The Indus River Basin has undergone significant hydrological changes due to climate change, leading to increased flood frequency, posing a risk to agriculture-based food security. This study focused on rain-induced flood events from August to September 2022 across the provinces of Punjab, Sindh, and Baluchistan using Google Earth Engine, Sentinel-1A Synthetic Aperture Radar (SAR) data, and Landcover datasets. Flooding caused considerable damage to agricultural land and communities, affecting 49,602.92 km2 of land. In Sindh, the total land inundated is 2,042.1 km2 with 915.9 km2 of agricultural land and 609.8 km2 of built-up areas affected. Hence, district-level damage assessment includes Sukkur (497.1 km2), Sanghar (565.2 km2), and Khairpur (979.9 km2). In Baluchistan province, the flooded area was 10,733.4 km2. The agricultural land affected was 674.8 km2, and 47.8 km2 of built-up land. Heavy rain further intensified flooding affected 1002.2 km2 in Jhal Magsi, 7,266.5 km2 in Khuzdar, and 2,464.7 km2 in Lasbella. In Punjab, 4001.3 km2 of land flooded including 297.6 km2 of built-up areas, and 776.9 km2 affected agricultural land. At the District-level affected areas were D.G. Khan (1,871.3 km2), Muzaffargarh (620 km2), and Rajanpur (1,509.7 km2). integration of remote sensing and GEE provided crucial flood insights and climate risk reduction strategies, especially in data-scarce regions.

1. Plant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. 2. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin anew generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. 3. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38% of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. 4. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. 5. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1% of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. 6. Synthesis.We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer.

PurposeWe examined how different narrative aspects related to the COVID-19 pandemic influenced unvaccinated individuals' willingness to vaccinate (WTV) against a future virus. We tested whether the stories focused on the perspective of the actor (who chose to vaccinate or not) versus the affected (affected by that decision), framing the outcome as death versus survival, and presenting an identified individual versus an unidentified group.MethodsA total of 1,545 respondents read scenarios depicting individuals' (actors') decisions to either vaccinate against COVID-19 or refuse vaccination, alongside the framing of the consequences for the affected individuals: death versus survival. The protagonists were either identified by name and photo or described as a group of unidentified people. Participants reported their emotions, perceived risk from the virus and the vaccine, and their future WTV against a new virus. They also reported their past vaccination decisions.ResultsWhen the narrative focused on affected individuals, framing outcomes in terms of death increased WTV by heightening the perceived threat of the virus. Conversely, when the focus was on the actor, the lifesaving frame was more effective, especially when the actor was identified. A concrete case of someone vaccinated who saved others evoked positive emotions, boosting WTV.LimitationsOur hypothetical scenarios and the cross-sectional methodology might limit understanding of the long-term effects.ConclusionsScenarios highlighting a person who died increase the perceived threat of the virus and enhance WTV. Conversely, information about a person who was vaccinated and saved others boosts positive emotions and increases WTV.ImplicationsPublic health campaigns can boost vaccination by sharing stories of vaccinated individuals who saved lives, evoking positive emotions. Highlighting the virus's dangers can also raise the perceived threat and motivate uptake.HighlightsVariations in narratives influence unvaccinated individuals' willingness to vaccinate.Emphasizing the death of those affected evokes greater threat perception of the virus, enhancing vaccine intent.Personal stories of vaccinated individuals saving others can boost positive emotions and vaccination willingness.

1. Many vertebrates that live in seasonal climates moult once or twice a year, with the effect of refreshing worn coat or plumage, increasing insulation or improving camouflage. The timing of moult may be in response to a variety of cues, but because it is costly, it is also likely to reflect the health and wellbeing of individuals, here referred to as their condition. 2. Here, in the individually-monitored red deer from the Isle of Rum, in which summer and winter coats are easily distinguished, we a) test for traits that are predictive of moult timing, b) explore traits that moult timing is predictive of and c) analyse covariances between moult timings and calving dates at the individual, annual and residual level. 3. We show that adult female moult timing in July and November is associated with age, reproductive status and parasite burden, and has been getting earlier over time in November. A female’s moult status also predicts the overwinter survival of herself and her current calf as well as her future fecundity. Moult timing varies among individuals and years, and covariances between calving dates and the timing of each moult sheds light on the temporal patterns of condition within individuals and across years. 4. The timing of moult appears to be a non-invasive measure of condition. Monitoring moult timing across years at the population level may shed light on year-to year variation in population health and variation within populations is likely indicative of the relative conditions among individuals. Increased knowledge of population and individual condition may be of benefit for ungulate population management and conservation.