Climate Change Vulnerability Assessment Research Articles

Assessing climate change vulnerability of coastal roads

Climate change is a global phenomenon, which affects in several ways different regions all around the world, beyond the rise in global temperature. Among the different climate change issues, the management of transport infrastructures is crucial. Particularly, their vulnerability against changes in climatic conditions should be assessed. Vulnerability indicators are based on the IPCC concept of vulnerability and can be defined as a function of Climate Exposure, Sensitivity, and Adaptive Capacity. These dimensions need to be addressed during the assessment making and can be modelled as a Multiple Criteria Decision Analysis (MCDA) problem. This study proposes an integrated approach of several MCDA methods as a possible tool for ranking the climate change vulnerability of coastal roads in Malta. The application covers six coastal roads in the islands of Malta, classified by three different MCDA methods. The results indicate that the proposed approach can produce a consistent ranking of the climate change vulnerability of coastal roads. The study provides policy and decision-makers with a definition of a coastal road, an inventory of such roads, a list of climate change impacts, and a mathematical model incorporating climate change vulnerability indicators. The model can be used to prioritize investment and plan climate change adaptation strategies for infrastructural works on coastal roads.

Heatwaves are detrimental to fertility in the viviparous tsetse fly.

Heatwaves are increasing in frequency and intensity due to climate change, pushing animals beyond physiological limits. While most studies focus on survival limits, sublethal effects on fertility tend to occur below lethal thresholds, and consequently can be as important for population viability. Typically, male fertility is more heat-sensitive than female fertility, yet direct comparisons are limited. Here, we measured the effect of experimental heatwaves on tsetse flies, Glossina pallidipes, disease vectors and unusual live-bearing insects of sub-Saharan Africa. We exposed males or females to a 3-day heatwave peaking at 36, 38 or 40°C for 2 h, and a 25°C control, monitoring mortality and reproduction over six weeks. For a heatwave peaking at 40°C, mortality was 100%, while a 38°C peak resulted in only 8% acute mortality. Females exposed to the 38°C heatwave experienced a one-week delay in producing offspring, whereas no such delay occurred in males. Over six weeks, heatwaves resulted in equivalent fertility loss in both sexes. Combined with mortality, this lead to a 10% population decline over six weeks compared to the control. Furthermore, parental heatwave exposure gave rise to a female-biased offspring sex ratio. Ultimately, thermal limits of both survival and fertility should be considered when assessing climate change vulnerability.

Spatially Explicit climate change vulnerability assessment of ecological systems along altitudinal gradients in the Indian Himalayan region

Spatial ecological vulnerability assessments are important for devising management plans for ecological systems to maintain the flow of ecosystem services, especially in the mountains. Himalayan mountains, being a fragile ecosystem, have considerable ecological value, however, information on ecological vulnerability is lacking. The present evaluation attempts to prioritize ecosensitive zones by assessing the altitudinal ecological vulnerability of Garhwal Himalaya, India by devising a framework using a mix of bio-physical parameters. Eight bio-physical parameters, viz., Land Use and Land Cover (LULC), slope, aspect, landscape fragmentation, temperature, precipitation, soil moisture, and Normalized Difference Vegetation Index (NDVI)) were identified and considered to assess vulnerability. Spatial Principal Component Analysis (SPCA) results in five Principal Components (PCs), which were integrated and weighted for the calculation of the Ecological Vulnerability Index (EVI). The analysis results differential vulnerability across the altitudes with above 2000m altitude showed severe vulnerability and classified as potential vulnerability (36.25 %), slight vulnerability (35.25 %), medium vulnerability (20.25 %), high vulnerability (8.25 %) and severe vulnerability (0.25 %). The vulnerable regions were prioritized based on their ecological vulnerability as per the classes viz., region of strict protection (24.70 %), region of focal protection (60.41%) and region of composite development (14.89 %). The study suggetsed priority conservation and management actions for addressing the vulnerable areas for sustainable development of the region. The study provides valuable insights of vulnerability and associated protection measures leading to devising the most suitable management strategies for the sustainability of the ecological systems.

A feasibility study for the application of climate change vulnerability assessments on species in the Tallurutiup Imanga National Marine Conservation Area

Abstract Climate change is disproportionately affecting Arctic ecosystems and their resident species, but knowledge gaps complicate conservation planning. A proof‐of‐concept application of existing trait‐based vulnerability assessment frameworks were applied to nine species from three different taxa (cetaceans, pinnipeds, marine fish) to determine their vulnerability under the RCP 8.5 emissions scenario. A literature review and data gap analysis were performed to quantify vulnerability and recommend future research priorities. Each assessed species was found to be highly vulnerable to climate change, with char, cod, and walrus being the most vulnerable. The largest data gaps include outdated or missing abundance measurements mortality rates in both marine mammals and fish, and reproductive behaviours for fish specifically. Future assessments should consider multiple emissions scenarios that match the ranges of migratory species not confined to the TINMCA. Providing a method to preliminarily evaluate climate change vulnerability may help mitigate issues brought by limited species experts, such as respondent fatigue. More refined scores will require the assistance of species experts, including biologists and Indigenous knowledge holders.

Proposed Methodology for Climate Change Adaptation of Water Infrastructures in the Mediterranean Region

Water Infrastructure (WI) is one of the most important sectors of Critical Infrastructure (CI); it encompasses drinking water, wastewater, and stormwater. The WI is vulnerable to the effects of Climate Change (CC) that can disrupt its functionality; thus, it needs to be adapted to CC, especially in the Mediterranean region, where these effects are expected to intensify during the twenty-first century. For this adaptation a Climate Risk and Vulnerability Assessment (CRVA) is required in the development of WI to identify the important climate hazards and to recommend the required measures for the adaptation of the WI to these hazards. In the present work, a CRVA methodology is developed and presented based on a literature survey and the relevant European Commission guidelines; it is structured around five key steps: (1) Description of the WI, (2) Climate change assessment, (3) Vulnerability assessment, (4) Risk assessment, and (5) Assessment of adaptation measures. The application of the methodology is illustrated indicatively to a wastewater system in Greece for which preliminary estimations are performed, results are discussed, and conclusions are drawn. The proposed methodology can be modified for application to other sectors of CI; moreover, is a valuable resource in academic curricula and ongoing research initiatives.

A habitat‐centered framework for wildlife climate change vulnerability assessments: Application to Gunnison sage‐grouse

AbstractThe persistence of threatened wildlife species depends on successful conservation and restoration of habitats, but climate change and other stressors make these tasks increasingly challenging. Applying climate change vulnerability analyses to contemporary wildlife management can be difficult because most analyses predict direct effects of future climate on wildlife species at broad geographic scales, rather than assessing their habitats at local scales (<1 km) that correspond to site‐specific habitat management actions. We present a framework that synthesizes vegetation‐focused vulnerability assessments to assess multiple effects on wildlife species' diverse habitat needs, providing a scenario‐driven climate vulnerability assessment that maps differences in vulnerability of populations within a species' range. Our flexible habitat‐centered synthesis approach leverages available spatial datasets describing projected exposure to vegetation changes due to climate change and other potentially synergistic stressors, reclassifies and weights them based on available estimates of species' sensitivity to these changes, and recombines them to create <1‐km resolution maps of overall species vulnerability and threat‐specific habitat vulnerability. To demonstrate its potential to guide decision‐making, we applied this approach to the Gunnison sage‐grouse (Centrocercus minimus), a federally threatened habitat specialist that depends on sagebrush and mesic habitats that are imperiled by climate change. We mapped six threats forecasted out to the year 2070: direct effects of climate on (1) sagebrush cover loss and (2) mesic habitat drying, indirect changes in invasion risk from (3) pinyon–juniper conifers and (4) annual grasses, and potentially synergistic risk of (5) development and (6) wildfire. We then assessed species vulnerability for each of the eight extant populations under three climate scenarios: Optimistic, Continuation, and Pessimistic. We found that the extent of cumulative species vulnerability due to multiple habitat changes was far greater than the extent of any single habitat vulnerability. Over 75% of critical habitats were at risk under the Pessimistic scenario, and nearly two thirds of habitats were at high risk for three or more threats. Invasive species were the most widespread threat, highlighting the importance of indirect effects of climate change. We illustrate how our approach can be applied to the existing management planning strategies to better prioritize conservation of habitats for the persistence of threatened species.

Assessing the Vulnerability of Endemic Colombian Amphibian Species to Climate Change in an Isolated Montane Ecosystem

Background and Research Aims Climate change, habitat loss, and fragmentation are the major threats to biodiversity. Montane amphibians are particularly sensitive to these threats. We address the vulnerability of the amphibian community in Colombia using a Climate Change Vulnerability Assessment (CCVA) and prioritize amphibian species at risk of extinction and in need of conservation actions. Methods We completed two independent spatial analyses to assess species vulnerability in the Sierra Nevada de Santa Marta (SNSM), Colombia. First, we calculated the Area of Habitat and the percent of the Area of Habitat under protected area coverage for 19 species. We then examined the breadth of climatic space occupied by 16 species and how this space is predicted to shift under climate scenarios (RCP scenarios 4.5 and 8.5) for 12 General Circulation Models for 2050. We combined these two analyses with trait data related to adaptive capacity, obtained from previous research, to create a combined (correlative-trait) CCVA. Results Our analysis reveals a large reduction in available climatic space under both RCP scenarios by 2050. Our CCVA identified eight high priority species, including three Atelopus species and five within the Serranobatrachus/Tachiramantis complex, with extreme reductions in available climate space under RCP 8.5. The SNSM endemic and range restricted species are at elevated risk of extinction under climate change scenarios, with many moving into a high-risk category of extinction under the RCP 8.5. Given its isolation, the endemic species of the Sierra Nevada de Santa Marta (SNSM) are threatened by changing climates. Implications for Conservation The information provided in this manuscript used a vulnerability assessment to develop regional strategies for climate change adaptation and conservation. When possible, climate vulnerability must be incorporated into future adaptation and priority planning for the conservation of endemic, threatened montane amphibians, preferably via local management plans.

A co-produced national climate change risk and vulnerability assessment framework for South Africa

IntroductionThere are mounting demands to undertake climate risk and vulnerability (CRV) assessments for policy, planning, funding, insurance, and compliance reasons. In Africa, given the adaptation imperative, this is particularly important. Increasingly, it has become clear that sub-national assessments are needed to inform adaptation practice. However, there has been relatively little guidance on how to undertake these more local assessments and aggregate them making it difficult for national governments to know the extent and variability of climate vulnerability and risk across the country.MethodsIn South Africa, the national government, led by the Department of Forestry, Fisheries and the Environment (DFFE), undertook to establish a common framework to guide the development and review of CRV assessments. This paper presents the framework that was co-developed through a series of engagements with stakeholders active in implementing and supporting CRV assessments.ResultsThe framework is intended to provide guidance on what to consider when undertaking CRV assessments within diverse South African contexts in order to enable alignment, comparison, and aggregation between them and work towards an effective climate adaptation response across scales. Rather than standardizing a methodology, the framework promotes the use of a standard set of concepts as the basis for each assessment and profiles a diversity of methods, tools and data sources for applying the concepts in a contextually sensitive way. This provides a flexible yet structured sequence of three interlinked steps in a risk and vulnerability assessment process, namely: (1) Planning, (2) Scoping and (3) Assessing. The framework guides users through the choice and application of three assessment depths, depending on decision-context, resourcing and extent of pre-existing data and information. It encourages the integration of participatory and indicator-based methods through an impact chain approach, profiling more than 30 freely available tools and resources. This process builds a strong evidence base and a deepening set of engagements and shared understanding between relevant stakeholders, upon which to act.DiscussionThis South African process can provide insight and support for actors driving the climate agenda in other countries looking to develop comparable assessments as the basis to drive equitable and transformative climate action and learning.

Climate Change Perception and Vulnerability Assessment of the Farming Communities in the Southwest Parts of Ethiopia

This study assesses the perceptions and vulnerability of the farming communities to climate change in the southwestern parts of Ethiopia. Climate change vulnerability assessment is a prerequisite to designing climate change adaptation strategies. A multistage cluster sampling technique was used to select four of the six zones from the southwestern parts of Oromia. Close-ended and open-ended questionnaires were used to assess household perceptions of climate change and the degree of vulnerability to climate change by using five household capitals: natural, social, financial, physical, and human capital. Data were collected from 442 households in 4 districts: Jimma Arjo, Bako Tibe, Chewaka, and Sekoru. The vulnerability of the farming communities was assessed using the households’ livelihood vulnerability index. A total of forty indicators from five capitals were applied to calculate household livelihood vulnerability to climate change. Household perceptions of climate change had a statistically significant relationship with changes in rainfall pattern (75.6%, p < 0.001), temperature pattern (69.7%, p < 0.001), drought (41.6%, p = 0.016), flood (44.1%, p = 0.000), and occurrence of early (53.2%, p < 0.001) and late rain (55.9%, p < 0.001). The results show that households in the Sekoru district were the most vulnerable (0.61), while households in the Jimma Arjo district were less vulnerable (0.47) to the effect of climate change. Household vulnerability to climate change is mainly related to the occurrence of drought, lack of much-needed infrastructure facilities, and weak institutional support. Links with financial organizations are also lacking in the household. The findings of this study will help policymakers to address the impact of climate change. To support disaster risk management on the one hand and increase the resilience of vulnerable societies to climate change on the other, we recommend a detailed assessment of the remaining districts of the region.

Revising vulnerability assessments of montane birds in the colombian páramo to account for threats from climate change

Tropical montane ecosystems are highly vulnerable to global climate change, but their species-level conservation vulnerability assessments generally do not incorporate climate threats. The Colombian páramo is a highly diverse montane ecosystem but it contains relatively few species currently identified as threatened on the IUCN Red List. We explore whether current assessments need revising to account for climate change threats for páramo species. We use a climate change vulnerability assessment framework to evaluate the risks and opportunities from climate change for 60 bird species within the Colombian páramo. We explore two potential climate change scenarios (RCP 2.6 and RCP 8.5), representing best and worst-case projections. We find that more than half (52–68%, depending on the scenario) of bird species will be threatened by climate change by the end of the century, but a very poor agreement between the current conservation status of species and their climate vulnerability score. We find ~ 90% of species identified as climate-threatened are not currently identified as being of conservation concern, representing a substantial new suite of priority species within the Colombian páramo. Overall, we identify up to 34 páramo bird species that are threatened by climate change but not currently listed as being of conservation concern. Similar mismatches may also occur in other montane taxa and so updating species risk assessments to account for climate change is urgently needed. Implementation of appropriate conservation actions is also needed to reduce species’ risks from climate change.

Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach

Jeju Island faces curtailment problems when renewable energy generation exceeds the facility capacity. In addition, the renewable energy system cannot achieve consistent operation because of the uncertainty of renewable energy sources (RES) and their complex spatiotemporal patterns. Climate change and extreme meteorological phenomena also affect the energy system of the island. Therefore, it is essential to maximize RES exploitation to accomplish carbon-free energy production. This study developed a rolling horizon optimization–based flexible renewable energy distribution planning (FxRE-Plan) based on an artificial intelligence-driven spatiotemporal RES prediction model. An adaptive graph convolutional recurrent network (AGCRN) was used to develop a spatiotemporal prediction model. Then, FxRE-Plan was determined using a multiobjective genetic algorithm to maximize the RES potential under climate change scenarios. The FxRE-Plan was evaluated and compared with the current operation of the electric grid in Jeju Island through economic, environmental cost, and climate change vulnerability assessment index. The results of this research show that the AGCRN–based spatiotemporal prediction model exhibited superior prediction performance, achieving a 95% R2. In addition, the FxRE-Plan reduced greenhouse gas emissions by approximately 11.5% at maximum and climate change vulnerability. Hence, the proposed FxRE-Plan can be used to solve curtailments in real electric grids by pursuing carbon-free islands.

Climate Change Vulnerability Assessment and Adaptation: A Comparative Analysis of Reports Produced for Local Governments in South Africa and South East Queensland, Australia

Climate change is dominating social, political and economic agendas. Because of the salience of the issue, scientists, researchers and consultants have developed a plethora of climate adaptation strategies. In this article I analyse two such strategies: Adapting South African Cities and Towns: A Local Government Guide to Climate Change Adaptation Planning by Ziervogel and Methner; and Climate Change Vulnerability in South East Queensland: A Spatial and Sectoral Assessment by Choy et al. For this analysis I utilised the PULSE3 analytical framework. My analysis indicated that the two adaptation strategies were predominantly positivist in scientific orientation. Other paradigms and theories are also applicable in explaining the issue of climate change and how to adapt to it.

Climate Change Adaptation Zones for Terrestrial Ecosystems—A Demonstration with Pinyon-Juniper Woodlands in the USA

Decision support tools are needed to ensure that appropriately timed and place-based adaptation is deployed in natural resource policy, planning, and management. Driven by accelerating climate change, analytical frameworks for adaptation are emerging to assist with these decisions. There is a natural relationship between climate change vulnerability assessments and adaptation responses, where low to high relative climate change vulnerability suggests “resistance” to “transformation” strategies for adaptation. The NatureServe Habitat Climate Change Vulnerability Index (HCCVI) embodies a process for ecosystem assessment that integrates both climate and non-climate data and knowledge to document the relative vulnerability of a given habitat or ecosystem type. The framework addresses climate exposure and ecosystem resilience. Since most measures of exposure and resilience are mapped, they can be utilized to create map zones that suggest climate-smart adaptation. We applied the HCCVI to a cross-section of 10 pinyon pine and juniper woodland ecosystem types in western North America. We then demonstrate the application of these outputs to adaptation zonation. Climate exposure defines relative adaptation strategies, while measures of resilience suggest specific priorities for habitat restoration and maintenance. By the mid-21st century, 3% and 23% of the combined area of these types in the United States was categorized as Directed Transformation or Autonomous Transformation, respectively. In just 10% of the combined areas for these types, Passive Resistance strategies are suggested.

Vulnerability assessment of Korean fisheries to climate change

Climate change is expected to cause changes in marine biota and ecosystems, thereby directly affecting fishery production. To establish policies to respond to climate change, the importance of climate change vulnerability assessments is growing. In South Korea, annual fishery production has decreased since 1986, and climate change has caused changes in compositions of species and the ecological structure. Therefore, we assessed the vulnerability to climate change for 36 species with sensitivity and exposure. Based on this result, the vulnerability of 24 fisheries to climate change was evaluated. In this study, as exposure factors, we considered relationships between future seawater temperatures and spawning/habitat temperature of each species. Species with high scores both in sensitivity attributes and climate exposure factors are evaluated as highly vulnerable species and fisheries with high catch ratios of such species are assessed to be relatively more vulnerable. Hence, it is required to prioritize fisheries with high catch ratios of relatively vulnerable species when establishing policies to manage offshore and coastal fisheries in Korea.

Climate Change Vulnerability Assessment of the Eel Fishery in Aparri, Cagayan, Philippines

The global glass eel population is continuously declining over the years. Apart from the anthropogenic factors, the global production decline suggests that the changing climatic condition may have influenced its downtrend. This study assessed the climate change vulnerability of the eel fishery in Aparri, Cagayan, being one of the major collection areas in the Philippines. Vulnerability assessment (VA) was conducted using the Fisheries Vulnerability Assessment Tool (FishVool) through focus group discussion (FGD) with 25 participants and key informant interview (KII) with 50 respondents whose experiences are up to 10 years. Results showed that the overall climate change vulnerability of the eel fishery in Aparri, Cagayan, Philippines is high due to high exposure (4.76) to extreme weather events but medium in sensitivity (3.35) and adaptive capacity (3.2). The results of this study provided valuable information to government fisheries planners, policymakers, and other fisheries stakeholders in developing policies and management plans that will reduce vulnerability and build climate-resilient eel fishery.

Climate Change Vulnerability Assessment and Ecological Characteristics Study of Abies nephrolepis in South Korea

Abies nephrolepis is a climate-vulnerable species that inhabits high mountains in the Baekdu–Daegan range and is distributed along the southern limit line in South Korea, making it suitable for climate change research. This study aimed to observe spatial distribution changes according to scenarios using species distribution models for Abies nephrolepis, analyze the relationship between various environmental factors and Abies nephrolepis density, and contribute to the future conservation and management of subalpine coniferous forests. We conducted a field survey to identify the growth environment of Abies nephrolepis and observed potentially suitable habitats for Abies nephrolepis based on location information obtained through the survey. We also analyzed the relationship between the density of Abies nephrolepis and various environmental factors using multiple linear regression models. Based on the field survey results, most Abies nephrolepis natural habitats in South Korea showed an unstable form. Vulnerability analysis examining the influence of climate change showed that most of these habitats would be affected. We found that various biological factors were significantly related to the density of Abies nephrolepis (diameter at breast height, DBH ≥ 6 cm) and young tree density (stems/ha). We confirmed that species diversity and rock exposure variables had a relatively high impact. Clarifying the relationship between the density of Abies nephrolepis and various environmental factors can provide new insights for setting future restoration directions.

Random Forest models to estimate bankfull and low flow channel widths and depths across the conterminous United States.

Channel dimensions (width and depth) at varying flows influence a host of instream ecological processes, as well as habitat and biotic features; they are a major consideration in stream habitat restoration and instream flow assessments. Models of widths and depths are often used to assess climate change vulnerability, develop endangered species recovery plans, and model water quality. However, development and application of such models require specific skillsets and resources. To facilitate acquisition of such estimates, we created a dataset of modeled channel dimensions for perennial stream segments across the conterminous U.S. We used random forest models to predict wetted width, thalweg depth, bankfull width, and bankfull depth from several thousand field measurements of the National Rivers and Streams Assessment. Observed channel widths varied from <5 m to >2000 m and depths varied from <2 m to >125 m. Metrics of watershed area, runoff, slope, land use, and more were used as model predictors. The models had high pseudo R-squared values (0.70 to 0.91) and median absolute errors within ±6% to ±21% of the interquartile range of measured values across ten stream orders. Predicted channel dimensions can be joined to 1.1 million stream segments of the 1:100K resolution National Hydrography Dataset Plus (version 2.1). These predictions, combined with a rapidly growing body of nationally available data, will further enhance our ability to study and protect aquatic resources.

The livelihood vulnerability and adaptive capacity of shrimp farmers to climate change: a case study in Tra Vinh province, Vietnam

This study calculated the vulnerability and current adaptive capacity of shrimp farmers to climate change in two districts (Duyen Hai –DH and Cau Ngang- CN) of Tra Vinh province, Vietnam. The IPCC framework of vulnerability assessment was employed to analyze three factors (exposure, sensitivity, and adaptive capacity). We proposed 45 indices to calculate those dimensions based on the livelihood capitals (human, physical, natural, social and financial capital). Three methods of assessing climate change vulnerability index were applied to compare the livelihood vulnerability index of shrimp farmers in the two districts (Climate Vulnerability Index – CVI, Livelihood Effect Index-LEI, and Livelihood Vulnerability index under Intergovernmental Panel on Climate Change –LVI-IPCC). Total of 300 households were interviewed in 10 randomly selected villages distributed equally over two districts. The results indicated that three ways of measuring livelihood vulnerability index are consistent with each other. The analysis revealed that the inland district (CN) was more vulnerable to climate change than the coastal districts (DH) due to natural capital and social capital mainly.

Climate Change Vulnerability Assessment Using GIS and Fuzzy AHP on an Indicator-Based Approach

This study aims at integrating GIS method and fuzzy AHP to evaluate the impact of climate change under the vulnerability concept. The results of this empirical study in Da Nang city have significant scientific contribution to the generation of comprehensive indicators for assessing the vulnerability in coastal cities in Central region of Vietnam. The approach of the Intergovernmental Panel on Climate Change (IPCC) in climate change vulnerability assessment has been examined considering three main components of vulnerability which are exposure to hazards, local sensitivity and adaptive capacity. GIS-based approach was applied to generate a set of indicators and the fuzzy AHP method was investigated for determination of the weighted scheme for parameters included in the climate vulnerability assessment. The study results indicate that the coastal districts including Son Tra and Ngu Hanh Son districts are most vulnerable to climate change due to high exposure, high sensitivity and limited adaptive capacity. On the contrary, the district with high level of adaptive capacity such as Hai Chau district is usually ranged in low level of vulnerability. The results confirm the importance of enhancing adaptive capacity in responding to the impact of climate change.

A Climate Change Vulnerability Assessment Design Framework: The Case of Small-scale Farmers in Western Honduras

Climate change is now affecting every known society. Small-scale farmers in low-income countries are especially vulnerable to climate change because they depend heavily on rain, seasonality patterns, and known temperature ranges. Prioritizing the efforts of building climate change resilience and adaptive capacity for small-scale farmers is essential in achieving Sustainable Development Goals 13, 1, and 2. An important first step towards those efforts is to assess the climate change vulnerability among the population. We propose a Climate Change Vulnerability Assessment Framework Design Framework (CCVA-DF) to guide the design of innovative digital CCVA solutions to enhance the adaptive capacity and climate change resilience of small-scale farmers. The framework outlines modern methods for vulnerability data collection and processing through Remote Sensing and GIS, advanced spatial analysis and modeling for measuring vulnerabilities, and visual analytics to support decision-making in the planning and implementation of suitable interventions. The framework is instantiated into a web application that is used by a real-world organization for transforming household resilience in Western Honduras. The CCVA-DF showcases novel measures of vulnerability using geospatial technology. It provides guidelines to design digital vulnerability assessment tools that can be used by researchers and practitioners worldwide to tackle climate change challenges.