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Holistic education empowers learners with a transformative impact and improves their living conditions by enhancing their core competencies. A project-based learning approach helps to further facilitate environmental improvement initiatives at individual and institutional levels through a whole-school approach, ensuring sustainability and contributing to measurable results. GREEN Olympiad is a step in this direction and an example of a programme transcending towards education for sustainable development goals.
With an increase in human aspirations and urbanization, development is happening at a largely unsustainable pace. Hope still resides in the power of education to offset unsustainable actions by promoting Environmentally Responsible Behaviour (ERB) amongst our younger citizenry. ERB can put knowledge into practice, thereby ensuring sustainable environments, healthy communities, and social cohesion. Through programmes like GREEN Olympiad, students are sensitized to enhance their knowledge levels and pave the way to become environment-conscious citizens.
The study presents an integrated geospatial and machine learning framework to assess forest and biodiversity vulnerability in Assam, India, under projected climate stress scenarios. Using multi-source remote sensing datasets and climate variables, the work applies GIS-based spatial modeling and machine learning algorithms to identify climate hotspots, evaluate forest resilience, and highlight biodiversity-rich yet highly vulnerable landscapes.
Silk protein sericin is a natural polymer extracted from the silkworm Bombyx mori, known for its eco-friendliness and biocompatibility. Silkworm cocoons, mainly composed of silk fibroin, possess excellent adsorption capabilities. The porous and fibrous nature of the cocoon provides a large surface area, offering a sustainable, cost-effective alternative to synthetic adsorbents and water treatment due to their biocompatibility and biodegradability.
Urbanization presents multifaceted challenges to urban and peri-urban agriculture (UPA), disrupting the ecological balance and food security in rapidly expanding metropolitan regions. The Kolkata Metropolitan Area (KMA) of India exemplifies these challenges, with its UPA system being increasingly pressurized by urban sprawl and environmental degradation. Within the broader discourse on sustainable urban food systems, prioritizing the ecological integrity of UPA is critical for promoting community resilience.
The Andaman Islands, hosting one of the most enriched marine ecosystems globally, have faced significant ecological threats due to various physico-climatic changes over recent decades, adversely impacting approximately 25 mangrove species and 135 coral species. To evaluate these impacts systematically on regional marine ecology, this study develops and applies a coral habitat quality index (CHI) along the eastern Andaman coast using an integrated approach combining key physico-climatic indicators, participatory coastal community appraisals, and geospatial analysis.
Access to clean drinking water remains a global concern, primarily due to the presence of biological, inorganic, and organic pollutants. Among the biological contaminants, waterborne pathogens pose a significant threat to human well-being. Since nanoparticle-based biosensors have a higher sensitivity for detecting bacteria than conventional detection techniques, they have become increasingly prevalent.
Lifestyle for the Environment’ (LiFE), introduced by India’s Prime Minister at COP26, emphasises behavioural shifts for sustainable consumption. This chapter explores the integration of LiFE into multilateral processes to strengthen global sustainability efforts. It analyses opportunities within the G20, the Sustainable Development Goals (SDGs), the United Nations Framework Convention on Climate Change (UNFCCC), and the United Nations General Assembly (UNGA) to embed lifestyle-centric approaches into global governance.
Assam, one of India’s richest regions in terms of biodiversity, faces significant environmental threats due to regional climate variability and anthropogenic pressures. This study explores a GIS and machine learning (ML)-based approach to assess the impact of climate change on forest and biodiversity vulnerability across the state.
India’s continued membership in the Commonwealth has led to an emergence o f two opposing perceptions. The first group perceives it as a relevant organisation, and India should continue its membership to pursue its varied interests. The second group relegates it as a relic o f the colonial past and strongly advocates for exiting the organisation.