Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya,India

Climate Vulnerability Index (CVI) is being proposed to assess climate change vulnerability of communities with a case study. The index consists of household parameters of all the three dimensions of vulnerability such as Exposure, Sensitivity and Adaptive Capability. Exposure is defined by ‘Natural disaster and Climate variability’, however Sensitivity by ‘Health’, Food’, and ‘Water’ and Adaptive Capability by ‘Socio-demographic profile’, ‘Livelihood strategies’, and ‘Social networks’. Respective parameters were based on the peers and literature. The CVI vulnerable status ranges from high (0) to low (1). Household questionnaire survey was undertaken from two regions namely, near to district (NDH) and away to district (ADH), in Srinagar, Uttrakhand, India. Data for desired parameters for CVI was collected from 50 randomly selected households. Data were aggregated using a composite index and differential vulnerabilities were compared. High vulnerability was observed for livelihood strategies, food and natural disaster for ADH households, and health and water for NDH households. It was found that the adaptive capability and sensitivity of ADH households was higher than NDH, however, exposure realization was similar in both the regions. The CVI was 0.69 and 0.64 for NDH and ADH, respectively, suggests high vulnerability to NDH households. This pragmatic CVI approach may be used to assess and monitor vulnerability under various stress condition, and/or evaluate potential program/ policy effectiveness in various data-scarce regions by comparing various anticipated scenarios with baseline. Further, the result obtained by index may have implications for developing adaptation or coping strategies to the region.     

Livelihoods, vulnerability and adaptation to climate change in Morogoro, Tanzania

This article examines farmers’ livelihood responses and vulnerability to climate variability and other stressors in Morogoro, Tanzania, to understand their implications for adaptation to climate change by agricultural households in developing world more generally. In Morogoro, agricultural households have extended cultivation, intensified agriculture, diversified livelihoods and migrated to gain access to land, markets and employment as a response to climatic and other stressors. Some of these responses have depleted and degraded natural resources such as forest, soil and water resources, which will complicate their living with climate change in the future. This will be particularly problematic to vulnerable groups such as women, children and pastoralists who have limited access to employment, markets and public services. In this light, fair adaptation to climate change by agricultural households in Morogoro and elsewhere in developing countries requires several complementary responses. Adaptation efforts should involve effective governance of natural resources because they function as safety nets to vulnerable groups. In addition, strengthening of national markets by infrastructure investments and institutional reforms is needed to give incentives to intensification and diversification in agriculture. Market participation also demands enhancement of human capital by public programs on health, education and wellbeing.     

中国粮食安全系统脆弱性评价及其驱动机制分析

从粮食安全系统的视角出发,运用VSD的脆弱性分析框架,从暴露性、敏感性、适应能力三个层面构建了中国粮食安全脆弱性评价指标体系,采用主成分分析方法对1991-2015年中国粮食安全脆弱性的暴露性、敏感性、适应能力进行定量分析,并探究了中国粮食安全脆弱性变化的总体趋势及其驱动因子。研究结果表明：（1）暴露性指数呈现出2阶段下降特征,年均下降0.121;敏感性指数呈现出快速上升和基本稳定的两阶段变化特征;适应能力指数则一直上升,年均提高0.117。（2）1991-2015年粮食安全系统脆弱性指数整体呈现下降趋势,表明中国粮食安水平有了明显提高;其变化过程可划分为1991-1999年、2000-2003年和2004-2015年三个阶段,第一、二阶段粮食安全水平的总体提高是基于“吃饱”水平上的提高,而第三阶段是基于“吃好”水平上的提高。（3）人均GDP、城镇化水平和城乡居民人均可支配收入四个因子共同驱动中国粮食安全脆弱性的变化,2000-2015年的第二阶段四因子对粮食安全脆弱性的驱动作用明显小于1991-1999的第一阶段,且第一驱动因子由第一阶段的农村居民人均可支配收入转变为第二阶段的人均GDP和城镇居民可支配收入。     

The vulnerability context of a savanna area in Mozambique: household drought coping strategies and responses to economic change

In this paper, we investigate the ways in which climate stressors and economic changes related to liberalisation alter the local vulnerability context. Household and key informant data from two villages in Mozambique are analysed. First, we explore how changes such as increased market integration, altered systems of agricultural support, land tenure change and privatisation of agro-industries may affect factors important for response capacity, including access to local natural resources, employment opportunities, and household labour and capital. Next, we investigate how people related to the market while coping with the 2002–2003 drought. The study reveals that there had been an increase in informal trade and casual employment opportunities; however, market relations were very unfavourable and as the drought intensified, smallholders were locked into activities that barely secured economic survival and which sometimes endangered long-term response capacity. Only a few large-scale farmers had the capital and skills necessary to negotiate a good market position in urban markets, thus securing future incomes. Inequality, social sustainability, vulnerability and natural resource use are all closely linked in the savannas. Hence, both climate change adaptation policies and sustainability measures need to target vulnerability context and the social and environmental stressors shaping it.     

Implications of indicator aggregation methods for global change vulnerability reduction efforts

Composite indices are used to assess and prioritize mitigation and adaptation strategies for addressing the impacts of global environmental change. We evaluate different aggregation tools for creating these indices and their potential effects on mitigation and adaptation efforts. We assess the association of each aggregation tool with different types of trade-offs, risk strategies, and the resulting spatial and statistical distribution of their composite scores. Four aggregation tools are investigated (Weighted Linear Combination, WLC; Ordered Weighted Average, OWA; Data Envelopment Analysis, DEA; Compromise Programming, CP) using an example of vulnerability to flooding in the eastern United States. The choice of aggregation tool affects vulnerability outcomes, decision risk strategies, and the prioritization of vulnerability reduction strategies. DEA produces the highest vulnerability scores, representing a risk averse strategy associated with pessimistic outcomes. WLC implies a neutral and fixed risk strategy. CP produces a range of outcomes from neutral (equivalent to the WLC) to pessimistic, depending on its parameters. OWA offers the highest flexibility to adjust the levels of trade-off and risk strategy, producing a range of vulnerability outcomes, from optimistic to pessimistic. The units of analysis, when prioritized across the different aggregation tools, are more consistent for the top ranked units. However, the differences in rank become substantial as the selection threshold score decreases. To obtain better informed vulnerability reduction strategies, we recommend to (i) address how trade-off and decision risk are embedded in the aggregation tool chosen, and (ii) evaluate their effect in the prioritization of mitigation and adaptation strategies being considered.     

Rural vulnerability to environmental change in the irrigated lowlands of Central Asia and options for policy-makers: A review

Climate change, land degradation and drought affect millions of people living in drylands worldwide. With its food security depending almost entirely on irrigated agriculture, Central Asia is one of the arid regions highly vulnerable to water scarcity. Previous research of land and water use in the region has focused on improving water-use efficiency, soil management and identifying technical, institutional and agricultural innovations. However, vulnerability to climate change has rarely been considered, in spite of the imminent risks due to a higher-than-average warming perspective and the predicted melting of glaciers, which will greatly affect the availability of irrigation water. Using the Khorezm region in the irrigated lowlands of northwest Uzbekistan as an example, we identify the local patterns of vulnerability to climate variability and extremes. We look at on-going environmental degradation, water-use inefficiency, and barriers to climate change adaptation and mitigation, and based on an extensive review of research evidence from the region, we present concrete examples of initiatives for building resilience and improving climate risk management. These include improving water use efficiency and changing the cropping patterns that have a high potential to decrease the exposure and sensitivity of rural communities to climate risks. In addition, changes in land use such as the afforestation of degraded croplands, and introducing resource-smart cultivation practices such as conservation agriculture, may strengthen the capacity of farmers and institutions to respond to climate challenges. As these can be out-scaled to similar environments, i.e. the irrigated cotton and wheat growing lowland regions in Central Asia and the Caucasus, these findings may be relevant for regions beyond the immediate geographic area from which it draws its examples.     

Combining hazard,exposure and social vulnerability to provide lessons for flood risk management

Flood risk assessments provide inputs for the evaluation of flood risk management (FRM) strategies. Traditionally, such risk assessments provide estimates of loss of life and economic damage. However, the effect of policy measures aimed at reducing risk also depends on the capacity of households to adapt and respond to floods, which in turn largely depends on their social vulnerability. This study shows how a joint assessment of hazard, exposure and social vulnerability provides valuable information for the evaluation of FRM strategies. The adopted methodology uses data on hazard and exposure combined with a social vulnerability index. The relevance of this state-of-the-art approach taken is exemplified in a case-study of Rotterdam, the Netherlands. The results show that not only a substantial share of the population can be defined as socially vulnerable, but also that the population is very heterogeneous, which is often ignored in traditional flood risk management studies. It is concluded that FRM measures, such as individual mitigation, evacuation or flood insurance coverage should not be applied homogenously across large areas, but instead should be tailored to local characteristics based on the socioeconomic characteristics of individual households and neighborhoods.     

The Dynamics of Rural Vulnerability to Global Change: The Case of southern Africa

Research on the agricultural impacts of global change frequently emphasizesthe physical and socioeconomic impacts of climate change, yet globalchanges associated with the internationalization of economic activity mayalso have significant impacts on food systems. Together, climate change andglobalization are exposing farmers to new and unfamiliar conditions.Although some farmers may be in a position to take advantage of thesechanges, many more are facing increased vulnerability, particularly in thedeveloping world. This paper considers the dynamics of agriculturalvulnerability to global change through the example of southern Africa. Wedemonstrate that the combination of global and national economic changesis altering the context under which southern African farmers cope withclimate variability and adapt to long-term change. We find that farmers whoformerly had difficulty adapting to climatic variability may become lessvulnerable to drought-related food shortages as the result of tradeliberalization. At the same time, however, removal of national credit andsubsidies may constrain or limit adaptation strategies of other farmers,leaving them more vulnerable to climate variability and change.     

耕地转出对农民家庭贫困脆弱性的影响及其区域差异分析

关注耕地转出行为对农户贫困脆弱性的影响,对于农民家庭的持久脱贫及农村反贫困政策的制定意义重大。基于CFPS两期全国整合样本的面板数据,在对农户贫困脆弱性进行测算的基础上,运用倍差法、OLS模型及倾向得分匹配倍差法,实证检验耕地转出对农民家庭贫困脆弱性的影响及其区域差异。结果表明：（1）耕地转出行为的发生降低了农户的贫困脆弱性,是一种有效的扶贫手段,在帮助部分农户抵御收入风险上起到了积极作用;（2）耕地转出规模的扩大并未显著改善农户的贫困脆弱性状况;（3）控制变量也对农户贫困脆弱性产生了不同程度的影响,其中户主性别、户主年龄和家庭住房净资产显著正向影响农户的贫困脆弱性水平,而户主受教育程度、家庭劳动力数、健康状况、现金和存款数及当地经济发展水平等变量显著负向影响农户的贫困脆弱性水平;（4）耕地转出行为对农民家庭贫困脆弱性的影响呈现出一定的区域差异性,对东、中和东北地区农户贫困脆弱性的降低起到了显著促进作用,但对西部地区农户的减贫作用并不明显。     

Assessment of inherent vulnerability of forests at landscape level: a case study from Western Ghats in India

Assessment of vulnerability is an important step in building long-term resilience in the forestry sector. The objective of this paper is to present a methodological approach to assess inherent vulnerability of forests at landscape level. The approach involves use of vulnerability indicators, the pairwise comparison method, and geographic information system (GIS) tools. We apply this approach to assess the inherent vulnerability of forests of the Western Ghats Karnataka (WGK) landscape, which is a part of the Western Ghats biodiversity hotspot in India. Four vulnerability indicators, namely biological richness, disturbance index, canopy cover, and slope, are selected. We find that forests in 30, 36, 19, and 15 % grid points in this region show low, medium, high, and very high inherent vulnerability, respectively. The forest showing high and very high inherent vulnerability are mostly dry deciduous forests and plantations located largely on the eastern side of the landscape. We also find that canopy cover is one of the key indicators that determine the inherent vulnerability of forests, and natural forests are inherently less vulnerable than man-made plantations. Spatial assessment of inherent vulnerability of forests at landscape level is particularly useful for developing strategies to build resilience to current stressors and climate change in future.     

基于三角模型的烟台市海洋经济脆弱性评价

随着我国海洋发展战略的快速推进,海洋资源耗竭与生态环境问题频发,海洋经济脆弱性日益引人关注。本文基于三角模型,从压力、敏感性和应对性三个方面构建了沿海城市海洋经济系统脆弱性评价指标体系,并以我国最早的沿海开放城市烟台作为研究区域,对其海洋经济系统脆弱性状态与趋势进行评价分析。研究表明:2004-2014年,烟台市海洋经济系统脆弱性状态由中脆弱度下降为低脆弱度,整体来看,海洋经济系统的脆弱性状态不断降低,而未来系统的脆弱性将以敏感性为主导;系统的脆弱性变化趋势由早期的无序发展转向了后期的T5（低脆弱度）方向,中后期系统脆弱性稳定有序降低,表明烟台市海洋经济持续向好发展,已进入良性发展轨道。     

胶州湾海岸带环境脆弱性分析

本文以胶州湾为研究区,在对导致海岸带脆弱性的各种压力进行定量化分析的基础上,构建具有针对性的海岸带环境脆弱性评估模型,对胶州湾环境脆弱性进行有效判别。研究发现,由人为排放污染物导致的海洋环境质量下降,是致使胶州湾生态系统脆弱性的直接原因。虽然作为压力因素的气候变化和城市化指标对脆弱性指数的直接贡献率不大,但是作为导致海岸带环境脆弱性的根本因素,随着气候变化趋势的不断显现和人类对海岸带开发利用程度的不断加剧,海岸带脆弱性不断增加的趋势是必然的。因此应该在控制直接影响环境的排污行为的基础上,有效控制对海岸带生态和环境产生影响的各种压力,以从根本上避免海岸带生态和环境脆弱性不断加剧。     

全球变化下的适应性及其研究进展

全球变化及其相关的适应性研究是当前地学领域研究的焦点问题之一。在综述国内外相关研究成果的基础上,辨析全球变化、适应性等相关概念,梳理适应性研究的发展进程和侧重点,将其归纳为依附脆弱性研究和独立研究两大类。其中,依附脆弱性研究将脆弱性看作是适应能力的函数,研究主要集中在脆弱性评价下的适应指数研究、影响子因素分层研究与策略研究等几大部分;而独立适应性研究,通过构建完整的体系,研究集中在以指标评价法为代表的适应能力研究和以情景模拟法为代表的适应策略预测分析上。地学研究强调适应性的尺度问题,未来需加强对不同尺度规模适应性研究的定量分析,建立跨尺度适应性研究框架;深入研究城市适应全球变化的能力与策略;同时加强适应性研究相关技术和工具的开发,以提高适应能力评估的准确性及适应策略的科学性。     

Forest policies and programs affecting vulnerability and adaptation to climate change

Due to large scale afforestation programs and forest conservation legislations, India’s total forest area seems to have stabilized or even increased. In spite of such efforts, forest fragmentation and degradation continues, with forests being subject to increased pressure due to anthropogenic factors. Such fragmentation and degradation is leading to the forest cover to change from very dense to moderately dense and open forest and 253 km² of very dense forest has been converted to moderately dense forest, open forest, scrub and non-forest (during 2005–2007). Similarly, there has been a degradation of 4,120 km² of moderately dense forest to open forest, scrub and non-forest resulting in a net loss of 936 km² of moderately dense forest. Additionally, 4,335 km² of open forest have degraded to scrub and non-forest. Coupled with pressure due to anthropogenic factors, climate change is likely to be an added stress on forests. Forest sector programs and policies are major factors that determine the status of forests and potentially resilience to projected impacts of climate change. An attempt is made to review the forest policies and programs and their implications for the status of forests and for vulnerability of forests to projected climate change. The study concludes that forest conservation and development policies and programs need to be oriented to incorporate climate change impacts, vulnerability and adaptation.     

Simulating impacts,potential adaptation and vulnerability of maize to climate change in India

Climate change associated global warming, rise in carbon dioxide concentration and uncertainties in precipitation has profound implications on Indian agriculture. Maize (Zea mays L.), the third most important cereal crop in India, has a major role to play in country’s food security. Thus, it is important to analyze the consequence of climate change on maize productivity in major maize producing regions in India and elucidate potential adaptive strategy to minimize the adverse effects. Calibrated and validated InfoCrop-MAIZE model was used for analyzing the impacts of increase in temperature, carbon dioxide (CO₂) and change in rainfall apart from HadCM3 A2a scenario for 2020, 2050 and 2080. The main insights from the analysis are threefold. First, maize yields in monsoon are projected to be adversely affected due to rise in atmospheric temperature; but increased rainfall can partly offset those loses. During winter, maize grain yield is projected to reduced with increase in temperature in two of the regions (Mid Indo-Gangetic Plains or MIGP, and Southern Plateau or SP), but in the Upper Indo-Gangetic Plain (UIGP), where relatively low temperatures prevail during winter, yield increased up to a 2.7°C rise in temperature. Variation in rainfall may not have a major impact on winter yields, as the crop is already well irrigated. Secondly, the spatio-temporal variations in projected changes in temperature and rainfall are likely to lead to differential impacts in the different regions. In particular, monsoon yield is reduced most in SP (up to 35%), winter yield is reduced most in MIGP (up to 55%), while UIGP yields are relatively unaffected. Third, developing new cultivars with growth pattern in changed climate scenarios similar to that of current varieties in present conditions could be an advantageous adaptation strategy for minimizing the vulnerability of maize production in India.     

Biofuels production in developing countries: assessing tradeoffs in welfare and food security

In light of the recent rise in global food prices, much of the literature on crop-based biofuel production focuses on the potential impacts on food security. Studies have identified linkages between the usage of feedstocks in biofuel production and international food price increases. In addition, these studies indicate that food prices are expected to continue to rise over the next decade in response to biofuel consumption targets adopted in the U.S. and E.U. Despite these indications, some countries for whom food security and poverty reduction are still an issue have initiated crop-based biofuel development and set forth national blending targets for energy use within the transportation sector. As a result, a broader examination of the tradeoffs concerning welfare and food security related to biofuel development merit consideration. Opportunities to generate income and expand agricultural production technology through biofuel development may provide welfare gains that can improve purchasing power and decrease vulnerability to price shocks for food and energy. In addition, biofuel production schemes that promote alternative energy sources for household uses can improve productivity and health, especially for women and children. To assist with the sector development that maximizes welfare gains, we suggest a number of key indicators that might be useful in constructing a typology that can be applied across countries to characterize their energy needs and better target the types of bioenergy uses that might be best suited for them. In addition, biofuel production models are reviewed and best-practices identified that can expand welfare gains for smallholders and the poor. Through these examples, we demonstrate a basis upon which policymakers might approach the prioritization of their national strategies towards developing renewable energy sources, such that they can have the maximum impact upon important goals of human welfare and development.     

Igniting change in local government: lessons learned from a bushfire vulnerability assessment

Local governments and communities have a critical role to play in adapting to climate variability and change. Spatial vulnerability assessment is one tool that can facilitate engagement between researchers and local stakeholders through the visualisation of climate vulnerability and the integration of its biophysical and socio-economic determinants. This has been demonstrated through a case study from Sydney, Australia where a bushfire vulnerability assessment was undertaken as the first-step in a project to investigate local government perceptions of climate vulnerability and adaptive capacity. A series of relevant biophysical and socio-economic indicators was identified that represented the region’s exposure, sensitivity and adaptive capacity with respect to bushfires. These indicators were then combined to develop maps of net landscape vulnerability to bushfire. When presented in a workshop setting, vulnerability maps were successful in capturing the attention of stakeholders while simultaneously conveying information regarding the diversity of drivers that can contribute to current and future vulnerability. However, stakeholders were reluctant to embrace representations of vulnerability that differed from their own understanding of hazard, necessitating the demonstration of agreement between the vulnerability assessment and more conventional hazard assessment tools. This validation opened the door for public dissemination of vulnerability maps, the uptake and use of the assessment in local government risk assessment and adaptation planning, and more focused case-studies on barriers to adaptation.     

Food security and global environmental change: emerging challenges

Most research linking global environmental change and food security focuses solely on agriculture: either the impact of climate change on agricultural production, or the impact of agriculture on the environment, e.g. on land use, greenhouse gas emissions, pollution and/or biodiversity. Important though food production is, many other factors also need to be considered to understand food security. A recent international conference on “Environmental Change and Food Security: Bridging Science, Policy and Development for Adaptation” included a range of papers that embraced the multiple dimensions of the food systems that underpin food security. The major conclusion from the conference was that technical fixes alone will not solve the food security challenge. Adapting to the additional threats to food security arising from major environmental changes requires an integrated food system approach, not just a focus on agricultural practices. Six key issues emerged for future research: (i) adapting food systems to global environmental change requires more than just technological solutions to increase agricultural yields; (ii) tradeoffs across multiple scales among food system outcomes are a pervasive feature of globalized food systems; (iii) within food systems, there are some key underexplored areas that are both sensitive to environmental change but also crucial to understanding its implications for food security and adaptation strategies; (iv) scenarios specifically designed to investigate the wider issues that underpin food security and the environmental consequences of different adaptation options are lacking; (v) price variability and volatility often threaten food security; and (vi) more attention needs to be paid to the governance of food systems.     

A multi-criteria geographic information systems approach for the measurement of vulnerability to climate change

A flexible procedure for the development of a multi-criteria composite index to measure relative vulnerability under future climate change scenarios is presented. The composite index is developed using the Weighted Ordered Weighted Average (WOWA) aggregation technique which enables the selection of different levels of trade-off, which controls the degree to which indicators are able to average out others. We explore this approach in an illustrative case study of the United States (US), using future projections of widely available indicators quantifying flood vulnerability under two scenarios of climate change. The results are mapped for two future time intervals for each climate scenario, highlighting areas that may exhibit higher future vulnerability to flooding events. Based on a Monte Carlo robustness analysis, we find that the WOWA aggregation technique can provide a more flexible and potentially robust option for the construction of vulnerability indices than traditionally used approaches such as Weighted Linear Combinations (WLC). This information was used to develop a proof-of-concept vulnerability assessment to climate change impacts for the US Army Corps of Engineers. Lessons learned in this study informed the climate change screening analysis currently under way.     

Social Vulnerability to Climate Change and the Architecture of Entitlements

The objective of this paper is to outline a conceptual model of vulnerability to climate change as the first step in appraising and understanding the social and economic processes which facilitate and constrain adaptation. Vulnerability as defined here pertains to individuals and social groups. It is the state of individuals, of groups, of communities defined in terms of their ability to cope with and adapt to any external stress placed on their livelihoods and well-being. This proposed approach puts the social and economic well-being of society at the centre of the analysis, thereby reversing the central focus of approaches to climate impact assessment based on impacts on and the adaptability of natural resources or ecosystems and which only subsequently address consequences for human well-being. The vulnerability or security of any group is determined by the availability of resources and, crucially, by the entitlement of individuals and groups to call on these resources. This perspective extends the concept of entitlements developed within neo-classical and institutional economics. Within this conceptual framework, vulnerability can be seen as a socially-constructed phenomenon influenced by institutional and economic dynamics. The study develops proxy indicators of vulnerability related to the structure of economic relations and the entitlements which govern them, and shows how these can be applied to a District in coastal lowland Vietnam. This paper outlines the lessons of such an approach to social vulnerability for the assessment of climate change at the global scale. We argue that the socio-economic and biophysical processes that determine vulnerability are manifest at the local, national, regional and global level but that the state of vulnerability itself is associated with a specific population. Aggregation from one level to another is therefore not appropriate and global-scale analysis is meaningful only in so far as it deals with the vulnerability of the global community itself.