Framing climate uncertainty: socio-economic and climate scenarios in vulnerability and adaptation assessments

Scenarios have become a powerful tool in integrated assessment and policy analysis for climate change. Socio-economic and climate scenarios are often combined to assess climate change impacts and vulnerabilities across different sectors and to inform risk management strategies. Such combinations of scenarios can also play an important role in enabling the interaction between experts and other stakeholders, framing issues and providing a means for making explicit and dealing with uncertainties. Drawing on experience with the application of scenarios to climate change assessments in recent Dutch research, the paper argues that scenario approaches need to be matched to the frames of stakeholders who are situated in specific decision contexts. Differentiated approaches (top-down, bottom-up and interactive) are needed to address the different frames and decision-making contexts of stakeholders. A framework is proposed to map scenarios and decision contexts onto two dimensions: the spatial scale of the context and the starting point of approach used in scenario development (top-down, bottom-up or incident-driven). Future climate and socio-economic scenario development will be shaped by the need to become better aligned with multiple interacting uncertainties salient to stakeholders.     

Impact of climate warming upon the fish assemblages of the Portuguese coast under different scenarios

Impact of sea-surface warming upon the fish assemblages of the Portuguese coast was assessed under two scenarios, the A2 and the B2 scenarios (Special Report on Emission Scenarios), which when coupled with a regional circulation model HadRM3 predict 1 and 2°C of sea-surface warming until the year 2100. Species richness increased in the Portuguese coast. In both scenarios, there was a latitudinal gradient in the amount of lost and gained species, increasing from north to south. An anomaly in the latitudinal gradient of species richness was detected in the southernmost area, which presented the lowest species richness of all areas, in the A2 scenario, and appears to be particularly vulnerable to climate change. Very few species were totally eliminated from Portuguese waters. For the Portuguese coast as a whole, there were more new than lost species, in both scenarios. Most of the new species were commercially important species, in the majority subtropical in the north and tropical in the south, mainly demersal and reef-associated. Reef-associated species also increased in relative importance. A commercial opportunity for fisheries may arise from climate warming, since most of the new species were commercial species and not many commercial species were lost. An increasing gradient from north to south was detected in the colonization of new species of herbivores, planktivores, and omnivores, as well as lower mean trophic level, which might have consequences for the future of trophic webs.     

Aiding multi-level decision-making processes for climate change mitigation and adaptation

Progress towards climate change aware regional sustainable development is affected by actions at multiple spatial scales and governance levels and equally impacts actions at these scales. Many authors and policy practitioners consider therefore that decisions over policy, mitigation strategies and capacity for adaptation to climate change require construction and coordination over multiple levels of governance to arrive at acceptable local, regional and global management strategies. However, how such processes of coordination and decision-aiding can occur and be maintained and improved over time is a major challenge in need of investigation. We take on this challenge by proposing research-supported methods of aiding multi-level decision-making processes in this context. Four example regionally focussed multi-level case studies from diverse socio-political contexts are outlined—estuarine management in Australia’s Lower Hawkesbury, flood and drought management in Bulgaria’s Upper Iskar Basin, climate policy integration in Spain’s Comunidad Valenciana and food security in Bangladesh’s Faridpur District—from which insights are drawn. Our discussion focuses on exploring these insights including: (1) the possible advantages of informal research-supported processes and specifically those that provide individual arenas of participation for different levels of stakeholders; (2) the complexity of organisation processes required for aiding multi-level decision-making processes; and (3) to what extent progress towards integrated regional policies for climate change aware sustainable development can be achieved through research-supported processes. We finish with a speculative section that provides ideas and directions for future research.     

The gap report of global climate change mitigation,finance, and governance after the United States declared its withdrawal from the Paris Agreement

On 1 June 2017, the US President Donald Trump officially announced the withdrawal from the Paris Agreement, thus the study on the reasons of withdrawal, the potential impacts, and coping strategies has become a focus among policy circles and of the international community. Based on the self-developed US Policy Assessment Model, this paper systematically evaluates the three potential “major deficits” in terms of mitigation, climate finance, and global climate governance, as a result of the US withdrawal from the Paris Agreement and puts forward policy suggestions for coping with such transformations accordingly. The study shows that the United States ’withdrawal from the Paris Agreement will affect the existence and implementation of successive climate policies and result in an additional 8.8–13.4% increase in the global emissions reduction deficit. The United States’ withdrawal will also deteriorate the existing climate finance mechanism. The Green Climate Fund (GCF)’s funding gap will increase by US$2 billion, while the gap of long-term climate finance will increase by about US$5 billion a year. Either the China–EU or the “BASIC plus” mechanism could fill the governance deficit caused by the United States and the lack of political momentum may continue for a while in the future.     

Crop responses to climate and socioeconomic change in northern regions

Climate, farmers’ actions and previous cultivation history influence regional crop yields and drive autonomous adaptation in time. Proceeding climate change will induce needs for various adaptation measures in the future, especially in the northern regions. We investigated how farms take advantage of novel opportunities in Finland as dictated by the biophysical environment, farmer experience and knowledge, and the dynamics of the socioeconomic environment. Using Finland as a case, we aimed to characterize the relation of regional climate and yield development of the four major cereal crops since 1965 and of spring rape since 1978. Yields in the northernmost regions were most responsive to growing season temperature sum and precipitation. However, yield levels in southern relative to northern and eastern areas have polarized through the period, which might be an indication of a socioeconomic rather than a climate-related response. As socioeconomic factors can be more deterministic for targeting autonomous adaptation on farms, regionally planned proactive adaptation strategies are needed to prepare for long-term changes such as the climate change.     

Participatory scenarios as a tool to link science and policy on food security under climate change in East Africa

How effective are multi-stakeholder scenarios-building processes to bring diverse actors together and create a policy-making tool to support sustainable development and promote food security in the developing world under climate change? The effectiveness of a participatory scenario development process highlights the importance of “boundary work” that links actors and organizations involved in generating knowledge on the one hand, and practitioners and policymakers who take actions based on that knowledge on the other. This study reports on the application of criteria for effective boundary work to a multi-stakeholder scenarios process in East Africa that brought together a range of regional agriculture and food systems actors. This analysis has enabled us to evaluate the extent to which these scenarios were seen by the different actors as credible, legitimate and salient, and thus more likely to be useful. The analysis has shown gaps and opportunities for improvement on these criteria, such as the quantification of scenarios, attention to translating and communicating the results through various channels and new approaches to enable a more inclusive and diverse group of participants. We conclude that applying boundary work criteria to multi-stakeholder scenarios processes can do much to increase the likelihood of developing sustainable development and food security policies that are more appropriate.     

Spatially differentiated management-revised discharge scenarios for an integrated analysis of multi-realisation climate and land use scenarios for the Elbe River basin

A spatially differentiated, management-revised projection of natural water availability up to 2053 was requested for a basin-wide scenario study about the impact of global change in the Elbe River basin. Detailed discharge and weather information of the recent years 1951–2003 were available for model calibration and validation. However, the straightforward “classic” approach of calibrating a hydrological model on observed data and running it with a climate scenario could not be taken, because most observed river runoffs in Central Europe are modified by human management. This paper reports how the problem was addressed and how a major projection bias could be avoided. The eco-hydrological model SWIM was set up to simulate the discharge dynamics on a daily time step. The simulation area of 134,890?km2 was divided into 2,278 sub-basins that were subdivided into more than 47,500 homogeneous landscape units (hydrotopes). For each hydrotope, plant growth and water fluxes were simulated while river routing calculation was based on the sub-basin structure. The groundwater module of SWIM had to be extended for accurate modelling of low flow periods. After basin-scale model calibration and revisions for known effects of lignite mining and water management, evapotranspiration and groundwater dynamics were adjusted individually for more than 100 sub-areas largely covering the entire area. A quasi-natural hydrograph was finally derived for each sub-area taking into account management data for the years 2002 (extremely wet) and 2003 (extremely dry). The validated model was used to access the effect of two climate change scenarios consisting of 100 realisations each and resembling temperature increases of 2 and 3?K, respectively. Additionally, four different land use scenarios were considered. In all scenario projections, discharge decreases strongly: The observed average discharge rate in the reference period 1961–1990 is 171?mm/a, and the scenario projections for the middle of the twenty-first century give 91–110?mm/a, mainly depending on the climate scenario. The area-averaged evapotranspiration increases only marginally within the scenario period, e.g., from about 570 to about 580?mm/a for the temperature increase of 2?K, while potential evapotranspiration increases considerably from about 780 to more than 900?mm/a. Both discharge and evapotranspiration changes vary strongly within the basin, correlating with elevation. The runoff coefficient that globally decreases from 0.244 to 0.160 in the 2?K scenario is locally governed primarily by land use; 68% of the variance of the decreases can be attributed to this factor.     

Addressing food supply chain and consumption inefficiencies: potential for climate change mitigation

Globally, more than 30 % of all food that is produced is ultimately lost and/or wasted through inefficiencies in the food supply chain. In the developed world this wastage is centred on the last stage in the supply chain; the end-consumer throwing away food that is purchased but not eaten. In contrast, in the developing world the bulk of lost food occurs in the early stages of the supply chain (production, harvesting and distribution). Excess food consumption is a similarly inefficient use of global agricultural production; with almost 1 billion people now classed as obese, 842 million people are suffering from chronic hunger. Given the magnitude of greenhouse gas emissions from the agricultural sector, strategies that reduce food loss and wastage, or address excess caloric consumption, have great potential as effective tools in global climate change mitigation. Here, we examine the challenges of robust quantification of food wastage and consumption inefficiencies, and their associated greenhouse gas emissions, along the supply chain. We find that the quality and quantity of data are highly variable within and between geographical regions, with the greatest range tending to be associated with developing nations. Estimation of production-phase GHG emissions for food wastage and excess consumption is found to be similarly challenging on a global scale, with use of IPCC default (Tier 1) emission factors for food production being required in many regions. Where robust food waste data and production-phase emission factors do exist—such as for the UK—we find that avoiding consumer-phase food waste can deliver significant up-stream reductions in GHG emissions from the agricultural sector. Eliminating consumer milk waste in the UK alone could mitigate up to 200 Gg CO₂e year^?1; scaled up globally, we estimate mitigation potential of over 25,000 Gg CO₂e year^?1.     

Glacier response to current climate change and future scenarios in the northwestern Italian Alps

We analyze longtime series of annual snout positions of several valley glaciers in the northwestern Italian Alps, together with a high-resolution gridded dataset of temperature and precipitation available for the last 50 years. Glacier snout fluctuations are on average negative during this time span, albeit with a period of glacier advance between about 1970 and 1990. To determine which climatic variables best correlate with glacier snout fluctuations, we consider a large set of seasonal predictors, based on our climatic dataset, and determine the most significant drivers by a stepwise regression technique. This in-depth screening indicates that the average glacier snout fluctuations strongly respond to summer temperature and winter precipitation variations, with a delay of 5 and 10 year, respectively. Snout fluctuations display also a significant (albeit weak) response to concurrent (same year) spring temperature and precipitation conditions. A linear regressive model based on these four climatic variables explains up to 93 % of the variance, which becomes 89 % when only the two delayed variables are taken into account. When employed for out-of-sample projections, the empirical model displays high prediction skill, and it is thus used to estimate the average glacier response to different climate change scenarios (RCP4.5, RCP8.5, A1B), using both global and regional climate models. In all cases, glacier snout fluctuations display a negative trend, and the glaciers of this region display an accelerated retreat, leading to a further regression of the snout position. By 2050, the retreat is estimated to be between about 300 and 400 m with respect to the current position. Glacier regression is more intense for the RCP8.5 and A1B scenarios, as it could be expected from the higher severity of these emission pathways.     

Potential synergies of the main current forestry efforts and climate change mitigation in Central Africa

In Central Africa, important carbon stocks are stored in natural forest stands, while activities that modify the carbon storage occur in the forest landscape. Besides clean development mechanisms, the reduction of emission through deforestation and degradation (REDD) initiative is viewed as one way to mitigate climate change. Important forest habitat protection activities have already been implemented with the aim of conserving the biodiversity of the region in a sustainable manner. The main causes of land use changes in the region are small holder subsistence practices and logging activities. Agricultural production has low productivity levels and therefore investments in improved agricultural techniques can both reduce pressure on existing forests and perhaps allow for the reforestation of existing degraded lands. The logging industry is dominated by large, industrial scale, logging operations performing selective logging of specific species and large trees. The adoption of improved forest management practices can reduce the impact of such logging on the ecological integrity and carbon stocks. Some efforts to engage in the carbon market have begun in the region. Further research is needed into the types of projects that will most likely become successful in the region and what locations will offer the greatest benefits.     

Model-based scenarios of water use in two semi-arid Brazilian states

Sustainability-oriented water management calls for scenarios of future water use. Model-based qualitative-quantitative scenarios combine the development of story lines and the quantification of driving forces with the application of a water use model. In order to support regional planning in two semi-arid Brazilian states suffering from water scarcity, the water use model NoWUM was applied to derive two reference scenarios of municipality-specific sectorial water uses (irrigation, livestock, household, industry and tourism), and to assess the impact of certain interventions. Until 2025, the extension of irrigation accounts for almost 80% of the additional water withdrawals and for an even higher fraction of consumptive use in both scenarios. Domestic and industrial use increases in regions with high immigration, but water use intensities can be controlled by appropriate water pricing. A significant improvement of the developed scenarios is only possible if better data on water use and its driving forces become available. Electronic Publication     

Dangerous climate change and water resources in Australia

Water resources in Australia are sensitive to changes in rainfall. Ongoing droughts in south-west and south-east Australia are stressing water resources in the major cities and in agricultural regions. Climate change scenarios for Australia include reasonable prospects of long-term drying, which would exacerbate these issues. The dryer scenarios would entail major readjustments and costs on natural and human systems.     

An exploration of the interaction between socio-economic productivity and water withdrawal

The term sustainability invites interest in the main factors that affect the deterioration of natural resources. Different hypotheses have been put forward concerning the relationship between water and its effect on different economic sectors. Several questions can be asked here, for example: Does a higher water withdrawal for one sector mean that this sector is adding more to the GDP or is it a sunk cost (it is the cost that should be ignored compared to the benefit of water withdrawal for an individual economic sector) compared with the benefits to the economy? Do social factors affect water withdrawal more than economic factors or are they both impacting equally? We aim to answer these questions and to shed light on different socio-economic factors that affect water withdrawal in different economic sectors. This study investigates, in depth, the interaction between humans and the environment and can be useful in monitoring the direct effect on water withdrawal from agricultural and non-agricultural sectors and on different national economic variables that act as an indicator for economic development and growth. We used simultaneous equation models in our analysis, both the three-stage least squares and the two-stage least squares to explore the relationships. For more credibility, we run the fixed and random effects of 2SLS. Our results showed the influence of trade openness and economic growth on water withdrawal for different economic sectors, and the effect of an increasing demand for water for non-agricultural purposes, which adds pressure on the agricultural sector and eventually may lead to rising food prices.     

群链产业合作模式下“京津冀”区域水资源优化配置研究

产业间的合作在不同区域中呈现出不同的形式,这会导致基于其建立的水资源合作联盟形式各异,进而会影响区域内合作水资源的整体收益。为优化"京津冀"区域内的水资源配置,本文基于产业合作的群链模式机理和模糊联盟博弈思想,提出了一种具有三阶段结构的"京津冀"区域水资源配置模式。在第一阶段,以满足"京津冀"区域居民生活用水需求并兼顾产业间的水资源配置公平为目标,通过构建水资源一次配置模型,进行区域内各用水主体间的一次配置;在第二阶段,针对"京津冀"区域内产业间合作的群链结构,分析产业间进行水资源模糊合作博弈可能出现的模糊联盟形式,进而构建出水资源二次配置模型以实现水资源收益(效率)最大化,二次配置模型采用"优先规则"建立各水资源合作模糊联盟的支付函数,将"京津冀"区域内所有产业用水主体在第一阶段配置中获得的水资源按一定比率配置到各联盟中;在第三阶段,考虑模糊联盟的稳定性,采用模糊shapley值法对第二阶段配置后各模糊联盟的收益分配给产业用水主体。本文运用算例对上述水资源配置模式的有效性进行了验证。算例分析结果显示:(1)"京津冀"区域内各产业间合作关系为群链模式时,各产业通过形成多种形式的水资源合作模糊联盟,获得比其单独利用水资源时更高的用水收益;(2)京津冀区域内各产业的总体用水收益也高于各产业单独利用水资源时的总用水收益。即本研究中的水资源配置模式有效。因此,该水资源配置模式可为产业合作关系为群链模式的区域,在进行产业间水资源优化配置时提供决策参考。     

Regionalization of climate scenarios impacts on maize production and the role of cultivar and planting date as an adaptation strategy

Understanding climate change and its impacts on crops is crucial to determine adaptation strategies. Simulations of climate change impacts on agricultural systems are often run for individual sites. Nevertheless, the scaling up of crop model results can bring a more complete picture, providing better inputs for the decision-making process. The objective of this paper was to present a procedure to assess the regional impacts of climate scenarios on maize production, as well as the effect of crop cultivars and planting dates as an adaptation strategy. The focus region is Santa Catarina State, Brazil. The identification of agricultural areas cultivated with annual crops was done for the whole state, followed by the coupling of soil and weather information necessary for the crop modeling procedure (using crop model and regional circulation models). The impact on maize yields, so as the effect of adaptation strategies, was calculated for the 2012–2040 period assuming different maize cultivars and planting dates. Results showed that the exclusion of non-agricultural areas allowed the crop model to correctly simulate local and regional production. Simulations run without adaptation strategies for the 2012–2040 period showed reductions of 11.5–13.5 % in total maize production, depending on the cultivar. By using the best cultivar for each agricultural area, total state production was increased by 6 %; when using both adaptation strategies—cultivar and best planting date—total production increased by 15 %. This analysis showed that cultivar and planting date are feasible adaptation strategies to mitigate deleterious effects of climate scenarios, and crop models can be successfully used for regional assessments.     

Biodiversity of forest vegetation under industrial pollution

Parameters of species and typological diversity of forest vegetation have been evaluated on macroslopes descending to Lake Imandra in the vicinity of the Severonickel Mining and Smelting Complex (SMSC) (Murmansk oblast). It has been shown that these parameters change upon an increase in the pollution level, with the pattern of changes in northern taiga forests differing from that in krummholz stands. The species richness and typological diversity of forest communities increase in the middle zone of the pollution gradient, compared to those in the krummholz belt occupying the upper parts of the slopes. Species saturation in all types of communities on landscape transects consistently decreases along the pollution gradient. In general, changes in parameters of diversity provide evidence for strong digression of plant communities in the vicinity of the SMSC.