Wednesday, March 12, 2025

 

Landscape scale pesticide pollution detected in the Upper Rhine region, from agricultural lowlands to remote areas





Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Pesticide pollution in the cultural landscape 

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Pesticides do not remain where they are applied – through various pathways, residues end up in meadows, forests and water bodies, even in areas far from agriculture. This poses a risk to the environment and biodiversity. 

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Credit: RPTU, Ulrike Eberius - multimedia-atelier.de





A recent study by the RPTU University Kaiserslautern-Landau shows extensive pesticide contamination in the landscape of the Upper Rhine Region. The research team led by Carsten Brühl shows for the first time that synthetic chemical pesticides from conventional agriculture do not remain on the cultivated areas, but spread from the lowlands to the Black Forest and the Palatinate Forest. The results show that the entire landscape is contaminated with pesticide mixtures, shedding new light on the potential environmental impacts of conventional agriculture. According to the researchers, pesticide use must be reduced urgently in order to protect areas around fields, orchards and vineyards.

The study, published in Communications Earth & Environment, covers the Upper Rhine Valley in Germany. The area, which extends for about 300 kilometers between Bingen and Basel, is a traditional agricultural landscape where, in addition to cereals, also vegetables, wine and fruit are grown due to favourable climatic conditions. Since the 1970s, synthetic chemical pesticides have been used extensively in conventional agriculture to control pests, weeds and fungal diseases. This often involves combining different active ingredients and multiple applications per year. As a consequence of these large-scale applications, so-called non-target areas – i.e. areas that are not directly sprayed, such as adjacent hedges, field margins, meadows or dry grasslands – are increasingly suffering from chronic pesticide contamination.

Environmental sampling over a 180-kilometer stretch

The research team carried out extensive sampling during the spraying season in June and July 2022: Along six 30-kilometer-long transects – defined measurement paths that ran from remote areas in the mountain ranges of the Palatinate Forest and the Black Forest to the Upper Rhine Valley – topsoil, vegetation, streams and puddles were sampled at 78 locations. The systematic recording and presentation of pesticides on such a large scale is a new approach developed at the Institute for Environmental Sciences in Landau. With the help of state-of-the-art analytical techniques that can detect even low concentrations, the study included 93 common pesticides.

Contamination from the lowlands to the highlands

The research team detected a total of 63 pesticides, and almost all of the measurement sites were contaminated. Residues were found in 97 percent of the soil and vegetation samples, often in complex mixtures of several active ingredients. According to the researchers, it is particularly worrying that even remote areas are not free of pesticides. The active ingredients were also detected several hundred meters from agricultural land. On average, five pesticides were measured in topsoil, with individual samples showing up to 26 different active ingredients. On average, the vegetation was contaminated with six pesticides, and in some cases with as many as 21 substances. “Our results are clear: pesticides spread far beyond fields. This is more than just an agricultural problem – it is a reality that affects us all. We can encounter pesticides while taking a walk, in playgrounds or in our own gardens,” explains Ken Mauser, lead author of the study. People at particular risk include those with direct contact with pesticides, such as farmers themselves, as well as sensitive groups such as children, pregnant women and the elderly. Just recently, “parkinsons caused by pesticides” was recognized as an occupational disease in viticulture in Germany. One of the most frequently found pesticides was the fungicide fluopyram, which was detected in over 90 percent of all samples. Fluopyram is classified as a PFAS, a so-called “forever chemical”, and the breakdown products can contaminate groundwater. According to the environmental scientists, the widespread distribution of the fungicide in the landscape seems extremely worrying due to its potential contamination of drinking water resources.

“Cocktail effect” danger from pesticide mixtures

The study shows that pesticides were often not found individually but rather as mixtures of multiple pesticides. A total of 140 different combinations of at least two active ingredients were detected. “Pesticide cocktails are particularly problematic because interactions can occur and effects can be amplified. In the current authorization procedure, each pesticide is assessed individually. This is not enough to grasp the complex risks of the realistic exposure to mixtures,” emphasizes ecotoxicologist Carsten Brühl. ”Colleagues from Heidelberg were able to show that pesticide mixtures in similar concentrations to those detected in this study reduce the egg laying of insects by over 50 percent in the laboratory. It can therefore be assumed that these mixtures definitely have an impact on the environment, especially if they are also present chronically, i.e. throughout the year, as we were able to show in another study."

Landscape modeling – pesticide dispersal and protected areas

A key component of the study was the modeling of pesticide contamination in the landscape. Using detailed geostatistical analyses, the researchers predicted the distribution of pesticide residues throughout the study area. The prediction maps show that the contamination extends beyond the sprayed areas and that even remote areas are not protected from pesticide contamination. According to the model, intensively used wine-growing regions such as the Southern Palatinate and the Kaiserstuhl are contaminated by 10 to 20 pesticides in the soil and vegetation. The areas outside the agricultural area, such as flower strips, hedges, adjacent grassland, but also designated nature reserves or national parks, are considered to be refuges for protected animal and plant species. However, the study shows that such areas in the agricultural landscape and even the remote mountain range of the Black Forest National Park or the Palatinate Forest-North Vosges UNESCO Biosphere Reserve are contaminated. A total of four different pesticides were detected in the Black Forest National Park, and three substances were also found on the Feldberg (1,494 meters a.s.l.). In their modeling, the researchers also made calculations for the “Kleine Kalmit”, a nature conservation area near Landau in the Palatinate. Up to 15 different pesticides were predicted in the soil and vegetation – a finding that was confirmed by measurements of a previous study. Pesticide contamination thus not only endangers protected species, but also undermines efforts to protect biodiversity. “Protected areas near conventional agriculture show increased pesticide contamination. Sustainable and pesticide-free managed fields in adjacent areas could serve as a buffer zone and help to reduce the pesticide contamination of the reserves,” explains Ken Mauser.

Pesticide reduction urgently needed

The study shows that pesticides do not only remain on agricultural land, but contaminate the entire landscape. In particular, the “cocktail effect” and the contamination of protected areas are worrying, according to the researchers. In view of their findings, the scientists call for a strict reduction in pesticide use to protect people and the environment, as well as monitoring of pesticide contamination in landscapes. This is also in line with the goals of the COP 15 United Nations Biodiversity Conference, which aims to halve global pesticide use by 2030. “Our approach of using landscape modeling to assess pesticide pollution can serve as a basis for future evaluations of the reduction efforts,” notes Carsten Brühl.

In addition, large-scale pilot projects are needed to create pesticide-free cultural landscapes on a scale of 10 x 10 kilometers. According to the researchers, this is the only way to truly measure the positive effects of sustainable farming systems on biodiversity. Currently, pesticide-free agriculture, even when established in small areas, has no chance of realizing its potential in a landscape contaminated by pesticides. “Now it is up to politicians to develop and promote large-scale and effective pesticide-free approaches and to resolutely push ahead with the transformation to sustainable agriculture”.

 

The study:

Ken M. Mauser, Jakob Wolfram, Jürg Spaak, Carolina Honert & Carsten A. Brühl 2025 Current-use pesticides in vegetation, topsoil and water reveal contaminated landscapes of the Upper Rhine Valley, Germany. Communications Earth & Environment. https://www.nature.com/articles/s43247-025-02118-2

 

Further study mentioned in the press release:

Carolina Honert, Ken Mauser, Ursel Jäger, Carsten A. Brühl. 2025. Exposure of insects to current use pesticide residues in soil and vegetation along spatial and temporal distribution in agricultural sites. Scientific Reports. https://doi.org/10.1038/s41598-024-84811-4


We will be happy to send you a high-resolution file of the infographic on request: kerstin.theilmann@rptu.de

 

iES, Institute for Environmental Sciences, RPTU University Kaiserslautern-Landau:
The Institute of Environmental Sciences iES conducts basic and application-oriented research focusing on the diverse interactions between humans and the environment. The institute combines the expertise of 15 interdisciplinary working groups and thus current research from molecules to ecosystems to human society. The iES Institute of Environmental Sciences is based at the RPTU University of Kaiserslautern-Landau. The University in Landau and the Technical University of Kaiserslautern have formed the RPTU together since January 1, 2023. Further information: nuw.rptu.de/institute/ies.

Wine-growing landscape in the southern Palatinate with meadows and chestnut forests at the Haardtrand of the Palatinate Forest. 

Credit

Carsten Brühl

 

Pesticides are deposited on vegetation and in the topsoil outside of cultivated areas. This pollutes plants and animals. 

Credit

RPTU, Ulrike Eberius - multimedia-atelier.de


First national perception survey of Food is Medicine programs shows strong public support


Researchers find majority of Americans surveyed, especially those affected by food and nutrition insecurity, would be interested in food-based nutrition interventions




 News Release 
Tufts University

First national perception survey of Food is Medicine programs shows strong public support 

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“This study affirms that the public understands the importance of food in their health, but they don't always have means to access the food they want," said first author Ronit Ridberg, a research assistant professor at the Friedman School.

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Credit: Alonso Nichols/Tufts University





Researchers have conducted the first national survey on public awareness and perceptions of food, health, and Food is Medicine programs. A team at the Food is Medicine Institute at the Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University found that nearly 90 percent of Americans surveyed agreed that eating healthy foods is important for preventing conditions like obesity, high blood pressure, and type-2 diabetes.  

The results, published March 12 in the journal Health Affairs, revealed that while under 30% have heard of the Food is Medicine movement, more than half would try a produce prescription, medically tailored grocery, or medically tailored meal program, if offered through their health care providers. Among those with food and nutrition insecurity, interest in participating rises to nearly 70%. 

Additionally, more than two-thirds of those surveyed felt that government programs like Medicare and Medicaid should cover Food is Medicine initiatives, while about half of the participants said that private insurance should also pay. The 24-question survey was completed from February through April 2023 by over 3,000 adults, representing U.S. demographics across sex, race, insurance coverage, household income, education, and health status.  

“This study affirms that the public understands the importance of food in their health, but they don't always have means to access the food they want," said first author Ronit Ridberg, a research assistant professor at the Friedman School. "We were struck by the disconnect we found in clinical settings. Only a quarter of respondents reported that their primary care provider had asked if they had enough food to eat, and fewer than half had conversations about diet during their clinical encounters." 

The common experiences reflected in the surveys are likely due to health care providers not having received nutrition education during their training as well as being burdened for time to get through many topics in a single appointment, said Ridberg. In her conversations with doctors and nurses, she has heard that they can feel uncomfortable asking about food and nutrition insecurity and often don’t know the right resources to give patients.  

Based on the survey, about half of Americans would be more likely to make positive dietary changes if they had regular conversations about their habits with care providers. Over 80% of respondents agreed they would take steps to eat healthier if they knew it would help them feel better, treat a health condition, or reduce their risk for future disease. But many people are facing financial barriers, with 83% of those surveyed reporting the cost of healthy food as the most frequent barrier to its consumption, and over 50% believing that health care should help reimburse or provide for some healthy food. 

After cost, the most common reported hurdles to healthy eating included family traditions that center around unhealthy foods (79%), a lack of healthy options where people go shopping (57%), stores or food pantries that sell healthy foods are too far away (56%), and not knowing what foods are considered healthy (48%). 

“There’s a misconception that many people don’t want to eat nourishing foods, or that they prefer unhealthy products—but our new results highlight that most Americans want to eat better but face specific barriers and challenges,” said Dariush Mozaffarian, senior author on the paper and director of the Food is Medicine Institute at the Friedman School. “Our research shows that there is demand for food-based therapies as part of health care, providing valuable information for state and federal policymakers to build momentum toward more holistic, cost-effective care.”

The researchers are participating in the 2nd Annual Food is Medicine Advocacy Day on Capitol Hill to talk with House and Senate leaders about strengthening the infrastructure for Food is Medicine programs. This could include, for example, increasing nutrition-related training for doctors, supporting cutting-edge research on Food is Medicine at the National Institutes of Health, and expanding programs and coverage through Medicare, Medicaid, and the U.S. Department of Veterans Affairs.  

Research reported in this article was supported by the Kaiser Permanente East Bay Community Fund and included authors from Harvard University, in addition to authors from the Friedman School. Complete information on authors, methodology, limitations and conflicts of interest is available in the published paper. 

The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. 
 

 

USPSTF statement on screening for food insecurity





JAMA Network





Bottom Line:

 The U.S. Preventive Services Task Force (USPSTF) concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening for food insecurity on health outcomes in the primary care setting.

 According to survey data, 12.8% of households experienced food insecurity in 2022, with 7.7% of households experiencing low food security and 5.1% experiencing very low food security. 

Nearly one-third of households with incomes below the federal poverty threshold are food insecure. 

Food insecurity is one among a multitude of medical, psychological, and social conditions common among economically disadvantaged households. 

The USPSTF routinely makes recommendations about the effectiveness of preventive care services. This is a new USPSTF topic.



To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jama.2025.0879)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.

Note: More information about the U.S. Preventive Services Task Force, its process, and its recommendations can be found on the newsroom page of its website.

#  #  #

Media advisory: To contact the U.S. Preventive Services Task Force, email the Media Coordinator at Newsroom@USPSTF.net or call 301-951-9203. The full report and related articles are linked to this news release.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time and all USPSTF articles remain free indefinitely https://jamanetwork.com/journals/jama/fullarticle/10.1001/jama.2025.0879?guestAccessKey=756929f4-9b8e-4200-a23e-8220ebdcee47&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=031125

Rising CO2 levels: Impacts on crop nutrition and global food supplies





Higher Education Press

A schematic diagram outlining a generalized functional response by C3 plant species to elevated CO2. 

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A schematic diagram outlining a generalized functional response by C3 plant species to elevated CO2.

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Credit: Felix D. Dakora et al.





A recent study published in Engineering delves into the complex impacts of elevated CO2 levels on food security, plant growth, and crop quality. As the global atmospheric CO2 concentration continues to rise, understanding these effects is crucial for ensuring future food supplies.

On one hand, elevated CO2 can have some positive effects on plants. For C3 plants, it can stimulate photosynthesis, leading to increased dry matter yield and grain production. In legumes, it enhances N2 fixation, which is beneficial for reducing reliance on chemical fertilizers. Additionally, it can increase the water-use efficiency of plants by reducing stomatal conductance and transpiration.

However, the study also highlights numerous negative consequences. Elevated CO2 has been shown to decrease the nitrogen content in C3 crop species and C3 woody vegetation. This reduction in nitrogen affects the synthesis of proteins and amino acids in plants. For example, wheat grain protein has been found to decrease by 7.4% under elevated CO2, and the amino acid contents in various plant organs also decline.

Mineral nutrient contents in grains are also impacted. In rice and maize, the concentrations of phosphorus, sulfur, iron, zinc, copper, and manganese decrease under high CO2 levels. Overall, tissue mineral concentrations in C3 plants are predicted to drop by 8% while total non-structural carbohydrates increase.

These changes in crop composition pose significant threats to global food security. The decrease in grain protein, amino acids, and mineral nutrients could lead to a doubling of protein-calorie malnutrition and micronutrient deficiency, especially in regions like Africa where soils are nutrient-poor. Moreover, the increase in non-structural carbohydrates in cereal crops may elevate the incidence of diabetes due to high-starch diets.

To mitigate these negative effects, the researchers suggest several strategies. Selecting crop genotypes with superior biofortification traits for breeding programs could help alleviate nutrient deficiency. Planting more trees, especially N2-fixing C3 species, can sequester CO2 and improve soil fertility. Shifting to a more pulse-based diet can reduce methane emissions from livestock and also benefit from the high N2-fixing ability of legumes.

The study also points out the need for further research. Future studies should focus on the physiological and molecular responses of C3 plants to elevated CO2, analyze the metabolites involved in plant growth under such conditions, and assess the ecological impacts. Additionally, the application of artificial intelligence in plant breeding can help develop crop varieties more resilient to climate change and with improved nutritional quality.

The paper “Exploring the Impacts of Elevated CO2 on Food Security: Nutrient Assimilation, Plant Growth, and Crop Quality,” authored by Felix D. Dakora, Huihui Li, Jun Zhao. Full text of the open access paper: https://doi.org/10.1016/j.eng.2024.12.018. For more information about the Engineering, follow us on X (https://twitter.com/EngineeringJrnl) & like us on Facebook (https://www.facebook.com/EngineeringJrnl).

Advances in regional-scale crop growth and associated process models



A comprehensive review highlights the classifications, main functions, and future directions of large-scale crop growth and associated process models in addressing food security and sustainability challenges





Science China Press

Distinguished features of different types of regional-scale crop growth and associated process models. 

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Categorization of regional-scale crop growth and associated process models, including statistical models, crop growth models, hydrology-crop coupling models, and ecosystem models.

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Credit: ©Science China Press




In an era of growing environmental uncertainties, ensuring food security while maintaining sustainable agricultural practices is a major global challenge. Regional-scale crop growth and associated process (CROP-AP) models have emerged as crucial tools for simulating agricultural productivity at watershed, national, and global scales. A new review, published in Science China Earth Sciences, provides a systematic analysis of these models, their classifications, functions, and future development directions.

The study categorizes CROP-AP models into four key types:

  • Statistical Models: These models are based on statistical methods and focus on establishing relationships between input and output variables. They are primarily application-oriented, requiring fewer input parameters and making them suitable for large-scale agricultural yield forecasting. However, they do not reveal the underlying mechanisms of how different processes affect crop growth.
  • Crop Growth Models: These models dynamically simulate crop growth, development, and yield formation, providing a more accurate representation of the relationship between crop growth and climate factors. They also allow the adjustment of growth processes through controlled factors such as fertilization, irrigation, and pesticide use. However, they require a large number of parameters and are computationally complex, limiting their extrapolation potential.
  • Hydrology-Crop Coupling Models: These models integrate hydrological and crop growth processes by coupling crop models with hydrological models, adding crop modules to hydrological models, or adding runoff and routing modules to crop models. They can capture interactions between hydrological and crop growth processes. However, the coupling of hydrological and crop growth modules faces challenges related to temporal and spatial scales.
  • Ecosystem Models: These models integrate large-scale biophysical, vegetation physiological, and ecological processes and can deeply depict crop phenology and dynamics. However, due to their larger spatial scale, they tend to simplify the dynamic factors related to crops.

The review highlights five major applications of these models:

  • Crop yield prediction: Crop growth models are valuable tools for predicting yield variations across different regions and time scales. These models not only estimate current-year crop yields but also project medium- and long-term yield trends by coupling with regional and global climate models, with various yield prediction methods and models at regional scales offering yield forecast information to government agencies.
  • Prediction of crop water requirements: Regional-scale CROP-AP models can accurately simulate crop water needs and provide insights into efficient water management. These models play a significant role in the development of water-saving agricultural practices, regional water planning, and the optimization of irrigation systems, optimizing irrigation strategies and improving resource efficiency.
  • Agricultural non-point source pollution: These models are essential tools for quantifying and managing non-point source pollution. They can simulate the effects of different agricultural practices on water quality at various spatial and temporal scales.
  • Greenhouse gas emissions: CROP-AP models can simulate greenhouse gas emissions and help identify mitigation strategies that reduce emissions while maintaining or increasing agricultural productivity.
  • Climate change impacts: By projecting how global warming will affect food production and resilience strategies, these models provide a scientific foundation for understanding and mitigating the effects of climate change.

Despite their advancements, CROP-AP models still face challenges, including uncertainties in model validation, limitations in simulating multi-scale interactions, and constraints in data accessibility. The study emphasizes future research priorities:

  • Conducting more extensive and rigorous model calibration and validation across broader areas.
  • Coupling multi-process simulations of hydrological processes, ecological processes, crop physiology, and human water use activities.
  • Strengthening research on scale transformation methods and their scalability.
  • Integrating multi-model simulations (coupling multiple crop models and coupling crop models with environmental models).
  • Sharing model code, input data, and verified data.
  • Combining Artificial Intelligence (AI) with crop models to improve simulation accuracy and efficiency.

These efforts will further strengthen the ability of regional-scale CROP-AP models to address complex issues in agricultural systems and support the sustainability of global food production.

 

Overview of the main functions of regional-scale crop growth and associated process models, including crop yield prediction, water consumption estimation, agricultural pollution analysis, greenhouse gas emission forecasting, and assessing climate change impacts and responses.

Credit

©Science China Press

See the article:

Liu W, Bai Y, Du T, Li M, Yang H, Chen S, Liang C, Kang S. 2025. Advances in regional-scale crop growth and associated process modeling. Science China Earth Sciences, 68(3): 669-684, https://doi.org/10.1007/s11430-024-1477-2