A social justice framing of climate change discourse and policy: Adaptation,resilience and vulnerability in a Jamaican agricultural landscape

It is now widely recognized that climate change is likely to have detrimental impacts across the Caribbean region, with the burden likely to fall disproportionately on the most vulnerable segments of society. It is therefore an appropriate time to ask whether the frameworks that lie behind climate change discourse and policy are consistent with the demands of social and environmental justice. In this paper, we use climate justice as a lens for evaluating three prominent frameworks for addressing climate change, those of adaptation, resilience, and vulnerability. Each of these discursive frameworks, we argue, can contribute to our understanding of climate change, but they do not all incorporate justice concerns to the same degree. In order to illustrate this, we examine the justice implications of using each of the three frameworks to assess a case study of agricultural transformation in Southwestern Jamaica. Farmers in this region have adapted to changing climate conditions in a variety of ways, including the use of new agricultural technology. The ability of many farmers to take advantage of such innovations, however, is constrained by the underlying landscape of vulnerability within the region. After interpreting this example from the perspectives of adaptation, resilience and vulnerability, we conclude that all three paradigms are capable of calling attention to climate justice issues, but only in the vulnerability perspective are such issues intrinsic. We believe, therefore, that a greater attention to vulnerability within Caribbean climate policy holds the potential to advance the goals of climate justice within the region.     

中国冻土对气候变化的脆弱性

冻土的脆弱性是指冻土对气候变化的脆弱性,是冻土易受气候变化,尤其是温度变化不利影响的程度. 研究冻土对气候变化的脆弱性是提高对自然生态系统、工程系统、生态-社会-经济系统对冻土变化影响的脆弱性的认知,科学适应冻土变化诸种影响的前提和基础. 基于科学性与实际相结合的原则、全面性与主导性原则、可操作性原则,以暴露度、敏感性与适应能力为标准,遴选构建了我国冻土脆弱性评价指标体系. 借助RS与GIS技术平台,使用空间主成分方法,构建了冻土脆弱性指数模型,在区域尺度上综合评价了冻土的脆弱性. 依据自然分类法,将冻土脆弱性分为潜在脆弱、轻度脆弱、中度脆弱、强度脆弱与极强度脆弱5级. 结果表明：总体上我国冻土以中度脆弱为主,但青藏高原多年冻土对气候变化尤为脆弱;冻土脆弱性具有显著的地域分布特点,青藏高原、西部高山、东北多年冻土区脆弱性相对较高,季节冻土区相对较低. 与季节冻土相比,多年冻土对气候变化更脆弱. 在当前升温幅度条件下,冻土脆弱程度主要取决于冻土的地形暴露与冻土对气候变化的适应能力.     

Differential impacts of climate change on communities in the middle hills region of Nepal

There is a growing understanding that the impacts of climate change affect different communities within a country, in a variety of ways—not always uniformly. This article reports on research conducted in the middle hills region of Nepal that explored climate change vulnerability in terms of exposure, sensitivity and adaptive capacity across different well-being groups, genders of the head of household and household location. In the study region, dry land farming has increasingly experienced climate-induced changes to farm productivity and natural resources. The experience of vulnerability to decreased livelihood options and natural resource hazards due to a changing climate varied according to household wealth and well-being status, with very poor and poor households more vulnerable than medium and well-off households. The research indicates that the climate change adaptation would benefit by considering: (i) differential impacts of vulnerability mainly based on well-being status of households; (ii) understanding of the local socio-political context and underlying causes of vulnerability and its application; and (iii) identifying vulnerable populations for the units of vulnerability analysis and adaptation planning.     

基于PSR模型的地质遗迹景观脆弱性评价——以永福县为例

地质遗迹景观脆弱性是地质遗迹景观系统对人类活动和自然条件变化反映的重要指标,是评价地质遗迹景观可持续利用的重要指标。文章以永福县典型地质遗迹景观为例,运用地质遗迹景观脆弱性影响因素压力-状态-响应（PSR）模型,从压力、状态、响应3个层面选取17个评价指标,构建地质遗迹景观脆弱性评价指标体系,采用层次分析法（AHP）确定各项指标权重,并运用德尔菲专家咨询法建立5级地质遗迹景观脆弱性划分标准,最后通过综合评分法对永福县地质遗迹景观脆弱性进行评价。结果表明:永福县地质遗迹景观顶子山、小山峡评价值为16.797 0、19.142 1,属微度脆弱;福禄泉、石占溪瀑布评价值为 39.162 8、39.777 5,属低度脆弱;拉孝江、百寿河、板峡湖评价值为 58.546 5、52.330 5、 52.520 9,属中度脆弱;百寿岩、新村屯洞、永福岩评价值为 65.743 0、64.089 3、72.939 5,属高度脆弱,这与实地调查结果相吻合,反映出永福县地质遗迹现状,由此说明PSR模型评价地质遗迹景观脆弱性具有实用性。      

Identifying vulnerable areas of aquifer under future climate change (case study: Hamadan aquifer,West Iran)

Groundwater is the main source of water in arid and semi-arid regions, so it is very important to recognize vulnerable parts of aquifer under future climate change conditions. In this research, 16 climate models were evaluated based on weighting approach. HADCM3 and CGCM2.3.2a models were selected for temperature and precipitation prediction, respectively. LARS-WG was used for downscaling AOGCMs outputs. Results show that temperature increase by 1.4 °C and precipitation changes between +10 and ?6 % under B1 and A2 emission scenario, respectively. Runoff volumes will decrease by ?39 % under A2 emission scenario whereas runoff volume will increase by +12 % under B1 emission scenario. Simulation of groundwater head variation by MODFLOW software indicates higher groundwater depletion rate under A2 scenario compared to B1 scenario. Groundwater model outputs indicate that the most vulnerable part of the aquifer is located in the southwest region. Large number of extraction wells and low aquifer transmissivity are the reasons for high vulnerability of the region.     

We are not all the same!: Comparative climate change vulnerabilities among fishers in Old Harbour Bay,Jamaica

There is a general consensus that Small Island Developing States are among the most vulnerable to experience climate injustices. Vulnerability studies of climate change effects on communities have often focused on differences between communities given these climate injustices. However, there is a need to also focus on vulnerability within communities, referred to here as comparative vulnerabilities. Climate justice therefore becomes even more important with more focused attention given to the nuances within groups that fall within the vulnerable category. This article examines comparative vulnerabilities for the fishing community in Jamaica. A survey of 241 fishers from Old Harbour Bay, the largest fishing village in Jamaica, was conducted to examine the level of vulnerability of different fishers to climate change. A vulnerability index was constructed for the community and then comparative vulnerabilities were determined based on socio-demographic characteristics. Overall for the sample 46.9% of respondents would be considered as experiencing a comparatively high level of vulnerability to climate change. Climate change vulnerability was influenced by a number of socio-demographic variables with unique profiles emerging for groups that can be ranked as low, moderate, and high vulnerability. The paper therefore argues that within vulnerable populations there are comparative vulnerabilities based on economic factors and social capital, which must be taken into consideration for adaptation strategies to be implemented. Given these comparative vulnerabilities a more targeted approach to coping and adaptation strategies can then be taken. This will assist in building resilience of these communities that must now adjust to a new normal with climate change effects currently occurring.     

Vulnerability assessment through index modeling: a case study in Muriganga–Saptamukhi estuarine interfluve,Sundarban, India

The coastal regions, deltas, and estuaries are severely affected by the sea level rise and cyclonic activities and climate changes. Sundarban delta is one of the most mysterious landscapes in the world, which has successively evolved due to sediment accumulation by the great Ganga and Brahmaputra river system. The area is characterized by low-lying islands and a flat topography coupled with macro-tidal activities, powerful surges, and seasonal cyclonic events. All these conditions put together this landscape defenseless to frequent flood and erosion. Since the last hundred years, the face of Sundarban has been changed remarkably from wildest to human-occupied territory by protecting this low-lying flat plain from tidal inundation through artificial embankment. In this background, the current study attempts to highlight the spatial extent and magnitudes of internal risk factors of the region using the composite vulnerability index. Coastal vulnerability defines a system’s openness to flood and erosion risk due to hydrogeomorphic exposures and socio-economic susceptibility in conjunction with its capacity/incapacity to be resilient and to cope, recover, or adapt to an extent. Coastal vulnerability assesses the potential risk from erosion and flooding of any low-lying coastal region due to its physiographical and hydrological exposures, socio-economic and political susceptibility, and resilience capacity. A natural system affects the socio-economic scenario of any region. Hence, multidimensional databases can be more effective to understand the extent of exposure, susceptibility, and resilience of any system. To throw some light on the situation of vulnerability of western estuarine Sundarban, between Muriganga and Saptamukhi interfluve, the composite vulnerability index has been carried out to delineate the magnitude and spatial extent of vulnerability with the help of quantitative techniques and geospatial tools. The estuarine tracts and coastal parts of the Ganga delta are two of the most densely populated areas in the world. The study highlights the critical situation of the population under different potential risk classes residing in the study area with the intention of suggesting some proper course of action of planning and management to conserve coastal communities in their original habitat.     

Ancient Forests in European drylands: Holocene palaeoecological record of Mazarrón,south-eastern Spain

This paper presents a new Holocene palaeoecological record from coastal south-eastern Spain, a region characterised by high plant species diversity, varied physiography, high risk of desertification, and a history of human pressure on the landscape that stretches to antiquity. The pollen sequence shows four main vegetation phases: the first characterised by mixed forests of Pinus and evergreen Quercus accompanied by broad-leaved mesophilous trees, and a diversity of Mediterranean scrub; the second phase is characterised by mesophytic decline and expansion of Artemisia; a third, mid-Holocene phase of thermo-mesophytic maxima with prevalence of forested landscapes; and, finally, the progressive opening of the landscape with sparse pines, halo-xerophytic grasslands and sclerophyllous brushwood. The current treeless situation of south-eastern Spain is a relatively recent feature resulting from a dramatic change in the ecological structure of the regional landscapes. This paper stresses the continued vulnerability of these arid systems in the face of a changing climate. This sequence adds to previous palaeobotanical records (pollen and charcoal) and archaeological reports to suggest that deforestation started earlier in low-elevation areas and river basins than in the inland mountains and platforms, a factor that appears in connection to human exploitation of the natural environment.     

Risk,perception and adaptation to climate change: evidence from arid region,India

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.

     

A flood vulnerability index for coastal cities and its use in assessing climate change impacts

Worldwide, there is a need to enhance our understanding of vulnerability and to develop methodologies and tools to assess vulnerability. One of the most important goals of assessing coastal flood vulnerability, in particular, is to create a readily understandable link between the theoretical concepts of flood vulnerability and the day-to-day decision-making process and to encapsulate this link in an easily accessible tool. This article focuses on developing a Coastal City Flood Vulnerability Index (CCFVI) based on exposure, susceptibility and resilience to coastal flooding. It is applied to nine cities around the world, each with different kinds of exposure. With the aid of this index, it is demonstrated which cities are most vulnerable to coastal flooding with regard to the system??s components, that is, hydro-geological, socio-economic and politico-administrative. The index gives a number from 0 to 1, indicating comparatively low or high coastal flood vulnerability, which shows which cities are most in need of further, more detailed investigation for decision-makers. Once its use to compare the vulnerability of a range of cities under current conditions has been demonstrated, it is used to study the impact of climate change on the vulnerability of these cities over a longer timescale. The results show that CCFVI provides a means of obtaining a broad overview of flood vulnerability and the effect of possible adaptation options. This, in turn, will allow for the direction of resources to more in-depth investigation of the most promising strategies.     

气候变化影响下水资源脆弱性评估方法及其应用

气候变化和人类活动影响下的水资源脆弱性评价,是将气候变化影响纳入水资源规划管理、提出缓解气候变化不利影响的适应性对策的重要科学依据。针对与气候变化影响的水资源系统的敏感性和抗压性相联系的脆弱性与适应性问题,提出变化环境下水资源脆弱性评估理论体系和一般性公式。进一步,以水资源供需安全为出发点,采用温度、降雨双参数弹性系数和有水资源基础,直观、简单的水资源关键性指标体系方法,提出气候变化和人类活动背景下水资源脆弱性评估模型。将模型应用于缺水最严重的海河流域,评价了现状和未来情境下流域水资源的脆弱性情况。结果表明:整体上海河流域水资源脆弱性偏高,且平原区较山区更脆弱;气候因素对流域水资源的脆弱性影响明显,未来如不采取措施,海河流域的水资源脆弱性将进一步加重。     

Seasonal and Interannual Sea Surface Temperature Variability in the Coastal Cities of Arabian Sea and Bay of Bengal

The sea surface temperature (SST) variations play a veryimportant role in the genesis and maintenance of meteorological and oceanographic processessuch as monsoon depressions and subsequent floods, large-scale sea level fluctuationsand genesis of tropical cyclones. Many low lying coastal regions of South Asia are adjacentto river deltas and have large population. The dense population, poor economy and severalother socio-economic factors make these areas most vulnerable to the impact of climate change.Variability of sea surface temperature (SST) is importantas the duration and intensity of SST provide the basis for studies related to climatic changescenario. In this study an attempt has been made to estimate the recent SST trends in the coastalwaters of some cities, which lie on the Arabian Sea and Bay of Bengal. The annual andinterannual variability has also been studied. The SST variations have then been linkedwith the El Nino and La Nina events.The NOAA-NASA Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST fields from 1985-1998, created in the Jet Propulsion Laboratory(JPL), USA are used in this study. Here the quality of data is an important factor toobtain reliable estimates of Sea Surface Temperature (SST) trends and other related parameters.However, this is not possible with the conventional type data, due to low quality as wellas sparse data in the region. Though the satellite based SST climatologies have shorterobservation lengths, they can provide reliable estimates of recent SST variability overa large oceanic areas with sparse or no data.Increasing trend of SST is observed throughout all theseasons in the northern Arabian Sea extending from Oman to Karachi and Mumbai and furthersouth to Salalah and Colombo. However, in coastal islands stations further south ofIndia such as at Colombo the increment is not significant. Though the increasing trend in SSTduring winter is not significant, nevertheless it shows the increasing influence of coldspells on this Island. An interesting situation has been observed in the Bay of Bengal. On anaverage, increasing trends in the annual SST were observed in Visakhaputnam. But at thestations located in the northeastern part of Bay of Bengal, namely Hiron Point and Cox'sBazar reverse conditions are observed. In the Southern Bay of Bengal variations in SST isnot significant which reflects in the SST analysis of Chennai and Port Blair stations. Locationof these stations at lower latitudes (near by equator) probably is the reason for this insignificantchange. It has been found that the interannual mode of SST variations dominate the linear SSTtrends which is characterized by the El Nino Southern Oscillations (ENSO) scale cycle.     

Geospatial analysis of Maize yield vulnerability to climate change in Nigeria

The fifth assessment report (AR5) predicted that land temperatures would rise faster over Africa than other global averages while changes in rainfall are uncertain across Sub-Saharan Africa. These portend water availability challenges with direct impacts on agricultural production. Existing studies on yield vulnerability in Nigeria are mostly at a national scale, which is not adequate for local decision making. This study provides a spatially explicit model of Maize yield vulnerabilities across the growing areas (GA). Thereby, turning available data into actionable information to support development actions. Yield vulnerability index was constructed as a relationship among exposure, yield sensitivity and adaptive capacity. Exposure was computed as the ratio between long and short-term climatic factors. Yield sensitivities were expressed as the ratio between expected and actual yield. Adaptive capacity was captured using a combination of socio-economic proxies. The result shows that Maize yields were vulnerable to climate variability across most of the GAs. Exposure values indicate a very high level of climate variability with the northern region more exposed. Yield sensitivity ranges between ranges 0.47 and 0.95, and highest along the northern extremes, moderate sensitivities were observed across large tracts of the north-west, northeast, south-east and south–south geopolitical regions. Adaptive capacity is highly variable ranging between 0.27 and 1. Yield vulnerability ranges between 0.46 and 1.51. The general assumption of a north–south divide for yield vulnerability was invalidated. Vulnerability is more disparate beyond latitudinal differences. The model presented, creates a framework to support targeted response, and opportunity for building resilience to climate change impact for crop yield.

     

The ‘oil vulnerability’ of commuter patterns: A case study from Yorkshire and the Humber,UK

Motorised transport infrastructure and increasingly specialised labour markets have resulted in energy intensive commuter patterns in many parts of the world. This is cause for concern due to the possibility of oil price shocks and the need to restrict the combustion of fossil fuels to minimise the chances of runaway climate change. The paper investigates methods to identify the spatial distribution and socio-demographic profiles of those who are vulnerable to high oil prices. It does this by use of four metrics of oil vulnerability which were developed using a spatial microsimulation model and applied to the case study region of Yorkshire and the Humber, UK. The metrics capture different aspects of vulnerability and highlight the importance of translating conceptual definitions into practical metrics. The geographically aggregated results coincide with the literature: rural areas are associated with the highest levels of vulnerability. The individual level results indicate that vulnerability can be prevalent even in seemingly resilient areas. Ultimately, we conclude that the social and spatial distribution of oil vulnerability depends on how an energy-constrained future is envisioned. Creating localised metrics about the future is a challenging task fraught with danger but could, provided that these metrics are interpreted with sufficient humility, aid the development of equitable policies to encourage resilience, as part of a worldwide transition away from fossil fuels.     

Comparison of the AVI,modified SINTACS and GALDIT vulnerability methods under future climate-change scenarios for a shallow low-lying coastal aquifer in southern Finland

A shallow unconfined low-lying coastal aquifer in southern Finland surrounded by the Baltic Sea is vulnerable to changes in groundwater recharge, sea-level rise and human activities. Assessment of the intrinsic vulnerability of groundwater under climate scenarios was performed for the aquifer area by utilising the results of a published study on the impacts of climate change on groundwater recharge and sea-level rise on groundwater–seawater interaction. Three intrinsic vulnerability mapping methods, the aquifer vulnerability index (AVI), a modified SINTACS and GALDIT, were applied and compared. According to the results, the degree of groundwater vulnerability is greatly impacted by seasonal variations in groundwater recharge during the year, and also varies depending on the climate-change variability in the long term. The groundwater is potentially highly vulnerable to contamination from sources on the ground surface during high groundwater recharge rates after snowmelt, while a high vulnerability to seawater intrusion could exist when there is a low groundwater recharge rate in dry season. The AVI results suggest that a change in the sea level will have an insignificant impact on groundwater vulnerability compared with the results from the modified SINTACS and GALDIT. The modified SINTACS method could be used as a guideline for the groundwater vulnerability assessment of glacial and deglacial deposits in inland aquifers, and in combination with GALDIT, it could provide a useful tool for assessing groundwater vulnerability to both contamination from sources on the ground surface and to seawater intrusion for shallow unconfined low-lying coastal aquifers under future climate-change conditions.     

Coastal vulnerability assessment based on multi-hazards and bio-geophysical parameters. case study - northwestern coastline of Guinea-Bissau

Natural Hazards - Guinea-Bissau's coasts are considered highly vulnerable to coastal hazards, and this vulnerability is expected to increase under future climate change scenarios. Multi-hazards...     

Numerical Modelling of Storm Surge in the Head Bay of Bengal Using Location Specific Model

The head Bay of Bengal region, which covers part of Orissa and west Bengal in India as well as Bangladesh, is one of the most vulnerable regions of extreme sea levels associated with severe tropical cyclones which cause extensive damage. There has been extensive loss of life and property due to extreme events in this region. Shallow nature of the Bay, presence of Ganga-Brahmaputra-Meghna deltaic system and high tidal range are responsible for storm surges in this region. In view of this a location specific fine resolution numerical modelis developed for the simulation of storm surges. To represent mostof the islands and rivers in this region a 3km grid resolution is adopted. Several numerical experiments are carried out to compute the storm surges using the wind stress forcings representative of 1974, 1985, 1988, 1989, 1991, 1994 and 1999 cyclones, which crossed this region. The model computed surges are in good agreement with the available observations/estimates.     

A comparative study of four vulnerability mapping methods in a detritic aquifer under mediterranean climatic conditions

This paper presents the results of a comparative study relating to the application of four vulnerability mapping methods, GOD, AVI, DRASTIC and SINTACS, in a pilot detritic aquifer situated in NW Morocco, known as the Martil–Alila aquifer. The principal objective of this work is to determine the most suitable such methods for this aquifer type within a Mediterranean context, and to show the effect of the rainfall variations that are characteristic of the Mediterranean climate on the degree of vulnerability. The methods applied distinguish five classes of vulnerability, these being irregularly divided up in space, with the division varying according to the method in question. The vulnerability maps obtained by the different methods strongly suggest that the eastern half of the aquifer is more vulnerable to contamination than the western half, for all hydrological situations. The effect of climatic conditions on the degree of vulnerability is well represented by the DRASTIC, according to which the aquifer is moderately to strongly vulnerable during humid hydrological years and weakly to moderately vulnerable during dry ones. For the other methods, this climatic effect is limited to the area occupied by the two predominant classes (“High” and “Low” for GOD and “High” and “Moderate” for SINTACS) while it is null for AVI. In conclusion, DRASTIC appears the most suitable for mapping the vulnerability to contamination of Mediterranean coastal detritic aquifers such as the Martil–Alila aquifer.     

Multi-topographical landscape: comparative vulnerability of climate-induced disaster-prone rural area of Pakistan

Pakistan, being an agro-based economy, is considered most vulnerable to the impacts of climate change. The country is susceptible to many natural catastrophes and climate-induced events due to intra-geographical and intra-topographical disparities. This paper is an attempt to measure the relative vulnerability of diverse topographies in rural areas of Pakistan using vulnerability and capacity index tool. The results are based on the findings of primary survey data (350 households from 17 rural communities). Accordingly, and as expected, the key relative differences are attributed to topographical conditions besides the basic quandary of rural areas of Pakistan. The topographical attributes are largely linked to the nature of hazards and relative impacts. While the other aspects of vulnerability in all topographies stem out of inappropriate infrastructure, low education, and institutional factors. The absence of multi-sectoral and productive economic opportunities also poses an adverse impact on the resilience of households in rural areas. The women and households headed by females are found relatively more vulnerable than male-headed households.

     

青木关岩溶槽谷地下水水源地固有脆弱性评价

岩溶地下水脆弱性评价是基于保护岩溶含水层从而有效地管理和利用地下水提出的有效方法和手段。我国西南岩溶区大多数地区缺少应有的地下水保护带,地下水比较容易受到污染。通过采用改进的斯洛文尼亚模式,考虑四个因子:覆盖层(O)、径流特征(C)、降雨条件(P)、岩溶发育程度(K),对重庆市青木关岩溶槽谷地下水水源地的固有脆弱性进行了定量评价。结果表明:流域范围内12.6%为高脆弱性地区;43%为中等脆弱性;44.4%为低脆弱性区域。消水洞及周边100m和消水河及其两边10m,以及岩溶管道发育地区为高脆弱性区。大部分岩溶区为中等脆弱性区。砂岩地区为低脆弱性地区。评价结果与实际吻合。该评价结果为各级决策部门合理规划利用和保护地下水资源提供简单明了的科学依据。该方法对于川东岩溶槽谷地区脆弱性评价有推广价值。