Sustainable Capacity Research Articles

Understanding Customer Opinion Change on Fresh Food E-Commerce Products and Services—Comparative Analysis before and during COVID-19 Pandemic

During the coronavirus disease 2019 (COVID-19) pandemic, non-face-to-face e-commerce has become a significant consumer channel for customers to buy fresh food. However, little is known about customer opinion changes in fresh food e-commerce (FFEC) products and services during COVID-19. This study investigated the changes in expectations and preferences of FFEC customers on products and services before and during the pandemic from online reviews through a text mining approach. We divided the pandemic into two phases, acute and recovery, and found that eight attributes affect customers’ opinions. Some logistic service-related attributes gained customer attention during the acute phase, but product-related attributes gained more attention in the recovery phase. Customers showed a great level of forgiveness on many attributes during the acute phase, but customers’ dissatisfaction was expressed during the recovery phase. Finally, the results of the comparative importance–performance analysis provide improvement strategies for FFEC and help optimize their resource allocation of FFEC and enhance sustainable operation capacity in the case of a crisis.

Building sustainable capacity for better access to diabetes care in low‐resource settings: A critical review of global efforts and integrated strategies

AbstractThe alarming state of global insulin access in low‐resource settings presents a major barrier to diabetes care. A comprehensive review of these challenges is lacking at the global level. To address this weakness, enhance affordability and build capacity for a more sustainable approach to scaling up access. This review analyzes the specific issue of inconsistent access to insulin in low‐ and middle‐income countries. Using this analysis, we mapped the scope and intensity of issues such as the unaffordability and unavailability of insulin. We also identified six innovative and integrative strategies for increasing and securing accessibility in the areas of policy making, marketing, clinical practice, health education, domestication, and multisectoral approaches.

Mapping health promotion practices across key sectors and its intersectoral approach at the local level: Study protocol.

This study outlines a protocol aimed at identifying and mapping health promotion practices in need of development from the perspectives of key sectors responsible for it at the local level and from an intersectoral perspective across four Spanish regions. A complementary multi-method study combining survey methods and qualitative interviews will be adopted. Purposive snowball sampling will be employed to select potentially rich informants from city councils, primary care centres, primary and secondary schools, and public health and civil society organizations in 12 municipalities sensitive to local health. Data on the degree of execution of health promotion activities, the level of intersectorality in their implementation, and their origins will be collected using PromoACTIVA questionnaires, an intersectoral typology model and an interview protocol. A parallel mixed analysis encompassing descriptive statistics and a 'framework analysis' will be performed. This study is expected to yield thorough and reliable insights into health promotion practices and omissions at the local level by focusing on key stakeholders, both individually and collaboratively. This information can enhance health promotion planning and improve its effectiveness, efficiency and contextual relevance. The development and testing of a methodology for the integration and interpretation of these data will ensure sustainable capacity building. Managers and practitioners interested in health promotion planning in the researched settings can benefit from a comprehensive map of the current state of their practices and insights into the starting points of collaboration. In addition, planners from other local settings will gain access to tools and methodologies to replicate and expand these maps to their own contexts. Engaging key stakeholders with experience working in or with primary care centres, public health organizations, primary and secondary schools, civil society organizations, and city councils was vital to ensure the study's relevance and feasibility.

Barriers and Challenges Affecting Quality Education (Sustainable Development Goal #4) in Sub-Saharan Africa by 2030

Education is a fundamental human right and a crucial tool for sustainable human capacity development, which can advance the economic growth of a country. Yet for many children in sub-Saharan Africa (SSA), quality education remains out of reach. This study aimed to identify the barriers and challenges to enacting Sustainable Development Goal 4: “Ensuring Inclusive, Equitable, and Quality Education and the Promotion of Lifelong Learning Opportunities for All”. Through a content analysis of the relevant literature, we identified three themes: funding constraints, access and inclusion, and teacher education. Regarding funding, issues of resource allocation, technical capacity, and accountability were identified as primary factors requiring intervention strategies to become fully realized in SSA. When exploring access and inclusion, we found that incorporating students with disabilities, gender disparities, physical barriers, and inadequate curriculum are essential factors limiting quality education in SSA. Finally, teachers’ conditions and training emerged as crucial challenges to reach quality pedagogy. Some SSA countries have improved their efforts for quality education, but these barriers and challenges continue to impact education for all children. A new perspective on mitigating these impediments can address several factors responsible for the exclusion of diverse groups from accessing quality education in the SSA region.

The impact of livelihood capital on sustainable livelihood capacity of farmers: evidence from Yunnan Province, China

ABSTRACT The quality and quantity of livelihood capital are crucial pathways to promote sustainable development in rural areas and enhance the quality of life for farmers. Based on on-site survey data from 612 households in four counties, including Yuanyang County in Yunnan Province, this study utilizes a multiple linear regression model to empirically analyse the impact of livelihood capital on farmers’ sustainable livelihood capabilities. The results indicate that livelihood capital is an effective means to enhance farmers’ sustainable livelihood capabilities. Natural capital, physical capital, human capital, financial capital, and social capital all exert significant positive influences on farmers’ sustainable livelihood capabilities, with regression coefficients of 0.211, 0.144, 0.315, 0.152, and 0.237, respectively. Additionally, the research reveals that livelihood risks play a significant mediating role between livelihood capital and farmers’ sustainable livelihood capabilities. This study provides important insights for formulating comprehensive rural development policies and offering targeted support measures.

Benefits and trade-offs of replacing inorganic fertilizer by organic substrate in crop production: A global meta-analysis

Replacing inorganic fertilizer with organic substrate contributes to sustainable agricultural production capacity. However, the effects of organic substitution regimes (OSR) on global crop productivity, soil carbon (C) and nitrogen (N) losses and biofertility as function of environmental variables have not been systematically quantified. Here, we have conducted a meta-analysis of these effects using field data (211 papers with 852 observations) collected around the world. Results indicated that OSR increased crop productivity (3.04 %) and soil biofertility (soil qMBC, qMBN, microbial richness, Shannon and functionality by 11.4 %, 21.1 %, 10.2 %, 3.95 %, and 38.5 %, respectively), and reduced soil N losses (N2O emissions, NH3 volatilization and soil N leaching by 26.5 %, 26.1 %, and 33.8 %, respectively), but increased CO2 emissions (19.4 %), and paddy fields CH4 emissions (41.2 %). N rate was an important factor influencing crop productivity and soil biofertility response to OSR, and crop productivity and soil biofertility had a greater positive response at moderate substitution rates in acid soil and long-term trials, but full substitution significantly decreased crop yield. Furthermore, the increase in soil biofertility and crop yield saturated in ~10–14 and ~ 22 years after organic substrate input. The emissions of CO2, CH4, and N2O significantly increased with increasing substitution rates, while the opposite was true for N leaching. The NH3 volatilization response to OSR presented a positive effect in acidic and coarse texture soil. OSR was more beneficial in mitigating soil C and N loss response (except CO2 emissions) in uplands compared to paddy fields. Therefore, implementation of OSR requires site-specific strategies to better achieve a balance between increasing crop production and reducing environmental benefits. Given that the OSR improvement varies depending on environmental variables, we propose a predictive model to initially assess the potential for OSR improvement. This study will provide scientific guidance on the reasonable application of organic substrate in agroecosystems.

INTELLIGENT MONITORING SYSTEM FOR REAL-TIME OPTIMIZATION OF ULTRA-PRECISION MANUFACTURING PROCESSES

In the realm of ultra-precision manufacturing, the minutiae of process control and material handling are paramount to achieving the highest levels of product quality and manufacturing efficiency. The industry faces a significant challenge: maintaining and enhancing the precision of manufacturing processes in real-time to ensure optimal output quality while minimizing waste and energy consumption. This challenge is compounded by the increasing complexity of products and the materials used, requiring ever more precise and adaptive manufacturing techniques. The importance of addressing this challenge cannot be overstated, as it directly impacts the competitiveness, sustainability, and innovation capacity of manufacturing firms. The development of an intelligent monitoring system that integrates advanced precision metrology techniques presents a promising solution to this problem. Such a system would enable real-time optimization of manufacturing processes, leveraging cutting-edge technologies and data analytics to dynamically adjust parameters for optimal performance. By doing so, it would not only enhance the precision and efficiency of manufacturing operations but also contribute significantly to sustainable manufacturing practices by reducing waste and energy consumption. This concept paper proposes the development of this intelligent monitoring system, outlining its potential impact on the ultra-precision manufacturing industry.
 Keywords: Ultra Precision, Monitoring, Processing, Real Time.

Evaluation of sustainable development capacity of water sources: a case study of China.

The issue of water scarcity has drawn attention from all over the world. The coordination of the interaction between ecological and environmental development of water sources and socio-economic development is currently an essential issue that needs to be solved in order to safeguard the water resources environment for human survival. In this essay, we suggest a paradigm for assessing the sustainable exploitation of water resources. First, three ecological, economic, and social factors are investigated. Twenty essential evaluation indexes are then constructed using the Delphi approach, along with an index system for assessing the potential of water sources for sustainable development. The weights of each evaluation index were then determined using the combination assignment approach, which was then suggested. The coupled degree evaluation model of the capability for sustainable development of water sources was then developed. In order to confirm the viability and validity of the suggested model, the model was used to assess the Liwu River water source's capacity for sustainable growth in the context of the South-North Water Transfer in Shandong, China. It is believed that the aforementioned study would serve as a helpful resource when evaluating the capacity of water sources for sustainable development.

Unraveling Island Economies through Organic Residue Analysis: The Case of Mocha Island (Southern Chile)

Abstract Biophysical conditions played a fundamental role in early human colonization of insular territories, particularly in food-producing societies dealing with limited resources and the challenges of maintaining a sustainable carrying capacity. Studies on past human colonization of small oceanic islands thus offer insights into economic plasticity, ecological impacts, and adaptation of early food-producing groups. On the coast of southern Chile, early evidence is dated to 950 cal BP of island colonization by coastal populations with mainland subsistence systems based on the exploitation of marine resources, along with gathering, managing, and cultivating plants and hunting terrestrial animals. Strikingly, the extent to which these mixed economies contributed to insular colonization efforts is largely unknown. Here we used organic residue analysis of ceramic artifacts to shed light on the subsistence of populations on Mocha Island in southern Chile. We extracted and analyzed lipids from 51 pottery sherds associated with the El Vergel cultural complex that flourished in southern Chile between 950 and 400 cal BP. Chemical and stable isotope analysis of the extracts identified a range of food products, including C3 and C4 plants and marine organisms. The results reveal the central role of mixed subsistence systems in fueling the colonization of Mocha Island.

Perceived nutrition needs of people experiencing disadvantage in utilizing support services: An Australian case study.

Individuals experiencing socio-economic disadvantage face higher rates of food insecurity and health disparities. This study explored the perceptions, attitudes, and knowledge of individuals providing nutrition services, and users of these services, to identify nutrition needs and inform potential strategies for addressing diet-related health inequities. Semi-structured interviews were conducted utilizing a phenomenological approach to explore lived experiences, beliefs, and perceptions influencing nutrition-related health. Key themes were derived by consensus among researchers using inductive thematic analysis. Twenty-two interviews were completed, which identified five themes. "Budgetary Constraints" was found to have a pervasive impact on all nutrition-related services. Secondly, diverse "Individual Clientele" was found to influence three overlapping themes pertaining to opportunities and limitations for "Knowledge and Skills," "Services, Resources and Staff," and the "Systems and Food Environment." Budgets directly impact the availability of services, resources, food provision, sustainability, and educational opportunities for staff, volunteers and service users. A live-in environment offers a platform to implement and evaluate targeted interventions to inform and enhance nutrition-related support services. Future interventions should address individual and systemic influences, prioritizing client-informed, cost-effective, sustainable capacity building for clients and staff. Recommendations for systemic and environmental influences include formalized staff training, peer-mentoring systems, and increasing client autonomy. This has the potential to improve food security for residents following their transition into independent living. Charitable system limitations underscore the need for broader systemic change, informed policymaking, and government intervention to effectively address the root causes of food insecurity and diet-related health inequities.

Unveiling the dynamics of self-regulated learning in project-based learning environments

Project-based learning (PBL) has been found to exert a positive influence on learners' academic achievements, while also fostering their intrinsic motivation and playing a crucial role in nurturing sustainable learning capacities. Understanding individual differences in self-regulated learning (SRL) within project-based foreign language learning can guide language teachers in delivering personalized instruction. This study utilized a blended learning management system to collect and analyze data on SRL from 95 learners enrolled in a project-based College English course. Through microanalysis, latent profile analysis (LPA), and epistemic network analysis (ENA), the study identified distinct learner profiles and traced their developmental trajectories in project-based language learning. The findings revealed that PBL facilitates the occurrence of SRL behaviors and strengthens connections across different regulation phases. Notably, learners with diverse profiles displayed variations in their SRL epistemic network structures and developmental trajectories. These results highlight the dynamic nature of SRL within the PBL context, underscoring the significance of considering individual differences and supporting learners’ evolving self-regulatory behaviors and strategies throughout their engagement in PBL activities. To enhance SRL in PBL, educators are encouraged to provide scaffolding support, promote help-seeking behaviors, and implement interventions targeting metacognitive processes and reflective practices.

Spatial differences of Sustainable Development Goals (SDGs) among counties (cities) on the northern slope of the Kunlun Mountains

The county (city) located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region, China in poverty alleviation. Its Sustainable Development Goals (SDGs) are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region. This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’ SDGs. The aim of this study is to quantitatively assess the progress of SDGs at the county (city) level on the northern slope of the Kunlun Mountains. The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains. Notable high scores of SDGs are observed in the central and eastern regions, whereas lower scores are prevalent in the western areas. The scores of SDGs, in descending order, are as follows: 62.22 for Minfeng County, 54.22 for Hotan City, 50.21 for Qiemo County, 42.54 for Moyu County, 41.56 for Ruoqiang County, 41.39 for Qira County, 39.86 for Lop County, 38.25 for Yutian County, 38.10 for Pishan County, and 36.87 for Hotan County. The performances of SDGs reveal that Hotan City, Lop County, Minfeng County, and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color. However, Hotan County, Moyu County, Qira County, and Yutian County show the poorest performance, as they lack SDGs with green color. It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries, sustained improvement in the capacity of rural governance, and the gradual improvement of social security system. These measures will facilitate the effective implementation of SDGs. Finally, this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes. In addition, these results hold significant reference value for assessing SDGs at the county (city) level, particularly in areas characterized by low levels of economic development.

Roles of international agricultural organizations in economy revamp: The Nigerian experience

The enduring problems of hunger and poverty in Nigeria are mostly the result of the agriculture sector's failure to have the desired positive impact on the populace. Hence, the study reviewed the roles of international agricultural organizations in economy revamp: the Nigerian experience. In retrospect, a few governments did make an effort to make a statement about agriculture through the creation of farm settlement programs and state-owned agricultural development organizations. However, welfare concerns more than ever served as justification for these activities rather than absolute economic need. The intervention of International Agricultural Organization (IAO) through various types of international agricultural programmes became significant by concentrating on sustainable agricultural practices, technology transfer, capacity building, and policy advocacy, modernizing agriculture, infrastructure development, policy advocacy and reforms, global agricultural trade , market access and trade, climate resilience, research and development, international research and collaboration, food security and agricultural development. To mention but a few, World Bank, International Fund for Agricultural Development and United State Agencies for International Development have contributed to agriculture revamp in the Nigerian economy. Challenges Affecting the Nigerian Agricultural Economy in International Business include: Infrastructure Deficiency, Limited Access to Finance, Inadequate Research and Development, Policy Instability and Inconsistency. It was presented in the study that by providing solutions to these challenges will contribute to a way forward to revamp agriculture in the Nigerian economy, making it more robust, sustainable, and inclusive.

Evaluating the impact of China's MSW sorting pilot policy on urban sustainable development: Empirical evidence from 95 cities.

The escalating challenge of municipal solid waste (MSW) critically tests the sustainable development capacities of urban centers. In response, China initiated pilot policies in 2017 aimed at bolstering MSW management. The effectiveness of these initiatives, however, necessitates empirical scrutiny. This study leverages panel data spanning 95 cities at the prefectural level or higher, covering the period from 2006 to 2020, to assess the impact of the MSW sorting pilot policy on urban sustainable development using a difference-in-differences approach. The research found that the MSW sorting pilot policy has significantly increased the processing volume of MSW, thereby enhancing the sustainable development capabilities of cities. Further, the study identifies augmented fixed asset investments as a key mechanism through which pilot cities have enhanced their MSW management capabilities. Notably, the policy's stimulative effects are more pronounced in less densely populated and economically lagging regions. These findings provide critical insights for developing nations in shaping MSW sorting strategies and advancing urban sustainability.

A qualitative study examining the impact of COVID-19 on capacity for sustainability of tobacco control programs

BackgroundThe coronavirus (COVID-19) pandemic presented a significant stressor on the public health system in the United States. While we know the immediate effects of the pandemic on public health programming, no literature has examined the resultant long-term impact on programmatic capacity for sustainability. This paper aims to identify the impact that the COVID-19 pandemic had on state tobacco control program’s capacity for sustainability.MethodsFrom December 2018 to January 2022, we conducted 46 technical assistance calls with tobacco control program employees from 11 states. Calls were audio recorded and professionally transcribed. We analyzed calls (n = 20) that took place during the COVID-19 pandemic. Thematic analysis focused on the impact the COVID-19 pandemic had on tobacco control program’s capacity for sustainability.ResultsWe identified six domains of sustainability that were impacted by COVID-19: (1) funding stability; (2) organizational capacity; (3) partnerships; (4) communication; (5) strategic planning; and (6) program adaptation.ConclusionsOur study is the first to identify the impact of the pandemic on capacity for sustainability of tobacco control programs. Having an understanding of COVID-19’s influence on these sustainability domains could help with future public health programming during significant public health events and emergency preparedness.ClinicalTrials.gov IdentifierNCT03598114.Registration dateRetrospectively registered 02-07-2018.

Global advances and smart innovations in supramolecular polymers

Supramolecular polymer represents a transformative frontier in materials science, reshaping polymer technology through unique assembly principles and dynamic properties. This manuscripts delves into the rapid advancements and future potential within this field, examining the theoretical foundations of supramolecular interactions and self-assembly that constitute these polymers. It progresses to explore state-of-the-art synthesis and design strategies that enhance the functionality of these complex materials. Particularly notable is the integration of supramolecular polymers with nanotechnology, fostering advancements that deepen our understanding and application in significant ways. The reported work showcases the adaptability of supramolecular polymers across various domains, including groundbreaking roles in drug delivery and tissue engineering within biomedical engineering, and as innovative agents for environmental purification and sensor development. The discussion also addresses current challenges such as stability, scalability, and reproducibility, central to transitioning from research to real-world applications. This state-of synthetic knowledge not only provides a comprehensive examination of the current status of supramolecular polymer research but also encourages further investigation and innovation, with the anticipation that these materials will revolutionize multiple industries with their inherent versatility and capacity for sustainability.

Action planning for building public health program sustainability: results from a group-randomized trial

BackgroundPublic health programs are charged with implementing evidence-based interventions to support public health improvement; however, to achieve long-term population-based benefits, these interventions must be sustained. Empirical evidence suggests that program sustainability can be improved through training and technical assistance, but few resources are available to support public health programs in building capacity for sustainability.MethodsThis study sought to build capacity for sustainability among state tobacco control programs through a multiyear, group-randomized trial that developed, tested, and evaluated a novel Program Sustainability Action Planning Model and Training Curricula. Using Kolb’s experiential learning theory, we developed this action-oriented training model to address the program-related domains proven to impact capacity for sustainability as outlined in the Program Sustainability Framework. We evaluated the intervention using a longitudinal mixed-effects model using Program Sustainability Assessment (PSAT) scores from three time points. The main predictors in our model included group (control vs intervention) and type of dosage (active and passive). Covariates included state-level American Lung Association Score (proxy for tobacco control policy environment) and percent of CDC-recommended funding (proxy for program resources).ResultsTwenty-three of the 24 state tobacco control programs were included in the analyses: 11 received the training intervention and 12 were control. Results of the longitudinal mixed-effects linear regression model, where the annual PSAT score was the outcome, showed that states in the intervention condition reported significantly higher PSAT scores. The effects of CDC-recommended funding and American Lung Association smoke-free scores (proxy for policy environment) were small but statistically significant.ConclusionThis study found that the Program Sustainability Action Planning Model and Training Curricula was effective in building capacity for sustainability. The training was most beneficial for programs that had made less policy progress than others, implying that tailored training may be most appropriate for programs possibly struggling to make progress. Finally, while funding had a small, statistically significant effect on our model, it virtually made no difference for the average program in our study. This suggests that other factors may be more or equally important as the level of funding a program receives.Trial registration.ClinicalTrials.gov, NCT03598114. Registered on July 26, 2018.

Child Health and the Neonatal-Perinatal Medicine Workforce: 2020-2040.

In 2022, 3.7 million children were born in the United States, of whom ∼600 000 received care from a neonatologist. The dramatic growth of the neonatal-perinatal medicine (NPM) workforce from 375 in 1975 to 5250 in 2022 has paralleled exploding clinical demand. As newborn medicine continues to push the limits of gestational viability and medical complexity, the NPM workforce must advance in numbers, clinical capability, scientific discovery, and leadership. This article, as part of an American Board of Pediatrics Foundation-sponsored supplement that is designed to project the future of the pediatric subspecialty workforce, features a discussion of the NPM workforce's history and current status, factors that have shaped its current profile, and some plausible scenarios of the workforce's needs and configuration in the future. In the article, we use an analytical model that forecasts the growth trajectory of the neonatologist workforce from 2020 through 2040. The model uses recent data on the number of neonatologists and clinical work equivalents per 100 000 children and projects future workforce supply under several theoretical scenarios created by modifying key baseline parameters. The predictions of this model confirm the need for a greater sustainable clinical capacity of the NPM workforce. Several future trends indicate that there may be geographic shortages of neonatologists, similar to expected shortages in other pediatric subspecialties. We do not address what an appropriate target for workforce size should be with the model or this article because the current and projected geographic variability in the NPM workforce and risk-appropriate care suggest that a uniform answer is unlikely.

Cyclic loading changes the taproot's tensile properties and reinforces the soil via the shrub's taproot in semi-arid areas, China

This study aimed to reveal the soil reinforcement by shrub root systems after repeated stress from external forces, such as high winds and runoff, for extended periods in the wind-hydraulic compound erosion zone. Using the widely distributed Shandong mine area soil and water-conserving plant species, Caragana microphylla, Hippophae rhamnoides, and Artemisia ordosica, cyclic loading tests were conducted on taproots of the three plant species (1–5 mm diameter) via a TY8000 servo-type machine to investigate the taproots’ tensile properties response to repeated loading–unloading using simulated high wind pulling and runoff scouring. Our study revealed that the tensile force was positively correlated with the root diameter but the tensile strength was negatively correlated under monotonic and cyclic loading of the three plants’ taproots. However, after cyclic loading, the three plant species' taproots significantly enhanced the tensile force and strength more than monotonic loading (P < 0.05). The taproot force–displacement hysteresis curves of the three plant species revealed obvious cyclic characteristics. Structural equation modeling analysis revealed that root diameter and damage method directly affected the taproots' survival rate, reflecting their sustainable soil reinforcement capacity. The damage method significantly influenced the soil reinforcement more than the root diameter. Our findings reveal that the plant species' taproots can adapt more to the external environment and enhance their resistance to erosion after natural low perimeter erosion damage, effectively inducing soil reinforcement. Particularly, the taproots of Caragana microphylla have superior soil-fixing ability and can be used for ecological restoration.

A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems

ABSTRACT Modeling of environmental phenomena is usually confounded by the influence of multiple factors existing at different time and spatial scales. Bayesian modeling is presumed to be the best approach for modeling such complex systems. Using a Bayesian hierarchical inferential framework, we employed a multi-source data approach (i.e. remote sensing derived anthropogenic, climatic and topographic set of variables) to model Carbon (C) stock in a managed plantation forest ecosystem in Zimbabwe’s Eastern Highlands. We therefore investigated how two related multi-data sources of new generation remote sensing derived ancillary information influence C stock prediction required for building sustainable capacity in C monitoring and reporting. Two mainstream models constructed from Landsat-8 and Sentinel-2 derived vegetation indices coupled with climatic and topographic covariates were used to predict C stocks using forest inventory data collected using spatial coverage sampling. A multi-source data driven approach to C stock prediction yielded slightly lower predictions for both the Landsat-8 ( 1 ≤ M g C h a − 1 ≤ 135 ) and the Sentinel-2 ( 1 ≤ M g C h a − 1 ≤ 130 ) -based C stock models than C stock predictions published in related studies. Distance to settlements ( D I S T ) and N D V I are significant predictors of C stock with the Sentinel-2-based C stock model outperforming its Landsat-8 model variant in terms of prediction accuracy. The Sentinel-2-based C stock model resulted in a 1.17 MgCha−1 Root Mean Square Error (RMSE) with a ( 1 ≤ M g C h a − 1 ≤ 4 ) 95% credible interval whilst the Landsat-8-based C stock counterpart gave a 2.16 MgCha−1 RMSE with a ( 2 ≤ M g C h a − 1 ≤ 4 ) associated 95% credible interval. Despite a multi-source data prediction approach to the modeling of C stock in a managed plantation forest ecosystem set-up, the issues of scale still play a major role in modeling spatial variability of natural resource variables. Both climatic and topographic derived ancillary data are not significant predictors of C stock under the present modeling conditions. Accurate and precise accounting of C stock for climate change mitigation and action can best be done at landscape scales rather than local scale as the scale of variation for climate-change-related variables vary at larger spatial scales than the ones utilized in the present study.