Adaptation Actions Research Articles

The integrated role of adaptive leadership, sense of empathy and communication transparency: trust building in corporate communication during the pandemic

PurposeThe COVID-19 pandemic has generated a significant impact on several aspects of public relations practice. By adopting the theoretical framework of adaptive leadership, this research is designed to explore how an organization’s top leadership can support related adaptive action in strategic communication. Particularly, we hope to explore whether the application of adaptive leadership could facilitate a higher level of communication transparency as well as deliver a sense of caring and empathy in COVID-19 communication.Design/methodology/approachAn international online survey was designed and conducted for this study. The first sample consists of 776 full-time communication professionals in the United States of America with 435 women (56.1%) and 341 men (43.9%). The second sample consists of 268 full-time communication professionals in Canada, with 110 women (41.0%) and 158 men (59.0%). The two samples were merged into the final sample of 1,044 for the data analysis.FindingsResults confirmed that the perceived impact of the COVID-19 pandemic increased communication professionals’ challenges in building trust. It also drives adaptive changes in their coping actions in strategic communication. More importantly, the top leadership within the organization played a key role in this adaptive leadership environment by demonstrating commitment to transparency in COVID-19 communication and delivering a sense of empathy during the pandemic.Originality/valueThis study contributes to our understanding of strategic communication in times of crisis, such as the COVID-19 global pandemic, by focusing on the adaptive nature of communication leadership. More importantly, our study confirms the important roles of two leadership attributes (i.e. the sense of empathy and the commitment to communication transparency) in supporting adaptive leadership, which eventually influences trust building.

On the use of historical data in context-aware multimedia documents adaptation processes

Playing multimedia documents in ubiquitous systems may require content adaptation based on gathered context information and accumulated historical data. Several approaches have already been proposed, in which adaptation actions are performed to provide adapted documents. Nevertheless, these approaches focus mainly on efficient use of context information without involving historical users data to improve the adaptation process. Thus, this paper allows for consideration of historical users data during the execution of the adaptation process. To do so, the context elements and the adaptation actions are first modeled using the oriented-object approach and then converted into relational and NoSQL databases schemes. Finally, algorithms for storing, retrieving and analysing data are designed. The proposal is validated by implementing scenarios through a real prototype. At a first step, the performances are measured to estimate the cost of data processing. The experiments show that NoSQL databases excel in data storage and ease of implementation, while relational databases perform well in data retrieve. At a second step, the proposal usefulness is highlighted by showing how historical data contribute to adaptation rules personalization using datadriven rule learning mechanisms rather than defining them explicitly. The analysis algorithm could retain personalized adaptation rules with confidence degree greater than 90%. Overall, the results are satisfactory.

Potential Barriers to Adaptive Actions in Water–Rice Coupled Systems in Japan: A Framework for Predicting Soft Adaptation Limits

AbstractThe changing climate makes it more difficult to manage water resources and food production sustainably. Various adaptation measures have been proposed to moderate the negative impacts of climate change; however, implementation of these measures may be hampered by other factors even if the benefits are acknowledged—a situation termed “soft adaptation limits” by the IPCC. We hypothesized that societal rules can be a potential barrier to adaptive action if they are too fixed, because such rules have coevolved with the interactions between the past climate and human activities. To test this hypothesis, we present a framework based on the assumption that associated societal rules of Japan's matured irrigation systems are potential barriers to adaptation. The framework consisted of two process‐based models, one to evaluate the water deficit risk and one to evaluate the benefits of optimizing rice yield and quality. We applied each model to an experiment in which we shifted the current transplantation date by 1 week for up to 5 weeks before and after the current date under the historical (1981–2000) and RCP 2.6 and 8.5 (2011–2030 and 2031–2050) scenarios. We revealed two contrasting development pathways in the study watershed. Soft adaptation limits imposed by water availability will occur by 2030 if farmers optimize for quality, whereas mutual benefits to farmers and river administrators will be achieved if farmers seek yield. We argue that more participatory research with stakeholder engagement, as well as policy discussions about these possible developments, is needed to ensure successful adaptation.

The 2021 extreme rainfall in Gävle, Sweden: impacts on municipal welfare services and actions towards more resilient premises and operations

Abstract Climate-related risks, vulnerabilities, and impacts are increasing in cities, illustrated by precipitation-driven pluvial floods. Post-event analyses can aid in reducing urban flood risks, but knowledge gaps exist regarding how welfare services and premises are impacted and can be adapted. This study analyses an extreme precipitation-driven event generating extensive flooding in Gävle, Sweden, in 2021. The objective is to increase knowledge about how municipal welfare services are vulnerable to pluvial floods, and of appropriate actions towards improving the response capacity and building more resilient welfare premises and operations. The study shows that the Swedish weather warning system generally worked well, but the analysed property companies lacked strategies and equipment to evade flooding in their properties. Flood damages in 60 analysed buildings were generated by different causes, demonstrating the importance of contemplating the vulnerability of welfare buildings when conducting flood risk assessments. Although the flood event did not cause deaths or serious personal injuries, the study identified impacts on welfare service operations in both the short and long terms. The event increased learning on climate adaptation but did not trigger adaptive action. Identified keys for adaptation include prioritizing premises to protect, knowledge of flood protection equipment, insurance company requirements, and updated emergency plans.

Urban planning for flood resilience under technical and financial constraints: The role of planners and competence development in building a flood-resilient city in Matola, Mozambique

Today, urban flood resilience constitutes an academic and political discourse as well as a ‘proposed state’ to be achieved within urban management, planning, and development. Matola, a major Mozambican coastal city, has witnessed many floods, mainly caused by rainfall, the most devastating of which happened in 2000. This study analyses the actions the urban planners took during that major flood event, what flood mitigation and adaptation strategies and measures for increased flood resilience they have developed since that flood event, and the contribution of urban planning to building flood resilience under financial and technical constraints. The study is based on interviews with 32 urban planners from Matola and observations in the field. In addition to financial limitations, the main challenge in promoting flood resilience in Matola is the deficient and insufficient coordination in mitigation and adaptation actions among urban planners, political elites, and members of low-income urban communities, who use floodplain areas for purposes that contradict resilience-building actions. During the 2000 floods, mitigation actions were carried out by rescuing people and goods and placing them in accommodation centres. After the 2000 floods, gradual adaptation strategies and measures were carried out, such as hiring and training staff, designing a new urban plan, gradual resettlement, opening drainage channels, and allocating water pumping systems in some areas to promote flood resilience. The study concludes that urban planning contributed significantly to the building and promotion of flood resilience in Matola: the strategies and measures taken so far have contributed significantly to reducing the exposure and vulnerability to flooding of the population, their assets, and urban infrastructure, as well as improving the ecosystem in lowlands and coastal protection wetlands. The study brings a contribution from retrospective and prospective resilience thinking to the debate on building and promoting resilience in urban socio-ecological systems, showing the role of urban planners, and planning and management activity since the 2000 floods, and perspectives on the future. The study demonstrates that the development of competences or technical skills to plan and manage strategies and measures to promote resilience is a key factor in promoting socio-ecological resilience.

PARTISIPASI PEREMPUAN DALAM PROGRAM KAMPUNG IKLIM (PROKLIM) (Studi Kasus di Dusun Palasari Desa Sukahurip Kecamatan Cihaurbeuti Kabupaten Ciamis)

One of Indonesia's current development sectors is climate change control. Program Kampung Iklim was created, so that communities at the site level can carry out adaptation, mitigation, and institutional actions & sustainable support. Palasari hamlet is a ProKlim hamlet, but has low participation from the female population, so that achieving program sustainability is slightly hampered. The purpose of this study was to determine women's participation in the Program Kampung Iklim. The method used in this research is a case study with data collection through interviews, observation, and documentation. The results showed that women's participation went through 4 stages, (1) women's participation in ProKlim planning, including response participation such as asking questions in socialization activities and participation of tools and materials. (2) Women's participation in the implementation of ProKlim, there is participation of support, there is also participation of expertise and labor. (3) Women's participation in the utilization of ProKlim results, there is an increase in knowledge because it is reflected in the skills in utilizing yard land to improve food security. (4) Women's participation in the evaluation of ProKlim, namely by giving opinions/responses when the activities/programs have been implemented. ProKlim is a series of processes using the principle of empowerment, with the aim of reducing greenhouse gas emissions to create prosperity.

Planning for wastewater infrastructure adaptation under deep uncertainty

Infrastructure in low-lying coastal areas faces challenges from climate change, sea level rise, and the impact of compound hazards. Dynamic adaptive pathways planning (DAPP) is increasingly being applied as a way of planning under deep uncertainty. Stress testing for robustness is an integral part of DAPP which provides decision-makers with confidence. We outline a seven-step approach—combining scoping workshops, systems mapping, DAPP, exploratory modelling, robust decision-making, real options analysis and validation workshops—to support decision-making for infrastructure in low-lying coastal areas. We apply the seven steps to two wastewater treatment plant (WWTP) case studies in New Zealand to quantify indicators, signals, triggers and adaptation thresholds within DAPP plans and to identify adaptation pathways that are robust against future uncertainty. Case study one focuses on the implementation of an existing DAPP at Helensville WWTP. Our modelling enabled the challenge of quantifying indicators for adaptation thresholds and triggers to be overcome. We show that an adaptation threshold occurs at 31 cm of RSLR, the trigger point is sufficient lead time to enable relocation, and the indicator is the rate of observed RSLR. Case study one demonstrates in a quantitative way how an existing DAPP can be functionally implemented by a water management agency. Modelling for case study two, the Seaview WWTP, showed that 26 cm and 56 cm of RSLR are key thresholds. Nuisance flooding may occur after 26 cm of RSLR, which could happen as early as 2040 under a high emissions scenario. Inundation of plant assets may occur after 56 cm of RSLR, which could occur as early as 2060. Modelling showed that implementing changes to plant layout would allow the plant to remain on site for its design life (until 2080). Five adaptation archetypes were developed—sequences of adaptive actions that achieve the performance objective of continuing levels of service and avoid inundation of WWTPs. The seven-step approach is a way to stress-test a DAPP, to quantify signals, triggers and adaptation thresholds and to simulate implementation of a DAPP under a range of scenarios. This can facilitate more robust decision-making for wastewater infrastructure assets under future uncertainty.

A stage-based life cycle implementation for individual-based population viability analyses of grey wolves (Canis lupus) in Europe

Population viability analyses (PVA) are important tools for decision-making and planning of adaptive wildlife management actions. While earlier approaches on individual based PVAs have often been age-based, analyses of species with strong social structure might benefit from a stage-based model approach. In this study, we designed an individual-based and stage-based PVA within the software Vortex. As a case study, we applied our model to the German part of the European wolf population, making use of comprehensive data sets originating from the German monitoring regime including individual genotypes. Genetic diversity and inbreeding were important considerations in our analysis, as they could greatly impact population dynamics. We aimed to assess the population's trajectory, extinction risk, and genetic integrity under different scenarios while analyzing factors that could affect its survival. We found that mortality rates at different life cycle stages had varying effects on population growth. Higher mortality rates among pups and dispersers led to negative growth and increased the risk of extinction. In comparison, higher mortality rates among yearlings and subdominant wolves still resulted in positive growth but at a slower rate. Mortality among the breeding individuals within the pack (territorials) had the highest impact on population trajectory. Although the German wolves represent a rather recently founded population, our simulations predicted generally good genetic diversity as long as the population was not held at artificially low numbers.Ultimately, we present a generic, easy-to-use-and-adapt model built within the Vortex environment, that after appropriate modification, calibration and testing could be used within conservation practice and management in collaboration with scientific research. Our study highlights the importance of stage-based modeling for understanding the demographic traits of social species like wolves.

Incorporating Climate Adaptation into a Forest Management Plan: A Case Study on the Research and Teaching Forest of Michigan Technological University

Abstract We incorporated climate adaptation into a forest management plan for Michigan Technological University’s Ford Forest, a 2,000-ha property in Michigan’s Upper Peninsula used for education, research, and timber revenues. Our process was an opportunity to test the existing climate adaptation literature, pulling from multiple sources to meet the diverse needs of the institution at the time the plan was created. We present outcomes as well as lessons learned summarized in a series of broad takeaway messages. (1) Climate adaptation is a means to an end. The end must be defined and is made up of critical values and an adapted state. (2) Given the instability inherent in climate change, achieving adaptation means adjusting forest attributes in response to change but also preparing for unforeseen outcomes via adaptive management. (3) Decisions surrounding goals affect the entire process. Considering climate change–driven constraints when setting goals will improve outcomes. (4) Flawed decision-making is a risk associated with certain organizational contexts and affects the identification of goals, vulnerabilities, and adaptation options. (5) Climate adaptation actions cannot be evaluated in the short term for efficacy because climate change is ongoing. However, the appropriateness of a plan in responding to anticipated change can be evaluated. Study Implications: This work informs strategic planning for climate change adaptation in forests. We created a climate-informed forest management plan using adaptation frameworks for a university-owned forest in Upper Michigan at the confluence of the northern hardwoods and boreal forest ecotypes. We offer assessment of our plan outcomes and insights into how our decision-making context affected them. This case study expands on the ongoing scientific conversation, incorporating concepts from management science, on how best to adapt natural systems to climate change to protect human values derived from ecosystem services.

Drivers of adaptive capacity of rural women farmers: The role of climate action and information mediums in rural Ghana

AbstractGender‐differentiated roles, responsibilities, access, rights, and knowledge gaps shape women's vulnerability to climate change. This is especially critical for women farmers whose livelihoods are climate‐dependent. A key component in building women farmers’ resilience to climate change is deepening their adaptive capacity. Therefore, this research sought to measure the adaptive capacity of women farmers from two unique districts of Ghana using the sustainable livelihood capitals and investigate how access to climate information and the uptake of climate action can influence women's adaptive capacity. Rural women farmers (n = 497) were interviewed through a survey and supported with key informant interviews from six agricultural staff at the selected districts. The adaptive capacity of respondents was rated moderate at 0.405. Differences between the adaptive capacity of women from different agroecological zones (Dormaa East—0.422; East Gonja—0.388) were statistically insignificant (p > 0.05). All climate information mediums except the TV medium had a significant prediction on women farmers’ adaptive capacity. The odds of a decreasing relationship of predictor variables, such as extension officer medium, radio, and adaptation action, require strategic structuring to accrue holistic benefit. The study thus recommends deepening women's benefit from extension services by attracting and retaining female extensionists, while training extensionists on tailored techniques for engaging female farmers. Again, extensionists who report high outreach to female farmers should be incentivized. Traditional and modern Information and Communication Technology mediums must be explored and integrated as alternatives. Co‐benefit practices for both adaptation and mitigation should be encouraged among women farmers to deepen climate action.

Climate change policy instruments in agriculture sector: From policy to adaptation practice at local level in Nepal

The current study explores synergies between climate change policy instruments and agriculture sector, reviews identified gaps and understands the translation of policy instruments at local level in five sample municipalities of three ecological regions. Understanding the adaptation actions and knowledge on implementation practices at household level is as the objective of this study. It adopted qualitative research approach using both primary (KII, FGD and household survey) and secondary data (review of existing policy documents) based on qualitative document analysis, (QDA). The study found that, policy and programs formulation at national and sub-national level in different period, are designed within the same setting from national to local level but there is divergence in programs formulation and implementation methods. Capacity and understanding of policy instruments has resulted different policy output which implicate farmers’ response to implementation practices. It is found that municipal authorities are implementing climate friendly agriculture programs without explicitly declaring climate action. The farmers are practicing autonomous adaption in agriculture with limited understanding and technical knowledge of long term climate change effect on farming. This has resulted maladaptive practices, which has contested planned climate change adaptation plan and programs. It devaluates the effort and resources spent by national and international institutions on CC policy instrument formulation and implementation. The need of field based demonstrative understanding and awareness campaigns for smallholder farmers is anticipated. It concludes that, flexibility of policy instruments through regular improvements and modification aids context-specific localization provide custom solutions. The custom solution match the traditional and existing adaptation practices assuring ownership at ground level.

Supportive error feedback fosters students' adaptive reactions towards errors: Evidence from a targeted online intervention with Italian middle school students.

Although it is well established that students' adaptive reactions towards errors promote learning outcomes, little is still known about the role of error feedback in promoting these reactions. Through a targeted intervention based on an online teaching unit, this study aimed at testing whether supportive error feedback promotes more adaptive students' reactions towards errors and higher learning outcomes. A total of 250 (Mage = 12.18, SD = .89; 46.4% girls) Italian middle school students took part in the intervention. Students were randomly assigned to either a discouraging error feedback condition (n = 124) or a supportive error feedback condition (n = 126). The intervention consisted of an online teaching unit, which students filled in at home, that was divided into pre-test, intervention and post-test phases. During the intervention, students replied to training questions and every time they made an error, informative feedback appeared: supportive smileys and sentences in the supportive feedback condition, and disappointed smileys and sentences in the discouraging feedback condition. Before the intervention, students filled in the pre-test and after the intervention, students reported their reactions towards errors and filled in the post-test. Receiving supportive feedback resulted in more adaptive affective-motivational reactions towards errors, which in turn were related to more adaptive action reactions towards errors. Differently from our expectations, action reactions towards errors were not related to the post-test scores. Our findings can inform the development of online teaching units that promote an error-oriented approach.

A novel approach to work towards gender-responsive urban climate policy

In collaboration with women’s organizations in India, Indonesia, Mexico and South Africa, an approach for a novel gender assessment of urban climate policies was developed and tested. The Gender Assessment and Monitoring of Mitigation and Adaptation (GAMMA) methodology allows for an in-depth analysis of the institutional framework and the mitigation and adaptation policies of cities. Its application by the women’s organizations in 14 pilot cities led to policy recommendations on how to integrate gender equality into urban mitigation and adaptation actions. The results of a monitoring exercise show that the project has made a significant step forward in raising awareness of gender issues and gender-responsive action at the urban level. It provides civil society organizations working on climate justice with a tool to push local governments to work towards low-carbon, resilient, gender-just and inclusive cities. It can also be used by local governments for self-assessment.

Environmental Data, Modeling and Digital Simulation for the Evaluation of Climate Adaptation and Mitigation Strategies in the Urban Environment

The worsening effects of climate change in urban settings imply the application of effective measures for climate adaptation and mitigation actions on the building–open space system. It means the development of innovative climate-resilient design approaches through the elaboration of knowledge processes and methodological workflows supported by key enabling technologies (KETs). This paper presents the middle results of the research project PRIN (Progetti di Rilevante Interesse Nazionale) 2017 “TECH-START—key enabling TECHnologies and Smart environmenT in the Age of gReen economy. Convergent innovations in the open space/building system for climaTe mitigation”. The goal of this paper is to show a methodological workflow and an operational protocol for digital modeling and simulation for the evaluation of climate adaptation and mitigation strategies in urban settings, applied to the case of the former Centro Polifunzionale Marianella in the northern area of Naples. The results of the experimental application demonstrate the effectiveness of the meta-design proposals, with particular reference to the reduction of vulnerability to the heat wave phenomenon. The experimentation expresses the consistency of the methodological workflow. The results obtained demonstrate that the methodological approach based on KETs is effective in the evaluation of climate-resilient design actions through the definition of a set of indicators whose values return performance and characteristics of the design solutions.

Strategi Pengembangan Program Kampung Iklim di Desa Sidodadi Ramunia

The Climate Village Program is a national program with a target of establishing 20,000 climate villages spread throughout Indonesia as an effort to control climate change in Indonesia. Implementation of the climate village program still requires strategies to increase the capacity for adaptation, mitigation, institutional strengthening and the number of climate villages. This research aims to analyze Proklim development strategies and priority strategies for Proklim development in Sidodadi Ramunia Village, Beringin District, Deli Serdang Regency, North Sumatra Province. The method used is qualitative with a survey approach and using SWOT and AHP analysis. This research began by identifying adaptation and mitigation actions that had been carried out by residents in Sidodadi Ramunia Village and then a Focus Group Discussion (FGD) was carried out which resulted in 3 activity targets to be developed, namely (1) Increasing the use of organic fertilizer; (2) creation of a waste bank and (3) development of other locations to be proposed as climate villages. SWOT analysis is carried out to formulate alternative strategies for each activity target whose priority will be determined through AHP analysis using the expert choice 11 application. The results of the AHP analysis show that the strategic priority in developing climate villages is increasing the use of organic fertilizer with a weight value of 0.402 and an inconsistency value of 0. 05. This research shows that to increase the use of organic fertilizer, training and direct assistance in making quality organic fertilizer is needed which can ultimately trigger the community to sort organic and inorganic waste.

Microservice instances selection and load balancing in fog computing using deep reinforcement learning approach

Fog-native computing is an emerging paradigm that makes it possible to build flexible and scalable Internet of Things (IoT) applications using microservice architecture at the network edge. With this paradigm, IoT applications are decomposed into multiple fine-grained microservices, strategically deployed on various fog nodes to support a wide range of IoT scenarios, such as smart cities and smart farming. Nonetheless, the performance of these IoT applications is affected by their limited effectiveness in processing offloaded IoT requests originating from multiple IoT devices. Specifically, the requested IoT services are composed of multiple dependent microservice instances collectively referred to as a service plan (SP). Each SP comprises a series of tasks designed to be executed in a predefined order, with the objective of meeting heterogeneous Quality of Service (QoS) requirements (e.g., low service delays). Different from the cloud, selecting the appropriate service plan for each IoT request can be a challenging task in dynamic fog environments due to the dependency and decentralization of microservice instances, along with the instability of network conditions and service requests (i.e., change quickly over time). To deal with this challenge, we study the microservice instances selection problem for IoT applications deployed on fog platforms and propose a learning-based approach that employs Deep Reinforcement Learning (DRL) to compute the optimal service plans. The latter optimizes the delay of application requests while effectively balancing the load among microservice instances. In our selection process, we carefully address the plan-dependency to efficiently select valid service plans for every request by introducing two distinct approaches; an action masking approach and an adaptive action mapping approach. Additionally, we propose an improved experience replay to address delayed action effects and enhance our model training efficiency. A series of experiments were conducted to assess the performance of our Microservice Instances Selection Policy (MISP) approach. The results demonstrate that our model reduces the average failure rate by up to 65% and improves load balance by up to 45% on average when compared to the baseline algorithms.

Comparisons of donor stray percentages between hatchery‐ and natural‐origin Chinook Salmon and steelhead in the upper Columbia watershed

AbstractObjectiveArtificial propagation of Pacific salmon Oncorhynchus spp. is commonly used to achieve conservation and harvest goals. However, unintended effects of artificial propagation, such as high donor stray percentages, can reduce numbers of adults that return to target areas and also contribute spawners to different populations where they are undesirable. Until recently, it was difficult to assess if hatchery‐origin fish stray rates were atypical because few estimates of stray rates of natural‐origin fish were available. We sought to fill that gap by comparing donor stray percentages of hatchery‐ and natural‐origin Chinook Salmon O. tshawytscha and steelhead O. mykiss from the same locations.MethodsWe used 29,885 last passive integrated transponder tag detections of adult fish to estimate and compare donor stray percentages of hatchery‐origin and natural‐origin Chinook Salmon and steelhead in the upper Columbia River watershed between 2002 and 2018.ResultDonor stray percentages of hatchery‐origin spring, summer, and fall Chinook Salmon and steelhead were <0.3% at the upper Columbia basin scale and similar to natural‐origin donor stray percentages. Only steelhead donor stray percentages were higher for hatchery‐origin adults at the subbasin scale than natural‐origin counterparts and were <22% for all taxa. The percentage of hatchery‐origin steelhead and spring Chinook Salmon released in tributaries were detected at nontarget areas at higher percentages (<63%) than natural‐origin counterparts born in these tributaries. Returning hatchery‐origin and natural‐origin Chinook Salmon and steelhead generally strayed in an upstream direction in similar proportions. Juvenile spring Chinook Salmon that were moved 14–391 km from centralized hatcheries to tributaries for overwintering or final acclimation strayed at a much higher rate than those that completed their incubation, rearing, and acclimation at a single location, but this did not occur with steelhead. Other adaptive management actions that were implemented to reduce straying produced mixed results. A high proportion of stray hatchery‐origin spring Chinook Salmon initially homed to tributary weirs.ConclusionDonor stray percentages of hatchery‐origin Chinook Salmon and steelhead were generally not higher than natural‐origin donor stray percentages at larger spatial scales (e.g., upper Columbia basin and subbasin) but were higher at smaller spatial scales (e.g., tributaries). A variety of approaches can be considered to reduce undesirable production of strays, but most of them involve difficult management trade‐offs.

Climate change adaptation by smallholder farmers in Southern Africa: a bibliometric analysis and systematic review

Abstract Climate change adaptation research is currently a policy priority. For smallholder farmers, it provides opportunities for resilience building. The research area is growing rapidly and calls to synthesize existing data have been made. Existing work forms a basic picture of the trends in the research area. However, it is limited in scope and methodological approaches used. This work synthesizes climate change adaptation research on smallholder farmers in Southern Africa. It gives an overview of past and current directions of climate change adaptation research using a combination of bibliometric analysis techniques and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis. Results show a steady growth in research, a disproportionate distribution of research and weak research collaboration among Southern African countries. Diverse methodologies are in use but a combination of approaches is rare. Co-occurrence of keywords show recognizable strides in research ranging from adaptation to mitigation linkages to the influence of climate change impacts on adaptation and livelihood outcomes. Strengthened research collaboration between countries in Southern Africa should be advocated for. This would help develop viable, appropriate and localized adaptation solutions. Equitable allocation of funding is pertinent to ensure uniform research activity and adaptation action across the region. A combination of research approaches is needed to push forward adaptation research on smallholder farmers in Southern Africa.

CLIMATE PLANNING AND LOCAL GOVERNMENT: ACTORS AND CLIMATE CHANGE MEASURES

Urban development based on anthropogenic systems led to evident urban transformations on a global and local scale. Climate change is the product of these transformations, characterized by weather patterns and ecological systems alterations. These alterations cause impacts on urban dynamics, which generate severe social consequences. It becomes imperative to assume the inevitability of the climate phenomenon and adopt a new management model with adaptation and mitigation actions. The research addresses the climatic phenomenon in Ecuador, specifically in the urban area of Riobamba, emphasizing its planning instruments. The objective is to recognize the scope of local instruments and plans related to climate change and to identify actors involved through a map of actors according to their level of engagement and support for climate change action. The research contemplates a descriptive methodology with a qualitative approach using theoretical and argumentative techniques. The research considers documentary and fieldwork through methods such as documentary analysis, unstructured observation, in-depth interviews with strategic actors, case studies, and self-completed perception surveys of available subjects, corresponding to an exploratory and descriptive level. The results show that the local government did not consider initiatives aimed at climate planning and, despite programs and projects that seek to solve environmental problems, they need to be developed in detail or linked as measures against climate change.

Climate Risk Management in Cultural Heritage for Inclusive Adaptation Actions in Nigeria

Different regions around the world are experiencing climate risks, including increasing temperatures, rapid changes in rainfall patterns, loss of biodiversity and extreme weather events. Within the last decade, Nigeria has experienced a series of localised and regional drought and flooding events affecting not only arable farmlands but also cultural heritage, including heritage buildings and cultural landscapes. This study assesses climate-related risks affecting cultural heritage using the ABC risk assessment method to understand the impacts of key climate drivers. The assessment method was applied to five cultural heritage sites with different values and functions. The findings revealed that changes in precipitation and wind speed and direction induce most of the sudden-onset impacts, such as bushfires, flooding and physical collapse. A sense of community connection and attachment to the built heritage remain strong but there have been limited efforts to implement actions that address climate risks to the built heritage and its surrounding spaces. The output of the assessment contributes to risk prioritisation and informs decision making for developing the needed adaptive actions. The study demonstrates the need to leverage climate information collected by different national and international organisations not to only assess climate risks to heritage but also to improve the involvement of local communities and non-heritage professionals in developing adaptation actions for built heritage.