how you live: Habitat suitability analysis for <scp><i>Ostrea edulis</i></scp> restoration

Pogoda, Bernadette; Hausen, Tanja; Rothe, Marko; Bakker, Felix; Hauser, Sarah; Colsoul, Bérenger; Dureuil, Manuel; Krause, Jochen C.; Heinicke, Kathrin; Pusch, Christian; Eisenbarth, Simone; Kreutle, Axel; Peter, Corina; Pesch, Roland

doi:10.1002/aqc.3928

Cited by 4 publications

(9 citation statements)

References 82 publications

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“…For the construction of allometric and RF models, and weight‐to‐weight transformation factors, a set of size and weight variables, the location where the oysters were measured/collected, and whether these were single or clustered individuals (also including the number of individuals per cluster) were considered. All measurements were taken between April 2020 and September 2021, within the frame of several field excursions and expeditions (see Acknowledgements) of the RESTORE project (Merk, Colsoul & Pogoda, 2020; Pogoda et al, 2020b; Pineda‐Metz et al, 2023). The size variables considered were shell height (H, umbo hinge to longest edge), length (L, longest distance across the valve) and width (Wi, maximum distance between external surfaces of the umbo), these were all measured to the closest 0.01 mm using a digital caliper (Figure 1).…”

Section: Methodsmentioning

confidence: 99%

A machine learning model and biometric transformations to facilitate European oyster monitoring

Pineda-Metz

Merk

Pogoda

2023

Aquatic Conservation

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Ecosystem monitoring, especially in the context of marine conservation and management requires abundance and biomass metrics, condition indices, and measures of ecosystem services of key species, all of which can be calculated using biometric transformation factors. Following ecosystem restoration measures in the North Sea and north‐east Atlantic waters, European oyster (Ostrea edulis) restoration and its monitoring have substantially increased over the past decade. Restoration activities are implemented by diverse approaches and practitioners ranging from governmental conservation agencies, research institutions and non‐governmental institutions to regional groups, including citizen science projects. Thus, tools for facilitating data acquisition and estimation with non‐destructive techniques can support monitoring quantitatively and qualitatively. Weight‐to‐weight transformation factors for calculating dry weight of O. edulis from wet weight measurements are presented. Another important tool is the estimation of weight only from size measurements. The classical approach to achieve these transformation factors is the construction of allometric models, which, however, can greatly vary among regions and between years, making them extremely location/season specific. Alternative and more flexible models constructed using random forests are proposed. This algorithm is a machine learning technique that is increasingly used in ecology, and has been proven to outperform other predictive models. From biometric variable measurements of 1,401 O. edulis individuals, allometric models were used to estimate total, shell and body wet weights, and compare them with 15 random forest models. In general, the random forest models outperformed the allometric ones, with lower error when estimating weight. The developed random forest models can thus provide a tool for facilitating oyster restoration monitoring by increasing data acquisition without the need of sacrificing European oyster individuals. Their improvement can imply its implementation in other regions and support European oyster restoration and monitoring efforts throughout Europe.

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Section: Methodsmentioning

confidence: 99%

A machine learning model and biometric transformations to facilitate European oyster monitoring

Pineda-Metz

Merk

Pogoda

2023

Aquatic Conservation

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“…These tools are ideal to investigate benthic communities, their structure and the services they provide, over both small and large areas in a non-destructive way (Solan et al, 2003;Eleftheriou & McIntyre, 2005;Clark, Consalvey & Rowden, 2016). To optimize the sampling, the number of images or videos to be taken (or area to be sampled) needs to be adjusted, so that the sampling method (Pogoda et al, 2020b;Pogoda et al, this issue).…”

Section: Discussionmentioning

confidence: 99%

“…The site selection process was conducted by following the framework of marine protected area (MPA) management and nature conservation goals, as well as by considering defined criteria (Kamermans et al, 2018; Pogoda et al, 2020b; Hughes et al, this issue). The study area was defined in the north‐western part of BRG, at 30 m water depth and on medium to coarse sand (Figure 1; details in Pogoda et al, 2020b).…”

Section: Methodsmentioning

confidence: 99%

“…Belgium, the Netherlands and Germany are currently active in the historical offshore oyster grounds and have compiled valuable knowledge on site selection and habitat suitability (Kamermans et al, 2018;Bennema, Engelhard & Lindeboom, 2020;Pogoda et al, 2020c;Pogoda et al, 2023), oyster growth, condition and health in sublittoral environments (Merk, Colsoul & Pogoda, 2020;Sas et al, 2020), as well as on jurisdictions and logistical practice (Pogoda et al, 2020b). In Germany, the restoration of the European flat oyster and its biogenic reefs is implemented as a nature conservation measure for the Natura 2000 site Borkum Reef Ground (BRG; BfN, 2020), in the context of preservation and restoration of biodiversity, a key ecological function (Pogoda et al, 2020b;Pogoda, F I G U R E 1 Map of the German Bight, including Germany's Exclusive Economic Zone in the North Sea and the marine protected areas Dogger Bank, Sylt Outer Reef and Borkum Reef Ground (BRG; green shade) with the study area (red polygon) where the pilot oyster reef (•) is located. Brown polygons represent the historical distribution of Ostrea edulis in the North Sea.…”

Section: Introductionmentioning

confidence: 99%

“…Belgium, the Netherlands and Germany are currently active in the historical offshore oyster grounds and have compiled valuable knowledge on site selection and habitat suitability (Kamermans et al, 2018; Bennema, Engelhard & Lindeboom, 2020; Pogoda et al, 2020c; Pogoda et al, 2023), oyster growth, condition and health in sublittoral environments (Merk, Colsoul & Pogoda, 2020; Sas et al, 2020), as well as on jurisdictions and logistical practice (Pogoda et al, 2020b). In Germany, the restoration of the European flat oyster and its biogenic reefs is implemented as a nature conservation measure for the Natura 2000 site Borkum Reef Ground (BRG; BfN, 2020), in the context of preservation and restoration of biodiversity, a key ecological function (Pogoda et al, 2020b; Pogoda, Peter & von Nordheim, 2021). Thus, German programmes focus on different aspects of O. edulis restoration, namely: (i) the supply of suitable seed oysters for supporting restoration efforts (project PROCEED); and (ii) the implementation and continuous monitoring of a pilot oyster reef in the German offshore site BRG (project RESTORE), where seed oysters are deployed to build the basis of a future oyster reef to increase and protect biodiversity.…”

Section: Introductionmentioning

confidence: 99%

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Setting the stones to restore and monitor European flat oyster reefs in the German North Sea

Pineda-Metz

Colsoul

Niewöhner

et al. 2023

Aquatic Conservation

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Ecological restoration includes specific technical phases over the course of an ecosystem recovery process. In the marine environment and for oyster reef restoration, the installation and implementation of pilot reefs close the gap between feasibility studies with small‐scale experiments and designated upscaling for marine conservation measures. Against this background, this study presents the design, planning and installation of the first pilot oyster reef in offshore sublittoral regions of the North Sea. The work was conducted as part of marine protected area management in the Natura 2000 site Borkum Reef Ground in the German Bight, in the area of historical offshore oyster grounds. It includes logistical considerations, material selection, methodology for reef base construction and deployment of European flat oysters Ostrea edulis as spat‐on‐shell, young and adult single seed oysters, and spat‐on‐reef, as well as the development of an efficient monitoring approach for reef‐associated biodiversity. Native Oyster Restoration Alliance monitoring methodologies, such as underwater visual census and seabed images were selected, tested and successfully adapted for the pilot oyster reef and study site. The evaluation and optimization of offshore sublittoral oyster reef monitoring are presented here, and biodiversity metrics are put into perspective with data from recent and historical studies. Results show a few mobile fauna species (e.g., fish and decapods) as first colonizers after reef construction. One year later, biodiversity increased due to a larger number of invertebrate and fish species. However, the pilot oyster reef community still represents an early recolonization stage, with lower biodiversity than historical records. This study presents a proof of concept for the design, planning and construction of an offshore oyster reef and indicates stages in the recovery process. Strategies to optimize and to complement reef‐monitoring in challenging environments are discussed, emphasizing additional molecular and functional analyses for future assessments.

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New biostratigraphic and paleoecologic data on the Pliocene-Pleistocene paleogeographic evolution of the northeastern coastal area of the central Tyrrhenian sea (Italy)

Bulian,

Genesini,

Marra

et al. 2024

Quaternary International

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Come, tell me how you live: Habitat suitability analysis for Ostrea edulis restoration

Cited by 4 publications

References 82 publications

A machine learning model and biometric transformations to facilitate European oyster monitoring

A machine learning model and biometric transformations to facilitate European oyster monitoring

Setting the stones to restore and monitor European flat oyster reefs in the German North Sea

New biostratigraphic and paleoecologic data on the Pliocene-Pleistocene paleogeographic evolution of the northeastern coastal area of the central Tyrrhenian sea (Italy)

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