A Systematic Review and Meta-Analysis of Factors Influencing Water Use Behaviour and the Efficiency of Agricultural Production in South Africa
Abstract
:1. Introduction
- (i)
- What are the factors influencing water use behaviour and efficiency among agricultural producers in South Africa?
- (ii)
- How do these factors affect their decision making and the adaptation of production practices?
2. Materials and Methods
2.1. Contextual Factors of South Africa
2.2. Literature Search Criteria
2.3. The Selection Criteria Used
3. Results
3.1. Climate and Adaptation Strategies
3.2. Policy and Water Pricing
3.3. Agricultural Production and Management
3.4. Word Frequency Analysis
4. Discussion
- (i)
- Conducting crop research aimed at discovering resistant breeds and varieties that are resilient and tolerant to drought and heat to counter climate challenges;
- (ii)
- Increased focus on research in agricultural practices;
- (iii)
- Enhancing water utilization efficiency in agriculture;
- (iv)
- Incorporating all of these strategic objectives into a sustainable research framework.
- (i)
- Charging for water use in agriculture;
- (ii)
- Removing subsidies that negatively impact water resources;
- (iii)
- Regulating groundwater use;
- (iv)
- Addressing nonpoint source pollution.
- (i)
- Changes in irrigation application;
- (ii)
- Soil and plant practices;
- (iii)
- Water price;
- (iv)
- Farmer participation in water management.
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Author/s | Objectives | Methods and Data | Findings | Remarks |
---|---|---|---|---|
Scheepers and Jordaan [60] | This research aimed to investigate the blue and green water footprint associated with lucerne cultivation for utilization as animal feed in the dairy sector while considering water scarcity in a designated lucerne production area. | The study used the Global Water Footprint Standard approach to calculate the blue and green water footprint indicators. | The findings indicate a volumetric water footprint indicator of 378 m3/tonne for lucerne. Out of the combined blue and green water footprint, 55% constitutes the green water footprint, and 45% constitutes the blue water footprint. Consequently, despite being situated in a significant irrigation zone in South Africa, the primary portion of the overall water demand is fulfilled by efficient rainfall. Evaluating water usage sustainability revealed that the period coinciding with Lucerne’s need for irrigation water aligns with a water scarcity index below 100%. | Environmental sustainability, arid, dry climate, water use |
Vahrmeijer et al. [48] | The study aimed to model citrus water use and establish an understanding of the factors governing citrus water use. | The study used reference evapotranspiration, which was determined using the modified FAO Penman–Monteith equation, and they also used Sap Flow for further calculations. | Findings from assessments conducted in various citrus orchards across different climatic zones in South Africa revealed that when soil water supply is abundant, citrus water consumption is not exclusively determined by atmospheric requirements. It is also influenced by internal barriers to water flow within the plant, restricting the volume of water a citrus tree can release through transpiration on hot, dry days. | Policy |
Speelman et al. [43] | This research presents a new methodology, employing data envelopment analysis, which enables the estimation of the impacts on agricultural production processes and water demand when implementing or increasing a water price. | This study uses a novel two-stage application of Data Envelopment Analysis (DEA) to simulate the effect of changes in water prices. | It has been discovered that most farmers still need to modify their water usage; despite this, production costs have risen considerably. Nevertheless, the results also demonstrated that further adjustments to the model are necessary to simulate farmers’ behaviour realistically better. | Water pricing, cost of water |
Talanow et al. [38] | To assess how farmers perceive climate change, what factors influence their risk perception and adaptive behaviour, and what adaptation strategies they apply. | MaxQDA version 18 software coding was used along with semi-structured interviews. The data was qualitative and collected through face-to-face interviews. | According to the study, farmers saw long-term climatic changes, including variations in rainfall and temperature rises. Farmers’ adaptation behaviour was impacted by their intrinsic characteristics and prior climatic experience. They discovered that farmers used adaptable techniques on their farms but were planning less for the future than their current ones. | Climate |
Kom et al. [41] | This study had two primary objectives: firstly, to evaluate the significance of indigenous knowledge in weather predictions relied upon by local farmers for adapting to climate variations, and secondly, to investigate farmers’ perspectives concerning climate change in the Levubu and Nwanedi regions. | Indigenous knowledge indicators used by farmers for weather forecasting within their communities were collected through questionnaires, interviews, and focus group discussions. | The findings unveiled several indigenous indicators employed by local farmers for weather forecasting, including observations related to celestial bodies like stars and the moon, the presence of specific ant species, and the occurrence of mist-cover on mountains. An enhanced understanding of indigenous knowledge systems is crucial for developing appropriate adaptation strategies in response to climate change. | Adaptation strategies for climate, indigenous knowledge for adaption |
Vilakazi et al. [35] | The study aimed to record the indigenous techniques employed by smallholder farmers in Bergville and Msinga, located in the KwaZulu Natal Province, for weather prediction, soil and water conservation, and managing extreme climate events. | Data were gathered through key informant interviews, focus group discussions, and questionnaires. | The results indicated that a more significant number of farmers in Msinga, compared to those in Bergville, observed reduced rainfall and increased temperatures as signs of climate variability (p < 0.05). Both Bergville and Msinga communal farmers utilized indigenous indicators such as wind and cloud patterns, animal and bird behaviour, moon phases, and the position of the sun for weather prediction. Additionally, communal farmers who employed manure were 0.17 times more likely to engage in soil and water conservation than those using artificial fertilizer (p < 0.05). | Indigenous observations, climate change, and variabilities |
Findlater et al. [61] | This study used a nuanced and contextualized analysis of CA adoption by South Africa’s commercial grain farmers to understand better the implications of the simplified methods commonly used to track it. | They used a national survey of South Africa’s commercial grain farmers, contextualized by previous interviews, to investigate standard measures of adoption and their implications for CA’s promotion, monitoring, and evaluation. | Their findings indicated that farmers are autonomously adopting Conservation Agriculture (CA). Still, there is considerable variation in its implementation, and their understanding of farming practices differs from that of local experts. While single proxies, binary adoption variables, and general farmer self-assessments suggest that between 40 and 80% of farmers have adopted CA, a comprehensive evaluation based on the three CA principles using UN-defined adoption thresholds reveals a much lower adoption rate of only 14%. | Adoption of conservation agriculture and related ways to climate |
Ngxumeshe et al. [62] | This paper aims to discuss the diverse issues related to water utilization in beef production. It will also further explore the various methods for assessing the water footprint of a product. | The study used the Global Water Footprint Standard approach. | They found that no studies were conducted to evaluate the water footprint in the extensive beef production system. Therefore, with supporting scientific evidence, it is only possible to assert that beef production in South Africa is the primary contributor to the country’s water scarcity issue. Additionally, extensive beef production also consumes green water, utilizing land unsuitable for any other form of production. | Behaviour related to social, economic, and environmental factors |
Jordaan and Bahta [36] | This paper assessed the impact of policy intervention on irrigation agriculture. | The study used a modified IFPRI CGE, SWIP–E model, and SAM. | The findings revealed that implementing water restrictions made it more profitable to decrease the number of planted hectares and instead focus on thoroughly irrigating to achieve higher yields. Increasing irrigation water tariffs had only a minimal effect on yield. The primary challenge identified was water availability, with policy interventions playing a lesser role. | Drought, climate, and policy interventions |
Owusu-Sekyere et al. [51] | The study assessed the water footprint of milk produced and processed in South Africa using the procedures outlined in the water footprint assessment manual. | The study used the Global Water Footprint Standard approach. | The findings indicate that 1352 m3 of water is necessary to produce one tonne of milk with 4% fat and 3.3% protein in South Africa. Water used in the production of feed for lactating cows alone constitutes 86.35% of the total water footprint of milk. Interestingly, the water footprint of feed ration for lactating cows is approximately 85% higher than that of non-lactating cows. Moreover, the green water footprint accounts for over 86% of lactating cows’ total water footprint of feed ration. Both green and blue water footprints significantly contribute to the overall water footprint of milk production in South Africa. | Management of rangeland and pastures improves water productivity. |
Speelman et al. [44] | The study aimed to analyse the efficiency with which water is used in small-scale irrigation schemes in the North West Province in South Africa and studies its determinants. | Data Envelopment Analysis (DEA) techniques were used to compute farm-level technical efficiency measures and sub-vector efficiencies for water use. Tobit regression techniques were also used to examine the relationship between sub-vector efficiency for water and various farm or farmer characteristics. | The study demonstrated that significant technical inefficiencies exist among farmers under constant returns to scale (CRS) and variable returns to scale (VRS) specifications, amounting to 49% and 16%, respectively. Furthermore, the sub-vector efficiencies for water were found to be even lower. This suggests that by enhancing efficiency using existing technology, it would be feasible to redistribute a portion of irrigation water to fulfill other water needs without jeopardizing the importance of small-scale irrigation. | Water price and change in water use: WUE changes when pricing |
Mengistu et al. [53] | This study aimed to assess the water use efficiency, defined as the utilizable yield per unit of water used, of drip-irrigated sweet sorghum (variety Sugargraze) under two distinct climatic conditions in South Africa. | Field trials were conducted in two successive seasons. Seasonal water use was estimated using eddy covariance and surface renewal methods. Fresh and dry aboveground biomass yield, stalk yield, and stalk Brix % were measured at the final harvest. Theoretical ethanol yield was calculated from fresh stalk yield and Brix %. | This study showed that the water use efficiency of sweet sorghum was sensitive to plant density. The water use efficiency values confirmed that sweet sorghum has high water use efficiency under different climatic conditions. | Adoption of alternative crops |
Adetoso et al. [55] | The study examined how water scarcity can be alleviated by decreasing the water footprint of sugarcane production using different soil mulching and irrigation systems in South Africa. The study also quantifies the economic benefits of reducing blue water footprints. | The MyCanesim model and water footprint assessment methodologies were employed to estimate blue and green water footprints under the different systems in the Malelane region of South Africa. | The results indicate that blue water usage for sugarcane cultivated with a thick mulch cover was notably reduced compared to sugarcane grown with a light mulch cover. This disparity was more pronounced in center pivot-irrigated sugarcane than in subsurface drip-irrigated sugarcane. Interestingly, both the blue water footprint and the total water footprint (combining blue and green water) for crops grown with a thick mulch cover were only slightly lower than those for crops grown with a light mulch cover. | Changing soil and irrigation systems to increase WUE |
De Witt et al. [57] | The study tried to investigate the reasons behind the use or non-use of irrigation technology for scheduling, and in particular, the uptake of a free, government-funded remote-sensing service called FruitLook for commercial farmers from the water-scarce Central Breede River Valley area in South Africa. | Three methods were considered for information gathering on technology adoption: self-completion questionnaires, face-to-face interviews, and workshops. | In-depth interviews uncovered a significant adoption rate of technology among farmers, reaching 83%, albeit predominantly limited to one type: soil water measurement. Within the subset of farmers utilizing water-use efficiency technology, 78% rely on the services of the same probe provider. This popularity stems from perceived accuracy, ease of use, and personalized after-sales service associated with the probe. Despite an 86% awareness level among farmers, only one farmer incorporates FruitLook for irrigation purposes. | Technology uptake to improve water use efficiency |
Joseph et al. [39] | This study was conducted to evaluate the impact of adopting various climate change adaptation strategies on the production efficiency of citrus farmers in the Limpopo province of South Africa. | The stochastic frontier production function with Cobb Douglas production functional form was used along with a semi-structured questionnaire. | The likelihood ratio tests conducted for profit models indicated that farmers were deemed profit-efficient when considering the identified adaptation strategies. The inefficiency model revealed that, apart from changing fertilizer as an adaptation measure, implementing other adaptation strategies such as IPM, water harvesting, and planting drought-resistant varieties did not significantly alter the profit efficiency of farmers. | Climate change adoption |
Chami et al. [59] | They suggest four primary strategic goals that research institutions can focus on and promote through good governance to achieve water sustainability in agriculture. | The NWRS2 has been briefly reviewed, and a practical framework has been developed. | This article serves as an urgent plea to all stakeholders and policymakers within government bodies and research institutions to expedite the implementation of the roadmap. They proposed this framework to help all stakeholders make decisions about sustainable water levels. | Climate and government implementation strategies |
Speelman et al. [45] | They introduced an innovative two-stage methodology that estimates these effects at the farm level. | The first step in this study was determining the current technical and allocative efficiency levels of the farms in the sample using the non-parametric data envelopment analysis approach. Secondly, they simulated the impact of different water prices on the farm level. | The findings indicate that farmers in South Africa exhibit considerable responsiveness even to minor adjustments in water pricing. Given the existing low levels, this heightened response can be attributed to the substantial room for enhancing water use efficiency. Pricing mechanisms serve as a motivating factor for farmers to curtail water consumption. Additionally, a significant and adverse impact on farm profitability, a finding echoed by other studies, was also observed. | Water pricing policies |
Roux et al. [52] | This study aimed to develop a new technology using satellite data to show spatial and temporal variations of crop water use, which could assist farmers with their farming practices. | FruitLook makes use of a processing framework that utilizes several algorithms (e.g., MeteoLook, SEBAL), satellite (DMC, VIIRS, MSG, Landsat 8, and Sentinel-2 images), and field data (weather). | The GrapeLook and FruitLook projects have demonstrated that an innovative tool such as remote sensing can project valuable information on crucial growth parameters. This information can potentially enhance agricultural production while concurrently diminishing water consumption. | Technology uptake to improve water use efficiency |
Njiraini et al. [49] | The study assessed the effects of water policy on irrigation water use efficiency and quality in the Olifants basin of South Africa. | The study uses data envelopment analysis and regression techniques to ascertain the effects of water policy on water use efficiency and quality. | The analysis revealed that the average water use efficiency among irrigation water users was as low as 31 percent. Among the policy factors under scrutiny, compulsory licensing emerged as a significant influencer of water use efficiency. Conversely, water pricing, compulsory licensing, and membership in Water User Associations (WUAs) significantly affected water use quality. | Water policy and management, factors affecting water use |
Olivier and Singels [56] | The study’s objective was to examine the extent to which water use efficiency (WUE) in irrigated sugarcane production in South Africa can be enhanced through improved agronomic practices. Additionally, the study aimed to better understand the mechanisms underlying crop response to these factors. | Over four years, an overhead irrigated field experiment was conducted near Komatipoort, South Africa, on a shallow, well-drained, sandy clay loam. | This study demonstrated that substantial reductions in water use and irrigation demands, along with improvements in water use efficiency (WUE), can be achieved by implementing a crop residue layer to cover the soil. The most significant water savings were observed in P crops, with reductions of 26% in crop water use (CWU) and 32% in irrigation requirements. However, significant savings of approximately 15% were also realized in R crops. | Farming techniques, soil, and crops changes |
Lankford et al. [40] | The study examined the effects of hydrological variables such as irrigation area, irrigation efficiency, and water storage on the resilience of (primarily commercial) irrigated agriculture to drought in a semi-arid catchment in South Africa. | They formulated a conceptual framework termed ‘Water, Efficiency, Resilience, Drought’ (WERD) and an accompanying spreadsheet model. | For the case study, analyses showed that irrigators, with currently approximately 23,000 ha under irrigation, have historically absorbed and adapted to drought events through the construction of water storage and adoption of more efficient irrigation practices, resulting in a DDZ of 260 days. However, by not fully anticipating future climate and water-related risks, irrigators are arguably on a maladaptive pathway, resulting in water supply gains, efficiency, and other practices to increase irrigation command areas to 28,000 ha or more, decreasing their capacity to absorb future droughts. This area’s growth increases water withdrawals and depletion, further stresses the catchment, and reduces future DDZs to approximately 130 days, indicating much lower drought resilience. | Efficiency and resilience in drought |
Reinders [46] | The study aimed to assess the framework and compile guidelines for improved irrigation water management from dam wall release to root zone application. | The study analysed the new South African Framework for Improved Efficiency of Irrigation. Water Use covers four levels of water-management infrastructure: the water source, bulk conveyance system, the irrigation scheme, and the irrigation farm. | The guidelines are designed to support both water users and authorities in enhancing their comprehension of how irrigation water management can be improved. This initiative aims to bolster human capacity, enabling targeted investments with reduced social and environmental impacts. | Water management guidelines and improvement |
Bennie and Hensley [33] | The study aimed to assess farmers’ adoption of agricultural practices to maximize precipitation utilization and ensure production and economic and social sustainability. | They used precipitation use, efficiency parameter analysis, and various factors. | The utilization of precipitation has proven to be a valuable parameter for evaluating the efficacy of different production or management practices in dryland crop production or rangeland utilization. They are extending the fallow period before planting, which increases the pre-plant stored water in the soil, thereby reducing the risk of drought damage to crops and ultimately leading to improved yields. Deep drainage is observed primarily in sandy soils during wet seasons, with measurements indicating values as high as 20% of the annual precipitation during years with above-average rainfall. | Adoption of farming practices, changes in production |
Musokwa et al. [54] | The study investigated the water distribution and water use efficiency (WUE) of maize crops rotated with two-year pigeon pea fallows compared to continuous maize cultivation without fertilizer application. | A randomized complete block design, replicated three times, was used with four treatments, which included continuous unfertilized maize, natural fallow-maize, pigeon pea + grass-pigeon pea-maize, and two-year pigeon pea fallow-maize. | Soil samples were analyzed using pressure plates to establish water retention curves, enabling the conversion of soil water tension to volumetric water content. The results indicated that maize rotated with two-year pigeon pea fallows exhibited higher dry matter yield (11,661 kg/ha) and water use efficiency (WUE) (20.78 kg/mm) compared to continuous maize cultivation (5314 kg/ha and 9.48 kg/mm, respectively). | Alternative crops |
Walter et al. [47] | This study examined the current water allocation scenarios within and between regions in the Middle Olifants sub-basin of South Africa. | A non-linear optimization model was used for the study. | The results indicate more significant benefits from inter-regional water allocation. When reducing water supply levels to comply with sustainable water supply policies, it’s observed that although water supply is decreased by around 50%, the total benefits derived from water use only drop by 5% and 11% for inter- and intra-regional allocation regimes, respectively. | Water transfers and trade, economic and social policy |
Speelman et al. [42] | This study examined the effectiveness of water usage in small-scale irrigation schemes within the North-West Province of South Africa and investigated the factors influencing it. | The study used Data Envelopment Analysis (DEA) techniques, which compute farm-level technical efficiency measures and sub-vector efficiencies specifically for water use. | The study revealed significant technical inefficiencies among farmers, with 49% and 16% under Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) specifications, respectively. Moreover, sub-vector efficiencies for water were found to be even lower. This suggests that by enhancing efficiency with existing technology, it would be feasible to redistribute a portion of irrigation water to other water needs without compromising the viability of small-scale irrigation. | Water pricing and charges, information, and guidelines for the management |
Tarrisse et al. [58] | This study presents a table matrix correlating yield projection per hectare (ha) with four different Water Use Efficiency (WUE) values and a Mean Annual Rainfall (MAR) gradient ranging from 250 to 600 mm. Additionally, projections of stored water in the biomass and methane yield associated with laboratory analysis of the spineless cactus’s Anaerobic Digestion (AD) process will be evaluated. | The study used the energy yield from the anaerobic digestion of spineless cactus and the mean annual rainfall for South Africa, which used this formulation to generate a table matrix. | Approximately 50% of South Africa experiences Mean Annual Rainfall (MAR) ranging from 150 to 500 mm, covering a vast area of around 600,000 km2 and resulting in an estimated annual rainfall volume of approximately 190 billion m3. Spineless cacti have been utilized in this region for over a century as a form of drought insurance by livestock farmers; however, their full potential has remained largely untapped until now. | Intensive cultivation methods, alternative crops |
Du Preez and Van Huyssteen [37] | This study aimed to assess the risks posed to South Africa’s soil and water resources, which are crucial for maintaining sustainable food production. | The study evaluated various physical, chemical, and biological factors that could threaten soil and water resources. | From a physical standpoint, significant concerns arise from wind and water erosion, structural decay, subsoil compaction, and soil surface crusting. Chemically, acidification, salinization, and pollution are primary areas of worry, with acidification predominantly affecting the humid eastern regions and salinization concentrated in the arid western parts of South Africa. Biological degradation primarily stems from declining organic matter, further diminishing South African soils’ already low organic carbon content. | Threats to soil and water resources, climate |
Munro et al. [50] | This paper evaluates sustainability and offers guidance for achieving sustainable, efficient, and equitable water utilization. | The study made use of a water footprint assessment. | Among the citrus varieties analyzed, lemons exhibited the lowest blue and combined green-blue water footprint per ton of production across all climatic years. Following lemons, soft citrus, valencias, and navels were ranked in ascending order regarding their water footprint. Moreover, valencias demonstrated the lowest greywater footprint, particularly associated with inorganic nitrogen, while navels exhibited the highest greywater footprint in this context. | Water licensing, environmental sustainability and benefits of water footprint analysis |
Dalin and Conway [34] | The study aimed to assess the virtual food-water trade for various countries and the effect of climate variability on the food trade. | In this study, they integrated simulations from a global hydrological model with international food trade data to measure the water resources embedded in international food trade. Their analysis also focused on assessing the impacts of socio-economic changes and climatic variability on agricultural trade and the embedded water resources over this period. | Their findings suggest that regional food trade demonstrates efficiency in terms of water use; however, it may need to be more sustainable due to the reliance of water-productive exporters, such as South Africa, on increasingly stressed water resources. Notably, the role of imports from other parts of the world in meeting the region’s food supply needs becomes significant, particularly during severe droughts. | Trade of water-related goods, climate shocks, productivity of water use |
These were the 30 articles that were reviewed for the systematic review. These articles discussed various aspects that affect farmers’ agricultural production. It further mentioned their strategies and techniques to withstand the factors. The factors identified from the review were climate conditions and related adaptation strategies, water policy and pricing, production management, and methods. The abovementioned factors impact agricultural producers’ water use behaviour and efficiency. Farmers change their production practices to adapt to the influencing factors to improve their water use. A better understanding of the factors could assist stakeholders, management boards, policymakers, and farmers with their decision-making regarding water use. |
References
- Food and Agriculture Organisation of the United Nations (FAO). Water Use; FAO: Rome, Italy, 2023; Available online: http://www.fao.org/nr/water/aquastat/water_use/index.stm (accessed on 14 November 2023).
- Boretti, A.; Rosa, L. Reassessing the projections of the World Water Development Report. NPJ Clean Water 2019, 2, 15. [Google Scholar] [CrossRef]
- Hsiao, T.C.; Steduto, P.; Fereres, E. A systematic and quantitative approach to improve water use efficiency in agriculture. Irrig. Sci. 2007, 25, 209–231. [Google Scholar] [CrossRef]
- Food and Agricultural Organisation of the United Nations (FAO). The State of the World’s Land and Water Resources for Food and Agriculture (SOLAW): Managing Systems at Risk; Food and Agriculture Organization of the United Nations, Earthscan: London, UK, 2011. [Google Scholar]
- Pakmehr, S.; Yazdanpanah, M.; Baradaran, M. How collective efficacy makes a difference in responses to water shortage due to climate change in southwest Iran. Land Use Policy 2020, 99, 104798. [Google Scholar] [CrossRef]
- Tshikovhi, M.; van Wyk, R.B. South Africa’s increasing climate variability and its effect on food production. Outlook Agric. 2021, 50, 286–293. [Google Scholar] [CrossRef]
- Bates, B.C.; Kundzewicz, Z.W.; Wu, S.; Palutikof, J.P. Climate Change and Water; Intergovernmental Panel on Climate Change Secretariat: Geneva, Italy, 2008. [Google Scholar]
- Fu, Y.; Wu, W. Behaviour interventions for water end use: An integrated model. In Proceedings of the 20th International Conference on Automation and Computing, Cranfield, UK, 12–13 September 2014. [Google Scholar]
- Hunink, J.E.; Droogers, P. Climate Change Impact Assessment on Crop Production in Uzbekistan: World Bank Study on Reducing Vulnerability to Climate Change in Europe and Central Asia (ECA) Agricultural Systems; Report Future Water 106; World Bank: Washington, DC, USA, 2011. [Google Scholar]
- Turral, H.; Burke, J.; Faurès, J.M. Climate Change, Water and Food Security; Water Reports 36; Food and Agriculture Organisation of the United Nations: Rome, Italy, 2011. [Google Scholar]
- Westerveld, L. Effect of Climate Change on Crop Yields in the 2040s under the Medium Impact Scenario, No Adaptation and No Irrigation Water Constraints. Available online: https://www.grida.no/resources/7631 (accessed on 14 November 2023).
- Ali, S.; Liu, Y.; Ishaq, M.; Shah, T.; Ilyas, A.; Din, I.U. Climate change and its impact on the yield of major food crops: Evidence from Pakistan. Foods 2017, 6, 39. [Google Scholar] [CrossRef] [PubMed]
- Donnenfeld, Z.; Hedden, S.; Crookes, C. A Delicate Balance: Water Scarcity in South Africa. Available online: https://africaportal.org/publication/delicate-balance-water-scarcity-south-africa (accessed on 8 February 2024).
- Passioura, J. Increasing crop productivity when water is scarce: From breeding to field management. Agric. Water Manag. 2006, 80, 176–196. [Google Scholar] [CrossRef]
- Sharma, B.; Molden, D.; Cook, S. Water use efficiency in agriculture: Measurement, current situation and trends. In Managing Water and Fertilizer for Sustainable Agricultural Intensification; Drechsel, P., Heffer, P., Magen, H., Mikkelsen, R., Wichelns, D., Eds.; International Fertilizer Industry Association (IFA): Paris, France; International Water Management Institute (IWMI): Colombo, Sri Lanka; International Plant Nutrition Institute (IPNI): Georgia, GA, USA; International Potash Institute (IPI): Horgen, Switzerland, 2015; pp. 39–64. [Google Scholar]
- Molden, D.; Oweis, T.; Steduto, P.; Bindraban, P.; Hanjra, M.A.; Kijne, J. Improving agricultural water productivity: Between optimism and caution. Agric. Water Manag. 2010, 97, 528–535. [Google Scholar] [CrossRef]
- Yazdanpanah, M.; Feyzabad, F.R.; Forouzani, M.; Mohammadzadeh, S.; Burton, R.J. Predicting farmers’ water conservation goals and behavior in Iran: A test of social cognitive theory. Land Use Policy 2015, 47, 401–407. [Google Scholar] [CrossRef]
- Savari, M.; Eskandari Damaneh, H.; Eskandari Damaneh, H. Factors influencing local people’s participation in sustainable forest management. Arab. J. Geosci. 2020, 13, 513. [Google Scholar] [CrossRef]
- Mancha, R.M.; Yoder, C.Y. Cultural antecedents of green behavioral intent: An environmental theory of planned behavior. J. Environ. Psychol. 2015, 43, 145–154. [Google Scholar] [CrossRef]
- Growing Blue. Implications of Growth. Available online: http://growingblue.com/implications-of-growth (accessed on 15 November 2023).
- Fader, M.; Shi, S.; von Bloh, W.; Bondeau, A.; Cramer, W. Mediterranean irrigation under climate change: More efficient irrigation needed to compensate for increases in irrigation water requirements. Hydrol. Earth Syst. Sci. 2016, 20, 953–973. [Google Scholar] [CrossRef]
- Yun, S.X. Present situation and countermeasures of water resource management in Qinan County. Gansu Agric. 2019, 500, 112. [Google Scholar]
- Valizadeh, N.; Bijani, M.; Hayati, D. A comparative analysis of behavioral theories towards farmers’ water conservation. Int. J. Agric. Manag. Dev. 2018, 9, 1–10. [Google Scholar]
- Muenratch, P.; Nguyen, T.P.L. Determinants of water use saving behaviour toward sustainable groundwater management. Groundw. Sustain. Dev. 2023, 20, 100898. [Google Scholar] [CrossRef]
- Ahmed, W.; Safdar, U.; Ali, A.; Haider, K.; Tahir, N.; Sajid, S.; Ahmad, M.; Khalid, M.N. Sustainable water use in agriculture: A review of worldwide research. Int. J. Agric. Biosci. 2022, 11, 247–251. [Google Scholar]
- Fereres, E.; Soriano, M.A. Deficit irrigation for reducing agricultural water use. J. Exp. Bot. 2007, 58, 147–159. [Google Scholar] [CrossRef] [PubMed]
- Boutraa, T. Improvement of water use efficiency in irrigated agriculture: A review. J. Agron. 2010, 9, 1–8. [Google Scholar] [CrossRef]
- Statistics South Africa (Stats SA). Mid-Year Population Estimates: 2022; Statistics South Africa (Stats SA): Pretoria, South Africa, 2022; Available online: www.statssa.gov.za (accessed on 28 May 2024).
- World Bank. Climate Risk Country Profile: South Africa. 2021. Available online: https://climateknowledgeportal.worldbank.org/country-profiles (accessed on 28 May 2024).
- South African Government (SAG). National Water Security; South African Government (SAG): Pretoria, South Africa, 2015. Available online: https://www.gov.za/speeches/national-water-security-13-nov-2015-0000 (accessed on 28 May 2024).
- Food and Agriculture Organization (FAO). Country Profile—South Africa; FAO: Rome, Italy, 2016; Available online: https://www.fao.org/3/i9821en/I9821EN.pdf (accessed on 28 May 2024).
- Department of Water and Sanitation. (DWS). National State of Water Report; Department of Water and Sanitation. (DWS): Pretoria, South Africa, 2024; Available online: https://www.dws.gov.za (accessed on 29 May 2024).
- Bennie, A.T.P.; Hensley, M. Maximizing precipitation utilization in dryland agriculture in South Africa: A review. J. Hydrol. 2001, 241, 124–139. [Google Scholar] [CrossRef]
- Dalin, C.; Conway, D. Water resources transfers through southern African food trade: Water efficiency and climate signals. Environ. Res. Lett. 2016, 11, 015005. [Google Scholar] [CrossRef]
- Vilakazi, B.S.; Zengeni, R.; Mafongoya, P. Indigenous strategies used by selected farming communities in KwaZulu Natal, South Africa, to manage soil, water, and climate extremes and to make weather predictions. Land Degrad. Dev. 2019, 30, 1999–2008. [Google Scholar] [CrossRef]
- Jordaan, H.; Bahta, Y.T. The Economic Impact of policy interventions to mitigate water use in irrigation agriculture in South Africa. Hum. Ecol. 2020, 71, 8–15. [Google Scholar]
- Du Preez, C.C.; van Huyssteen, C.W. Threats to soil and water resources in South Africa. Environ. Res. 2020, 183, 109015. [Google Scholar] [CrossRef] [PubMed]
- Talanow, K.; Topp, E.N.; Loos, J.; Martín-López, B. Farmers’ perceptions of climate change and adaptation strategies in South Africa’s Western Cape. J. Rural Stud. 2021, 81, 203–219. [Google Scholar] [CrossRef]
- Joseph, S.; Antwi, M.A.; Chagwiza, C.; Rubhara, T.T. Climate change adaptation strategies and production efficiency: The case of citrus farmers in the Limpopo province, South Africa. Jàmbá J. Disaster Risk Stud. 2021, 13, 1093. [Google Scholar] [CrossRef] [PubMed]
- Lankford, B.; Pringle, C.; McCosh, J.; Shabalala, M.; Hess, T.; Knox, J.W. Irrigation area, efficiency, and water storage mediate the drought resilience of irrigated agriculture in a semi-arid catchment. Sci. Total Environ. 2023, 859, 160263. [Google Scholar] [CrossRef] [PubMed]
- Kom, Z.; Nethengwe, N.S.; Mpandeli, S.; Chikoore, H. Indigenous knowledge indicators employed by farmers for adaptation to climate change in rural South Africa. J. Environ. Plan. Manag. 2023, 66, 2778–2793. [Google Scholar] [CrossRef]
- Speelman, S.; d’Haese, M.; Buysse, J.; d’Haese, L. Technical efficiency of water use and its determinants, study at smallscale irrigation schemes in North-West Province, South Africa. In Proceedings of the 106th Seminar of the European Association of Agricultural Economists: Pro-Poor Development in Low Income Countries: Food, Agriculture, Trade, and Environment, Montpellier, France, 25–27 October 2007. [Google Scholar]
- Speelman, S.; Buysse, J.; Frija, A.; D’Haese, M.F.; d’Haese, L. Estimating the effect of water charge introduction at small-scale irrigation schemes in North West Province, South Africa. In Proceedings of the 107th seminar of the European Association of Agricultural Economists: Modelling of Agricultural and Rural Development Policies, Sevilla, Spain, 29 January–1 February 2008. [Google Scholar]
- Speelman, S.; D’Haese, M.; Buysse, J.; D’Haese, L. A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa. Agric. Syst. 2008, 98, 31–39. [Google Scholar] [CrossRef]
- Speelman, S.; Buysse, J.; Farolfi, S.; Frija, A.; D’haese, M.; D’haese, L. Estimating the impacts of water pricing on smallholder irrigators in North West Province, South Africa. Agric. Water Manag. 2009, 96, 1560–1566. [Google Scholar] [CrossRef]
- Reinders, F.B. Irrigation methods for efficient water application: 40 years of South African research excellence. Water SA 2011, 37, 765–770. [Google Scholar] [CrossRef]
- Walter, T.; Kloos, J.; Tsegai, D. Options for improving water use efficiency under worsening scarcity: Evidence from the Middle Olifants Sub-Basin in South Africa. Water SA 2011, 37, 357–370. [Google Scholar] [CrossRef]
- Vahrmeijer, J.T.; Annandale, J.G.; Gush, M.B.; Taylor, N.J. Citrus water use in South Africa. Acta Hortic. 2012, 1065, 1719–1724. [Google Scholar]
- Njiraini, G.W.; Thiam, D.R.; Muchapondwa, E. Implications of water policy reforms on water use efficiency and quality in South Africa: The Olifants river basin. In Proceedings of the 5th International conference of the African Association of Agricultural Economists, Addis Abada, Ethiopia, 23–26 September 2016. [Google Scholar]
- Munro, S.A.; Fraser, G.C.; Snowball, J.D.; Pahlow, M. Water footprint assessment of citrus production in South Africa: A case study of the Lower Sundays River Valley. J. Clean. Prod. 2016, 135, 668–678. [Google Scholar] [CrossRef]
- Owusu-Sekyere, E.; Scheepers, M.E.; Jordaan, H. Water footprint of milk produced and processed in South Africa: Implications for policy-makers and stakeholders along the dairy value chain. Water 2016, 8, 322. [Google Scholar] [CrossRef]
- Roux, A.S.; Jarmain, C.; Goudriaan, R. Fruitlook: A spacial approach to assess and improve water use efficiency of vineyards and deciduous fruit orchards in South Africa. In Proceedings of the 2nd World Irrigation Forum, Chiang Mai, Thailand, 6–8 November 2016. [Google Scholar]
- Mengistu, M.G.; Steyn, J.M.; Kunz, R.P.; Doidge, I.; Hlophe, H.B.; Everson, C.S.; Jewitt, G.P.W.; Clulow, A.D. A preliminary investigation of the water use efficiency of sweet sorghum for biofuel in South Africa. Water SA 2016, 42, 152–160. [Google Scholar] [CrossRef]
- Musokwa, M.; Mafongoya, P.L.; Chirwa, P.W. Monitoring of soil water content in maize rotated with Pigeonpea Fallows in South Africa. Water 2020, 12, 2761. [Google Scholar] [CrossRef]
- Adetoro, A.A.; Abraham, S.; Paraskevopoulos, A.L.; Owusu-Sekyere, E.; Jordaan, H.; Orimoloye, I.R. Alleviating water shortages by decreasing water footprint in sugarcane production: The impacts of different soil mulching and irrigation systems in South Africa. Groundw. Sust. Dev. 2020, 11, 100464. [Google Scholar] [CrossRef]
- Olivier, F.C.; Singels, A. Increasing water use efficiency of irrigated sugarcane production in South Africa through better agronomic practices. Field Crops Res. 2015, 176, 87–98. [Google Scholar] [CrossRef]
- De Witt, M.; de Clercq, W.P.; Velazquez, F.J.B.; Altobelli, F.; Marta, A.D. An in-depth evaluation of personal barriers to technology adoption in irrigated agriculture in South Africa. Outlook Agric. 2021, 50, 259–268. [Google Scholar] [CrossRef]
- Tarrisse, A.; de Wit, M.; van Niekerk, J.A. The potential of spineless cactus as a drought tolerant energy crop for biogas production: A geographic analysis of potential impact depending on water use efficiency (WUE) and mean annual rainfall (MAR) in South Africa. Acta Hortic. 2022, 1343, 197–206. [Google Scholar] [CrossRef]
- Chami, D.E.; Moujabber, M.E. Drought, climate change and sustainability of water in agriculture: A roadmap towards the NWRS2. S. Afr. J. Sci. 2016, 112, 1–4. [Google Scholar] [CrossRef]
- Scheepers, M.E.; Jordaan, H. Assessing the blue and green water footprint of lucerne for milk production in South Africa. Sustainability 2016, 8, 49. [Google Scholar] [CrossRef]
- Findlater, K.M.; Kandlikar, M.; Satterfield, T. Misunderstanding conservation agriculture: Challenges in promoting, monitoring and evaluating sustainable farming. Environ. Sci. Policy 2019, 100, 47–54. [Google Scholar] [CrossRef]
- Ngxumeshe, A.M.; Ratsaka, M.; Mtileni, B.; Nephawe, K. Sustainable application of livestock water footprints in different beef production systems of South Africa. Sustainability 2020, 12, 9921. [Google Scholar] [CrossRef]
- PRISMA. PRISMA 2020 Statement. Available online: http://www.prisma-statement.org/PRISMAStatement (accessed on 8 February 2024).
- Du, E.; Cai, X.; Wu, F.; Foster, T.; Zheng, C. Exploring the impacts of the inequality of water permit allocation and farmers’ behaviors on the performance of an agricultural water market. J. Hydrol. 2021, 599, 126303. [Google Scholar] [CrossRef]
- The Global Goals. The 17 Goals. Available online: https://www.globalgoals.org/goals/6-clean-water-and-sanitation (accessed on 12 April 2024).
- Gruère, G.; Le Boëdec, H. Navigating Pathways to Reform Water Policies in Agriculture; Agriculture and Fisheries Papers, No. 128; OECD Publishing: Paris, France, 2019. [Google Scholar]
- Nyam, Y.S.; Kotir, J.H.; Jordaan, A.J.; Ogundeji, A.A.; Turton, A.R. Drivers of change in sustainable water management and agricultural development in South Africa: A participatory approach. Sustain. Water Resour. Manag. 2020, 6, 62. [Google Scholar] [CrossRef]
Water Use Behaviour Studies (10 Articles) | Water Use Efficiency Studies (20 Articles) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Word Ranking | Word | Length | Count | Weighted Percentage | Word Ranking | Word | Length | Count | Weighted Percentage |
1 | water | 5 | 1316 | 2.51 | 1 | water | 5 | 3427 | 2.83 |
2 | climate | 7 | 592 | 1.13 | 2 | irrigation | 10 | 985 | 0.81 |
3 | change | 6 | 477 | 0.91 | 3 | use | 3 | 796 | 0.66 |
4 | farmers | 7 | 403 | 0.77 | 4 | soil | 4 | 786 | 0.65 |
5 | south | 5 | 336 | 0.64 | 5 | south | 5 | 679 | 0.56 |
6 | production | 10 | 314 | 0.60 | 6 | Africa | 6 | 667 | 0.55 |
7 | Africa | 6 | 307 | 0.59 | 7 | crop | 4 | 469 | 0.39 |
8 | use | 3 | 267 | 0.51 | 8 | farmers | 7 | 437 | 0.36 |
9 | footprint | 9 | 246 | 0.47 | 9 | production | 10 | 433 | 0.36 |
10 | adaptation | 10 | 236 | 0.45 | 10 | efficiency | 10 | 426 | 0.35 |
11 | used | 4 | 204 | 0.39 | 11 | drought | 7 | 397 | 0.33 |
12 | soil | 4 | 203 | 0.39 | 12 | management | 10 | 381 | 0.31 |
13 | crop | 4 | 187 | 0.36 | 13 | efficiency | 9 | 322 | 0.27 |
14 | indigenous | 10 | 173 | 0.33 | 14 | yield | 5 | 321 | 0.27 |
15 | agricultural | 12 | 162 | 0.31 | 15 | data | 4 | 320 | 0.26 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kotze, H.C.; Qotoyi, M.S.M.A.; Bahta, Y.T.; Jordaan, H.; Monteiro, M.A. A Systematic Review and Meta-Analysis of Factors Influencing Water Use Behaviour and the Efficiency of Agricultural Production in South Africa. Resources 2024, 13, 94. https://doi.org/10.3390/resources13070094
Kotze HC, Qotoyi MSMA, Bahta YT, Jordaan H, Monteiro MA. A Systematic Review and Meta-Analysis of Factors Influencing Water Use Behaviour and the Efficiency of Agricultural Production in South Africa. Resources. 2024; 13(7):94. https://doi.org/10.3390/resources13070094
Chicago/Turabian StyleKotze, Heinrich C., Mlibo S. M. A. Qotoyi, Yonas T. Bahta, Henry Jordaan, and Markus A. Monteiro. 2024. "A Systematic Review and Meta-Analysis of Factors Influencing Water Use Behaviour and the Efficiency of Agricultural Production in South Africa" Resources 13, no. 7: 94. https://doi.org/10.3390/resources13070094
APA StyleKotze, H. C., Qotoyi, M. S. M. A., Bahta, Y. T., Jordaan, H., & Monteiro, M. A. (2024). A Systematic Review and Meta-Analysis of Factors Influencing Water Use Behaviour and the Efficiency of Agricultural Production in South Africa. Resources, 13(7), 94. https://doi.org/10.3390/resources13070094