Enhanced spring convective barrier for monsoons in a warmer world?

Twenty-first century climate model projections show an amplification of the annual cycle in tropical precipitation with increased strength in both wet and dry seasons, but uncertainty is large and few studies have examined transition seasons. Here we analyze coupled climate model projections of global land monsoons and show a redistribution of precipitation from spring to summer in northern (North America, West Africa and Southeast Asia) and southern (South America, Southern Africa) regions. The annual cycle changes are global in scale. Two mechanisms, remote (based on tropospheric stability) and local (based on low level and surface moisture), are evaluated through the annual cycle. Increases in tropospheric stability persist from winter into spring and are reinforced by a reduction in surface moisture conditions, suggesting that in spring both remote and local mechanisms act to inhibit convection. This enhanced spring convective barrier leads to reduced early season rainfall; however, once sufficient increases in moisture (by transport) are achieved, decreases in tropospheric stability result in increased precipitation during the late rainy season. Further examination of this mechanism is needed in observations and models, as the projected changes would have substantial implications for agriculture, water management, and disaster preparedness.     

Thinking globally and siting locally – renewable energy and biodiversity in a rapidly warming world

Increasing greenhouse gas emissions are projected to raise global average surface temperatures by 3?–4 °C within this century, dramatically increasing the extinction risk for terrestrial and freshwater species and severely disrupting ecosystems across the globe. Limiting the magnitude of warming and its devastating impacts on biodiversity will require deep emissions reductions that include the rapid, large-scale deployment of low-carbon renewable energy. Concerns about potential adverse impacts to species and ecosystems from the expansion of renewable energy development will play an important role in determining the pace and scale of emissions reductions and hence, the impact of climate change on global biodiversity. Efforts are underway to reduce uncertainty regarding wildlife impacts from renewable energy development, but such uncertainty cannot be eliminated. We argue the need to accept some and perhaps substantial risk of impacts to wildlife from renewable energy development in order to limit the far greater risks to biodiversity loss owing to climate change. We propose a path forward for better reconciling expedited renewable energy development with wildlife conservation in a warming world.     

Resilience for disaster risk management in a changing climate: Practitioners’ frames and practices

There is a growing use of resilience ideas within the disaster risk management literature and policy domain. However, few empirical studies have focused on how resilience ideas are conceptualized by practitioners, as they implement them in practice. Using Hajer's ‘social-interactive discourse theory’ this research contributes to the understanding of how practitioners frame, construct and make sense of resilience ideas in the context of changes in institutional arrangements for disaster risk management that explicitly include the resilience approach and climate change considerations. The case study involved the roll out of the Natural Disaster Resilience Program in Queensland, Australia, and the study involved three sites in Queensland. The methods used were observation of different activities and the physical sites, revision of documents related to the Natural Disaster Resilience Program and in-depth semi-structured interviews with key informants, all practitioners who had direct interaction with the program. The research findings show that practitioners construct the meaning of disaster resilience differently, and these are embedded in diverse storylines. Within these storylines, practitioners gave different interpretations and emphasis to the seven discourse categories that characterized their resilience discourse. Self-reliance emerged as one of the paramount discourse categories but we argue that caution needs to be used when promoting values of self-reliance. If the policy impetus is a focus on learning, research findings indicate it is also pertinent to move from experiential learning toward social learning. The results presented in this study provide helpful insights to inform policy design and implementation of resilience ideas in disaster risk management and climate change, and to inform theory.     

Scenarios for a 2 °C world: a trade-linked input–output model with high sector detail

In this study a scenario model is used to examine if foreseen technological developments are capable of reducing CO₂ emissions in 2050 to a level consistent with United Nations Framework Convention on Climate Change (UNFCCC) agreements, which aim at maximizing the temperature rise to 2 °C compared to pre-industrial levels. The model is based on a detailed global environmentally extended supply–use table (EE SUT) for the year 2000, called EXIOBASE. This global EE SUT allows calculating how the final demand in each region drives activities in production sectors, and hence related CO₂ emissions, in each region. Using this SUT framework, three scenarios have been constructed for the year 2050. The first is a business-as-usual scenario (BAU), which takes into account population, economic growth, and efficiency improvements. The second is a techno-scenario (TS), adding feasible and probable climate mitigation technologies to the BAU scenario. The third is the towards-2-degrees scenario (2DS), with a demand shift or growth reduction scenario added to the TS to create a 2 °C scenario. The emission results of the three scenarios are roughly in line with outcomes of typical scenarios from integrated assessment models. Our approach indicates that the 2 °C target seems difficult to reach with advanced CO₂ emission reduction technologies alone.

Policy relevance

The overall outlook in this scenario study is not optimistic. We show that CO₂ emissions from steel and cement production and air and sea transport will become dominant in 2050. They are difficult to reduce further. Using biofuels in air and sea transport will probably be problematic due to the fact that agricultural production largely will be needed to feed a rising global population and biofuel use for electricity production grows substantially in 2050. It seems that a more pervasive pressure towards emission reduction is required, also influencing the basic fabric of society in terms of types and volumes of energy use, materials use, and transport. Reducing envisaged growth levels, hence reducing global gross domestic product (GDP) per capita, might be one final contribution needed for moving to the 2 °C target, but is not on political agendas now.     

International climate policy: a “second best” solution for a “second best” world?

In the current political environment, it is highly unlikely that all countries will agree to take on immediate commitments to reduce their greenhouse gas emissions. In particular, developing countries will look to their wealthier neighbors to be the “first movers.” In this paper, we assume that developing countries will eventually accede to an international emission reductions regime under two alternative scenarios. In the first, the decision on the part of developing countries to join the coalition is not made until just before accession. There is no planning to reconfigure their capital stock in advance of joining the coalition. In the second, we assume that developing countries commit to prespecified reductions beginning at an agreed upon date in the future; that is, they anticipate accession. We find that with an agreement now to future reductions, developing countries will modify their technology investment decisions in advance of accession to avoid being saddled with costly stranded assets, substantially reducing their GDP losses. Developed countries also benefit from not having to make as drastic reductions in the near-term to preserve the feasibility of stringent stabilization goals.     

Is industrialization still a viable development strategy for developing countries under climate change?

The implications of climate change for economic development strategies in developing countries are explored, in particular whether industrialization still represents a viable development strategy in the context of climate change. Synthesizing the relevant literature and drawing insights from a comparison of Chinese and Indian experiences, it is argued that industrialization still represents an effective and, to some extent, indispensable development strategy, especially for those low- and low–middle-income countries that are affected by deindustrialization.     

Non-energy use of fossil fuels and resulting carbon dioxide emissions: bottom–up estimates for the world as a whole and for major developing countries

We present and apply a simple bottom–up model for estimating non-energy use of fossil fuels and resulting CO₂ (carbon dioxide) emissions. We apply this model for the year 2000: (1) to the world as a whole, (2) to the aggregate of Annex I countries and non-Annex I countries, and (3) to the ten non-Annex I countries with the highest consumption of fossil fuels for non-energy purposes. We find that worldwide non-energy use is equivalent to 1,670 ± 120 Mt (megatonnes) CO₂ and leads to 700 ± 90 Mt CO₂ emissions. Around 75% of non-energy use emissions is related to industrial processes. The remainder is attributed to the emission source categories of solvent and other product use, agriculture, and waste. Annex I countries account for 51% (360 ± 50 Mt CO₂) and non-Annex I countries for 49% (340 ± 70 Mt CO₂) of worldwide non-energy use emissions. Among non-Annex I countries, China is by far the largest emitter of non-energy use emissions (122 ± 18 Mt CO₂). Our research deepens the understanding of non-energy use and related CO₂ emissions in countries for which detailed emission inventories do not yet exist. Despite existing model uncertainties, we recommend NEAT-SIMP to inventory experts for preparing correct and complete non-energy use emission estimates for any country in the world.     

Urban Bias in Temperature Time Series – a Case Study for the City of Vienna, Austria

Compared with other large cities Vienna shows different urban development characteristics. The city has had a zero population growth during 1951–1995, a period of rapid growth elsewhere. In spite of its stagnating population of about 1,6 million Vienna has had development in other areas: a doubling of living floor space, a two and a half-fold increase in total energy consumption, a 60% rise of traffic area. In contrast, forests have been reduced by 20% and grasslands within the city borders by 30%. Of the 34 temperature recording stations in the study area of 1450 km², nine series passed the quality tests after careful homogenization. Three of these were in the rural environment and were used as reference series for the urban temperature excess at the other six stations in the urbanized area. The urban excess temperatures vary from site to site: from 0.2 K in suburban areas up to 1.6 K in densely built-up areas. The Vienna case study illustrates two features of more than local interest which should be considered in urban climatology as well as in time series studies where the urban temperature excess is regarded as a bias. Firstly, in a city with constant population the urban heat excess shows significant to strongly significant trends of up to 0.6 K in 45 years due to changes in urban morphology and energy consumption. Secondly, the urban heat island and its trend cannot be regarded simply for the city as a whole. There are different absolute levels, different annual variations and different increases of the urban temperature excess in different parts of a city. The urban effect is more strongly influenced by the local surroundings of the site than by the city as a whole. So, if possible, urban heat islands should not be described by a two station approach only (the typical airport-downtown comparison), nor should it rely on regression between population number and heat island.     

Interval-fuzzy stochastic optimization for regional energy systems planning and greenhouse-gas emission management under uncertainty—a case study for the Province of Ontario,Canada

Greenhouse gas (GHG) emission reduction is usually associated with energy systems management. Management of regional energy systems is a complex task due to the strong interactions among energy supply, demand and conversion activities, as well as those among energy, environmental and economic factors. These complexities may be further compounded due to the presence of uncertainties in a variety of processes and the related costs, impact factors and objectives. Therefore, the objective of this study is to develop a dynamic interval-fuzzy two-stage stochastic regional energy systems planning model (DIFT-REM) and analysis GHG-emission reduction policies within a general energy management systems framework. The developed model is then applied to the Province of Ontario to demonstrate its applicability in supporting regional energy systems management and GHG-emission reduction analysis under uncertainty. The results indicated that DIFT-REM could address not only interactions among multiple energy-related activities, but also uncertainties in multiple forms and dynamics within a multi-period, multi-facility, multi-scale and multi-uncertainty context. The results also suggested that, when GHG-emission-credit trading is available for Ontario, the task of GHG-emission reduction could be accomplished with a lower system cost.     

Understanding climate coping as a basis for strategic climate change adaptation – The case of Queenstown-Lake Wanaka,New Zealand

Weather conditions that influence natural resource-based tourist destinations are likely to be affected by climate change, but our understanding of how businesses and destinations manage for present and future conditions is limited. In this study we report on the relationships between weather and tourism activities in the Queenstown-Lake Wanaka region, South Island, New Zealand. Key stakeholder interviews and a workshop form the empirical basis of this paper. Coping range application ideas derived from ecological management literature are used to develop a framework to understand and inform thinking and strategies around how tourism businesses and destinations are currently responding to the weather and perhaps could in future respond to climate change. Results show that within a destination individual businesses have widely varying relationships with the weather, with each type of activity operating within its own coping range to particular environmental gradients, for example temperature. Coping, which can be observed outside the ‘ideal’ range of a particular environmental gradient, requires business adjustments so as to cope with increasingly marginal conditions, up to a Critical Stop Point – the ultimate threshold. The data suggest that increased need for adjustments impacts on business viability, and more planned adaptation measures would be necessary to increase viability under increasingly detrimental climatic conditions. Discussion at a destination level workshop indicates that at and beyond thresholds, keystone industry and destination level strategic adaptation planning is required to ensure the viability of the destination as a whole.     

Prospects for a saturation of humanity’s resource use? An analysis of material stocks and flows in nine world regions from 1900 to 2035

Material stocks in infrastructure, buildings and machinery shape current and future resource use and emissions. Analyses of specific countries and selected materials suggest that material stocks might saturate, which would be important for a more sustainable social metabolism. However, it is unclear to what extent the evidence holds for a wider range of stocks and flows, as well as for world regions or globally.We present an inflow-driven dynamic stock-flow model for 14 bulk materials, end-of-life outflows, recycling, and waste flows for nine world regions from 1900 to 2015, extended with trend scenarios until 2035. Material stocks are growing in all regions and show little signs of saturation yet. In 2015, China used half of global stock-building materials, overtook everyone in stock size around 2012 and grows its stock at ∼8%/year. The Industrialized regions, including the Former Soviet Union, are slowly expanding their high stock levels at ∼1%/year. Stocks in all other regions, inhabited by 60% of the world population, grow at ∼3–5%/year. Inequalities in per capita stocks between regions are large. Trend scenarios suggest potential absolute or per capita stock saturations in some of the industrialized regions, while all other regions are expected to continue high stock growth.Accumulated stocks drive future end-of-life materials and substantial maintenance and replacement requirements. Growing material stocks hamper a potential stabilization or reduction of resource use. Low stock levels in most world regions suggest a crucial window of opportunity for avoiding resource-intensive stock development. In the industrialized regions and especially China, stabilising and reducing resource use requires halting net stock expansion and transforming existing stocks. More materials- and energy-efficient and long-lived stocks which deliver high quality services, and improved reuse, repair and recycling of increasing end-of-life materials to close loops and actually replace virgin resources, are crucial for a more sustainable social metabolism.     

On the move: The role of mobility and migration as a coping strategy for resource users after abrupt environmental disturbance – the empirical example of the Coastal El Niño 2017

Individual mobility – moving between and within different geographic regions – represents an adaptation strategy of natural resource users worldwide to cope with sudden and gradual changes in resource abundances. This work traces the recent history of Peruvian small-scale fishers’ migration, and particularly analyses the spatial mobility patterns of resource users along the Peruvian coastline in the aftermath of the coastal El Niño 2017. In February-March 2017, this event caused extraordinary heavy rains and a rise in water temperatures along the coast of northern Peru, inducing negative consequences for the small-scale fisheries and scallop (Argopecten purpuratus) aquaculture sectors, both representing important socio-economic activities in the region. Responses of local resource users to these changes were highly diverse, with a great number of people leaving the region in search for work in fishing and non-fishing activities. With a particular emphasis on the province of Sechura, this work attempts to shed light on how and why migration flows differ for fishers and scallop farmers and to explore future pathways in the context of post-disturbance recovery. About one year after the disturbance event, the small-scale fishery operated almost on a regular scale, while the aquaculture sector still struggled towards pre-El Niño conditions, reflected, for example, in a higher percentage of persons engaging in other economic activities within and outside the region. The results of this study demonstrate the importance of human movement and translocal social networks emerging in moments of crisis and should be considered for future development of long-term management strategies incorporating increasing interconnectedness of places on different scales in the face of future disturbance events. Understanding adaptation strategies of resource users in this particular social-ecological setting will further serve to inform other coastal systems prone to (re-occurring) environmental change by highlighting the diversity of socio-economic and natural drivers that can stipulate mobility and affect adaptive capacity of resource users.