Local Adaptation Strategies Research Articles

Learning with practitioners: climate change adaptation priorities in a Canadian community

Adaptation is already a necessary response to climate change for northern communities. The City of Prince George, in British Columbia, Canada, has been adjusting to impacts for years and there is a high level of local awareness of climate change. The purpose of this study was to collaborate with City staff and other organizations to undertake action-oriented research with the goal of creating a local adaptation strategy. Steps taken toward this goal included: producing downscaled climate scenarios; facilitating a workshop with local practitioners to prioritize impacts; gathering public feedback regarding impacts; and triangulating sources of information to determine community adaptation priorities. Changes to forests and increased flooding are the top local adaptation priorities, and impacts related to transportation, severe weather and water supply are high priorities. Other impacts, such as health effects and agricultural changes, are also important but did not rank highly using a risk framework focused on negative physical effects. Local impacts, actions the City is undertaking to address them and suggestions for implementing adaptation measures are summarized. The process of creating an adaptation strategy has proven highly valuable in Prince George and has precipitated further engagement and action. Due to the low profile of adaptation and limited resources in many communities, researchers and practitioners must capitalize on opportunities to incorporate adaptation into existing plans and processes. Lessons from the Prince George experience can be applied to other communities as they strive to effectively adapt to climate change.

Impact of climate change on water resources status: A case study for Crete Island, Greece

An assessment of the impact of global climate change on the water resources status of the island of Crete, for a range of 24 different scenarios of projected hydro-climatological regime is presented. Three “state of the art” Global Climate Models (GCMs) and an ensemble of Regional Climate Models (RCMs) under emission scenarios B1, A2 and A1B provide future precipitation (P) and temperature (T) estimates that are bias adjusted against observations. The ensemble of RCMs for the A1B scenario project a higher P reduction compared to GCMs projections under A2 and B1 scenarios. Among GCMs model results, the ECHAM model projects a higher P reduction compared to IPSL and CNCM. Water availability for the whole island at basin scale until 2100 is estimated using the SAC-SMA rainfall–runoff model And a set of demand and infrastructure scenarios are adopted to simulate potential water use. While predicted reduction of water availability under the B1 emission scenario can be handled with water demand stabilized at present values and full implementation of planned infrastructure, other scenarios require additional measures and a robust signal of water insufficiency is projected. Despite inherent uncertainties, the quantitative impact of the projected changes on water availability indicates that climate change plays an important role to water use and management in controlling future water status in a Mediterranean island like Crete. The results of the study reinforce the necessity to improve and update local water management planning and adaptation strategies in order to attain future water security.

Patterns in household-level engagement with climate change in Indonesia

Understanding public engagement with climate change in developing countries is critical for the success of local adaptation strategies. A study in Indonesia shows that nearly one-third of the population has observed and perceived risks of climate change—contrary to previous research suggesting low levels of awareness—but has not taken action to address it.

Breakout local search for the quadratic assignment problem

The quadratic assignment problem (QAP) is one of the most studied combinatorial optimization problems with various practical applications. In this paper, we present breakout local search (BLS) for solving QAP. BLS explores the search space by a joint use of local search and adaptive perturbation strategies. Experimental evaluations on the set of QAPLIB benchmark instances show that the proposed approach is able to attain current best-known results for all but two instances with an average computing time of less than 4.5hours. Comparisons are also provided to show the competitiveness of the proposed approach with respect to the best-performing QAP algorithms from the literature.

Summer temperature extremes in northeastern Spain: spatial regionalization and links to atmospheric circulation (1960–2006)

A procedure for classifying daily summer temperature extremes in northeastern Spain into homogenous regions has been presented and evaluated. This procedure employed daily temperature series from a dense network of 128 weather stations spanning the period from 1960 to 2006. Characteristics of temperature extremes included temperature frequency (e.g., warm days), intensity (e.g., warmest day), and duration (e.g., maximum length of hot spell). Following the results of the principal components analysis and Ward's method of clustering, the study area was divided into four homogenous sub-regions in terms of both the geographic and climatic meanings: the Mediterranean region, the mainland and the Cantabrian region, the moderately elevated areas westward and southward, and the mountainous region. Based on an internal cluster validation measure (Silhouette width), the quality of clustering was evaluated and ensured. The temporal evolution of the long-term (1960–2006) temperature extremes clearly showed a different behavior amongst these sub-regions. The Mediterranean and the highly elevated regions revealed the strongest signals in both daytime and nighttime extremes. For mainland areas, considerable differences in the behavior of the daytime and nighttime temperature extremes were evident. The influence of atmospheric circulation on spatial and temporal variability of temperature extremes was also explored. The variability of summer temperature extremes in NE Spain appears to be mainly driven by the Scandinavian (SCA), the Western Mediterranean Oscillation (WeMO), and the East Atlantic (EA) patterns, with a tendency toward increasing during the positive (negative) phases of the EA (WeMO and SCA) circulation modes. In such a region with complex geography and climate, regionalization of summer temperature extremes can be advantageous for extracting finer-scale information, which may prove useful for the vulnerability assessments and the development of local adaptation strategies in areas such as health, ecosystems and agriculture.

Environmental change, agricultural innovation, and the spread of cotton agriculture in the Old World

Recent excavations at the site of Kara-tepe in northwestern Uzbekistan revealed evidence for the production of cotton (Gossypium sp.) in domestic contexts dated to ca. 300–500 AD. These archaeobotanical remains help to document the spread of Old World cotton production, and predate the existing evidence for its cultivation in Central Asia. The context in which these remains were found—in temperate Eurasia at a time of intense environmental and social change—suggests that the spread of cotton agriculture to this region occurred when new plant varieties were incorporated into domestic production regimes as part of local adaptive strategies. The development and transmission of cotton as a global cultigen was initiated by these small-scale innovations aimed at the expansion of economically and environmentally sustainable subsistence practices in Central Asia. Subsequent worldwide transmission occurred when emerging empires helped to spread cotton agriculture more widely across the Old World.

Breakout Local Search for the Max-Cutproblem

Given an undirected graph G=(V,E) where each edge of E is weighted with an integer number, the maximum cut problem (Max-Cut) is to partition the vertices of V into two disjoint subsets so as to maximize the total weight of the edges between the two subsets. As one of Karp's 21 NP-complete problems, Max-Cut has attracted considerable attention over the last decades. In this paper, we present Breakout Local Search (BLS) for Max-Cut. BLS explores the search space by a joint use of local search and adaptive perturbation strategies. The proposed algorithm shows excellent performance on the set of well-known maximum cut benchmark instances in terms of both solution quality and computational time. Out of the 71 benchmark instances, BLS is capable of finding new improved results in 34 cases and attaining the previous best-known result for 35 instances, within computing times ranging from less than 1s to 5.6h for the largest instance with 20,000 vertices.

Breakout Local Search for maximum clique problems

The maximum clique problem (MCP) is one of the most popular combinatorial optimization problems with various practical applications. An important generalization of MCP is the maximum weight clique problem (MWCP) where a positive weight is associate to each vertex. In this paper, we present Breakout Local Search (BLS) which can be applied to both MC and MWC problems without any particular adaptation. BLS explores the search space by a joint use of local search and adaptive perturbation strategies. Extensive experimental evaluations using the DIMACS and BOSHLIB benchmarks show that the proposed approach competes favourably with the current state-of-art heuristic methods for MCP. Moreover, it is able to provide some new improved results for a number of MWCP instances. This paper also reports for the first time a detailed landscape analysis, which has been missing in the literature. This analysis not only explains the difficulty of several benchmark instances, but also justifies to some extent the behaviour of the proposed approach and the used parameter settings.

Understanding community based adaptation strategies to climate variability in fishing communities of Rufiji River basin in Tanzania

This paper provides a highlight of the existing local community adaptation strategies that fishing communities in Rufiji Basin, in Tanzania, are employing to counteract the negative impacts of climate change and climate variability. Data were collected through key informants interviews, focus group discussions and in-depth interviews using a structured questionnaire that was administered to 120 household heads from two fishing communities (marine and freshwater resources communities). Findings indicate that, communities have acknowledge existence of a significant change in rainfall patterns, wind direction and duration, temperature and variation in seasons. These have resulted into disappearance of some fish species and fish production in terms of lowering catches. Following the low catch and disappearance of some species, the fishing communities have developed some adaptation strategies including shifting to crop cultivation, fishing during both day and night, sailing long distances for fishing and zoning the fishing areas. From the findings obtained, a framework that integrates local communities’ effective copying strategies that has been indicated to work better in the area and interventions geared to influence policy and institutions that are dealing either directly or indirectly with the impact of climate change and climate variability is recommended to aid decision making that will ensure the impacts of climate change and climate variability is reduced for the good of the fishing communities. Key words: Adaptation strategies, freshwater resources, marine resources

Community-based Participatory Process – Climate Change and Health Adaptation Program for Northern First Nations and Inuit in Canada

Objectives: Health Canada's Program for Climate Change and Health Adaptation in Northern First Nation and Inuit Communities is unique among Canadian federal programs in that it enables community-based participatory research by northern communities.Study design: The program was designed to build capacity by funding communities to conduct their own research in cooperation with Aboriginal associations, academics, and governments; that way, communities could develop health-related adaptation plans and communication materials that would help in adaptation decision-making at the community, regional, national and circumpolar levels with respect to human health and a changing environment.Methods: Community visits and workshops were held to familiarize northerners with the impacts of climate change on their health, as well as methods to develop research proposals and budgets to meet program requirements.Results: Since the launch of the Climate Change and Health Adaptation Program in 2008, Health Canada has funded 36 community projects across Canada's North that focus on relevant health issues caused by climate change. In addition, the program supported capacity-building workshops for northerners, as well as a Pan-Arctic Results Workshop to bring communities together to showcase the results of their research. Results include: numerous films and photo-voice products that engage youth and elders and are available on the web; community-based ice monitoring, surveillance and communication networks; and information products on land, water and ice safety, drinking water, food security and safety, and traditional medicine.Conclusions: Through these efforts, communities have increased their knowledge and understanding of the health effects related to climate change and have begun to develop local adaptation strategies.

Planning for climate change adaptation: lessons learned from a community-based workshop

Abstract Adaptation is now broadly accepted as a necessary response to climate change. Local adaptation strategies should be developed with decision-makers familiar with the unique characteristics of a community. As part of ongoing research on adaptation in Prince George, British Columbia, Canada we hosted a workshop with City staff and community stakeholders to build local capacity and initiate an adaptation strategy. Past climate trends and future scenarios were used to gain a better understanding of the changes occurring and expected in the region. The highest priorities identified for Prince George relate to forest fires, flooding, emergency response to extreme events, water supply and transportation infrastructure. The workshop framework represents a tool which communities can apply to outline adaptation priorities within a limited time frame.

Evolving local climate adaptation strategies: incorporating influences of socio–economic stress

Socio-economic and climatic stresses affect local communities’ vulnerability to flooding. Better incorporation of socio-economic stress in local vulnerability assessments is important when planning for climate adaptation. This is rarely done due to insufficient understanding of their interaction, in both theory and practice. The omission leads to critical weaknesses in local adaptation strategies. This study analyses how socio-economic stress interact with climatic stress and shape local vulnerability to flooding, and how such stress can be more efficiently managed within local government organisations. A framework containing potential stresses was developed and applied to investigate how socio-economic stress affected exposure, sensitivity, and adaptive capacity in two case studies, using interview and group exercise transcripts. Cases consisted of major development projects in two Swedish municipalities, Gothenburg and Lilla Edet. The cases were similarly exposed to climatic stress but differed in socio-economic context, and previous professional climate change experience. Fierce foreign competition and market structure were seen as the two most significant socio-economic stresses influencing local vulnerability to flooding through shaping the ‘local’ worldview. In falling order sensitivity, exposure, and adaptive capacity were seen to be influenced by the socio-economic stresses. Two approaches to efficiently incorporate climatic and socio-economic stress in local management are proposed: shifting the focus of vulnerability assessments towards future sensitivity of people and settlements, rather than on the current infrastructure’s sensitivity, would facilitate their use in planning and by ‘mainstreaming’ adaptation into long-term strategic planning vulnerability would be more dynamically addressed and periodically revised.

The social organisation of adaptation to climate variability and global change: The case of a mountain farming community in Norway

Local strategies to manage climate variability are key to adapting to climate change in the long term. We investigate how local adaptive strategies are socially organised through a study of Øystre Slidre, a Norwegian mountain farming community operating close to the climatic margins. Farmers actively use informal social relations in accessing equipment and labour in order to secure production and quality of life. The importance of such relations in managing climate variability persists even with a dramatic shift towards larger scale production, increasing formalisation and economic diversification. Despite social innovations and adaptations such as the re-forming of social relationships and institutions, the concurrent reduction in the number of people involved in farming may be putting the flexibility of social networks and practices of collaboration under pressure, potentially undermining adaptive capacity to climate change. Future research and policy need to focus on ensuring social innovation in the social organisation of adaptation.

Climate change and local adaptation strategies in the middle Inner Mongolia, northern China

According to records of 17 meteorological stations distributed in the study area, climate change of the middle Inner Mongolia in northern China was analyzed in this paper. Based on SPOT VGT data, combined with field investigation, local vegetation change was detected in the last 10 years. The results show that annual mean air temperature obviously rose, while precipitation slightly decreased in fluctuation in the study area during the last 50 years. Air temperature increasing rates are +0.318°C 10 year−1 during 1960-2009 and +0.423°C 10 year−1 during 1980–2009, while precipitation decreasing rates are −2.91 mm 10 year−1 during 1960–2009. There were five different dry or wet periods from the 1960s to the 2000s in order, and the wetter 1990s and the drier 2000s changed dramatically in the study area. Local climate totally tend to warm–dry conditions during the last 50 years. According to coefficient of variation (Cv) of yearly growing-season cumulative NDVI value and yearly NDVI maximum in pixel scale, vegetation had experienced huge temporal and spatial variation during the last 10 years. Recently, frequent droughts and dust storms seriously affected local agriculture and grazing activities, and resulted in heavy economic loss, especially over the drought period of 1999–2001. Faced with those drought disasters accompanied with strong dust storms, the local authorities proposed the enclosing-transferring strategy and made great efforts to adapt overt climate change and improve environment, including making selective emigration, decreasing livestock numbers, fencing grasslands and building forage production bases with irrigation instruments and actively adjusting industry structure. However, some effects and potential problems of this adaptation strategy still need to be comprehensively assessed further in longer time scales and aimed at different sub-regions.

Climate Change and Variability, Its Impact on Rural Livelihoods, Local Coping and Adaptation Strategies in Woreilu <i>Woreda</i>, North Eastern Ethiopia

The study examines local climate change and variability situations, trends and impacts on the local adaptation and coping strategies in Woreilu Woreda.1 It uses historically recorded temperature and rainfall, and household socio-economic data gathered from four kebeles2, 8 villages and 154 rural households, which were analyzed using statistical tools and qualitative data analyzing techniques. The study revealed that the annual rainfall amount showed decreasing trend and increasing variability while temperature has, in general, increased. Drought has become more frequent and intense. As the local adaptation strategies become outdated, the people confronted with a situation that they are not sufficiently equipped to handle impacts of climate variability and change. Thus, the study suggests a relentless need to address these challenges both from short and longtermpolicy perspectives.

Climate Change Impacts on Western Pacific Northwest Prairies and Savannas

This paper represents a collaboration by conservation practitioners, ecologists, and climate change scientists to provide specific guidance on local and regional adaptation strategies to climate change for conservation planning and restoration activities. Our geographic focus is the Willamette Valley-Puget Trough-Georgia Basin (WPG) ecoregion, comprised of valley lowlands formerly dominated by now-threatened prairies and oak savannas. We review climate model strengths and limitations, and summarize climate change projections and potential impacts on WPG prairies and oak savannas. We identify a set of six climate-smart strategies that do not require abandoning past management approaches but rather reorienting them towards a dynamic and uncertain future. These strategies focus on linking local and regional landscape characteristics to the emerging needs of species, including potentially novel species assemblages, so that prairies and savannas are maintained in locations and conditions that remain well-suited to their persistence. At the regional scale, planning should use the full range of biological and environmental variability. At the local scale, habitat heterogeneity can be used to support species persistence by identifying key refugia. Climate change may marginalize sites currently used for agriculture and forestry, which may become good candidates for restoration. Native grasslands may increasingly provide ecosystem services that may support broader societal needs exacerbated by climate change. Judicious monitoring can help identify biological thresholds and restoration opportunities. To prepare for both future challenges and opportunities brought about by climate change, land managers must incorporate climate change projections and uncertainties into their long-term planning.

Gums and resins: The potential for supporting sustainable adaptation in Kenya's drylands

Frequent droughts and conflicts are key challenges faced by nomadic pastoralists in Kenya's drylands. Few options exist for alternative livelihoods. This article investigates the potential of collecting plant gums and resins for livelihood diversification and for contributing to sustainable adaptation to climate change in Kenya's drylands. Observations were made in various studies over a period of two years on dryland vegetation resources, and interviews undertaken with gum collectors. This research found that many households currently collect and sell plant gums and resins as alternative to livestock production. These include gum arabic from Acacia senegal and Acacia seyal; myrrh from Commiphora myrrha; hagar from Commiphora holtziana; and frankincense from Boswellia neglecta. Collectors include poor people, women and children and some opportunists. Incomes are relatively low, however, and several factors constrain the activity. The case of gums and resins illustrates that key principles of sustainable adaptation are related: supporting local knowledge and adaptation strategies (one key principle of sustainable adaptation) does not contribute to sustainability unless at the same time contextual factors that marginalize livelihoods are addressed (another key principle).

Adaptive second-order consensus of networked mobile agents with nonlinear dynamics

We investigate second-order consensus of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a small fraction of agents in the group have access to the information about the position and velocity of the virtual leader through, for example, certain pre-designed communication mechanism such as wireless broadcasting or sensing. To avoid fragmentation, we propose a connectivity-preserving second-order consensus algorithm. Under the assumption that the initial network is connected, we introduce local adaptation strategies for both the weights on the velocity navigational feedback and the velocity coupling strengths that enable all agents to synchronize with the virtual leader even when only one agent is informed, without requiring any knowledge of the agent dynamics. We finally provide some convincing simulation results to illustrate the theoretical results.

Policy solutions in the U.S.

The paper focuses on relocation, retreat, zoning, insurance, and subsidy as major dimensions of coastal hazard mitigation measures that have resurfaced as potent forces for combating coastal inundation and climate change. It reviews the issues surrounding the practice of these measures and discusses compatibilities of policies, engineering measures, and natural defense. Property rights, development interest, and distorted financial incentives pose as main barriers to coastal relocation and retreat policies in hazard-prone areas. To understand and propose coastal adaptation solutions, the paper recommends place-based studies of local coastal adaptation strategies. Place-based studies offer an in-depth knowledge of local conditions specifically regarding the level of implementation of hazard mitigation policies, and shed light on important trade-offs and synergies of various hazard policies. In addition, coupling existing hazard mitigation policies with coastal management and community management can better inform long-term and comprehensive planning of coastal adaptation.

Integrating disaster risk reduction and climate change adaptation: key challenges—scales, knowledge, and norms

Statistical data shows that the increase in disasters due to natural hazards over the past 20 years has, for the most part, been caused by meteorological and hydrological events. This increase has been largely assigned to climate change [Centre for Research on the Epidemiology of Disasters (CRED), 2010, http://www.emdat.be/Database/Trends/trends.html], that is, with climate-related hazards being major triggers for the majority of disasters. Consequently, there is obvious concern about how a changing climate will exacerbate the situation in the future (McBean and Ajibade in Curr Opin Environ Sustain 1:179–186, 2009). However, the attribution of a single hazard event or specific losses to climate change is still difficult, if not impossible, due to the complexity of factors that generate disaster losses. Disaster risk is a product of the interaction of the hazard (event) and the vulnerability conditions of the society or elements exposed. As a result, the need for a systematic linkage between disaster risk reduction (DRR) and climate change adaptation (CCA) to advance sustainable development, and finally human security is being discussed within the ongoing climate change negotiations as well as within the disaster risk community, for example, in the framework of the Intergovernmental Panel on Climate Change special report on ‘Managing the risks of extreme events and disasters to advance climate change adaptation’. However, crucial differences between DRR and CCA exist that have widely limited or hampered their integration in practice. A review of existing literature on the topic and current national and local adaptation strategies, as well as 38 expert interviews conducted between April and May 2009, have led the authors to hypothesise that most of these differences and challenges can be categorised with respect to different spatial and temporal scales, the knowledge base, and norm systems. This paper examines the reasons for the practical barriers when linking CCA and DRR according to these three aspects. Finally, we outline recommendations and measures that need to be adopted in order to overcome existing barriers. In addition, quality criteria are formulated that should be applied in order to constantly monitor and evaluate adaptation strategies designed to simultaneously meet DRR requirements and vice versa.