Submitted:
13 February 2026
Posted:
13 February 2026
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Abstract
Keywords:
1. Introduction
2. Literature Review
2.1. Conceptual Framework

2.2. Definition and Classification of Fruit Resources
2.3. Pathways of Contribution to Food and Nutrition Security
2.4. Livelihoods and Income Diversification Pathways
2.5. Contributions to Biodiversity Conservation
2.6. Climate Resilience and Ecosystem Services
2.7. Integration of Fruits Within Agricultural Landscapes
3. Methods
3.1. Review Design
3.2. Search Strategy
3.3. Eligibility Criteria
3.4. Study Selection
3.5. Data Extraction
3.6. Quality Assessment
4. Results: Overview of the Evidence Base
4.1. Temporal and Spatial Distribution of Studies
4.2. Country-Level Evidence
4.3. Dominant Research Themes and Methodologies
4.4. Key Species and Fruit Types Studied
4.5. Contributions of Fruits to Food and Nutrition Security
4.5.1. Dietary Diversity and Micronutrient Intake
4.5.2. Seasonal Food Availability and Hunger Mitigation
4.5.3. Role in Child, Women, and Household Nutrition
4.5.4. Traditional Food Systems and Cultural Relevance
4.6. Livelihood and Economic Contributions
4.6.1. Income Generation and Market Participation
4.6.2. Gendered Roles in Harvesting, Processing, and Marketing
4.6.3. Value Chains and Commercialisation Potential
4.6.4. Risk Buffering During Climate and Economic Shocks
4.7. Environmental and Ecosystem Contributions
4.7.1. Biodiversity Conservation and Habitat Connectivity
4.7.2. Soil Health, Pollination, and Ecosystem Services
4.7.3. Climate Change Adaptation and Mitigation Roles
4.7.4. Integration with Agroforestry and Landscape Restoration
4.8. Constraints and Trade-Offs
4.8.1. Access, Tenure, and Governance Challenges
4.8.2. Overharvesting and Sustainability Concerns
4.8.3. Market Access and Value Chain Limitations
4.8.4. Knowledge Gaps and Policy Disconnects
4.9. Comparative Insights Across Countries
4.9.1. Similarities and Differences
4.9.2. Policy, Institutional, and Ecological Drivers
4.9.3. Context-Specific vs. Transferable Lessons
5. Discussion
5.1. Alignment with Food Systems, Agroecology, and Landscape Approaches
5.2. Implications for Nutrition-Sensitive Agriculture and Climate-Smart Food Systems
5.3. Positioning Forest and Wild Fruits in Agricultural Development Agendas
5.4. Knowledge Gaps and Research Priorities
5.4.1. Understudied Species and Regions
5.4.2. Methodological Limitations
5.4.3. Needs for Longitudinal, Nutrition, and Gender-Focused Studies
5.4.4. Opportunities for Interdisciplinary Research
5.4.5. Policy and Practice Implications
5.4.6. Recommendations for Agricultural, Forestry, and Nutrition Policies
5.4.7. Integration into National Food System Strategies
5.4.8. Role of Extension Services and Community-Based Management
5.4.9. Implications for Sustainable Development Goals (SDGs 2, 13, and 15)
Conclusion
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Abbreviations
| Acronym | Full Meaning |
| AGRIS | International System for Agricultural Science and Technology |
| AI | Artificial Intelligence |
| CPS | Cyber-Physical Systems |
| FAO | Food and Agriculture Organisation of the United Nations |
| GIS | Geographic Information Systems |
| ICT | Information and Communication Technology |
| IEEE | Institute of Electrical and Electronics Engineers |
| IoT | Internet of Things |
| LiDAR | Light Detection and Ranging |
| LoRa | Long Range (low-power wireless communication) |
| LoRaWAN | Long Range Wide Area Network |
| LTE | Long-Term Evolution |
| MDPI | Multidisciplinary Digital Publishing Institute |
| NB-IoT | Narrowband Internet of Things |
| NTFPs | Non-Timber Forest Products |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| SDG | Sustainable Development Goal |
| SDGs | Sustainable Development Goals |
| SFM | Sustainable Forest Management |
| UAV | Uncrewed Aerial Vehicle |
| UN | United Nations |
| WSN | Wireless Sensor Network |
| 4G | Fourth Generation Mobile Network |
| 5G | Fifth Generation Mobile Network |
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| Search Theme | Keywords / Synonyms Included | Boolean Search String (Example) | Purpose / Relevance |
|---|---|---|---|
| Smart Forest / Digital Forestry | smart forest, smart forestry, digital forestry, precision forestry | (“smart forest” OR “smart forestry” OR “digital forestry” OR “precision forestry”) | Captures studies focused on digitised forest management and monitoring systems |
| Forest 4.0 and Forest 5.0 | Forest 4.0, Forest 5.0, Industry 4.0 forestry, intelligent forestry | (“Forest 4.0” OR “Forest 5.0” OR (“Industry 4.0” AND forestry) OR “intelligent forestry”) | Identifies emerging paradigms and frameworks of advanced forestry digitisation |
| IoT in Forest Monitoring | IoT, Internet of Things, sensor network, wireless sensor networks (WSN) | (“IoT” OR “internet of things” OR “wireless sensor network*” OR WSN OR “sensor network*”) AND (forest* OR forestry) | Retrieves forest-related IoT monitoring systems, sensor deployments, and field implementations |
| Forest Monitoring Systems | forest monitoring, forest surveillance, forest sensing, real-time monitoring | (“forest monitoring” OR “forest surveillance” OR “forest sensing” OR “real-time monitoring”) AND (IoT OR sensor* OR WSN) | Focuses on operational monitoring and surveillance technologies |
| Wildfire Detection and Fire Management | wildfire detection, forest fire, fire monitoring, fire prediction, early warning | (“wildfire detection” OR “forest fire” OR “fire monitoring” OR “fire prediction” OR “early warning system*”) AND (AI OR IoT OR “machine learning” OR sensor*) | Captures detection, prediction, and early warning in fire management studies |
| Artificial Intelligence and Machine Learning | AI, artificial intelligence, machine learning, deep learning, neural networks | (“artificial intelligence” OR AI OR “machine learning” OR “deep learning” OR “neural network*”) AND (forest* OR wildfire* OR forestry) | Identifies AI-driven monitoring and analytics applications in forestry |
| Remote Sensing + IoT Integration | remote sensing, satellite, UAV, drone, LiDAR, GIS | (“remote sensing” OR satellite OR UAV OR drone OR LiDAR OR GIS) AND (IoT OR sensor* OR “smart forest”) | Captures hybrid monitoring approaches combining satellite/drone data with IoT sensors |
| Digital Twin Forestry | digital twin, virtual twin, cyber-physical systems (CPS) | (“digital twin” OR “virtual twin” OR “cyber physical system*” OR CPS) AND (forest* OR forestry OR ecosystem*) | Identifies studies modelling forests using digital twin concepts |
| Biodiversity Monitoring | biodiversity monitoring, wildlife monitoring, species detection, habitat monitoring | (“biodiversity monitoring” OR “wildlife monitoring” OR “species detection” OR “habitat monitoring”) AND (IoT OR sensor* OR AI OR “remote sensing”) | Focuses on biodiversity and ecological monitoring supported by digital technologies |
| Carbon Sequestration Monitoring | carbon sequestration, carbon stock, biomass estimation, forest carbon | (“carbon sequestration” OR “carbon stock*” OR biomass OR “forest carbon”) AND (IoT OR sensor* OR AI OR “remote sensing”) | Captures forest carbon quantification and monitoring systems |
| Sustainable Forest Management | sustainable forest management, SFM, ecosystem management, conservation forestry | (“sustainable forest management” OR SFM OR “ecosystem management” OR conservation) AND (IoT OR AI OR sensor* OR “digital twin”) | Targets forest management strategies enabled by digital tools |
| Environmental Monitoring in Forests | microclimate monitoring, soil moisture, temperature, humidity, air quality | (“soil moisture” OR humidity OR temperature OR microclimate OR “air quality”) AND (forest* OR forestry) AND (IoT OR sensor*) | Captures environmental parameter monitoring studies relevant to forest ecosystem health |
| Forest Health and Disease Detection | forest health, tree disease, pest detection, deforestation monitoring | (“forest health” OR “tree disease” OR pest* OR deforestation) AND (AI OR IoT OR “remote sensing” OR sensor*) | Identifies technology applications for forest health risk detection |
| Edge Computing / Cloud Platforms | edge computing, fog computing, cloud computing, big data | (“edge computing” OR “fog computing” OR “cloud computing” OR “big data”) AND (forest* OR forestry) AND (IoT OR sensor*) | Captures system architecture and computing approaches in forest IoT networks |
| Wireless Communication in Forests | LoRa, LoRaWAN, ZigBee, NB-IoT, GSM, LTE, 5G | (LoRa OR LoRaWAN OR ZigBee OR “NB-IoT” OR GSM OR LTE OR 5G) AND (forest* OR forestry) AND (sensor* OR IoT) | Captures communication technologies used in forest sensor deployments |
| Exclusion Filter (Non-Forestry Domains) | agriculture, horticulture, urban, smart city | NOT (agriculture OR horticulture OR “smart city” OR urban OR greenhouse) | Reduces irrelevant results not related to forest ecosystems |
| Author(s) / Year | Study Title (Short) | Study Location | Key Constraints | Key Trade-offs / Risks |
|---|---|---|---|---|
| Leaver & Cherry (2020) | Informal forest product harvesting | Eastern Cape, South Africa | Informal/unregulated harvesting; high dependence on forest products; weak enforcement | Livelihood and food security benefits vs forest degradation and long-term resource decline |
| Leaver & Cherry (2020) | Impacts on habitat structure | Eastern Cape, South Africa | Overharvesting, habitat disturbance, and declining forest structure | Forest product extraction vs loss of habitat quality and ecosystem services |
| Maroyi (2022) | Traditional uses of wild/tended plants | Eastern Cape Province, South Africa | Loss of indigenous knowledge; declining wild plant availability; limited formal support | Agricultural intensification vs sustaining ecosystem services and cultural food systems |
| Sardeshpande & Shackleton (2019) | Wild edible fruits review | Global (incl. Southern Africa) | Limited research evidence; weak policy integration; limited market development | Commercialisation potential vs overexploitation and exclusion of poorer harvesters |
| Lubisi et al. (2025) | Wild edible fruits review | South Africa (review) | Underutilization, weak documentation of nutritional value, and limited domestication | High nutrition potential vs lack of food safety/quality control and low investment |
| Leaver (2020) | Resource use & bird communities (Thesis) | Eastern Cape, South Africa | Forest degradation, habitat loss, and weak management institutions | Community forest use vs biodiversity decline (bird communities) |
| Constant & Tshisikhawe (2018) | Vhavenda knowledge & biodiversity | Limpopo Province, South Africa | Knowledge erosion, undervaluation of indigenous systems, and weak integration into conservation | Formal conservation vs local livelihood needs and cultural practices |
| Paumgarten et al. (2018) | Wild foods: safety net or poverty trap | South Africa (case study) | Poverty-driven dependence; seasonal availability; limited livelihood alternatives | Wild foods as a safety net vs reinforcing poverty and dependency |
| Kugedera et al. (2024) | Forest resources & food security | Dry regions of Africa (incl. Southern Africa) | Climate stress; degradation of dry forests; weak access to forest products | Food security reliance vs reduced regeneration and long-term ecological decline |
| Leakey et al. (2022) | Domestication & commercialization | Africa-wide review | Poor investment in domestication; weak markets; limited processing infrastructure | Domestication for income vs genetic erosion and uneven benefit-sharing |
| Hajdu et al. (2020) | Changing livelihoods | Eastern Cape, South Africa | Diminishing employment, livelihood instability, and high dependence on natural resources | Increased reliance on forests vs. a shrinking resource base and vulnerability |
| Sileshi et al. (2023) | Indigenous fruit trees in agroforestry | Africa-wide | Limited planting materials; low extension support; slow adoption; weak markets | Agroforestry nutrition/income benefits vs land competition and delayed returns |
| Wessels (2021) | Climate change risk to wild food plants (Thesis) | Southern Africa | Climate change impacts, drought stress, and shifting suitability ranges | Conservation investments vs uncertainty in future species distribution and productivity |
| Mdiya et al. (2021) | Rangeland products use/perception | Eastern Cape, South Africa | Overharvesting, weak rangeland governance, and declining availability | Livelihood dependence vs rangeland degradation and reduced ecosystem resilience |
| Dikko & Adamu (2025) | Underutilized fruits agrobiodiversity | Tropical Africa (scoping review) | Limited genomic research, weak breeding programs, and low funding | Scientific potential vs poor translation into farmer adoption and food systems |
| Baudron et al. (2019) | Forest cover & dietary diversity pathways | Tropical landscapes (incl. Africa) | Weak evidence linking forest cover and diets; data limitations; confounding factors | Forest conservation vs agricultural expansion pressures and opportunity costs |
| Powell et al. (2023) | Wild foods & climate adaptation | Global/Africa-focused | Wild foods are ignored in adaptation planning; poor policy integration | Adaptation benefits vs risk of overharvesting without governance systems |
| Makhubele et al. (2022) | Forest proximity & harvesting | South Africa (agroforestry landscapes) | Unequal access due to distance, transport barriers, and localised depletion near forests | Improved access vs overharvesting close to forests and inequitable benefits |
| Omotayo et al. (2019) | Kei-apple potential | South Africa | Weak consumer awareness; limited markets; lack of processing/value chains | High commercialisation potential vs biodiversity risk and land-use competition |
| Ickowitz et al. (2022) | Trees/forests transforming food systems | Global (incl. Africa) | Policy fragmentation; agriculture–forestry sector separation; weak investment | Food system transformation vs institutional barriers and land conversion risks |
| Chapman et al. (2025) | Biodiversity pressure from fruit demand | South Africa + global comparison | Unsustainable sourcing; biodiversity pressure from fruit production systems | Health/nutrition benefits of fruit consumption vs biodiversity and environmental footprint costs |
| Muimba-Kankolongo (2018) | Smallholder crop production challenges | Southern Africa | Climate variability, low productivity, weak extension, and limited inputs | Agricultural expansion for food vs forest clearing and ecosystem service loss |
| Vansant et al. (2025) | Multipurpose trees improve nutrition | Malawi | Land constraints, limited access to seedlings, and adoption barriers | Nutrition improvement vs reduced crop area and delayed tree benefits |
| Gergel et al. (2020) | Landscape diversity & diet diversity | Global conceptual | Weak interdisciplinary frameworks; limited integrated monitoring | Diversified landscapes for diet resilience vs reduced focus on high-yield monocropping |
| Chamberlain et al. (2020) | Forests/trees in the global food transition | Global (incl. Africa) | Under-recognition of NTFPs in policy and statistics | Contribution of wild fruits vs invisibility in planning and underinvestment |
| Pritchard et al. (2019) | Woodland gradient & environmental incomes | Zimbabwe | Declining woodland resources; overuse along gradients | Environmental income benefits vs depletion and reduced future provisioning |
| Nxusani et al. (2023) | Indigenous food plant usage review | Southern Africa | Poor documentation, declining use of indigenous plants, and limited promotion | Nutrition and cultural value vs modernisation and erosion of traditional diets |
| Fulgentius (2018) | Forest degradation/deforestation | Wild Coast, Eastern Cape, South Africa | Deforestation, forest degradation, and weak enforcement | Short-term livelihood extraction vs long-term loss of forest ecosystem services |
| Mokria et al. (2022) | Wild edible plants importance | Ethiopia | Seasonal scarcity; climate sensitivity; limited domestication; weak promotion | Nutritional benefits vs vulnerability to climate change and habitat decline |
| Muir et al. (2020) | NTFP definitions/statistics | Global | Weak definitions; inconsistent reporting; poor monitoring | Underestimation of wild fruit contribution vs continued policy neglect |
| Sosibo et al. (2022) | Southern Mistbelt forest use/value | Eastern Cape & KwaZulu-Natal, South Africa | Community dependence, limited governance, and declining forest health | Forest reliance vs long-term ecosystem degradation and reduced provisioning |
| Hendriks et al. (2020) | Nutrition-sensitive production programs | Rural South Africa | Poverty barriers, weak market access, and affordability constraints | Nutrition promotion vs limited access and the inability of households to sustain fruit intake |
| Ramaano (2021) | Tourism & indigenous resources | Musina Municipality, Limpopo, South Africa | Weak tourism development, limited institutional support, and poor market linkage | Tourism income vs cultural exploitation and unequal benefit distribution |
| Onomu (2023) | Commercialization pitfalls | Africa-wide | Weak value chains, poor processing, and limited policy support | Commercialisation vs. exclusion of smallholders and loss of agrobiodiversity |
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