The research, led by Bryony K. Willcox and Simon G. Potts of the Centre for Agri-Environmental Research at the University of Reading, together with an international team spanning universities, farming organisations, conservation groups and industry, tackles one of the most stubborn problems in pollinator science. Scientists know that bees rarely face a single threat in isolation. A honeybee colony may simultaneously be exposed to a fungicide spray, carry a parasite load and struggle to find diverse forage in an intensively farmed landscape. These stressors can interact, sometimes amplifying each other’s harm in ways that single-factor studies fail to capture. But the evidence on exactly how these combinations play out, and which interventions work best against them, remains incomplete. Policymakers and farmers cannot wait for perfect data; they need practical guidance now.

To bridge that gap, the team turned to a structured expert elicitation technique known as a modified Delphi process. The Delphi method is a well-established tool for decision-making under uncertainty. It involves asking a panel of specialists to score options independently, then iterating through feedback rounds so that the group converges on the most defensible judgements. In this study, 21 experts with deep knowledge of bee health, agronomy, ecotoxicology and pollination ecology ranked 29 candidate response options across four case studies. Each case study represented a different combination of bee species and interacting stressors, covering the honeybee Apis mellifera, the buff-tailed bumblebee Bombus terrestris and the red mason bee Osmia bicornis, the three managed bee species most widely used in European crop pollination.

The experts assessed each response option along two distinct dimensions. The first was effectiveness: how well could the option mitigate pesticide exposure when it occurs in combination with either poor nutrition or an elevated parasite load? The second was feasibility: how realistic would it be to actually implement the option in real-world European agricultural landscapes, given economic, regulatory and practical constraints? Separating these two questions proved crucial. An intervention might be highly effective in principle but difficult to roll out in practice, or easy to implement but only modestly beneficial. By scoring both dimensions, the researchers could build a more nuanced picture of where effort and investment would deliver the greatest returns for bee health.

The results identified a clear set of perceived effective mitigation responses that could be prioritised to benefit multiple pollinator species facing different interacting stressors. Four options rose to the top: the creation of flower patches, rewarding farmers for pollinator-friendly practices, reducing the frequency of spray applications, and reducing spray drift. Each of these addresses a different facet of the multi-stressor problem. Flower patches boost the nutritional landscape, giving bees access to diverse pollen and nectar resources that can buffer the effects of other stressors. Rewarding farmers aligns economic incentives with pollinator protection, making bee-friendly management a viable business choice rather than a financial sacrifice. Reducing spray frequency directly cuts the number of pesticide exposure events a bee population experiences over a season, while reducing spray drift limits the spread of chemicals beyond the target field into hedgerows, wildflower strips and apiaries.

The technical logic behind these top-ranked options is compelling. Nutritional stress and pesticide exposure are known to interact: a bee that is well nourished may have greater capacity to detoxify agrochemicals, whereas a nutritionally compromised bee may be far more vulnerable to the same dose. By improving forage availability through flower patch creation, land managers can potentially reduce the lethality of unavoidable pesticide exposure. Similarly, spray drift reduction technologies and practices, such as buffer zones and precision application, reduce the spatial footprint of chemical exposure, protecting bees foraging beyond the treated crop. Reducing application frequency attacks the problem at its source, lowering the cumulative exposure burden that interacts with parasites and poor diet.

Perhaps the most policy-relevant finding of the study is the concept the authors call feasibility priorities. These are effective mitigation responses that, according to the expert panel, can only be implemented with additional targeted support. In other words, the science says these interventions would work, but farmers, beekeepers and land managers cannot deliver them without help, whether in the form of financial incentives, technical advice, regulatory backing or infrastructure. This distinction matters enormously for the design of agri-environment schemes and pollinator policies. Simply listing recommended practices is not enough; policymakers must identify which effective options are currently blocked by practical barriers and then design the support mechanisms needed to unblock them.

The study’s approach also represents a methodological contribution in its own right. By maximising the value of currently available evidence and combining it with structured expert knowledge, the researchers demonstrate a decision-support framework that can be applied even where empirical data on stressor interactions is incomplete. This is a realistic response to the pace of the pollinator crisis. Running factorial experiments on every possible combination of pesticide, pathogen and nutritional stressor across every managed bee species and cropping system would take decades. Structured elicitation allows the scientific community to distil what is already known, make transparent and auditable judgements about the remaining uncertainties, and provide actionable guidance in the meantime. The authors emphasise that this approach can provide evidence to support pollinator policy and management by bridging the current knowledge gap around the impacts of interacting stressors and how best to mitigate them.

The breadth of the expert panel lends the findings considerable weight. The 21 participants and co-authors included researchers from the University of Reading, the University of Cambridge, the University of Murcia, the University of Mons, Martin Luther University Halle-Wittenberg, Trinity College Dublin, the University of Bern and the University of Udine, alongside representatives of the National Farmers’ Union, Swedish Farmers, the International Union for Conservation of Nature, the World Wide Fund for Nature, the Institute for European Environmental Policy, and commercial pollination and bee health companies including Biobest Group, Wildbiene + Partner and VitaBeeHealth. Regulatory scientists from institutions such as the Julius Kühn Institute in Germany also contributed. Bringing together stakeholders who do not always see eye to eye, from environmental NGOs to agrochemical companies, and having them converge on shared priorities through a transparent scoring process, is itself a notable achievement and strengthens the practical credibility of the recommendations.

The work was carried out as part of PoshBee, a major European research project funded by the Horizon 2020 research and innovation programme under grant agreement no. 773921, which has examined the impacts of multiple stressors on pan-European bee populations. For beekeepers watching colony losses, for farmers who depend on pollination services, and for policymakers designing the next generation of agri-environment schemes, the message of this study is one of cautious optimism. We may not yet fully understand every interaction between pesticides, parasites and nutrition in managed bees, but we do know enough, the expert panel concludes, to act. Planting flower patches, paying farmers to farm with pollinators in mind, spraying less often and keeping sprays where they belong are the measures most likely to make a measurable difference, and with the right targeted support, the options that are effective but hard to implement today could become standard practice across European farmland tomorrow.

Subject of Research: Expert-based prioritisation of mitigation options for interacting pesticide, parasite and nutritional stressors on managed bees in European agricultural landscapes

Article Title: Options for mitigating multi-stressor interactions on managed bees in European agricultural landscapes

Article References: Willcox, B. K., Senapathi, D., Brown, M. J. F., Garratt, M. P. D., Breeze, T. D., Alix, A., Allen, M., De la Rúa, P., Gospodinov, K., Hartfield, C., Ivarsson, K., Maus, C., McDowell, D., Michez, D., Mielgo, P., Nazzi, F., Padurean, C., Paxton, R. J., Pettis, J. S., … Potts, S. G. (2026). Options for mitigating multi-stressor interactions on managed bees in European agricultural landscapes. Scientific Reports. https://doi.org/10.1038/s41598-026-73031-7

Image Credits: AI Generated

DOI: 10.1038/s41598-026-73031-7

Keywords: managed bees, pollinators, pesticides, Delphi method, agricultural landscapes, bee health, multi-stressor interactions, flower patches, pollinator policy, Apis mellifera, Bombus terrestris, Osmia bicornis

The stakes are considerable. Agricultural land covers nearly six billion hectares worldwide, roughly forty percent of the planet’s emerged land surface, and in metropolitan France it stretches across twenty-seven million hectares — about half the national territory. This dominance makes farming one of the most impactful human activities on biodiversity. France’s wooded countryside, known as bocage, once formed an intricate patchwork of hedgerows totaling around two million linear kilometers in the early nineteenth century. By 2006, approximately seventy percent of that network had been erased, as mechanized, industrial agriculture redrew parcel boundaries and replaced wooded fields with open ones. The consequences for biodiversity, including species beneficial to crops, have been profound and are still unfolding.

Hedgerows occupy a special ecological position. They create ecotones — transitional zones between distinct ecosystems — that often harbor more biodiversity than the uniform habitats on either side. Previous work has shown that hedgerows can support more ground beetle species than adjacent meadows, and that ant species abundance distributions can display a distinctive ecotonal effect. Yet despite decades of research on hedgerow ecology, no study appears to have focused specifically on how these structures shape ant communities, let alone on the functional traits those ants carry. Ants are ideal candidates for such scrutiny: they are considered keystone species, they are sensitive to soil disturbance and quality, and their species richness correlates with the diversity of numerous other groups, from springtails to beetles to microbes.

To fill this gap, the team deployed three hundred pitfall traps in the Allier department of central France during August 2020. The traps were arranged along transects running from the edge of twenty different hedgerows into the centers of adjacent agricultural plots, at distances of zero, six, twelve, twenty-four, and forty-eight meters. That outermost distance was chosen deliberately: earlier research suggests it approximates the threshold at which hedgerows influence crop yields. The twenty hedgerows were split into two categories — eleven arboreal hedges exceeding five meters in height along most of their length and containing at least five substantial trees, and nine shrubby hedges that fell below those thresholds. Each trap operated for seven days, and every ant collected was identified to species level.

The haul amounted to 2,556 individual ants representing twenty-one species from ten genera and three subfamilies. The most abundant species, Tetramorium grp. caespitum-impurum, accounted for 969 individuals, while two species — Lasius brunneus and Colobopsis truncata — were each represented by a single specimen. When the researchers analyzed species richness using accumulation curves, two patterns emerged: richness tended to increase with proximity to hedgerows, and arboreal hedgerows supported significantly more species than shrubby ones. The latter finding is particularly notable, as the authors know of no previous study that has compared different hedgerow types in terms of insect richness. They suggest that shrubby hedges may be structurally closer to herbaceous infrastructure than to their taller, more complex arboreal counterparts.

Community composition told an equally compelling story. A redundancy analysis revealed that distance from the hedgerow significantly shaped ant communities, explaining nearly twenty-eight percent of the variance, while a factorial correspondence analysis exposed a clear gradient: communities close to hedges differed more sharply from one another than those farther away. Species such as Myrmecina graminicola and Temnothorax nylanderi were largely restricted to within six meters of hedgerows, whereas Tetramorium moravicum and Tapinoma erraticum dominated the forty-eight-meter mark. The researchers interpret this as evidence that agricultural disturbances act as environmental filters, selecting for hardy generalists in the open field while allowing more specialized species to persist in the sheltered hedge margin. Rare species, including the arboreal-nesting C. truncata and the shining black Lasius fuliginosus, appeared almost exclusively at the base of arboreal hedges — consistent with the habitat heterogeneity hypothesis, which holds that more structurally complex vegetation offers more ecological niches.

The functional analysis went a step further, asking not just which ants were present but what traits they carried. Using a database of eighteen functional traits per species, the team computed eight functional diversity indices. Three proved sensitive to hedgerow effects: functional evenness and functional mean nearest neighbor distance declined with distance from hedges, indicating that functions are distributed more evenly and with greater differentiation near the woody corridors, while functional dispersion was higher around arboreal hedges than shrubby ones. Ten of the fourteen response traits correlated with distance. Near hedges, ants tended to be larger, individually foraging, and equipped with more queens and nests; farther out, communities shifted toward smaller, behaviorally dominant, seed-eating species with larger colonies and independent colony foundation — a classic profile of pioneer generalists suited to frequently disturbed environments.

The most agriculturally charged results came from the effect traits, which the researchers linked to presumed ecosystem services and disservices. Soil tilling — the bioturbation ants perform as they excavate nests — decreased with distance from hedgerows, suggesting that hedgerows promote a service known to enhance water infiltration, boost nitrogen and phosphorus availability, and accelerate decomposition. Insect predation, which encompasses the consumption of crop pests, also declined with distance, aligning with earlier findings that natural enemies accumulate near hedgerows. Most strikingly, the aphid breeding and nectar-theft disservice was lowest close to hedgerows and in shrubby hedges. The authors propose that elevated predation near hedges suppresses the ant-aphid mutualism, and they note that their results echo previous reports of reduced aphid abundance in fields adjacent to hedgerows. Seed dispersal showed only a weak, non-significant declining trend.

These findings carry a nuanced message about biodiversity on farmland. The authors caution against framing biodiversity purely in terms of ecosystem services, arguing that such an oversimplified portrayal can backfire when farmers, whose concerns include genuine disservices, feel misled. Soil tilling, for instance, is generally beneficial but can occasionally clash with the needs of particular crops through altered microbial activity or pH. The classification of any biological process as a service or disservice depends on context — a reality the study embraces rather than obscures. Intriguingly, while arboreal hedges hosted greater ant diversity, shrubby hedges appeared to deliver (dis)services more closely aligned with the needs of the adjacent field, hinting that predators spilling out of shrubby corridors are functionally more compatible with farmland conditions.

Ultimately, the study positions hedgerows as strategic infrastructure for the agroecological transition — a more resilient alternative to the intensive practices that have stripped them from the landscape. By supporting taxonomically and functionally distinct ant communities, and by tilting the balance toward beneficial processes like pest predation and soil engineering while suppressing aphid-related problems, hedgerows demonstrate that conservation and productivity need not be adversaries. The authors call for future research extending to other taxa, greater distances, and degraded bocage landscapes, along with standardized pitfall trap designs that prevent vertebrate bycatch. For now, the message is clear: every meter of hedge removed from a French field takes with it an invisible workforce of six-legged laborers whose services agriculture has barely begun to account for.

Subject of Research: The effects of hedgerow type and distance on ant community taxonomy, functional diversity, and agroecosystem services in French farmland

Article Title: The role of hedgerows in shaping ant (Formicidae) communities in agricultural ecosystems: for a better understanding of agroecosystems functioning, including presumed ecosystem services and disservices

Article References: Marty, C., Jamonneau, T., & Johnson, G. (2026). The role of hedgerows in shaping ant (Formicidae) communities in agricultural ecosystems: for a better understanding of agroecosystems functioning, including presumed ecosystem services and disservices. Web Ecology, 26(1), 1-25. https://doi.org/10.5194/we-26-1-2026

Image Credits: AI Generated

DOI: 10.5194/we-26-1-2026

Keywords: hedgerows, ants, Formicidae, agroecology, biodiversity, ecosystem services, functional diversity, bocage, France, agricultural landscapes, soil bioturbation, pest control

The research team, working across seventeen farms in Baden-Württemberg, installed artificial nesting stations, commonly called bee hotels, at nine organic and eight conventional farming sites. Each site hosted stations built from PVC pipes filled with reed stems of varying diameters, offering the hollow cavities that masked bee females seek out for nesting. The traps were set out in April 2021, left in the field for roughly six months, and then collected in September. Occupied nests were individually sealed in labeled tubing, transported to a greenhouse in Ulm, and later overwintered in a climate chamber at four degrees Celsius before being returned to the roof of the university building, where adult bees finally emerged in spring 2022.

Masked bees are striking creatures despite their diminutive size. Nearly hairless, black, and wasp-like in appearance, they carry distinctive white or yellow facial markings that give the genus its common name. Germany hosts forty-five solitary Hylaeus species, and unlike honeybees or bumblebees, these insects nest alone in plant stems and hollow twigs, sealing each brood cell with a silky, membranous material. Hylaeus communis, the most widespread member of the genus in Europe, is a pronounced generalist that pollinates a wide range of plants, making it an ideal sentinel species for probing how agricultural environments affect small-bodied pollinators that previous research has largely overlooked.

The study’s first major finding concerned the flowers themselves. Surveys conducted within a hundred meters of the nesting stations showed that organic farms supported dramatically richer floral environments than conventional ones. Flower species richness averaged 5.42 species per survey at organic sites compared with just 1.44 at conventional farms, a statistically significant difference. Total flower abundance told an even starker story: organic sites recorded nearly sixty thousand flowers across the sampled plots, while conventional sites recorded barely two thousand. Because floral resources were measured only once, the authors treat these differences as a plausible mechanism rather than a proven driver, but the contrast in the local flowering environment between the two farming systems was unmistakable.

When the researchers counted the bees that emerged, the pattern favored organic farming. Across all Hylaeus species, 148 nests were recorded at organic sites against 57 at conventional ones, and 298 bees emerged from organic sites compared with 105 from conventional ones. At the level of Hylaeus communis specifically, the difference was statistically significant: abundance was markedly higher under organic management, with model estimates showing a clear positive effect of the organic farming system. Notably, the proportion of organically managed land in the surrounding landscape did not show a significant association, suggesting that the local farming system itself, rather than the broader agricultural matrix, was the decisive factor for this species.

Forest cover told a more complicated story. The abundance of Hylaeus communis declined significantly as the proportion of forest within a five-hundred-meter radius increased, a radius chosen because it matches the known foraging range of small cavity-nesting bees. The authors propose two non-exclusive explanations. Masked bees forage mainly on herbaceous flowering plants, which are typically more abundant in open agricultural habitats and field margins than under closed canopy. Alternatively, forests may offer plentiful natural nesting substrates in dead wood and stems, reducing the bees’ reliance on the artificial trap nests and thus lowering the numbers recorded in them. Either way, the result challenges any simple assumption that more semi-natural habitat is always better for every wild bee species.

Perhaps the most intriguing result concerned offspring sex ratios. The sex ratio of Hylaeus communis became significantly more female-biased with increasing forest cover, while organic sites produced significantly more male-biased broods than conventional sites. Because female offspring are energetically costlier to produce, and because females are the sex that establishes the next generation of nests, this balance matters for population persistence. The authors suggest that the larger populations at organic farms may simply permit greater production of cheaper male offspring, while forests, with their lower exposure to fertilizers and pesticides and their rich edge habitats, may create conditions favoring female production or survival. The data cannot yet separate maternal sex allocation from differences in habitat use or dispersal between the sexes.

Body size, measured as the intertegular distance between the wing bases, responded only to sex. Females were significantly larger than males, consistent with the greater energetic demands of foraging, nest construction, and brood provisioning that fall entirely on solitary bee females. Surprisingly, neither the farming system nor the extent of organic farming in the landscape had any measurable effect on body size. The authors attribute this resilience to the species’ extreme dietary generalism: even where flower communities differ sharply between organic and conventional farms, both environments apparently supply enough resources for larvae to reach similar adult dimensions, buffering this small-bodied bee against nutritional variation that might affect more specialized species.

The chemical analysis delivered the study’s most novel contribution. Using gas chromatography and mass spectrometry, the team detected fifty-six characteristic cuticular lipid peaks in Hylaeus communis, identifying thirty-six of them, including seventeen alkanes, eighteen alkenes, and one monounsaturated fatty acid. The composition of these lipid profiles differed significantly between the sexes and, strikingly, between farming systems, with the separation holding independently for both males and females. Because cuticular lipids serve as the primary barrier against desiccation and function as chemical signals in nest recognition and mate choice, the finding implies that the farming environment can alter the chemical phenotype of individual bees. The authors note that the divergence was visually more pronounced in females, raising the hypothesis that altered female chemical profiles could influence mating success, a mechanism that might help explain the smaller populations observed at conventional sites, though it was not directly tested.

Taken together, the results position farming management as a genuine determinant of small wild bee populations, shaping abundance, sex ratios, and even the chemistry of individuals. The authors argue that expanding organic farming within predominantly conventional agricultural regions could materially improve conditions for cavity-nesting bees, and they point to Germany’s national goal of reaching thirty percent organic agricultural land by 2030 as a concrete opportunity to act on that evidence. At the same time, the study is careful about its limits: it concerns cavity-nesting Hylaeus sampled with bee hotels and should not be generalized to entire wild bee communities, and a single floral survey cannot capture the full seasonal dynamics of resources. Yet for a species as small, generalist, and ubiquitous as Hylaeus communis, the message is clear. Even bees that appear to thrive everywhere are not untouched by the way humans manage the land, and the consequences of that management are written into their bodies at a molecular level.

Subject of Research: Effects of organic and conventional farming and forest cover on the population dynamics, sex ratio, body size and cuticular lipids of the solitary masked bee Hylaeus communis

Article Title: Agricultural Landscapes and Forest Fragments Shape Population Dynamics, Cuticular Lipids and the Conservation of the Masked Bees, Hylaeus communis

Article References: Olberz, S., Jansen, S., Ayasse, M., & Boff, S. (2026). Agricultural Landscapes and Forest Fragments Shape Population Dynamics, Cuticular Lipids and the Conservation of the Masked Bees, Hylaeus communis. Ecology and Evolution, 16(10), Article e74436. https://doi.org/10.1002/ece3.74436

Image Credits: AI Generated

DOI: 10.1002/ece3.74436

Keywords: Hylaeus communis, masked bees, wild bees, organic farming, conventional farming, agricultural landscapes, forest cover, cuticular lipids, sex ratio, bee conservation, pollinators, solitary bees

The research tackles a long-standing problem in ecosystem service science. Landscapes are increasingly managed not for single outputs but for multifunctionality, the capacity of an area to simultaneously supply provisioning services such as food and water, regulating services such as water purification and climate moderation, cultural services such as recreation and identity, and supporting services such as habitat maintenance and nutrient cycling. Yet most assessments of multifunctionality rely exclusively on expert-derived biophysical indicators, leaving out the people who actually inhabit, work, and value these places. The Villafáfila study was designed to close that gap by combining hard ecological measurement with stakeholder-based participatory mapping and an explicit analysis of how local actors perceive environmental risk.

Methodologically, the framework is built around the Multiple Ecosystem Services Landscape Index, or MESLI, a composite metric originally developed to quantify how many different services a landscape supplies at meaningful levels. The researchers applied this index to 32 municipalities surrounding the Villafáfila wetland, treating each municipality as a spatial unit of analysis. For each unit, they estimated biophysical indicators of ecosystem service supply alongside perceived supply and demand derived from stakeholder mapping exercises. They then computed diversity metrics to capture how evenly services were distributed within each municipality, and used similarity analysis to group municipalities according to their service profiles. This combination allowed the team to identify synergies, where multiple services rise together, and trade-offs, where enhancing one service comes at the expense of another.

The spatially explicit results reveal a clear gradient. Municipalities closest to the wetland exhibit significantly higher multifunctionality than more distant ones, forming recognizable hotspots where the density and diversity of ecosystem services peak. Crucially, the drivers of this elevated multifunctionality are not the provisioning services that dominate conventional agricultural assessments. Instead, cultural and supporting services, often overlooked in expert-based frameworks, emerge as the engines of multifunctionality in the wetland-proximate zone. The lakes and their surrounding grasslands supply aesthetic, recreational, and identity-related benefits, alongside the habitat functions that sustain the area’s celebrated bird populations, and these contributions push the nearby municipalities to the top of the multifunctionality ranking.

Perhaps the most striking finding concerns risk perception. The researchers found a strong correlation between landscape multifunctionality and the degree to which local stakeholders perceive socio-environmental risks. In other words, the places that people value most highly, and that deliver the widest array of benefits, are also the places where communities are most acutely aware of vulnerability. The risks identified in the study area include rural depopulation, biodiversity loss, and agricultural intensification, three pressures that interact in ways that can erode the very services that make the landscape valuable. Depopulation hollows out the labor and stewardship needed to maintain traditional farming practices; intensification simplifies the agroecosystem and degrades habitat; and biodiversity loss undermines both the ecological and the cultural foundations of the wetland system.

This correlation between value and vulnerability reframes the relationship between people and landscape. Rather than treating risk perception as a subjective overlay to be corrected by scientific data, the study treats it as a diagnostic signal. Communities that perceive risk in a highly multifunctional landscape are, in effect, registering their dependence on it and their sensitivity to its degradation. The authors argue, drawing on sociological theories of risk, that perceived risk is socially constructed but grounded in material reality: the physical environment shapes sense of place, and threats to that environment are experienced as threats to livelihood, identity, and well-being. Integrating this perceptual dimension into ecosystem service assessments therefore does not dilute scientific rigor; it enriches it by revealing where ecological and social priorities align or collide.

The comparison between biophysical and perceived multifunctionality also exposes mismatches between supply and demand. By mapping both, the framework visualizes where a municipality may biophysically supply a service that local stakeholders do not perceive or value, and conversely where demand for a service exceeds what the landscape can deliver. Such spatial mismatches are precisely the information that landscape planners need. A policy that targets conservation funding at biophysical hotspots alone might miss municipalities where perceived demand is high but supply is lagging, while a policy driven purely by stakeholder preference might overlook ecologically critical areas that residents take for granted. The study’s similarity analysis, which clusters municipalities by their combined service profiles, offers a way to design interventions at the scale of coherent landscape units rather than administrative boundaries drawn for other purposes.

From a practical standpoint, the authors emphasize that their methodology is rapid, cost-effective, and transferable. Participatory mapping exercises can be organized with modest resources, and the analytical pipeline, implemented in standard statistical environments, relies on publicly available geospatial data combined with stakeholder input. This makes the approach replicable in other rural and agricultural–wetland systems, from Mediterranean dehesas to deltaic farmland in Asia, where similar tensions between production, conservation, and community well-being play out. The framework’s outputs, including hotspot maps, supply–demand balance sheets, and risk perception overlays, are designed to feed directly into adaptive management and spatial planning processes, giving decision-makers a shared evidence base that incorporates both ecological performance and social relevance.

The broader significance of the work lies in its contribution to interdisciplinary landscape governance. Ecosystem service science has matured considerably over the past two decades, but critics have noted that biophysically informed valuation and sociocultural valuation still run on parallel tracks, rarely integrated in a single assessment. The Villafáfila study demonstrates a concrete template for bridging that gap. By treating stakeholder perceptions as data of equal standing with biophysical indicators, and by adding risk perception as a third analytical lens, the researchers show how a landscape can be understood simultaneously as an ecological system, an economic asset, and a lived social space. This tripartite view is essential in human-shaped landscapes, where the line between natural and managed systems is blurred and where the sustainability of ecosystem services depends on the continued engagement of rural communities.

For the Villafáfila wetlands themselves, the findings carry immediate implications. The identification of wetland-proximate municipalities as multifunctionality hotspots strengthens the case for conservation-oriented and adaptive management in and around the protected area, while the risk perception results signal that local communities are ready interlocutors who already grasp the stakes. As rural Spain confronts depopulation and agricultural restructuring, tools like this one offer a way to align policy with both ecological reality and human values, ensuring that landscapes continue to deliver food, water, biodiversity, and meaning to the people who call them home. The study stands as a reminder that the most valuable landscapes are often those that do many things at once, and that seeing them clearly requires more than one kind of knowledge.

Subject of Research: Mapping biophysical and perceived ecosystem service multifunctionality and risk perception in an agricultural–wetland landscape in Spain

Article Title: Biophysical and Perceived Multifunctionality in an Agricultural–Wetland System: Hotspots, Similarities and Risk Perceptions

Article References: Cordoves-Sánchez, M., Aponte, H., Vallejos-Romero, A., Ardura, F. S., Hernández-Navarro, S., & Cisternas, C. (2026). Biophysical and Perceived Multifunctionality in an Agricultural–Wetland System: Hotspots, Similarities and Risk Perceptions. Environmental Management, 76(9), Article 293. https://doi.org/10.1007/s00267-026-02608-9

Image Credits: AI Generated

DOI: 10.1007/s00267-026-02608-9

Keywords: ecosystem services, landscape multifunctionality, wetlands, risk perception, participatory mapping, agricultural landscapes, MESLI, Spain, biodiversity, environmental policy, rural depopulation, socio-environmental risk

The team installed pollen traps at two marked hives per apiary, pooling material into composite two-week samples across seven sampling periods each season, from early May to mid-August in 2025 and mid-May to late August in 2024. Samples were frozen at minus 18 degrees Celsius until analysis, and accredited laboratories in Berlin used validated multi-residue methods based on liquid and gas chromatography coupled with tandem mass spectrometry, with dedicated LC-MS/MS screening for the highly polar herbicide glyphosate and its breakdown product AMPA. Botanical composition was reconstructed under light microscopy, with more than 500 pollen grains identified per sample, allowing the researchers to link each residue detection to the plants the bees had actually visited.

In total, 15 active substances were detected in 2024 and 19 in 2025. Fungicides dominated the detection profile in both years, accounting for 51 percent of detections in 2024 and 54 percent in 2025, followed by herbicides and, trailing behind, insecticides. The most frequently recorded compounds included boscalid and azoxystrobin among the fungicides, glyphosate and clopyralid among the herbicides, and the neonicotinoid-class insecticide acetamiprid. Maximum concentrations were striking: glyphosate reached 840 micrograms per kilogram in 2024 and 327 in 2025, boscalid peaked at 610 micrograms per kilogram in 2024, and the herbicide fluazifop-P-butyl hit 660 and 1800 micrograms per kilogram across the two years, far exceeding the European Union recommended maximum residue level of 50 micrograms per kilogram for bee products.

The fluazifop-P-butyl findings stand out as among the most consequential for beekeepers and regulators. This grass-specific herbicide is not typically considered a bee-toxicity headline grabber, yet its concentrations in Latvian pollen exceeded most values reported elsewhere in Europe, though they remained below the extreme 6831 micrograms per kilogram documented in southern Germany by earlier researchers. Acetamiprid tells a different regulatory story. The European Union’s acceptable concentration in bee products was 50 micrograms per kilogram in 2024 but rose to 300 micrograms per kilogram in 2025, and individual Latvian samples exceeded the limits applicable at the time of sampling in both years, with maxima of 350 and 200 micrograms per kilogram respectively.

Perhaps the most unexpected detection was terbutryn, a herbicide banned for agricultural use in the EU, found once in 2025 exclusively at the urban-influenced Jelgava apiary. Because it appeared in no earlier sampling year, the researchers rule out current farming as the source. Terbutryn is known to leach from biocide-treated facade coatings and paints, and it is used for aquatic algae control; a wastewater treatment plant within the foraging radius of the Jelgava hives may represent a plausible contamination pathway. The finding is a reminder that pollinator pesticide exposure is not confined to fields, and that urban infrastructure can quietly contribute to the chemical loads carried back to the hive.

Seasonal patterns proved decisive. Residue concentrations and risk values rose mainly between mid-May and early July, coinciding with the flowering of oilseed rape and legumes and the associated pesticide applications. In 2024, the highest total residue load occurred in the second sampling period, when pollen from the crucifer family dominated the samples and bees were foraging intensively on winter oilseed rape. Elevated levels followed in early June, tied to legume crops such as field beans and peas, and again in late July when flowering weeds of the goosefoot family provided a late-summer pollen source. In 2025, detections were spread more evenly across the season, with peaks in late May and early June linked to crucifers and rose-family bloom such as apple, plum and pear, and renewed elevations in late July associated with summer oilseed rape.

To translate chemical concentrations into biological risk, the team applied the Pollen Hazard Quotient, a screening metric that divides the detected concentration in pollen by the acute oral or contact LD50 for honey bees, assuming a maximum daily intake of up to 9.5 milligrams of bee bread per nurse bee. Values below 50 are considered low risk, between 50 and 500 moderate, and above 500 high. Median PHQ values stayed safely under 50 in every sampling period of both years, indicating generally low colony-level toxicological pressure. But individual samples told a sharper story: several 2025 samples crossed the threshold, and one sample from Vecauce parish in the fifth period of 2025 reached a staggering PHQ of 1173.91, driven almost entirely by cypermethrin, a pyrethroid insecticide whose very low contact LD50 means even a moderate concentration translates into a high hazard score.

That cypermethrin result crystallises a central lesson of the study: toxicity, not abundance, determines risk. Frequently detected fungicides and herbicides contributed little to cumulative PHQ because their LD50 values are comparatively high, while compounds such as acetamiprid, flupyradifurone and cypermethrin punched far above their concentration weight. The researchers caution that PHQ is a screening tool with real limitations. It rests on acute endpoints only, ignoring chronic exposure, sublethal effects and the potential interactions within the pesticide mixtures that bees inevitably encounter simultaneously. Real-world exposure risk may therefore be underestimated, particularly when colonies face repeated pulses throughout a brood-rearing season.

What the study did not find may matter just as much. The team hypothesised that apiaries surrounded by more agricultural land, more nectar-producing crops, or crops under higher pesticide-use intensity would show higher cumulative PHQ values. Graphical comparisons across the six sites and two years found no consistent pattern. Platone parish, with the highest proportion of agricultural land, did not post the highest risk values, while some sites with little farmland still recorded measurable exposure. High proportions of crucifer, legume or rose pollen did not reliably track the mapped crop areas around each apiary, suggesting that bees forage selectively, that systemic pesticides move residues away from treated fields, and that broad landscape categories are simply too coarse to capture field-level application timing. Exposure, the authors conclude, is shaped by temporal dynamics, local management and bee behaviour rather than landscape composition alone.

The study builds on earlier Latvian work published in 2024 and offers the Baltic region some of its first long-term pollen monitoring data, filling a gap where oilseed rape covers 145,100 hectares and legume areas have grown 84 percent since 2020. For beekeepers, the practical message is that danger is concentrated in identifiable windows, chiefly mid-May through early July, when crop flowering and spraying overlap with intensive foraging and brood rearing. For regulators and researchers, the findings argue for monitoring designs that capture short-term exposure peaks and application timing rather than averaging the season into invisibility. Honey bee-collected pollen, the authors note, proved a suitable and temporally resolved tool for exactly this purpose, identifying precisely when and where agricultural environments turn most hazardous for their most industrious visitors.

Subject of Research: Pesticide residues and seasonal exposure risk in honey bee-collected pollen across Latvian agricultural landscapes

Article Title: Pesticide exposure risks and seasonal variation in honey bee-collected pollen across agricultural landscapes in Latvia

Article References: Pesticide exposure risks and seasonal variation in honey bee-collected pollen across agricultural landscapes in Latvia. (n.d.). https://doi.org/10.1007/s11356-026-38238-1

Image Credits: AI Generated

DOI: 10.1007/s11356-026-38238-1

Keywords: honey bees, pesticide residues, pollen, pollinator health, glyphosate, cypermethrin, Pollen Hazard Quotient, agricultural landscapes, fungicides, Latvia, ecotoxicology, bioindicators

The research, published in the journal Environmental Challenges, was conducted by Bernadett Csonka, Katalin Balázs and László Podmaniczky, who set out to close a persistent gap between the richness of spatial data available to policymakers and the ecological indicators actually used to assess farmland biodiversity. Agricultural landscapes cover vast areas of Europe and sit at the centre of EU biodiversity policy, yet species-level monitoring remains expensive, fragmented and impossible to carry out wall-to-wall across entire countries. The team’s answer was to stop chasing species directly and instead measure the architecture of the landscape itself — the stitched-together mosaic of habitats that determines whether species can move, disperse and persist.

The foundation of the approach lies in data infrastructures most people never think about. Under the Common Agricultural Policy, every payment claim runs through the Integrated Administration and Control System, which relies on the Land Parcel Identification System (LPIS) and the annual Geospatial Aid Application (GSAA) — high-resolution, georeferenced maps of fields, crops and landscape features verified for eligibility. In Hungary, the national LPIS, known as MePAR, operates as a wall-to-wall land cover dataset covering the entire country, a rarity in the EU, with a minimum mapping unit of just 100 square metres for arable land and explicit capture of linear landscape elements wider than roughly two metres. That means hedgerows, tree rows, field margins and grassland patches are drawn into the record with fine spatial detail, updated on a three-year orthophoto cycle and cross-checked annually against satellite observations from the CAP Area Monitoring System.

From this administrative goldmine, the researchers built an indicator they call ecosystem spatial complexity. The core measurement is deceptively simple: within each UTM quadrat — thousands of fixed grid cells covering the country — they calculated the total length of boundaries between different land cover categories, using 27 land cover groups and excluding self-intersections and artificial surfaces. The logic draws on a long tradition in landscape ecology: habitat transitions, or ecotones, are zones where species richness tends to rise because adjacent habitat conditions coexist, so a landscape laced with long, convoluted boundaries between arable land, grassland, woody vegetation and wet features should offer more niches, more stepping stones and greater structural resilience than a landscape of vast, uniform fields. The computations were performed in an open-source workflow combining QGIS, a PostGIS spatial database and spreadsheet analysis, processing more than 1.2 million polygons per year.

The team deliberately refined classical metrics to avoid known biases. Shape-complexity measures such as Patton’s edge index can overvalue narrow linear features like grass margins while underrepresenting isolated tree groups, which in intensively cultivated arable landscapes often serve as the more ecologically valuable stepping stones. The Hungarian framework therefore distinguishes four harmonised phenological categories — arable land, natural vegetation, semi-natural vegetation including managed grassland, and artificial sealed surfaces — chosen because they align with what Earth observation can reliably detect, and it complements the boundary metric with a compositional diversity indicator that counts the distinct land cover types and crop types present in each quadrat, drawing crop information from the annual GSAA declarations.

A crucial methodological step was proving that the decadal dataset of 2015 to 2024 was stable enough to support trend analysis. The authors demonstrate that the MePAR classification methodology has remained consistent since 2018, meaning that later changes in polygon boundaries reflect genuine changes on the ground rather than shifts in how data were drawn or classified. From 2023 onwards, linear landscape elements of high biodiversity relevance — tree rows and field margins — were systematically represented across full national coverage in the natural vegetation category, allowing the team to compare a five-year average from 2018 to 2022 against 2023 and 2024 on a like-for-like basis.

The headline finding is dramatic. Comparing 2019 with 2024 under a ±10 percent deviation threshold, 84.58 percent of agriculture-dominated quadrats in Hungary showed a decrease in ecosystem spatial complexity greater than 10 percent, while only 0.15 percent showed an increase above that threshold; the remaining 15.28 percent stagnated. Roughly half of the declining quadrats lost between 10 and 20 percent of their complexity, and about a quarter fell in the 20 to 30 percent loss class. Because total eligible area remained largely stable over the period, the signal is expressed almost entirely through boundary dynamics — the removal of field margins, the homogenisation of adjacent practices, the disappearance of small semi-natural patches — rather than through the outright conversion of land. In plain terms, Hungary’s farmed landscapes are being ironed flat, their fine-grained habitat mosaics eroding into larger, simpler blocks.

The framework also translates raw complexity values into policy-ready categories. Using thresholds derived from a six-year reference period, each quadrat is classified as unfavourable, average or favourable: in 2024, about 11.56 percent of quadrats fell into the unfavourable class with complexity below roughly 100 kilometres of habitat boundary, around 16.31 percent were favourable above about 210 kilometres, and nearly three-quarters sat in the average band. A complementary dynamic classification using Jenks natural breaks optimisation allows year-specific targeting of interventions. National statistics on specific boundary types sharpen the picture further: the total outer boundary of arable land, the length of contact between arable land and linear landscape features, and the perimeter where agricultural land meets natural or semi-natural vegetation each serve as sensitive detectors of field consolidation and the loss of hedgerows, tree rows and narrow forest strips.

The authors are careful about what such proxies can and cannot claim. Boundary length captures structural complexity, not biodiversity itself — species richness, abundance and community composition remain unobserved — and the relationship between edge density and ecological quality is not unidirectional, since fragmentation can harm species that depend on large, contiguous habitats even as it benefits generalists. The indicators also inherit uncertainties from farmer-declared crop data, though integration with Sentinel-2-based Area Monitoring System outputs is expected to progressively reduce that weakness. The study does not establish causality between landscape structure and biodiversity outcomes; it captures structural correlation and change, which would need to be paired with field observations to untangle drivers such as climate variability, soil properties and management intensity.

Even so, the policy implications are considerable. The Nature Restoration Law, which entered into force in 2024, explicitly sets targets for high-diversity landscape features on agricultural land — hedgerows, buffer strips, ponds, wooded strips, isolated trees — and demands spatially explicit, comparable monitoring across Member States. A proxy that can be computed annually, at quadrat or even parcel level, from data that national administrations already collect and verify, offers exactly the kind of scalable, reproducible benchmark that performance-based CAP evaluation frameworks require. Validated for transferability against Austrian IACS datasets under INSPIRE standards, and transferable in principle to other Member States using Copernicus High Resolution Layers where wall-to-wall LPIS does not exist, the approach demonstrates that the EU’s subsidy machinery, reinterpreted through the lens of landscape ecology, can double as a continental early-warning system — one that has already issued its first warning, showing biodiversity-relevant landscape structure collapsing across most of a nation’s farmland within five years.

Subject of Research: Deriving a transferable ecosystem spatial complexity proxy for farmland biodiversity monitoring from high-resolution CAP and Earth observation data

Article Title: Ecosystem spatial complexity derived from high resolution agricultural data: a transferable biodiversity proxy

Article References: Csonka, B., Balázs, K., & Podmaniczky, L. (2026). Ecosystem spatial complexity derived from high resolution agricultural data: a transferable biodiversity proxy. Environmental Challenges, 25, Article 101658. https://doi.org/10.1016/j.envc.2026.101658

Image Credits: AI Generated

DOI: 10.1016/j.envc.2026.101658

Keywords: biodiversity, agricultural landscapes, ecosystem spatial complexity, Common Agricultural Policy, LPIS, IACS, Earth observation, landscape ecology, habitat heterogeneity, Nature Restoration Law, Hungary, Sentinel-2