scholarly journals An integrated assessment model for food security under climate change for South Asia

Heliyon ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e06707
Author(s):  
Shahzad Alvi ◽  
Roberto Roson ◽  
Martina Sartori ◽  
Faisal Jamil
2020 ◽  
Author(s):  
Jonathan Doelman ◽  
Tom Kram ◽  
Benjamin Bodirsky ◽  
Isabelle Weindle ◽  
Elke Stehfest

<p>The human population has substantially grown and become wealthier over the last decades. These developments have led to major increases in the use of key natural resources such as food, energy and water causing increased pressure on the environment throughout the world. As these trends are projected to continue into the foreseeable future, a crucial question is how the provision of resources as well as the quality of the environment can be managed sustainably.</p><p>Environmental quality and resource provision are intricately linked. For example, food production depends on availability of water, land suitable for agriculture, and favourable climatic circumstances. In turn, food production causes climate change due to greenhouse gas emissions, and affects biodiversity through conversion of natural vegetation to agriculture and through the effects of excessive fertilizer and use of pesticides. There are many examples of the complex interlinkages between different production systems and environmental issues. To handle this complexity the nexus concept has been introduced which recognizes that different sectors are inherently interconnected and must be investigated in an integrated, holistic manner.</p><p>Until now, the nexus literature predominantly exists of local studies or qualitative descriptions. This study present the first qualitative, multi-model nexus study at the global scale, based on scenarios simultaneously developed with the MAgPIE land use model and the IMAGE integrated assessment model. The goal is to quantify synergies and trade-offs between different sectors of the water-land-energy-food-climate nexus in the context of sustainable development goals (SDGs). Each scenario is designed to substantially improve one of the nexus sectors water, land, energy, food or climate. A number of indicators that capture important aspects of both the nexus sectors and related SDGs is selected to assess whether these scenarios provide synergies or trade-offs with other nexus sectors, and to quantify the effects. Additionally a scenario is developed that aims to optimize policy action across nexus sectors providing an example of a holistic approach that achieves multiple sustainable development goals.</p><p>The results of this study highlight many synergies and trade-offs. For example, an important trade-off exists between climate change policy and food security targets: large-scale implementation of bio-energy and afforestation to achieve stringent climate targets negatively impacts food security. An interesting synergy exists between the food, water and climate sectors: promoting healthy diets reduces water use, improves water quality and increases the uptake of carbon by forests.</p>


2020 ◽  
pp. 2040004
Author(s):  
ROBERT MENDELSOHN

The crowning achievement of the many published papers and books that William Nordhaus has published on climate change is the development of a simple Integrated Assessment Model of climate change. Embedding natural science insights into an economic framework reveals one can “solve” this difficult problem “for the greatest good, for the greatest number, and for the longest time”. Making certain that all the pieces are empirically based, and fit tightly together, and are internally consistent reveals this to be a masterpiece in the fine art of Integrated Assessment.


2020 ◽  
Author(s):  
Charlotte Marcinko ◽  
Andrew Harfoot ◽  
Tim Daw ◽  
Derek Clarke ◽  
Sugata Hazra ◽  
...  

<p>The United Nations Sustainable Development Goals (SDGs) promote sustainable development and aim to address multiple challenges including those related to poverty, hunger, inequality, climate change and environmental degradation. Interlinkages between SDGS means there is potential for interactions, synergies and trade-offs between individual goals across multiple temporal and spatial scales. We aim to develop an Integrated Assessment Model (IAM) of a complex deltaic socio-ecological system where opportunities and trade-offs between the SDGs can be analysed. This is designed to inform local/regional policy. We focus on the Sundarban Biosphere Reserve (SBR) within the Indian Ganga Delta. This is home to 5.6 million often poor people with a strong dependence on rural livelihoods and also includes the Indian portion of the world’s largest mangrove forest – the Sundarbans. The area is subject to multiple drivers of environmental change operating at multiple scales (e.g. global climate change and sea-level rise, deltaic subsidence, extensive land use conversion and widespread migration). Here we discuss the challenges of linking models of human and natural systems to each other in the context of local policy decisions and SDG indicators. Challenges include linking processes derived at multiple spatial and temporal scales and data limitations. We present a framework for an IAM, based on the Delta Dynamic Emulator Model (ΔDIEM), to investigate the affects of current and future trends in environmental change and policy decisions within the SBR across a broad range of sub-thematic SDG indicators. This work brings together a wealth of experience in understanding and modelling changes in complex human and natural systems within deltas from previous projects (ESPA Deltas and DECCMA), along with local government and stakeholder expert knowledge within the Indian Ganga Delta.</p>


2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Tatiana Ermolieva ◽  
Esther Boere ◽  
Anne Biewald ◽  
Petr Havlík ◽  
Aline Mosnier ◽  
...  

Stochastic agro-economic model GLOBIOM is used to demonstrate how best to design and evaluate the CAP’s financial and structural measures, both individually and jointly, in the face of inherent uncertainty and risk. The model accounts for plausible shocks simultaneously and derives measures that are robust against all shock scenarios; it can thus help avoid the irreversibility and sunk costs that occur in unexpected scenarios.To allow adequate agricultural production, we show that the distribution of CAP funds needs to account for exposure to risks, security targets, and the synergies between policy measures, including production, trade, storage, and irrigation technologies. 


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