scholarly journals Embedding the United Nations Sustainable Development Goals into Systems Analysis – Expanding the Food-Energy-Water Nexus

2020 ◽  
Author(s):  
Taco Niet ◽  
Nastaran Arianpoo ◽  
Kamaria Kuling ◽  
Andrew S. Wright
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Climate Adaptation ◽  
Natural Capital ◽  
Well Being ◽  
Ecological Diversity ◽  
Trade Offs ◽  
Development Goals

Abstract Background: There have been many studies that consider the nexus interactions between energy systems, land use, water use and climate adaptation and impacts. These studies have filled a gap in the literature to allow for more effective policymaking by considering the trade-offs between land use, energy infrastructure as well as the use of water for agriculture and providing energy services. Though these studies fill a significant gap in the modelling literature, we argue that more work is needed to effectively consider policy trade-offs between the 17 United Nations Sustainable Development Goals (SDGs) to avoid missing important interactions.Results: We examine the 17 SDGs to determine if it should be included in a modelling framework and the challenges of doing so. We show that the nexus of climate, land, energy and water needs to be expanded to consider economic well-being of both individuals and the greater economy, health benefits and impacts, as well as land use in terms of both food production and in terms of sustaining ecological diversity and natural capital. Such an expansion will allow systems models to better address the trade-offs and synergies inherent in the SDGs. Luckily, although there are some challenges with expanding the nexus in this way, we feel the challenges are generally modest and that many model structures can already incorporate many of these factors without significant modification.Finally, we argue that SDGs 16 and 17 cannot be met without open-source models and open data to allow for transparent analysis that can be used and reused with a low cost of entry for modellers from less well off nations.Conclusions: To effectively address the SDGs there is a need to expand the common definition of the nexus of climate, land, energy, and water to include the synergies and trade-offs of health impacts, ecological diversity and the system requirements for human and environmental well-being. In most cases, expanding models to be able to incorporate these factors will be relatively straight forward, but open models and analysis are needed to fully support the SDGs.

scholarly journals Embedding the United Nations sustainable development goals into energy systems analysis – expanding the food-energy-water nexus

2020 ◽  
Author(s):  
Taco Niet ◽  
Nastaran Arianpoo ◽  
Kamaria Kuling ◽  
Andrew Wright
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Natural Capital ◽  
Energy Systems ◽  
Well Being ◽  
Ecological Diversity ◽  
Trade Offs ◽  
Development Goals

Abstract BackgroundThere have been numerous studies that consider the nexus interactions between energy systems, land use, water use and climate adaptation and impacts. These studies have filled a gap in the literature to allow for more effective policymaking by considering the trade-offs between land use, energy infrastructure as well as the use of water for agriculture and providing energy services. Though these studies fill a significant gap in the modelling literature, we argue that more work is needed to effectively consider policy trade-offs between the 17 United Nations Sustainable Development Goals (SDGs) to avoid missing important interactions.ResultsWe examine the 17 SDGs individually to determine if it should be included in a modelling framework and the challenges of doing so. We show that the nexus of climate, land, energy and water needs to be expanded to consider economic well-being of both individuals and the greater economy, health benefits and impacts, as well as land use in terms of both food production and in terms of sustaining ecological diversity and natural capital. Such an expansion will allow energy systems models to better address the trade-offs and synergies inherent in the SDGs. Luckily, although there are some challenges with expanding the nexus in this way, we feel the challenges are generally modest and that many model structures can already incorporate many of these factors without significant modification.Finally, we argue that SDGs 16 and 17 cannot be met without open-source models and open data to allow for transparent analysis that can be used and reused with a low cost of entry for modellers from less well off nations.ConclusionsTo effectively address the SDGs there is a need to expand the common definition of the nexus of climate, land, energy, and water to include the synergies and trade-offs of health impacts, ecological diversity and the system requirements for human and environmental well-being. In most cases, expanding models to be able to incorporate these factors will be relatively straight forward, but open models and analysis are needed to fully support the SDGs.

scholarly journals Embedding the United Nations sustainable development goals into energy systems analysis: expanding the food–energy–water nexus

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Taco Niet ◽  
Nastaran Arianpoo ◽  
Kamaria Kuling ◽  
Andrew S. Wright
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Natural Capital ◽  
Energy Systems ◽  
Well Being ◽  
Ecological Diversity ◽  
Trade Offs ◽  
Development Goals

Abstract Background There have been numerous studies that consider the nexus interactions between energy systems, land use, water use and climate adaptation and impacts. These studies have filled a gap in the literature to allow for more effective policymaking by considering the trade-offs between land use, energy infrastructure as well as the use of water for agriculture and providing energy services. Though these studies fill a significant gap in the modelling literature, we argue that more work is needed to effectively consider policy trade-offs between the 17 United Nations sustainable development goals (SDGs) to avoid missing important interactions. Results We examine the 17 SDGs individually to determine if it should be included in a modelling framework and the challenges of doing so. We show that the nexus of climate, land, energy and water needs to be expanded to consider economic well-being of both individuals and the greater economy, health benefits and impacts, as well as land use in terms of both food production and in terms of sustaining ecological diversity and natural capital. Such an expansion will allow energy systems models to better address the trade-offs and synergies inherent in the SDGs. Luckily, although there are some challenges with expanding the nexus in this way, we feel the challenges are generally modest and that many model structures can already incorporate many of these factors without significant modification. Finally, we argue that SDGs 16 and 17 cannot be met without open-source models and open data to allow for transparent analysis that can be used and reused with a low cost of entry for modellers from less well-off nations. Conclusions To effectively address the SDGs, there is a need to expand the common definition of the nexus of climate, land, energy, and water to include the synergies and trade-offs of health impacts, ecological diversity and the system requirements for human and environmental well-being. In most cases, expanding models to be able to incorporate these factors will be relatively straight forward, but open models and analysis are needed to fully support the SDGs.

scholarly journals Modelling land system evolution and dynamics of terrestrial carbon stocks in the Luanhe River Basin, China: a scenario analysis of trade-offs and synergies between sustainable development goals

2021 ◽  
Author(s):  
Jiren Xu ◽  
Fabrice G. Renaud ◽  
Brian Barrett
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Land Cover ◽  
River Basin ◽  
Urban Growth ◽  
Sustainable Development Goals ◽  
Luanhe River Basin ◽  
Land System ◽  
Trade Offs ◽  
Development Goals

AbstractA more holistic understanding of land use and land cover (LULC) will help minimise trade-offs and maximise synergies, and lead to improved future land use management strategies for the attainment of Sustainable Development Goals (SDGs). However, current assessments of future LULC changes rarely focus on the multiple demands for goods and services, which are related to the synergies and trade-offs between SDGs and their targets. In this study, the land system (combinations of land cover and land use intensity) evolution trajectories of the Luanhe River Basin (LRB), China, and major challenges that the LRB may face in 2030, were explored by applying the CLUMondo and InVEST models. The results indicate that the LRB is likely to experience agricultural intensification and urban growth under all four scenarios that were explored. The cropland intensity and the urban growth rate were much higher under the historical trend (Trend) scenario compared to those with more planning interventions (Expansion, Sustainability, and Conservation scenarios). Unless the forest area and biodiversity conservation targets are implemented (Conservation scenario), the forest areas are projected to decrease by 2030. The results indicate that water scarcity in the LRB is likely to increase under all scenarios, and the carbon storage will increase under the Conservation scenario but decrease under all other scenarios by 2030. Our methodological framework and findings can guide regional sustainable development in the LRB and other large river basins in China, and will be valuable for policy and planning purposes to the pursuance of SDGs at the sub-national scale.

scholarly journals Brazilian Hydropolitics under the United Nations 2030 Agenda

2020 ◽  
Vol 21 ◽  
Author(s):  
Isabela Battistello Espindola ◽  
Maria Luisa Telarolli de Almeida Leite ◽  
Luis Paulo Batista da Silva
Keyword(s):  
Sustainable Development ◽  
United Nations ◽  
Sustainable Development Goals ◽  
Well Being ◽  
2030 Agenda ◽  
Development Agenda ◽  
Development Goals ◽  
The United Nations

The global framework set forth by the United Nations 2030 Agenda and its Sustainable Development Goals (SDG) include water resources in their scope, which emphasizes how water assets and society well-being are closely intertwined and how crucial they are to achieving sustainable development. This paper explores the role of hydropolitics in that Post-2015 Development Agenda and uses Brazilian hydropolitics set to reach SDG6 as a case study.

scholarly journals Contribution of Ecosystem Services to Achievement of the Sustainable Development Goals

Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 8 ◽  
Author(s):  
Veidemane
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Sustainable Development ◽  
Ecosystem Services ◽  
Sustainable Development Goals ◽  
Well Being ◽  
Trade Off ◽  
The Sustainable Development ◽  
Development Goals ◽  
Water Ecosystems

The sustainable development goals (SDGs) for 2030 are established to address global challenges including environment and human well-being. The SDGs are interconnected and achievement of them requires consideration of the planet’s ecosystems and resources - land, water and air. Ecosystem services (ES) approach has a high potential for better planning, policy and decision making. Understanding how different ecosystems (e.g., forests, rivers, wetlands, grasslands) contribute to the social and economic benefits is critical to ensure the long-term biodiversity protection and sustainable use of ecosystems. A conceptual framework linking biodiversity and ecosystem condition (its structure and functions), and ES to human well-being has been well-established in EU by so called MAES process (Mapping and Assessment of Ecosystem Services) lead by the European Commission. The framework is applied in recent research studies and projects, as well as national MAES processes. Various methods are applied for MAES in terms to determine biophysical, economic and social values and to deliver integrated ecosystem assessment. Assessment of ES and trade off analysis shall provide a new perspective for land use planning and decision making at different administrative and spatial levels and in different sectoral policies. EU and national policies for instance on agriculture, fishery, forestry, climate should account the benefits provided by relevant ecosystems and to ensure that the values are not diminished but rather enhanced during the implementation of the policies. Terrestrial and water ecosystems are interconnected as land-based human activities creates pressure that impacts the conditions in water ecosystems and thus delivery of ES by rivers and lakes. For example, intensive agricultural land use produces food for people and income; however, the activity also most frequently causes problems with water quality and quantity in the catchment area and a loss of biodiversity. A risk of such trade-off shall be handled in policy development. Ecosystems also contributes to the resilience of communities by reducing the risk of natural hazards and mitigate adverse impacts. Regulating services such as flood control are substituting investments in flood protection ensured by forests, wetlands and grasslands instead of human built infrastructure. Appropriate land cover and land use shall serve as a basic flood protection measure. Natural processes are increasingly recognised to create new-type solutions that use and deploy the properties of natural ecosystems and their services in an “engineered” way. A wide range of measures called also as nature-based solutions provide another opportunity to work with nature towards global sustainability.

scholarly journals Women’s Health and Well-Being in the United Nations Sustainable Development Goals: A Narrative Review of Achievements and Gaps in the Gulf States

2020 ◽  
Vol 17 (3) ◽  
pp. 1059 ◽  
Author(s):  
Suhad Daher-Nashif ◽  
Hiba Bawadi
Keyword(s):  
Sustainable Development ◽  
United Nations ◽  
Women’S Health ◽  
Women's Health ◽  
Sustainable Development Goals ◽  
Well Being ◽  
Narrative Review ◽  
Awareness Campaigns ◽  
Development Goals ◽  
Health And Well Being

Background: In 2014, United Nations member states proposed a set of sustainable development goals (SDGs) to help further the millennium development goals that they had proposed in New York in 2000. Of these 13 SDGs, Goal 3 (i.e., SDG 3) was titled “Good Health and Well-Being.” This goal highlighted women’s health and well-being via two key objectives. The first, SDG 3.1, aimed to reduce maternal mortality rates (MMR) and the second, SDG 3.7, aimed to ensure access to sexual and reproductive health care services. Drawing on all the latest reports, which have been released by Gulf Cooperation Council states (GCC), this paper sheds light on GCC states’ work on women’s wellbeing through SDG 3. Aim: the paper aims to review GCC states’ work on women’s wellbeing in SDG3, which achievements they obtained, which tools they used and which gaps still exist. The paper aims to explain the socio-cultural background behind these achievements, tools, and gaps. Methodology: For the purpose of this study, we used narrative review approach through which we reviewed reports from 2017 and 2018 on SDGs published online by the Ministry of Development and Planning of each GCC state, and latest reports of the WHO on the same states. Findings: the study found similarities and differences between different GCC states, which in turn reveals gaps and areas that are not meeting women’s needs. The findings show that MMR in GCC countries has declined by nearly half. The main strategies they adopted to address SDG 3.1 included awareness campaigns, improving access to healthcare systems and training professionals. The tools used to meet SDG 3.7 included training health professionals and raising awareness of consanguinity. The study reveals several gaps, such as a lack of discussion around challenges and barriers, and a lack of linkage between an SDG and the targets contained within it. Conclusion: The paper concludes that there is a much greater emphasis on reducing MMR, compared to providing access to sexual and reproductive healthcare. This difference is due to different socio-cultural framing of each of these two issues.

scholarly journals Towards Understanding Interactions between Sustainable Development Goals: The Role of Climate-Well-Being Linkages. Experiences of EU Countries

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2025
Author(s):  
Agnieszka Sompolska-Rzechuła ◽  
Agnieszka Kurdyś-Kujawska
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Well Being ◽  
Good Health ◽  
Linear Ordering ◽  
Health Crisis ◽  
The Sustainable Development ◽  
Eu Countries ◽  
Trade Offs ◽  
Development Goals

The 2030 Agenda with 17 Sustainable Development Goals (SDGs) is a challenge for all countries in the world. Their implementation may turn out to be a compromise or the creation of effective interactions that dynamize sustainable development. To achieve the SDGs, it is essential to understand how they interact with each other. It seems that in the times of the climate and health crisis caused by the COVID-19 pandemic, caring for the environment and ensuring a healthy life and promoting well-being at all ages is the basis for environmental, economic and social sustainable development. The aim of the study is to compare the degree of implementation of the goals of sustainable development in the scope of goal 13 “Climate action” and goal 3 “Good health and well-being” in the EU countries. In addition, we analyze how trade-offs and synergies between these goals have developed. Data from the Eurostat database were used to achieve the goal. The study used the method of multivariate comparative analysis—linear ordering of objects. The technique for order preference by similarity to an ideal solution (TOPSIS) method was used to measure the studied phenomenon. The results indicate a different degree of implementation of the sustainable development goals related to climate change and the improvement of health and social well-being. Only a few countries have synergy in achieving these goals, most of them compromise, manifesting themselves in improving one goal over another. In the group of analyzed EU countries, a simultaneous deterioration in the effectiveness of achieving both objectives were also noted. Our research also shows that energy policy is an important attribute in improving the achievement of these goals. The conducted analysis fills the gap in the research on the implementation of selected sustainable development goals and their interactions. It contributes to the discussion on increasing the links between them, in particular with regard to emerging compromises. This research can provide a basis for re-prioritizing and intensifying the actions where individual EU countries are lagging most behind.

A Machine Learning Sustainable Development Goals Model for Water Resources Serious Gaming. Case Study:  Combeima River, Colombia.

2021 ◽  
Author(s):  
Laura Viviana Garzon Useche ◽  
Karel Aldrin Sánchez Hernández ◽  
Gerald Augusto Corzo Pérez ◽  
German Ricardo Santos Granados
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Climate Adaptation ◽  
Complex Model ◽  
Mobile App ◽  
Climate Change Scenarios ◽  
Development Goals

<p>The importance of knowing and representing rural and urban development in water management is vital for its sustainability.  An essential part of the management required that stakeholders are more aware of the consequences of decisions and in some way, can link decisions towards sustainability.  For this, a mobile app serious game called Water Citizens has been proposed as knowledge dissemination and to provide a better understanding of the way decisions affect Sustainable Development Goals (SDGs). A complex model of a pilot region (Combeima in Ibague, Colombia) has been developed, and the model results are few into equations to estimate fluctuations of SDGs in the region. Running this complex model in real-time, for a mobile application, requires an extensive high-performance computing system linked to large and complex network setup. To solve this problem, a fast yet accurate surrogate model is proposed.</p><p>Therefore, this study contemplates an analysis of methods to forecast sustainable development indicators evaluated through climate change scenarios for a period between 1989-2039. The proposed scenarios associated the public health, livestock, agriculture, engineering, education and environment sectors with climate variables, climate change projections, land cover and land use, water demands (domestic, agricultural and livestock) and water quality (BOD and TSS). Generating the possibility that each player can make decisions that represent the actions that affect or contribute to the demand, availability and quality of water in the region.</p><p>Consequently, a set of indicators were selected to recreate the dimensions of each sector and reflect its relationship with the Sustainable Development Objectives, as opposed to the decisions made by each player. In addition, three categories were considered for the levels of sustainability: low (0.0 - 0.33), medium (0.34 - 0.66) and high (0.67 - 1.0) for the calculated SDG values. </p><p>Self-learning techniques have been employed in the analysis of decision-making problems. In this study, the nearest K neighbours (k-NN) and a multilayer perceptron network (MLP) were used. Through an analysis based on the responses of the players and sustainability indexes, a multiple correlation analysis was developed in order to consolidate the learning dataset, which was randomly partitioned in proportions 0.7 and 0.3 for the training and test subsets respectively. Subsequently, the model fit and performance was carried out, analysing the MSE error metric and confusion matrix.</p><p>Finally, the results of this study will allow to determine the potential of supervised learning models as a decision-making tool for the evaluation of sustainable development, as well as to obtain a better abstraction and representation of the water resource to the challenges related to climate adaptation and water sustainability measures of citizen action, besides generating new approaches for the use of artificial intelligence in land use planning and climate adaptation processes.</p>

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