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All over the world, waste and its disposal are becoming a more prominent issue, as landfills swell up and growing evidence points to its contribution to climate change and environmental degradation. In the developing world, waste pickers sort through solid waste and sell it to vendors, who will recycle the product into something consumable. The work they do is vital to climate change mitigation, as well as urban cleanliness. In a way, waste pickers, especially in India, are vehicles of environmental justice, but they are often discriminated against and subjected to inhumane working conditions. In this environment, the pandemic hit, making waste pickers' already precarious life even worse. This paper attempts to fill the gap in the academic literature by compiling a systemized literature review of the impacts of COVID-19 on waste-pickers' lives using an environmental justice perspective. The review also uses a Feminist Political Ecology perspective to illuminate the double jeopardy that female waste pickers face in the era of COVID-19, which academia often ignores. Ultimately, this paper shows that COVID-19 exacerbated the preexisting injustices that the waste picker community face and created an immense burden on women. This paper will show that it is important to notice the differentiation between female and male waste picker challenges, especially at the crux of the COVID-19 pandemic. This paper has important policy implications as well as research considerations for both environmental justice and feminist political ecology scholars. [ABSTRACT FROM AUTHOR]

This paper assesses the feasibility of India achieving its stated objective of getting to net zero carbon emissions by 2070 and outlines a possible strategy for the next 10 years consistent with this goal. It recommends a combination of price-based measures and several sector-specific interventions. The ideal price-based measure would be a carbon tax. This may not be feasible for various reasons, but in its absence a well-designed emissions trading system, as described in the paper, could make a major contribution in reducing emissions. On sectoral interventions, the critical areas over the next 10 years would be (i) accelerated expansion of various forms of renewable energy capacity, which will require several policy changes, (ii) electrification of transport, and (iii) a shift from private to public transport in urban areas and from road to rail for freight. Action will also be necessary in other sectors such as industry, agriculture, and buildings, but a detailed strategy for these may take more time to put in place. Since responsibility for action in all these areas is spread across different ministries in the central government and, in many cases, state governments, evolving an internally consistent and cost-effective strategy will present a major challenge. There is a case for setting up a high-level commission chaired by the Prime Minister to approve a national strategy. The paper estimates that the additional investment needed to make this transition will be about 2 per cent of India's GDP by 2030, much of which will have to come from additional public and private savings. In this context, some form of carbon pricing would help generate additional revenue. [ABSTRACT FROM AUTHOR]

Purpose: The paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016. Design/methodology/approach: The autoregressive distributed lag (ARDL), canonical cointegration regression (CCR) and fully modified ordinary least square (FMOLS) models are used in the paper. Findings: A long-run relationship is found between climate change and rice production in India. Results report that ecological footprint and carbon footprint spur long-term rice production. While rainfall boosts rice crop productivity in the short term, it has a negative long-term impact. Further, the findings of ARDL models are validated by other cointegration models, i.e., the FMOLS and CCR models. Research limitations/implications: This study provides insights into the role of ecological footprint and carbon footprint along with climate variables in relation to rice production. Originality/value: In the literature, the effects of ecological and carbon footprint on rice production are missing. Therefore, this is the first study to empirically examine the impact of climate change along with ecological footprint and carbon footprint on rice production in India. [ABSTRACT FROM AUTHOR]

Under Green Credit Program launched by the Ministry of Environment, Forest and Climate Change, Government of India, green credits will initially be generated from water conservation and afforestation projects. This is a market-based mechanism to incentivize voluntary environmental actions by various stakeholders including cooperatives. India has about 0.8 million primary level cooperatives working in diverse fields. There are other types of cooperatives at District, Apex and Multi-State levels. The total number of cooperatives of all types is little less than 0.9 million. This paper presents the argument that cooperatives have a big role in the green credit program to fight climate change as an economic activity. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to suggest an accounting framework for India for implementation of its nationally determined contributions (NDCs) and design the appropriate modality for reporting its capacity building needs and priorities in a manner that is in consonance with the provisions of the Paris Rule book from the perspective of a developing country. The suggested accounting methodology considers India's national greenhouse gas (GHG) inventory and climate mitigation policies. The Key Category Analysis concept of the Intergovernmental Panel on Climate Change for accounting GHG inventory estimation at the national level is used to identify and rank the key inventory categories for India. Accounting of various national level mitigation policies is undertaken by assessing their impact on the key categories, subsequently recognizing 'Key Policies' in accordance with the provisions of the Paris rulebook. 'Key Policies' are found to have a definite role in driving the progress of implementation of NDCs. The study recommends a modality that developing countries can use to report their needs for capacity building support for full implementation of their 'key policies' while accounting their future NDCs, using the flexibilities provided under the Paris Rule book. [ABSTRACT FROM AUTHOR]

Tropical inland capture fisheries are susceptible to a series of vulnerabilities such as habitat destruction, biodiversity loss, pollution, overfishing, invasive species and anthropogenic climate change. A comprehensive review of the impact of climatic uncertainties on Indian inland fisheries has not been adequately attempted yet. Recent approaches emphasizing ecosystem-based management in a regional context, specific to inland fisheries for combating climatic changes, have not been reported to date. The paper presents a critical bibliometric review of the climatic vulnerabilities faced by Indian inland fishery resources and various adaptive and mitigation strategies put forward by the country for the sustainability of the resources. In this communication, a systematic review of the impact of climate change and other stressors on various inland ecosystems of the subcontinent and the ecosystem-based management strategies adopted in India is presented and discussed. [ABSTRACT FROM AUTHOR]

Climate change poses serious risks to Indian agriculture as half of the agricultural land of the country is rainfed. Climate change affects crop yield, soil processes, water availability, and pest dynamics. Several adaptation strategies such as heat- and water stress-tolerant crop varieties, stress-tolerant new crops, improved agronomic management practices, improved water use efficiency, conservation agriculture practices and improved pest management, improved weather forecasts, and other climate services are in place to minimize the climatic risks. The agriculture sector contributes 14% of the greenhouse gas (GHG) from the country. Mitigation of GHG emission from agriculture can be achieved by changing land-use management practices and enhancing input-use efficiency. Experiments in India showed that methane emission from lowland rice fields can be reduced by 40–50% with alternate wetting and drying (AWD), growing shorter duration varieties, and using neem-coated urea according to soil health card (SHC) and leaf color chart (LCC). Dry direct-seeding of rice, which does not require continuous soil submergence, can reduce methane emission by 70–75%. Sequestration of carbon (C) in agricultural soil can be promoted with the application of organic manure, crop residues, and balanced nutrients. India has taken several proactive steps for addressing the issues of climate change in agriculture. Recently, it has also committed for reducing GHG emission intensity by 45% by 2030 and achieving net zero emission by 2070. The paper discusses the major impacts of climate change, potential adaptation, and mitigation options and the initiatives of Govt. of India in making Indian agriculture climate-smart. [ABSTRACT FROM AUTHOR]

For millennium, mining sector is a source not only of mineral extraction for industrialization, economic expansion, and urban sprawling, but also of socio-environmental concern. It, therefore, has been the central attention of the business and public policy sustainable development scheme for several years. Thus, gradually, mining industries are getting involved with the concerns such as carbon emissions mitigation and carbon accounting to govern a rhetorical shift towards "sustainable mining". However, there is scarce knowledge about how the emergence of a "green and self-sustaining" forestry reclamation strategy coupled with potential carbon sequestration capacity in degraded mining areas will be an impeccable option for achieving sustainable development goal-13 (SDG-13: climate action) and ecosystem services during United Nation decade of ecosystem restoration. This paper reviews the extent to which reforestation and sustainable land management practices that employed to enhance ecosystem carbon pool and atmospheric CO2 sequestration capacity to offset CO2 emission and SOC (soil organic carbon) losses, as consequences of coal mining, to partially mitigate global climate crisis. Moreover, future research is required on mining innovation concepts and its challenges for designing an SDG impact framework, so that it not only synergies amongst SDGs, but also trade-offs between each individual "politically legitimized post-2015 development agenda" (i.e. UNSDGs) could be depicted in a systematic way. In a developing country like India, it is also an utmost need to assess the environmental impact and economic performance of such technological innovation and its possible synergistic effect. [ABSTRACT FROM AUTHOR]

Recently, ecotourism has been identified as an adaptation strategy for mitigating climate change impacts, as it can optimize carbon sequestration, biodiversity recovery, and livelihood benefits and generate new opportunities for the sustenance of the economy, environment, and society of the area endowed with natural resources and cultural values. With the growing responsibility at the global level, ecotourism resource management (ERM) becomes inevitable for its sustainable requirements. The integration of ecological and socio-economic factors is vital for ERM, as has been demonstrated by developing an Ecotourism Sustainability Maximization Model for an area under study, that is the Yuksam-Dzongri corridor (also known as Kangchendzonga Base Camp Trek), in the Khangchendzonga Biosphere Reserve (KBR), Sikkim, India. This model is based on the earlier developed ecotourism sustainability assessment (ESA) framework by the authors, which is based on the hierarchical relationship among ecotourism principles, criteria, indicators, and verifiers. Employing such relationships, this paper attempts to maximize ecotourism sustainability (ES) as a function of its sustainability principles, criteria, indicators, and verifiers, subject to the constraints identified through the safe minimum standard (SMS) approach by employing linear programming. Using 58 indicators as decision variables and 114 constraints, the model resulted in a maximum level of achievable ES with a score of 84.6%, allowing the resultant optimum values of the indicators to be maintained at the operational level. A central tenet of the model is the collective responsibility and adoption of a holistic approach involving the government, tourists, tourism enterprises, and local people. [ABSTRACT FROM AUTHOR]

Deployment of electric vehicles (EVs) is being widely used by governments across the world as a policy tool to mitigate the catastrophic effects of global warming and climate change. However, the demand for EVs has been slow in many large automotive markets, including India. To increase the uptake of EVs in India, the central government has introduced a new consumer incentive program and a special tax rate for EVs. In this paper, we estimate the cost-effectiveness of these EV promotion programs in achieving CO2 emission reduction for each State in India. We use emission data of the chosen vehicle and CO2 emission intensity data of each State's power grid for computation. The results are then compared to other benchmark investments in climate change mitigation. The findings indicate that subsidizing EVs may not be the most cost-efficient method to achieve CO2 reduction. [ABSTRACT FROM AUTHOR]

Justice and responsibility are central notions shaping the international climate negotiations. However, countries have different perspectives on how to translate these concepts into solutions for climate change. In this process, actors such as the European Union (EU) play a central role, by trying to persuade other large greenhouse gas (GHG) emitters to take on their (historical) responsibilities and by supporting developing countries. At the same time, China and India have become central actors in international climate negotiations. Due to their rapid economic growth and rising GHG emissions, their climate action is crucial for achieving global goals, while their historical emissions are very different from those of Western countries. To shed light on the EU's perspective on climate justice, and the particular role of China and India therein, this article analyses Members of European Parliament's (MEPs) narratives in plenary debates on foreign climate policy between 1996 and 2019. MEPs' views contribute to shaping the EU's position on the topic, but also provide useful insights into the political dynamics of the debate. The paper finds that climate justice is mentioned in less than half of the MEPs' speeches, but that its salience increased over time and became more diverse in terms of different dimensions of climate justice. We also uncover that MEPs' positions on China and India evolved with the rise in their emissions, becoming increasingly critical over time. However, there is a significant variance amongst political groups' positions, between those on the right and the left end of the political spectrum. [ABSTRACT FROM AUTHOR]

Climate governance studies suggest that the way climate risk and vulnerability are conceptualized, defined, and managed has consequences for people and places. In this paper, we analyze how different climate risk discourses and their vulnerability portrayals are constructed and have evolved in Bhubaneswar city in India. We conduct a Critical Discourse Analysis of various climate action plans and policy documents, as well as a thematic analysis of semi-structured interviews to interpret their discursive positions on climate issues. Based on our findings, we highlight three main discourses through which risk is constructed – discourses of inevitability, collocation, and intrinsic necessity. The vulnerability portrayals across these discourses are undergoing a transition from a pure outcome vulnerability approach toward a context-based approach, while their framings range from vulnerability to events, places, and social groups. The intertwining of discursive constructions of risk and vulnerability contributes toward constantly forming and re-forming risk and governance objects (and subjects), and the reproduction and resistance to certain forms of knowledge that limit and enable governance responses to climate change at the same time. [ABSTRACT FROM AUTHOR]

Scientific research has revealed that global warming is getting irreversible with the passage of time and it is largely a human-induced phenomenon. India is one of the top three emitters of carbon dioxide in the world. However, the general public in India is unaware of what actually causes anthropogenic (human-induced) climate change. This study is undertaken to assess the level of climate change awareness and willingness to adopt mitigation actions by the students (N = 657) of higher education in Tripura, a small state in North East India, bordering Bangladesh on three sides. In addition, the study also attempts to draw whether there exist any correlations between the level of media usage with the level of climate change awareness and the level of climate change awareness with the level of willingness to adopt climate change mitigation actions. The results show that students of higher education in Tripura have a high level of climate change awareness, and the primary sources for climate change-related information are the Internet, TV, and newspapers. The scientists were the most trusted sources of climate change-related information followed by the mass media. The findings also establish that the students are willing to adopt climate change mitigation actions, even if it costs them something extra. The students who are willing (7.6%) and extremely willing (65.4%) to embrace climate change mitigation actions constituted more than 70% of the total respondents of the survey. The paper concludes that the level of willingness to adopt climate change mitigation actions was found to be significantly correlated with the level of awareness of the consequences of climate change when media are key actors in the dissemination of information; however, the level of understanding about solutions for climate change is not correlated with the level of awareness about the causes of climate change. [ABSTRACT FROM AUTHOR]

Capacity-building is acknowledged as an essential requirement for addressing environmental and developmental challenges in developing countries. In particular, the capacity to manage technological change is an important prerequisite for climate change mitigation, adaptation and green growth. Despite the importance of such capacity, there are surprisingly few empirical accounts unpacking its different dimensions and exploring how it might be built in developing countries in the context of climate and sustainable development challenges. In this paper, we contribute to this sparse literature through an in-depth qualitative case study on energy efficiency in India. Specifically, we take a systemic and evolutionary perspective to investigate how the Bureau of Energy Efficiency developed and implemented its programs to promote energy efficiency in household appliances, light-emitting-diode lamps and energy-intensive industries – and how in doing so, both drew upon existing capacity within and outside the country, and also built new capacity, to achieve significant energy savings. Key policy insights Since the capacity to manage technological change is distributed among a range of actors, policymakers require the ability to understand capacity needs from multiple actors' perspectives. Policymakers need to respond to evolving capacity needs over the course of a program – from strategic program design, trust-building and resource mobilization in early stages, to administration in later stages. 'System operators/integrators' can play a crucial role during the early stages of a program by helping develop capacity and sustaining it by creating a demand for such capacity, as well as bringing together actors, enabling coordination, and building coalitions among them. Preliminary analysis suggests that the Bureau of Energy Efficiency programs investigated in this paper resulted in significant energy savings and CO2 emission reductions. [ABSTRACT FROM AUTHOR]

Globally, vaccination plays a vital role in controlling the Covid-19 pandemic. However, the cold supply chain is essential for vaccine storage and logistics services. In a country like India, the last-mile logistics of vaccines is a challenging task. The cold chain is indispensable for the Covid-19 vaccine drive to the rural areas. The demand for cold storage increases rapidly due to the rapid Covid-19 vaccine drive. The conventional cold storage facility has a more significant threat to the grid power quality and environmental impacts. The energy demand and greenhouse gas emission of traditional cold storage lead to global warming. The micro cold storage facility has to be developed rapidly to accelerate the vaccine drive to the last mile of the county with reliable and affordable energy sources. In addition, climate change mitigation is ensured by the renewable energy utilization in the Covid-19 vaccine drive. The proposed novel micro cold storage aims to be silent, clean, mobile, without moving parts, and reliable for the last-mile vaccine logistics as a vaccine carrier to the remote rural areas. This paper deals with the novel design, development, and experimental investigation of solar photovoltaic powered thermoelectric-based micro cold storage as a Covid-19 vaccine carrier for rural areas. The design consideration of Covid-19 vaccine storage has been reported. The experimental results ensure the World Health Organization recommended vaccine storage (i.e., vaccine carrier) temperature range of +2 to +8 °C. Therefore, green energy and refrigeration system provide environmental sustainability by mitigating 700kg of annual carbon emission. [ABSTRACT FROM AUTHOR]

India has experienced several climate disasters which have had an adverse effect on the large rural population of 857 million, who are among the most vulnerable and in need of climate justice. There is a resurgence of community resilience underscored through the philosophical strands interwoven in the cultures, traditions, religions, and values that accord special merit to ecological conservation and the regeneration of nature. People's participation in the process of development and localized solutions to their problems leads to self-reliance which is on the basis of the Atmanirbhar Bharat policy being promoted by the government. The pandemic has sparked a rethinking of the much trodden economic development path to a people-centric approach based on building and strengthening social capital and community participation for sustainable development. This paper will analyze the interrelations between communication and culture for building resilient communities for the mitigation of climate change, and strategic action towards climate justice that lies at the heart of inclusive sustainable development. [ABSTRACT FROM AUTHOR]

The Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) has elucidated that the uninterrupted emission of greenhouse gases has resulted in climate change posing the biggest existential threat to humanity. India, which stretches from the Himalayas to the fertile plains of Ganges to the long west and east coast, is experiencing an array of climate change impacts. India's vulnerability is closely tied to the region's geography, economy, and population patterns. Considering the colossal population, vulnerability, and gross GHG emission, the success of climate action in India will be a major contributory factor in the global response to climate change. India has played a proactive and prominent role in elucidating the position of developing nations in climate negotiation but has not enacted climate-specific legislation. As a consequence, the climate responses have been a continuum of policy actions, drawing on various provisions of the Indian Constitution, and existing environmental legislative provisions drawing on the various international environmental instruments to which India is a signatory. Forest management is a sector closely linked with climate change in terms of impacts and addressing climate change in India. The Nationally Determined Contribution (NDC) targets of India envisaged under the Paris Agreement reveal the weightage attached to forests in the climate change response. This paper attempts to capture the legislative framework governing climate change in India, focusing on the general environment protection laws and forest management. It also explores whether the legal framework operating in the forest sector is adequate to address the climate concerns. [ABSTRACT FROM AUTHOR]

The integration of trees into diverse land-use systems holds potential for India to meet nationally determined contribution (NDC) targets under the Paris Climate Agreement. With a target of sequestering 2.5–3 billion tons of CO2 equivalent by 2030, the study focused on the widespread and economically viable eucalyptus-based agroforestry, practiced widely in various planting geometries tailored to meet industrial end-use requirements. In this context, a detailed study was conducted to quantify the influence of five planting geometries [3 m × 3 m, 6 × 1.5 m, 17 × 1 × 1 m (paired row) and two boundary plantations (east–west and north–south directions) at 2 m away from tree to tree] of eucalyptus on intercrops [dhaincha (Sesbania aculeata)—barley (Hordeum vulgare L.) rotation] biomass, soil properties, and carbon stock of the system during 2009–2016. Results revealed that biomass accumulation of different tree components was 62.50%–74.09% in stem; 6.59%–9.14% in branch; 3.18%–5.73% in leaves; 12.20%–20.44% in stump roots; and 1.71%–3.48% in fine roots across the planting geometries. The mean carbon content of the stem, branch, leaves, and roots was 49.00, 47.00, 43.00, and 49.00%, respectively. Over the 8-year period, geometry of 3 × 3 m performed better in terms of total biomass production (344.60 Mg ha− 1 by tree biomass and 62.53 Mg ha−1 by intercrops). The independent parameter, DBH²H (DBH: diameter at breast height and H: tree height), was found to be a very good predictor of dry weight, followed by DBH alone. Among various functions (linear, allometric, logistic, Gompertz, Chapman, and exponential), the best-fit equation was allometric, i.e., B = 300.96 × DBH²H0.93 (adjusted R² = 0.96) for eucalyptus based on universal model adequacy and validation criteria. The carbon sequestration rate was maximum (20.79 Mg C ha−1 year−1) in 3 × 3 m followed by 17 × 1 × 1 m. The total carbon stock of eucalyptus-based system (tree + crop + soil) varied significantly under different planting geometries and sole crop rotation (dhaincha–barley). The higher carbon stock (237.27 Mg ha−1) was obtained from 3 × 3 m spacing and further partitioning carbon stock in trees—166.29 Mg ha−1, crops—25.01 Mg ha−1 and soil—45.97 Mg ha−1. The paired row spacing (17 × 1 × 1 m) yielded higher crop yield and net returns (Rs. 600,475 ha−1), underscoring wide spacing’s role in system productivity and sustainability. Tree-based systems were valuable components of agriculture, advocating for their widespread adoption to reduce CO2 emissions and generate income through carbon credits. These findings will provide crucial insights into sustainable land-use practices and advance India’s commitment toward adaptation of climate change mitigation strategies. [ABSTRACT FROM AUTHOR]

Clean energy transition via utilizing biomass resources has been projected as an important climate change mitigation strategy. A vital characteristic of biomass is its localized nature; therefore, bioenergy utilization should follow decentralized planning. Agrarian countries like India can take benefit of its large agricultural biomass waste pool to produce clean renewable energy. However, prior knowledge of spatio-temporal distribution, competing uses, and biomass characteristics are necessary for successful bioenergy planning. This paper assesses biomass resource and its power generation potential at different agro-climatic zone levels in the state of Rajasthan, India considering crop residue biomass (25 different crop residues from 14 crops) and livestock manure (from cattle, buffalo, and poultry). Uncertainties associated with the availability of biomass and the power generation potential are assessed for each agro-climatic zone under different scenarios. Greenhouse gases (GHGs) emissions from biomass-based power generations are also estimated and compared with biomass-equivalent coal power plants. It is observed that the annual biomass power potential of Rajasthan is 3056 MW (2496 MW from crop residues and 560 MW from livestock manure). Scenario analysis suggests that the potential varies from 2445 to 6045 MW under different biomass availability and power plant operating conditions. Annual GHGs emissions due to biomass power generation is 5053 kt CO 2 eq. Replacing coal-based power with biomass power would result in annual GHGs savings of 11412 kt CO 2 eq. The paper also discusses various carriers and barriers viz. logistics, institutional, financial and technical in setting up decentralized bioenergy plants. Outcomes of the present study are expected to assist renewable energy planners in India. • Biomass resources and their power potential are assessed for Rajasthan, India. •Biomass power potential for different selected scenario ranges from 2445-6045 MW. •GHG emissions from biomass power is assessed and compared with fossil fuels. •Spatio-temporal variability, low density and logistics are limitations of biomass. •Favourable policies, technologies and market can help to promote bioenergy sector. [ABSTRACT FROM AUTHOR]

Climate change is a global concern of the current century. Its rapid escalation and ever-increasing intensity have been felt worldwide, leading to dramatic impacts globally. The aftermath of climate change in India has brought about a profound transformation in India's environmental, socio-economic, and urban landscapes. In 2019, India ranked seventh, among the most affected countries by extreme weather events caused due to changing climate. This impact was evident in terms of both, the human toll with 2,267 lives lost, and the economic damage, which accounted for 66,182 million US$ Purchasing power parities (PPPs). Over the recent years, India has experienced a significant increase in the number and frequency of extreme weather events, causing vulnerable communities. The country experienced severe air pollution problems in several metropolitan cities and was highlighted in the list of the world's most polluted cities. Additionally, India has become the most populous nation globally, boasting a population of 1.4 billion people, equating to ~18% of the global population, and experiencing an increased rate of consumption of natural resources. Owing to the country's current scenario, various climate mitigation strategies, including nature-based solutions, must be implemented to reduce such impacts and support India's target of achieving the Sustainable Development Goals (SDGs). This review tries to have a holistic understanding of the effects of climate change on different sectors to identify India's challenges in achieving SDG 13 and SDG 11. Finally, it also highlighted the future recommendations for climate change-related research from an Indian perspective. [ABSTRACT FROM AUTHOR]

Climate action plans are essential for climate mitigation and adaptation as well as to achieve climate and development goals like the Paris Agreement and the Sustainable Development Goals (SDGs). However, the development and implementation of climate action plans at multiple levels involve decision-making processes. In this article, we examine the barriers and opportunities to decision-making in climate action plans for adaptation at three different governance levels in India: national, sub-national and local. Through a literature review and analysis of case studies, we find that lack of usable climate information, institutional weaknesses and capacity of actors are critical barriers to decision-making at all three levels in India. We recommend that providing usable and accessible climate information, creating evidence and knowledge on adaptation, strengthening the science-policy interface and institutional mechanisms, as well as building the capacities of actors can contribute to better decision-making and achieving targeted climate action plans and SDGs. [ABSTRACT FROM AUTHOR]

Global warming necessitates urgent action to reduce carbon dioxide (CO2) emissions and remove CO2 from the atmosphere. Biochar, a type of carbonized biomass which can be produced from crop residues (CRs), offers a promising solution for carbon dioxide removal (CDR) when it is used to sequester photosynthetically fixed carbon that would otherwise have been returned to atmospheric CO2 through respiration or combustion. However, high‐resolution spatially explicit maps of CR resources and their capacity for climate change mitigation through biochar production are currently lacking, with previous global studies relying on coarse (mostly country scale) aggregated statistics. By developing a comprehensive high spatial resolution global dataset of CR production, we show that, globally, CRs generate around 2.4 Pg C annually. If 100% of these residues were utilized, the maximum theoretical technical potential for biochar production from CRs amounts to 1.0 Pg C year−1 (3.7 Pg CO2e year−1). The permanence of biochar differs across regions, with the fraction of initial carbon that remains after 100 years ranging from 60% in warm climates to nearly 100% in cryosols. Assuming that biochar is sequestered in soils close to point of production, approximately 0.72 Pg C year−1 (2.6 Pg CO2e year−1) of the technical potential would remain sequestered after 100 years. However, when considering limitations on sustainable residue harvesting and competing livestock usage, the global biochar production potential decreases to 0.51 Pg C year−1 (1.9 Pg CO2e year−1), with 0.36 Pg C year−1 (1.3 Pg CO2e year−1) remaining sequestered after a century. Twelve countries have the technical potential to sequester over one fifth of their current emissions as biochar from CRs, with Bhutan (68%) and India (53%) having the largest ratios. The high‐resolution maps of CR production and biochar sequestration potential provided here will provide valuable insights and support decision‐making related to biochar production and investment in biochar production capacity. [ABSTRACT FROM AUTHOR]

The socioeconomic impacts of potential climate policies are unevenly distributed across the globe, and different countries take different leading positions in fulfilling carbon neutrality. We select two top-emitting emerging economies, China and India, as our case studies. Considering structural, entrepreneurial, ideational, and exemplary leadership based on the leadership theory, we analyze the two countries' international and domestic positions in climate change mitigation after each became active climate action taker (i.e. during 2008–2021). We further rely on interest-based and norm-based approaches to explore the driving factors of their leading positions. We conclude that although China is generally more inclined to take the leading position, China and India currently both exert substantive leadership, especially prevalent in recent international climate negotiation rounds. China and India's consistency of international and domestic leadership evolves via different paths. China initially focused more on international rather than domestic leadership positions (symbolic leader), while India initially took the opposite approach (pioneer). An alignment between international and domestic leadership is found in both countries in more recent years, making both countries substantive leaders. Compared with the interest-based approach, the norm-based approach has greater explanatory power for the two countries' leading position. [ABSTRACT FROM AUTHOR]

This study documents the climatological feature (1951–1980) and recent changes (1981–2020) in rainfall characteristics considering the observed nearly full spectrum of rain event sizes (daily contiguous rain area (CRA) events) in all seasons over India. It is found that the low frequency very large CRA (~synoptic scale) from monsoon season contributes ~50% of annual rainfall. However, the small-sized CRA (isolated thunderstorms) are the most frequent daily rain events (~70% of annual frequency) and hence are important for rain-fed agricultural practices. The well-documented widespread drying trend in the monsoon season has manifested in the annual rainfall trend but with reduced magnitude illustrating the compensatory effect from other seasons. Spatial aggregated annual statistics show that there is no significant change in rainfall amount and frequency of occurrence of rain events in the recent past compared to the base period. However, seasonally the pre-monsoon rainfall amount has increased significantly. Annually, the number of extremely heavy CRA (EHR) events have significantly increased by ~55% owing to a significant increase in pre-monsoon and monsoon rainfall. In all seasons, small-sized extremely heavy CRA has intensified substantially by 50–200% as compared to the base period. Additionally, the rain events from areal category large (~Mesoscale Convective Complexes (MCC)) have intensified in all seasons except winter. Thus, to decrease the uncertainty in rain-fed agricultural practices and better prediction of EHR to develop effective climate change mitigation strategies; process studies beyond monsoon season and processes other than synoptic scales are also required. [ABSTRACT FROM AUTHOR]

The significance of renewable energy in achieving necessary reductions in emissions to limit global warming to 1.5 degrees Celsius is widely acknowledged. However, there is growing concern over the allocation of land for constructing the required new infrastructure. Nowhere is this conflict more apparent than in India, where renewable energy targets are ambitious and land use conflicts are already significant. India intends to increase renewable energy to 500 GW by 2030. This would require an additional 42 GW of renewable energy to be installed every year. Although renewable energy can provide the solution to both India's growing need for cheap energy and climate change mitigation, the sustainable future of renewable energy deployment is far from simple due to its associated land use impacts and socio-ecological risk. While others have highlighted challenges to India's renewable energy targets, here we focus on the land use change issues that will need to be addressed for India to meet its targets. We introduce a series of recommendations and highlight how these could contribute to mainstreaming land values and facilitate the implementation of India's 2030 renewable energy targets. These recommendations include suggested planning approaches that would guide the development of standard siting guidelines, identification of preferential "go-to" areas for renewable energy, and the development of tools that allow access to data and information to site renewable right. Policy recommendations highlight utilizing converted lands and existing built infrastructure for renewable energy development, and adapting existing policies so they address land use impacts. [ABSTRACT FROM AUTHOR]

Even though, the blue carbon ecosystems are gaining keen research interest around the globe, the carbon stock of South-West coast of India was poorly reported, and this study is a pioneer attempt and will be an important document for filling the gaps in uncertainties in global carbon stock assessment and also will increase knowledge on biomass variability among mangrove species and mangrove habitats. The study also highlighted the vital role of biomass carbon pool for long-term soil carbon burial. We estimated the above and below-ground biomass carbon stock of 13 mangrove species using two common allometric equations and species-specific equations and reported a very high mean total living biomass carbon stock of Kochi mangroves at 237.19 ± 113.82 Mg C ha−1, 295.78 ± 143.14 Mg C ha−1, and 272.42 ± 132.78 Mg C ha−1 according to Chave's, Komiyama equation and species-specific equation respectively corresponding to carbon dioxide equivalent (CO2e) of approximately 4,37,774.51 Mg CO2e. The biomass stock was significantly differed between the stations (p = 0.000) and also within species (p = 0.020). Among the mangrove species, Avicennia officinalis contributed highest and Bruguiera sexangula contributed least. Variation was observed for biomass stock of mangroves with large trunk diameter while comparing different allometric equations and therefore projected the need for the development of site- and species-specific equations for solving the uncertainty in global mangrove carbon stock. The study observed that dominant mangrove vegetation type, salinity and also the geomorphology of mangrove habitat had strong influence on variability in biomass stock within a small regional area. The study also suggests that understanding the structure and biomass carbon storage of each regional mangrove habitats can be wisely used in mangrove restoration and conservation programmes and in turn for nature-based solutions for climate change mitigation efforts. [ABSTRACT FROM AUTHOR]

Purpose: The eco-innovation is considered one of the possible ways to tackle climate change. However, the conflicting empirical evidence related to the role of eco-innovation on environmental quality becomes a motivation to explore the effect of eco-innovation on environmental degradation proxied by ecological footprint. Besides, it controls economic growth, remittance inflows, trade openness and total energy consumption in the environmental degradation function. Design/methodology/approach: Uses the Augmented Auto Regressive Distributed Lag (AARDL) approach to examine the cointegration relation among the series during the period ranging from 1975 to 2017 for India within the environmental Kuznets curve (EKC) framework. Findings: The result suggests that eco-innovation can mitigate climate change by reducing the ecological footprint. Similarly, economic growth reduces the ecological footprint in the short- and long-run. However, the square of economic growth is positive and significant. Thus, it shows evidence against the conventional EKC hypothesis. The results also reveal that remittance inflows have an insignificant negative role on the ecological footprint, while total energy consumption and trade openness harm the environment by enhancing the ecological footprint. Practical implications: This study provides important implications for climate change mitigation. Thus, the government should promote eco-innovation to mitigate climate change by offering a favorable legal environment to the firms to adopt the same in their production and consumption activities. It also suggests that initiatives like green strategies should give serious attention while incurring research expenditure. Originality/value: No prior studies assess the impact of eco-innovation on the ecological footprint for the period of 1975–2017 in India. [ABSTRACT FROM AUTHOR]

Devising effective national-level climate action plans needs a more detailed understanding of the regional distribution of sources and sinks of greenhouse gases. Due to insufficient observations and modelling capabilities, India's current carbon source-sink estimates are uncertain. This study uses a high-resolution transport model to examine the potential of CO2 observations over India for inverse estimation of regional carbon fluxes. We make use of four different sites in India that vary in measurement technique, frequency and spatial representation. These observations exhibit substantial seasonal (7.5 to 9.2 ppm) and intra-seasonal (2 to 12 ppm) variability. Our modelling approach, a high-resolution Weather Research and Forecasting Model combined with Stochastic Time Inverted Lagrangian Transport (WRF-STILT) model, performs better in simulating seasonal (R2 = 0.50 to 0.96) and diurnal (R2 = 0.96) variability of observed CO2 than the current generation global models analysed in the study. Representation of local flux variability like biomass burning in the model needs further refinement, depending on the site location. During the agricultural season, crop biospheric uptake in the Indo-Gangetic Plain region significantly modulates the CO2 variability in the northern Indian stations. Depending on the region and time of the year, the anthropogenic and biospheric emission components contribute differently to CO2 variability. The choice of emission inventory in the modelling framework alone leads to significant biases in simulations (5 to 10 ppm), endorsing the need for accounting emission fluxes, especially for non-background sites. By implementing a high-resolution model, our results emphasise that observations from Indian sites can be useful in deducing carbon flux information at regional (Nainital) and sub-urban to urban (Mohali, Shadnagar, Nagpur) scales. On accounting for observed variability, the global carbon data assimilation system can thus benefit from the measurements from the Indian subcontinent. [ABSTRACT FROM AUTHOR]

The annual average increase in carbon dioxide (CO2) concentration is touching new heights every year. Global climate change and warming are twin outcomes of record-breaking CO2 levels. The trees outside forests (TOF) are the most promising and suitable components in the ecosystem for combating global warming via carbon (C) sequestration. Urban university campuses are the hotspot regions of TOF. We have attempted to quantify the C stock, C sequestration potential, and C credit value of dominant tree species at Maharshi Dayanand University (MDU), Rohtak. Different volumetric and biomass equations were used for biomass computation. We assessed a total of 29,442 trees (top 10) for measuring phytosociological parameters like total tree count, age, height (H), and diameter at breast height (DBH) to quantify the amount of C stored. The total C stock, C sequestration rate, and monetary value were 78.67 (Mg C ha−1), 19.05 (Mg CO2 ha−1 year−1), and 23,101.59 $ year−1, respectively. Eucalyptus globulus is the most dominant tree species on the campus and topped almost all the quantitative characteristics like total tree count (~40 %), age (25 years), density (D) (55.35 trees ha−1), and total C stock (16.06 ± 9.90 Mg C ha−1). Tree basal area (BA), D, diversity, and H positively affected the total C stocks. When the C market becomes operational, these C credits can be traded while generating additional income for the university. The results from this study can also help calculate the total C footprint of the campus. [ABSTRACT FROM AUTHOR]

Majority of global biodiversity databases lack sufficient coverage from the developing world and thus severely limiting their worldwide applicability. Bridging these knowledge gaps in global databases merits urgent research priority in biodiversity science. Here, we present Trees of India (ToI), Version-I, a comprehensive database assembled from an extensive literature synthesis of 313 studies published from 1872 to 2022. Based on the ToI database, we aimed to investigate the patterns of diversity, distribution, endemic and threat status of the tree flora of India. We recorded 3708 tree species across India, which raises the number by more than one-third (1199 species) previously reported for this mega-biodiverse country in GlobalTreeSearch (GTS). We found 93 species erroneously included for India as tree lifeform in the GTS. The distribution of the tree flora considerably varied across the states in India, with southern and eastern parts harbouring the highest tree diversity. We found evidence of distance decay in compositional similarity among the states in India. Our results reveal that 609 tree species are endemic to the country and 347 species are currently threatened. We also found a linear positive correlation between the endemic and threatened tree species pool of the country. Our data synthesis on the trees of India has huge policy and management implications in guiding biodiversity conservation, ecosystem restoration and climate change mitigation in this most populous country of the world. Looking ahead, our study showcases a model with learnings for other countries/regions/taxa to bridge the existing knowledge gaps in global biodiversity databases. [ABSTRACT FROM AUTHOR]

India has a significant importance in achieving the global Paris agreement's long-term goal as it is the world's third-largest consumer of energy. This paper aims to improve the understanding of the opportunities and constraints of decarbonizing India's electricity sector and adds to the growing body of literature by modelling the electricity sector in India with a dynamic optimization approach that assesses options for effective greenhouse reductions through carbon pricing. Attaining significant variable renewable energy penetration in India by 2050 is consistent with the lowest cost power generation options identified through our simulations, where solar and wind can provide 66 % of the electricity needs by 2050, even without a carbon price. With a carbon price of US$50/tCO2e, the simulations project that wind and power generation share in the electricity mix will rise to 81 %, leading to significant emission reductions. In this scenario, power sector emissions will be 164 million tCO2e by 2050, which is only about 14 % of the emissions levels in 2019. The analysis also indicates that fossil fuels remain part of India's electricity mix in 2050, but their role and operation would dramatically change. When a carbon price of US$50/tCO2e is introduced, coal capacity remains valuable to fill demand when solar and wind are not available. This would require modifications in operation schedules and repurposing coal power plants for frequent ramping up and down. [ABSTRACT FROM AUTHOR]

The foremost role of forest vegetation in storing biomass and carbon (C) stock constitutes one of the main nature-based solutions to mitigate climate change. In this study, we aimed to quantify biomass and C stock partitioning in multiple vegetation strata (tree, shrub, herb, and ground floor layers) of major forest types in Jammu and Kashmir, Western Himalaya, India. We used a stratified random cluster sampling strategy to collect field data in 96 forest stands of 12 forest types (altitudinal range: 350 to 3450 m) in the study region. We evaluated the degree to which the carbon stock of the entire ecosystem was dependent on the multiple vegetation strata using the Pearson method. Across all the forest types, the average total ecosystem-level biomass was estimated to be 181.95 Mgha−1 (range: 60.64–528.98). Forest strata-wise, the maximum biomass of 172.92 Mgha−1 (range: 50.64-514.97) was found in the tree vegetation, followed by 5.58 Mgha−1 (range: 2.59–8.93) in understory vegetation (shrubs and herbaceous), and 3.44 Mgha−1 (range: 0.97 and 9.14) in the forest floor. The total ecosystem-level biomass showed a peak at mid-elevation coniferous forest types, whereas the lowest was observed in low-elevation broad leaved forest types. At the ecosystem-level, on average, the understory contributed 3% and the forest floor 2% to the total C stock across the forest types. The shrub layer contributed up to 80% of total understory C, with the herbaceous layer accounting for the remaining 20%. The ordination analysis clearly shows that anthropogenic and environmental variables significantly (p ≤ 0.002) influence the forest types' C stock in the region. Our findings have significant implications for conserving natural forest ecosystems and restoring degraded forest landscapes in this Himalayan region, which in turn can lead to better carbon sequestration and climate mitigation outcomes. [ABSTRACT FROM AUTHOR]

Hydrological reaction to climate change anticipates water cycle alterations. To ensure long-term water availability and accessibility, it is essential to develop sustainable water management strategies and better hydrological models that can simulate peak flow. These efforts will aid in water resource planning, management, and climate change mitigation. This study develops and compares Sacramento, Australian Water Balance Model (AWBM), TANK, and SIMHYD conceptual models to simulate daily streamflow at Rajegaon station of the Pranhita subbasin in the Godavari basin of India. The study uses daily Indian Meteorological Department (IMD) gridded rainfall and temperature datasets. For 1987–2019, 70% of the models were calibrated and 30% validated. Pearson correlation (CC), Nash Sutcliffe efficiency (NSE), Root mean square error (RMSE), and coefficient of determination (CD) between the observed and simulated streamflow to evaluate model efficacy. The best conceptual (Sacramento) model selected to forecast future streamflow for the SSP126, SSP245, SSP370, and SSP585 scenarios for the near (2021–2040), middle (2041–2070), and far future (2071–2100) using EC-Earth3 data was resampled and bias-corrected using distribution mapping. In the far future, the SSP585 scenario had the most significant relative rainfall change (55.02%) and absolute rise in the annual mean temperature (3.29 °C). In the middle and far future, the 95th percentile of monthly streamflow in the wettest July is anticipated to rise 40.09% to 127.06% and 73.90% to 215.13%. SSP370 and SSP585 scenarios predicted the largest streamflow increases in all three time periods. In the near, middle, and far future, the SSP585 scenario projects yearly relative streamflow changes of 72.49%, 93.80%, and 150.76%. Overall, the findings emphasize the importance of considering the potential impacts of future scenarios on water resources to develop effective and sustainable water management practices. [ABSTRACT FROM AUTHOR]

Adverse consequences of climate change often affect people and places far away from those that have the greatest capacity for mitigation. Several correlational and some experimental studies suggest that the willingness to take mitigation actions may diminish with increasing distance. However, the empirical findings are ambiguous. In order to investigate if and how socio-spatial distance to climate change effects plays a role for the willingness to engage in mitigation actions, we conducted an online experiment with a German population sample (n = 383). We find that the willingness to sign a petition for climate protection was significantly reduced when a person in India with a name of Indian origin was affected by flooding, as compared to a person in Germany with a name of German origin. Distance did not affect donating money to climate protection or approving of mitigation policies. Our results provide evidence for the existence of a negative effect of distance to climate change consequences on the willingness to engage in low-cost mitigation actions. Investigating explanations for such an effect, we find that it can be attributed to the spatial rather than the social dimension of distance. Moreover, we find some cautious evidence that people with strong racist attitudes react differently to the distance manipulations, suggesting a form of environmental racism that could also reduce mitigation action in the case of climate change. [ABSTRACT FROM AUTHOR]

Media reporting of climate change has long influenced public perception of the issue. The present study attempts to understand the media presentation of climate change in India by investigating the framing of climate change discourses in 30 editorials of prominent Indian English newspapers, The Times of India, The Indian Express, and The Hindu, with the help of corpus-assisted frame analysis using Sketch Engine software. The study utilised corpus techniques, like keyword and concordance analysis, along with open coding, to extract common "frames" that figure prominently in the selected newspapers. The results revealed that four major frames were employed by the newspapers: climate change as a worrisome reality that requires immediate attention; climate compensation and mitigation funds as contentious issues that require deliberation between developed and developing nations; India as an active participant in mitigation efforts; and climate crisis as a geopolitical issue that requires cooperation across the board. The analysis resulted in the conclusion that these newspapers displayed little climate scepticism, was sensitive to the economics of mitigative action, and were interested in India's role in the conversations regarding climate change on the global stage. [ABSTRACT FROM AUTHOR]

Climate change, land degradation, and desertification lead to the loss of carbon present in the soil and plants. The carbon dioxide (CO2) concentration in the atmosphere has reached 412 ppm. This is a rise of 47% since the start of the industrial period, when the concentration was close to 280 ppm. Therefore, the sequestration of carbon from the atmosphere to earth is the need of the hour. Many scientists have suggested agroforestry as a potent instrument for climate change mitigation as well as to fetch lucrative benefits. The Indian government is also promulgating tree-based systems for increasing tree cover up to 33% of the total geographical area to mitigate climate change. Therefore, the expansion of the commercial agroforestry system of fast-growing tree species producing higher biomass could be a sustainable and ecologically benign technique to sequester carbon, increase green cover, and improve the financial status of farmers. This review highlights the commercial agroforestry systems, biomass and carbon sequestration potential, and case studies of poplar and eucalyptus. The species such as poplar (Populus deltoides), nilgiri (Eucalyptus spp.), subabul (Leucaena leucocephala), tree of heaven (Ailanthus excelsa), willow (Salix spp.), malabar neem (Melia dubia), cadamba (Neolamarckia cadamba), and white teak (Gmelina arborea) are the suitable tree species for carbon sequestration under agroforestry. Among these species, poplar and eucalyptus are major agroforestry tree species that have been adopted by millions of farmers in India since the 1990s. Indo-Gangetic plains are considered the birthplace of commercial or industrial agroforestry, as poplar and eucalyptus are widely planted. This review reports that poplar and eucalyptus have the potential to sequester carbon stock of 212.7 Mg C ha−1 and 237.2 Mg C ha−1, respectively. Further, the net carbon sequestration rate in poplar and eucalyptus was 10.3 and 12.7 Mg C ha−1 yr−1, respectively. In conclusion, the commercial agroforestry system was very successful in the Indo-Gangetic regions of the country but needs further expansion with suitable compatible crops in different parts of the country. [ABSTRACT FROM AUTHOR]

Urban transportation is viewed as the second leading source of carbon dioxide emissions. The growing number of vehicles and road infrastructure-based supply in Indian cities is viewed as the essential driver of climate change and relevant consequences affecting the sustainability of cities. In this study, sustainable transport measures were analyzed to understand the emission mitigation potential of the Bengaluru Metropolitan Region's transport sector in Karnataka, India. Relevant policies were identified under the planning, regulatory, economic, and technological instruments and grouped under four policy bundles. The mitigation potential of the policy bundles was quantitatively evaluated in terms of vehicle kilometers traveled (VKT), exhaust emissions, and greenhouse gas emissions. The study also estimated the carbon emission intensity and consumer surplus for different mode users across all policy bundles. The findings from this showed that Policy bundle 4, a comprehensive mix of various policies, demonstrated a critical decrease in VKT and emissions compared with the other policy bundles and, thus, provided good scientific decision support for transport policymakers. The study helps Bengaluru's transport planning authorities in designing comprehensive mobility plans in a much more sophisticated way. The inclusion of public participation in the planning process helps improve sustainability. The consumer surplus provides a better understanding of social benefits derived from the policies, and emissions intensity estimates help understand whether the emissions have decoupled from the economic growth. The study also presents that public transportation plays a major role in solving congestion problems. Thus, it helps the planning authorities to prioritize their investments to make cities more liveable. [ABSTRACT FROM AUTHOR]

This study aims to provide a new perspective on environmental studies by examining the influence of environmental-related technological innovation, foreign direct investment, renewable energy consumption, and economic growth on the climate change index (CCI), a novel proxy for environmental quality indicators. From the econometric standpoint, this study employs the "non-linear autoregressive distributed lag" model and spectral causality over the period of 1999–2018 for India. The results show that positive shocks to economic growth have detrimental long- and short-term effects on environmental quality, whereas negative shocks have no effect. While a positive shock has an insignificant impact, a negative shock to environmental technology innovation has a long-term negative impact on environmental quality. This study provides evidence for the pollution halo hypothesis in India. Besides, a long-term negative shock to the usage of renewable energy fosters environmental degradation. Furthermore, in short-, medium-, and long-term frequency, spectral causality demonstrates unidirectional causation from CCI to environmental-related technological innovation. Bidirectional causation is demonstrated between the CCI and renewable energy consumption in the short and medium term. In addition, environmental-related technological innovation and foreign direct investment are demonstrating a bidirectional relationship in the short term. This study has advocated the Sustainable Development Goals (SDGs)–centric policy paradigm, which can assist the Indian government in achieving SDG-13 (mitigating climate change) and SDG-7 (clean energy consumption). [ABSTRACT FROM AUTHOR]

Large-scale tree planting has been advocated for decades in many countries as a cost-effective strategy to mitigate carbon, rejuvenate degraded landscapes, and support local livelihoods. Recent studies, however, suggest limited ecological and livelihood impacts of tree planting programs, indicating possible limits to tree planting as a natural climate solution. In this paper, we explore these carrying capacity-like limits by evaluating the site suitability of forestry landscapes of the northern Indian state of Himachal Pradesh using theory/expert-based rules and machine learning algorithms. We find that the state can only achieve a maximum of 31.54% forest cover due to socio-ecological and biophysical constraints, much less than India's goal of bringing 66% of the total geographical area of Himalayan states into forest cover. The low availability of suitable lands for growing trees, together with poor plantation site selection by forest range officers limit the use of tree planting as a sole climate mitigation strategy. To approach theoretical planting limits, we propose an ePSA (e-Plantation Site Assistant) recommendation system based on our site-suitability results to assist forest rangers in selecting suitable sites for planting trees. An initial deployment of the recommender system suggests its potential utility in shaping the long-term success of tree plantations as an effective carbon strategy in northern India and beyond. Overall, we argue that there is a need to realign over-ambitious national and international tree planting targets with actual limits from site characteristics to avoid massive wastage of funds and to obtain feasible carbon mitigation outcomes. [ABSTRACT FROM AUTHOR]

A large number of Indian thermal power plants are tied under power purchase agreements with distribution companies. However, the existing energy models do not account for these 'take or pay' contracts for investigating climate policies. In this context, this paper investigates the impact of these power purchase agreements on power sector operations, cost of electricity and emissions from the Indian power sector. An optimization model was developed for this study with 620 coal, 239 gas, 21 nuclear and 686 hydro units with technology and operational characteristics to analyze electricity dispatch for power sector. The operations of thermal power plants were analyzed with and without power purchase agreements, and low carbon policy scenario. The scenarios are compared for power plant operations, cost of electricity, stranded assets, and emissions. The results show that there is a significant cost advantage for plants covered under power purchase agreements which favors the operations of older inefficient power plants in baseline scenarios. In addition, the representation of power purchase agreements raises the cost of electricity by 26 percent. A change in operating strategy from least cost to least emissions with a lower demand growth scenario can mitigate 24 percent emissions. The cost of carbon abatement is 268–277 USD/tonne for policy scenarios. Options like renegotiation of power purchase agreements can be considered to mitigate emissions. • Indian power sector optimization model is formulated with power purchase agreements. • Older power plants have cost advantage under existing power purchase agreements. • Power contracts in existing models result in total cost escalation of 26 percent. • The power sector can reduce emissions by 24 percent with optimal operations under lower demand. • Existing projects in pipeline will result in large stranded assets. [ABSTRACT FROM AUTHOR]

Vegetation change can alter surface energy balance and subsequently affect the local climate. This biophysical impact has been well studied for forestation cases, but the sign and magnitude for persistent earth greening remain controversial. Based on long-term remote sensing observations, we quantify the unidirectional impact of vegetation greening on radiometric surface temperature over 2001–2018. Here, we show a global negative temperature response with large spatial and seasonal variability. Snow cover, vegetation greenness, and shortwave radiation are the major driving factors of the temperature sensitivity by regulating the relative dominance of radiative and non-radiative processes. Combined with the observed greening trend, we find a global cooling of −0.018 K/decade, which slows down 4.6 ± 3.2% of the global warming. Regionally, this cooling effect can offset 39.4 ± 13.9% and 19.0 ± 8.2% of the corresponding warming in India and China. These results highlight the necessity of considering this vegetation-related biophysical climate effect when informing local climate adaptation strategies. Using satellite observations over the recent two decades, the authors quantify the biophysical impact of earth greening on land surface temperature and show a considerable cooling effect in India and China, important for climate mitigation. [ABSTRACT FROM AUTHOR]

This study investigates the projected heatwaves for India using 0.25° × 0.25° summer mean temperature data from Coupled Model Intercomparison Project (CMIP) 5 and 6 simulations for 2016–2100. The heatwaves were delineated using count and density‐based indices. A new approach of using medians of past as threshold for computing projected variables was introduced to amplify the footprint of the warming signal on the heatwaves. Further, spatio‐climatic heterogeneity of India was accounted through optimizing climatic zones using the fuzzy c‐mean clustering technique. Temporal homogeneity, trend, intensification and attribution of the heatwave variables were computed and analysed. Additionally, the scenario uncertainty was partitioned from the internal climatic variability, and consequently the variables were modelled within a probabilistic framework. Within this probabilistic framework, a novel concept of intensification ratio was introduced to capture the cost of climate action/inaction on heatwaves in India. All the heatwave variables except heatwave count have breaks in homogeneity between 2045 and 2055 and show predominantly increasing trends. While heatwave count shows an intensification of 4–6 times over the past, with 70% of the intensification being attributable to climate change, for other variables, the figures are 35–30 times and 95%. The scenario uncertainty surpasses the internal climatic variability around 2050. The probabilistic framework yields normalized values of uncertainty mostly below 0.5, enhancing the applicability of the results. Finally, the intensification ratio shows that climate inaction will intensify the heatwaves for ~75% of India by ~50–100%. The intensification of heatwave density over its count and relative accentuation of heatwaves resulting from climate inaction are the major takeaways from this study. [ABSTRACT FROM AUTHOR]

The intensity and extent of climate change impacts differ significantly with the geographical and ecological structure of the landscape. This is especially evident in mountain ecosystems where topographic, climatic and biological gradients make them extremely vulnerable to global environmental changes. Designing strategies to mitigate and adapt to global climate change on such local landscapes requires a context-specific vulnerabilities that take into account their particular characteristics. Presently, there are two main challenges in assessing climate change vulnerability in mountain ecosystems: 1) The models that are used for vulnerability assessments at global scales are being used at local scales with broad variables from few sectors that do not capture the range of characteristics of mountain ecosystems 2) indigenous knowledge about climate change are not considered in these models, which makes the implementation of mitigation/adaptation measures less successful. In this study, we highlight these issues drawing from our data collected in India's Lesser Himalayan region (Darjeeling). We used a mixed research approach that combines a vulnerability assessment model with a participatory knowledge approach. We based climate change vulnerability around the socio-ecological system of the mountain landscape. The results from the interactive process showed that Darjeeling region is experiencing higher climate change vulnerability than the results produced by the model at the subregional level. We highlight critical variables that influence the socio-ecological system and need to be taken into account when assessing vulnerability and future adaptation scenarios. The study offers a decision support process for policymakers to plan climate mitigation/adaptation measures and future sustainability pathways. [ABSTRACT FROM AUTHOR]

International efforts to avoid dangerous climate change have historically focused on reducing energy-related CO2 emissions from countries with either the largest economies (e.g. the EU and the USA) and/or the largest populations (e.g. China and India). However, in recent years, emissions have surged among a different and much less-examined group of countries, raising concerns that a next generation of high-emitting economies will obviate current mitigation targets. Here, we analyse the trends and drivers of emissions in each of the 59 countries where emissions in 2010–2018 grew faster than the global average (excluding China and India), project their emissions under a range of longer-term energy scenarios and estimate the costs of decarbonization pathways. Total emissions from these 'emerging emitters' reach as much as 7.5 GtCO2/year in the baseline 2.5° scenario—substantially greater than the emissions from these regions in previously published scenarios that would limit warming to 1.5°C or even 2°C. Such unanticipated emissions would in turn require non-emitting energy deployment from all sectors within these emerging emitters, and faster and deeper reductions in emissions from other countries to meet international climate goals. Moreover, the annual costs of keeping emissions at the low level are in many cases 0.2%–4.1% of countries' gross domestic production, pointing to potential trade-offs with poverty-reduction goals and/or the need for economic support and low-carbon technology transfer from historically high-emitting countries. Our results thus highlight the critical importance of ramping up mitigation efforts in countries that to this point have been largely ignored. [ABSTRACT FROM AUTHOR]

This article offers three instruments to effectively mitigate climate change in the context of the Conference of the Parties (COP)26 and beyond. The first is the interaction between the climate and trade regimes. To that end, this article presents a thought-provoking premise - that mega-regional trade agreements (RTAs) can take a significant role in climate change mitigation. It argues that mega-RTAs can go further to galvanize climate change mitigation, in particular in the energy sector. The energy sector is the largest contributor of greenhouse gas (GHG) emissions, with the majority of energy consumption being supplied by fossil fuels such as coal, natural gas, and oil. As such, there are two main arguments made herein. First, mega-RTAs, as tangible indications of what is acceptable to major economies, are the impetus to influencing greater coherence on energy efficiency standards. This contributes to climate action by creating, even if to some extent, the harmonization of an otherwise fragmented status of energy governance. Second, mega-RTAs can create substantive provisions that redirect support from fossil fuels to renewable energy. This is the very essence of the energy transition. It is envisaged that these two roles conveyed effectively through mega-RTAs can substantially support the energy transition and amounts to action that mitigates climate change and promotes sustainable energy. The second instrument to effectively mitigate climate change is the role of two major Asian countries that are key in the fight against climate change, namely India and China. Both countries can play a major role in effectively mitigating climate change in the future, following the agreement at COP26 that coal must be phased down. Lastly, the third instrument is visualizing what a decarbonized future would look like. Two of many possible pathways for decarbonization are examined: clean-energy technologies and shale gas as a bridge to sustainability. The article argues that these pathways can be meaningful for effective climate action and are in alignment with the Glasgow Climate Pact. [ABSTRACT FROM AUTHOR]

This study presents a comprehensive analysis on the past and future changes in precipitation extremes and quantifies the relative contributions from its frequency and intensity across India, considering five extremeness levels, denoted by 95th, 99th, 99.9th, 99.95th, and 99.97th percentile. Gridded station‐based observations from the historical period (1951–2020) and simulations from 14 General Circulation Models for the future (2021–2100), participating in the Coupled Model Intercomparison Project phase 6 (CMIP6) are considered. Apart from an overall increasing pattern of precipitation extremes, it is noticed that the contribution of frequency dominates over intensity. Specifically, the frequency of 99th percentile daily rainfall is projected to increase approximately by two‐ (SSP245) to three‐ (SSP585) times in future. We also proposed a new zoning of entire Indian mainland, identified as six Homogeneous Precipitation Zones (HPZs). HPZ‐wise analysis reveals that the increase in frequency dominates over intensity for all the HPZs with a varying extent. For instance, increase in frequency is more for the climatologically high‐precipitation zones (HPZ‐3: Western Ghats, and HPZ‐6: North‐east India), whereas increase in intensity is more for the low‐precipitation zones (HPZ‐1: North‐west India, and HPZ‐4: Peninsular India). The degree of increase gets even more pronounced under the worst scenario SSP585, indicating a potential impact of anthropogenic activities on changing precipitation extremes. Findings of this study should be accounted in the climate change adaptation and mitigation strategies for future. Plain Language Summary: There are different characteristics of extreme precipitation, such as how frequent they occur, its intensity. Owing to change in climate, these characteristics are changing as time passes, as well as from one location to another location. How has it been changed in the past and how will it be changing in future? Is there any link with the nature of rainfall in a region? These are the focus of this study. We considered entire Indian mainland as our study domain that spans across a wide range of climatology. Overall, it is noted that both frequency and intensity are increasing and it is going to increase further in future. Moreover, frequency is increasing more rapidly than intensity. However, this finding varies from region to region. The regions that receive high precipitation, in general, may experience maximum increase in frequency (northeast and western ghats region in India), whereas the regions with relatively low precipitation may experience maximum increase in intensity (southern peninsular India). Such findings are expected to be useful in many applications related to climate change impacts on water sector. Key Points: Both frequency and intensity of extreme precipitation are increasing with spatial variation and it is going to increase further in futureIn general, change in the characteristics of precipitation extremes is dominated by increase in frequency rather than intensityHigh precipitation regions experience an increase in frequency and low precipitation regions experience an increase in intensity [ABSTRACT FROM AUTHOR]

Carbon capture and storage is a necessary action for the reduction of CO2 emissions, and thereby mitigation of climate change and its impacts. Especially, in India, with its growing fuel needs and very little attention paid towards carbon capture and storage, mineral carbonation technology is a suitable option as it is cost-effective and could be retrofitted to existing plants that emit CO2. Given the development of carbon capture and storage technology, this study attempts direct mineral carbonation of steelmaking slag with flue gas. Response surface methodology was employed to design gas-solid and slurry phase aqueous carbonation experiments. A maximum reduction of about 36.1% was achieved through aqueous carbonation at 61.1 °C, 46.24 bar, and a liquid-to-solid ratio of 14.5, corresponding to a sequestration capacity of 127.4 g of CO2/kg of slag. The temperature was found to be the most vital parameter in both the aqueous and gas-solid carbonation processes. Regression models used to study the carbonation process were found to be statistically significant. The carbonated slag consisted of mineral phases, namely, calcite and dolomite. The results demonstrated the sequestration potential of Indian steelmaking slag with flue gas. Carbonation of steelmaking slag with flue gas poses to be a promising option for the development of carbon capture and storage technology in the country. [ABSTRACT FROM AUTHOR]

Agroforestry, a sustainable land use practice adopted as a strategy under Kyoto Protocol, plays a crucial role to mitigate the inevitable climate change with a promising potential of carbon sequestration in their biomass and utilization of their numerous resource. Agroforestry is crucial for reducing greenhouse gas emissions, sustaining livelihoods, and partial solutions for biodiversity conservation. Worldwide, agroforestry is practiced by more than 1.2 billion people, on around 1 billion hectares (ha) of land area, while in India, around 25.32 million hectares area comes under agroforestry. Agroforestry system is the enhancement of overall farm productivity, soil enrichment through litter fall, above and below ground carbon sequestration, maintaining environmental services. Different agroforestry systems are adapted at the global level and periodic monitoring and estimation of area under agroforestry, monitoring of tree and soil carbon stocks is still a challenging task due to the lack of uniform methodology. The review analyzes the potential of agroforestry systems for climate adaptation and mitigation as well as their implications for the livelihood of human well-being. [ABSTRACT FROM AUTHOR]

Coastal rural communities, being intricately associated with their ecological settings, are often highly vulnerable to climate change. Amongst the many approaches of reducing the coastal vulnerabilities and achieving climate change adaptation, a potential solution is to improve risk governance through integrated coastal zone management. The coastal risk governance signifies not only the actions of the state but also of other stakeholders, especially the local communities. Community-based approaches have also for long been advocated for effective adaptation and mitigation against climate adversities. While human-nature interactions can significantly influence disaster risks, this research makes an attempt to understand various decisions and choices that a coastal rural community makes based on such interactions to mitigate and manage the climate-induced adversities. Through structured interviews, this research first identifies the significant domains that reflect on the prevailing human-nature interactions, after which the choice modelling technique is utilized to comprehend the community priorities for better climate risk governance, with a specific focus on coastal rural settlements of Katrenikona (Andhra Pradesh, India). The application of this methodology resulted in the formulation of a baseline for local coastal governance, which can be useful for informing various levels within local governments. The baseline consists of an assessment of the different community resilience domains derived based on the prevailing interactions of local communities with their surrounding ecological elements and measured by indicators of local coastal governance. The concept and method for measuring coastal risk governance based on community preferences are potentially replicable, and it can help to track the progress towards longer-term coastal management and local climate adaptation goals. At the same time, it can be turned into a self-evaluation tool to assist the local governments in reflecting on pertinent pathways involving community actions for effectively managing various climate risks and ecological impacts. [ABSTRACT FROM AUTHOR]

This study aims to explore the driving determinants on the export-related carbon intensity (ECI) of China, to better understand the impact of international trade on climate change governance and facilitate China's carbon intensity mitigation goals. First, China's ECI evolution and its gaps with the USA and India are measured during 2002–2014. Then, the main drivers of China's ECIvert study further discusses the influencing factors of ECI in the manufacturing industry using the environmental-extended STIRPAT model and GMM method. The results show that (1) China's overall ECI increases from 1.50 Kg/US$ in 2002 to 1.92 Kg/US$ in 2005 and then decreases to 1.27 Kg/US$ in 2014. The ECI of the manufacturing industry is significantly higher than that of the agriculture and service industry. China's ECI gap with the USA is greater than that with India, and both show a downward trend. (2) Carbon emission coefficient is the domain factor to reduce China's ECI during 2002–2014; the effects of the value-added coefficient, input–output structure, and final demand are limited. The input structure dominantly expands China's ECI gaps both with the USA and India, followed by the value-added coefficient. The carbon emission coefficient enlarges the ECI gap with the USA while reduces that with India. (3) Industrial productivity and value-added rate are negatively correlated with ECI in the manufacturing industry, while per capita capital stock plays the opposite role. The positive correlation between energy intensity and CIE becomes significant after distinguishing technology heterogeneity. In contrast to the non-tech-intensive manufacturing industry, the increase of backward GVCs participation of tech-intensive ones will reduce the ECI. The threshold effect of backward GVCs participation exists in the whole manufacturing industry. Targeted ECI reduction policy implications are suggested. [ABSTRACT FROM AUTHOR]