Informing livestock climate services through Herders’ climate perceptions and adaptation strategies in Benin

How does team service climate cultivate employees' improvisation ability in hospitality? A broaden-and-build theory perspective

Perceptions of registered nurses in the ambulance service in Sweden on their psychosocial work environment - A cross sectional study.

Abstract Rangelands cover over 50% of the land surface area in the Western U.S., providing important economic, social, and environmental benefits. The resilience of western rangelands, however, is increasingly threatened by climate change impacts. Although climate skepticism among agricultural producers is often cited as a barrier to adaptation, emerging evidence suggests that producers adapt regardless of climate beliefs. This raises critical questions about the relationship between climate beliefs and adaptive behavior. To investigate this relationship, we conducted semi-structured interviews with 23 ranchers in Idaho, Montana, and Oregon, to examine how they perceive, experience, and adapt to climate change. We found that ranchers’ understanding of climate change is more complex than a binary belief in or rejection of climate change. Most ranchers doubted anthropogenic climate change yet described detailed observations of a changing climate. Ranchers adopted a range of adaptation strategies but did not attribute these behaviors to climate change. We identified recurring themes, including climate politicization, regulatory fear and perceived powerlessness, and reframing of responsibility, that illustrate the sociopolitical context shaping these seemingly contradictory positions. Climate skepticism may function as a mechanism for managing dissonance, allowing ranchers to reconcile personal observations of environmental change with dominant community beliefs while preserving their personal identity. Our findings challenge binary framings of belief and behavior and highlight the need for culturally grounded climate communication strategies. We recommend investments in localized climate services, co-produced policies, and outreach that emphasizes the co-benefits of adaptation and risk management while aligning with ranchers’ values and identities.

ABSTRACT Natural building offers considerable potential to reduce embodied carbon while making housing and material choices a critical arena for climate action. This study investigates how aesthetic experience in natural building environments can foster public participation and support low-carbon housing practices. Focusing on the Family of Four natural building pavilion at the 2018 Taichung World Flora Exposition, the analysis examines how visitors perceived natural materials and how these perceptions influenced their willingness to engage in everyday building and living practices. Data were collected through 34 semi-structured interviews and analyzed using the M – C – D – L (Material, Construction, Design, Lifestyle) framework. Principal component analysis (PCA) and K-means clustering identified three participant types exhibiting distinct levels of practice willingness. The findings reveal that natural building aesthetics function not only as sensory and cultural values but also as a participatory form of climate communication. By linking beauty, behavior, and housing futures, aesthetic experience operates as a climate service that makes low-carbon living emotionally legible and socially desirable. The study contributes to socially and culturally grounded architectural research by framing natural building as both a material technology and a participatory practice, aligning with the United Nations Sustainable Development Goals on cities, consumption, and climate action.

Climate oscillations such as the El Niño-Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and North Atlantic Oscillation (NAO) significantly influence global weather variability, posing challenges to agricultural productivity and food security. Their impacts−ranging from altered rainfall patterns to temperature extremes−disrupt crop growth, especially in rainfed systems. Understanding these oscillations is vital for enhancing yield prediction and informing adaptive agricultural planning. This review synthesizes mechanistic insights and empirical findings from peer-reviewed literature on the influence of ENSO, IOD and NAO on crop yields across major agro-climatic zones. It also evaluates predictive tools, including statistical models, dynamic crop simulations and AI-driven forecasting systems. Crop-specific vulnerabilities and regional disparities in oscillation impacts were systematically analyzed to assess adaptation needs. Findings reveal that ENSO, IOD and NAO generate region-specific yield anomalies by modulating soil moisture, evapotranspiration and phenological development. Crops such as rice, maize and wheat exhibit heightened sensitivity during key growth stages under oscillation-driven stressors. Modern forecasting models incorporating oscillation indices improve predictive accuracy and provide early warnings for yield variability. However, gaps remain in translating forecasts into actionable farm-level decisions, especially in resource-limited regions. To build agricultural resilience, integrating oscillation-based forecasts into local advisory services, promoting climate-smart practices and adopting inclusive, region-specific adaptation strategies are essential. Bridging science-policy gaps and strengthening climate services will support anticipatory planning and safeguard food systems under increasing climate variability.

ABSTRACT This review paper examines the development and application of climate predictions, primarily at seasonal timescales, as actionable information for decision‐making, with a specific focus on the Mediterranean region. It illustrates and analyses the steps required to transform climate model probabilistic forecasts into user‐defined information, emphasising the iterative nature of climate service development. By leveraging tools such as bias adjustment, downscaling, probabilistic calibration and impact models, these services provide tailored solutions to key sectors including energy, water supply, transport and agriculture. The paper discusses the contributions of global initiatives, such as the Global Framework for Climate Services (GFCS), and EU‐funded projects like EUPORIAS, MEDSCOPE and MED‐GOLD, which have advanced sector‐specific applications of climate predictions in the region. These initiatives illustrate how tailored climate services can address critical challenges ranging from renewable energy planning to drought risk mitigation and agricultural yield forecasting. The review highlights persistent challenges, including limited forecasting skill in the Mediterranean area, data accessibility issues and the need for robust impact‐based verification. To enhance the uptake and effectiveness of climate services, the review recommends fostering interdisciplinary collaboration, promoting iterative co‐production with users, improving the communication of uncertainty and forecast skill, and ensuring the sustainability of services beyond project lifetimes. This work underscores the potential of climate services to enhance resilience in the Mediterranean region, bridging the gap between scientific advances and practical applications.

Climate variability and climate change have increased the exposure of family farming systems to extreme events and production uncertainties, reinforcing the need for accessible decision-support tools. This study analyzes the experience of the Naviraí Climate Bulletins, a weekly local climate service initiative grounded in observational data and numerical forecasts. The methodology integrated: (i) monitoring of precipitation, minimum and maximum temperatures, and wind speed through an automatic weather station operated by Embrapa at IFMS – Naviraí Campus; (ii) short-term forecasts from CPTEC/INPE based on multiple numerical models (Multimodel, WRF, BRAMS, BAM, and Eta); (iii) studio-based audiovisual production; and (iv) dissemination via WhatsApp groups and an institutional Instagram account. Between February 2025 and February 2026 (53 weeks), the Instagram profile recorded 56,709 total views, with a weekly average of 1,070 views, a median of 1,027, and a peak of 3,259 views in a single week. After an initial implementation phase, digital reach showed consistent consolidation, with 86.8% of weeks surpassing 500 views. The findings indicate strengthened science–society interaction, expanded informational outreach, and qualitative evidence of practical use in crop calendar adjustments and preventive management. The study concludes that digital climate bulletins constitute a viable local adaptation strategy to climate change, contributing to regional sustainability and productive resilience.

Climate change poses significant risks to climate-sensitive sectors in Tanzania, underscoring the need to mainstream adaptation measures such as climate services through effective governance mechanisms that enhance resilience. Climate services, which translate climate information into actionable decision-making, have become critical tools for preparedness and vulnerability reduction. However, their integration into political processes, particularly electoral platforms, remains underexplored. This study investigates how climate services are articulated, prioritised, or omitted within the political party manifestos of Tanzania across three general election cycles: 2015–2020, 2020–2025, and 2025–2030. Guided by agenda-setting theory and principles from the Global Framework for Climate Services, the research employs qualitative content analysis of party manifestos, complemented by expert perspectives gathered during the 2025–2030 election cycle. The analysis focuses on three major political parties that shape national electoral competition and policy debates in mainland Tanzania and Zanzibar: Chama Cha Mapinduzi (CCM), Alliance for Change and Transparency – Wazalendo (ACT-Wazalendo), and Chama cha Demokrasia na Maendeleo (CHADEMA). Findings reveal uneven integration of climate services across parties and election periods. CCM demonstrates incremental progress, increasingly embedding climate change within its development agenda, though its approach risks being supply-driven, limiting user relevance and uptake. ACT-Wazalendo shows the most substantive advancement, embedding climate services comprehensively in its 2025–2030 manifesto through proposals for district-level climate service centres, enhanced information systems, and user-centred approaches. In contrast, CHADEMA’s 2020–2025 manifesto acknowledges climate resilience but omits climate services entirely, and its absence from the 2025 election restricts longitudinal comparison. Overall, the study highlights growing but inconsistent political recognition of climate services in Tanzania. It underscores the need for stronger political commitment, institutional capacity, and evidence-based advocacy to ensure climate services are mainstreamed within governance and development agendas, thereby strengthening national resilience to climate risks.

This article describes a capacity-building initiative in Posadas, Misiones, Argentina, focused on training non-meteorological agents for co-creating climate services. Through a comprehensive training course in 2024 for multisectoral actors, participants gained knowledge about sustainability and learned to develop indicators tailored to local realities. Leveraging the expertise of researchers, the project applied WMO’s Competency Frameworks for providing Climate Services to various territorial actors, ensuring tailored solutions. The initiative fostered a dynamic space for stakeholder exchange, facilitating collaboration and innovative approaches to addressing climate challenges. Insights from this dual-purpose initiative, a capacity-building workshop and an early co-creation stage shed light on the importance of grassroots engagement, community involvement, and interdisciplinary collaboration in promoting sustainability and resilience in the face of climate variability and change. The research results highlight how meteorological and climatic conditions impact various sectors, providing insights into sector-specific vulnerabilities and challenges. Additionally, the study identifies adaptation measures across different time scales, addressing both short-term responses and long-term strategies to enhance resilience.

High school adolescents are in a vulnerable developmental phase towards emotional and behavioral problems due to rapid biological, cognitive, and social changes. Limitations in emotional management can trigger the emergence of problematic behavior, such as aggressiveness, violations of school rules, conflicts with peers, and bullying, both directly and through digital media. This article aims to analyze problematic behavior in high school adolescents from the perspective of emotional conditions. This study used a qualitative approach with a literature review method of 20 national and international scientific articles obtained through Google Scholar and analyzed descriptively-thematically. The results of the study indicate that adolescent problematic behavior is influenced by the interaction of individual, family, school, and social environment factors that are increasingly complex. Low emotional regulation and emotional intelligence increase the tendency for maladaptive behavior, while family support, a conducive school climate, and Guidance and Counseling services act as protective factors. Therefore, a holistic and sustainable approach is needed through strengthening emotional intelligence, preventive Guidance and Counseling services, and the development of life skills to support the social-emotional development of adolescents.

Abstract Accurate and reliable precipitation data are critical for hydrological planning, disaster risk reduction, and climate adaptation in West Africa, where livelihoods are closely tied to seasonal rainfall. However, limited ground‐based observations constrain monitoring, early warning, and decision making. This study presents the first long‐term (2005–2020), station‐based evaluation of satellite rainfall products, including Tropical Applications of Meteorology using SATellite data and ground‐based observations, version 3.1 (TAMSAT v3.1), Climate Hazards Group InfraRed Precipitation with Station data, version 2 (CHIRPSv2), CHIRPS version 3 blended with the European Centre for Medium‐Range Weather Forecasts Reanalysis v5 (CHIRPSv3‐ERA5), and CHIRPS version 3 blended with Integrated Multi‐satellitE Retrievals for the Global Precipitation Measurement mission (CHIRPSv3‐IMERG) in Benin, using data from 49 meteorological stations across three climatic zones. Validation was carried out on dekadal, monthly, and seasonal timescales, with additional focus on the detection of rainy days, heavy rainfall events, and extreme months. CHIRPSv3 products and TAMSAT v3.1 performed best in the dry northern zone. TAMSAT v3.1 and CHIRPSv3‐IMERG achieved a better balance between detection skills and false alarms. However, rainfall extremes were generally underestimated. Overall, satellite precipitation products are valuable for climate services in data‐scarce regions. This study provides operationally relevant evidence to support the selection of rainfall datasets in Benin and similar West African contexts.

Abstract The disproportionate impacts of climate change on frontline communities become further amplified when inadequate provision of climate services leads to limited support around climate risks and adaptation measures. To better understand the state of climate services available to Native American Tribes, we surveyed Tribal climate service users and providers across the contiguous United States and Alaska. The survey assessed the availability and usefulness of 28 distinct climate services available to Tribal entities and asked how these services could be improved. Responses show Tribal users value a wide range of climate services, with grants, tools, trainings, and network rated highest. Responses also show climate services are provided more frequently for earlier stages of the adaptation cycle (e.g., planning), while fewer services are provided for later stages (e.g., implementation). However, implementation, monitoring, and evaluation were identified as planned or in progress for most Tribal respondents, suggesting growing need for climate services that support later adaptation stages. Tribal respondents also described many climate services as being inaccessible and a poor fit to their needs. Data tailored to Tribal priorities and a centralized location for simplified climate services were among the most frequent suggestions for improvement offered by Tribal respondents. Tribal respondents also identified the need for additional funding and staff capacity to carry out climate preparedness activities. Our findings may be used by a wide range of climate service providers to better support Tribes in their resilience efforts, particularly by engaging with Tribes to codevelop climate services tailored to Tribal needs. Significance Statement To better understand the state of climate services available to Native American Tribes, we conducted a survey of Tribal climate service users and providers. Our findings identified gaps and opportunities for better supporting Tribal climate adaptation efforts. We found that Tribal respondents value a wide range of climate services, with grants, tools, trainings, and networks rated highest. However, Tribal respondents also expressed a need for more tailored and accessible data that are relevant to Tribal decision-making, including climate information tailored to geographic domains unique to Tribes. These results suggest that as Tribes advance their climate adaptation efforts, there is opportunity to increase coordinated action among climate service providers to codevelop climate services tailored to Tribal needs.

Abstract This study elaborates on the (thermo)dynamical drivers of the second highest daily rainfall amount in historical records in the largest Ivorian city Abidjan with over 300 mm, which occurred on 18–19 June 2018 and caused severe socioeconomic damages in this metropolis. Based on unique (sub)daily rainfall data from stations across the District of Abidjan, this extreme amount was highly localized but embedded in a widespread area of daily totals in excess of 100 mm. Leveraging infrared and microwave satellite imagery, ERA5 reanalysis, as well as European Centre for Medium-Range Weather Forecasts deterministic and ensemble predictions, the following results are obtained. First, the extreme event was associated with a westward-propagating, long-lasting coastal mesoscale convective system (MCS), which, remarkably, was in a weakening stage as it entered the District of Abidjan. Then, a moist low-tropospheric vortex developed when the MCSs approached Abidjan. It was generated via vorticity tilting and vortex stretching most likely through interaction with the MCS, causing exceptionally high values of both moisture flux convergence and precipitable water. Finally, according to the extreme forecast index patterns in successive forecasts, an extreme event over the District of Abidjan was not predicted until roughly 12 h before rainfall onset, highlighting considerable challenges in the forecasting of this case. This study emphasizes the need to improve the representation of MCS–vortex interactions in numerical weather prediction models as a means to enhance early warning systems and climate services for extreme flood-inducing precipitation events in West African cities.

Abstract. The exchange of adaptation-relevant climate information between scientists, stakeholders and the general public is marked by a gap between user needs and provided information. This multidimensional gap can be described in terms of temporal and spatial scales, variable selection, specificity of needs, and consideration of uncertainty. To bridge this gap, we argue for a multi-way format of co-creating (a) a viable form of information exchange and (b) the relevant information itself, while recognising the needs of users and capabilities of providers. This is to ensure that relevant information can be provided to users who are motivated to apply them. We here describe the offer-need gap in the Main River catchment (central Germany), which is increasingly characterized by climate change and user-induced water scarcity, and present a framework for bridging the gap in stakeholder dialogues.

Abstract South Asia, home to over a quarter of the global population, faces escalating climate risks that demand scientifically credible and actionable information. However, existing global climate models exhibit persistent temperature and precipitation biases—variables central to impact assessments—reaching up to 25% and 100% of their mean values, respectively, over this region, thereby limiting their reliability for climate-informed long-term planning. To address these limitations, we introduce the South Asia Regional Climate Information (SARCI) framework—a regionally optimized framework designed to deliver credible, high-fidelity climate information for South Asia. The framework features a customized atmospheric model, based on NCAR CESM/CAM, with targeted improvements in deep convection, land–atmosphere interactions, and gravity wave dynamics—processes linked to major regional biases. These enhancements are guided by empirical understanding of regional climate behaviour and refined through rigorous model tuning to achieve regional improvements without compromising global performance. The customized model substantially improves simulations of temperature and precipitation, along with a more realistic representation of regional circulation. The framework further incorporates a synthesized lower-boundary forcing component derived from skill-based CMIP models, adjusted to reduce biases in its low-frequency variability. A statistical downscaling module then refines the projections to a quarter degree resolution, providing fine-scale, policy-relevant regional climate information. The SARCI framework demonstrates how regional optimization, co-production, and institutional capacity building can deliver credible, policy-relevant climate information for South Asia, with broader relevance for other regions of the Global South facing similar challenges.

Highlighting a gap in adaptation studies regarding the role of digitalisation and datafication in environmental and climate governance, we argue for the need to critically engage with the ever-expanding experimental territory of smart adaptation . To accomplish this task, we emphasise the need to forge new alliances across the fields of digital geographies, political ecology, and political economy. We trace a genealogy of the discourse on smart adaptation and highlight how the basic premises on which mainstream approaches to adaptation operate ( neutrality and naturalization ) have been articulated through digitalised approaches since the very outset (through the ‘climate service paradigm’). This articulation relies upon the need of ever-expanding data supplies, the creation of data relations across scales and space, and the transformation of data into a source of value. Foregrounding the figure of the ‘smallholder farmer’ in adaptive development, we outline three modalities through which smart adaptation operates: depoliticization , financialization and experimentation . Finally, we call for the need to put adaptation scholarship in dialogue with the emerging field thematizing data colonialism as an analytic device to shed light on extractive processes of datafied capital accumulation and dispossession which stem from the conjoined coloniality of climate change and digital infrastructures.

Abstract Decision-making regarding adaptation to climate hazards frequently requires a quantitative assessment of the likelihood of future hazards. This is typically done using climate model projections conditional on future greenhouse gas (GHG) and aerosol concentrations, as well as land-use changes. This leaves decision makers with the responsibility to select the concentration pathway corresponding to their risk tolerance, with little guidance from the scientific community. Here we propose a climate service estimating the occurrence of future climate hazards based on a weighted mixture distribution calibrated on an ensemble of hundreds of simulations from different global climate models and GHG concentration pathways. Each simulation is weighted according to its performance over the historical period, the equilibrium climate sensitivity of climate models, and the likelihood of future GHG concentrations. A prototype implementation for Canada was evaluated by groups of professionals from engineering firms and governments to collect criticism and suggestions. This feedback underlines the interest for climate products that integrate seamlessly with established risk-based frameworks familiar to decision makers.

ABSTRACT This study examines the mediating role of green knowledge sharing (GKS) in the relationship between ethical leadership (EL) and employees’ green innovative behavior (GIB). It also investigates how an organization’s service climate (OSC) and ethical climate (EC) moderate the relationship among EL, GKS, and GIB. Data were collected in three phases through questionnaires from 413 hotel employees in Oman. Structural equation modeling (SEM) was used to test the proposed hypotheses. The results demonstrate that EL positively influences GIB, and GKS fully mediates the relationship between EL and GIB. Additionally, the findings indicate that the OSC significantly strengthens the relationship between EL and GKS, while the EC enhances the link between GKS and GIB. These results suggest that EL motivates employees to engage more actively in GIB. By fostering a supportive, environmentally focused culture and encouraging the exchange of green ideas, ELs inspire employees’ innovative efforts toward sustainability. Therefore, hospitality organizations may benefit from selecting and developing leaders who demonstrate ethical principles and promote GKS by cultivating a culture of integrity and responsibility. When leaders demonstrate ethical values, employees are more likely to share green ideas openly. EL fosters trust and accountability, encouraging employees to participate creatively in eco-friendly practices that advance the organization’s sustainability. These findings offer valuable theoretical insights by highlighting the roles of EL, GKS, OSC, and EC in promoting employees’ GIB within hospitality firms in emerging economies.

The hospital’s responsibility to provide excellent service to patients reflects the expectations of the government, society, and hospital management. Efforts to achieve this can be realized by establishing a strong Service Climate within the organization. Service Climate refers to employees’ perceptions of the procedures, actions, and behaviors expected by the organization in relation to customer service and represents an essential factor in improving service performance. This study aims to examine the role of gender in shaping perceptions of service climate in hospitals, referring to the theory of Schneider and White (2004). The research hypothesis stated that there is a difference in perceptions of service climate between male and female nurses. This study employed a quantitative descriptive design with a convenience random sampling technique. The participants consisted of 254 nurses who handled stunting cases in several hospitals across West Java. The service climate instrument comprised 22 items and demonstrated high internal consistency (Cronbach’s Alpha = 0.968). Descriptive results showed a mean score of 70,05 (SD = 8.56), indicating that the overall perception of service climate was in the moderately high category. The independent samples t-test revealed a significant difference between female nurses (M = 70.92, SD = 8.99) and male nurses (M = 68.04, SD = 7.12), t(252) = 2.493, p = 0.013, with a small-to-moderate effect size (Cohen’s d = 0.34). Further dimensional analysis found significant differences in four out of five dimensions. These findings confirm that gender plays a role in shaping perceptions of hospital service climate, although it is not the sole determining factor.