Journal
WATER
Volume 13, Issue 14, Pages -Publisher
MDPI
DOI: 10.3390/w13141898
Keywords
transitional waters; foraminifera; anthropogenic stress; pollution; biomonitoring; EcoQS; ecosystem recovery; environmental DNA; reference conditions
Categories
Funding
- University of Gothenburg
- Wahlstroms Foundation
- Agence de l'Eau Artois-Picardie
- Agence de l'eau Seine-Normandie (Foram-INDIC project)
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Transitional waters serve as the interface between marine and terrestrial biomes, facing extensive anthropogenic exploitation. Assessing ecological quality status (EcoQS) in these ecosystems is challenging due to high natural variability and lack of pre-human impact information. Foraminifera can be used as environmental sentinels to provide ecological data for EcoQS assessment, correlating with environmental stressors and macrofaunal-based indices, while challenges such as disparate index performance and threshold value assignment remain. Genetic biomonitoring shows potential to enhance EcoQS assessment accuracy in transitional environments.
Transitional waters straddle the interface between marine and terrestrial biomes and, among others, include fjords, bays, lagoons, and estuaries. These coastal systems are essential for transport and manufacturing industries and suffer extensive anthropogenic exploitation of their ecosystem services for aquaculture and recreational activities. These activities can have negative effects on the local biota, necessitating investigation and regulation. As a result of this, EcoQS (ecological quality status) assessment has garnered great attention as an essential aspect of governmental bodies' legislative decision-making process. Assessing EcoQS in transitional water ecosystems is problematic because these systems experience high natural variability and organic enrichment and often lack information about their pre-human impact, baseline, or pristine reference conditions, knowledge of which is essential to many commonly used assessment methods. Here, foraminifera can be used as environmental sentinels, providing ecological data such as diversity and sensitivity, which can be used as the basis for EcoQS assessment indices. Fossil shells of foraminifera can also provide a temporal aspect to ecosystem assessment, making it possible to obtain reference conditions from the study site itself. These foraminifera-based indices have been shown to correlate not only with various environmental stressors but also with the most common macrofaunal-based indices currently employed by bodies such as the Water Framework Directive (WFD). In this review, we firstly discuss the development of various foraminifera-based indices and address the challenge of how best to implement these synergistically to understand and regulate human environmental impact, particularly in transitional waters, which have historically suffered disproportionate levels of human impact or are difficult to assess with standard EcoQS methods. Further, we present some case studies to exemplify key issues and discuss potential solutions for those. Such key issues include, for example, the disparate performance of multiple indices applied to the same site and a proper assignment of EcoQS class boundaries (threshold values) for each index. Disparate aptitudes of indices to specific geomorphologic and hydrological regimes can be leveraged via the development of a site characteristics catalogue, which would enable the identification of the most appropriate index to apply, and the integration of multiple indices resulting in more representative EcoQS assessment in heterogenous transitional environments. In addition, the difficulty in assigning threshold values to systems without analogous unimpacted reference sites (a common issue among many transitional waters) can be overcome by recording EcoQS as an ecological quality ratio (EQR). Lastly, we evaluate the current status and future potential of an emerging field, genetic biomonitoring, focusing on how these new techniques can be used to increase the accuracy of EcoQS assessment in transitional systems by supplementing more established morphology-based methods.
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