Climate Change Resilience Research Articles

Indonesia's City Diplomacy in Promoting Global Sustainability Context through Urban Networks

The present research investigates the function of urban diplomacy in promoting sustainable initiatives in the swiftly urbanising setting of Indonesia. The study concentrates on the way urban networks facilitate the dissemination of knowledge, resources, and optimal practises among local administrations. Through the examination of diverse urban networks, including inter-city partnerships, cross-border municipal networks, and regional programmes, this study underscores their role in bolstering local capabilities and advancing sustainable urban development strategies in domains such as waste disposal, ecological infrastructure, and climate change resilience. Furthermore, the research investigates the supportive function of the national government of Indonesia in urban networks and city diplomacy endeavours, showcasing its dedication to urban sustainability via policies and international collaborative endeavours. The study highlights the capacity of urban networks and city diplomacy to promote global sustainability in Indonesia. It proposes that cultivating strong urban networks and efficient city diplomacy can substantially aid in achieving a sustainable future for both the country and the regional.

PERAN MASYARAKAT TERHADAP PELESTARIAN LINGKUNGAN MELALUI KEGIATAN PROKLIM DI DUSUN MENDIRO

Proklim activities are one of the activities that aim to increase public awareness of the environment, because their role is to create awareness and community cooperation in creating a healthy and clean environment. The aim of Proklim's activities is to create a community that is self-sufficient in terms of climate change resilience with community empowerment-based resilience through good disaster adaptation and mitigation, as well as reducing emissions and Greenhouse Gases (GHG). Mendiro Hamlet is one of the locations where Proklim activities are carried out, because its conditions and potential meet aspects of adaptation and mitigation efforts in climate change. There is conservation land and environmental care activities carried out by the Menduro Hamlet community, creating multi-stakeholder collaboration. So this research is based on descriptive qualitative with primary and secondary data obtained to give results that are in accordance with the reality in the field. Thus the Proklim activities in Mendiro Hamlet were carried out smoothly and produced a clean and healthy environment.

Incorporating Climate Change Resilience in India’s Railway Infrastructure: Challenges and Potential

Incorporating Climate Change Resilience in India’s Railway Infrastructure: Challenges and Potential

Understanding ecosystem services for climate change resilience in coastal environments: a case study of low-canopy sub-tidal seagrass beds in Fiji

The Pacific Island Countries (PICs) are exposed to extreme wave conditions which are projected to be exacerbated by rising sea levels due to climate change, prompting the need for strategic planning of coastal communities and assets. Nature-based protection has been proposed as a sustainable solution to promote the resilience of coastal areas from physical impacts such as wave-induced erosion. In this study, we investigate the potential coastal protection service of shallow sub-tidal low-canopy seagrass beds, dominated by Halodule uninervis, on the rate of wave height and wave energy reduction on a barrier and fringing reefs. The data was collected using bottom-mounted pressure sensors to measure wave height and energy reduction as waves moved toward the shoreline across the seagrass beds. The results show that on average, the seagrass beds were able to reduce wave height by 30% and energy by 47% in both reef environments. These reduction rates are strongly influenced by water depth, seagrass characteristics and local reef conditions. Based on these results, seagrasses can strengthen the resilience of coastal shorelines to wave erosion, thus conserving healthy low-canopy seagrass habitats has measurable benefits for shoreline protection in Fiji and other PICs.

Genome Editing and Improvement of Abiotic Stress Tolerance in Crop Plants.

Genome editing aims to revolutionise plant breeding and could assist in safeguarding the global food supply. The inclusion of a 12-40 bp recognition site makes mega nucleases the first tools utilized for genome editing and first generation gene-editing tools. Zinc finger nucleases (ZFNs) are the second gene-editing technique, and because they create double-stranded breaks, they are more dependable and effective. ZFNs were the original designed nuclease-based approach of genome editing. The Cys2-His2 zinc finger domain's discovery made this technique possible. Clustered regularly interspaced short palindromic repeats (CRISPR) are utilized to improve genetics, boost biomass production, increase nutrient usage efficiency, and develop disease resistance. Plant genomes can be effectively modified using genome-editing technologies to enhance characteristics without introducing foreign DNA into the genome. Next-generation plant breeding will soon be defined by these exact breeding methods. There is abroad promise that genome-edited crops will be essential in the years to come for improving the sustainability and climate-change resilience of food systems. This method also has great potential for enhancing crops' resistance to various abiotic stressors. In this review paper, we summarize the most recent findings about the mechanism of abiotic stress response in crop plants and the use of the CRISPR/Cas mediated gene-editing systems to improve tolerance to stresses including drought, salinity, cold, heat, and heavy metals.

Does food biodiversity protect against malnutrition and favour the resilience to climate change-related events in Amazon Indigenous communities? A protocol for a mixed methods study

Background: Undernutrition is projected to be a major consequence of climate change. Biodiversity could enhance climate change resilience by improving nutritional outcomes and providing healthy food resources during and/or after climate-related events. For Indigenous populations who currently base their diet on local biodiversity, rapid climate changes may affect their ability to produce, access or gather food and consequently impact their nutritional status. There is a knowledge gap regarding whether nutritional status among Indigenous populations is better among those who consume a diet with greater biodiversity than those who have a diet with low biodiversity. Objective: This study aims to investigate the role of food biodiversity (FBD) in nutritional resilience to extreme flooding events of Shawi Amazon Indigenous adults living in Peruvian communities that have experienced extreme floods in the past five years. Methods: This study will use a mixed-method sequential explanatory design. The quantitative component includes a cross-sectional survey to assess the association between food biodiversity (FBD) and the prevalence of anaemia in adults aged 15 to 60 years old (n=365). Anaemia will be evaluated using blood hemoglobin and serum ferritin. FBD will be measured with a food frequency questionnaire and a 24-hour dietary recall. Soil-transmitted helminth infections, malaria, and inflammatory biomarkers will also be evaluated. Qualitative component will include a community-based participatory approach to investigate the role of FBD in the responses to extreme floods. Male (n=14) and female (n=14) participants, previously identified in the quantitative phase with high and low levels of FBD, will be invited to participate in a Photovoice activity and semi-structured interviews. A analytical framework for climate change resilience will be used to integrate the data. Discussion: Findings will be integrated to identify features of diet quality to suggest nutritional interventions that are resilient to changing climatic conditions in the Amazon and respect Indigenous views.

Intercomparison of Mechanical Transplanted Rice and Direct Seeded Rice in Climate Change Resilient for Improving Crop-Water Productivity and Soil Health in North West IGP: A Review

Climate change is a major issue facing humanity, and the most common method for growing rice is manual puddled transplanted rice (PTR). Direct-seeded rice (DSR) is becoming increasingly popular due to its reduced methane emissions and reduced labour costs. However, there are drawbacks to this transition, such as an increase in weeds, herbicide resistance, nitrous oxide emissions, nutritional disorders, and soil-borne diseases. To reduce these issues, appropriate weed, water, and fertilizer management practices should be applied. Chemical and biotechnological methods, such as herbicide-resistant and more competitive allelopathic variants, will be required for sustainable rice production. The development of site- and soil-specific integrated packages will increase the adoption of DSR and decrease the negative effects of PTR on the environment.

Impacts of Industrial Wastewater Effluent on Ekerekana Creek and Policy Recommendations for Mitigation

This study investigated the impact of industrial wastewater originating from the Port-Harcourt Refinery Company Limited on Ekerekana Creek in Rivers State, serving as a primary fishing source for various communities. Water samples were collected and tested using established laboratory techniques, focusing on parameters such as heavy metals, pH levels, Phosphate, Nitrate, Temperature, Dissolved Oxygen, and BOD5. The findings revealed varying concentrations of heavy metals and other parameters in the water samples, with the highest concentrations observed at the discharge point (station 2), negatively affecting the flora population. The values of most parameters analyzed were below NESREA/WHO standards; however, the results underscore the importance of proper wastewater treatment and management from industrial sources to protect the environment and ensure the health and well-being of communities that rely on the creek.Based on the study's findings and best practices from the UK, US, and France, a set of comprehensive policy directions and community social responsibility measures are proposed. These recommendations include proper treatment of effluent by the Port-Harcourt Refinery Company Limited before discharge, active regulatory agency involvement, the adoption of an efficient and modern wastewater treatment facility, and the initiation of a clean-up procedure to reduce heavy metal concentrations and mitigate environmental hazards. Additionally, we advocate for the establishment of collaborative partnerships, community engagement, integrated watershed management, enforcement and compliance, research and innovation, and climate change adaptation and resilience measures. Implementing these recommendations will contribute to lasting improvements in water quality and the overall health of Ekerekana Creek and its surrounding communities.

Prediction of Future Urban Rainfall and Waterlogging Scenarios Based on CMIP6: A Case Study of Beijing Urban Area

Extreme weather events will become more frequent and severe as a result of climate change, necessitating an immediate need for cities to adapt to future climate change. Therefore, the prediction of future precipitation and waterlogging is of utmost importance. Using Beijing as an example, the simulation capability of different models was evaluated, and the optimal model for the study area was screened using Taylor diagrams and interannual variability scores, along with actual monthly precipitation data from Chinese weather stations from 1994 to 2014 and historical monthly precipitation data from 10 coupled models from Coupled Model Intercomparison Project Phase 6 (CMIP6). The SWMM model was then used to simulate future rainfall and waterlogging scenarios for the study area using precipitation forecast data for 2020–2050 from the best model to investigate the impact of climate change on future rainfall and waterlogging in urban areas. CMIP6 brings together the most recent simulation data from major climate models on a global scale, providing a broader and more diverse range of model results and thereby making future predictions more accurate and dependable, and its findings provide a theoretical foundation for the emergency management of and scientific responses to urban flooding events. The following major conclusions were reached: 1. The best-performing models are EC-Earth3, GFDL-ESM4, and MPI- ESM1-2-HR. EC-Earth3 is a modular Earth system model developed collaboratively by a European consortium. MPI-ESM1-2 is a climate precipitation prediction model developed in Germany and promoted for global application, whereas the GFDL-ESM4 model was developed in the United States and is currently employed for global climate precipitation simulations. 2. Under future climate circumstances, the total annual precipitation in the example region simulated by all three models increases by a maximum of 40%. 3. Under future climatic conditions, urban surface runoff and nodal overflow in the study area will be more significant. The node overflow will become more severe with the increase in climate scenario oppression, and the potential overflow nodes will account for 1.5%, 2.7%, and 2.9% of the total number of nodes under the SSP1–2.6, SSP2–4.5, and SSP5–8.5 scenarios, respectively. 4. In the future, the effectiveness of stormwater drainage systems may diminish. To increase climate change resilience, the impacts of climate change should be considered when planning the scope of stormwater optimization and the integrated improvement of gray–green–blue facilities.

Capacity-building for Coastal Climate Change Adaptation and Resilience in the Pacific Islands

Abstract Capacity-building for coastal climate change adaptation in the Pacific Island countries (PICs) is paramount in ensuring resilience building and sustaina-ble management of coastal resources. The Pacific-European Union Marine Partnership (PEUMP) program, through its capacity-building component, works at achieving this by supporting delivery of technical and vocation education and training (TVET) and continuing professional development programs. The PEUMP training programs focus on addressing capacity needs associated with coastal resource management in the PICs, including but not limited to, inadequate economic considerations in coastal fisheries regulations; limited capacity to support community-based coastal resource management; insufficient Pacific-relevant training and qualifications for sustainable coastal resource management through inclusive approaches; and insufficient in-depth understanding of the government’s role in com-munity and ecosystem-based approaches. To address some of these gaps PEUMP delivered TVET programs, micro-qualifications, non-formal training, and professional short courses across 15 PICs. Post-training impact assess-ments found the PEUMP training programs to have improved the knowledge and skills of participants, with more than 70 percent of the par-ticipants gaining new skills and/or knowledge, which they attempted to pass on to their colleagues. A number of lessons learned were identified through the PEUMP training programs, such as the pros and cons of deliv-ering training through virtual means within the Pacific context. The article wraps up with a set of recommendations as a way forward for capaci-ty-building in the Pacific Island region through further inclusive training, localization, and community-based approaches.

ENVIRONMENTAL SUSTAINABILITY WITH ARTIFICIAL INTELLIGENCE

This paper presents and explores How to improve Environmental sustainability with the help of Artificial Intelligence (AI). This study evaluates the potential environmental benefits of AI adoption, such as reductions in climate change, agriculture, ocean health, water resources, weather forecasting, and Disaster resiliency. Upon conducting a thorough analysis of the available literature, it was found that there is a research deficiency in the utilization of artificial intelligence and decision support systems, as well as optimization models. This study employs qualitative analysis to explore sustainable uses of AI and the environmental impact of AI. It emphasizes the importance of promoting environmental sustainability through AI and proposes an Environmental sustainability by AI approach as a prerequisite for developing transparent, responsible, and human-centered AI systems. The study primarily focuses on identifying ways in which AI can be utilized for sustainable environmental practices, with a particular emphasis on the role of AI in promoting environmental sustainability. This study has some limitations, one of which is its limited scope. The paper does not provide an extensive analysis of global environmental policies, which could potentially identify areas for cooperation or common ground. Additionally, the studys focus on environmental sustainability means that it neglects the economic and social aspects of sustainability, which could be further explored. The study can aid stakeholders in comprehending global efforts to enhance environmental sustainability through the implementation of AI. Additionally, as the technology is still in its nascent stage, this study can serve as a catalyst for promoting a sustainable environment approach to the development of AI technologies and their impact on the environment. KEYWORDS: Sustainable Environment, Artificial Intelligence, Environmental sustainability,Environmental sustainability with AI

Assessing the vulnerability to climate change of a semi-arid pastoral social–ecological system: A case study in Hulunbuir, China

Covering approximately 15% of the Earth's land surface and home to 14% of the total global population, semi-arid pastoral areas are characterized by high climatic variability and ecological vulnerability. Recurring extreme weather prodoundly shapes decision-making in semi-arid pastoral social–ecological systems (SAPSES) and their traditional natural-resource-based livelihoods. This study developed a conceptual framework of climate-livelihood vulnerability in SAPSES and evaluated the vulnerability of SAPSES to climate change effects and environmental pressure in Hulunbuir, China using a questionnaire survey and remote sensing monitoring data. Results showed that the study area were impacted substantially by climate change (0.68). However, the vulnerability was relatively low because of the moderate adaptability (0.59) and medium sensitivity of the local socio–ecological system (0.61). Natural factors, including climate variation, natural disasters and ecosystem sensitivity, were the main causes of vulnerability. The increasing vulnerability had been largely slowed by adaptive capital, the traditional cultural organization system and the collective action mechanism. Degraded grassland cover, lack of technical training and high habitation stickiness were the main reasons for increased sensitivity. Natural capital and financial capital were important factors restricting regional adaptive capacity. Therefore, promoting local livestock cooperatives, improving the provision of public services and strengthening ecological governance can help to enhance the climate change resilience and increase the stability and sustainability of SAPSES.

Stand spatial structure outcomes of forest adaptation treatments in northern hardwood forests in North America

Spatial arrangement of trees is determined by a complex suite of factors, including disturbance history, competition, and resource availability. These spatial patterns drive adaptive capacity by influencing arrangement of growing space, neighborhood competitive relationships, and disturbance response, with irregular patterns supporting higher adaptive capacity. While spatial structure in relation to disturbance and climate change resilience has been studied in dry conifer forests and old-growth temperate forests, it has never been explored in the context of climate adaptive management in mesic, second-growth forests. To address this gap, we analyzed tree spatial patterns in second-growth northern hardwood forests under four different climate adaptation management approaches: no action; resistance or resilience to impacts of climate change; and transition to future-adapted forest types. We used spatial point statistics approaches to describe how patterns differed among the four treatments. We found that the treatments focused on future adaptation led to patterns with variable tree spacing and clumping, while those focused on perpetuating current conditions resulted in less pattern variation. This indicates that adaptation strategies that include uneven-aged regeneration methods that restore and maintain tree spatial patterns historically generated by gap dynamics can be successful in altering resource availability patterns and adaptation space in forest stands.

Inclusive diets within planetary boundaries

Inclusive diets within planetary boundaries

Leveraging LiDAR for smart cities climate change resilient: A solar potential case study in a developing area

Smart cities and solar energy are crucial components in climate change adaptation and sustainability. The interrelation with United Nations Sustainable Development Goals (SDGs) based on the 7th SDG goal, Affordable and Clean Energy for solar energy, and the 11th SDG goal, Sustainable Cities and Communities for smart cities, catalyze the research in this field. Unfortunately, there are some gaps in integrating smart cities and solar energy, especially in the elevation model and solar potential accuracy factors. It is essential because the highly accurate integrated model is enormously beneficial, especially for stakeholders. Therefore, this study is leveraging the Light Detection and Ranging (LiDAR) technology to provide high-resolution datasets for elevation models and create a precise 3D urban environment model for resilient integrated smart cities climate change. Digital terrain, including Digital Terrain Model and Digital Surface Model, were developed based on precise LiDAR point clouds before two vital surfaces, building rooftops and land parcels, were treated as a fundamental surface for solar potential calculation. The solar potential Return of Investment rate was classified and integrated with the 3D urban environment model. This 3D urban environment model helps visualize and provides a more specific and coherent picture of reality. The potential application of LiDAR data in climate change adaptation and sustainability that can be linked using various technologies and scales is also demonstrated in this study.

International risk of food insecurity and mass mortality in a runaway global warming scenario

Climate and agriculture have played an interconnected role in the rise and fall of historical civilizations. Our modern food system, based on open-environment production and globalised supply chains, is vulnerable to a litany of abiotic and biotic stressors exacerbated by anthropogenic climate change. Despite this evidence, greenhouse gas emissions continue to rise. Current trajectories suggest global warming of ∼2.0–4.9 °C by 2100, however, a worst-case emissions scenario with rapid combustion of all available fossil fuels could cause a rise of ∼12 °C. Even if emissions decline, unprecedented atmospheric CO2-e concentrations risk triggering tipping points in climate system feedbacks that may see global warming exceed 8 °C. Yet, such speculative ‘runaway global warming’ has received minimal attention compared to mainstream low- to mid-range scenarios. This study builds on The Limits to Growth to provide new insights into the international risk of mass mortality due to food insecurity based on a higher-resolution illustration of World3’s ‘runaway global warming’ scenario (∼8–12 °C+). Our simulation indicates rapid decline in food production and unequal distribution of ∼6 billion deaths due to starvation by 2100. We highlight the importance of including high-resolution simulations of high-range global warming in climate change impact modelling to make well-informed decisions about climate change mitigation, resilience and adaptation.

Degree modeling of pistachio farmers' resilience against climate change (Study subject: Rural areas of Rafsanjan and Anar counties, Iran)

The counties of Rafsanjan and Anar are some of the main production centers of pistachio, an important strategic commodity of Iran that is recently facing major environmental problems such as climate change. Therefore, the present research has modeled the degree of resilience of Rafsanjan pistachio and pomegranate farmers against climate change. The study's statistical population was pistachio farmers in the rural areas of Rafsanjan and Anar, which were 27,860 people. To determine the sample size of the research, a sample size of 588 users was calculated using Cochran's formula, with an error level of 4%. Users were then randomly selected in each village as a proportional assignment. A questionnaire was used for data collection. A group of experts determined its validity, and Cronbach's alpha method was used to determine its reliability and internal consistency. The combined method of Vaikor-entropy was used to measure the resilience behavior of Rafsanjan pistachio and pomegranate farmers against climate change. Data processing was done using MATLAB 7.10, AMOSver24, SPSSver25, and Arc-GIS 10.5 software. The results show that the behavior of the studied farmers' resilience against climate change is at an average level. Also, after analysis, the studied villages were divided into six levels, ranging from lack of endurance to resilient. None of the villages fell into the lowest or highest level. There are 8 villages with a very weak resilience level and 22 villages in the weak resilience level. There are 26 villages at the relatively resistant level and 4 villages in the good resilience level. This finding indicates that the investigated pistachio growers are not in good shape in terms of climate change resilience, and they are unable to deal with larger climate change variations, which can have serious effects on the agricultural sector and the villages' livelihoods.

The impact of CSR on rural women custodians of seed, food and climate change resilience in Nigeria’s Niger Delta region

PurposeThe purpose of this paper is to critically examine the multinational oil companies’ (MOCs) corporate social responsibility (CSR) initiatives in Nigeria. Its special focus is to investigate the impact of the global memorandum of understanding (GMoU) on development of enterprising rural women as custodians of seed, food and traditional knowledge for climate change resilience in the Niger Delta region of Nigeria.Design/methodology/approachThis paper adopts a survey research technique, aimed at gathering information from a representative sample of the population, as it is essentially cross-sectional, describing and interpreting the current situation. A total of 768 rural women respondents were sampled across the rural areas of the Niger Delta region in Nigeria.FindingsThe results from the use of a combined propensity score matching and logit model indicated that the meagre interventions of MOCs’ CSR targeted at the empowerment of rural women as custodians of seed, food and traditional knowledge for climate change resilience recorded significant success in improving the role of women in agricultural production, especially in women’s involvement across value chains.Practical implicationsThis suggests that any increase in the MOCs’ CSR targeted at increasing rural women’s access to seed preservation facilities, food processing facilities and extension systems that impact a strong body of knowledge and expertise that can be used in climate change mitigation, disaster reduction and adaptation strategies will enhance women’s responsibilities in households and communities as stewards of natural and household resources and will position them well to contribute to livelihood strategies adapted to changing environmental realities.Social implicationsThis implies that MOCs’ GMoUs’ policies and practices should enhance women’s participation, value and recognize women’s knowledge and enable women as well as men farmers to participate in the decision-making process in agriculture, food production and land governance, as women need to be acknowledged and supported as the primary producers of food in the region, able to both cultivate healthy food and climate change resilience through small-scale agro-ecological farming system.Originality/valueThis research contributes to gender debate in agriculture from a CSR perspective in developing countries and explains the rational for demands for social projects by host communities. It concludes that business has an obligation to help solve problems of public concern.

Reframing Climate Change Resilience: An Intersectional Perspective of Ethnicity and Gender from Vietnam

This study breaks away from traditional macroeconomic-data-based research that often overlooks the subjective experiences of communities and social groups in assessing their resilience to external stressors. Instead, we conducted a nuanced analysis of self-assessments provided by 364 household heads in the Nam Dong District, Thua Thien Hue Province, Vietnam, to gain a comprehensive understanding of household resilience. Our investigation focused on two upland communities—the Kinh majority and Co Tu ethnic minority households—evaluating their resilience levels in terms of the five livelihood capitals and identifying significant disparities among different ethnic and gender groups. Our findings reveal notable differences in livelihood resilience to climate change and variability among these groups, particularly for women, the poor, and ethnic minorities who exhibit lower resilience levels. This underscores the need for policies and programs designed to improve resilience capacity while taking into account these groups’ cultural and social norms. We suggest focusing on improving financial, human, and social capitals to increase households’ resilience to external shocks. Specifically, building resilience for disadvantaged groups must go hand in hand with promoting their overall well-being and alleviating poverty. Additionally, we recommend tailored training programs to raise awareness among households and strengthening institutional systems to enhance overall resilience.

Organic materials to enhance climate change resilience on shallot production: a review

Shallot is one of the most important vegetables for Indonesian people due to its circumstances as the main ingredient in many Indonesian foods. The use of organic materials as nutrient sources is growing, concerning the increasing consumer demands on organic products and environmental issues such as climate change. Using organic materials helps plants to mitigate and adapt the environmental changes. This review described the potential organic sources as liquid organic fertilizer to support shallot growth. The method of this review was a systematic literature review that was grouped by themes. Liquid organic fertilizer is one of the most effective ways to improve plant production. The results showed that the effect of liquid organic fertilizer depends on the raw materials that were used. Several organic materials that potentially enhance shallot production and quality would be discussed, including rabbit manure, black soldier fly manure (kasgot) and white lead tree leaves. Those organic materials contain a high concentration of phosphorus, potassium and nitrogen that might accelerate shallot growth. The potential effect of those organic materials on increasing shallot production would be described briefly.