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Voluntary Standard Systems
Emerging to the forefront of sustainable production and consumption are a promising and rapidly evolving concept known as Voluntary Standard Systems (VSS). They encompass the three pillars of sustainability – social, environmental and economic aspects and consequently they can be considered as a tool, which makes sustainable development visible. Currently, they are becoming a significant element in international trade and in the promotion of sustainable development strategies, especially in the context of globalised markets and supply chains. This volume provides a comprehensive overview of the current VSS concepts: from their nature and functioning, to the future outlook for their development. It places VSS in the broader context of global development issues and challenges, including development policy and international sustainability commitments, progress towards achieving ‘green economy’ and meeting climate protection targets. The volume contains also a representative selection of case studies which demonstrate their wide range of application in different sectors of the economy.
SDG2 - Zero Hunger
SDG2 links food security, nutrition and a sustainable but climate resilient agriculture. This multi-dimensional goal encompasses several specific targets and indicators, aimed at ending hunger, improving nutrition and achieving food security through sustainable and resilient agriculture and income increase.
SDG2 - Zero Hunger
SDG2 links food security, nutrition and a sustainable but climate resilient agriculture. This multi-dimensional goal encompasses several specific targets and indicators, aimed at ending hunger, improving nutrition and achieving food security through sustainable and resilient agriculture and income increase.
Transitioning to Zero Hunger
In 2015, the United Nations decided to establish the goal of achieving “zero hunger” in the world by 2030 through “outcome targets” such as eliminating hunger and improving access to food, ending all forms of malnutrition, promoting sustainable and resilient agriculture, and maintaining genetic diversity in food production. As a result of this decision, strategies are under way in different countries around the world in the form of political, academic, development, and non-governmental organization projects and programs. Five years later, these strategies have certainly generated results that need to be documented and analyzed so as to answer the following questions: what are the pro...
Machine Learning for Ecology and Sustainable Natural Resource Management
Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning...
Integrated development and management of water resources for productive and equitable use in the Indrawati River Basin, Nepal
This paper has benefited by four detailed case studies2 conducted in the Indrawati river basin by IWMI/Nepal and Water and Energy Commission Secretariat/Nepal (WECS/Nepal). It documents the major concerns in relation to Melamchi project on the Indrawati basin community,and illustrates the preliminary assessment of major project impacts in the basin. This paper particularly concentrates on, the likely impacts of the water diversion project on the economic and social fronts and local water use decisions, and also on the local environment. The major findings of the study in the Indrawati basin are summarized below.
