Climate Change Adaptation Strategies Research Articles

Set when the sun rises, rise when the sun sets: Climate change adaptive strategies of small holder farmers in Vietnam

Set when the sun rises, rise when the sun sets: Climate change adaptive strategies of small holder farmers in Vietnam

Why do rural youth migrate? Evidence from Colombia and Guatemala

Migration, from rural to urban settings is a common phenomenon in Latin America, due to social, economic, political, and other factors. Young people in search of economic and educational opportunities, financial, and social stability, have been migrating to larger urban centers, thus crafting important shifts in rural labor, generational transfer, and domestic economies. Through a systematic literature review of scientific literature, and documents from public institutions and international organizations, published between 2012 and 2022, this article addresses rural–urban migration of youth in Colombia and Guatemala’s cattle sector, particularly identifying (i) driving factors, (ii) their impacts on cattle farming, and (iii) public policies implemented to counteract prejudicial effects. Results show that unemployment, lack of educational opportunities, and insecurity are the main reasons for youth migration to cities or abroad, with Mexico, the United States, and Spain being the most common destinations. Additionally, impacts on the cattle sector include shortage of labor and a perfectible generational transfer, hindering the modernization of the industry and investments in climate change adaptation and mitigation strategies. Despite various implemented public policies, the results are partial, and the issue of accelerated youth migration remains relevant. Consequently, without more effective measures adopted by national governments, the cattle sector will lag behind its regional and international competitors, deterring the achievement of the Sustainable Development Goals. As the main contribution of the study, the analysis of migration is highlighted based on its effects on a specific economic sector and not focused on its causes, as evidenced in a wide range of literature.

Analysis of Regional Government Capacity Development: Mapping Research Topics

The study analyzes governments' adaptive capacity using a topic-mapping method based on 811 Scopus-indexed articles using CiteSpace. The analysis identified eight key research groups that highlight the importance of frameworks like local adaptive capacity. It emphasizes the need for better operationalization of these frameworks, improved stakeholder cooperation, and the development of effective adaptation and resilience strategies for climate change. This research significantly enhances our understanding of how research topics relate to government adaptability. By identifying strengths and weaknesses in government adaptation capabilities, the study provides valuable insights for stakeholders to design effective policies and strategies for social and environmental changes. In conclusion, the research deepens our understanding of government adaptation capabilities and encourages efforts to improve their adaptability in the face of social and environmental changes.

Photovoltaics Energy Potential in the Largest Greek Cities: Atmospheric and Urban Fabric Effects, Climatic Trends Influences and Socio-Economic Benefits

This comprehensive study explores the influence of aerosols and clouds on solar radiation in the urban environments of nine of Greece’s largest cities over the decade from 2014 to 2023. Utilizing a combination of Earth Observation data, radiative transfer models, and geographic information systems, the research undertook digital surface modeling and photovoltaic simulations. The study meticulously calculated the optimal rooftop areas for photovoltaic installation in these cities, contributing significantly to their energy adequacy and achieving a balance between daily electricity production and demand. Moreover, the research provides an in-depth analysis of energy and economic losses, while also highlighting the environmental benefits. These include a reduction in pollutant emissions and a decrease in the carbon footprint, aligning with the global shift towards local energy security and the transformation of urban areas into green, smart cities. The innovative methodology of this study, which leverages open access data, sets a strong foundation for future research in this field. It opens up possibilities for similar studies and has the potential to contribute to the creation of an updated, comprehensive solar potential map for continental Greece. This could be instrumental in climate change mitigation and adaptation strategies, thereby promoting sustainable urban development and environmental preservation.

Bayesian hierarchical model for bias-correcting climate models

Abstract. Climate models, derived from process understanding, are essential tools in the study of climate change and its wide-ranging impacts. Hindcast and future simulations provide comprehensive spatiotemporal estimates of climatology that are frequently employed within the environmental sciences community, although the output can be afflicted with bias that impedes direct interpretation. Post-processing bias correction approaches utilise observational data to address this challenge, although they are typically criticised for not being physically justified and not considering uncertainty in the correction. This paper proposes a novel Bayesian bias correction framework that robustly propagates uncertainty and models underlying spatial covariance patterns. Shared latent Gaussian processes are assumed between the in situ observations and climate model output, with the aim of partially preserving the covariance structure from the climate model after bias correction, which is based on well-established physical laws. Results demonstrate added value in modelling shared generating processes under several simulated scenarios, with the most value added for the case of sparse in situ observations and smooth underlying bias. Additionally, the propagation of uncertainty to a simulated final bias-corrected time series is illustrated, which is of key importance to a range of stakeholders, such as climate scientists engaged in impact studies, decision-makers trying to understand the likelihood of particular scenarios and individuals involved in climate change adaption strategies where accurate risk assessment is required for optimal resource allocation. This paper focuses on one-dimensional simulated examples for clarity, although the code implementation is developed to also work on multi-dimensional input data, encouraging follow-on real-world application studies that will further validate performance and remaining limitations. The Bayesian framework supports uncertainty propagation under model adaptations required for specific applications, providing a flexible approach that increases the scope of data assimilation tasks more generally.

Complex network analysis of climate and landscape satellite data to explore spatio-temporal patterns in urban environment: the case of Athens

Motivated by the significance and complexity of exploring spatiotemporal patterns - regions within an urban environment, particularly in the context of extreme heat events- this research analyzes meteorological time series through complex network analysis. The data collected for the examination area is focused on Athens, Greece, and covers sections of the city’s urban landscape. The data was obtained from the Copernicus observation component of the European Union. Initially, the time series are transformed into networks using correlation network methodology, followed by examination of the discriminative capability of the topological measures of networks degree and modularity as community - region detection methods. Of particular interest is that our findings suggest that the proposed complex network analysis can lead to the extraction of spatial urban regions closely linked to land use and building heights in corresponding areas. These results may help investigate the spatial variability of heat in the urban environment and inform urban planning and management strategies in policy decision-making regarding the intensity of urban heat throughout the city and the planning of climate change adaptation strategies.

Climate change adaptation and disaster risk reduction in South Africa’s local municipal plans

Climate change adaptation (CCA) and disaster risk reduction (DRR) agendas converge in their priorities to reduce social vulnerability and enhance resilience in the face of climate change. However, they are often treated separately in practice and in local government plans. In South Africa, while municipalities are legally mandated to develop Integrated Development Plans (IDPs) and Disaster Management Plans (DMPs), this is not the case for CCA. In this study, we assessed the engagement with, and linkages between, CCA and DRR in 20 local municipalities from contrasting socio-economic contexts in the Eastern Cape Province of South Africa by conducting an analysis of their IDPs, DMPs and any plans or strategies pertaining to CCA. Our results show that none of the municipalities had separate CCA strategies, with only two municipalities complying with the mandate to have DMPs. While municipalities mostly included CCA- and DRR-related activities in their IDPs, there were no explicit linkages made between the two approaches. Apparent was the prioritisation of bolstering infrastructure with little attention towards addressing social vulnerability and building resilience. Overall, little has been done to prioritise or link CCA and DRR at the local government level, especially in the context of addressing social vulnerability and building resilience. These findings suggest the need for South Africa to implement and promulgate legal instruments, policies and resources to capacitate local municipalities in mainstreaming and integrating CCA and DRR.

Indigenous Climate Change Adaptation Strategies among Crop Farmers in Osun State, Nigeria

Indigenous Climate Change Adaptation Strategies among Crop Farmers in Osun State, Nigeria

Why Do Farmers Not Irrigate All the Areas Equipped for Irrigation? Lessons from Southern Africa

The reliance on rainfed agriculture exposes southern Africa to low agricultural productivity and food and nutritional insecurity; yet, the region is endowed with vast irrigation potential. Extreme weather events including drought, floods, and heatwaves exacerbate the existing challenges, underscoring the need to improve agricultural water management as a climate change adaptation strategy. This mixed-methods review followed the Search, Appraisal, Synthesis, and Analysis (SALSA) framework to explore the irrigation opportunities and challenges in southern Africa by critically analysing the drivers and constraints of irrigation systems in southern Africa. The premise is to understand the reasons behind the abandonment of some of the areas equipped for irrigation. In cases where irrigation systems are present, the study assesses whether such technologies are effectively being used to generate the expected agricultural productivity gains, and what factors, in cases where that is not the case, constrain farmers from fully using the existing infrastructure. The review further discusses the enabling environment supporting irrigated agriculture and the role of gender in irrigation development. An assessment of the role of women in agriculture on the share of land equipped for irrigation to total cultivated land area, as well as on the proportion of the area equipped for irrigation versus the area that is actually irrigated is conducted. The review found a divergence between countries’ land areas equipped for irrigation and actually irrigated areas. Specific to irrigation expansion, the review rebuts the notion that increasing the irrigated area increases crop production and ensures food security. This may not always be true as irrigation development needs to consider the impacts on other closely linked water and energy sectors through transformative approaches like the water–energy–food (WEF) nexus and scenario planning. If well-planned and implemented, sustainable irrigated agriculture could be catalytic to transforming southern Africa’s food system to be inclusive, equitable, socially just, and resilient, benefiting people and the planet.

Applying Digital Technology to Understand Human Experiences of Climate Change Impacts on Food Security and Mental Health: Scoping Review.

The global impact of climate change ranges from intense heatwaves to extreme weather events that endanger entire ecosystems and people's way of life. Adverse climate change events place undue stress on food and health systems, with consequences for human food security and mental health status. Ubiquitous digital devices, such as smartphones, have the potential to manage existing and emerging climate-related crises, given their ability to enable rapid response, instant communication, and knowledge sharing. This scoping review aimed to identify digital apps being used to capture or address climate change impacts on food security and mental health to inform the development of a digital citizen science initiative. A scoping review was conducted using 3 peer-reviewed databases (PubMed, IEEE Xplore, and Web of Science) and manual gray literature searches of relevant organizational (ie, governmental and nonprofit) websites to identify articles and reports published between January 2012 and July 2023. Three separate searches were conducted in each database to identify digital apps focused on climate change and (1) food security, (2) mental health, and (3) food security and mental health. Two reviewers conducted initial screening, with a third reviewer resolving any discrepancies. Articles focused on climate change impacts on wildlife or agriculture (ie, not human food security) were excluded. Full-text screening was conducted for shortlisted articles, and a final data abstraction table was generated, summarizing key app features, contextual factors, and participant involvement. From the 656 records screened, 14 digital apps met the inclusion criteria. The food security apps (n=7, 50%) aimed to capture traditional knowledge to preserve food systems, conduct food security assessments, and aid users in decreasing food insecurity risk. The mental health apps (n=7, 50%) assessed climate change-related stress and provided users with coping strategies following adverse weather events. No digital apps examined the intersection of climate change, food security, and mental health. Key app features included user-to-user communication (n=5, 36%), knowledge databases (n=5, 36%), data collection and analysis (n=3, 21%), gamification (n=1, 7%), and educational resources (n=2, 14%) to address climate change impacts on food security or mental health. In total, 3 approaches to participant involvement were used across studies, including contributory (n=1, 7%), collaborative (n=1, 7%), and cocreative (n=1, 7%) approaches, to ensure the relevance and use of digital apps. Most digital apps identified provided a service to citizens to either prevent adverse climate change-related health impacts or manage these effects following an acute event or a natural disaster. The capacity of ubiquitous digital tools to enable near real-time communication, the involvement of various stakeholder groups, and their ability to share relevant educational resources in a timely manner are important for developing tailored climate change adaptation and mitigation strategies across jurisdictions.

Regional Climate Change and Drought Dynamics in Tunceli, Turkey: Insights from Drought Indices

Global warming and climate change are causing temperatures to rise, which is having a negative impact on water resources. Climate change is a worldwide problem that affects and will continue to affect the frequency and intensity of natural disasters in many regions of the world. Tunceli region in Turkey, which until 10 years ago was known as an environmentally friendly city with abundant water resources and frequent rainfall, is experiencing a decrease in precipitation during the snowy winter season. This situation has made the investigation of climate change impacts an important issue in the region. Therefore, effective climate change adaptation strategies need to be developed. To determine these strategies, in this study, we assessed long-term drought conditions using multiple drought indices such as Standardized Precipitation Index (SPI), Reconnaissance Drought Index (RDI), Normal Precipitation Index (PNI), and Aridity Index (AI). The SPI and RDI analyses were performed in annual reference periods on a time scale of 3, 6, 9, and 12 months using temperature, precipitation, and evaporation data. Consequently, the SPI and RDI results were compared, and both indices show similar behavior in dry, wet, and normal seasons. Nevertheless, RDI shows less variation between different time scales, which is an advantage over SPI and is probably due to the inclusion of potential evapotranspiration in RDI. The variations in PNI between humid and dry sub-humid categorizations throughout the years, combined with the AI results, indicate that the Tunceli region predominantly experiences a climate ranging from dry sub-humid to semi-arid. This study could help decision-makers take effective measures to become more resilient to climate change in temperate climate regions and take important steps toward sustainable water resources management.

Building information modeling (BIM) driven performance-based construction for the optimization of sustainable and smart structures development

Given the escalating apprehensions regarding climate change and environmental risks, the construction industry is confronted with the crucial task of guaranteeing the enduring structural robustness of buildings. Building Information Modeling (BIM) has emerged as an innovative tool to tackle these challenges effectively and enhance the performance of building structures processes by developing intelligent and sustainable structures. A comprehensive methodology was utilized to assess the relationships between the BIM factors and their impacts on smart and sustainable structure development by conducting a literature overview, quantitative analysis, exploratory factorial analysis (EFA), structural equation modeling (SEM), and predictive relevance findings. The findings show positive correlations between the implementation of BIM and the elements integral to smart and sustainable structure development. This study investigates the effects of BIM-driven environmental risk assessment, BIM-enabled energy efficiency, environmental performance, climate change adaptation strategies with BIM, and real-time monitoring and maintenance on the effectiveness of smart and sustainable structures development. The BIM-driven environmental risk assessment significantly impacts the sustainable and smart structures development with B = 0.360, followed by the real-time monitoring and maintenance with BIM with 0.316. This study provides the contemporary knowledge base by providing insights into BIM's transformative abilities in shifting sustainable and smart construction practices. The outcomes offer widespread insights to enterprise specialists interested in enhancing task effects and organizing sustainable and environmentally aware built surroundings. The growing popularity of BIM has implications for the future growth of the construction industry in phrases of ecologically smart and sustainable structure development.

Heritage Resilience and Identity: Lesson from Trabocchi Coast about Climate Change Adaptation Strategies

Climate change and land use are major drivers of environmental and socioeconomic transformations in landscapes and in coastal areas. The objective of this study was to present an interdisciplinary and participatory research methodology for analysing the evolutionary process of a coastal case study, the Trabocchi Coast in the Abruzzo Region (Italy), from multiple perspectives, including climate change, technological history, conservation protocols, and social function. The goal was to assess the resilience of these coastal structures, i.e., their ability to cope and adapt to changes while maintaining their identity and recognition. The adopted approach combined qualitative and quantitative data from the meteorological analyses, literature review, and field investigations involving a participatory workshop, from which a significant portion of the analysed results presented here emerged. The results indicate that the Trabocchi Coast has undergone significant changes in recent decades, posing a serious threat to cultural heritage due to climate change (sea-level rise, coastal erosion, storms, flooding and salinisation), changes in use and mass tourism. However, these changes have also presented challenges and opportunities for coastal development, stimulating diverse resilient responses from local communities, ranging from resistance to innovation. The paper discusses the factors that may make the Trabocchi Coast a model of resilience considering these changes. This is supported by the role of local institutions as guarantors of the cultural heritage value of the trabocchi in that specific landscape context, as evidenced by the approval of the “Costa dei Trabocchi Special Territorial Project” by the Abruzzo Region in 2023.

Assessment of the financial performance and sustainability of water management companies in Spain from a quantitative and technological perspective (2018-2022)

Introduction: Water collection, treatment and distribution companies in Spain face challenges due to climate variability, obsolete infrastructures and the need for efficient water resource management. This study provides a comprehensive and up-to-date analysis of the financial and operational performance of the sector, addressing climate change adaptations and innovative technologies, areas little explored in previous studies. Methodology: A quantitative analysis of financial and operational data from official sources was carried out, complemented by a literature review on water resources management and technological trends. Includes financial data collection and analysis, profitability assessment, and analysis of climate change adaptation technologies and strategies. Results and discussions: An improvement in the profitability of the sector was observed, due to efficient management and modernisation of infrastructures. Public-private collaboration and the adoption of innovative technologies, such as desalination and reuse of recycled water, are crucial to address climate challenges and ensure sustainability. It also highlights the need for a global approach to water management due to the externalisation of water stress. Conclusions: In conclusion, it emphasises innovation and collaboration to improve water management in Spain, ensuring its sustainability and future resilience.

Climate Change Adaptation Strategies and Its Impact on Household Vulnerability to Food Insecurity: A Micro-Level Evidence from Southwest Ethiopia

Smallholder farmers in Ethiopia face increasing challenges from climate change and variability, which threaten their food security and livelihoods. This study examines how adopting single and combined climate change adaptation practices affects their vulnerability to food insecurity in Bench Maji Zone, southwest Ethiopia. Through multistage sampling, data were gathered from 390 rural households in four climate-prone districts. The study examines the impacts resulting from both individual and combined implementations of adaptation techniques. These techniques encompass crop management practices, soil and water conservation measures, and livelihood portfolio diversification strategies. The study employed the multinomial endogenous treatment effect regression model to address selection bias and endogeneity resulting from various sources of heterogeneity, whether observed or unobserved. The results show that farmers who adopted adaptation practices were less vulnerable to food insecurity than those who did not. The study also finds that adopting multiple practices has a more significant impact than adopting single practices. Our findings suggest that implementing climate change adaptation strategies can increase the resilience of smallholder farmers in the study area and decrease their vulnerability to food insecurity. The study recommends supporting farmers in adopting these strategies through research and development, information dissemination, and collaborations among farmers, researchers, and extension services.

Coupled Climate–Environment–Society–Ecosystem Resilience Coordination Analytical Study—A Case Study of Zhejiang Province

The aim of this paper is to evaluate the coupled coordination degree of climate, environmental, socio-economic, and ecosystem resilience in Zhejiang Province from 2010 to 2022 and to propose optimization strategies. With the increasing impact of global climate change, the need to explore the construction of resilient cities and sustainable development models has become increasingly pressing. Assessing the coupled coordination among climate, environment, socio-economic, and ecosystem resilience aids in suggesting more precise and effective social and ecological recovery strategies in the context of climate change. Zhejiang Province, serving as a model for China’s urbanization development, demonstrates a balance between the natural environment, economic growth, and social development but still suffers from ecological and environmental pollution problems. In this study, an evaluation system was constructed utilizing the entropy weight method (EWM), and the coupled coordination among climate, environmental, socio-economic, and ecosystem resilience in Zhejiang Province was empirically analyzed over the period from 2010 to 2022. The results show that (1) the climatic-environmental, socio-economic, and ecological subsystems of cities in Zhejiang Province generally show an upward trend, despite fluctuations over different periods. (2) The climatic-environmental-social-ecological system resilience of the cities in Zhejiang Province increased as a whole, and six cities (Hangzhou: 0.805, Quzhou: 0.811, Huzhou: 0.827, Taizhou: 0.829, Wenzhou: 0.856, and Jinhua: 0.857) reached the “well-coordinated” level by 2022; however, the coupling coordination of Jiaxing City and Lishui City decreased from good to intermediate coordination. (3) The coupled coordination degree of climatic-environmental-social-ecological system resilience generally stagnated in each city during 2020–2022. Thus, the climate change adaptation strategy proposed in this study aims to enhance urban adaptive capacity to climate change impacts by controlling pollutant emissions, restoring ecosystems, optimizing industrial structures, and designing urban green spaces.

Risk reduction through managed retreat? Investigating enabling conditions and assessing resettlement effects on community resilience in Metro Manila

Abstract. Managed retreat, a key strategy in climate change adaptation for areas with high hazard exposure, raises concerns due to its disruptive nature, vulnerability issues and overall risk in the new location. On-site upgrading or near-site resettlement is seen as more appropriate and effective compared to a relocation far from the former place of living. However, these conclusions often refer to only a very limited set of empirical case studies or do not sufficiently consider different context conditions and phases in resettlement. Against this background, this paper examines the conditions and factors contributing to community resilience of different resettlement projects in Metro Manila. In this urban agglomeration reside an estimated 500 000 informal households, with more than 100 000 occupying high-risk areas. In light of the already realized and anticipated climate change effects, this precarious living situation exposes families, already socio-economically vulnerable, to an increased risk of flooding. The response of the Philippine government to the vexing problem of informal dwellers has been large-scale resettlement from coasts, rivers and creeks to state-owned sites at urban fringes. However, only very few resettlement projects could be realized as in-city projects close to the original living space. The study employs a sequential mixed-method approach, integrating a large-scale quantitative household survey and focus group discussions (FGDs) for a robust comparison of resettlement types. Further, it reveals community-defined enabling factors for managed retreat as climate change adaptation strategy. Results indicate minor variations in well-being conditions between in-city and off-city resettlement, challenging the expected impact of a more urban setting on resilience. Instead, essential prerequisites for resettlement involve reduced hazard exposure, secure tenure and safety from crime. Beyond these essential conditions, social cohesion and institutional support systems emerge as significant influencers for the successful establishment of well-functioning new settlements. With this findings, the study contributes to the expanding body of literature on managed retreat, offering a comprehensive evaluation based on extensive datasets and providing entry points for the improvement of retreat as a climate change adaptation strategy.

Mega Ports’ Mitigation Response and Adaptation to Climate Change

Mega ports, defined in this study as those handling over 5 million TEUs annually, are major hubs within the dynamic framework of global trade, influencing both economic and environmental landscapes. This study identifies climate change as the foremost environmental concern for these ports, necessitating urgent and strategic responses. Through comprehensive research, this paper explores the main Climate Change Mitigation (CCM) strategies and evaluates their implementation across mega ports worldwide. Findings indicate widespread adoption of certain strategies, such as setting greenhouse gas (GHG) reduction targets and providing on-shore power supply (OPS), while also identifying challenges, particularly in implementing environmentally differentiated port fees. Additionally, this paper outlines key strategies for climate change adaptation (CCA) in ports. The results of this research offer insights into sustainable practices and collaborative efforts to confront climate change challenges effectively. These findings have the potential to significantly improve maritime policy and ship management strategies.

POULTRY FARMERS’ KNOWLEDGE LEVEL OF CLIMATE CHANGE ADAPTATION STRATEGIES IN IMO STATE, NIGERIA

This study investigated poultry farmers’ knowledge level of climate change adaptation strategies in Imo State, Nigeria. The specific objectives identified the various sources of agricultural information available to the farmers on climate change in the study area, examined the knowledge level of the poultry farmers on climate change adaptation strategies; ascertained various climate change adaptation strategies employed by poultry farmers in the area. A multi-staged sampling technique was employed in sampling 120 poultry farmers that took part in the survey. A set of questionnaires was used to get responses from farmers. Both descriptive and inferential statistics were used to analyze the data. Findings from the study showed that fellow farmers were the major source of information on agriculture for 90% of the poultry farmers. while good housing system (100%), adequate extensive poultry management system (100%) and immediate vaccination of birds (100%) ranked high on the table of climate change adaptation strategies that poultry farmers utilize. Also, with a grand mean of 2.52, above the benchmark mean of 2.00, the poultry producers demonstrated a high level of knowledge regarding measures for adapting to climate change. The hypothesis result indicated a strong relationship between the farmers' sources of information on strategies for adapting to climate change and their level of knowledge with these tactics. The study came to the conclusion that poultry farmers had a high level of knowledge about different climate change adaptation strategies, primarily from other farmers. As a result, it was recommended that the government increase the availability of extension services to poultry farmers so that they can obtain scientifically verified and tried-and-true information on adaptation strategies for increased and sustainable knowledge in the study area.

Impact of common shade tree species on microclimate and cocoa growth in agroforestry systems in Ghana

Climate change is a growing threat to agriculture globally, with most substantial impacts expected in tropical smallholder systems such as cocoa farms in West Africa. Cocoa agroforestry is widely believed to enhance resilience to climatic extremes due to protection and a favourable microclimate under the shade trees. Morphological traits of many locally used shade tree species and their specific contribution to microclimate for climate-resilient cocoa production remain unclear. Therefore, aboveground morphology and sub canopy microclimate of eight common shade tree species were investigated in cocoa agroforestry systems in the Ahafo region, Ghana. Additionally, the growth of cocoa trees in three different distance zones to the shade tree stem was measured. The eight different shade tree species exhibited considerable variation in their impact on microclimate and cocoa growth. M. indica and M. excelsa allowed lowest light transmission, with the highest microclimatic buffering effect, i.e., reducing vapour pressure deficit and daily fluctuations of temperature and relative humidity. Cocoa trees around M. lucida and F. capensis were the highest in growth, characterized by height and stem diameter. However, a universally superior shade tree species could not be identified implying the need for shade tree diversity allowing various microclimatic conditions within an agroforestry system to spread risk of climate extremes. Cocoa tree growth was more affected by distance to the shade tree than by shade tree species, resulting in enhanced growth with distance to the stem. These findings provide a better understanding of species-related differences on cocoa growing conditions and climate change adaptation strategies.