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Purpose: The study attempts to estimate farm subsidies the governments can save by transitioning to a millet-based production system, replacing GHG emission-intensive crops. Design/methodology/approach: It updates a 131 × 131 commodity input–output (IO) table of the year 2015–16 into 2021–22 using the RAS procedure and simulates the economy-wide impacts of replacing rice and wheat with pearl millet and sorghum using consumption and production approaches. It then quantifies fertilizer, electricity and credit subsidy expenses the government can save through this intervention. It also estimates the potential reduction in GHG emissions that the transition could bring about. India is taken as a case. Findings: Results show pearl millet expansion brings greater benefits to the government. It is estimated that when households return to their pearl millet consumption rates that prevailed in the early-reform period, this could save the Indian government Rs. 622 crores (USD 75 m). The savings shall be reinvested in agriculture to finance climate adaptation/mitigation efforts, contributing to a sustainable food system. Net GHG emissions also decline by 3.3–3.6 MMT CO2e. Practical implications: Indian government has been actively aiming to bring down paddy areas since 2013–14 through the Crop Diversification Program and promoting millets (and pulses and oilseeds) on these farms. The prime reason is to check rapidly declining groundwater irrigation in Green Revolution states. Regulations in the past in these states have not brought the intended results. Meanwhile, electricity and fertilizers are heavily subsidized for agriculture. A slight shift in the cropping system can help conserve these resources. Meanwhile, GHG emissions could also be brought down and subsidies could well be saved. The results of the study indicate the same. Social implications: A less warm society is what governments and nongovernment organizations across the world are aiming for at present. Financial implications affect actions against climate change to a greater extent, apart from technological innovations. The effects of policy strategies discussed in the study, taking a large country as a case, when implemented appropriately around the regions, could help move a step closer to action against climate change. Originality/value: The paper addresses a key but rarely explored research issue – that how a climate-sensitive crop choice will help reduce the government's fiscal burden to finance climate adaption/mitigation. It also offers a mechanism to estimate the benefits within an economy-wide framework. [ABSTRACT FROM AUTHOR]

Climate variability induced increased frequency of disasters has affected the livelihood of the people especially in developing countries. Rural communities are more affected and vulnerable towards these events due to limited livelihood alternatives. The exponentially increasing population, unsustainable use of natural resources and increasing disparities in social structure have posed threats to rural livelihoods. Climate variability and change have adversely affected agriculture and allied activities but more so in mountainous regions where the agriculture is still primarily rain-fed and is practised by smallholder farmers. Thus, livelihood vulnerability assessment is essential for suggesting suitable adaptation strategies and making policy decisions. This paper makes an attempt to examine livelihood vulnerability using composite vulnerability index. Evidence is given from blocks (administrative divisions of the district) of Dimapur district of Nagaland in India. We constructed livelihood vulnerability index (LVI) by incorporating site-specific indicators for its three components (exposure, sensitivity and adaptive capacity). The results revealed that all the blocks were greatly affected by climate variability and its induced drought. Niuland block was found the most vulnerable block followed by Kuhuboto, Dhansiripar and Medziphema blocks. Livelihood vulnerability in Niuland, Kuhuboto and Dhansiripar blocks is attributed to high sensitivity and low adaptive capacity. Sensitivity has predominantly increased livelihood vulnerability in Medziphema block. Thus, the study calls for policy implications to reduce the extent of livelihood vulnerability. LVI as a policy tool has proved to be effective in livelihood vulnerability assessment. Hence, it can successfully be utilised in other geographical regions for policy interventions. [ABSTRACT FROM AUTHOR]

India's economy is rooted in agriculture, and the majority of the farmers, being smallholders, are highly exposed to the adversities associated with climate change. It has been argued by several researchers that perceiving climate change is a pre-condition for the adoption of adaptation strategies to reduce vulnerabilities. In this regard, studies are limited to explore the question 'is the perceptions of changing climate primarily motivate the smallholders to take adaptation actions?' In this nexus, the present paper seeks to understand the linkages between smallholders' climate change perception and the changes in their farming practices. The study was conducted in the seven villages of Sub-Himalayan West Bengal, India, using participatory rural appraisal (PRA) tools. Key results show, (1) respondents perceived increased warming and decreased precipitation in accordance with the scientific analysis; (2) abundance of groundwater, misconceptions and lack of awareness shaped respondents' agricultural risk perception, and despite decreasing precipitation, water management appeared less risky (3) incorporation of irrigation, diversification towards high valued and high yielding crops, as well as farm mechanizations were the major changes in the farming practices; and, (4) except water management, rest of the changes were not necessarily made to adapt with climate change instead to increase crop yield and profit. It is noticed that the changes in farming practices perhaps made the farmers unconsciously adapted to climate change. Still, a prolonged continuation of some of those practices may lead to maladaptation. In this regard, we have given direction towards necessary policy formulation and future research to achieve sustainability. [ABSTRACT FROM AUTHOR]

The paper contributes to the growing literature highlighting the significance of assessing risk and vulnerability, micro-level perceptions and adaptation decision-making in building resilience of farm communities to climate change in dryland region of India. To select a region for grassroots enquiry, spatial differential in risk to climate change was assessed in Rajasthan, using IPCC AR5 framework. Among the highly vulnerable and risky districts, Bikaner district was selected for elicitation of micro-level imperatives. Rising atmospheric temperature, inter-seasonal displacements of rainfall and recurrence of extreme events were perceived by the farmers resulting in resource degradation, production risks and erosion of households' socio-economic dynamics. As risk preventive measures, suitable adjustment in agricultural practices, natural resource management, shift to off-farm activities and other relief measures were adopted by the farmers. Farmer's choice of adaptation was influenced by several climatic, socio-economic and infrastructural & institutional factors in varying degree. Moreover, several financial, economic, infrastructural and informational bottlenecks to adaptations were reported during household survey and FGDs. The results suggest that capturing grassroots evidence is crucial for directing locally tailored adaptation strategies, along with the improving deficiencies in the developmental pathways for climate-resilient agriculture. [ABSTRACT FROM AUTHOR]

In India, a popular trope is adapting cultural myths and religious iconographies into visceral images of the monster in literary and visual representations. Cinematic representations of the Indian monster are modelled on existing folklore narratives and religious tales where the idea of the monster emerges from cultural imagination and superstitions of the land. Since it rationalizes several underlying archetypes in which gods are worshipped in their monstrous identities and disposition, the trope of the monster is used in cinema to indicate the transformation from an ordinary human figure to a monstrous human Other. This paper examines cinematic adaptations of monster figures in Malayalam cinema, the South Indian film industry of Kerala. The cultural practice of religious rituals that worship monstrous gods is part of the collective imagination of the land of Kerala through which films represent fearsome images of transformed humans. This article argues that cultural monsters are human subjects that take inspiration from mythical monster stories to perform in a terrifying way. Their monstrous disposition is a persona that is both a powerful revelation of repressed desires and a manifestation of the resistance against certain cultural fears associated with them. The analysis of several Malayalam films, such as Kaliyattam (1997) Manichithrathazhu (1993) and Ananthabhadram (2005), reveals how film performance adapts mythological narrative elements to create new cultural intertexts of human monsters that are psychotically nuanced and cinematically excessive. [ABSTRACT FROM AUTHOR]

This paper presents findings from a process aimed at identifying the climate linkages of non-climate focused environment and development projects in India. Findings from four case studies based on workshops using participatory systems thinking are summarized. These climate adjacencies are documented as systems stories using the tools of systems thinking—behavior over time graphs and causal loop diagrams. These place-based stories highlight how the environment and development projects have linkages with climate change mitigation and adaptation. An attempt has been made to convert one of the systems stories into a computable simulation model using system dynamics modelling. A small concept model has been created thus and used to perform simulation runs. Four scenarios have been generated and the results discussed. Our learning from converting feedback maps into stock-flow models is presented. The insights generated from interpreting the feedback maps and simulation results are also presented. These insights are then compared and the benefits of simulation evaluated. The paper highlights the need to document climate linkages of non-climate-focused development projects and the benefit of converting systems stories into simulation models for developing operational insights. The important role such methods can play in developing capacities for enhancing climate action is also discussed. [ABSTRACT FROM AUTHOR]

Simple Summary: Bactrocera dorsalis and Bactrocera correcta are two important fruit flies that are distributed in India and keep spreading to other countries due to global warming. To colonize other countries, they need to have the ability to adapt to winter temperatures, and it is thus important to know the factors behind their rapid cold hardening ability. In this study, we identified the temperature at which the two species showed the highest survival rate and performed transcriptome sequencing to explore the potential key genes involved in their rapid cold hardening ability. We identified four heat shock protein genes and tested their expression levels using RT-qPCR. Finally, we knocked down these genes to test their function in rapid cold hardening. We found that the survival rate after rapid cold hardening was related to the expression level of Hsp68 and Hsp70 in B. dorsalis and to that of Hsp23 and Hsp70 in B. correcta. This study helps elucidate the adaptation mechanism underlying the rapid cold acclimation-hardening ability of the two species and provides information for studies related to the mechanism of their tolerance to cold temperatures. Bactrocera dorsalis and Bactrocera correcta are two invasive species that can cause major economic damage to orchards and the fruit import and export industries. Their distribution is advancing northward due to climate change, which is threatening greater impacts on fruit production. This study tested the rapid cold-hardening ability of the two species and identified the temperature associated with the highest survival rate. Transcriptome data and survival data from the two Bactrocera species' larvae were obtained after rapid cold-hardening experiments. Based on the sequencing of transcripts, four Hsp genes were found to be affected: Hsp68 and Hsp70, which play more important roles in the rapid cold hardening of B. dorsalis, and Hsp23 and Hsp70, which play more important roles in the rapid cold hardening of B. correcta. This study explored the adaptability of the two species to cold, demonstrated the expression and function of four Hsps in response to rapid cold hardening, and explained the occurrence and expansion of these two species of tephritids, offering information for further studies. [ABSTRACT FROM AUTHOR]

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Mountains are one of the most ecological functional areas and provide wide range of ecosystem services (ESs) to the adjoining people. However, the mountainous ESs are highly vulnerable due to land use and land cover (LULC) change and climate change. Therefore, evaluations of the nexus between ESs and mountainous communities are essentially required for policy purpose. This study aims to assess ESs by analyzing LULC focusing in three ecosystems (forest, agriculture, and home garden) from urban and peri-urban areas for last 3 decades, applying participatory and geospatial approaches for a mountainous city in Eastern Himalayan Region (EHR), India. The findings showed that a substantial loss in ESs has occurred during the period. Moreover, there were substantial variations of ecosystem importance and dependency between urban and peri-urban areas with highest importance of provisioning ESs in peri-urban areas and cultural ESs in urban areas. Moreover, among the three ecosystems, forests were strongly supporting the peri-urban areas communities. The result demonstrated that the communities are highly dependent on various ESs for their livelihoods, but the changes of LULC had substantial impact on the loss of ESs. Therefore, implementation of effective land uses planning strategies and measures for ecological security and livelihood sustainability is to be managed with people participation in mountainous areas. Highlights: Social and geospatial approach was used to evaluate socio-ecological nexus. Losses in ecosystem services (ESs) were evident in the region during the last 3 decades. Effective land use planning for management of ecosystems in mountainous regions may provide solution to the degradation of the ES flow. [ABSTRACT FROM AUTHOR]

Background: Structured lifestyle change education reduces the burden of cardiometabolic diseases such as diabetes. Delivery of these programs at worksites could overcome barriers to program adoption and improve program sustainability and reach; however, tailoring to the worksite setting is essential. Methods: The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at 11 large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, and peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system. Results: Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add a wider variety of exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees. Conclusion: This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings. Trial registration: Clinicaltrials.gov NCT02813668. Registered June 27, 2016 [ABSTRACT FROM AUTHOR]

A genomic study was conducted to identify the effects of urbanization and environmental contaminants with heavy metals on selection footprints in dairy cattle populations reared in the megacity of Bengaluru, South India. Dairy cattle reared along the rural–urban interface of Bengaluru with/without access to roughage from public lakeshores were selected. The genotyped animals were subjected to the cross-population–extended haplotype homozygosity (XP-EHH) methodology to infer selection sweeps caused by urbanization (rural, mixed, and urban) and environmental contamination with cadmium and lead. We postulated that social-ecological challenges contribute to mechanisms of natural selection. A number of selection sweeps were identified when comparing the genomes of cattle located in rural, mixed, or urban regions. The largest effects were identified on BTA21, displaying pronounced peaks for selection sweeps for all three urbanization levels (urban_vs_rural, urban_vs_mixed and rural_vs_mixed). Selection sweeps are located in chromosomal segments in close proximity to the genes lrand rab interactor 3 (RIN3), solute carrier family 24 member 4 (SLC24A4), tetraspanin 3 (TSPAN3), and proline-serine-threonine phosphatase interacting protein 1 (PSTPIP1). Functional enrichment analyses of the selection sweeps for all three comparisons revealed a number of gene ontology (GO) and KEGG terms, which were associated with reproduction, metabolism, and cell signaling-related functional mechanisms. Likewise, a number of the chromosomal segments under selection were observed when creating cattle groups according to cadmium and lead contaminations. Stronger and more intense positive selection sweeps were observed for the cadmium contaminated group, i.e., signals of selection on BTA 16 and BTA19 in close proximity to genes regulating the somatotropic axis (growth factor receptor bound protein 2 (GRB2) and cell ion exchange (chloride voltage-gated channel 6 (CLCN6)). A few novel, so far uncharacterized genes, mostly with effects on immune physiology, were identified. The lead contaminated group revealed sweeps which were annotated with genes involved in carcass traits (TNNC2, SLC12A5, and GABRA4), milk yield (HTR1D, SLCO3A1, TEK, and OPCML), reproduction (GABRA4), hypoxia/stress response (OPRD1 and KDR), cell adhesion (PCDHGC3), inflammatory response (ADORA2A), and immune defense mechanism (ALCAM). Thus, the findings from this study provide a deeper insight into the genomic regions under selection under the effects of urbanization and environmental contamination. [ABSTRACT FROM AUTHOR]

The need for agile and adaptable health systems to cope with disasters such as the COVID-19 pandemic is well established. Developing countries' health systems are a mix of market, hierarchy, and collaborative arrangements. Collaborative arrangements are considered superior in responding to a crisis, but a comparative assessment of the three modes in the face of a crisis needs to be improved. Further, very little is known about the adaptation of collaborative arrangements that existed before the crisis, as extant research has primarily examined arrangements that emerged in the wake of the crisis. We assess the response of three governance modes to the COVID-19 pandemic in India. A mixed-method approach has been adopted: structured interviews with the domain experts, secondary data, and Twitter analytics framework. Both hierarchy and markets demonstrated adaptability, but market arrangements were mal-adapted to exploit the situation. Contrary to expectations, hierarchy arrangements responded with agility and delivered services substantially. Preexisting collaborative arrangements had limited adaptability due to non-convergence of expectations and reduced dependence, leading partners to choose alternative venues rather than engaging in bargaining and negotiation. The findings contribute to the limited literature on the comparative assessment of modes of governance and adaptability of preexisting collaborative arrangements. [ABSTRACT FROM AUTHOR]

Peer-delivered interventions for adolescent mental health can help address poor access to mental health interventions. Questions remain about how interventions can be adapted for peer delivery and whether peers can be trained. In this study, we adapted problem solving therapy (PST) for peer-delivery with adolescents in Kenya and explored whether peer counselors can be trained in PST. We adapted treatment prior to and during training using the Cultural Adaptation and Contextualization for Implementation framework. Nine peer counselors (Ages 20–24) were selected and trained over 10 days. Peer competencies and knowledge were measured pre-post using a written exam, a written case study, and role plays rated using a standardized competency measure. We chose a version of PST used in India with secondary school adolescents originally delivered by teachers. All materials were translated into Kiswahili. Language and format were adapted to Kenyan adolescents as well as for delivery by peers with a focus on understandability and relevance (e.g., noting shared experience). Metaphors, examples, and visual materials were adapted for the context to reflect the culture and vernacular of Kenyan youth. Peer counselors were able to be trained in PST. Pre-post competencies and understanding of content showed improvements with peers minimally meeting patient needs (pre) on average to moderate/fully meeting patient needs (post). Post-training written exam score showed an average 90% correct. There is an adapted version of PST for Kenyan adolescents and peer delivery. Peer counselors can be trained to deliver a 5-session PST in a community context. [ABSTRACT FROM AUTHOR]

Climate change induced frequent disasters pose severe threats to agro-based rural livelihoods. Perceptions of risks play a critical role in planning and averting disasters. Lack of analytical documentation concerning how vulnerable communities perceive climate risks is a barrier to addressing and averting disasters and maladaptation. Applying a mixed approach, this study examines the perception of households concerning climate change and analyses the impacts of climate change on livelihood in Arunachal Pradesh, the largest northeastern state of India, with severe climate related challenges. Conceptual livelihood vulnerability index (LVI) framework of Intergovernmental Panel on Climate Change is adopted to analyse the climate change induced vulnerability on livelihood. A total 450 households from 18 villages located in the districts of Arunachal Pradesh were surveyed during October, 2021 for retrieving the ground complexities in the region. Decrease in yields, frequent landslides and floods, livestock losses and unpredictable weather condition were perceived by the sampled households. The LVI analysis indicated that households are vulnerable in Arzoo, Perum, Pekong and Amliang villages requiring priority for lessening livelihood vulnerability and increasing coping capacity of the communities. Correlation analysis indicated that climate variability, natural disaster, health, food and social components attributed to livelihood vulnerability in the study area. Alternate livelihood, enhancing preparedness to disasters, inclusion of women in workforce, sustainable livelihood practices and government assistance are some of the suggestions made to enhance the adaptation of local communities in a sustainable way. [ABSTRACT FROM AUTHOR]

India has 50 registered breeds of native cattle (Bos indicus) which are locally adapted to diverse environmental conditions. This study aimed to investigate the genomic basis of adaptation of native Indian cattle and to predict the impact of key SNPs on the amino acid changes that affect protein function. The Illumina 777 K BovineHD BeadChip was used to genotype 178 native cattle belonging to contrasting landscapes and agro-climatic conditions. The genotype-environment association was investigated with R. SamBada, using 5,74,382 QC passed SNPs and 11 predictor variables (10 multi-collinearity controlled environmental variables and 1 variable as "score of PCA" on ancestry coefficients of individuals). In total, 1,12,780 models were selected as significant (q < 0.05) based on G score. The pathway ontology of the annotated genes revealed many important pathways and genes having a direct and indirect role in cold and hot adaptation. Only ten SNP variants had a SIFT score of < 0.05 (deleterious), and only two of them, each lying in the genes CRYBA1 and USP18, were predicted to be deleterious with high confidence. RaptorX predicted the tertiary structures of proteins encoded by wild and mutant variants of these genes. The quality of the models was determined using Ramachandran plots and RaptorX parameters, indicating that they are accurate. RaptorX and I-Mutant 2.0 softwares revealed significant differences among wild and mutant proteins. Adaptive alleles identified in the present investigation might be responsible for the local adaptation of these cattle breeds. [ABSTRACT FROM AUTHOR]

The rapidly changing climatic conditions are adversely impacting the Indian agricultural sector. Farmers are frequently seen adopting several adaptation measures, which are neither equally efficient nor mutually exclusive. Based on the primary data collected from 300 farming households of the Indian Eastern Himalayan foothills, the present study attempts to examine the efficiency of local farmers' adaptation by developing indices combining the feasibility, effectiveness, and sustainability of the adaptation measures with the scale of actual adoption. Further, by employing multiple linear regression, the study analyzes the internal (psychological) and external (physical and socio-economic) factors influencing higher scores of these indices. Results show that local farmers are well aware of climate change and are responding through implementing at least one and up to seven adaptation measures. Farmers preferred agroforestry, a shift from cereals to low water-intensive commercials, irrigation, and intensification of winter crops as the most efficient. There was, however, a misalignment between the perceived efficiency of adaptation measures and their scale of adoption. Farmers' perceptions of pest infestation, satisfaction with farming, soil characteristics, farm size, remittances, and access to credit were found to be positively and significantly influencing the adaptation indices, while open-mindedness toward changing farming practices and crop-raiding by elephants were found to be negatively and significantly associated with adaptation indices. Lastly, the study made relevant recommendations for improving farmers' efficiency in adopting appropriate adaptation measures and strengthening the "State Action Plan on Climate Change". [ABSTRACT FROM AUTHOR]

Climate change is often linked with record-breaking heavy or poor rainfall events, unprecedented storms, extreme day and night time temperatures, etc. It may have a marked impact on climate-sensitive sectors and associated livelihoods. Block-level weather forecasting is a new-fangled dimension of agrometeorological services (AAS) in the country and is getting popularized as a climate-smart farming strategy. Studies on the economic impact of these microlevel advisories are uncommon. Agromet advisory services (AAS) play a critical role as an early warning service and preparedness among the maize farmers in the Parambikulam–Aliyar Basin, as this area still needs to widen and deepen its AWS network to reach the village level. In this article, the responses of the maize farmers of Parambikulam–Aliyar Basin on AAS were analyzed. AAS were provided to early and late Rabi farmers during the year 2020–2022. An automatic weather station was installed at the farmers' field to understand the real-time weather. Forecast data from the India Meteorological Department (IMD) were used to provide agromet advisory services. Therefore, the present study deserves special focus. Social media and other ICT tools were used for AAS dissemination purposes. A crop simulation model (CSM), DSSAT4.7cereal maize, was used for assessing maize yield in the present scenario and under the elevated GHGs scenario under climate change. Our findings suggest that the AAS significantly supported the farmers in sustaining production. The AAS were helpful for the farmers during the dry spells in the late samba (2021–2022) to provide critical irrigation and during heavy rainfall events at the events of harvest during early and late Rabi (2021–22). Published research articles on the verification of weather forecasts from South India are scanty. This article also tries to understand the reliability of forecasts. Findings from the verification suggest that rainfall represented a fairly good forecast for the season, though erratic, with an accuracy score or HI score of 0.77 and an HK score of 0.60, and the probability of detection (PoD) of hits was found to be 0.91. Verification shows that the forecasted relative humidity observed showed a fairly good correlation, with an R2 value of 0.52. These findings suggest that enhancing model forecast accuracy can enhance the reliability and utility of AAS as a climate-smart adaptation option. This study recommends that AAS can act as a valuable input to alleviate the impacts of hydrometeorological disasters on maize crop production in the basin. There is a huge demand for quality weather forecasts with respect to accuracy, resolution, and lead time, which is increasing across the country. Externally funded research studies such as ours are an added advantage to bridge the gap in AAS dissemination to a great extent. [ABSTRACT FROM AUTHOR]

The study analyzes the individuals' risk management strategies and determinants of preparedness for drought in Madhya Pradesh, India. It employs the descriptive and binary logistic regression on primary data and show that more than one earning member, access to social safety schemes, migration, irrigation facilities and diversified employment are the important risk management strategies. Gender, social group, income, non-migration, employment status and the interaction of 'access to government schemes and gender' are the statistically significant determinants in order, increasing the odds of preparedness against droughts. However, in the sub-sample of farmers, the main predictor variables are gender, non-migration, social group, crop losses and income. The study is novel to generate the field evidences with respect to risk management and drought preparedness, making noteworthy contributions to the disaster literature. The results advocate to strengthen the outreach and access of the social safety schemes in the drought-affected areas. Individuals are expected to build self-resilience to cost-effectively supplement the government limited efforts and capacity. These findings are important and equally applicable to the governments, policymakers and individuals residing in the other drought-affected regions with similar socio-economic characteristics of respondents. [ABSTRACT FROM AUTHOR]

This research synthesises two evaluations of a local level climate change adaptation and planning process in the southernmost coastal region, Kanyakumari, India which was supported through community-based appraisals. First, understanding the public perception of climate change factors is crucial in generating support for climate change response. Second, generating enough grass-root level support from the local population to assess the long-term climate change impacts on decision-making to design the adaptation strategies for sea-level rise. These two results highlight the level of understanding and awareness of climate change's impact by the local population in the coastal region of Kanyakumari. A well-designed questionnaire with structured interviews, to collect data on local knowledge and local perception of climate change and sea-level rise from 100 respondents was distributed each in 44 coastal villages in the study area. The finding showed that 20.7% of the local population have knowledge of climate change and its impacts and 18.4% of the population agreed that the impact of sea-level rise is experienced in the coastal region. This study is to provide insight into the communities' knowledge of the adaptive capacity of the local population to cope with climate change towards the treaty of sea-level rise. [ABSTRACT FROM AUTHOR]

Currently no standardized tools are available in the Indian languages to assess changes in cognition. Our objectives are to culturally adapt the Alzheimer's disease Assessment Scale–Cognitive Subscale (ADAS-Cog) for use in India and to validate the Tamil version in an urban Tamil-speaking older adult population. Two panels of key stakeholders and a series of qualitative interviews informed the cultural and linguistic adaptation of the ADAS-Cog-Tamil. Issues related to levels of literacy were considered during the adaptation. Validation of the ADAS-Cog-Tamil was completed with 107 participants − 54 cases with a confirmed diagnosis of mild-moderate dementia, and 53 age, gender and education matched controls. Concurrent validity was examined with the Vellore Screening Instrument for Dementia (VSID) in Tamil. Internal consistency using Cronbach's alpha, sensitivity and specificity data using the Area under the Receiver Operating Characteristics (AUROC) curve values were computed. Inter-rater reliability was established in a subsample. The ADAS-Cog-Tamil shows good internal consistency (α = 0.91), inter-rater reliability and concurrent validity (with VSID-Patient version: r = –0.84 and with VSID-Caregiver version: r = –0.79). A cut-off score of 13, has a specificity of 89% and sensitivity of 90% for the diagnosis of dementia. ADAS-Cog-Tamil, derived from a rigorous, replicable linguistic and cultural adaptation process involving service users and experts, shows good psychometric properties despite the limitations of the study. It shows potential for use in clinical settings with urban Tamil speaking populations. The English version of the tool derived from the cultural adaptation process could be used for further linguistic adaptation across South Asia. [ABSTRACT FROM AUTHOR]

Coastal districts of India being diverse in nature are under constant vulnerability to hazards. The article analyzes vulnerability as a function of exposure, sensitivity and adaptation capacity. We selected site-specific factors of exposure, sensitivity and adaptation for constructing the composite vulnerability index. Findings revealed very high and high vulnerability in the eastern coastal districts while western coastal districts experienced moderate and low vulnerability. High frequency of cyclone and storm surge, low socio-economic status and lack of basic amenities and facilities were found significant stressors for increasing vulnerability in coastal districts. Composite vulnerability index not only helped in analyzing causative factors of vulnerability but also proved to be an effective tool in identifying priority districts where efforts could be made to lessen vulnerability. The study calls for policy measures to reduce vulnerability and safeguard the coastal communities from the risk of disasters. [ABSTRACT FROM AUTHOR]