Climate change adaptation,mitigation and livelihood benefits in coffee production: where are the synergies?

There are worldwide approximately 4.3 million coffee (Coffea arabica) producing smallholders generating a large share of tropical developing countries’ gross domestic product, notably in Central America. Their livelihoods and coffee production are facing major challenges due to projected climate change, requiring adaptation decisions that may range from changes in management practices to changes in crops or migration. Since management practices such as shade use and reforestation influence both climate vulnerability and carbon stocks in coffee, there may be synergies between climate change adaptation and mitigation that could make it advantageous to jointly pursue both objectives. In some cases, carbon accounting for mitigation actions might even be used to incentivize and subsidize adaptation actions. To assess potential synergies between climate change mitigation and adaptation in smallholder coffee production systems, we quantified (i) the potential of changes in coffee production and processing practices as well as other livelihood activities to reduce net greenhouse gas emissions, (ii) coffee farmers’ climate change vulnerability and need for adaptation, including the possibility of carbon markets subsidizing adaptation. We worked with smallholder organic coffee farmers in Northern Nicaragua, using workshops, interviews, farm visits and the Cool Farm Tool software to calculate greenhouse gas balances of coffee farms. From the 12 activities found to be relevant for adaptation, two showed strong and five showed modest synergies with mitigation. Afforestation of degraded areas with coffee agroforestry systems and boundary tree plantings resulted in the highest synergies between adaptation and mitigation. Financing possibilities for joint adaptation-mitigation activities could arise through carbon offsetting, carbon insetting, and carbon footprint reductions. Non-monetary benefits such as technical assistance and capacity building could be effective in promoting such synergies at low transaction costs.     

CO2-emission reduction in China’s residential building sector and contribution to the national climate change mitigation targets in 2020

Between 1980 and 2007, in the Chinese building sector in urban and rural areas, coal was mainly substituted with electricity and natural gas. Growing income will further increase energy consumption and CO₂-emissions in the building sector. Using an econometric model, disaggregated energy demand and related CO₂-emissions in the residential sector as well for the whole economy are estimated and forecasted until 2050. In 2009, the Chinese government pledged itself to reduce CO₂-intensity by 40%?C45% in 2020 compared to 2005. Aim of this article is to assess to which extent the measures in the building sector in China can contribute to this target. Main results of the analysis are: (a) The primary energy source coal was mainly substituted by electricity generated with coal. Apart from convenience gains, the environmental advantages are questionable. (b) Between 2010 and 2050, energy demand in the building sector will grow by 2.0%?C4.1% per annum leading to CO₂-emissions at least almost tripling from about 560 mill. tons in 2010 to about 1,500 mill. tons in 2050. (c) The energy efficiency gains in the building sector and other sectors of the Chinese economy, however, are not enough to fulfill the national CO₂-intensity targets. The reduction of the CO₂-intensity of GDP would be 37.2% in the BAU-scenario, and 31.9% in the LOW-scenario. Only in the HIGH-scenario (46.3%), the economy is growing efficient enough relative to the induced CO₂-emissions. The remaining CO2-emission reductions could be gained by additional promotion of renewable energies (mainly solar and geo-thermal) in the building sector.     

Climate change and human health—what influences the adoption of adaptation programming in the United States public health system?

With growing evidence on how climate change impacts human health, public health agencies should develop adaptation programs focused on the impacts predicted to affect their jurisdictions. However, recent research indicates that public health agencies in the United States have done little to prepare the public for predicted climate change impacts, largely due in response to a lack of resources and priority. This study surveyed Environmental Health (EH) Directors across the United States to determine the extent to which individual level attitudes and beliefs influence the adoption of climate change adaptation programming in a department. The results indicate that an EH Director’s perception of the health risk posed by climate change explained 27% of the variance in the number of climate change impacts being addressed. Furthermore, the study found that environmental attitude and political views made strong, unique contributions in explaining the variance in risk perception. The results provide evidence that individual-level attitudes and beliefs, as well as organizational-level barriers influence the adoption of climate change adaptation programs in public health agencies. As a result, increasing EH Directors’ perception of risk by highlighting the likelihood and severity of localized impacts may increase the adoption of adaptation programming despite existing organizational barriers (e.g., lack of resources). Given the fact that risk perception has been shown to influence behavior across cultures, these findings are also useful for understanding the influence of individual decision makers on public health programming around the world.     

Climate change,adaptive capacity and policy direction in the Canadian North: Can we learn anything from the collapse of the east coast cod fishery?

Scientific evidence gathered over the past five years suggests that northern Canada and the Arctic have undergone, and are undergoing, formidable environmental changes linked to global climate change. Environmental change in the north is expected to persist and intensify over the course of the next century. When large-scale environmental changes take place, they inevitably affect people, especially when the cultures and livelihoods of those people depend on their relationship with the environment. Managing the local impacts of these changes is a matter of adaptation. This paper discusses some of the policy implications of adaptation––government interventions aiming to build communities’ and regions’ capacities to adapt to environmental changes. Three arguments for adaptive capacity building interventions in the north are discussed, and these arguments are augmented by a comparative review of government reactions to the collapse of the cod fishery in Atlantic Canada. Reactive and proactive policy approaches are discussed, and it is suggested from the comparison that proactive approaches to intervention are desirable for building adaptive capacity.

Climate change adaptation strategies in the Mekong and Orange-Senqu basins: What determines the state-of-play?

The challenge of governing transboundary water resources is expected to increase with climate change and the resulting need to adapt to its impacts such as temperature increase, more precipitation in the wet season and less in the dry season. In a number of transboundary basins, international regimes, and in particular river basin commissions, are emerging to account for this and other challenges. Some basins are, however, rather advanced in terms of developing climate change adaptation strategies, while others are in a more nascent stage. For the two case studies of the Orange-Senqu and Mekong river basins, this paper attempts to explain the different degrees of progress towards climate change adaptation by applying regime effectiveness analysis. First, we analyze, using the Activity Diagram (AD) of the Management and Transition Framework (MTF), at which stage in the climate change adaptation policy formation process each of the two basins is. Then we attempt to explain the different degrees of progress towards adaptation by means of regime effectiveness theory. Variables indicating regime effectiveness are taken from the literature and further developed to suit the context of climate change adaptation. We find that the different degrees of progress can partially be explained by some variables of regime effectiveness such as the characteristics of rules and procedures, organizational structure, the role of riparian countries as well as international context. At the same time, the analysis points to the need for an analysis of additional factors that potentially shape decision-making and policy processes for climate change adaptation in international river basins such as (a) the hydrological, political and socio-economic setting, (b) underlying principles of regional cooperation (or conflict), (c) interests and values of the various actors in the negotiation process and (d) the possible linkages and trade-offs with other policy fields.     

Carbon tax,emission trading,or the mixed policy: which is the most effective strategy for climate change mitigation in China?

China, as the world’s largest emitter, intends to achieve the peaking of carbon dioxide (CO₂) emissions around 2030 and to make best efforts to peak early to mitigate global change. Under this strategy, a dynamic, recursive computable general equilibrium (CGE) model is used to analyze the economy, energy, and environment impact of CO₂ emission reduction policy based on 17 scenarios in China: carbon tax, emission trading scheme (ETS), and the mixed policy in different price level, in order to find out which kind of emission reduction strategy is more feasible. The results show that CO₂ emission in 2030 will be reduced with the implementation of tax, ETS and mixed policy, by 10–13 %, 12–14 %, and 18–28 %, respectively. From 2016 to 2030, China can reduce 18,338–24,156 Mt CO₂ through the implementation of mixed policy. Furthermore, relative to single policy, mixed policy has stronger effects on primary energy consumption cut, by 738–1124 Mtoe or 18–28 %, which will make CO₂ emissions reach a peak before 2030 and the peak emission is not greater than 12 billion tons which is in line with the reduction demand in China. Thus, the mixed policy is the most effective strategy so that mixed policy is recommended to parties included in Annex I in United Nations Framework Convention on Climate Change Kyoto Protocol and other countries with large potential of emission reduction, while ETS is suggested to countries with low carbon emissions per capita which can balance economic development and CO₂ mitigation.     

Coupling Human Information and Knowledge Systems with social–ecological systems change: Reframing research,education, and policy for sustainability

The rapid acceleration and intensity of global environmental change places great demands on humanity for developing innovative views and processes for the integration of knowledge in ways that are conducive to sustainability learning. In this paper, we argue that in order to develop robust sustainability learning feedbacks between knowledge and action we need the coupling of Human Information and Knowledge Systems (HIKS) with social–ecological systems (SES) dynamics. In particular, a substantial change in core worldviews and understandings about the nature of HIKS and how they relate to SES is required. Changing such epistemological and ontological assumptions of the quality of robust social–ecological knowledge is a first step for the emergence of transformative pathways towards sustainability in research, education, and policy. To enhance our understanding of such complexity, we describe two general ideal-type worldviews of HIKS and their relationships with SES in Western culture. One worldview understands information and knowledge systems as evolving in a closed, ahistorical, social-ecologically disembodied linear space, in ways which can be reduced to a single form of representation. The other worldview understands information and knowledge systems as operating in an open space composed of multiple and diverse patterns of hybrid social–ecological practices and configurations, inevitably embedded in specific times, spaces and contextual conditions. We argue that the open, but socio-ecologically embodied worldview is better suited to support sustainability learning and transformation.     

Linking the Northeast states of the US mitigation program to the EU Emission Trading Scheme—Implications and costs

It is argued that there are at least five reasons for the Northeast states of the United States to implement a regional emission trading scheme for carbon dioxide despite the lack of federal policy regulations: goodwill, learning, political influence, risk management and competitiveness interests. Using an energy-economy model, the carbon price to bring the firms into compliance with a 10% reduction by 2020 is estimated to be 20-150 US$ per ton C. There have been discussions about linking the ongoing EU Emission Trading Schemes to the Northeast state initiative. The prime argument is that such a linkage would encourage a change of the federal US policy, which has traditionally followed action taken at the state level. Emissions trading with binding mitigation commitments could thus be demanded and accepted also on federal level. This paper demonstrates that the impact of linkage on permit prices depends on the reduction target in the European scheme: A low EU target results in a net flow of permits to the Northeast scheme, while a 40% EU reduction target results in a net flow of permits from the Northeast. Flow of permits from the Northeast state must be compensated for by the EU because the United States is not a party of the Kyoto Protocol. The EU must therefore buy permits in allowances recognized in the Kyoto regime in an amount equal to the net flow of permits from the Northeast states.

Exploring the circumstances surrounding flood fatalities in Australia—1900–2015 and the implications for policy and practice

This paper documents the analysis of the circumstances surrounding fatalities due to flooding in Australia between 1900 and 2015. This longitudinal investigation is important to understand changing trends in social vulnerability and to inform efficient and strategic risk reduction strategies. The basis of this analysis was PerilAUS, Risk Frontiers’ database of historical natural hazard impacts in Australia. This data was augmented and verified using coronial inquest records which provide detailed data concerning the social, demographic and environmental circumstances of each fatality. A statistical analysis of the data was undertaken, examining demographics (age, gender), location (state), seasonality, circumstances surrounding the fatality, environmental factors (e.g. the event intensity) and social factors (e.g. the decisions or actions which led to death). Overall there have been 1859 fatalities identified, with distinct trends in relation to gender, age, activity and reason behind the activity. Flood deaths have been declining. The majority of the fatalities are male (79.3%): however, since the 1960s the proportion of female to male fatalities has increased. Children and young adults (<29 years) make up the greatest proportion of the fatalities (53.8% of cases where age is known). The highest proportions of fatalities occurred while victims attempted to cross a flood-impacted bridge or road. The recommendations for emergency management policy and practice are discussed, outlining the need for a new approach that accounts for a continuum of measures including regulation and incentive, education and structural intervention.     

The vulnerability of Australian rural communities to climate variability and change: Part I—Conceptualising and measuring vulnerability

Vulnerability is a term frequently used to describe the potential threat to rural communities posed by climate variability and change. Despite growing use of the term, analytical measures of vulnerability that are useful for prioritising and evaluating policy responses are yet to evolve. Demand for research capable of prioritising adaptation responses has evolved rapidly with an increasing awareness of climate change and its potential impacts on rural communities. Research into the climate-related vulnerability of Australian rural communities is only just beginning to emerge. Current research is dominated by hazard/impact modelling, drawing on a heritage of managing the risks posed by seasonal climate variability. There is a natural tendency to use the same risk management approach to understand the emergent nature of vulnerability. In this paper, we explore the consequences for policy advice of imperfectly examining vulnerability through the lens of an impact/hazard modelling approach to risk management. In a second paper in this series, we show how hazard/impact modelling can be complemented with more holistic measures of adaptive capacity to provide quantitative insights into the vulnerability of Australian rural communities to climate variability and change.     

Land cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras region

Current studies of land cover change and landscape fragmentation rely predominantly on land cover classifications derived from remotely sensed images. However, limitations of traditional land cover classifications are numerous and well known. This research compares classification-based techniques (discrete data) to the use of vegetation indices (continuous data) for land cover modeling and analyses of landscape fragmentation for a study area in western Honduras. The study area typifies many regions of tropical developing countries, where a complex interaction of social and environmental factors have given rise to a dynamic mosaic of patches of reforestation and deforestation. Understanding the complex human dimensions of land use and land cover change in these parts of the world continues to present a challenge for researchers.The land cover modeling analysis compares two models using different formulations for the dependent variable: (i) a continuous analysis using a tobit model regressing the normalized difference vegetation index (NDVI), with non-forest values truncated at 0, on the variables elevation, slope, distance from roads and distance from the nearest market; and (ii) a discrete analysis using a probit model with threshold NDVI coverages (representing forest and non-forest). To examine the patterns of landscape fragmentation, a discrete analysis of a forest/non-forest classification using the software FRAGSTATS is compared to a continuous NDVI-based analysis using the local indicator of spatial association (LISA) statistic. Estimated marginal effects and overall predictive power are compared across the tobit and probit formulations. Because the tobit formulation included variation in the dependent variable for forested areas, greater information was retained regarding the subtle relationships among the independent variables and land cover. The LISA statistic, using the NDVI coverages as input, were helpful in the interpretation of the data and its spatial arrangement in the landscape, indicating that the LISA was a good complement to the FRAGSTATS, classification-based analysis. Given the LISA statistic is parametric and hence subject to outliers, whereas landscape metrics tend to be non-parametric, we found that the use of both FRAGSTATS and LISA together was more beneficial than either analysis by itself. While there is increasing awareness of the need for using continuous data for land cover modeling and fragmentation, this area remains little explored. The research presented provides insights for additional future applications utilizing continuous data analyses.     

Climate risk insurance in Pacific Small Island Developing States: possibilities,challenges and vulnerabilities—a comprehensive review

Climate change has become one of the most compelling fields of empirical research over the last couple of decades, partly due to its socio-economic impacts. Using a meta-analysis of 235 peer-reviewed articles published between January 2010 and July 2020, this paper appraises climate change adaptation (CCA) research in Nepal and draws lessons for future adaptation planning. The number of research is observed to have increased significantly in recent years (2015–2020) although there is no consistent pattern over the review period and at the thematic level. Findings submit that the agriculture and food security has the highest number of publications (37%) followed by gender equality and social inclusion (18%) and forest, biodiversity and watershed management (16%). There are no studies found in rural and urban settlement theme. Geographic distribution of CCA studies revealed that over 40% studies were carried out from central Nepal, while no study was conducted in ten districts of eastern and western Nepal. The study focus was also discrete, and the perception and attitude and impact assessment of climate change were common agendas; however, the drivers of change and options for adaptation were understudied. CCA with multipronged initiatives provide a broader understanding of dynamics and governance of climate change that not only affects rural livelihoods, but also influences regional and global environments and biodiversity.

     

Landscape change and human activity——Selected papers from the 2nd International Conference on Landscape Ecology of Asia and Pacific Region ,Lanzhou ,China ,Sept.22—25,2001

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The vulnerability of Australian rural communities to climate variability and change: Part II—Integrating impacts with adaptive capacity

In the first paper in this series [Nelson, R., Kokic, P., Crimp, S., Martin, P., Meinke, H., Howden, S.M. (2010, this issue)], we concluded that hazard/impact modelling needs to be integrated with holistic measures of adaptive capacity in order to provide policy-relevant insights into the multiple and emergent dimensions of vulnerability. In this paper, we combine hazard/impact modelling with an holistic measure of adaptive capacity to analyse the vulnerability of Australian rural communities to climate variability and change. Bioeconomic modelling was used to model the exposure and sensitivity of Australian rural communities to climate variability and change. Rural livelihoods analysis was used as a conceptual framework to construct a composite index of adaptive capacity using farm survey data. We then show how this integrated measure of vulnerability provides policy-relevant insights into the constraints and options for building adaptive capacity in rural communities. In the process, we show that relying on hazard/impact modelling alone can lead to entirely erroneous conclusions about the vulnerability of rural communities, with potential to significantly misdirect policy intervention. We provide a preliminary assessment of which Australian rural communities are vulnerable to climate variability and change, and reveal a complex set of interacting environmental, economic and social factors contributing to vulnerability.     

Developing long-term strategies to reduce energy use and CO<Subscript>2</Subscript> emissions—analysis of three mitigation scenarios for iron and steel production in China

We perform a scenario analysis of three strategies for long-term energy savings and carbon dioxide (CO₂) emission reductions in iron and steel production in China, using a linear optimization modeling framework industry sector energy efficiency modeling (ISEEM). The modeling includes annual projections for one base scenario representing business-as-usual (BAU) and three additional scenarios representing different strategies to reduce annual energy use and CO₂ emissions from 2010 to 2050. Specifically, the three scenarios for cost-optimization modeling include changing the production share (PS), predefining emission reduction (ER) target, and stipulating carbon emission pricing (CP), respectively. While the three strategies are projected to result in similar annual energy savings by approximately 15 % compared to that of the BAU scenario in year 2050, the carbon emission pricing strategy brings about the highest annual energy savings in the medium term (e.g., 2025). In addition, adopting carbon emission pricing strategy will result in the highest emission reduction from BAU with much higher costs, i.e., by 20 % in 2025 and 41 % in 2050, while adopting either PS or ER strategies will result in a moderate level of emission reduction from BAU, i.e., by approximately 4 % in 2025 and 14 % in 2050. The analysis of China’s national strategies to reduce energy use and emissions provides important implications for global mitigation strategies.     

The effect of conservation tillage in managing climate change in arid and semiarid areas—a case study in Northwest China

Mitigation and Adaptation Strategies for Global Change - Coastal cities are exposed to high risks due to climate change, as they are potentially affected by both rising sea levels and increasingly...