Two constructed wetlands within a Mediterranean natural park immersed in an agrolandscape reduce most heavy metal water concentrations and dampen the majority of pesticide presence

Rodrigo, María A.; Puche, Eric; Carabal, Nuria; Armenta, Sergio; Esteve‐Turrillas, Francesc A.; Jiménez, Javier; Portilla, Fernando de la

doi:10.1007/s11356-022-21365-w

Cited by 7 publications

(4 citation statements)

References 73 publications

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“…We selected three active substances (Table 2) that are regularly applied by farmers in the rice paddies of the Albufera Natural Park. The insecticide acetamiprid, the fungicide azoxystrobin, and the herbicide MCPA were selected to show the applicability and integration of different pesticides types into the approach developed previously by Calvo et al (2021) and Rodrigo et al (2022). Acetamiprid and azoxystrobin are usually applied at the beginning of July, whereas azoxystrobin is applied at the end of July and the beginning of August (Martínez-Megías et al, 2023).…”

Section: Exposure Prediction With Ricewq-prediction and Settingsmentioning

confidence: 99%

Using a Bayesian Network Model to Predict Risk of Pesticides on Aquatic Community Endpoints in a Rice Field—A Southern European Case Study

Mentzel,

Martínez‐Megías,

Grung

et al. 2023

Enviro Toxic and Chemistry

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Bayesian network (BN) models are increasingly used as tools to support probabilistic environmental risk assessments (ERA), as they can better account for uncertainty compared to the simpler approaches commonly used in traditional ERA. We used BNs as meta‐models to link various sources of information in a probabilistic framework, to predict the risk of pesticides to aquatic communities under given scenarios. The research focused on rice fields surrounding a Spanish Natural Park Albufera, considering three selected pesticides: acetamiprid (insecticide), MCPA (herbicide), and azoxystrobin (fungicide). The developed BN linked the inputs and outputs of two pesticide models: a process‐based exposure model (RICEWQ), and probabilistic effects model (PERPEST) using case‐based reasoning with data from microcosm and mesocosm experiments. The model characterised risk at three levels in a hierarchy: biological endpoints (e.g., molluscs, zooplankton, insects, etc.), endpoint groups (plants, invertebrates, vertebrates, and community processes), and community. The pesticide risk to a biological endpoint was characterised as the probability of an effect for a given pesticide concentration interval. The risk to an endpoint group was calculated as the joint probability of effect on any of the endpoints in the group. Likewise, community‐level risk was calculated as the joint probability of any of the endpoint groups being affected. This approach enabled comparison of risk to endpoint groups across different pesticide types. For example, in a scenario for year 2050, the predicted risk of the insecticide to the community (40% probability of effect) was dominated by the risk to invertebrates (36% risk). In contrast, herbicide‐related risk to the community (63%) was resulting from risk to both plants (35%) and invertebrates (38%); the latter might here represent indirect effects of toxicity through the food chain. This novel approach combines the quantification of spatial variability of exposure with probabilistic risk prediction for different components of aquatic ecosystems.

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Section: Exposure Prediction With Ricewq-prediction and Settingsmentioning

confidence: 99%

Using a Bayesian Network Model to Predict Risk of Pesticides on Aquatic Community Endpoints in a Rice Field—A Southern European Case Study

Mentzel,

Martínez‐Megías,

Grung

et al. 2023

Enviro Toxic and Chemistry

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“…Additional risk reduction measures, such as the replacement of highly hazardous substances, the incorporation of integrated pest management practices or the construction of constructed wetlands can limit pesticide emissions to surrounding water bodies (Alexoaei et al, 2022;Martín et al, 2020;Pavlidis & Karasali, 2020;Silva et al, 2022). A recent study by Rodrigo et al (2022) shows that two constructed wetlands located next to rice production areas can reduce metal loads and the number of pesticides entering the Albufera Lake. Further studies should be developed to calculate pesticide transport in the drainage ditches of the ANP and potential risks for aquatic communities in the Albufera Lake under different weather and pesticide management scenarios.…”

Section: Implications For Risk Assessment and Way Forwardmentioning

confidence: 99%

A Bayesian network approach to assess the influence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland

Martínez‐Megías

Mentzel

Fuentes-Edfuf

et al. 2022

Preprint

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Pollution by agricultural pesticides is one of the most important pressures affecting Mediterranean coastal wetlands. Pesticide risks are expected to be influenced by climate change, which will result in an increase of temperatures and a decrease in annual precipitation rates in this region. On the other hand, pesticide dosages are expected to change given the increase in pest resistance and the implementation of environmental policies like the European Farm-to-Fork strategy, which aims for a 50% reduction in pesticide usage by 2030. The influence of climate change and pesticide use practices on the ecological risks of pesticides needs to be evaluated making use of realistic environmental scenarios. This study aimed to assess how different climate change and pesticide use practices affect the ecological risks of pesticides in the Albufera Natural Park (Valencia, Spain), a protected Mediterranean coastal wetland. We performed a probabilistic risk assessment for nine pesticides applied in rice production using scenarios comprised of three climatic regimes (the 2008 record, and projections for 2050 and 2100), three pesticide application regimes (the recommended dose, and 50% increase and 50% decrease), and their combinations. The scenarios were used to simulate pesticide exposure concentrations in the water column of the rice paddies using the RICEWQ model. Pesticide effects were characterized using acute and chronic Species Sensitivity Distributions built with laboratory toxicity data for aquatic organisms. Risk quotients were calculated as probability distributions making use of a Bayesian network approach, and best fitting distributions for the calculated exposure data and the SSDs. Our results show that future climate projections will influence exposure concentrations for some of the studied pesticides, yielding higher dissipation and lower exposure in scenarios dominated by an increase of temperatures, and higher exposure for scenarios in which heavy precipitation events occur after pesticide application. Our case study shows that pesticides such as azoxystrobin, difenoconazole and MCPA are posing high ecological risks for aquatic organisms, and that the implementation of the Farm-to-Fork strategy is crucial to reduce them, although will need additional measures to eliminate them.

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“…promoting biodiversity, improving water quality, contributing to flooding protection, etc.). Two of these services are considered crucial: the maintenance and enhancement of biological diversity (Zhang et al, 2020) and the improvement in the quality of the received water through the removal of suspended material, microalgae (mainly those potentially toxic), nutrients and hazardous substances (Rodrigo et al, 2013a(Rodrigo et al, , 2022Land et al, 2016;Jamion et al, 2022). This is of special relevance when the CWs are acting as intermediaries between low-quality waters and protected wetlands, the latter being the receptor system (Kadlec & Wallace, 2008).…”

Section: Introductionmentioning

confidence: 99%

How the diversity of constructed wetlands improves the plankton communities discharged into a protected Mediterranean wetland

Carabal,

Segura,

Puche

et al. 2023

Hydrobiologia

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The effectiveness of constructed wetlands (CWs) created to improve water quality has been demonstrated. However, their role in enhancing biodiversity, such as in plankton communities, is still understudied. To assess this, we analysed, over two years, the plankton of three structurally different CWs which are intermediaries between low-quality waters and a protected Mediterranean wetland (Albufera de València Natural Park). We estimated the alpha-diversity of each CW and the beta-diversity among their different sectors. In two CWs, the diversity decreased as water flowed from the Inlet (a species mix from anthropically disturbed environments) to the Outlet, due to natural assembly processes. In the other CW, as it received water dominated by a few species, the emerging assemblages increased the diversity. Moreover, comparing the three CWs, the most divergent communities were those in the outlets (due to the emergence of exclusive species, biovolume differences, etc.). Therefore, they contributed to beta-diversity as they acted as generators of communities, which were characterized by the loss of cyanobacteria and chlorophytes, the dominance of large copepods or cladocerans and the presence of unshared species. We emphasize the importance of having structurally and functionally different CWs to enhance biodiversity and improve biological water quality in natural parks.

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Two constructed wetlands within a Mediterranean natural park immersed in an agrolandscape reduce most heavy metal water concentrations and dampen the majority of pesticide presence

Cited by 7 publications

References 73 publications

Using a Bayesian Network Model to Predict Risk of Pesticides on Aquatic Community Endpoints in a Rice Field—A Southern European Case Study

Using a Bayesian Network Model to Predict Risk of Pesticides on Aquatic Community Endpoints in a Rice Field—A Southern European Case Study

A Bayesian network approach to assess the influence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland

How the diversity of constructed wetlands improves the plankton communities discharged into a protected Mediterranean wetland

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