European winegrowers’ perceptions of climate change impact and options for adaptation

A questionnaire on the perception of climate change and the impact of climate change was distributed among winegrowers in France, Germany, and Italy. These countries are located in three macro-climatic regions that experienced different patterns of climatic change in the twentieth century—Atlantic, transition to Continental and Mediterranean. The majority of winegrowers perceived changing climatic conditions in the last few decades. The characterization of these changes is consistent with results obtained by the analysis of long-term trends in climatic records. The winegrowers noted impacts on harvestable quantities (mainly in Italy), must quality, and risks of pests and diseases. The majority of respondents (66%) indicated an impact on wine quality, which was perceived as quality improvement in 55% of the cases. Perceived impacts on pests and diseases were reported in 56% of the responses. A strong majority of this group (80%) also reported increasing threats. Perceived climatic change and its noticeable impacts has led to growing interest in adaptation options, combined with a need for more information, among winegrowers. Thus, the transfer of technical knowledge from scientific research to practice is necessary for adaptation. Plans for adaptation by a change of wine varieties were reported with substantially different results among the regions. A majority of German growers said they would consider changing varieties to adapt to warming temperatures, while only a minority of the Italian and French growers said they would consider such changes. However, readiness to adopt adaptation measures is correlated with the degree of changes already planned, independent of climatic change.     

Looking beyond the average agricultural impacts in defining adaptation needs in Europe

The effects of climate change on agriculture are often characterised by changes in the average productivity of crops; however, these indicators provide limited information regarding the risks associated with fluctuations in productivity resulting from future changes in climate variability that may also affect agriculture. In this context, this study evaluates the combined effects of the risks associated with anomalies reflected by changes in the mean crop yield and the variability of productivity in European agro-climatic regions under future climate change scenarios. The objective of this study is to evaluate adaptation needs and to identify regional effects that should be addressed with greater urgency in the light of the risks and opportunities that are identified. The results show differential effects on regional agriculture and highlight the importance of considering both regional average impacts and the variability in crop productivity in setting priorities for the adaptation and maintenance of rural incomes and agricultural insurance programmes.     

A guide towards climate change adaptation in the livestock sector: adaptation options and the role of robust decision-making tools for their economic appraisal

Economic appraisal and technical effectiveness of adaptation options are key criteria for judging climate change adaptation investment decisions in all sectors. Yet relatively little methodological guidance exists for determining the most appropriate appraisal techniques for different adaptation options. This paper provides adaptation options and scopes relevant appraisal methods in agriculture focussing on livestock production specifically. We find that for many adaptation options for livestock agriculture, standard (expected) cost-benefit analysis is an appropriate tool. For adaptation options requiring long lead times or those with long lifetimes, techniques incorporating uncertainty (‘robust’ methods) are more suitable, including real options analysis, portfolio analysis and robust decision-making. From a comprehensive list of adaptation options in the livestock sector, we identify the most appropriate appraisal technique for each option and describe how the robust appraisal tools could be applied to heat stress, flood risk and water management.

     

Assessing the economy-wide effects of climate change adaptation options of land transport systems in Austria

Due to climate change, transport systems are expected to become increasingly stressed by extreme weather and gradual climatic changes, resulting in direct costs within the affected sectors as well as indirect costs from sectoral interlinkages. To reduce these costs, sector-specific climate change adaptation measures are needed, raising the question of the net benefits of adaptation at a macroeconomic level. However, despite their importance such assessments of impacts and adaptation at the macrolevel are scarce and coarse in their implementation. This paper contributes to fill this research gap by analyzing specific adaptation measures for the road and rail sectors in Austria using a computable general equilibrium model. The findings are as follows: First, direct impact costs more than double due to macroeconomic linkages. Hence, the indirect costs are found to be larger than the direct costs. Second, when analyzing adaptation measures for the road and rail sectors, without capturing any indirect effects, benefit–cost ratios imply a clear benefit only for the rail sector. However, when indirect effects via sectoral interlinkages are also captured, adaptation measures in both sectors, road and rail, clearly pay off. Climate change-induced GDP and welfare losses are reduced by 55 and 34% and lead to positive employment effects. Third, even at rather low damage reduction potentials, adaptation leads to a net benefit at the macroeconomic level.

     

Forest fires caused by lightning as an indicator of connections between atmosphere,lithosphere, and biosphere

A significant positive correlation between the density of lightning fires and the horizontal gradient of anomalous geomagnetic field is demonstrated on the basis of studies on lichen pine forests in the Konda River basin (Khanty-Mansi Autonomous Area, Western Siberia) and analysis of published data. Schematic hypotheses of global connections in the atmosphere-lithosphere-forest-lightning fire are proposed.     

Combining qualitative and quantitative understanding for exploring cross-sectoral climate change impacts, adaptation and vulnerability in Europe

Climate change will affect all sectors of society and the environment at all scales, ranging from the continental to the national and local. Decision-makers and other interested citizens need to be able to access reliable science-based information to help them respond to the risks of climate change impacts and assess opportunities for adaptation. Participatory integrated assessment (IA) tools combine knowledge from diverse scientific disciplines, take account of the value and importance of stakeholder ‘lay insight’ and facilitate a two-way iterative process of exploration of ‘what if’s’ to enable decision-makers to test ideas and improve their understanding of the complex issues surrounding adaptation to climate change. This paper describes the conceptual design of a participatory IA tool, the CLIMSAVE IA Platform, based on a professionally facilitated stakeholder engagement process. The CLIMSAVE (climate change integrated methodology for cross-sectoral adaptation and vulnerability in Europe) Platform is a user-friendly, interactive web-based tool that allows stakeholders to assess climate change impacts and vulnerabilities for a range of sectors, including agriculture, forests, biodiversity, coasts, water resources and urban development. The linking of models for the different sectors enables stakeholders to see how their interactions could affect European landscape change. The relationship between choice, uncertainty and constraints is a key cross-cutting theme in the conduct of past participatory IA. Integrating scenario development processes with an interactive modelling platform is shown to allow the exploration of future uncertainty as a structural feature of such complex problems, encouraging stakeholders to explore adaptation choices within real-world constraints of future resource availability and environmental and institutional capacities, rather than seeking the ‘right’ answers.     

The emergence of climate change adaptation as a new field of public policy in Europe

Regional Environmental Change - Over the past decade, climate change adaptation has become an integral item on the climate policy agendas of several European countries. As such, researchers have...     

Farm income, gender differentials and climate risk in Cameroon: typology of male and female adaptation options across agroecologies

This paper explores the response to risk of smallholder agricultural producers in the face of variable and changing climate in Cameroon. The low rainfall distribution in some regions of the country and the high inter-seasonal variability of rainfall makes crop production, on which the livelihood of rural inhabitants is based, a risky enterprise. Women farmers in Cameroon are an important group for whom risk aversion influences production outcomes and welfare. This study identifies and analyses the effect of climate risks on the productive activities and the management options of male and female farmers. Women-owned farms, on average, record profits of US620 per hectare to about US 620 per hectare to about US 935 for crop enterprises across the different agroecological zones. Comparatively static results indicate that increases in climate variability and the uncertainty of climate conditions have an explicit impact on farm profit. The impacts of increased uncertainty in climate and risk aversion are ambiguous depending on the agroecology. Ex-ante and ex-post risk management options reveal that female-owned farms in the northern Sahel savannah zone rely on more sophisticated strategies to reduce the impact of shocks. While adapting to uncertain climate positively influences profit levels, risk measured as the variance of rainfall or temperature per unit variation in profit is significant. This analysis stresses the increased importance of climate risk management as a prelude to the panoply of adaptation choice in response to expected climatic change.     

Subjective realities of climate change: how mental maps of impacts deliver socially sensible adaptation options

This paper discusses the perceived impacts of weather-related extreme events on different social groups in New Delhi, India. Using network statistics and scenario analysis with the Fuzzy Cognitive Mapping as part of a vulnerability analysis, the investigation provides quantitative and qualitative measures to compare impacts and adaptation strategies for different social groups. Impacts of rain events and heat waves are considered and differ across groups. Rain events affect the lower income classes more, while heat waves are the bigger burden for higher income classes. Overall, the strength of perceived impacts is larger for lower income classes, directly threatening their daily incomes. Urban managers have no immediate feedback on their livelihood, but often refer to health issues. The strongest effect on ameliorating burdens is investments in schemes to ease traffic, e.g., by improving the sewage and drainage infrastructure paired with other supply side measures to enable transport of goods for lower income classes during rain. During heat events, improving the water supply situation would reduce burden for all, while constant electricity supply is an effective means in reducing burden for the higher income classes in particular. Our analysis suggests that improvements in the water supply and sewage infrastructure would be the most suitable first step to initiate a well-planned adaptation strategy for all social groups.     

Forest-ecological consequences of fires in light conifer forests of Transbaikalia

Consideration is given to the results of studies on the postfire dynamics of Transbaikal forests, which are formed under conditions of highly arid climate and extreme pyrological regime. Data are presented on tree die-off and recruitment in naturally burned forests and in test stands affected by creeping fires differing in intensity. The hydrothermal regime of soils, precipitation runoff, and its multifactor models are discussed. It is shown that fires aggravate moisture deficiency on mountain slopes, impair the productivity of tree stands, and cause their digression. The statistics of forest fires and the risk of lightning fires are analyzed.     

Storm surges: perspectives and options

This review paper attempts to summarize the scattered and fragmented knowledge about past and possible future changing storm-surge statistics using the particularly well-studied case of the North Sea as an example. For this region, a complete and robust analysis methodology has been developed in recent years. This methodology is based on dynamical and statistical models. Using the concept of dynamical downscaling, development during recent decades, when sufficiently good and homogeneous weather data exist, has been “reconstructed,” and scenarios of possible future change are described. “Localization” allows estimation of changes at specific sites, e.g., harbors. As local water-level statistics depend not only on climate variations but also on local modifications of the local bathymetry, new options for adaptation emerge. For the case of Hamburg, an option for such future adaptations is discussed.     

Tsunami hazards in Europe

Tsunami represents one of the most potentially serious forms of coastal flood risk. Although much is known on the recorded history of tsunamis for given areas of the world, very little information is available on the occurrence of palaeotsunamis during prehistory. This is of fundamental importance in calculating tsunami flood risk for any given coastal area. Given sufficient information on past tsunami activity for a particular coastal area, the numerical calculation of aggregate coastal flood risk (including tsunami) for a coastal area is very difficult to estimate since one needs also to take into account the risk of a tsunami and a storm surge taking place simultaneously during a high tide. Estimates of coastal flood risk also need to consider future changes in relative sea level caused by the combined effects of global climate change and vertical movements of the lithosphere.     

Cocaine and cannabinoids in the atmosphere of Northern Europe cities,comparison with Southern Europe and wastewater analysis

This study reports the first investigation of atmospheric illicit drug concentrations in Northern Europe using measurements of cocaine and cannabinoids in Amsterdam, London and Stockholm. Further, these measurements were compared to those made in Rome to explore the geographical and inter-city variability. Co-located measurements of atmospheric particulate mass and PAHs were used to help describe and interpret the illicit drug measurements with respect to atmospheric dispersion. Cocaine concentrations ranged from 0.03 to 0.14 ng/m³ in Amsterdam, from 0.02 to 0.33 ng/m³ in London and were below quantification limit (3 pg/m³) in Stockholm. Cannabinol was the only cannabinoid molecule detected in the three cities. During this campaign, London reported the highest concentrations of cocaine and meaningful differences were detected between the urban background and city centre London sites. Mean cocaine concentrations measured in Amsterdam during March 2011 were also compared with those measured simultaneously in eight Italian cities. The cocaine concentration in Amsterdam was comparable to that measured at an urban background in Milan and at a densely populated site in Florence. Although correlating atmospheric concentrations directly with drug prevalence is not possible using current data, links between concentrations of cocaine and estimates of abuse prevalence assessed by the more routinely used wastewater analysis were also examined. A statistically significant correlation was found between the two sets of data (R² = 0.66; p = 0.00131). Results confirmed that meteorology, population rate and habits of consumption influence the atmospheric concentrations of drugs. If these confounding factors were better controlled for, the techniques described here could became an easy and cost effective tool to index the impact of cocaine abuse in the area; especially where local hot spots need to be identified.     

Forest income and dependency in lowland Bolivia

Forests contribute to livelihoods of rural people throughout the tropics. This paper adds to the emerging body of quantitative knowledge on absolute and relative economic importance, through both cash and subsistence income, of moist forests to households. Qualitative contextual information was collected in six villages in lowland Bolivia, followed by a structured survey of randomly selected households (n = 118) that included four quarterly income surveys. We employed a novel data collection approach that allows detailed estimation of total household accounts, including sources of forest income. We estimated the average forest income share of total annual household income (forest dependency) at 20%, ranging from 18 to 24%. Adding environmental income increased the average to 26%, being fairly constant across income quartiles at 24–28%. Absolute levels of forest income increased with total household income, while forest dependency was the highest in the best-off income quartile—the primary harvesters of forest products are better-off households. The pattern of high forest dependency among better-off households has also been reported from other countries, indicating that this pattern may be more common than advocated by conventional wisdom. Using ordinary least squares (OLS) regressions, we found significant determinants of absolute forest income to be household size, sex of household head and area of cultivated land; the significant determinants for forest dependency were level of education, whether household head was born in village and whether household was food self-sufficient. Better-off households were able to realise cash income from forests, while poorer households—in particular if headed by women—were more reliant on subsistence forest income. We argue that the differential patterns of forest income across income quartiles should be considered in future development interventions and that findings indicate a potential for forests to contribute to moving households out of poverty.