Adverse Effects Of Climate Change Research Articles

Utilizing Indigenous Knowledge Systems on Climate Change for Forestry Conservation in Kenya

Forest conservation is important in climate change mitigation. The Indigenous Knowledge (IK) or Indigenous Knowledge System (IKS) has recently been recognised in forest conservation for climate change mitigation. The potential use of IKS in climate change management in Sub-Saharan Africa including Kenya is unknown. Numerous analytical postulations detailing how to integrate IKS in climate change management have been formulated. However, this information is fragmented and mostly lost in sociology literature. This paper briefly reviews the indigenous knowledge related to different aspects of forest resource management. This review delves at in-depth information on the IKS and climate change management in Sub-Saharan Africa, emphasizing Kenya. For this review, the scooping review methodology was used to describe the state of knowledge and map the available evidence of the role of IKS for forest conservation and climate change adaptation. It discusses the role of IKS in climate change management in Sub-Saharan Africa and the potential application of the IKS in preventing adverse climate change effects. The integration of IKS to guide the climate change management have been evaluated and the threats to IKS and their conservation deliberated. It is generally observed that in many rural communities in Kenya, IKS is useful for enhanced food production, forest conservation and natural disaster management. But being culture-specific, IKS can be adopted across communities in SSA for real time management of climate change.

Optimizing delayed sowing date decreases methane emissions from paddies and ensures the comprehensive benefits of rice production

Adjusting the sowing date presents a cost-effective and advantageous practice to mitigate the adverse effects of climate change on agricultural cultivation. However, its impact on the comprehensive benefits of rice production in terms of methane (CH4) emissions remains uncertain. During the 2019–2021 rice growing season, field studies with different sowing dates were carried out, including a conventional sowing date (CS) and a delayed sowing date of 10 days (DS1) and 20 days (DS2) from the conventional sowing date. CH4 fluxes were monitored using a transparent box-high precision greenhouse gas analyzer (LGR). During the crucial growth stage of rice, the physicochemical properties and enzyme activities of the soils were assessed, while both atmospheric and soil temperatures were recorded. Changes in rice yields were analyzed, and the comprehensive benefits of rice production were calculated. The results demonstrated a significant decrease in the peak of CH4 flux with the delayed sowing date, and the growth stages of rice characterized by high cumulative CH4 emissions were observed to be delayed. Compared to CS, DS1 and DS2 exhibited reductions in cumulative CH4 emissions by 29.98 % and 56.61 %, respectively (three-year average). Atmospheric and soil temperatures showed significant increasing exponential correlations with CH4 fluxes, and temperature sensitivity decreased with the delay of sowing date. The delayed sowing date resulted in more stable changes in soil carbon and nitrogen levels, elevated soil pH, and diminished soil enzyme activity, which could potentially serve as a mechanism for mitigating CH4 flux. DS1 improved the solar radiation and heat utilization efficiency of rice and promoted the growth of panicles and grains, so the yield increased by 20.16 % compared with CS. However, the growth period of DS2 was insufficient for photosynthetic product formation and posed a risk of yield reduction, with an average decrease of 6.46 % over the three-year average. Relative to CS, DS1 effectively reduced cumulative CH4 emissions while ensuring an increase in production, resulting in a 28.90 % increase in comprehensive benefits. Although DS2 achieved greater reductions in cumulative CH4 emissions, the decline in yield resulted in a 7.73 % decrease in comprehensive benefits. In summary, optimizing delayed sowing (delayed sowing for 10 days) is conducive to achieving rice yield and CH4 emission reduction, and this finding provides important and novel insights for eco-efficient rice planting.

The permanent regime of temporary solutions: Housing of forced migrants in Europe as a policy challenge

Periods of forced migration to and in Europe have been common in the past decade and show no expectation of stalling due to ongoing armed conflicts, global inequalities and the adverse effects of climate change. Nevertheless, the provision of accommodation for asylum seekers and refugees continues to depend on temporary, ad hoc solutions. In the context of housing financialisation and shortage of affordable housing across European cities, this decreases opportunities for integration and securing other needs, such as jobs, language acquisition and childcare, but increases the risk of refugee homelessness and social exclusion. Based on cross-national Urban Living Labs exchanges in Leipzig, Riga, Lund, Helsingborg and Vienna, this commentary argues for a European agenda for long-term housing solutions for forced migrants in the arrival and settling phases that tackle issues from discrimination to access, to belonging. Importantly, creating long-term housing solutions for refugees would benefit whole housing systems as instruments of social inclusion.

Climate mitigation and adaptation: Regional imbalance in research efforts

Mitigation and adaptation coping with the adverse effects of climate change are crucially important in managing the risk. Research on climate mitigation and adaptation serves as the foundational pillar upon which resilient strategies are constructed. By examining 1835 journal articles indexed by Scopus, geographic patterns of research efforts and collaborations on mitigation and adaptation to climate changes and risks merge out. Research efforts are predominantly from Western countries but depict an uneven intensity. Whereas international collaboration concerns primarily developed countries in North America and Europe, recent research bridging activities with developing countries in Asia and Africa are growing.

Understanding factors intercepting response of rice farmers to climate change in Ebonyi State, Nigeria

<p>Understanding factors intercepting the response of rice farmers to climate change in Ebonyi State, Nigeria, was investigated. A total of 70 rice farmers were sampled using a multi-stage sampling technique and administered a questionnaire. Primary data was collected and analyzed using descriptive statistics (mean, frequency, percentage, chart) and an ordinary least squares multiple regression model. Results show that the rice farmers cultivated on small land holdings, were relatively educated, sourced their land via inheritance, and had 16 years of farming experience. Results reveal that 72% of the rice farmers are highly aware of climate change, while 17% and 11% are relatively aware and not aware, respectively. Temperatures, rainfall, and the number of rainy days have positive effects on rice production, while sunshine hours and relative humidity have negative effects on rice production. Age, gender, education, farm size, extension contacts, and participation in workshops were significant variables influencing rice production in the state. Capital, crude implements, pests and diseases, poor soil, lack of incentives, and cultivation systems were the non-climatic factors that influenced rice cultivation in the state. Farmers were recommended to embrace climate-smart cropping systems and seek early climate change information to mitigate the adverse effects of climate change on rice cultivation.</p>

Technological Insights on Glycerol Valorization into Propanediol through Thermocatalytic and Synthetic Biology Approaches

The adverse effects of climate change, predominantly propelled by greenhouse gas emissions from fossil fuels, underscore the urgency of seeking sustainable alternatives to fossil fuel use. Amid growing concerns about climate change caused by fossil fuels and petrochemicals, this review focuses on sustainable solutions through the conversion of glycerol into value-added biochemicals. Glycerol, as the main byproduct of biodiesel production, is a particularly attractive chemical due to its potential to be upgraded into value-added building blocks and biochemicals. This review provides a detailed analysis of different thermochemical (catalytic) and synthetic biology (fermentative) pathways for the conversion of glycerol into 1,2-propanediol and 1,3-propanediol, which have proven industrial and commercial applications globally. The synthesis of propanediol from glycerol hydrogenolysis and other catalytic processes using different active metals and acidic oxides is reviewed. The reaction mechanism involved in hydrogenolysis reactions concerning the surface reaction mechanism is systematically discussed. The metabolic activities of promising microorganisms in fermenting glycerol, as the carbon source used to produce propanediol, are illustrated and elaborated. Combining these insights, this review is a comprehensive resource that can foster a better understanding of glycerol transformation into propanediol and its implications for sustainable chemistry and industrial practices. This exploration of alternative methods emphasizes the potential of sustainable approaches to reshape production practices and contribute to climate change mitigation.

Physiological and phenological adjustments in water and carbon fluxes of Aleppo pine forests under contrasting climates in the Eastern Mediterranean.

The ability of plants to adjust to the adverse effects of climate change is important for their survival and for their contribution to the global carbon cycle. This is particularly true in the Mediterranean region, which is among the regions that are most vulnerable to climate change. Here, we carried out a 2-year comparative ecophysiological study of ecosystem function in two similar Eastern Mediterranean forests of the same tree species (Pinus halepensis Mill.) under mild (Sani, Greece) and extreme (Yatir, Israel) climatic conditions. The partial effects of key environmental variables, including radiation, vapor pressure deficit, air temperature and soil moisture (Rg, D, T and soil water content (SWC), respectively), on the ecosystems' CO2 and water vapor fluxes were estimated using generalized additive models (GAMs). The results showed a large adjustment between sites in the seasonal patterns of both carbon and water fluxes and in the time and duration of the optimal period (defined here as the time when fluxes were within 85% of the seasonal maximum). The GAM analysis indicated that the main factor influencing the seasonal patterns was SWC, while T and D had significant but milder effects. During the respective optimal periods, the two ecosystems showed strong similarities in the fluxes' responses to the measured environmental variables, indicating similarity in their underlying physiological characteristics. The results indicate that Aleppo pine forests have a strong phenotypic adjustment potential to cope with increasing environmental stresses. This, in turn, will help their survival and their continued contribution to the terrestrial carbon sink in the face of climate change in this region.

Effects of Climate Change on Women's Food Security in Mwea East Sub-County, Kirinyaga County, Kenya

Climate change has had adverse impacts on people’s lives and the economies of nations across the globe. This research examined the effects of climate change on socio-economic development of women in Mwea East sub-county, Kirinyaga County. The study was conducted in Ngucwi sub Location, Murinduko Ward, and explored how climate change events continue to threaten food security among women. The study used descriptive research design and integrated qualitative and quantitative approaches. The researcher used purposive sampling to select Mwea East sub County which has experienced frequency and severity of climate change events of drought. Cluster sampling was used to divide the sample among the different villages and systematic random sampling to select households in each village. Out of the population of 38,734 women of ages 18 years to 69 years; a sample size of 449 was calculated. A semi-structured questionnaire was used to collect data and key informant interviews and focus group discussions were used to gather qualitative information. Quantitative data from questionnaires was analysed using descriptive statistics and regression analysis while thematic and content analysis was used to analyse qualitative data. The Statistical Package for the Social Sciences (SPSS) Version 25 was also used as a tool for analysing data. The study found that climate change was negatively related to food security, a relationship that was statistically significant. The study findings may provide policy and decision-makers with useful information to guide the design of appropriate social-economic programmes, plans and policies to protect women from the adverse effects of climate change.

Natural resources rent and climate vulnerability: An inverted U-shaped relationship moderated by productive capacity, trade openness, and urbanization in resource-abundant countries

Natural resources play a pivotal role in the global economy, with numerous nations leveraging their extraction, utilization, and exportation as primary drivers for economic advancement. Nonetheless, an overreliance on these resources can expose countries to the adverse effects of climate change, including droughts, floods, and other extreme climatic events, thereby jeopardizing production and revenue streams. Paradoxically, the revenues derived from natural resource extraction can be channeled towards initiatives aimed at climate change mitigation and adaptation, underscoring the intricate interplay between natural resources and climate vulnerability. This research endeavors to elucidate the inverted U-shaped relationship between total natural resources rent and climate vulnerability. The study encompasses nineteen resource-rich countries over the period 2000–2021. Employing the panel quantile ARDL (Auto-Regressive Distributed Lag) methodology with a dynamic fixed effect specification, we delve into the moderating influence of overall productive capacity, trade openness and urbanization on the nexus between resource extraction and climate vulnerability. The panel QARDL estimations are segmented into the 25th, 50th, and 75th quantiles for both long-term and short-term outcomes. In the long-term perspective, our findings validate an inverted U-shaped association between total natural resources rent and climate vulnerability. Factors such as urbanization and trade openness exhibit a positive correlation with climate vulnerability, whereas economic growth demonstrates an inverse relationship. Significantly, the study reveals that productive capacity, when acting as a moderator for natural resources rent, holds the potential to attenuate climate vulnerability.

Современные проблемы коренных малочисленных народов российской Арктики в условиях климатических изменений

The article describes the current problems of small indigenous peoples of the Russian Arctic in the context of climate change, the main of which are: the food problem, the problem of transport accessi-bility, the problem of economic activity and the problem of health. Because of global warming due to the increase in the average annual temperature, there is a high probability that the above-mentioned problems will only increase and significantly affect all life support systems of small indigenous peoples of the Russian Arctic. The article uses analysis and synthesis, induction and deduction to show the interconnection and mutual influence of the existing problems on the economic activity and health of small indigenous peoples in the conditions of climate change in the Arctic. In order to solve the current problems of the Russian Arctic indigenous minorities in the context of climate change, the following is required: 1) development of laws, strategies and/or state programs for the protection of indigenous peoples to minimize the adverse effects of climate change by sectors (reindeer herding, fishing, hunting and gathering); 2) creation of a system for assessing the impact of climate change on the economic activity and health of indigenous peoples; 3) participation of indigenous peoples in environmental monitoring and implementation of environmental projects in the Arctic.

Improved growth of coffee seedlings (Coffea canephora) under SMART irrigation system

Water stress in plants due to the effects of climate change resulted in reduced growth and yield of coffee in the tropics. Efficient use of water through the use of SMART irrigation systems available provides a promising solution to address such a problem. Thus, a study utilizing a combined climate- based and soil moisture SMART irrigation system has been conducted to assess its effects on the growth of Robusta coffee seedlings compared to practiced manual irrigation. The experimental design utilized a Complete Block Design (CBD) approach. Additionally, water consumption was measured to determine any significant differences. Over the course of the two-month experiment, 20 replications per treatment, it was observed that coffee seedlings subjected to the automated irrigation system (T1) exhibited significant improvements in both plant height and number of leaves, with growth rates of 72.56% and 65.29%, respectively, compared to manually irrigated plants (T0). Although the water savings achieved under the automated system were not statistically significant, there was an 18.95% reduction in water consumption. These findings highlight the potential benefits of automating irrigation systems using an IoT approach, specifically in terms of enhancing coffee seedling productivity. By utilizing real-time data from sensors, the SMART irrigation system effectively optimized water usage and resulted in improved growth and yield. This research underscores the importance of implementing such technological advancements to mitigate the adverse effects of climate change on coffee cultivation in tropical regions.

Geospatial characterization of climate-smart agroforestry in two contrasting physiographic zones of Rwanda

Efficient use of rich natural resources notably land, is one of the most important indicators of economic progress. The unmatched population growth with production has triggered increased demand for food. Nations have prioritized sustainable agriculture as a coping strategy. Climate-smart agroforestry (CSAF) can be one of the options to increase productivity, income, and food security, and stabilize the environment. CSAF denotes a practiced farming system of combining trees with crops or animals (AF) evolved in practices to enhance productivity and feed the food-insecure people while coping with the adverse effects of climate change. This study investigates the land suitability for CSAF in the Bugesera and Rulindo regions of Rwanda. Nine variables were considered for investigation in the study viz. elevation, slope, soil type, rainfall, temperature, LU/LC, distance from roads and trade centers, and landslide risks. The analysis used two commonly known techniques (AHP and GIS) integrated to classify and sort out the suitable land for CSAF practices and development. Results identified three CSAF suitability zones, ranging from 1,662.82 ha (1.60 %) as highly suitable and 90,123.78 ha (86.62 %) as moderately suitable to 12,262.50 ha (11.78 %) less suitable zones in Bugesera. In Rulindo, suitability zones range from 709.92 ha (9.69 %) as highly suitable and 6,514.56 ha (88.92 %) as moderately suitable to 102.24 ha (1.39 %) less suitable land for CSAF. Results further showed that the available means suitable land for CSAF are 34,683.03 ha in Bugesera (34,683.03 ± 48,304.71) and 2,442.24 ha in Rulindo (2,442.24 ± 3,539.79). Land suitability scores for CSAF largely varied across sites (F = 1.33, p = 0.31). Cross-validation using ground-truthing information (field visit and collection of GPS-based ground coordinates of random locations of actual CSAF) mostly supported the generated CSAF suitability maps (nearly 91 % of ground-based locations supported the model output). This study integrates GIS with AHP to plan CSAF farming and scaling up. In sites such as Bugesera and Rulindo where investigations on CSAF are scanty, these results reveal the extent of CSAF farming in the targeted areas. They can provide direction for future land use modifications, better land stewardship, and cost-effective solutions in study areas, and other agroclimatic zones. Moreover, this study will pave the way for further studies on the potential CSAF and possibly required interventions for the assessed areas.

The relationship between nursing students' environmental literacy and awareness of Global Climate Change.

This study aims to examine the correlation between environmental literacy and levels of awareness of global climate change in nursing students. The cross-sectional and correlational design. 476 undergraduate nursing students METHODS: Data were collected with The Personal Information Form, the Awareness Scale of University Students about Global Climate Change, and Environmental Literacy Scale for Adults in March 2023. Descriptive statistics, correlation, and linear regression analysis (stepwise method) were used to analyze the data. The mean scores of the Environmental Literacy Scale and the Awareness Scale of University Students about Global Climate Change Scale were 87.31±8.61 and 75.60±14.86, respectively. A positive correlation was found between the awareness of global climate change and environmental literacy (p<0.05). As participation in meetings on environmental problems, environmental concerns and awareness increased, awareness of global climate change increased. Nursing students had high levels of awareness of global climate change and environmental literacy. The awareness of nursing students on climate change and their environmental literacy levels are highly important in protecting public health against the adverse effects of climate change and reducing climate change through effective resource management in health services in the future. It is recommended that integrate courses related to environment health to curriculum of nursing school and in-service training during healthcare. The study draws attention to the Sustainable Development Goals related to climate change.

Climate-smart agriculture in Ethiopia: Adoption of multiple crop production practices as a sustainable adaptation and mitigation strategies

Given that Ethiopian agriculture is seriously threatened by climate change, understanding the factors that influencing the adoption of various climate-smart agricultural (CSA) practices supports policy interventions to reduce negative effects of climate change. Therefore, this study was aimed at exploring determinants of the adoption of multiple CSA practices by focusing on crop production. This study used data from 271 randomly selected smallholder farmers from the Gamo, Gofa and Konso zones of Southern Ethiopia, and a multivariate probit (MVP) model was used to analyze the data. Crop diversification, irrigation, drought-tolerant and early-maturing crop varieties, integrated soil fertility management, and integrated pest management were prominent CSA practices to improve crop productivity, increase adaptivity capacity, and mitigate the adverse climate change effects in the study area. The study's findings indicate that the adoption of CSA practices varies considerably between farmers and agroecology. The MVP simulation result reveals that farmers’ adoption decisions for CSA practices are highly interdependent, indicating that farmers adopt two or more adaptation and mitigation strategies as mutual CSA practices. Furthermore, the regression result reveals that the education level of farmers, extension contact, accessing climate variability information, access to irrigation facilities, and social group participation were similar underlying factors that affected the adoption decision of CSA practices. By providing climate change information, respective organizations should encourage farmers to utilize available alternate irrigation access and climate-resilient crop varieties. In addition, strengthening social norms through agricultural cooperatives and training on the application of integrated pest management and soil fertility management are suggested to spur farmers' CSA uptake.

The Food Systems, One Health, and Resilience (FOR) Approach—Led by the FOR-Runners

The COVID-19 pandemic, adverse effects of climate change, the ongoing war in Ukraine, and other threats have been calling on all relevant stakeholders from varied disciplines to collaborate via the One Health approach, addressing the health of people, animals, plants, and their shared environment. This narrative review examines the need to add two more dimensions to the One Health approach: food systems and resilience, thus laying down the foundation of the Food System, One Health, and Resilience (FOR) approach. By doing so, all FOR approach elements would benefit from collaborative, multisectoral, transdisciplinary, planet-based, and system-focused efforts. Addressing more comprehensive determinants that positively impact resilience and sustainability would upgrade the One Health approach. We share some examples of academic institutions and innovation hubs that use this approach to improve access to adequate, safe, nutritious, and sustainable diets for all on our planet. We call on other FOR stakeholders, including governing institutions, to embrace the FOR approach and join the “FOR-runners”. It is suggested to widen the FOR community by including the doers, the food system’s workers, and consumers and to create the needed common grounds to drive for solutions rooted in equitable, just, locally tailored, inclusive, and sustainable solutions that withstand emergencies.

Biochar as an Environment-Friendly Alternative for Multiple Applications

The climate crisis and years of unsustainable agricultural practices have reduced soil fertility and crop yield. In addition, agricultural lands contribute more than 10% of greenhouse gases (GHGs). These concerns can be addressed by using biochar for carbon neutralization, environmental restoration, and agricultural management. Biochar has a role in nitrous oxide and methane gas emission mitigation from agricultural soil. New methods are needed to link belowground processes to functioning in multi-species and multi-cultivar agroecosystems. The intricate relationship between biochar and the composition of soil microbial communities, along with its impacts on functions within the rhizosphere, constitutes a highly perplexing and elusive subject within microbial genomics. The present review discusses how biochar can mitigate climate change, enhance carbon sequestration, and support crop productivity. Biochar could be a potential solution to mitigate soil microplastics and heavy metal contamination. Applying a biochar-based microbiome reduces polycyclic aromatic hydrocarbons (PAHs) in soil. The current knowledge and perspectives on biochar–plant–microbial interactions for sustainable agriculture and ameliorating the adverse effects of climate change are highlighted. In this review, a holistic approach was used to emphasize the utility of biochar for multiple applications with positive and negative effects and its role in promoting a functional circular economy.

Advancing the Conservation and Utilization of Barley Genetic Resources: Insights into Germplasm Management and Breeding for Sustainable Agriculture.

Barley is a very important crop particularly in marginal dry areas, where it often serves as the most viable option for farmers. Additionally, barley carries great significance in the Western world, serving not only as a fundamental crop for animal feed and malting but also as a nutritious food source. The broad adaptability of barley and its ability to withstand various biotic and abiotic stresses often make this species the sole cereal that can be cultivated in arid regions. The collection and utilization of barley genetic resources are crucial for identifying valuable traits to enhance productivity and mitigate the adverse effects of climate change. This review aims to provide an overview of the management and exploitation of barley genetic resources. Furthermore, the review explores the relationship between gene banks and participatory breeding, offering insights into the diversity and utilization of barley genetic resources through some examples such as the initiatives undertaken by ICARDA. Finally, this contribution highlights the importance of these resources for boosting barley productivity, addressing climate change impacts, and meeting the growing food demands in a rapidly changing agriculture. The understanding and utilizing the rich genetic diversity of barley can contribute to sustainable agriculture and ensure the success of this vital crop for future generations globally.

Performance of solar roof top panels with disparate particulate accumulation: Exergy analysis on an indoor lab study.

Deployment of solar photovoltaic panels are significantly rising to tackle adverse effects of climate change however, factors affecting output need to be categorized in addition to latitude angle and space. It is important to consider the atmospheric impact which can drastically change output power of solar panels. This study covers dust accumulation of soil, sand and ash at variable weights to foresee its effects on panel power output. Mixtures of these particles at multiple constituents were also analyzed. Experimental results indicated that clean panel gives maximum power output of 21.37W and exergy efficiency of 7.96% whereas ash accumulation showed worst results of 2.88W power output and 1.07% exergy efficiency at 700W/m2 and 50g dust accumulation. Other parameters like energy destruction, exergy losses and sustainability index were also analyzed. Trends have been illustrated in graphs along with the change in solar intensity and dust accumulations.

Energy load forecasting: one-step ahead hybrid model utilizing ensembling

In the light of the adverse effects of climate change, data analysis and Machine Learning (ML) techniques can provide accurate forecasts, which enable efficient scheduling and operation of energy usage. Especially in the built environment, Energy Load Forecasting (ELF) enables Distribution System Operators or Aggregators to accurately predict the energy demand and generation trade-offs. This paper focuses on developing and comparing predictive algorithms based on historical data from a near Zero Energy Building. This involves energy load, as well as temperature data, which are used to develop and evaluate various base ML algorithms and methodologies, including Artificial Neural Networks and Decision-trees, as well as their combination. Each algorithm is fine-tuned and tested, accounting for the unique data characteristics, such as the presence of photovoltaics, in order to produce a robust approach for One-Step-Ahead ELF. To this end, a novel hybrid model utilizing ensemble methods was developed. It combines multiple base ML algorithms the outputs of which are utilized to train a meta-model voting regressor. This hybrid model acts as a normalizer for any new data input. An experimental comparison of the model against unseen data and other ensemble approaches, showed promising forecasting results (mean absolute percentage error = 5.39%), particularly compared to the base algorithms.

Beyond the North–South divide: Litigation's role in resolving climate change loss and damage claims

AbstractWithin the international climate regime, legal aspects surrounding loss and damage (L&amp;D) are contentious topics, implicating liability, compensation and notions of vulnerability. The attribution of responsibility and the pursuit of redress for L&amp;D present intricate legal and governance challenges. The ongoing debates under the United Nations Framework Convention on Climate Change are characterized by a pronounced North–South divide and have done little to provide tangible support to those most affected by L&amp;D. This apparent neglect has prompted exploration of alternative avenues for climate harm redress. The burgeoning field of litigation for liability and compensation of climate harm holds potential significance for L&amp;D discourse, but its efficacy, especially in compensation claims relating to the adverse effects of climate change, is uncertain. There is, as yet, no precedent of plaintiffs succeeding in an L&amp;D case, with numerous legal, evidentiary and practical barriers persisting, particularly for Global South plaintiffs aiming to hold Northern governments and actors accountable. This article scrutinizes recent advances in climate litigation and their potential to facilitate or obstruct L&amp;D litigation. Focusing on seminal L&amp;D cases, namely, Lliuya v RWE and Asmania et al v Holcim, we present a novel legal critique of climate litigation's capacity to assist climate‐vulnerable States, populations and communities in pursuing redress for L&amp;D, based on pertinent case law and an examination of overarching issues of attribution and extraterritorial jurisdiction.