scholarly journals Benefits and Trade-Offs of Smallholder Sweet Potato Cultivation as a Pathway toward Achieving the Sustainable Development Goals

2021 ◽  
Vol 13 (2) ◽  
pp. 552
Author(s):  
Nouman Afzal ◽  
Stavros Afionis ◽  
Lindsay C. Stringer ◽  
Nicola Favretto ◽  
Marco Sakai ◽  
...  

The 2030 Agenda for Sustainable Development, including the 17 Sustainable Development Goals (SDGs), will shape national development plans up to 2030. SDGs 1 (No Poverty), 2 (Zero Hunger) and 7 (Affordable and Clean Energy) are particularly crucial for the poor, given they target the basic human needs for development and fundamental human rights. The majority of poor and malnourished people in the developing world live in rural areas and engage in farming as a key part of their livelihoods, with food and agriculture at the heart of their development concerns. Crops that can provide both food and energy without detrimental impacts on soil or water resources can be particularly beneficial for local development and smallholder farmers. Sweet potato, in particular, is starting to attract growing attention from researchers and policymakers as it has the potential to address these global problems and promote a sustainable society. We systematically review the literature to assess how sweet potato can support smallholder farmers to make progress towards the SDGs. We find that sweet potato has important untapped potential to advance progress, particularly linked to its versatility as a crop and its multiple end-uses. However, further research is paramount in order to better recognise and harness its potential to address the issues of food, nutrition and energy security in the context of a changing global climate. Further investigation is also needed into the trade-offs that occur in the use of sweet potato to support progress towards the SDGs.

Author(s):  
Caroline Mwongera ◽  
Chris M. Mwungu ◽  
Mercy Lungaho ◽  
Steve Twomlow

Climate-smart agriculture (CSA) focuses on productivity, climate-change adaptation, and mitigation, and the potential for developing resilient food production systems that lead to food and income security. Lately, several frameworks and tools have been developed to prioritize context-specific CSA technologies and assess the potential impacts of selected options. This study applied a mixed-method approach, the climate-smart agriculture rapid appraisal (CSA-RA) tool, to evaluate farmers’ preferred CSA technologies and to show how they link to the sustainable development goals (SDGs). The chapter examines prioritized CSA options across diverse study sites. The authors find that the prioritized options align with the food security and livelihood needs of smallholder farmers, and relate to multiple sustainable development goals. Specifically, CSA technologies contribute to SDG1 (end poverty), SDG2 (end hunger and promote sustainable agriculture), SDG13 (combating climate change), and SDG15 (life on land). Limited awareness on the benefits of agriculture technologies and the diversity of outcomes desired by stakeholders’ present challenges and trade-offs for achieving the SDGs. The CSA-RA provides a methodological approach linking locally relevant indicators to the SDG targets.


Forests ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 205 ◽  
Author(s):  
Reneema Hazarika ◽  
Robert Jandl

Since the inception of the Sustainable Development Goals (SDGs) in 2015, there has been much conceptual progress on the linkages across the 17 goals and their 169 targets. While this kind of conceptualization is an essential first step, action must now move towards systematic policy design, implementation, and multi-stakeholder collaborations that can translate such understanding into concrete results. This study is a reality check of such quasi-political global development agendas by the United Nations and its implications on Austrian forestry. Although forestry is not a goal in itself, forests as an element have been included under SDG15 (Life on Land). In this study, the linkages of forestry with potential synergies or trade-offs within and between the SDGs have been assessed through a literature survey and complemented with the perception of opinion leaders across the Austrian forestry sector on the same. The insights about awareness, design, implementation, and the necessity of mainstreaming the SDGs into the policy structure of Austria were reviewed. Besides facilitating the goals of sustainable forest management (SFM) in Austria, the SDG15 is not only strongly related to, but is likely to aid, the achievement of other SDGs, such as human health (SDG3), provision of clean water (SDG6), affordable & clean energy (SDG7), and climate action (SDG13). The opinion leaders perceive the SDGs as well-placed but broad. Some this broadness is a positive aspect of the SDGs. On the other hand, the 15-year (2015–2030) tenure of the SDGs is perceived to be inadequate to match the temporal scale of forest development. Apparently, the success of the SDGs will strictly depend upon coordination, governance, and most importantly, awareness among all stakeholders. Therefore, in addition to “leaving no one behind”, the SDGs must evidently provide incentives benefitting everybody.


2020 ◽  
Vol 12 (13) ◽  
pp. 5435
Author(s):  
Unai Villalba-Eguiluz ◽  
Andoni Egia-Olaizola ◽  
Juan Carlos Pérez de Mendiguren

This article analyzes the potential of the social and solidarity economy (SSE) to foster the sustainable development goals (SDGs). Local public policies play an important role in supporting both the SSE and SDGs. We select a case study of four SSE projects of a local development agency in the Basque Country, where the SSE has a considerable presence through diverse forms and experiences. We address how these projects, which are implemented in a coordinated and transversal manner, contribute to many specific targets within SDG goals number 8 (growth and decent work), 12 (sustainable consumption and production patterns), and 5 (gender equity). However, some limitations have also been identified: (i) trade-offs, in both SSE and SDGs, between economic growth and other aims centered on environmental sustainability; and (ii) avoidance of handling issues, which limits a systemic transformation.


2019 ◽  
Vol 11 (14) ◽  
pp. 3814 ◽  
Author(s):  
Khondokar M. Rahman ◽  
David J. Edwards ◽  
Lynsey Melville ◽  
Hatem El-Gohary

This research presents a conceptual model to illustrate how people living in rural areas can harness bioenergy to create beneficial ‘community-driven’ income-generating activities. The research is contextualised within the rural developing areas of Bangladesh where people live in abject poverty and energy deficiency. The research methodology applied in this study aims to determine the basic requirements for implementing community-based anaerobic digestion (AD) facilities and illustrate how an AD facility positively impacts upon the lives of rural communities directly after its installation. The survey results demonstrate that implementing a biogas plant can save 1 h and 43 min of worktime per day for a rural family where women are generally expected to for cook (by the long-term tradition). In addition to the positive impacts on health and climate change through adoption of clean energy generation, this time saving could be utilised to improve women′s and children’s education. The research concludes that, by providing easy access to clean bioenergy, AD can change people’s quality of life, yielding major social, economic and environmental transformations; key benefits include: extending the working day; empowering women; reducing indoor air pollution; and improving people’s health and welfare. Each of these tangible benefits can positively contribute towards achievement of the UN’s Sustainable Development Goals. This work demonstrates the potential to increase the implementation of AD systems in other developing world countries that have similar geographic and socioeconomic conditions.


2020 ◽  
Vol 12 (24) ◽  
pp. 10506
Author(s):  
Carlos de Miguel Ramos ◽  
Rafael Laurenti

The United Nations plans have marked global sustainable development for more than two decades. Most of the developed and developing countries have adopted these plans to achieve the Agenda 2030, currently formed by the 17 Sustainable Development Goals (SDGs). The analysis of the interactions between the SDGs is a growing area in research and of interest for governments. However, studies on how positive correlations can improve deteriorated goals are scarce for countries to date. This study aims at filling this gap by finding and quantifying the synergies and trade-offs among the SDGs of Spain. During the years 2000–2019, almost 80% of the SDG targets had significant interactions, either positive (synergy) or negative (trade-off). SDG 4 (quality education), SDG 5 (gender Equality) and SDG 7 (affordable and clean energy) contained the largest number of positive interactions, more than 60% in all of them. SDG 3 (good health and wellbeing) was strongly linked with indicators from SDG 4 (quality education) and also SDG 6 (clean water and sanitation). Furthermore, indicators from SDG 7 (affordable and clean energy) shared a high correlation with the ones from SGD 12 (responsible consumption and production) and SDG 15 (life on land). SDG 1 (no poverty), 2 (zero hunger), 6 (clean water and sanitation), 8 (decent work and economic growth) and 11 (sustainable cities and communities) had the slowest evolution during the years 2000–2019, showing contractions in some instances. We developed a regression model to assess the influence that selected targets have had on a less evolved target (target 8.6—proportion of youth not in education, employment or training). We managed to clarify high influence from target 1.3 (unemployment compensations), target 8.4 (domestic material consumption) and target 10.5 (non-performing loans) on the dependent variable. Identifying numerical dependencies between the SDGs may help nations to develop a roadmap where targets work as cogwheel towards achieving the Agenda 2030.


2020 ◽  
Vol 12 (20) ◽  
pp. 8729 ◽  
Author(s):  
Håvard Hegre ◽  
Kristina Petrova ◽  
Nina von Uexkull

The Sustainable Development Goals (SDGs) adopted in 2015 integrate diverse issues such as addressing hunger, gender equality and clean energy and set a common agenda for all United Nations member states until 2030. The 17 SDGs interact and by working towards achieving one goal countries may further—or jeopardise—progress on others. However, the direction and strength of these interactions are still poorly understood and it remains an analytical challenge to capture the relationships between the multi-dimensional goals, comprising 169 targets and over 200 indicators. Here, we use principal component analysis (PCA), an in this context novel approach, to summarise each goal and interactions in the global SDG agenda. Applying PCA allows us to map trends, synergies and trade-offs at the level of goals for all SDGs while using all available information on indicators. While our approach does not allow us to investigate causal relationships, it provides important evidence of the degree of compatibility of goal attainment over time. Based on global data 2000–2016, our results indicate that synergies between and within the SDGs prevail, both in terms of levels and over time change. An exception is SDG 10 ‘Reducing inequalities’ which has not progressed in tandem with other goals.


Author(s):  
Yijia Wang ◽  
Bojie Fu ◽  
Yanxu Liu

The Asian Alpine Belt (AAB) region extends from the Tibetan Plateau to the Caucasus. Rapid climate change and increasing anthropogenic pressures in the ecologically sensitive alpine area are making the achievement of sustainable development goals in the AAB more challenging. The water–food–energy–ecosystem (WFEE) nexus describes the trade-offs and synergies among the various elements of water, food, energy resources, and natural ecosystems relevant for sustainable development. The optimization of the WFEE nexus in the AAB region has become a vital issue for reaching sustainability in this ecologically fragile Eurasian region and its developing countries. In this paper, we broadly classify research into four types based on a compilation of recent research on the WFEE nexus in the AAB region: ecohydrological processes, agriculture and livestock, clean energy, and local social adaptation. We use the classification–coordination–collaboration approach to build an optimized conceptual framework to indicate a future research path. The outlook includes enhanced identification of the WFEE nexus, scientifically rational decision-making, and attention to cross-sector and transnational collaboration to support the realization of sustainable development goals in the AAB region.


2021 ◽  
Vol 13 (9) ◽  
pp. 1666
Author(s):  
Zinhle Mashaba-Munghemezulu ◽  
George Johannes Chirima ◽  
Cilence Munghemezulu

Reducing food insecurity in developing countries is one of the crucial targets of the Sustainable Development Goals (SDGs). Smallholder farmers play a crucial role in combating food insecurity. However, local planning agencies and governments do not have adequate spatial information on smallholder farmers, and this affects the monitoring of the SDGs. This study utilized Sentinel-1 multi-temporal data to develop a framework for mapping smallholder maize farms and to estimate maize production area as a parameter for supporting the SDGs. We used Principal Component Analysis (PCA) to pixel fuse the multi-temporal data to only three components for each polarization (vertical transmit and vertical receive (VV), vertical transmit and horizontal receive (VH), and VV/VH), which explained more than 70% of the information. The Support Vector Machine (SVM) and Extreme Gradient Boosting (Xgboost) algorithms were used at model-level feature fusion to classify the data. The results show that the adopted strategy of two-stage image fusion was sufficient to map the distribution and estimate production areas for smallholder farms. An overall accuracy of more than 90% for both SVM and Xgboost algorithms was achieved. There was a 3% difference in production area estimation observed between the two algorithms. This framework can be used to generate spatial agricultural information in areas where agricultural survey data are limited and for areas that are affected by cloud coverage. We recommend the use of Sentinel-1 multi-temporal data in conjunction with machine learning algorithms to map smallholder maize farms to support the SDGs.


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