Adaptation Planning Process Research Articles

A flexible data‐driven approach to co‐producing drought vulnerability assessments

AbstractIntensifying weather events are key characteristics of climate change that are fundamentally changing ecological disturbance regimes. Intensifying drought is a particular threat to species, ecosystems, and ecosystem services worldwide. Proactive drought adaptation measures are acutely needed, but without a better understanding of drought vulnerability at the appropriate scale and geography, such measures may not be effective, or even anticipated as potential options. A recent conceptual framework for ecological drought aligns a holistic suite of potential drivers with the key components of climate change vulnerability (exposure, sensitivity, and adaptive capacity). We leverage the ecological drought framework and components of vulnerability to introduce a six‐step process for developing a drought vulnerability assessment (DVA) that (1) is place‐based and avoids mismatches between assessment geography and management action, (2) uses existing empirical datasets and leverages machine learning techniques and remotely sensed data from a recent drought, (3) emphasizes the inclusion of stakeholders and the importance of data visualization and science communication, and (4) is flexible and adaptable to a wide range of planning contexts. We illustrate the DVA process with a case study for forested watersheds in the Missouri Headwaters (MH), Montana, USA, that is focused on the impact of an early 2000s drought event on forest health. We show how the DVA provides insights on drought vulnerability that are helpful starting points for co‐developing region‐specific management actions to prepare for the next drought, including strategies to enhance ecologically available water, reduce competition for water, promote ecosystem persistence under drought conditions, and prioritize sites for forest restoration, transition, or protection. The work described here provides a model for developing a DVA in other places that, when used in a participatory adaptation planning process, supports the implementation of effective adaptation strategies.

Conserving biodiversity and managing water resources in the Akagera River catchment, Eastern Rwanda: local engagement and knowledge cocreation through the adaptive planning process

Conserving biodiversity and managing water resources in the Akagera River catchment, Eastern Rwanda: local engagement and knowledge cocreation through the adaptive planning process

Reconsidering National Adaptation Plans (NAPs) as a Policy Framework under the UNFCCC

ABSTRACT Under the UNFCCC, the National Adaptation Plan (NAP) plays a central role as a policy framework for adaptation. While significant efforts, including research, have been made on the NAP scheme (which includes NAP formulation as one component), a critical evaluation of the entire NAP scheme is lacking. This includes an analysis of the relationship between the NAP process and the NAPs, their nature and intended functions, the interlinkages and implications of various COP agreements and guidelines on the NAPs, and alignment with the concept of the adaptation planning process. This paper analyzes COP Decisions, relevant documents from constituted bodies, and efforts by relevant international organizations to better understand how the NAP scheme is constructed and operated in order to clarify its strengths and weaknesses. To get an idea of how countries understand the COP Decisions and other relevant guidance for formulating their NAPs, we also reviewed the NAPs of nine countries in the Asia-Pacific region (Bangladesh, Cambodia, Fiji, Kiribati, Nepal, PNG, Sri Lanka, Timor-Leste, and Tonga). As a result, we find critical issues in the international agreements and actions on the NAPs that may become obstacles to global, and eventually national, adaptation efforts and make specific policy recommendations to address these challenges. Key policy insights Neither the NAP process nor the NAPs themselves have been well defined by the COP. As a result, formulated NAPs have no more in common than a ‘plan on adaptation developed by the national government.’ It is vital for the COP to define the NAP process and the NAPs more clearly, including their roles and relations, and to ensure consistent support for developing countries’ adaptation efforts through the NAP scheme. The COP should define the NAP process as the adaptation planning process (AP process) and find the roles of the NAPs as the ‘grand design of the AP process’ to enhance the consistency and effectiveness of global efforts on adaptation.

Literature Review: Adaptive Planning Practices

Plans are prepared to provide direction, set goals, manage risks, and ensure timely and successful implementation to achieve desired outcomes. However, plans fail to deliver desired outcomes when an unexpected event occurs. The adaptive planning process is known for its ability to respond to an unexpected event with pre-emptive preparation. The adaptive planning approach seeks to minimise uncertainties and associated risks during each stage of the planning process by (re)assessing the feasibility of water supply needs and the effectiveness of planning decisions. The two most prevalent concepts in the integration of adaptiveness in planning processes are the dynamic adaptive policy planning and the adaptive planning cycle (Mobius loop) frameworks; these frameworks are used to address the uncertainties and associated risks at the planning stage. The Mobius loop, or infinity loop, is gaining momentum, as it clearly illustrates the iterative and continuous nature of adaptation to changing conditions. However, the data on the successful implementation of ‘adaptive’ planning practices are limited, and there is little knowledge about these practices. This study reviews the literature in this field and discusses the different interpretations of adaptiveness and its benefits and challenges while developing long-term strategic plans. The findings identify gaps for future research and recommend the way forward for policymakers to promote adaptive planning practices.

A machine learning approach to evaluate coastal risks related to extreme weather events in the Veneto region (Italy)

A significant and unprecedented increase of temperature has been recorded worldwide during the last decades, leading to the occurrence of numerous extreme events. Coastal areas, with their high population density, interconnected economic activities, fragile ecosystems, are particularly vulnerable to climate change impacts. These impacts can be intensified by the interactions of multiple hazards which operate at different spatio-temporal scales and affect exposure and vulnerability patterns. An integrated approach is here proposed to assess the relationship between risk factors and to evaluate the multiplicity of impacts that may affect the coastline. A new path to tackle these multi-risk events is offered by ML algorithms to effectively handle vast amounts of heterogenous data, and model complex non-linear relationships between multiple factors and feedback mechanisms. To assess impacts caused by extreme events (storm surges, extreme precipitation, wind events) in the Veneto coastal municipalities, a ML approach was developed to understand connections between atmospheric and marine hazards and impacts recorded by the Veneto region emergency archive during the 2009–2019 timeframe, identifying the most influencing factors triggering multiple risks. Additionally, the coastal municipalities were clustered considering the intrinsic relationships between impact occurrences, exposure and vulnerability features. Several algorithms were compared to estimate daily risk of impacts to occur providing hazards, exposure and vulnerability information. The MLP algorithm showed satisfactory performances (weighted-F1-score of 0.94) to estimate the relative importance of input features. The proposed algorithm was designed as support tool to increase the understanding of impacts’ occurrence in coastal areas, thus helping the adaptation planning process.

Partnering with Schools to Adapt a Team Science Intervention: Processes and Challenges

AbstractPublic schools are a major provider of mental health services for children in the US. Mental and behavioral health services range from universal programming to individualized clinical supports to address student needs. These services in schools are delivered by various professionals including non-teaching and teaching school personnel, school-employed clinicians, and/or contracted community mental health partners. Provision of mental health services requires complex coordination of providers across disciplines, although few professionals have training in multidisciplinary collaboration strategies. Attention to team processes, such as delineating team members' roles, improving communication, and identifying collaboration strategies, may impact the effectiveness of evidence-based mental health service provision in real world settings. One intervention, Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS), has been used in healthcare with positive outcomes and has been adapted to educational settings. The current paper describes the community-partnered subsequent adaptation of TeamSTEPPS for schools. Needs assessment interviews identified challenges, successes, and goals for student mental health. Overarching themes extracted from interviews include limited resources at multiple levels (e.g., financial support, time, and personnel), communication challenges, and poor role clarity. A community advisory board provided guidance during the adaptation and implementation planning process. Adaptations to the intervention included tailoring the intervention to the school context and the development of flexible training plans. In addition, individualized implementation plans were developed with each school partner to mitigate foreseeable barriers to rolling-out TeamSTEPPS. Our team is currently piloting the adapted TeamSTEPPS intervention and implementation strategies in partnership with three school districts.

Human rights in climate change adaptation policies: a systematic assessment

ABSTRACT Human rights have potential to enhance adaptation because they reflect internationally agreed upon standards of human dignity, aim to advance formal and substantive forms of equality, and can be used to hold public and private actors accountable for rights violations. We assess whether, how, and under what conditions national adaptation policies recognize human rights principles and standards. We analyze 217 adaptation policies from 147 countries to examine whether there is substantive recognition of the vulnerability and needs of equity-deserving groups that experience systemic marginalization and exclusion, and procedural inclusion of these groups in adaptation planning and decision-making. Results indicate that while under the Paris Agreement governments commit to respect human rights in their adaptation policies and actions, few countries are abiding by this commitment. Only one-third of countries refer to respect, promotion, or consideration of human rights within their adaptation policies. While most countries included here recognize specific conditions of different vulnerable groups in their policies, there is minimal evidence of their inclusion in the adaptation planning and decision-making process, and half of countries fail to identify specific measures that will be developed to reduce their vulnerability. None of the strategies that we reviewed pointed to the creation of accountability mechanisms for redressing harms that may arise due to adaptation actions. We also develop a series of regression models to examine whether hypothesized national predictors of adaptation action are associated with attention to human rights principles and standards. The models indicate that countries with greater wealth and equality are more likely to include attention to human rights norms in their adaptation strategies, but countries with less wealth, more inequality, and less political freedom appear to achieve a more substantive level of engagement with these norms in their strategies.

Dose Escalation for Pancreas SBRT: Potential and Limitations of using Daily Online Adaptive Radiation Therapy and an Iterative Isotoxicity Automated Planning Approach

To determine the dosimetric limitations of daily online adaptive pancreas stereotactic body radiation treatment by using an automated dose escalation approach. We collected 108 planning and daily computed tomography (CT) scans from 18 patients (18 patients×6 CT scans) who received 5-fraction pancreas stereotactic body radiation treatment at MD Anderson Cancer Center. Dose metrics from the original non-dose-escalated clinical plan (non-DE), the dose-escalated plan created on the original planning CT (DE-ORI), and the dose-escalated plan created on daily adaptive radiation therapy CT (DE-ART) were analyzed. We developed a dose-escalation planning algorithm within the radiation treatment planning system to automate the dose-escalation planning process for efficiency and consistency. In this algorithm, the prescription dose of the dose-escalation plan was escalated before violating any organ-at-risk (OAR) dose constraint. Dose metrics for 3 targets (gross target volume [GTV], tumor vessel interface [TVI], and dose-escalated planning target volume [DE-PTV]) and 9 OARs (duodenum, large bowel, small bowel, stomach, spinal cord, kidneys, liver, and skin) for the 3 plans were compared. Furthermore, we evaluated the effectiveness of the online adaptive dose-escalation planning process by quantifying the effect of the interfractional dose distribution variations among the DE-ART plans. The median D95% dose to the GTV/TVI/DE-PTV was 33.1/36.2/32.4 Gy, 48.5/50.9/40.4 Gy, and 53.7/58.2/44.8 Gy for non-DE, DE-ORI, and DE-ART, respectively. Most OAR dose constraints were not violated for the non-DE and DE-ART plans, while OAR constraints were violated for the majority of the DE-ORI patients due to interfractional motion and lack of adaptation. The maximum difference per fraction in D95%, due to interfractional motion, was 2.5 ± 2.7 Gy, 3.0 ± 2.9 Gy, and 2.0 ± 1.8 Gy for the TVI, GTV, and DE-PTV, respectively. Most patients require daily adaptation of the radiation planning process to maximally escalate delivered dose to the pancreatic tumor without exceeding OAR constraints. Using our automated approach, patients can receive higher target dose than standard of care without violating OAR constraints.

An innovative climate adaptation planning process: iDEAL project.

Climate change triggers increasing stresses on urban settlements and coastal areas. The intensification of climate-connected impacts requires municipalities and communities to undertake adaptation measures and plans. These interventions should be capable of reducing negative climatic effects on human habitat and regional bioregions. On the one hand, the international scientific community recognized the supported adaptation planning approach as the more suitable to cope with local needs and criticalities. On the other hand, there is a lack of practical guidelines and examples that can be used to implement the theory. From a perspective of growth of global awareness and sensitivity to the climatic emergency, it is necessary to develop a practical methodology able to link together impacts perception and public decision process at the local scale. The paper aims to fill the gap between the theoretical approach and the practice, through a replicable experience of integration among climate change adaptation concepts and decision-making processes. The proposed methodology is described in a 4-step process to support decision-makers in selecting tailored adaptation policies and measures. The article is based on the experience developed within the Interreg It-Hr project "iDEAL - Decision support for Adaptation pLan" project. The research combines a quantitative and qualitative methodology in local participation processes. The approach is tested on five Mediterranean coastal cities and allowed to support the development of tailored adaptation measures. Furthermore, the interaction with local actors during the process led to an acceptance of the implemented measures, designing each measure to stakeholders' ambitions and expectations.

A policy content analysis for evaluating urban adaptation justice in İstanbul

Climate change is disproportionately affecting vulnerable communities, increasing existing risks and leading to further global inequalities. Drawing on the concept of urban adaptation justice, we evaluated the inclusion of vulnerable communities in the climate change adaptation planning process of İstanbul, a European coastal megacity with considerable vulnerability to climate change. For this, a policy content analysis structured around four criteria: (i) participation, (ii) capacity enhancement, (iii) governance, and (iv) justice integration into spatial planning, was carried out and supplemented by local expert consultations. Our findings indicate that while the objective of incorporating some aspects of justice in adaptation planning was recognized, there was a distinct lack of specific actions or evaluation tools. The expert consultations largely confirmed these findings, which were then connected to the socio-historical and political context of İstanbul and the wider Turkish region. Key conclusions include the failure of current adaptation policies to adequately consider vulnerabilities arising from a combination of urban marginalization interacting with neoliberal authoritarianism. We identify the need for understanding and integrating equitable climate change adaptation as a key dimension of urban decision-making for future policy-relevant research and practice.

Robustness and reproducibility of an artificial intelligence-assisted online segmentation and adaptive planning process for online adaptive radiation therapy.

Clinical implementation of online adaptive radiation therapy requires initial and ongoing performance assessment of the underlying auto‐segmentation and adaptive planning algorithms, although a straightforward and efficient process for this in phantom is lacking. The purpose of this work was to investigate robustness and repeatability of the artificial intelligence‐assisted online segmentation and adaptive planning process on the Varian Ethos adaptive platform, and to develop an end‐to‐end test strategy for online adaptive radiation therapy. Five synthetic deformations were generated and applied to a computed tomography image of an anthropomorphic pelvis phantom, and reference treatment plans were generated from each of the resulting deformed images. The undeformed phantom was repeatedly imaged, and the online adaptive process was performed including auto‐segmentation, review and manual correction of contours, and adaptive plan creation. One adaptive fractions in five different deformation scenarios were performed. The manually corrected contours had a high degree of consistency (> 93% Dice similarity coefficient and < 1.0 mm mean surface distance) across repeated fractions, with no significant variation across the synthetic deformation instance except for bowel (p = 0.026, one‐way ANOVA). Adaptive treatment plans also resulted in highly consistent dose–volume values for targets and organs at risk. A straightforward and efficient process was developed and used to quantify a set of organ specific contouring and dosimetric action levels to help establish uncertainty bounds for an end‐to‐end test on the Varian Ethos system.

Quality assurance for on-table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine.

Online adaption of treatment plans on a magnetic resonance (MR)‐Linac enables the daily creation of new (adapted) treatment plans using current anatomical information of the patient as seen on MR images. Plan quality assurance (QA) relies on a secondary dose calculation (SDC) that is required because a pretreatment measurement is impossible during the adaptive workflow. However, failure mode and effect analysis of the adaptive planning process shows a large number of error sources, and not all of them are covered by SDC. As the complex multidisciplinary adaption process takes place under time pressure, additional software solutions for pretreatment per‐fraction QA need to be used. It is essential to double‐check SDC input to ensure a safe treatment delivery. Here, we present an automated treatment plan check tool for adaptive radiotherapy (APART) at a 0.35 T MR‐Linac. It is designed to complement the manufacturer‐provided adaptive QA tool comprising SDC. Checks performed by APART include contour analysis, electron density map examinations, and fluence modulation complexity controls. For nine of 362 adapted fractions (2.5%), irregularities regarding missing slices in target volumes and organs at risks as well as in margin expansion of target volumes have been found. This demonstrates that mistakes occur and can be detected by additional QA measures, especially contour analysis. Therefore, it is recommended to implement further QA tools additional to what the manufacturer provides to facilitate an informed decision about the quality of the treatment plan.

Verifying Plan QA for Online Adaptive Treatment in MR Linac

In addition to real-time tracking, a major advantage of the MR Linac is the ability to perform online plan adaptation in accordance with the patient anatomy of the day. This allows delivery of adequate tumor doses while ensuring surrounding organ at risk sparing. Treatment sites include pancreas prostate, lung and liver, among others. Typically, daily plan adaption leads to a change in monitor units (MU) from the original plan. This change can be over 100% at times. The vendor provides an online QA tool which is a secondary MU check. The purpose of this work is to evaluate the quality of plan QA in online adaptive IMRT treatments compared to physical, post-treatment measurements.We evaluated 32 online adapted plans (26 patients) which passed vendor-supplied secondary MU plan checks with a gamma criterion of 2mm/2%, and were treated clinically. We used both a diode array and an ion chamber for absolute dose measurement at isocenter. MU changes were evaluated in four groups: 0-25%, 26-50%, 51-75% and above 75% difference between adapted and original plans. Overall, MU changes ranged from 0%-102% between original and adapted fractions.The pass rates of the adapted plans were statistically significantly different from those of the original plans by up to 5% (2-tailed t-test). In 6 cases (19%) the relative dose passed and the absolute dose did not. In 4 cases (12%), the QA did not pass even using a 3mm/3% criteria. In 22 of 27 plans (82%) the ion chamber measurements were within 3% of the predicted dose. The other 5 plans had a larger than 3% difference between planned and measured dose at isocenter. In 5 plans the isocenter was too lateral to measure with an ion chamber.Our results show the vendor-supplied QA tool is in good correspondence with post treatment QA measurement. We did not find any correlation between the magnitude of MU changes between the original and adapted plans and the QA pass rates, which is reassuring given the large differences in some of the plans. Treatment site was not correlated to either the magnitude of MU changes or the QA passing rates. The vendor-supplied QA tool cannot be used when treating a patient with the original plan, and thus could not be assessed on these plans. As the optimization algorithm is identical in the treatment planning system and in the adaptive planning process in the treatment delivery computer, the underlying cause for the differences observed in passing rates is unclear. Overall, our results prove the reliability of the vendor-supplied MU secondary check as adequate real-time QA for confidently treating adapted plans.

Evaluating and reflecting on coproduction of protected area management plans

ABSTRACTProtected areas are complex social‐ecological systems, hence their management should be guided by engagement and co‐learning with diverse stakeholders. The challenge of effective stakeholder participation has generated a body of literature on the design and facilitation of coproduction processes. In this study, we used this literature to develop a principle‐based framework for assessing coproduction. We then applied this framework to evaluate how well “adaptive planning” (a sub‐process of adaptive management used for visioning and objective setting with stakeholders), as applied to the Garden Route National Park in South Africa, aligned with the ideals of coproduction. Our analysis revealed shortcomings in the adaptive planning process, which could be improved through broadening the agenda beyond the mandate and control of national parks, empowering collective agency among a wider stakeholder network, and embedding co‐learning with stakeholders as an ongoing journey. A significant finding was that adaptive management does not align well with the ideals of coproduction, which may be better supported by an adaptive co‐management approach. The latter is particularly necessary in complex national parks that are diverse in terms of both ecosystems and stakeholders, and where governance may be contested.

Creating a climate of change in the City of Johannesburg: Co-learning to adapt to climate change

Climate change is one of the multiple stressors facing African cities; these cities are responding by developing climate change action plans including adaptation and mitigation policies. Effectively mainstreaming climate change in city plans and operations and moving from ambition to implementation is complex. Multi-actor engagement, transdisciplinary knowledge interactions, co-designing and sustained co-learning are often required in such planning and action contexts. In this paper, we trace and reflect on the process of developing an adaptation planning process for the City of Johannesburg, South Africa. Given shortcomings of the previous adaptation responses attempted in the City, specifically that of poor uptake, we trialled a more intentional and directly designed, formative and interventionist approach using Cultural Historical Activity Theory (CHAT). We reflect on what we as a research team and City officials learnt in this process. Our findings emphasise that exploring the local context remains critical in understanding and surfacing tensions with potential climate change responses. Failure to be mindful of such issues will likely result in mere compliance, and potentially, maladaptation. Contrary to experiences in other South African settings, rather than attempting to engage all actors simultaneously, our experience suggests that working with a core group initially, before expanding the circle of actors, is needed. These actors serve as mediators and pivotal actors for learning and change, and, with appropriate authority and passion, can drive, coalesce, and potentially re-enthuse waning interest from within. They leverage already existing trust relationships and strengthen participation throughout the process. Combined, these factors are critical for ensuring implementation and legacy.Significance: Careful attention to a co-designed and emergent ‘Theory of Change’ can help both the process and design of engaged climate change research and help to reframe the climate action needed in urban contexts. The collaborative processes we applied increased awareness and engagement between officials around issues of climate change and, in particular, climate change adaptation. The lessons and opportunities gathered in the miniature expansive learning journey we trialled may be useful for others trying to embark on climate change adaptation journeys in cities in Africa and beyond.

Understanding institutional barriers in the climate change adaptation planning process of the city of Beirut: vicious cycles and opportunities

Cities around the world are confronted with the need to put in place climate adaptation policies to protect citizens and properties from climate change impacts. This article applies components of the framework developed by Moser and Ekström (2010) onto empirical qualitative data to diagnose institutional barriers to climate change adaptation in the Municipality of Beirut, Lebanon. Our approach reveals the presence of two vicious cycles influencing each other. In the first cycle, the root cause barrier is major political interference generating competing priorities and poor individual interest in climate change. A second vicious cycle is derived from feedbacks caused by the first and leading to the absence of a dedicated department where sector specific climate risk information is gathered and shared with other departments, limited knowledge and scientific understanding, as well as a distorted framing or vision, where climate change is considered unrelated to other issues and is to be dealt with at higher levels of government. The article also highlights the need to analyze interlinkages between barriers in order to suggest how to overcome them. The most common way to overcome barriers according to interviewees is through national and international support followed by the creation of a data bank. These opportunities could be explored by national and international policy-makers to break the deadlock in Beirut.

Stakeholder engagement and institutional context features of the ecosystem-based approaches in urban adaptation planning in the Czech Republic

Climate change adaptation planning is of high urgency in cities due to expected climate change impacts. Ecosystem-based approaches to adaptation (EbAs) are considered highly efficient in enhancing sustainable resilience of cities; however, incorporation of EbA measures into the decision-making process has not been fully achieved at the individual city level.The study illustrates how to initiate strategical adaptation planning “from the scratch” and facilitate the implementation of an adaptation planning process based on examples of three pilot cities in the Czech Republic (Prague, Pilsen, and Brno), using the outputs and experiences gained from participatory workshops and gathered stakeholder and institutional evidence. We focus particularly on stakeholder’s perception of climate change-related risks as well as prioritization of specific EbA measures and the institutional context of the decision-making processes concerning implementation of those measures in order to enhance adaptation planning.The results show that the prioritization and suitability of individual EbA measures substantially varies among the analysed cities, depending on the local setting and associated climate-related risks. While low awareness of the problem and the non-existence of the institutional framework can be severe barriers to EbA measures implementation, strong cooperation between the city, NGOs and academics creates a supportive environment for such innovative solutions. We aim to provide Central and Eastern European context of urban EbA adaptation planning using participatory approaches, stakeholder perception and institutional analysis, which is currently not much covered from the regional perspective.

Impact of climate change adaptation strategies on rice productivity in South-west, Nigeria: An endogeneity corrected stochastic frontier model

The study assessed the impact of climate change adaptation strategies on technical efficiency of smallholder rice farmers in South-west Nigeria. An endogeneity corrected stochastic frontier model which account for the endogeneity of adoption of adaptation strategies that is likely to depend on inefficiency was employed for the study. The result of the study revealed that adoption of adaption strategies is endogenously determined with rice productivity and hence, failure to account for endogeneity, the parameter efficiency estimates would be inconsistent. The empirical results from the model show that quantity of labour, herbicides and the interaction of labour with both farm size and insecticides were statistically significant in explaining the variations in the efficiency of rice production in the study area. In addition, the study identified the combined effects of climate change adaptation strategies and some socioeconomic characteristics such as age, gender, education, farming experience, access to credit, access to information, membership of farmers in agricultural based cooperative and location of rice farmers as sources of technical inefficiencies. The study concluded that increase implementation of climate change adaptation strategies could enhance rice productivity and technical efficiency of rice farmers through timely access to climate change information and other related institutional support. Based on farmers' knowledge and understanding of changes in climatic conditions and the adaptation strategies to mitigate its effect, it is therefore important for the government, stakeholders and donor agencies to involve farmers in the climate change adaptation planning process.

Community-based adaptation to climate change in villages of Western Province, Solomon Islands

People, local cultures and the environments they live in are complex and dynamic social-ecological systems that have evolved together over time and are continually affected by a myriad of factors, including climate and global changes. Escalating climate and global changes present an imminent threat to Pacific communities, particularly for food security, livelihoods, health and safety, cultural identity and biodiversity conservation. A participatory community-based climate change adaptation planning process was used to engage with communities on Rendova Island in Western Province, Solomon Islands to identify local adaptation priorities. The methodology recognized that local community members are the managers of the resources they use daily, have direct knowledge of the status of key local resources and have direct influence over ongoing resource governance. The study focused on two objectives: (1) identifying community priorities and documenting them in adaptation plans intended for local implementation, and (2) evaluating whether community adaptation priorities addressed key vulnerabilities identified independently using a semi-quantitative vulnerability assessment.The adaptation priorities identified by the communities encompassed: governance, leadership and planning; farming and livestock; sustainable livelihoods; natural resource management; and youth capacity building. The community adaptation priorities were found to address the key climate change vulnerabilities identified in the semi-quantitative assessment and also addressed additional drivers of social vulnerability and adaptive capacity. This finding reiterates the importance of fully inclusive and participatory vulnerability assessments and community-identification of adaptation priorities coupled with scientific climate projections to comprehensively assess the complexity of social-ecological systems. The climate change adaptation priorities have informed ongoing local actions and are intended to be used by communities, government and NGOs to focus local effort, funding and project development. A review of the suitability of the adaptation priorities by similar villages on neighbouring islands would determine the utility of scaling-up and applying these adaptations to other rural communities in the Solomon Islands, and possibly more widely in other Pacific communities.

Mapping Heat Stress Vulnerability and Risk Assessment at the Neighborhood Scale to Drive Urban Adaptation Planning

Climate change is one of the most complex issues of the 21st century, and even though there is general consensus about the urgency of taking action at the city level, the planning and implementation of adaptation measures is advancing slowly. The lack of data and information to support the planning process is often mentioned as a factor hampering the adaptation processes in cities. In this paper, we developed and tested a methodology for heat stress vulnerability and risk assessment at the neighborhood scale to support designers, planners, and decision makers in developing and implementing adaptation strategies and measures at the local level. The methodology combines high-resolution spatial information and crowdsourcing geospatial data to develop sensitivity, adaptive capacity, vulnerability, exposure, and risk indicators. The methodology is then tested on the urban fabric of the city of Padova, Italy. Our results show that different vulnerability and risk values correspond to different typologies of urban areas. Furthermore, the possibility of combining high-resolution information provided by the indicators and land use categories is of great importance to support the adaptation planning process. We also argue that the methodology is flexible enough to be applied in different contexts.