Benthic foraminifera as proxies for assessing the effects of a pier marina construction: A case study in the naturally stressed environment of the Saco da Ribeira (Flamengo Bay, SE Brazil)

Sousa, Silvia Helena de Mello e; Jesus, Márcio S. dos S. de; Yamashita, Cintia; Mendes, Rafaela; Frontalini, Fabrizio; Siegle, Eduardo; Kim, Bianca Sung Mi; Ferreira, Paulo Alves de Lima; Renó, Raquel; Martins, Maria Virgínia Alves; Nascimento, Jorge Willian Leandro; Figueira, Rubens César Lopes; Mahiques, Michel Michaelovitch de

doi:10.1016/j.marpolbul.2023.115225

Cited by 1 publication

(1 citation statement)

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“…Generally, construction works in coastal areas are associated with the loss of habitats [85,86] and consequent changes in benthic communities [87,88]. Other changes associated with the construction of a marina are the loss of connectivity at the land-water interface, the resuspension of sediments in the water column, and the wave reflection, or refraction and consequential scouring of the sediment bottom [88,89]. Further, introduction of hard structures in predominantly soft sediment environments can serve as the steppingstones for invasive species [90].…”

Section: Outcomes Of This Case Studymentioning

confidence: 99%

Integrating Ecosystem Services into Impact Assessments: A Process-Based Approach Applied to the Belgian Coastal Zone

Van der Biest,

Staes,

Prigge

et al. 2023

Sustainability

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Policy makers increasingly acknowledge the importance of considering ecosystem services (ESs) and biodiversity in impact assessment (IA) to reduce ecosystem degradation and halt ongoing losses of biodiversity. Recent research demonstrates how ESs can add value to IA, i.e., by shifting the focus from avoiding negative impacts to creating opportunities, by linking effects on ecological functioning to benefits for society, and by providing a multi-disciplinary framework that allows to consider cross-sectoral effects. However, challenges exist to its implementation in practice. The most commonly used ES models do not consider interactions among ESs. This restricts their capacity to account for cross-sectoral effects. Integrating ESs into IA also increases time investments as they cover a wide variety of disciplines and need detailed information. This paper presents a pragmatic approach that tackles these challenges and may facilitate the inclusion of ESs into IA. The approach focuses on ecosystem processes as the driver of ESs and biodiversity and the basis to evaluate effects of a project. Using the Belgian coastal ecosystem, we illustrate how the approach restricts data needs by identifying the priority ESs, how it improves the coverage of cross-sectoral effects in IA, and how it contributes to a more objective selection of impacts.

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