Developing reliable and valid measures for evaluating collaborative governance and adaptability: An example from the Collaborative Forest Landscape Restoration Program.

In recent decades, there has been an increased emphasis on, and application of, collaborative and adaptive forms of environmental governance as a means to address complex social-ecological problems that cannot be achieved alone and support sustainable resource management. However, the majority of research in the collaborative governance and adaptability arena has relied on individual or small-n case studies. This has led to a multitude of definitions, indicators, and indices, which limits our ability to make inferences across cases and contexts. Relatedly, most research lacks formal tests of assumptions related to the dimensional structure and validity of constructs thought to represent collaborative dynamics and adaptability. There is a need for systematic and cross-case assessments situated within robust statistical frameworks to further our understanding of the forces and factors that cultivate collaborative governance and adaptability. We developed and administered a standardized survey assessment, grounded in the theory and practice of collaborative governance and adaptability, to fifteen collaborative projects funded under the Collaborative Forest Landscape Restoration Program (CFLRP) in the United States. We then used confirmatory factor analysis to test the dimensional structure, reliability, and validity of our theoretically and empirically grounded measures. Results indicate the components of collaborative governance and adaptability comprise six dimensions - principled engagement, shared motivation, leadership, resources, knowledge and learning, and institutional arrangements. As expected, several dimensions were significantly related, and the pattern of inter-factor relationships aligned with theoretical and empirical assumptions. We also found that the six dimensions represent statistically reliable, valid, and distinct measures that may be used to evaluate collaborative governance and adaptability. While our focus was on the CFLRP, the assessment can be adapted in other collaborative environmental governance contexts and used as a foundation for addressing key research gaps, including relating collaborative environmental governance processes to social-ecological outcomes and collaborative adaptation and resilience through time. This is a critical line of work given the increased emphasis and reliance on long-term collaborative arrangements to achieve sustainability goals.

Organizational resilience and primary care nurses' work conditions and wellbeing: a multilevel empirical study in China.

Resilience is crucial for the health system better preventing and responding to public health threats and providing high-quality services. Despite the growing interest in the concept of resilience in health care, however, there is little empirical evidence of the impact of organizational resilience, especially in primary care settings. As the largest professional group in primary care, primary care nurses are taking more and more responsibilities during their daily practice, which influences both their work conditions and wellbeing. This study aims to examine the association between organizational resilience and primary care nurses' working conditions and wellbeing. Using a convenience sampling approach, we recruited 175 primary care nurses from 38 community health centers (CHCs) in four cities in China. Organizational resilience was operationalized as comprising two domains: adaptive capacity and planning capacity, and measured using a 16-item scale. The primary care nurses' working condition indicators comprised variables of psychological safety, organizational commitment, professional commitment, and self-directed learning; wellbeing indicators included depression and burnout. Hierarchical linear regression models were built for analysis. We found that the sampled CHCs have a relatively high level of organizational resilience. The organizational resilience was positively associated with the four indicators of working conditions: psychological safety (ß=0.04, p<0.01), organizational commitment (ß=0.38,p<0.01), professional commitment (ß=0.39, p<0.01), and self-directed learning (ß=0.28, p<0.01). However, organizational resilience was not significantly associated with the two wellbeing indicators. Furthermore, we found the adaptive capacity has stronger association compared with planning capacity. Therefore, primary care manager should build resilient organizations, especially the adaptive capacity, in order to enhance primary care nurses' psychological safety, commitment and learning behaviors. Further studies should also be conducted to understand the link between organizational resilience and primary care nurses' wellbeing.

Smallholder farmers' challenges and opportunities: Implications for agricultural production, environment and food security.

In an era of growing environmental, socioeconomic, and market uncertainties, understanding the adaptive strategies of smallholder farmers is paramount for sustainable agricultural productivity and environmental management efforts. We adopted a mixed-methods approach to investigate the adaptive strategies of smallholders in Northwest Cambodia. Our methodology included downscaled climate projections to project future climate conditions and scenarios, household surveys to collect detailed demographic and socioeconomic data, crop monitoring and record-keeping to gather data on productivity and profitability, and semi-structured interviews to obtain qualitative insights on constraints and adaptation. Our analyses revealed that all smallholders are increasingly vulnerable to climate change which projections reveal will result in more intense and extreme weather events. Specifically, 92% of respondents reported reductions in household income, and 63% indicated the necessity to cut household expenses, which negatively affect agricultural productivity, as evidenced by 33% of respondents reporting declining crop yields and 10% experiencing food shortages. We also uncovered significant differences in farming strategies to mitigate vulnerability among distinct household clusters. Some households prioritise maximising yields through high-expense production strategies, while others focus on optimising inputs to enhance profit-margins, indirectly minimising their environmental impact. These varying strategies have different implications for poverty, food security, and the environment, but were doing very little to mitigate overall vulnerability. To enhance the adaptive capacity of smallholders, policies should target interventions that balance economic growth with environmental sustainability, tailored to the specific needs of different farmer and household types. Promoting the adoption of climate-resilient agricultural practices, investing in water management infrastructure, enhancing access to timely and accurate climate information, and implementing social protection measures are strongly recommended.

The role of agroforestry systems for addressing climate change livelihood vulnerability of farmers of Northwestern Ethiopia.

Farmers in Ethiopia have been vulnerable to climate change in recent decades. In the face of this change, farmers have managed agroforestry systems to maintain their livelihoods. However, studies exploring the role of agroforestry in reducing household vulnerability are lacking in Northwestern Ethiopia. The objectives of the study were to (i) investigate households' livelihoods vulnerability to climate change in Northwestern Ethiopia; (iii) assess the role of agroforestry in mitigating the negative impacts of climate change on farmers livelihoods. Key informant interviews, in-depth interviews, household surveys (387), and focus group discussions were used to collect the data. Descriptive statistics, principal component analysis, the X2-test, and the t-test were run to analyze the data. The findings revealed that households are vulnerable to rising temperatures, rainfall variability, frost, disease and pests, erosion, hailstorms, price hikes, wildlife damage to crops, and health stress. Agroforestry non-practitioners had a higher livelihood vulnerability index (LVI) (0.42 ± 0.081) than practitioners (0.46 ± 0.079). The Livelihood Vulnerability-Intergovernmental Panel for Climate Change Index (LVI-IPCC) showed that AF non-practitioners had a higher exposure (0.58), sensitivity (0.54) index, and a lower adaptive capacity index (0.44) than the exposure (0.34), sensitivity (0.38), and adaptive capacity index (0.51) of practitioners. Plant diversity, income level and diversity, livelihood activities, social network, and food security status of farmers were improved by agroforestry. Farmers were therefore less susceptible to adverse climate shocks. Thus, the AF system could be part of future adaptation and resilience programs that provide dependable tools to minimize households' vulnerability to climate shocks. However, management guidelines, such as understanding local ecosystems, setting clear objectives, choosing suitable species, planning for diversity, considering the market, and regular maintenance and monitoring, are needed for agroforestry to improve its contribution.

Assessing agricultural vulnerability to climate change through dynamic indexing approach.

The present study aims to assess agricultural vulnerability in the context of climate change, focusing on the diverse districts of Odisha. Acknowledging that vulnerability is influenced by exposure, sensitivity, and adaptive capacity, our research incorporates the growth rate and instability of vital performance indicators to evaluate the relative vulnerability of each district. A key strength of this approach is the use of normalized indicators, weighted in accordance with the proportional acreage of major crops in each district relative to the state, culminating in a comprehensive vulnerability index through the aggregation of these weighted components. Our findings reveal significant variability in the vulnerability profiles across districts, thereby necessitating state-level intervention through tailored "Location Performance Vulnerability" based adaptation strategies. These strategies, including early weather warning systems, development of new and early maturing crop varieties, and adjustment of crop planting dates, are crucial for mitigating the adverse effects of climate change on agriculture. The study's methodology and findings offer significant contributions to the field, providing policymakers and stakeholders with a district-specific framework for climate change adaptation. This approach is especially relevant for the international academic and policy-making communities, as it highlights the importance of localized adaptation strategies in the broader context of global climate change resilience.

Mapping ecoregional vulnerability to climate change for Africa.

African ecosystems are expected to be significantly affected by climate change, making it crucial to understand these changes for effective management. We provide a framework and application to assess ecoregional vulnerability to climate change, considering environmental exposure, sensitivity, and adaptive capacity. We assessed environmental exposure using projections for consecutive dry days, precipitation, and temperature changes. Sensitivity was determined based on forest fragmentation and grassland degradation. Adaptive capacity was represented by protected areas network and biodiversity intactness. These factors were combined to create overall vulnerability index and specific categories to guide management decisions. Under the SSP5 8.5 scenario, 16 % of ecoregions will be highly impacted by 2050, with vulnerable areas emerging in Montane forest-grassland and flooded savanna. Impacted ecoregions are disproportionately biodiverse. By intersecting the likely climate impacts and adaptive capacity, we highlight where conservation actions are needed to enhance the resilience of ecoregions to climate change.

Persons Experiencing Homelessness during Extreme Temperatures: Lessons for Promoting Socially Inclusive Adaptive Capacity.

Climate change and increasing extreme temperatures present unique challenges to persons experiencing homelessness (PEH), including heightened physical and psychological harm. While green and urban infrastructure has emerged as one possible mitigation strategy, homeless populations are rarely included in municipal disaster planning or infrastructure research. This study used in-depth interviews with PEH (N = 42) during the summers of 2022 and 2023. Questions were designed around phenomenological methods to explore the individuals' firsthand descriptions of the lived experience of coping during extreme temperatures within a mid-size city in the Southeastern United States. Our findings highlight how social exclusion within the built environment reduces PEH's adaptive capacity and increases the physical and psychological risks of extreme temperatures, namely through limiting and policing scarce resources and restricting the mobility of PEH. In contrast, public transit provided relief from extreme temperatures. Implications from our findings include the need for attention on inclusive green urban infrastructure, including increased placement and access to shade, public water, mixed-use daytime sheltering models, and the installation of lockers to increase capacity to maintain supplies and gear necessary for enduring extreme temperatures. Findings also highlight the challenges of designing inclusive green infrastructure and the importance of de-stigmatizing homelessness and building more housing and income support to increase adaptive capacity for an entire community in the context of a rapidly warming climate.

Effects of delay and error in the feedback structure of ecological management.

Ecosystems face various emergent uncertainties owing to factors such as climate change and accelerating anthropogenic impacts. Uncertainty is a major challenge and a barrier that ecosystem management faces, because it is difficult to precisely predict a priori risks that can have significant impacts on ecosystems. Hence, management with adaptive capacity is recommended to deal with such uncertainties, and feedback structures are central mechanisms for such flexible management. This study used mathematical models to clarify the specific impacts of feedback structures on ecosystem management, such as resource and wildlife management. In particular, the impact of errors in estimating ecosystem status when providing feedback and the impact of the time lag before feedback effects were implemented into management were examined. Overestimation of ecosystem status or a large time lag led to undesirable temporal oscillations in ecosystem status. However, these scenarios can be avoided when combined with management practices that limit the impact of management on the ecosystem, such as input control. Ecosystem management tends to have a large spatiotemporal scale, and implementing highly accurate monitoring and sophisticated feedback structures is difficult. However, the results suggest that effective ecosystem management with a simple feedback structure can be achieved through such complementary institutional design.

The effect of adaptive capacity on resilience to the COVID-19 pandemic: A cross-country analysis.

The COVID-19 pandemic's profound impacts on global health, driven by preparedness gaps and systemic risks, underscore the need to enhance societies' ability to manage both predictable risks and uncertainties inherent in disasters. While disaster research emphasises risk management for predictable threats and adaptive capacity for unexpected challenges, there is a lack of empirical examination of the impact of adaptive capacity on disaster resilience. This study addresses this gap by identifying three key adaptive capacities - quality of institutions, collaborative governance, and social capital - and examining their effects on COVID-19 resilience outcomes, measured by the ability to reduce excess mortality. Analysing secondary data from 129 nations using partial least squares structural equation modelling, the research finds significant positive effects of institutional quality and social capital on resilience outcomes. Conversely, collaborative governance shows a significant negative association, suggesting potentially intricate impacts beyond initial expectations. The findings highlight the need to enhance institutional quality and social capital to address preparedness gaps and unexpected challenges posed by biological hazards such as COVID-19. Future research should explore collaborative governance using a disaggregated approach that considers the roles of different stakeholders in various disaster phases. Contribution: This study advances disaster research by presenting practical methodologies for operationalising adaptive capacities and empirically examining their effects on disaster resilience. For practitioners and policymakers, it highlights the need to adopt a long-term perspective in building disaster resilience, focussing on improving institutional quality and social capital to manage the uncertainties and complexities inherent in disaster scenarios effectively.

Examining the role of community health workers amid extreme weather events in low- and middle-income countries: a scoping review.

OBJECTIVES: The increased frequency and severity of extreme weather events (EWEs) have underscored the need to strengthen climate-resilient health systems and capacity. Community health workers (CHWs) are integral health systems actors with the potential to protect and improve population health in a changing climate. The aim of this review was to synthesize the literature on the roles of CHWs amid EWEs in low- and middle-income countries, the barriers and facilitators to implement these roles, and program supports to strengthen CHW capacity and health system functions. STUDY DESIGN: Scoping review. METHODS: Four academic databases and gray literature published between January 2000 and June 2023 were searched. Data were thematically analyzed using a deductive-inductive approach guided by the World Health Organization's (WHO's) Operational framework for building climate-resilient health systems. RESULTS: Thirty sources were included. Amid EWEs, CHW roles included: 1) delivery of diagnostic, treatment, and other clinical services; 2) support with access, utilization, or navigation of health services and/or referrals; 3) community education and health promotion; 4) data collection and health surveillance; 5) psychosocial supports; and 6) weather-related health emergency response. Facilitators and barriers to the provision of CHW supports amid EWEs were categorized within WHO's building blocks of health systems. Considerations for strengthening CHW programs to enhance climate-resilient health systems are also discussed. CONCLUSIONS: CHWs are uniquely positioned to provide health-related supports amid EWEs that extend to emergency preparedness and response to climate-health challenges. These efforts can contribute to the community and health systems resilience to climate change.

Vulnerability of barley yields in Québec.

Climate projections across Québec indicate increased water stress and recurrent vulnerability of cropping systems. In recent years, reports of droughts and water stress have been recorded across the province. Many parts of Québec have experienced droughts in the past few years, which have had uninvestigated impacts on crops. These droughts have been described as some of the most significant in the last 80 years. On the positive side, climate change is likely to trigger shorter winters and therefore longer growing seasons for several crops. However, for crops like maple syrup, the regions suitable for their cultivation will shift northwards. Despite these projections, studies monitoring the susceptibility of barley to environmental changes, climate variability, and adaptive capacity across Québec are still limited. This study aims to provide a provincial-scale portrait of vulnerability of barley in Québec based on historical growing season precipitation, barley yield, and socioeconomic data (literacy and poverty rates) using a composite statistical model. Growing season precipitation data were downloaded from Ouranos. Barley yield data were collected from the Institut de la Statistique du Québec, and the socio-demographic data were collected from the Advisory Council of Poverty and the Institut de la Statistique du Québec. A vulnerability index with sub-indices (sensitivity, exposure, and adaptive capacity) is deployed. It is hypothesised that (1) vulnerability is inversely associated with adaptive capacity, and (2) the peripheral regions of Québec are more vulnerable and less adaptive to climate stressors. Initial results show that when the vulnerability index for barley is more prominent, the associated index of adaptive capacity is relatively lower. A significant gradient between the peripheral and southern regions of Québec is observed, with vulnerability lowest around Montreal/Laval and gradually increasing towards the peripheral regions. A better understanding of vulnerability warrants a change in approach from focusing solely on climate-related variables to integrating socioeconomic proxies. The challenge, however, has been how to introduce these socioeconomic proxies into empirical and process-based crop models.

Adaptive capacity to reduce disaster risks in informal settlements.

The eMalahleni Local Municipality (eLM) in Mpumalanga province, South Africa, has a number of informal settlements because of the influx of people seeking employment in the municipal area. These informal settlements are exposed to a number of hazards, including underground fires, air and water pollution, sinkholes, abandoned mining areas and acid mining drainage. South Africa's National Development Plan (NDP) incorporates the United Nation's Sustainable Development Goals, which are intended to upgrade informal settlements on suitable land. The Department of Human Settlement recognised the gap in the policy because upgrading only included physical structures and did not include adaptive capacity for communities to create resilience to withstand disasters. The researcher used a case study research design for the inquiry intended to recommend adaptive capacity and reduce disaster risks in informal settlements in the eLM. Purposive sampling was used to select 25 participants from eLM, provincial government departments and informal settlements. The data were analysed using thematic analysis based on the study's conceptual framework. The research findings revealed that the government has not done much to involve vulnerable communities during the development of policies to reduce disaster risks within informal settlements. In particular, the failure of the government to promote and reinforce public participation in disaster risk reduction programmes leaves the vulnerable communities defenceless. Contribution: This study strengthens the intergovernmental structures and public participation to reduce disaster risks in communities. This study discourages a silos mentality and encourages coordination between government departments to identify root causes by applying the pressure and release model for effective disaster risk reduction.

Perspectives of nature-based tourism-dependent communities on climate change in the Okavango Delta, Botswana.

The intensity and frequency of climate extremes such as heat waves, droughts and extreme rainfall events are projected to rise. This will increase the severity of their impacts across socio-ecological systems. Economic sectors such as nature-based tourism become more vulnerable because of their reliance on climate and natural capital as key resources. While attempts have been made to understand how climate change may impact tourists and the industry itself, little is known about the same on tourism-dependent communities. This paper determines the extent to which tourism-dependent communities are vulnerable to climate change in the Okavango Delta, Botswana, to enhance their wider livelihood the development of strategies for improving adaptive capacity, resilience, and reduced exposure sensitivities. A household survey of 172 households was conducted in three purposively selected villages of Mababe, Sankuyo and Khwai, actively involved in community-based tourism for their socio-economic development. Information sourced related to livelihood options, peoples' resilience, local risks, and hazards. The data was analysed using descriptive statistics and thematic analysis. The results indicate that respondents have observed climatic changes over the years such as increased temperatures, decreased rainfall, and increased frequencies of extreme events. The respondents attributed changes in natural capital to these observed climatic conditions in the form of desiccation, dwindling populations of some wildlife species, decreased fish stocks and reduced vegetation cover. This renders the tourism-dependent communities vulnerable as their livelihood is threatened. The paper thus concludes that climate change adaptation is an urgent priority for local communities who are already exposed to existing climatic and non-climatic stresses.

The formation and evolution of vulnerability risk of rural poor groups under the perspective of social support -- based on the analysis of "sensitivity-resilience".

The anticipated sensitivity and resilience practices of the poor groups expose them to significant vulnerability risks, with social support actions arising from the return to poverty posing additional interference. To comprehensively prevent and mitigate vulnerability risks, breakthroughs in corresponding social support are essential. This study, through questionnaire surveys and semi-structured interviews, collected original data from 750 impoverished households in Lantian County, northwest China. Using a bottom-up approach, it constructed a "sensitivity-resilience" framework to assess the vulnerability and resilience mechanisms of the relatively poor groups. The research reveals that vulnerability and resilience interact in response to risk shocks. The strong livelihood dependence, capital accumulation deficiency, and sensitivity characteristics of social marginalization among rural relatively poor groups, coupled with fragmented and inefficient social support, exacerbate the degree of vulnerability risks, leading to an amplification of sensitivity and a reduction in resilience. Based on these findings, targeted at the characteristics of vulnerability risks and the fatigue factors of social support, this study proposes policy recommendations at two levels: system reengineering to reduce sensitivity and long-term reengineering to enhance resilience, aiming to prevent large-scale return to poverty.

Assessing the Vulnerability and Adaptation Needs of Mozambique's Health Sector to Climate: A Comprehensive Study.

Climate change poses severe consequences, particularly in sub-Saharan Africa, where poverty rates may escalate by 2050 without significant climate and development action. The health impacts are diverse, encompassing communicable and non-communicable diseases. Mozambique, a climate-vulnerable nation, has experienced significant natural disasters in the past 42 years, impacting its health system. This study aims to assess Mozambique's health sector's vulnerability and adaptation needs to climate change. Following a methodology proposed by the World Health Organization and the Intergovernmental Panel for Climate Change, a six-step vulnerability and adaptation assessment was conducted to conduct the Health Vulnerability Index (HVI) for Mozambique's regions (n=161). The HVI integrates historical climate, epidemiological, and socio-economic data at the district level, and was computed using exposure, sensitivity, and adaptive capacity dimensions. The results revealed spatial patterns in exposure to climate variables, extreme weather events, and variations in sensitivity and adaptive capacity across the country. The HVI mirrored the exposure findings. Notably, high vulnerability was observed in several districts, while major urban centers displayed lower vulnerability. These findings highlight the country's vulnerability to climate change and underscore the potential for adverse impacts on livelihoods, the economy, and human health. The study provides a foundation for developing strategies and adaptation actions.

Smallholder farmers' vulnerability to climate change and variability: Evidence from three agroecologies in the Upper Blue Nile, Ethiopia.

This study delves into the profound impact of climate change on agriculture in Ethiopia, particularly the vulnerabilities faced by smallholder farmers and the resulting implications for poverty. Focusing on three distinct agroecologies, namely: highland, midland, and lowland zones. The study employed a robust methodology, combining a cross-sectional survey, spatial-temporal trend analysis using GIS, and the development of an overall vulnerability index through the balanced weighted average method. The study, encompassing 646 households, combines data from a variety of sources and analytical tools like the vulnerability index, ArcGIS 10.8, and ERDA's IMAGINE 2015. Utilizing the LVI-IPCC scale, the study shows that climate change is an immediate vulnerability in all agroecological zones. It identifies highland areas as the most sensitive and exposed regions, while lowland households are found to be the most vulnerable in terms of overall vulnerabilities. The research reveals specific challenges faced by communities, such as inadequate health facilities and insufficient food and water supplies in both highland and lowland agroecosystems. Additionally, our investigation has observed a significant alteration in land use practices, specifically the shift from communal grazing land to private cultivation and plantations, emphasizing eucalyptus. This alteration enhances the ecosystem's vulnerability to climate disturbances. The study suggests targeted interventions, such as advocating for sustainable land-use practices, afforestation, and adopting climate-smart agriculture practices. It is important to implement policy measures that prioritize conserving and restoring shrubland, grazing land, and natural forests to ensure both long-term socio-economic and ecosystem resilience. The study's nuanced insights are instrumental in understanding the diverse challenges posed by climate change in Ethiopian agriculture, supporting informed policymaking and sustainable interventions.

Operationalizing a fisheries social-ecological system through a Bayesian belief network reveals hotspots for its adaptive capacity in the southern North sea.

Fisheries social-ecological systems (SES) in the North Sea region confront multifaceted challenges stemming from environmental changes, offshore wind farm expansion, and marine protected area establishment. In this paper, we demonstrate the utility of a Bayesian Belief Network (BN) approach in comprehensively capturing and assessing the intricate spatial dynamics within the German plaice-related fisheries SES. The BN integrates ecological, economic, and socio-cultural factors to generate high-resolution maps of profitability and adaptive capacity potential (ACP) as prospective management targets. Our analysis of future scenarios, delineating changes in spatial constraints, economics, and socio-cultural aspects, identifies factors that will exert significant influence on this fisheries SES in the near future. These include the loss of fishing grounds due to the installation of offshore wind farms and marine protected areas, as well as reduced plaice landings due to climate change. The identified ACP hotspots hold the potential to guide the development of localized management strategies and sustainable planning efforts by highlighting the consequences of management decisions. Our findings emphasize the need to consider detailed spatial dynamics of fisheries SES within marine spatial planning (MSP) and illustrate how this information may assist decision-makers and practitioners in area prioritization. We, therefore, propose adopting the concept of fisheries SES within broader integrated management approaches to foster sustainable development of inherently dynamic SES in a rapidly evolving marine environment.

Integrative approaches to urban resilience: Evaluating the efficacy of resilience strategies in mitigating climate change vulnerabilities.

The successful implementation of urban resilience strategies is of utmost importance in order to reduce susceptibility and bolster resilience in the face of climate change consequences. The current understanding of the efficacy of different resilience strategies in mitigating vulnerability and bolstering urban resilience is lacking, despite its significance. This study assesses the efficacy of resilience strategies in mitigating vulnerability and enhancing urban resilience. We conducted a comprehensive analysis of scholarly literature published in English following PRISMA criteria from January 2001 to July 2023. Finally, 116 articles met the inclusion criteria and were selected for in-depth analysis. Results indicate that while resilience strategies have the potential to reduce susceptibility and enhance urban resilience, the effectiveness of resilience techniques is contingent upon various factors, such as the type of hazard, urban setting, and implementation process. The study also highlights the significance of stakeholder involvement, community participation, and adaptive management as essential components for effectively implementing resilience measures. Integrating physical, social, and institutional components in resilience practices demonstrated notable effectiveness. This study also reveals that improving the physical resilience of urban areas and strengthening their social and institutional capabilities to address and learn from disruptive events and pressures can decrease their vulnerability. The research also exposes those strategies focusing solely on mitigating a single issue, such as physical infrastructure, while neglecting social or institutional elements, which prove less effective. A comprehensive approach, incorporating institutional, social, and physical measures, should be designed to achieve maximal efficacy in mitigating vulnerability and strengthening urban resilience.

Differences in the Behavioral Parameters of Young Zebu and Composite Bulls Kept on Non-Forested or in Integrated Crop-Livestock-Forestry Systems.

The behavior of ruminants can influence their productive efficiency. The aim of this study was to evaluate the behavior of young zebu and composite bulls kept in pasture production systems, either in a crop-livestock-forest integration or without afforestation. The work was carried out in São Carlos, Brazil (21°57'42″ S, 47°50'28″ W), in a high-altitude tropical climate, from March to July, 2022. Forty young bulls were evaluated, being 20 Nelore (Bos indicus) (342.5 ± 36.6 kg BW; 16.9 ± 1.8 months) and 20 Canchim (5/8 Bos taurus × 3/8 Bos indicus) (338.4 ± 39.8 kg BW; 19.1 ± 1.9 months), equally distributed in full-sun (FS) and integrated crop-livestock-forestry (ICLF) production systems. Behavior was monitored uninterruptedly by an acoustic sensor and accelerometer attached to a collar, and complemented by direct visual assessment, in two one-day campaigns per month. Serum cortisol concentration was assessed monthly. Statistical analyses were conducted using a general linear model at a 5% significance level (SAS, version 9.4). The ICLF system had a milder microclimate and favored thermal comfort. Natural shading influenced grazing, resting, and rumination time. The Canchim bulls were more active when moving and grazing (p < 0.05), even at the hottest times of the day. In turn, the Nelore bulls spent more time resting at all times (p < 0.001), which was shown to be an adaptive strategy in response to environmental stimuli. The Canchim bulls had a longer rumination time than the Nelore bulls (p < 0.001), due to their longer grazing time. The frequency of water and mineral mixture intake did not differ between genotypes, regardless of the production system (p > 0.05). There was no difference in the serum cortisol concentrations of the Nelore and Canchim bulls kept in FS or ICLF (p = 0.082). Thus, young bulls of the different genotypes showed different behaviors, regardless of whether they were kept on pasture without afforestation or in an integrated crop-livestock-forestry system.

Ecosystem services at risk from disturbance in Europe's forests.

Global change impacts on disturbances can strongly compromise the capacity of forests to provide ecosystem services to society. In addition, many ecosystem services in Europe are simultaneously provided by forests, emphasizing the importance of multifunctionality in forest ecosystem assessments. To address disturbances in forest ecosystem policies and management, spatially explicit risk analyses that consider multiple disturbances and ecosystem services are needed. However, we do not yet know which ecosystem services are most at risk from disturbances in Europe, where the respective risk hotspots are, nor which of the main disturbance agents are most detrimental to the provisioning of multiple ecosystem services from Europe's forests. Here, we quantify the risk of losing important ecosystem services (timber supply, carbon storage, soil erosion control and outdoor recreation) to forest disturbances (windthrows, bark beetle outbreaks and wildfires) in Europe on a continental scale. We find that up to 12% of Europe's ecosystem service supply is at risk from current disturbances. Soil erosion control is the ecosystem service at the highest risk, and windthrow is the disturbance agent posing the highest risk. Disturbances challenge forest multifunctionality by threatening multiple ecosystem services simultaneously on 19.8 Mha (9.7%) of Europe's forests. Our results highlight priority areas for risk management aiming to safeguard the sustainable provisioning of forest ecosystem services.