scholarly journals Vulnerabilite des moyens d'existence des menages ruraux au changement climatique: analyse comparative des territoires montagneux et littoraux des zones arides tunisiennes

New Medit ◽  
2021 ◽  
Vol 20 (4) ◽  
Author(s):  

This paper presents a livelihood vulnerability assessment and compares the levels of exposure, sensitivity and adaptation to climate change of the local populations in mountains area and coastal plains in Tunisian arid regions. The United Nations Intergovernmental Panel on Climate Change vulnerability index (LVI-IPCC) has been adapted and applied to assess this livelihood vulnerability, based on socio-economic surveys and semi-structured interviews with the local populations. Findings show that households in coastal plains are more vulnerable in terms of socio demographic profile, food security, social networks, access to water and climate variability. This territory is much more exposed to climate change, despite being slightly less sensitive. On the other hand, households in mountainous territory are more vulnerable in terms of livelihood strategies, land tenure and health, despite their adaptation capacity, which reduces their vulnerability to climate change. Based on this vulnerability assessment, this work suggests specific adaptation strategies and measures for livelihoods sustainability in each territory.


Author(s):  
Stefan Greiving ◽  
Marc Zebisch ◽  
Stefan Schneiderbauer ◽  
Mark Fleischhauer ◽  
Christian Lindner ◽  
...  

Purpose – This paper aims to propose a collaborative approach toward an integrated vulnerability assessment to climate change in Germany that attempts to bridge the gap between scientific output and policy demand. Design/methodology/approach – Conceptually, the approach follows the definition of vulnerability as used by the Intergovernmental Panel on Climate Change, but it has modified this basic concept. It clearly distinguishes between three time slices (presence, near and remote future) not only regarding the change in the climatic conditions but also socio-economic development trends. Findings – The paper concentrates on the selected methodological framework, the collaborative research design and those preliminary results of the nationwide vulnerability assessment that are transferable to other settings. Practical implications – A Vulnerability Network (“Netzwerk Vulnerabilitaet”) emerged from an applied research project commissioned under the Adaptation Action Plan of the German Strategy for Adaptation to Climate Change by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the Federal Environment Agency. The assessment serves as evidence basis for the implementation of the German Adaptation Strategy. Thus, all relevant federal authorities and agencies are represented in the Vulnerability Network. Originality/value – The approach is the first really integrative vulnerability assessment for the whole Germany, as it considers not only 16 sectors but also interconnections between these sectors and cumulative effects for three different time slices. Moreover, the normative component of the assessment was clearly separated from the analytic one. The Vulnerability Network as a whole has been responsible for all normative decisions to be taken during the assessment procedure thus ensuring a wide understanding and acceptance of commonly achieved results.



Author(s):  
Renato J. Orsato ◽  
Simone R. Barakat ◽  
José Guilherme F. de Campos

Purpose This paper aims to investigate how organizational learning (OL) affects the development of anticipatory adaptation to climate change in companies. Because the need to learn increases in circumstances of greater uncertainty such as the case of climate change, one of the processes that can explain different levels of anticipatory adaptation to climate change (AACC) by companies is OL. Design/methodology/approach The research uses a case study design. Following the procedures of qualitative sampling, an exemplary case of organizational adaptation to climate change in a sector that is extremely affected by the impacts of weather events was chosen. Empirical data collection includes semi-structured interviews and the collection of private and public documents. Such data were analyzed through thematic analysis. Findings The process of OL for anticipatory adaptation to climate change presents substantial differences from the traditional OL process presented by the specialized literature. In particular, the concepts of single- and double-loop learning were challenging to fit into the learning processes required for AACC. Originality/value Organizations have historically been working towards the adaption to external unforeseen events, but anticipatory adaptation to climate change presents new challenges and requires new forms of learning. Previous research has examined the interplay between learning and climate change adaptation, especially at the inter-organizational level. By developing research at the organizational level, this paper addresses a gap in the literature and shows that the required learning to adapt to climate change differs from the traditional learning, described in the management literature.



2017 ◽  
Author(s):  
Sri Rum Giyarsih

Global warming is the increase in the average temperature of the Earth’s surface. According to the IPCC (Intergovernmental Panel on Climate Change) average temperature of the Earth’s surface was global warming is the increase in the average temperature of the 0.74 ± 0.18 0C (1.33 ± 0.32 F) over the last hundred years. The impact of rising temperatures is the climate change effect on agricultural production. If the community does not craft made adaptation to global warming will have an impact on food security. This research aims to know the society’s adaptation to food security as a result of global warming and to know the influence of global warming on food security. The research was carried out based on survey methods. The influence of global warming on food security is identified with a share of household food expenditure and the identification of rainfall. Sampling was done by random sampling. The Data used are the primary and secondary data. Primary Data obtained through structured interviews and depth interview using a questionnaire while the secondary data retrieved from publication data of the Central Bureau Statistics B(BPS), Department of Agriculture and Climatology Meteorology and Geophysics (BMKG). The expected results of the study is to know variations of food security due to global warming in Kulon Progo Regency. Comprehensive knowledge through community participation and related Government increased food security that is used as the basis for drafting the model society’s adaptation to the impacts of global warming.



2021 ◽  
Author(s):  
Alima Ogah ◽  
Tracey Crosbie ◽  
Theresia Komang Ralebitso-Senior

Abstract Background Climate change and its impact have taken centre stage in contemporary political economic discourse. Climate change is posing complex problems that far outweighs the solutions suggested by the conventional analytical tools used for guiding responses to major environmental challenges. This is particularly the case in developing countries like Nigeria. Unsurprisingly the concept of community resilience towards climate change has received a great deal of attention from researchers and policy makers. However, community resilience is a contested concept, which leads to disagreement about the methods of achieving it. The nature of community resilience makes the measurement of the efficiency of the policies designed to increase community resilience problematic, particularly in developing countries where limited funds must be prioritised. Methods The research presented uses a Grounded Delphi Method (GDM) to identify how experts in Nigeria define community resilience and reach a consensus on its measurement in Nigeria’s context and other developing nations. The data collection involved three rounds of Delphi with a panel of 21 experts, the first round employed semi-structured interviews, following the exploratory Delphi approach, and subsequent rounds employed online surveys. Findings: The findings indicate that there is a process of stages that communities need to go through to become resilient to climate change. These begin with coping with climate change, followed by adaptation to climate change with the final stage being transformation in the face of climate change. Twenty indicators are identified categorised under eight elements that are suitable for measuring community resilience at the different stages of this process. It is interesting to note that the experts in Nigeria who participated in the study excluded notions of transformation in their conceptualisation of community resilience illustrating a potential gap in their perceptions of the requirements for how communities can become fully resilient. Conclusion This research provides a method of prioritising specific, measurable indicators to inform policies designed to reduce the impacts of climate change by supporting community resilience in the context of developing countries with limited funding.



Geosciences ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 305 ◽  
Author(s):  
Elena Sesana ◽  
Alexandre Gagnon ◽  
Chiara Bertolin ◽  
John Hughes

Changes in rainfall patterns, humidity, and temperature, as well as greater exposure to severe weather events, has led to the need for adapting cultural heritage to climate change. However, there is limited research accomplished to date on the process of adaptation of cultural heritage to climate change. This paper examines the perceptions of experts involved in the management and preservation of cultural heritage on adaptation to climate change risks. For this purpose, semi-structured interviews were conducted with experts from the UK, Italy, and Norway as well as a participatory workshop with stakeholders. The results indicate that the majority of interviewees believe that adaptation of cultural heritage to climate change is possible. Opportunities for, barriers to, and requirements for adapting cultural heritage to climate change, as perceived by the interviewees, provided a better understanding of what needs to be provided and prioritized for adaptation to take place and in its strategic planning. Knowledge of management methodologies incorporating climate change impacts by the interviewees together with best practice examples in adapting cultural heritage to climate change are also reported. Finally, the interviewees identified the determinant factors for the implementation of climate change adaptation. This paper highlights the need for more research on this topic and the identification and dissemination of practical solutions and tools for the incorporation of climate change adaptation in the preservation and management of cultural heritage.



2019 ◽  
Vol 11 (21) ◽  
pp. 6051 ◽  
Author(s):  
Hyun Il Choi

According to the Intergovernmental Panel on Climate Change (IPCC) Reports, climate variability and changes increase the possibility of extreme weather events causing climate-related hazards and the risk of natural disasters. A storm is one of the most common and serious natural hazards that pose significant human and economic damage costs worldwide. The Korean Peninsula is also at persistent risk of hydro-meteorological disasters induced by rainstorms and typhoons due to geomorphological features and climate change impacts. This study has, therefore, proposed the damage vulnerability index for a spatial assessment of the damage vulnerability to storms, based on the IPCC’s vulnerability assessment concept. The damage vulnerability index is aggregated from the potential indicator for the potential damage targets, estimated by the population and major facility densities, and the risk indicator for the expected damage risk, estimated by the risk analysis for integrating both frequency and severity of human and economic damage cost records. The damage vulnerability index can assess regions vulnerable to the disaster damage induced by rainstorms, typhoons, and both, respectively, over the 231 administrative districts in the Republic of Korea. It is expected that the proposed damage vulnerability index can provide realistic and practical information on sustainable damage mitigation plans for the nationwide administrative districts against storm-induced disasters.



Climate ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 107
Author(s):  
Marin Akter ◽  
Rubaiya Kabir ◽  
Dewan Sadia Karim ◽  
Anisul Haque ◽  
Munsur Rahman ◽  
...  

Risk assessment of climatic events and climate change is a globally challenging issue. For risk as well as vulnerability assessment, there can be a large number of socioeconomic indicators, from which it is difficult to identify the most sensitive ones. Many researchers have studied risk and vulnerability assessment through specific set of indicators. The set of selected indicators varies from expert to expert, which inherently results in a biased output. To avoid biased results in this study, the most sensitive indicators are selected through sensitivity analysis performed by applying a non-linear programming system, which is solved by Karush-Kuhn-Tucker conditions. Here, risk is assessed as a function of exposure, hazard, and vulnerability, which is defined in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), where, exposure and vulnerability are described via socioeconomic indicators. The Kolmogorov-Smirnov statistical test is applied to select the set of indicators that are the most sensitive for the system to assess risk. The method is applied to the Bangladesh coast to determine the most sensitive socioeconomic indicators in addition to assessing different climatic and climate change hazard risks. The methodology developed in this study can be a useful tool for risk-based planning.



2021 ◽  
Vol 4 (3) ◽  
pp. 147-163
Author(s):  
Kapil Dhungana ◽  
Harish Bahadur Chand ◽  
Dinesh Bhandari ◽  
Abhishek Kumar ◽  
Sanjay Singh ◽  
...  

The current study uses the livelihood vulnerability index (LVI) and the Intergovernmental Panel on Climate Change livelihood vulnerability index (IPCC-LVI) approaches to assess household’s livelihood vulnerability in the Dipang watershed located in the Central Himalayan region of Nepal. Primary data was collected through various participatory rural appraisal (PRA) tools such as direct observation, key informant interviews (KIIs), focus group discussions (FGDs) and household surveys. Similarly, data on climatic variables were collected from the nearby meteorological station over 30 years (1987-2018). The mean annual average temperature increased by 0.036°C while the average rainfall decreased by 2.30 mm. Respondents perceived a similar trend of rising temperatures, decreasing rainfall intensity, dryness in the atmosphere, and dwindling water sources. The overall LVI score (0.416) indicated that the households are vulnerable to climate change. Food (0.642) and natural disasters and climate variability (0.566) were the most vulnerable among all contributing factors. Similarly, the overall LVI-IPCC score (0.104) indicated that the households were moderately vulnerable due to high exposure (0.566), sensitivity (0.448), and low adaptive capacity (0.334). The study findings suggest an urgent need to reduce high exposure to climate risks, improved livelihood strategies, and boost agricultural productivity and health in the watershed area.



Abstract Increased cooperation of an interdisciplinary group of climate change professionals as a social network can play a crucial role in adaptation to climate change. To investigate this relationship at the country-scale, this study uses a case study in Iran in order to 1) measure the cooperative relationship among climate change professionals using the network analysis approach, and; 2) analyze the potential of the network in promoting adaptation measures based on sustainable development. Social network analysis, which is both a quantitative and qualitative method of grounded theory was used to analyze the data. Data collection was performed using two questionnaires including network analysis and a survey, as well as a number of semi-structured interviews with the climate change professionals. The data was collected from climate change professionals including a sample of 55 individuals who were surveyed as a complete network. The network relationship results have been analyzed using different tests at three (micro, macro and the interactions between the two) levels. The results have shown that the connectedness of the network is 23.7%, with 42.4% mutual links. The transitivity rate in the network is 51.39%, which determines the possibility of each professional communicating with a third party. According to the normalized degree index, 34.29% of the cases are in contact with other researchers in the network and 53.15% received a connection from others. Grounded theory analysis showed that five core categories including social capital, managerial factors, research, relations, and coordination affected the quality and utility of Iranian climate change professionals’ network.



2013 ◽  
Vol 6 (1) ◽  
pp. 61-68 ◽  
Author(s):  
R. Jacinto ◽  
M. J. Cruz ◽  
F. D. Santos

Abstract. The project ADAPTACLIMA, promoted by EPAL, the largest Portuguese Water Supply Utility, aims to provide the company with an adaptation strategy in the medium and long term to reduce the vulnerability of its activities to climate change. We used the four scenarios (A1, A2, B1, B2) adopted in the Special Report Emissions Scenarios (SRES) of the IPCC (Intergovernmental Panel on Climate Change) to produce local scenarios of water use. Available population SRES for Portugal were downscaled to the study area using a linear approach. Local land use scenarios were produced using the following steps: (1) characterization of the present land use for each municipality of the study area using Corine Land Cover and adaptation of the CLC classes to those used in the SRES; (2) identification of recent tendencies in land use change for the study area; (3) identification of SRES tendencies for land use change in Europe; and (4) production of local scenarios of land use. Water use scenarios were derived considering both population and land use scenarios as well as scenarios of change in other parameters (technological developments, increases in efficiency, climate changes, or political and behavioural changes). The A2 scenario forecasts an increase in population (+16%) in the study area while the other scenarios show a reduction in the resident population (−6 to 8%). All scenarios, but especially A1, show a reduction in agricultural area and an increase in urban area. Regardless of the scenario, water use will progressively be reduced until 2100. These reductions are mainly due to increased water use efficiency and the reduction of irrigated land. The results accord with several projects modelling water use at regional and global level.



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