Climate change and cheese quality: the pivotal role of grass feeding
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-May-2025 23:09 ET (11-May-2025 03:09 GMT/UTC)
How do adaptation strategies implemented by dairy farmers to cope with drought affect milk and cheese quality? Researchers from INRAE and VetAgro Sup conducted a trial on an experimental farm in the French Massif Central to assess the effects of decreasing/increasing the amount of grass/corn silage fed to dairy cows on the quality of Cantal-type cheeses. Results published in the Journal of Dairy Science show the importance of maintaining a minimum of fresh grass in dairy cow rations to preserve cheese quality.
Summary:
Researchers developed an AI tool called ulrb to identify rare microbes, significantly improving biodiversity assessments and ecological research.
The open-source software, created through international collaboration, is versatile and applicable to both microbial and non-microbial data, enhancing studies on climate change and ecosystem health.
Could the artificial introduction of oxygen revitalise dying coastal waters? While oxygenation approaches have already been proven successful in lakes, their potential side effects must be carefully analysed before they can be used in the sea. This is the conclusion of researchers from GEOMAR Helmholtz Centre for Ocean Research Kiel and Radboud University in the Netherlands. In an article in the scientific journal EOS, they warn: Technical measures can mitigate damage temporarily and locally, but they are associated with considerable uncertainties and risks. Above all, they do not offer a permanent solution because the oxygen content will return to its previous level once the measures end, unless the underlying causes of the problem, nutrient inputs and global warming, are not tackled.
EPFL atmospheric and climate scientists show that biological particles may induce rain events that could contribute to flooding and snowstorms, owing to their ability to precipitate ice formation in clouds. They call for an update of meteorological and climate models.
The goal of this study was to determine the contribution of anthropogenic climate change to wildfire smoke PM2.5 mortality on a county-level across the continental United States from 2006 through 2020. Climate change contributed to approximately 15,000 wildfire particulate matter deaths over 15 years with interannual variability ranging from 130 (95% confidence interval: 64, 190) to 5100 (95% confidence interval: 2500, 7500) deaths and a cumulative economic burden of $160 billion. Approximately 34% of the additional deaths attributable to climate change occurred in 2020, costing $58 billion. The economic burden was highest in California, Oregon, and Washington. This highlights the substantial impacts on nature that result in human deaths from failure to reduce greenhouse gas emissions. In a scenario without climate change contributing to wildfire smoke PM2.5, tens of thousands of deaths could be avoided and billions of dollars saved every year.
Researchers from the Institute for Environmental Sciences (IVM) at Vrije Universiteit Amsterdam have developed DYNAMO-M, a cutting-edge global agent-based model that simulates how 13 million farming households in coastal regions worldwide will respond to the escalating threats of coastal flooding and saltwater intrusion caused by sea level rise (SLR). Presented at the EGU General Assembly 2025 in Vienna, DYNAMO-M utilizes discounted expected utility (DEU) theory to model human decision-making, simulating the choices farmers might face: stay and absorb losses, adapt by using salt-tolerant crops and elevated homes, or migrate inland.
The model tracks these decisions year by year, spanning from 2020 to 2080, and covers 23 major food crops in flood-prone regions globally. It identifies critical migration hotspots and potential shifts in land use, especially in vulnerable coastal areas like Florida, New York, Japan, China, the Philippines, and Italy. Furthermore, DYNAMO-M highlights the vulnerability of regions located in 1 in 100-year floodplains, which are at heightened risk due to rising seas.
In addition to predicting displacement, the model evaluates the impact of various interventions, including insurance schemes and government policies. Findings show that small subsidies and strategic support can significantly enhance adaptive capacity, reducing the need for migration and allowing affected communities to remain resilient despite rising seas.
This research pushes the boundaries of climate risk modeling by offering actionable insights into how farming communities can adapt to climate change and continue to thrive. DYNAMO-M provides valuable tools for policymakers, insurers, and global development agencies working to support coastal agricultural communities. The study demonstrates the urgency of addressing climate-induced risks and the importance of proactive, sustainable solutions. For more information, visit www.coastmove.org.
The American Geophysical Union (AGU) and the American Meteorological Society (AMS) invite manuscripts for a new, first-of-its-kind, special collection focused on climate change in the United States. This effort aims to sustain the momentum of the sixth National Climate Assessment (NCA), the authors and staff of which were dismissed earlier this week by the Trump Administration. The new special collection does not replace the NCA but instead creates a mechanism for this important work to continue.
New findings challenge assumptions about species’ ability to persist under climate change. Following a nine-year study of over 100,000 individual Drummond's rockcress plants – a common plant found in mountains across North America – researchers reveal that climate change is outpacing natural gene flow, threatening population survival even within a broadly distributed plant species’ native range. The findings highlight the potential role of assisted gene flow in plant conservation. Climate change is rapidly altering where species can survive and thrive. While many plant and animal species span broad geographic areas, their populations are often finely tuned to the specific climate of their local environments. This local adaptation means each population may tolerate only a narrow slice of the climate conditions the full species can endure. Evolutionary processes, including genetic variation, rapid adaptation, and gene flow, have the potential to dramatically alter population persistence under climate change – a process known as evolutionary rescue. However, these factors are rarely integrated into ecological models that predict how species will respond to climate change.
Using Drummond's rockcress (Boechera stricta), a widely-distributed, short-lived mountain plant in the mustard family, Jill Anderson and colleagues investigated how plants may adapt – or not – to a rapidly changing climate. In a nine-year-long field experiment in Colorado, Anderson et al. planted more than 102,000 individual plants across a range of elevations and manipulated snowpack to mimic climate variation. By integrating the genomic and fitness data into evolutionary demographic models under preindustrial, current, and projected climates, the authors found that climate change increases extinction risk for locally adapted populations by eroding their genetic advantages and outpacing natural gene flow. This was true across all elevations and not just at the warmest range edges. According to the findings, the direction of gene flow in adapting species is crucial. For example, in some mountain species, gene flow predominantly moves downhill, which may hinder the ability of populations to adapt to warming conditions at higher elevations. Compounding this challenge, the pace of climate change is outstripping the capacity of many species to shift their ranges upslope. Anderson et al. note that assisted gene flow – deliberately moving pre-adapted individuals to new locations – could help maintain genetic diversity and species persistence but must be carefully managed. “The lessons from Anderson et al. are sobering with respect to the ability of natural populations to adapt to, and persist under, rapid global warming,” writes Sally Aitkin in a related Perspective. “Although the capacity for persistence will vary among species and with life history traits, populations cannot persist simply because their locations remain within the overall range of climatic tolerances for that species as a whole.”