Preface: Wetlands biodiversity and processes—tools for conservation and management

Viaroli, Pierluigi; Bartoli, Marco; Vymazal, Jan

doi:10.1007/s10750-016-2793-8

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…Small wetlands are often under-investigated biodiversity hotspots that should be instead considered with great attention under a conservation perspective (Viaroli et al, 2016). Particularly, the permanent ponds system of Bosco della Mesola hosts a high number of taxa (39) if compared with ponds surrounded by other land use types.…”

Section: Discussionmentioning

confidence: 99%

Structural and functional responses of macroinvertebrate communities in small wetlands of the Po delta with different and variable salinity levels

Muresan

Gaglio

Aschonitis³

et al. 2020

Estuarine, Coastal and Shelf Science

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Section: Discussionmentioning

confidence: 99%

Structural and functional responses of macroinvertebrate communities in small wetlands of the Po delta with different and variable salinity levels

Muresan

Gaglio

Aschonitis³

et al. 2020

Estuarine, Coastal and Shelf Science

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“…The ecological functions fulfilled by brackish lagoons and their biotic communities are intimately interrelated [10,11] and governed by complex relationships that involve environmental changes naturally occurring in transitional ecosystems. Additionally, transitional ecosystems are site of many human activities, such as fishing, aquaculture, tourism Water 2021, 13, 679 2 of 10 and related indirect impacts (e.g., pollution and alien species introduction).…”

Section: Introductionmentioning

confidence: 99%

Seasonal Variation of Functional Traits in the Fish Community in a Brackish Lagoon of the Po River Delta (Northern Italy)

Lanzoni

Gaglio

Gavioli

et al. 2021

Water

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Brackish lagoons are highly productive systems that support fishing and aquaculture activities with important revenue. At the same time, they function as fundamental habitats for the conservation of a number of species that use lagoons for reproduction and feeding. The present study aims at describing the seasonal structural and functional variations of fish communities in the Fattibello lagoon, a small but important nursery ground of the Po River delta (northern Italy), historically exploited for fishing. The fish community was sampled monthly over a six-years’ period (2009–2014). The results were normalized in catch per unit of effort (CPUE) and are expressed both as individual abundances (ind/CPUE) and biomass (g/CPUE). Higher biodiversity levels were observed in autumn, when both lagoon residents and marine species coexist, and summer, for individual abundances and biomass. Biomass was a better descriptor than individual abundance of the functional use of the lagoon. In autumn, the lagoon resident species increased significantly, while marine feeding ground species decreased. Vice versa, lagoon residents decreased in winter, when the lagoon were mainly used as feeding ground by marine fishes. Marine migrating species were present throughout the whole year. Overall, the lagoon serves as (i) reproduction habitats for different species, as well as habitat for the pre-reproductive period for the European anchovy; (ii) nursery grounds for a number of commercial species; and (iii) habitats for lagoon resident species, supporting them for the whole life cycle. Overall, the results highlight the fundamental conservation role of the lagoon throughout the whole year, and that seasonal structural and functional patterns of fish communities should be carefully considered when seeking to harmonize direct uses, such as fishing and bivalve farming, as well as nature conservation.

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“…Therefore, wetlands play an important role in nutrient retention and the purification of water while flowing through these ecosystems [2,3]. These ecosystems are more significant in ecological rejuvenation and contribute significantly to the conservation of biodiversity [4]. Therefore, it is a significant productive component of the environment [5].…”

Section: Introductionmentioning

confidence: 99%

Wetland Water-Level Prediction in the Context of Machine-Learning Techniques: Where Do We Stand?

et al. 2023

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Wetlands are simply areas that are fully or partially saturated with water. Not much attention has been given to wetlands in the past, due to the unawareness of their value to the general public. However, wetlands have numerous hydrological, ecological, and social values. They play an important role in interactions among soil, water, plants, and animals. The rich biodiversity in the vicinity of wetlands makes them invaluable. Therefore, the conservation of wetlands is highly important in today’s world. Many anthropogenic activities damage wetlands. Climate change has adversely impacted wetlands and their biodiversity. The shrinking of wetland areas and reducing wetland water levels can therefore be frequently seen. However, the opposite can be seen during stormy seasons. Since wetlands have permissible water levels, the prediction of wetland water levels is important. Flooding and many other severe environmental damage can happen when these water levels are exceeded. Therefore, the prediction of wetland water level is an important task to identify potential environmental damage. However, the monitoring of water levels in wetlands all over the world has been limited due to many difficulties. A Scopus-based search and a bibliometric analysis showcased the limited research work that has been carried out in the prediction of wetland water level using machine-learning techniques. Therefore, there is a clear need to assess what is available in the literature and then present it in a comprehensive review. Therefore, this review paper focuses on the state of the art of water-level prediction techniques of wetlands using machine-learning techniques. Nonlinear climatic parameters such as precipitation, evaporation, and inflows are some of the main factors deciding water levels; therefore, identifying the relationships between these parameters is complex. Therefore, machine-learning techniques are widely used to present nonlinear relationships and to predict water levels. The state-of-the-art literature summarizes that artificial neural networks (ANNs) are some of the most effective tools in wetland water-level prediction. This review can be effectively used in any future research work on wetland water-level prediction.

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Preface: Wetlands biodiversity and processes—tools for conservation and management

Cited by 9 publications

References 26 publications

Structural and functional responses of macroinvertebrate communities in small wetlands of the Po delta with different and variable salinity levels

Structural and functional responses of macroinvertebrate communities in small wetlands of the Po delta with different and variable salinity levels

Seasonal Variation of Functional Traits in the Fish Community in a Brackish Lagoon of the Po River Delta (Northern Italy)

Wetland Water-Level Prediction in the Context of Machine-Learning Techniques: Where Do We Stand?

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