The study, led by Tao Liu of Xi’an University of Architecture & Technology Huaqing College together with colleagues at Xi’an University of Architecture and Technology, surveyed households across three flood-prone counties: Gaoxian, Jiajiang, and Yuechi. These are not abstract case studies. Jiajiang County endured the largest flood since hydrological records began in 1955 during the “8.18” flood of 2020, which affected more than 118,000 residents. Yuechi County suffered rainstorm floods in July 2014 that touched all 44 of its towns and affected 460,000 people. Gaoxian saw flooding in 2019 that damaged over 6,100 hectares of crops. In short, the households in this sample live with flood risk as a recurring fact of life, not a hypothetical one.

The researchers structured their inquiry around a well-established framework in livelihood research. Livelihood resilience — a household’s ability to absorb disturbances and keep functioning — was decomposed into three capacities: buffering ability, meaning the land, labor, assets, and income a family can draw on when livelihood is disrupted; self-organization ability, meaning the capacity to mobilize collective action, community resources, and reciprocal relationships; and learning ability, meaning the knowledge and skills that widen a household’s options when conditions change. On the risk side, the team measured four dimensions: health, environmental, financial, and social risk, each built from multiple survey indicators.

The data came from face-to-face interviews conducted in July 2021 across nine towns and twenty-seven villages, using a stratified, multi-stage random sampling design. Respondents averaged 58.5 years of age with roughly 6.7 years of schooling, and 70 percent reported that weather had damaged their crops. The researchers weighted indicators using the coefficient of variation method, an objective statistical approach that assigns greater weight to indicators showing more variation across households, and then modeled the relationship between risk scores and resilience scores using fractional logit regression with county fixed effects. Because the dependent variables were proportions bounded between zero and one, this model class avoids the distortions that ordinary linear regression can introduce at the boundaries.

The headline result is stark. Social risk was negatively associated with all three component capacities and with overall livelihood resilience, with statistical significance at the 1 percent or 5 percent level across the adjusted models. In practical terms, a one-standard-deviation increase in the social risk index was associated with measurable declines in buffering, self-organization, learning, and overall resilience. The authors are careful to stress that these are cross-sectional associations, not causal effects — the data capture a single moment in time, so the direction of the relationship cannot be pinned down. But the consistency of the pattern across every outcome the team tested is difficult to dismiss.

Health risk told a more partial story. It was negatively associated with self-organization capacity at the 10 percent significance level and with overall livelihood resilience at the 5 percent level, but showed no statistically reliable association with buffering or learning capacity. This aligns with a well-documented mechanism: serious illness drains labor capacity, generates medical expenses, and shifts caregiving burdens onto healthy family members, undermining the social and organizational dimensions of a household’s livelihood without necessarily depleting its physical assets. The authors interpret this as limited, outcome-specific support for their hypothesis rather than a general relationship.

Perhaps the most counterintuitive finding concerns money. Financial risk appeared positively associated with overall livelihood resilience in the baseline model — a result that seems, on its face, to suggest that financial strain somehow strengthens households. The robustness checks dismantled that interpretation. When the team recalculated the financial risk index excluding loan-amount indicators, the positive association vanished. The explanation lies in what loan amounts actually measure: a household carrying substantial formal and informal borrowing may be under debt pressure, or it may simply have good access to credit because lenders trust it. Those two channels push resilience in opposite directions, and the index could not separate them. The authors explicitly warn against reading the result as encouragement for more borrowing.

Environmental risk — the category covering floods, extreme weather, pollution, soil erosion, and crop pests — showed no statistically significant association with any resilience outcome. This null result is striking given the study area’s flood history, and the authors resist over-explaining it. They note that possible contributors, such as survey timing, limited variation in reported exposure, or the breadth of the perception-based environmental index, were not directly tested. They also point to disaster research showing that household welfare often recovers over time as assets are rebuilt and assistance arrives, which can flatten the apparent cross-sectional relationship between hazard exposure and resilience. The finding should be read as a null association within this sample and measurement framework, not as evidence that environmental hazards do not matter.

Methodologically, the study took unusual care with inference. Standard errors were clustered at the village level across the twenty-seven villages, and significance was assessed using wild cluster bootstrap procedures with 1,000 replications — a technique designed for settings where the number of clusters is too small for conventional clustered standard errors to be trustworthy. The team also ran robustness checks replacing the fractional logit with ordinary least squares, switching to equal weighting for the indices, and excluding potentially overlapping indicators. Social and health risk results held up across these variations; the financial result did not. The authors also acknowledged a conceptual wrinkle: some social-risk indicators sit close to the self-organization measures, which is precisely why they frame their policy suggestions as priorities for further local assessment rather than prescriptions.

For policymakers in flood-exposed rural regions, the practical takeaway is a reordering of priorities. The strongest signal points toward strengthening social support structures — identifying households with weak family or community ties, limited access to formal assistance, or low trust in local channels, and reviewing whether existing aid is actually known, reachable, and available when floods strike. The weaker health signal supports a cautious review of village health services and the needs of families facing serious illness. The financial findings argue for recording loan use, repayment difficulty, and default risk separately before proposing credit policies. And the environmental null result, paradoxically, is a call for more evidence rather than less action: local hazard exposure and program performance need direct study before subsidies or preparedness programs can be justified by this data. What the study ultimately demonstrates is that livelihood risk is not one number. Treating it as a single aggregate score, the authors conclude, conceals patterns that matter — and in the villages of Sichuan, the pattern that matters most is social.

Subject of Research: Associations between multidimensional livelihood risks and livelihood resilience among rural households in Sichuan Province, China

Article Title: Livelihood risks and resilience of rural households: evidence from Sichuan Province, China

Article References: Liu, T., Zhao, T., Tian, J., Zhao, S., Zeng, T., Xu, L., & Liu, W. (2026). Livelihood risks and resilience of rural households: evidence from Sichuan Province, China. Frontiers in Sustainable Food Systems, 10, Article 1934397. https://doi.org/10.3389/fsufs.2026.1934397

Image Credits: AI Generated

DOI: 10.3389/fsufs.2026.1934397

Keywords: livelihood resilience, livelihood risk, rural households, Sichuan Province, floods, social capital, fractional logit, China, household survey, disaster resilience, sustainable food systems, buffering capacity

The study, led by Davood Mafi-Gholami of the Standard Research Institute in Karaj, with Abolfazl Jaafari of Iran’s Research Institute of Forests and Rangelands and Binh Thai Pham of the University of Transport Technology in Hanoi, addresses a persistent blind spot in forest vulnerability science. Most vulnerability assessments, the authors note, still rest on single-hazard frameworks, even though the Intergovernmental Panel on Climate Change has repeatedly emphasized that real-world risk emerges from the interaction of climatic, environmental and human stressors. In a region where climate change and intensifying land use are accelerating ecological degradation, a single-lens approach risks underestimating the pressure on ecosystems that are already operating close to their physiological limits.

To build a more faithful picture, the team constructed a geographic information system-based multicriteria framework that integrates nine factors contributing to exposure: drought, actual evapotranspiration, wildfire, high-speed winds, maximum temperature, floods, landslides, dust storms and social vulnerability. Each hazard layer was standardized and then harmonized to a common 30-meter resolution, allowing the signals of very different phenomena, from atmospheric moisture demand to slope instability, to be combined cell by cell into a single continuous exposure index across the forest landscape. The choice of a fine spatial grain matters, because hazard intensity in mountain terrain can change dramatically over distances of a few hundred meters as elevation, aspect and land cover shift.

Weighting the relative importance of nine heterogeneous stressors is one of the most contested steps in composite risk mapping, and the researchers approached it through a structured expert elicitation process using Delphi-derived weights within a multicriteria decision analysis. This technique, long established in GIS-based decision support, iteratively refines expert judgments until they converge, producing a transparent set of relative weights that can be applied consistently across the entire study area. It also makes the model auditable: because the weights and the standardization procedures are explicit, other research teams can reproduce the index or adapt it to other mountain forest systems facing similar combinations of pressures.

Perhaps the most important technical feature of the study is that its outputs were tested against the real world rather than accepted on faith. The authors compiled 448 independent disturbance records, drawing on documented locations of oak decline, field-observed forest degradation sites and wildfire hotspots distributed across the Zagros. When these records were overlaid on the exposure index, 75 percent of them fell within the high and very high exposure classes. For a purely synthetic composite index, that level of agreement with independently mapped disturbance is a meaningful validation result, and it suggests the framework is capturing genuine spatial structure in where the forests are actually breaking down rather than merely producing a smooth statistical artifact.

Among the nine hazards, drought emerged as the dominant contributor to exposure, followed by wildfire and social vulnerability. That ordering tells a coherent ecological story. The Zagros woodlands, dominated by drought-sensitive oak species such as Quercus brantii, have experienced repeated severe droughts in recent decades, and satellite-based monitoring has documented substantial canopy losses associated with them. Prolonged water stress weakens trees, and weakened trees are in turn more flammable and more susceptible to pests and pathogens, which is one mechanism by which the region’s well-documented oak decline phenomenon is thought to propagate. Meanwhile, social vulnerability, reflecting the capacity of forest-dependent communities to absorb and recover from shocks, ranked third, underscoring that in this landscape ecological risk and human risk are inseparable.

The second major finding concerns canopy structure, which forms the conceptual core of the paper’s title. The researchers found that exposure increased consistently as canopy cover declined, with sparsely forested stands showing both the greatest concentration and the greatest spatial continuity of high-risk zones. This is more than a correlation of degraded land with degraded conditions. Canopy cover functions as a physical regulator of the microclimate beneath it: closed canopies moderate surface temperatures, reduce evaporative demand, protect soils from erosion, and slow the spread of fire by interrupting continuous fuel beds. As canopies thin, these buffering functions erode, and the underlying land becomes simultaneously hotter, drier, more erosion-prone and more fire-prone, feeding a feedback loop that pushes stands further from recovery.

The spatial pattern of this feedback is what makes the new index operationally valuable. Because exposure was computed at 30-meter resolution, the map distinguishes between isolated high-risk pixels and large contiguous zones where high exposure dominates the landscape. Continuity matters for managers: a fragmented high-risk patch may be stabilized through targeted interventions, whereas an extensive connected zone of sparsely canopied, drought-stricken, fire-prone forest represents a landscape-scale degradation corridor in which restoration efforts must be prioritized and concentrated. The authors position the framework as a practical decision support tool for exactly this purpose, applicable to restoration planning, climate adaptation, risk management and conservation prioritization in climate-sensitive mountain forests far beyond Iran.

The broader scientific significance of the work lies in its treatment of the exposure component of vulnerability. In the widely used vulnerability frameworks of sustainability science, vulnerability is decomposed into exposure, sensitivity and adaptive capacity, and the exposure term has often been the least spatially refined. By building a high-resolution, multi-stressor, validated exposure surface and then explicitly relating it to canopy structure, the study demonstrates that forest architecture is not merely a passive attribute of the ecosystem but an active regulator of how much environmental hazard the system actually experiences. That reframing has direct implications for how vulnerability models are parameterized, since stand structure data from remote sensing can now inform not only sensitivity estimates but exposure estimates as well.

For the Zagros forests themselves, the message is urgent. The region sits at a climatic crossroads where projections indicate continued warming and shifting precipitation regimes, and prior studies have shown that anthropogenic activities amplify wildfire occurrence across the eco-region. The new exposure map does not predict the future, but it identifies where the accumulated weight of drought, fire, dust, floods, landslides, heat, wind and social fragility is already greatest, and where the loss of canopy cover is converting scattered stress into concentrated, self-reinforcing risk. In a warming century, the authors suggest, protecting and restoring canopy structure in the most exposed zones may be among the most cost-effective levers available for keeping these irreplaceable mountain forests, and the communities that depend on them, from crossing thresholds from which recovery is no longer possible.

Subject of Research: Multihazard exposure assessment and the role of canopy structure in forest vulnerability in the Zagros forests of Iran

Article Title: Spatially explicit assessment of multihazard exposure in the Zagros forests of Iran: the role of canopy structure in the exposure component of forest vulnerability

Article References: Mafi-Gholami, D., Jaafari, A., & Pham, B. T. (2026). Spatially explicit assessment of multihazard exposure in the Zagros forests of Iran: the role of canopy structure in the exposure component of forest vulnerability. Environmental Monitoring and Assessment, 198(9), Article 1019. https://doi.org/10.1007/s10661-026-15874-1

Image Credits: AI Generated

DOI: 10.1007/s10661-026-15874-1

Keywords: Zagros forests, multihazard exposure, forest vulnerability, drought, wildfire, oak decline, canopy cover, GIS multicriteria analysis, social vulnerability, climate change, Iran, spatial modeling

The choice of venue is more than logistical convenience. Denver sits at the foot of the Colorado Rockies, a landscape where water issues are not abstract academic questions but daily realities. Lon Abbott, GSA Connects 2026 General Chair and Teaching Professor of Distinction in Earth Science at the University of Colorado Boulder, captured this in his welcome letter to attendees. Water is humanity’s most critical resource of all, and the foot of the Colorado Rockies, where geoscientists work daily to address myriad water issues from drought to acid-mine drainage to flash flooding, is a fitting place to hold the Riverscapes in Transition themed sessions that will probe the connection between humans and water, Abbott wrote. The statement frames the meeting’s central premise: the relationship between people and water is dynamic, reciprocal, and increasingly strained, and understanding it requires the full toolkit of the geosciences.

At the heart of the theme lies fluvial geomorphology, the science of how rivers move water and sediment and, in doing so, sculpt the surface of the planet. Two sessions held earlier in the week, organized in two parts under the title Riverscapes in Transition: Advances in Fluvial Geomorphology, Sediment Transport, Deposition, River Health, and Urban Rivers, explored how river systems transport their sediment loads, reshape their channels, and respond to both natural and human-driven disturbances. This is a field that has been transformed in recent decades by technology. Where early geomorphologists relied on surveying equipment and painstaking field measurements, today’s researchers combine remote sensing, field observations, and numerical modeling to track river behavior across spatial scales ranging from a single gravel bar to entire drainage basins, and across time scales from a single flood pulse to millennia of landscape evolution.

The technical questions at stake are far from academic. Sediment transport, for instance, governs whether a river builds up its floodplain or incises into it, whether reservoirs behind dams fill with silt or remain viable for generations, and whether coastal deltas that host hundreds of millions of people receive the sediment they need to keep pace with rising seas. River health, meanwhile, depends on the physical complexity of channels and floodplains, the pools and riffles and side channels that aquatic ecosystems require. When rivers are straightened, armored, or cut off from their floodplains, that complexity collapses, and the ecological consequences ripple through entire watersheds. The Denver sessions brought together scientists working on all of these fronts, using tools such as high-resolution topographic surveys, sediment flux measurements, and landscape evolution models to understand how rivers behave under stress and how they might recover.

But the theme deliberately extends beyond river channels themselves. Other sessions at the meeting approach the human-water relationship through landscape modeling, groundwater contaminants, and the hazards associated with landslides and hurricanes. This breadth reflects a growing recognition among geoscientists that water-related processes are not confined to the visible ribbon of a river. Groundwater, hidden beneath the surface, supplies a substantial share of the world’s drinking water and irrigation, yet it is vulnerable to contamination from industrial, agricultural, and mining sources. Landslides, often triggered by intense rainfall or by the saturation of slopes destabilized by wildfire, are among the deadliest water-related hazards. Hurricanes concentrate the ocean/land interface problem into a single violent event, dumping rain, eroding coastlines, and flooding communities far from any river. Understanding these processes requires the same combination of fieldwork, monitoring, and modeling that drives modern geomorphology, applied to systems where the stakes for human safety are immediate and severe.

Field trips are a signature feature of any GSA meeting, and this year’s offerings tie the Riverscapes in Transition theme directly to the landscapes of Colorado. Trips explore glacial deposits and mountain hydrology along the Colorado Front Range, the densely populated transition zone where the Rocky Mountains meet the Great Plains and where snowpack accumulation in the high country ultimately feeds the rivers that tens of millions of people depend on. Another trip examines the role of beaver dams in shaping stream environments, a topic that has surged in scientific and public interest as researchers document how these natural engineers slow runoff, trap sediment, raise water tables, and create habitat, sometimes offering a low-cost form of stream restoration that mimics processes humans once spent millions of dollars trying to replicate with heavy machinery.

Perhaps the most immediately relevant excursion, however, takes place close to the Colorado Convention Center itself. A field trip exploring Denver’s urban riverscapes stops at small creeks, range-front streams, and the South Platte River, examining how anthropogenic changes to these waterways affect their health and resilience. Urban rivers face a distinctive set of pressures. Impervious surfaces such as roads, parking lots, and rooftops prevent rainwater from soaking into the ground, so storm runoff arrives at streams faster and in greater volumes, scouring channels and delivering pollutants. Historic channelization and burial have erased habitat. Yet the Denver trip also highlights a success story: effective trout stream rehabilitation efforts and what they reveal about how rivers can recover from past disturbances when restoration is grounded in a sound understanding of fluvial process. For the scientists walking these urban corridors, the city itself becomes a laboratory for studying how rivers respond to, and sometimes rebound from, the most intense form of human modification.

What unites the research presented under this theme, despite its diversity of landscapes, methods, and challenges, is a single constant: rivers have a remarkable power to reshape landscapes, and their changes have direct consequences for the communities that depend on them. A river that shifts its course can undermine infrastructure built on its banks. A floodplain that no longer floods naturally can lose the sediment and nutrients that once sustained agriculture. A channel that incises can drop the water table across an entire valley, turning wetland to desert. Conversely, restored streams running through Denver neighborhoods demonstrate that informed intervention can reverse some of this damage. The science of changing riverscapes, from flash floods rushing through Front Range canyons to the slow recovery of rehabilitated urban creeks, tells the story of how humanity’s relationship with water is changing too.

That story is likely to grow more urgent. As climate and land-use change alter where, when, and how much water is available, the extremes of flood and drought are expected to intensify in many regions, stressing infrastructure, ecosystems, and the institutions that manage water. Meetings like GSA Connects 2026 serve as a critical venue where the observational record, the process models, and the hazard assessments produced by geoscientists are shared, debated, and translated into knowledge that planners, engineers, and policymakers can use. The Riverscapes in Transition theme makes the case that understanding rivers is not a narrow technical pursuit but a matter of human futures, because every landscape shaped by flowing water is also a landscape shaped by the people who live along it, draw from it, and depend on its continued capacity to sustain them.

Subject of Research: Fluvial geomorphology and changing water resources, including floods, drought, and river restoration, presented at the GSA Connects 2026 meeting

Article Title: Riverscapes in transition: Geoscientists gather in Denver to explore how changing water resources shape landscapes and lives

Article References: Riverscapes in transition: Geoscientists gather in Denver to explore how changing water resources shape landscapes and lives. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: riverscapes, fluvial geomorphology, sediment transport, floods, drought, river health, urban rivers, groundwater, river restoration, GSA Connects 2026, Colorado Front Range, water resources

The core of the commentary is a definitional challenge. Grimaldi asks what the word science actually means when applied to water, and answers that it must encompass the full chain from observation and modeling to engineering, governance, and on-the-ground implementation. A discipline that produces elegant models of catchment behavior but cannot help a municipality protect its drinking water supply has, by this standard, fallen short of its purpose. The framing echoes a broader conversation taking place across the geosciences. Recent commentary in Nature Water by Kaveh Madani and Karl Sjöstrand, cited in the piece, and a 2024 discussion in Hydrological Sciences Journal led by Berit Arheimer and colleagues have both questioned whether the hydrological community is organized to deliver the knowledge society needs in a usable form. Günter Blöschl, writing in Nature Water in 2026, has similarly weighed in on the relationship between hydrological research and societal relevance.

The technical substance of the concern is worth unpacking. Modern hydrology has become remarkably sophisticated at quantifying uncertainty, assimilating satellite observations into land surface models, and simulating streamflow at continental scales. Machine learning approaches now rival physically based models in predictive skill for many tasks, and global flood and drought databases have grown enormously in coverage. Yet the commentary suggests that this scientific productivity has not translated proportionally into reduced vulnerability. The reason, in Grimaldi’s account, is structural rather than intellectual: the incentives that govern careers, funding, and journal placement reward novelty and publication counts, not the slower, messier, and often unglamorous work of co-producing solutions with water managers, engineers, and affected communities.

This incentive problem has a well-documented anatomy. Hiring and promotion committees at research universities typically evaluate candidates on publication records, citation metrics, and grant income. Translational activities, such as serving on technical advisory boards, developing open operational tools, or engaging in prolonged dialogue with river basin authorities, are difficult to quantify and often count for little. A young hydrologist who spends two years helping a regional agency redesign its drought early warning system may produce fewer papers than a peer who publishes rapidly on a fashionable modeling topic. The commentary implies that this calculus systematically diverts talent away from exactly the interface where water science meets water crises, and that the discipline’s collective capacity to solve problems atrophies as a result.

The consequences of this gap are not hypothetical. Water-related disasters have grown in frequency and severity as climate change intensifies the hydrological cycle, warmer air holds more moisture, and precipitation extremes become more pronounced. At the same time, groundwater depletion, aging infrastructure, and diffuse pollution threaten water security in both wealthy and developing regions. The commentary’s framing of society as increasingly vulnerable to escalating water crises reflects a widely shared assessment in the water community: the scientific knowledge needed to anticipate many of these problems substantially exists, but the mechanisms for moving that knowledge into policy, planning, and infrastructure decisions remain weak. The result is a persistent and troubling lag between what hydrology knows and what societies do.

Grimaldi’s argument also carries an implicit critique of how scientific impact is defined in the water domain. Bibliometrics capture the circulation of ideas among researchers, but they say nothing about whether a flood forecasting improvement reached an emergency management office, whether a water quality study changed a treatment protocol, or whether a modeling framework was adopted by a basin authority. The commentary suggests that water science should be evaluated by its collective capacity, a phrase that shifts attention from individual achievement to the performance of the whole enterprise. That reframing has significant implications: it implies that solutions emerge from networks of researchers, practitioners, and institutions rather than from heroic individual discoveries, and that the health of those networks is itself a scientific asset worth measuring and protecting.

The piece situates itself within a recent wave of soul-searching in the field. The Madani and Sjöstrand commentary in Nature Water earlier in 2026, the Arheimer-led paper in Hydrological Sciences Journal in 2024, an editorial statement in Nature in 2024, and Blöschl’s 2026 Nature Water piece together form a sequence of high-profile interventions questioning the discipline’s direction. That such arguments are appearing in the field’s leading venues suggests a genuine inflection point rather than an isolated complaint. The hydrological sciences, which consolidated as a discipline in the twentieth century around measurement, process understanding, and modeling, are now being asked to justify their organization in terms of societal outcomes, a demand that many other fields, from climate science to public health, have faced in their own ways.

What would a solutions-oriented water science look like in practice? The commentary’s logic points toward several concrete shifts. Research assessments would need to credit engagement with practitioners and the development of operational tools alongside publications. Funding programs would need to support the sustained, often decades-long partnerships between scientists and water agencies that real-world implementation requires, rather than funding only short-term hypothesis-driven projects. Journals could elevate papers documenting the performance of solutions in practice, including negative results, which currently struggle to find a home. Universities would need to recognize translational work in promotion criteria. None of these changes is technically difficult, but each runs against entrenched institutional habits, which is precisely why the commentary frames the problem as one of the reward system rather than of individual motivation.

There is also a deeper epistemological point embedded in the argument. Turning knowledge into solutions is not a mechanical afterthought to research; it often generates new scientific questions. Working with a flood-prone city exposes gaps in understanding of urban hydrology and pluvial flood dynamics. Designing drought management with a farming region reveals uncertainties in soil moisture dynamics and crop water demand that no global model captures. In this sense, the commentary argues for a two-way street: engagement with practice is not a tax on science but a source of scientific insight, and a discipline cut off from practice risks becoming scientifically narrower even as its publication output grows. The most productive water science, on this view, is the kind that keeps one foot firmly in the river basin and the other in the journal.

The commentary closes on a note that is less a diagnosis than a challenge. If water science is defined as the collective capacity to deliver solutions, then every stakeholder in the enterprise, from individual researchers to journal editors to funding agencies to universities, shares responsibility for whether that capacity grows or shrinks. As water crises intensify across the globe, the cost of a discipline optimized for papers rather than practice will be measured not in citation counts but in flooded homes, dried wells, and contaminated supplies. Grimaldi’s intervention, brief as it is, adds a clear voice to a growing chorus insisting that the water research community reorganize itself around the problems it was created to solve, and that the time for that reorganization is now, while the stakes are still rising and the window for effective adaptation remains open.

Subject of Research: The misalignment between academic reward systems and societal problem-solving in water science

Article Title: Water science is more than papers

Article References: Grimaldi, S. (2026). Water science is more than papers. Nature Water. https://doi.org/10.1038/s44221-026-00726-6

Image Credits: AI Generated

DOI: 10.1038/s44221-026-00726-6

Keywords: water science, hydrology, Nature Water, research incentives, science policy, water crises, knowledge translation, research management, water security, floods, drought, academic publishing

The concept at the heart of the review, menstrual health and hygiene, is broader than many people assume. It encompasses not only the physical materials a person uses to absorb menstrual blood, but also the water, sanitation and disposal facilities that make hygienic management possible, the privacy and safety to change materials without fear of being seen or harassed, accurate information about the menstrual cycle, supportive social environments free of stigma, and access to healthcare for menstrual discomfort and disorders. Together these elements allow people who menstruate to manage their periods with dignity and choice. The researchers argue that climate hazards strike all of these interlinked domains at once, which is precisely why the problem has been so hard to see and so easy to ignore in mainstream climate policy.

To build the evidence base, the team conducted a mixed-methods systematic review of studies published in English between 1947 and 2025, searching four major databases: Medline, Scopus, Embase and Web of Science. They screened 3,890 records and ultimately included 25 studies that met their criteria, spanning quantitative, qualitative and mixed-methods designs. Because the studies varied enormously in the hazards they examined, the outcomes they measured and the methods they used, the researchers synthesised their findings narratively rather than pooling them statistically. The included studies covered floods, which featured in seven papers, air pollution in six, cyclones in three, droughts in three, saltwater intrusion in three, and multiple overlapping hazards in four. That distribution alone tells a story: some hazards have attracted research attention while others, notably extreme heat, remain almost entirely unstudied.

The findings on floods and cyclones are among the starkest. These sudden-onset disasters, the review found, disrupt access to menstrual materials just when supply chains and household budgets are under the greatest strain. Water and sanitation infrastructure is frequently damaged or destroyed, leaving people to manage menstruation without clean water, functioning toilets or safe disposal options. Privacy and safety collapse in crowded evacuation shelters and temporary settlements, where women and girls may have nowhere to change or wash. Access to care for menstrual disorders is limited as health systems are overwhelmed or inaccessible, and the social environment often turns unsupportive, characterised by stigma and restricted mobility that compound the physical hardship.

Slower-onset hazards leave a different but equally damaging fingerprint. Droughts and saltwater intrusion, which increasingly affect coastal communities as rising seas push saline water into freshwater aquifers, constrain hygiene practices primarily through reduced water availability and degraded water quality. When every litre must be rationed among drinking, cooking and cleaning, washing menstrual materials or one’s body becomes a luxury. The review documents how this scarcity affects comfort and dignity, and raises the risk of infection, turning a basic hygiene routine into a daily negotiation with an increasingly hostile environment. These findings matter because slow-onset hazards are projected to expand dramatically in the coming decades, yet they receive far less humanitarian attention than dramatic storms and floods.

The physical health consequences documented across hazards are not trivial. Studies reported dermatological irritation linked to prolonged use of materials or poor hygiene conditions, alongside reproductive and urinary tract infections that flourish when washing and changing become difficult. These are conditions that are largely preventable with adequate water, sanitation and supplies, which makes their persistence in climate-affected settings a marker of policy failure rather than inevitability. The review’s authors emphasise that these outcomes sit within a wider web of disadvantage, since the same communities facing climate stress often already lack robust health services and sanitation infrastructure.

Perhaps the most striking findings concern air pollution, an exposure that operates through an entirely different biological pathway. The studies included in the review linked air pollution exposure with earlier menarche, the onset of first menstruation, and with menstrual cycle irregularities. Earlier puberty has well-documented downstream implications for health across the life course, and cycle irregularities can signal endocrine disruption with effects on fertility, bone health and cardiovascular risk. That environmental pollution could be shifting the timing and regularity of the menstrual cycle itself adds a physiological dimension to a conversation that has mostly focused on access and logistics, and it suggests that the health burden of air pollution on people who menstruate has been systematically undercounted.

The psychosocial toll runs through nearly every study. Shame, anxiety and harassment emerge as recurring themes, whether the setting is a flooded village where pads have run out, a drought-stricken region where washing is impossible, or a polluted city where cycles have become unpredictable. Menstruation is already surrounded by stigma in many societies, and climate shocks appear to amplify that stigma by stripping away the privacy and resources that allow people to manage their periods discreetly. Restricted mobility during disasters can prevent girls from attending school and women from working during their periods, with cascading effects on education and income. The review makes clear that these consequences are not peripheral; they are central to how climate change deepens gender inequality.

Yet the evidence base itself is fragmented, and the authors are candid about its limits. Twenty-five studies across nearly eight decades of publication is a thin foundation for a problem affecting an estimated hundreds of millions of people who menstruate in climate-vulnerable regions. Evidence on extreme heat, arguably the most intensifying hazard of all, is essentially absent, and several domains of menstrual health, including access to accurate information, have barely been studied in any climate context. The geographic spread is uneven, the methods are heterogeneous, and few studies follow people over time. This fragmentation means that the true scale of the problem is likely underestimated, and that policymakers attempting to plan interventions have little rigorous evidence to guide them.

The review’s central message is a call to integration. Menstrual health, the authors argue, must be built into climate adaptation plans, disaster preparedness protocols and humanitarian response frameworks, rather than treated as an afterthought once the emergency phase has passed. That means stockpiling menstrual supplies alongside food and water, designing shelters with private washing and changing facilities, protecting water and sanitation infrastructure from flood and salinity damage, and ensuring that health services for menstrual disorders remain accessible during crises. It also means closing the research gaps the review identifies, particularly around extreme heat, slow-onset hazards and equity, so that the people most exposed to climate change, and most constrained in managing a basic biological process, are no longer invisible in the data that drives policy. As climate hazards intensify, the review suggests, the question is no longer whether climate change affects menstrual health, but how quickly governments and aid agencies will act on what the evidence already shows.

Subject of Research: The effects of climate-related hazards on menstrual health and hygiene worldwide

Article Title: Effects of climate change on menstrual health and hygiene: A global mixed-methods systematic review

Article References: D’Mello-Guyett, L., Jaggarwal, N., Wilbur, J., Torondel, B., & Ranganathan, M. (2026). Effects of climate change on menstrual health and hygiene: A global mixed-methods systematic review. PLOS Climate, 5(10), e0001083. https://doi.org/10.1371/journal.pclm.0001083

Image Credits: AI Generated

DOI: 10.1371/journal.pclm.0001083

Keywords: menstrual health, climate change, floods, drought, cyclones, air pollution, saltwater intrusion, water and sanitation, systematic review, public health, gender inequality, humanitarian response

The methodology behind the indicator is deliberately simple but technically pointed. The authors divided the globe into 5-degree by 5-degree latitude–longitude cells and, for each cell, summed the country-level World Risk Index (WRI) values attached to every qualifying disaster event. To qualify, an event had to have caused at least 50 reported fatalities, a screening threshold the researchers chose because mortality data are more consistently reported across countries than other EM-DAT variables. Indicators such as the number of people affected or the economic damage of a disaster vary widely in how nations define and estimate them, making cross-country comparison unreliable. Deaths, grim as the metric is, travel better across borders. Applying the threshold to EM-DAT’s 3,217 target events from the study period yielded 344 major disasters: floods dominated the sample at 58.1 percent of events, followed by storms at 22.7 percent, earthquakes at 9.9 percent and mass movements at 9.3 percent.

One of the study’s central technical challenges was spatial standardization. EM-DAT records many events only through textual descriptions of affected places, such as city and village names, and only earthquakes come with precise coordinates for every entry. Floods and storms can sweep across broad, discontinuous areas, complicating any attempt at grid-based aggregation. The researchers therefore applied a rule-guided manual procedure that converts each event into a single representative location anchor, constrained by the geography documented in the original record. When an event spanned multiple administrative units, one anchor was assigned to a single grid cell to avoid double-counting. The authors acknowledge that this point-based approach compresses the spatial footprints of geographically extensive hazards, and they tested its influence directly using the 2022 Pakistan floods, whose EM-DAT description supports locations across nine grid cells.

The choice of the World Risk Index as the contextual weight is central to the design. Published annually since 2011, the WRI expresses risk as the geometric mean of exposure and vulnerability, combining population exposed to hazards with measures of susceptibility, lack of coping capacities and lack of adaptive capacities. By multiplying recent event recurrence with this structural risk context, ARI captures something neither component reveals alone. In diagnostic comparisons across the 153 non-zero cells, ARI correlated moderately with an equivalent grid-level WRI (Spearman rank correlation of 0.698) and with an unweighted count of major events (0.697), but the overlap among the top-priority sets was far lower, with Jaccard similarities as low as 0.148 against the WRI-only reference. In other words, layering a decade of actual catastrophic events onto structural vulnerability reorganizes the upper tier of global priorities in a way that neither index achieves on its own.

The resulting hotspot geography is dominated by Asia. High ARI values concentrate around the Himalayas and along the coastal belts of South and Southeast Asia, where repeated major floods, tropical cyclones and earthquakes have accumulated within a single decade. Many of these clusters extend across national borders, reflecting the transboundary nature of riverine floods and cyclones. The study’s regional zoom-in illustrates the added value of the grid approach: in areas spanning multiple countries, the country-level WRI alone mainly reflects national background differences, while ARI differentiates neighbouring cells according to where events actually accumulated. Within large countries such as China, where the WRI is spatially uniform by construction, ARI still reveals marked subnational heterogeneity, pinpointing internal hotspots that national indices cannot see.

Perhaps the most compelling validation is temporal. The researchers deliberately excluded 2024 and 2025 from the indicator’s construction and then asked where major Asian disasters recorded in those two years actually occurred. Of 44 qualifying events, 24, or 57.1 percent, fell within the predefined global Top-14 ARI cells, compared with only 23.8 percent for the WRI-only reference. Under a strict equal-grid benchmark in an Asia-specific universe of 76 cells, the tie-inclusive Top-10 ARI set contained 22 of the 44 later events, an observed-to-expected ratio of 3.80 at the event level. The concentration was strongest in the most selective upper tail: the Top-5 ARI set captured later events at 5.53 times the equal-grid expectation, the highest ratio among all indicators tested. Unweighted event count became increasingly competitive as the retained set broadened, suggesting that the WRI weighting matters most when only a handful of regions can be prioritized.

Sensitivity analyses reinforce the robustness of the broad pattern. Varying the fatality threshold to 40, 60 or 70 deaths changed the number of non-zero cells, but 12 or 13 of the 14 baseline hotspots remained in the alternative Top-14 sets, with Spearman correlations to the baseline ordering between 0.880 and 0.907. Refining the grid from 5 degrees to 2.5 degrees increased non-zero cells from 153 to 218, yet 85.7 percent of the baseline hotspot cells contained at least one high-ARI finer-resolution child, indicating that refinement localizes the strongest signal within the broader hotspots rather than dissolving them. The Pakistan flood experiment showed that redistributing the event’s full WRI contribution of 26.45 equally across nine supported cells shifted individual ranks slightly but left the global Top-5, Top-10, Top-14 and Top-20 sets unchanged.

Beyond the mapping exercise, the study delivers a substantial practical resource: the 3H Dataset, a compilation of standardized high-resolution remote-sensing imagery assembled for the 14 hotspot grids. High-resolution, sub-metre visible-spectrum imagery is costly and unevenly available, particularly in developing countries where open-data coverage tends to focus on large cities or specific crisis events. Drawing primarily on the RAMP Building Footprint Training Dataset and the DigitalGlobe/Maxar Open Data Program, and acquiring supplementary imagery for two data-scarce grids, the researchers compiled 7,583,094 standardized TIF image tiles of 256 by 256 pixels each, with spatial resolutions ranging from 0.27 to 0.54 metres. All scenes were quality-screened, tiled and annotated with hotspot-grid identifiers, creating a traceable resource for building damage detection, exposure mapping and post-disaster recovery monitoring.

The authors are candid about the framework’s limits. Mortality-based screening emphasizes sudden-onset, high-fatality disasters and underrepresents events dominated by economic losses, cascading impacts or slow-onset processes such as drought. The single-anchor allocation simplifies the footprints of extensive hazards, and country-level WRI values cannot capture within-country variation or rapidly changing local conditions. ARI is also a static, retrospective measure that treats all events in the decade equally, regardless of recency. The researchers point to three directions for future work: temporally weighted formulations that account for event recency and recovery periods, footprint-aware allocation and multidimensional severity measures, and integration of projected hazard changes and socio-economic scenarios to link retrospective accumulation with forward-looking assessment.

Even with those caveats, the study offers policymakers, humanitarian organizations and researchers something existing global indices do not: a transparent, grid-based picture of where catastrophic events have actually piled up most heavily in the recent past, validated against where they continued to strike afterward. As climate change intensifies hazards and populations in vulnerable regions keep growing, tools that can narrow a planet of potential disaster zones down to a defensible shortlist of priority areas are likely to become increasingly valuable. The 14 hotspots identified here, stretching from the Ganges basin to the Philippine archipelago, now come equipped not only with a quantitative rationale for their selection but with the high-resolution imagery needed to study them street by street.

Subject of Research: Global multi-hazard disaster risk assessment using the Emergency Events Database and the World Risk Index

Article Title: Global disaster risk assessment from Emergency Events Database (2013–2023)

Article References: Kong, Q., & Zhu, E. (2026). Global disaster risk assessment from Emergency Events Database (2013–2023). Natural Hazards and Earth System Sciences, 26(10), 4881-4910. https://doi.org/10.5194/nhess-26-4881-2026

Image Credits: AI Generated

DOI: 10.5194/nhess-26-4881-2026

Keywords: disaster risk, EM-DAT, World Risk Index, hotspots, floods, earthquakes, remote sensing, Himalaya, Southeast Asia, vulnerability, multi-hazard, 3H Dataset

The research, led by Ingo Richter of the Japan Agency for Marine-Earth Science and Technology together with colleagues from institutions in Japan, the United States, Norway, and Brazil, rests on an unusually broad foundation of evidence. The team compared simulations of a pre-industrial climate with projections of a high-emissions future, known as scenario ssp585, drawn from 23 state-of-the-art climate models participating in the Coupled Model Intercomparison Project Phase 6, the same modeling framework that underpins the assessments of the Intergovernmental Panel on Climate Change. By contrasting these two worlds, one without human interference and one heated by sustained emissions, the researchers could isolate how the machinery of Atlantic variability itself changes when the planet warms.

The headline finding confirms a trend that earlier studies had already hinted at: the variability of sea-surface temperatures along the equatorial Atlantic, the signature of the Atlantic Zonal Mode, weakens under global warming. In plain terms, the Atlantic Niño becomes less intense, swinging less dramatically between warm and cold phases. Off the equator, by contrast, the picture is different, with sea-surface temperature variability tending to increase slightly in the flanking regions of the tropical Atlantic. That split result matters, because the equatorial mode is the one most tightly linked to the seasonal rains that farmers and water managers from Senegal to Angola depend upon, and its weakening has been flagged in previous work as a potential source of forecast uncertainty.

What makes the new analysis distinctive is its dissection of why the weakening occurs. The Atlantic Niño, like its Pacific counterpart, is sustained by the Bjerknes feedback, a self-reinforcing loop in which a warm anomaly in the eastern equatorial ocean weakens the prevailing easterly trade winds, which in turn suppresses the upwelling of cold subsurface water, further warming the surface. The study finds that this feedback is losing its grip. Contrary to some earlier projections, the team found that the mean-state equatorial Atlantic thermocline, the sharp vertical boundary between warm surface water and cold deep water, actually shoals slightly under radiative forcing, a change that should, on its own, strengthen the mode by making the surface more sensitive to subsurface dynamics. The decline of the Atlantic Niño therefore cannot be blamed on a deepening thermocline. Instead, the culprits are a weakening of the mean upwelling that supplies cold water to the surface and a reduced sensitivity of surface winds to sea-surface temperature anomalies, both of which blunt the Bjerknes feedback at its most critical links.

The second major discovery concerns the changing character of the mode’s forcing. In the pre-industrial simulations, the Atlantic Zonal Mode is driven primarily by dynamic forcing, meaning anomalies in surface wind stress that stir the ocean and rearrange its heat content. In the high-emissions future, the composites of Atlantic Niño events show that this dynamic pathway diminishes, while thermodynamic forcing takes on a more prominent role. Thermodynamic forcing operates through the exchange of heat at the ocean surface, particularly through latent heat flux, the energy carried away by evaporation, and through shortwave radiation, the sunlight that warms the upper ocean. In a warmer world, the Atlantic Niño becomes less a story of winds pushing water around and more a story of clouds, evaporation, and radiant heat reshaping the sea surface.

That shift in mechanism is tied to a striking change in the Atlantic’s relationship with the Pacific. The analysis reveals that the influence of the El Niño-Southern Oscillation on the Atlantic Zonal Mode strengthens under global warming, to the point that a positive correlation emerges between the two phenomena, with Pacific events preceding their Atlantic counterparts by roughly half a year. In today’s climate, the connection between El Niño and the Atlantic Niño has long been described as inconsistent and fragile, appearing in some decades and vanishing in others, a puzzle that has occupied tropical climate scientists for years. The new projections suggest that the greenhouse-warmed atmosphere will knit the two basins together more tightly, transmitting Pacific signals across Central America and the tropical atmosphere with greater reliability.

Two processes appear to explain this tightening bond. First, El Niño itself grows stronger in the high-emissions simulations, and a more powerful Pacific oscillator naturally broadcasts a louder signal into neighboring basins. Second, and perhaps more intriguingly, the weakening of the coupled air-sea feedbacks within the equatorial Atlantic leaves that ocean more susceptible to external forcing. A system whose internal feedbacks have gone quiet is one that listens more attentively to remote voices. When the Atlantic’s own Bjerknes feedback can no longer dominate its variability, the Pacific’s influence, arriving through atmospheric bridges such as shifts in the Walker circulation and changes in tropical tropospheric temperature, finds less resistance and leaves a clearer imprint on Atlantic sea-surface temperatures.

Paradoxically, this foreign domination may carry a silver lining for forecasters. A simple linear analysis performed by the team indicates that, in some of the models, the association of the Atlantic Zonal Mode with El Niño makes the Atlantic mode more predictable, even as its amplitude fades. The logic is straightforward: if a large fraction of Atlantic variability can be traced back to a Pacific precursor that emerges about six months in advance, then forecast systems that skillfully predict El Niño gain, for free, a measure of skill in predicting the Atlantic Niño. Seasonal prediction centers in Africa, Europe, and the Americas could eventually exploit this teleconnection to extend the useful lead time of rainfall outlooks for the Sahel, the Guinea Coast, and northeastern Brazil, regions where the Atlantic mode’s influence on the West African monsoon and coastal precipitation is well documented.

The study also underscores how much remains uncertain. The 23 models do not speak with one voice; the emergence of the ENSO-Atlantic correlation is clear in the ensemble but varies in strength from model to model, and tropical Atlantic simulations remain haunted by persistent mean-state biases that have plagued coupled models for decades. The researchers cross-checked their projections against observational and reanalysis products, including the ERA5 atmospheric reanalysis, the ORAS5 ocean reanalysis, and the HadISST sea-surface temperature dataset, all of which are publicly available, but the fundamental limits of simulating a basin as small and as seasonally locked as the equatorial Atlantic still apply. Whether the real ocean will follow the models’ script is a question that only the coming decades of observation can answer.

Still, the implications are hard to ignore. A tropical Atlantic that dances increasingly to the Pacific’s tune would alter the risk landscape for coastal fisheries, which are disrupted when the cold tongue fails to deliver its usual nutrient-rich upwelling, and for agricultural planners who rely on the statistical rhythms of Atlantic variability. It would also complicate attribution studies, since an Atlantic event that once looked like a local fluke may in the future be the distant echo of an El Niño half a world away. The research, published in Climate Dynamics as volume 64, article 450, offers both a warning and a tool: the Atlantic Niño of the future may be weaker and less self-reliant, but by borrowing predictability from the Pacific, it may also become a signal that humanity can see coming with more confidence than ever before.

Subject of Research: Projected changes in tropical Atlantic sea-surface temperature variability and its coupling to ENSO under global warming

Article Title: Strengthened tropical Pacific influence on tropical Atlantic variability in global warming projections

Article References: Richter, I., Chang, P., Kataoka, T., Kido, S., Keenlyside, N., Kosaka, Y., Okumura, Y., Tokinaga, H., Tozuka, T., & Vilela, I. (2026). Strengthened tropical Pacific influence on tropical Atlantic variability in global warming projections. Climate Dynamics, 64(11), Article 450. https://doi.org/10.1007/s00382-026-08390-y

Image Credits: AI Generated

DOI: 10.1007/s00382-026-08390-y

Keywords: Atlantic Niño, Atlantic Zonal Mode, ENSO, CMIP6, Bjerknes feedback, tropical Atlantic, sea-surface temperature, climate change, thermocline, seasonal prediction, Walker circulation, Climate Dynamics

The timing of the work is no accident. As international climate diplomacy has advanced on the loss and damage agenda, mechanisms such as the Santiago Network and the Fund to Respond to Loss and Damage have been created to channel knowledge, technical support, and financing to affected countries. Yet a persistent bottleneck remains: before money can flow, losses must be quantified, and existing assessment methods are often slow, aggregated, and blind to the most vulnerable. The new framework, developed by researchers at the University of Cologne, United Nations University, and partner institutions, is built specifically to close that gap between disaster and decision.

At its core, the framework operates in two phases. The first is preparation before any disaster strikes. Through structured workshops, stakeholders from five groups—government, civil society, academia, the private sector, and nongovernmental or international organizations—jointly build a participatory asset inventory, identifying which buildings, roads, power lines, drainage systems, and informal settlements matter most, and estimating their replacement values. This inventory is then integrated into CLIMADA, an open-source climate risk modeling platform that combines hazard, exposure, and vulnerability. Asset-specific impact functions, which describe how each asset type responds to rising flood depth, are calibrated against historical damage records using techniques such as Bayesian optimization, so that the model is ready to run the moment a new event occurs.

The second phase springs into action after the floodwaters rise. Pre- and post-event satellite imagery is processed with change-detection algorithms, including those based on the normalized difference surface water index, to identify newly inundated areas. The resulting flood footprint—its extent and estimated depth—is overlaid on the pre-established asset inventory, and CLIMADA generates event-specific estimates of losses and damages within days. The framework draws a deliberate distinction between losses, meaning irreversible impacts such as fatalities or permanently destroyed assets, and damages, meaning repairable impacts. Quantitative thresholds separate the two: housing and public buildings are classified as lost when damage exceeds 80 percent, while roads cross into loss territory at 90 percent, a cutoff grounded in pavement condition research.

Satellite-based flood mapping, however, is far from straightforward, and the Honduran case study exposed the method’s limits in vivid detail. Persistent cloud cover rendered most optical imagery from Sentinel-2 and Landsat unusable, forcing the team to rely on Sentinel-1 synthetic aperture radar, which penetrates clouds and darkness. But radar has its own problems: in dense urban areas and vegetation, radar scattering and geometric distortions cause flood extents to be underestimated. The 9,100-hectare extent retrieved from Sentinel-1 was likely too small, and several locations documented as damaged in municipal reports fell outside the satellite-derived flood zones entirely.

The researchers responded with a hybrid, multi-source reconstruction. Radar and optical imagery were supplemented with hydraulic model simulations from the iPresas model, ground-based assessments, and municipal records. Where gaps remained along the banks of the Chotepe and Blanco rivers—zones where neither satellites nor the hydraulic model captured full inundation—the team manually added a 100-meter buffer guided by reported damage patterns. Flood depths were drawn primarily from the hydraulic model, with additional estimates from a United Nations University flood model where data were missing. The lesson, the authors argue, is that no single data source suffices; realistic flood footprints in data-scarce settings emerge only from weaving together observations, models, and local knowledge.

When the framework was applied retrospectively to San Pedro Sula, Honduras’ second-largest city and industrial heartland, the results were revealing. The city, which sits at the confluence of three rivers and hosts sprawling informal settlements such as Los Bordos along the Chotepe and Blanco riverbeds, bore the brunt of both storms: the Cortés department accounted for 55 percent of the nationally affected population and 40 percent of damaged housing. Modeled estimates generally ran higher than reported values, particularly in monetary terms, but unit-level impacts aligned reasonably well with observations. Most strikingly, the model’s estimate of fatalities—derived by applying a mortality fraction of one death per 3,000 exposed residents, based on a recent lower-middle-income country dataset—closely matched the 20 fatalities recorded by Honduras’ disaster agency, COPECO.

The disaggregation of impacts into losses and damages uncovered patterns that aggregate assessments conceal. Informal housing suffered the greatest physical destruction, with up to 80 percent of units in some flood-prone settlements estimated as irreparably damaged, a finding corroborated by displacement assessments from the International Organization for Migration even though official records never specified destroyed units. Formal housing, by contrast, lost fewer than 1.5 percent of units, yet absorbed 75 percent of its economic impact as losses, because the high replacement value of formal structures means that even limited destruction carries enormous financial weight. The airport incurred substantial economic losses from operational disruption without any single asset crossing the destruction threshold. These contrasts, the authors note, point to different policy responses: financial instruments such as insurance and contingency funds for high-value formal assets, and targeted social protection and infrastructure upgrades for marginalized settlements.

The framework also offers an entry point into one of the most contested corners of climate policy: non-economic losses and damages, the impacts that resist monetary valuation, from loss of life and cultural heritage to biodiversity and social cohesion. By estimating the number of people affected—defined as residents of housing units intersecting the flood footprint—and projecting fatalities, the model captures dimensions of disaster impact that pure economic accounting misses. The authors suggest the approach could be extended to affected users of public facilities, such as patients and students, and point to recent applications of CLIMADA in assessing tropical cyclone risks to ecosystems and modeling climate-driven internal migration as evidence of the platform’s broader potential.

Scalability may prove the framework’s most consequential feature. It relies entirely on open-source tools—CLIMADA, Google Earth Engine, OpenStreetMap, and freely available satellite data—meaning no proprietary software or expensive licenses stand between a disaster-stricken municipality and an evidence-based estimate. The main investment is upfront: building the participatory inventory, hazard model, and calibrated impact functions before disaster strikes. The San Pedro Sula case showed this groundwork paying off, since a 2019 joint workshop between the municipality and United Nations University had already produced the asset inventory, flood model, and impact functions that made rapid retrospective estimation possible. The authors caution that the framework complements rather than replaces field assessments, and that sensitivity analyses show classification thresholds matter—shifting the housing depth threshold by half a meter changes estimated losses by roughly 15 percent. But as climate diplomacy moves from pledges to payouts, the ability to produce transparent, spatially explicit, and community-informed estimates within days of a flood may prove exactly the tool the moment demands.

Subject of Research: A participatory modeling framework for rapid post-flood loss and damage estimation

Article Title: A Participatory Modeling Framework for Rapid Estimation of Loss and Damage Following Flood Disasters

Article References: Rojas Ferreira, A., Daou, D., Guayacán Ardila, L., Gersch-Souvignet, M., Braun, B., & Nehren, U. (2026). A Participatory Modeling Framework for Rapid Estimation of Loss and Damage Following Flood Disasters. International Journal of Disaster Risk Science. https://doi.org/10.1007/s13753-026-00771-5

Image Credits: AI Generated

DOI: 10.1007/s13753-026-00771-5

Keywords: loss and damage, floods, CLIMADA, participatory modeling, satellite remote sensing, disaster risk reduction, Hurricanes Eta and Iota, Honduras, San Pedro Sula, non-economic losses, climate finance, open-source modeling

The team, led by Mohammad Merheb of Institut Agro and INRAE in Rennes, France, together with colleagues from Montpellier and Imperial College London, assembled a database of 3,507 individual hydrometeorological records drawn from existing historical databases and published compilations. The sources behind these records are remarkably diverse. They include the annals of court chroniclers such as Ibn Al-Qalanisi of Damascus, who died in 1160, and Ibn Kathir, who wrote in the fourteenth century, as well as diaries like that of Ibn Tawq, a fifteenth-century Damascene whose daily jottings yielded more than 7,000 climate and environmental observations for the years 1481 to 1501 alone. Other records come from compilations of natural disasters in the medieval Levant and Egypt, and from coded datasets such as the Grotzfeld collection, which spans the Near and Middle East from 801 to 1821 CE.

Raw historical quotations, however, are not climate data. The core methodological achievement of the study lies in harmonization. Each of the 3,507 records was standardized according to three dimensions: the type of event described, whether drought, flood, heavy rainfall, or another hydrometeorological phenomenon; an intensity index that translates qualitative descriptions into a semi-quantitative scale; and the geographic location of the observation. This unified structure allowed the researchers to aggregate event frequencies by decade and to assess how well documented each period and place actually was. That coverage assessment matters enormously, because historical archives are notoriously biased toward times and places where literate elites had both the incentive and the leisure to write things down.

The spatial and temporal unevenness the team uncovered is striking. Documentation is densest and most continuous in Damascus, a city whose long tradition of chronicling, from Ibn Al-Qalanisi through Ibn Tulun in the early sixteenth century, produced an exceptionally rich written memory of weather and water. Other parts of the Levant appear only sporadically, often only when a disaster severe enough to merit mention struck. This unevenness shapes what the dataset can and cannot do. For most of the region and most of the period, the records offer snapshots rather than continuous series. But for Damascus between 1250 and 1520 CE, the density of long-term precipitation and flood records is sufficient to analyze variability at the decadal scale, and in some cases even at the seasonal scale.

The crucial test came when the researchers compared their documentary evidence with an independent, physically based source of paleoclimate information: the Old World Drought Atlas, or OWDA, a tree-ring-based reconstruction that provides summer Palmer Drought Severity Index values, or PDSI, across Europe, the Mediterranean and the Middle East for the past two millennia. Tree rings encode moisture stress in their growth rings, giving annually resolved reconstructions that are completely independent of what any medieval scribe wrote. If the two archives disagree systematically, the documentary records might reflect local anecdote, literary convention, or copying errors rather than real climate. If they agree, both are likely capturing genuine hydroclimatic signal.

To make the comparison rigorous, the team derived a dryness index directly from the historical descriptions, classifying episodes of drought and water scarcity recorded in the texts, and then evaluated the relationship between the documentary index and the OWDA-derived PDSI for Damascus using conditional probability. The analysis showed relative coherence between the two datasets: when the chronicles reported dry conditions, the tree rings tended to indicate drought as well, and vice versa. This agreement is significant because it validates, for the Levant, an approach that historical climatologists have applied successfully in Europe and China but that has remained comparatively underdeveloped in the eastern Mediterranean, where the documentary traditions, languages and archival conditions differ substantially.

One of the most intriguing findings emerged from the seasonal analysis of the historical records. Most of the dry episodes documented in the texts occurred during the winter and autumn rainy seasons, the very months on which the Levant depends for nearly all of its annual precipitation. In a region with a Mediterranean climate, where summers are reliably dry and agriculture hinges on the October-to-May rainy season, a failure of autumn or winter rains is not a minor inconvenience but a threat to harvests, water supplies and, historically, to political stability. The chronicles’ emphasis on these events suggests that medieval observers were recording precisely the hydrometeorological anomalies that mattered most to their societies, which in turn makes their testimony especially valuable for reconstructing drought variability.

The study’s implications reach beyond medieval history. The Levant is one of the world’s most water-stressed regions today, and climate projections generally indicate increasing aridity and greater hydrological variability in the decades ahead. Understanding how precipitation and drought behaved over the past sixteen centuries provides a baseline against which modern changes can be measured, and it extends the observational record far beyond the instrumental era, which in this region barely stretches back a century. Documentary records can also capture extreme events, such as destructive floods, that may be poorly represented in tree-ring reconstructions, which respond primarily to moisture stress rather than to individual episodes of heavy rainfall.

The authors are candid about the limitations that remain. The spatial distribution of surviving documents is highly uneven, concentrating evidence in a handful of urban centers while leaving much of the rural Levant in darkness. Many potential sources remain inaccessible or unexamined, and unlocking them requires proper curation by historians with the linguistic and paleographic skills to read Arabic, and other historical manuscripts in their original forms. The study is, in this sense, as much an argument for interdisciplinarity as it is a climate reconstruction: without collaboration between hydrologists and historians, a large fraction of the region’s environmental memory would stay locked in archives that scientists rarely visit.

Even with those caveats, the research demonstrates that fragmented documentary evidence, when systematically harmonized and analyzed, can yield partially consistent, semi-quantitative indicators of past hydroclimatic variability. The 3,507 records compiled here represent a foundation that can be expanded as more chronicles are transcribed, translated and coded, and as datasets like tambora.org continue to grow. For a region whose water future is uncertain, the meticulous observations of medieval scribes, cross-checked against the silent testimony of tree rings, offer a rare and precious long view of drought and flood, one written in ink but verified in wood.

Subject of Research: Historical documentary records of hydrometeorological events in the Levant compared with paleoclimate reconstructions

Article Title: Characterization of hydrometeorological events from historical records in the Levant (200–1850 CE) compared to paleoclimate reconstructions

Article References: Merheb, M., Moussa, R., Hamelin, G., Lemoine, N., & Cudennec, C. (2026). Characterization of hydrometeorological events from historical records in the Levant (200–1850 CE) compared to paleoclimate reconstructions. Regional Environmental Change, 26(4), Article 200. https://doi.org/10.1007/s10113-026-02693-w

Image Credits: AI Generated

DOI: 10.1007/s10113-026-02693-w

Keywords: historical climatology, Levant, Damascus, drought, floods, Palmer Drought Severity Index, Old World Drought Atlas, documentary sources, paleoclimate reconstruction, medieval chronicles, hydrometeorology, Regional Environmental Change

The research by Thomas Fetzer and Piyush Garg examines how disasters cross the boundary between a domestic event and a global news story. When a catastrophe occurs, journalists and editors must decide whether it matters to audiences in other countries. That decision is rarely based on physical damage alone. A disaster may become internationally prominent when it affects a strategically important country, involves foreign citizens, disrupts trade or transport, or occurs in a place that already receives extensive media attention. By contrast, equally severe events in less connected or less frequently covered regions can struggle to attract sustained reporting.

To investigate this pattern, the researchers compare information about natural disasters with the volume and distribution of media coverage across countries. Such an approach allows them to distinguish between the occurrence of a disaster and its visibility in the international information system. Disaster databases can record characteristics such as location, timing, hazard type and human consequences, while large-scale news archives can reveal which countries report on an event, how often they do so and how quickly coverage appears. The comparison provides a way to measure what might be called cross-border media attention: reporting generated outside the country where the disaster occurred.

The technical challenge is that media coverage is not a simple count of articles. A single event may be reported repeatedly by international wire services, translated into several languages, republished by local outlets or mentioned briefly in broader stories. Researchers therefore need to account for duplication, differences between national media systems and variations in the amount of news produced in each country. Statistical models can then estimate how much coverage would be expected from the severity and location of a disaster, while testing whether other factors explain why some events receive more attention than others. This framework turns an apparently subjective question—why did one disaster become global news?—into a measurable problem.

The study’s central message is that international reporting follows an uneven geography. Countries are not equally visible to one another, even when they experience comparable hazards. Media attention tends to be stronger where nations are geographically close, economically connected or linked by political and social relationships. Shared borders can make a disaster more newsworthy because audiences may fear consequences at home, while trade and investment ties can raise the perceived importance of disruption abroad. Historical relationships, migration links and the presence of foreign nationals may also create editorial incentives to follow an event more closely.

This does not mean that the physical scale of a disaster is irrelevant. Large death tolls, extensive displacement and damage to infrastructure can all increase the probability that a disaster will be covered internationally. Events that threaten major cities, affect energy supplies or interrupt transportation networks may also generate rapid attention. But the analysis indicates that impact alone does not determine visibility. Two disasters with similar consequences can produce very different patterns of international reporting, depending on where they occur and which countries are watching. In this sense, the global news system filters humanitarian emergencies through a network of national interests.

The imbalance has consequences beyond public awareness. Media coverage helps determine which crises become subjects of political debate, charitable appeals and international assistance. When an event receives little reporting abroad, audiences in wealthier or more distant countries may never learn its scale, and policymakers may face less pressure to respond. Visibility can therefore become an indirect resource, distributed according to connections that have little to do with need. The result is a potential gap between the geography of suffering and the geography of attention: the places experiencing the greatest hardship are not necessarily the places most likely to appear in foreign news.

The findings also illuminate how modern news ecosystems can amplify existing inequalities. International outlets frequently depend on wire services, established correspondents and local partners. These networks make it easier to report from countries where media organizations already have staff, reliable communication channels and institutional familiarity. In regions with limited news infrastructure, censorship, language barriers or weak digital connectivity, information may arrive more slowly or be harder to verify. Algorithms on search engines and social-media platforms can further reinforce the pattern by promoting stories that already attract engagement, causing early visibility to snowball into even greater visibility.

For scientists and humanitarian organizations, the research offers a warning about using media attention as a proxy for disaster importance. News counts are sometimes treated as indicators of public concern, crisis severity or international salience, but they may reflect the structure of global relationships as much as the underlying event. A better monitoring system would combine journalistic data with independent measures of damage, mortality, displacement and recovery needs. Automated tools such as natural-language processing could help identify underreported disasters across languages, while satellite observations and local reporting could provide evidence when international coverage is sparse.

The study does not suggest that every disaster should receive identical coverage or that news organizations can eliminate editorial judgment. Rather, it shows that the pathways through which information travels are systematically unequal. Recognizing those pathways may help editors, platforms and aid agencies ask a crucial question before the next catastrophe: is this event receiving attention because it is exceptionally severe, or because it occurred in a country the world is already prepared to watch? In an era of intensifying climate hazards and increasingly interconnected economies, answering that question could determine which disasters become global emergencies—and which remain largely unseen.

Subject of Research: Uneven cross-border media coverage of natural disasters and the factors shaping international news attention.

Article Title: Uneven patterns of cross-border media coverage following natural disasters

Article References: Fetzer, T., Garg, P. Uneven patterns of cross-border media coverage following natural disasters. Nature Human Behaviour (2026). https://doi.org/10.1038/s41562-026-02512-6

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41562-026-02512-6

Keywords: natural disasters, cross-border media coverage, international news, media attention, disaster inequality, global communication, humanitarian response, news visibility