Anthropocene Science最新文献

{"title":"GIS-MCDA Based Flood Hazard, Vulnerability, and Risk Assessment in the Lower Nilwala Floodplain, Sri Lanka","authors":"Jathun Arachchige Thilini Madushani,&nbsp;Neel Chaminda Withanage,&nbsp;Prabuddh Kumar Mishra,&nbsp;Buddhini Chaturika Jayasinghe,&nbsp;Dilnuchanuwan Wijesinghe","doi":"10.1007/s44177-026-00114-5","DOIUrl":"10.1007/s44177-026-00114-5","url":null,"abstract":"<div><p>Floods are among the most severe climate-induced disasters that severely affect human life, the social and physical environment as well as ecosystem stability. This study aims to model flood hazard, vulnerability, and risk in the lower Nilwala River Basin, Sri Lanka using a geographic information system (GIS) integrated multi-criteria decision analysis (MCDA) approach. Twenty-two sub-criteria under two criteria domains were used to derive final flood indices coupling with the analytic hierarchy process (AHP) and weighted linear combination (WLC) method. The results revealed that hazard criteria play a more decisive role in risk evaluation than vulnerability criteria. Out of the total area 7.9% (32.7 km²) falls under very high and high flood risk categories while 48.7% (200.6 km²) is at moderate risk. Very high risk areas concentrated in and around Matara city since high population density with low elevation and slopes whereas Thihagoda DSD faces high risk. Majority of areas in Kirinda-Puhulwella, Akuressa, and Athuraliya DSDs are in very low to moderate risk areas. The model validation through AUC values of 0.71, 0.65, and 0.70 for FHI, FVI, and FRI has also proved that the reliability of findings. Thus, despite the inherent limitations of the GIS-MCDA based research that utilize remote sensing (RS) data findings offer valuable insights for flood hazard mitigation in the study area. It is recommend that to minimize limitations of these kind of research though integrating high-resolution RS data and improved comparison methods to achieve high accuracy in future studies.</p></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"85 - 108"},"PeriodicalIF":0.0,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Localizing Sustainable Development Goals Through Livelihood Mediation: An Embedded Mixed-Method Ethnographic Study From Rural India","authors":"Sushmita Saini,&nbsp;Smruti Ranjan Padhan,&nbsp;Arkadeb Mukhopadhyay,&nbsp;Karuna P. Bambode,&nbsp;M. G. Pratapa,&nbsp;C. M. Yadav,&nbsp;M. Balakrishnan,&nbsp;R. Venkattakumar,&nbsp;Umesh Hudedamani,&nbsp;P. Venkatesan","doi":"10.1007/s44177-026-00112-7","DOIUrl":"10.1007/s44177-026-00112-7","url":null,"abstract":"<div><p>The localization of Sustainable Development Goals (SDGs) in rural contexts remains a persistent challenge, particularly in regions characterized by livelihood heterogeneity, institutional fragmentation, and ecological vulnerability. This study examines how SDGs are translated into locally meaningful outcomes through everyday livelihood practices in a semi-arid rural area in western India. Adopting an embedded mixed-method ethnographic design, this study integrates household surveys (<i>n</i> = 585), key informant interviews (<i>n</i> = 86), participatory rural appraisal, and human-centred design approaches to capture the dynamic interactions among livelihood assets, institutional structures, and livelihood mediation processes. The SDG outcomes are not directly produced through policy implementation but are mediated through context-specific processes of negotiation, adaptation, and co-production. Asset asymmetries generate unequal adaptive capacities, institutional fragmentation constrains effective service delivery, and gendered power relations shape intra-household decision-making. Additionally, ecological and seasonal risk cycles influence the timing and sustainability of livelihood strategies. The study advances with Participatory Design-Livelihood Mediation Model and an action plan, which conceptualizes SDG localization as a process-driven phenomenon. It advances process-oriented explanation of SDG localization by demonstrating that development outcomes are produced through livelihood mediation mechanisms, rather than linear policy implementation.</p></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"69 - 84"},"PeriodicalIF":0.0,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149162998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trade-offs and Synergies of Soil Restoration Through Conservation Tillage: Strategies for Sustainable Agri-Food Systems in Riverine Agroecosystems","authors":"S. Pazhanisamy,&nbsp;Rodda Chandana Devi,&nbsp;Sunita Kumari Meena,&nbsp;E. Rathinaguru,&nbsp;R. Sushma Devi,&nbsp;S. Mala,&nbsp;Dinesh Jinger,&nbsp;Raj Kumar Jat,&nbsp;H. S. Jat,&nbsp;Vijay Singh Meena,&nbsp;M. L. Jat","doi":"10.1007/s44177-026-00111-8","DOIUrl":"10.1007/s44177-026-00111-8","url":null,"abstract":"<div><p>Intensive tillage practices in riverine landscapes contribute significantly to soil degradation, erosion, nutrient loss, and reduced agricultural resilience under flood-prone conditions. This review evaluates the effectiveness of conservation tillage methods in improving soil health, productivity, and resilience in riverine agri-food systems by synthesizing field-based evidence and economic assessments comparing zero-till, reduced tillage, and cover cropping with conventional tillage practices. The key parameters considered include soil properties, soil organic carbon sequestration, microbial diversity, greenhouse gas emissions, and input costs. The evidence indicated that conservation tillage can enhance soil aggregate stability by 25–50%, increase soil organic carbon sequestration by 0.2–0.5 metric tons per hectare annually, and reduce soil loss rates by up to 60%. It also promotes microbial diversity by 30–50%, improves soil moisture retention by 20–35%, reduces input costs by 20–30% through lower fuel and labour requirements, and decreases greenhouse gas emissions by 15–25%. These findings suggest that conservation tillage can substantially improve soil resilience, productivity, and sustainability in flood-prone riverine agroecosystems, although initial implementation challenges may limit adoption. Promoting conservation tillage through financial incentives, farmer education, supportive policy frameworks, and locally suitable soil-management strategies can strengthen sustainable agriculture and support the achievement of Sustainable Development Goals (SDGs) related to food security (SDG 2), climate action (SDG 13), responsible production (SDG 12), and life on land (SDG 15).</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"1 - 27"},"PeriodicalIF":0.0,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Carbon and Phosphorus Stoichiometry in Different Land use Systems as a Tool for Future Planning in Agroecosystems in North Central India","authors":"Ram Swaroop Meena,&nbsp;Kundan Kumar Singh,&nbsp;Gourisankar Pradhan,&nbsp;Suchismita Satapathy,&nbsp;Sanjeev Kumar,&nbsp;Krishan Kant Mina,&nbsp;Sandeep Kumar,&nbsp;Cherukumalli Srinivasa Rao,&nbsp;Rattan Lal","doi":"10.1007/s44177-026-00110-9","DOIUrl":"10.1007/s44177-026-00110-9","url":null,"abstract":"<div><p>Carbon (C) and phosphorus (P) are key drivers in agroecosystems, following nitrogen (N). However, the stoichiometric relationships between C and P fractions and their concentrations in soil have not been thoroughly investigated. Therefore, an experiment was conducted in four districts (Varanasi, Gazipur, Azamgarh, and Jaunpur) of Uttar Pradesh, India with the objectives to: 1) determine the status of available fixed soil P under diverse agroecosystems, 2) identify the best correlation between C and P fractions across different agroecosystems, and 3) explore the potential for mineralization of fixed soil P to enhance soil organic carbon (SOC) content. Experimental sites in each of the four districts were selected based on four agroecosystems: (i) rice (<i>Oryza sativa</i> (T1), (ii) vegetables (T2), (iii) sugarcane (<i>Saccharum</i> spp.) (T3), and (iv) orchard-based agroecosystems (T4). Following a randomized block design (RBD), soil samples were collected from 0–15 cm and 15–30 cm depths in four replications from these agroecosystems. Results show that the soil in Varanasi recorded the highest SOC content of 1.38 and 1.31% in T4 at both depths, respectively. On the other hand, T1 soil in Azamgarh showed the lowest SOC contents of 0.34% and 0.25% at both depths. Additionally, the maximum SOC stocks of 25.6 and 24.9 Mg ha⁻¹ were observed in T4 of the Varanasi soil at both depths. These SOC stocks were 164.8 and 172.6% higher than those for the T1 treatment. In soil from Jaunpur, the available and total P content ranged from 6.91 to 16.23 kg ha⁻¹ and 12.77 to 21.14 kg ha⁻¹, respectively, at the 0–15 cm soil depth. Based on the SOC fraction study in Varanasi, the labile C fraction ranged from 0.33 to 2.90 g kg⁻¹ and 0.18 to 1.79 g kg⁻¹ at both depths, respectively. Regarding P fractions in the Varanasi district, the maximum values were observed in T4 treatment, including soluble fraction (1.9 parts per million (ppm), aluminum-bound P (71.0 ppm), iron-bound P (33.7 ppm), reductant-soluble P (21.1 ppm), and calcium P (27.4 ppm). This study aimed to identify the optimal C:P stoichiometric relationships across various agroecosystems and to explore the potential to mineralise soil-fixed P by increasing SOC concentrations.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"50 - 68"},"PeriodicalIF":0.0,"publicationDate":"2026-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unfolding Food Access in a Predominantly Rural Landscape: Geospatial Insights into Habitat Segments and Food Linkages","authors":"Amit Kumar Srivastava,&nbsp;Tanu Kumari,&nbsp;Prakashan Chellattan Veettil,&nbsp;Kranthi Kumar Challa,&nbsp;Pavan Kumar Yeggina,&nbsp;Afrin Zainab","doi":"10.1007/s44177-026-00109-2","DOIUrl":"10.1007/s44177-026-00109-2","url":null,"abstract":"<div><p>Food security represents a critical challenge in contemporary rural environments, where spatial barriers significantly influence food accessibility patterns. While spatial food accessibility research has largely focused on urban areas, rural agrarian landscapes of South Asia remain significantly underexplored. Addressing this gap, the present study employs comprehensive geospatial analysis to examine the relationships between habitat density, market distribution (processed and unprocessed), and travel time accessibility in Nalanda district, Bihar, India. The methodology integrated multi-source datasets including Cartosat-2 and Cartosat-3 imagery, Google Open Buildings, Microsoft building footprints, ESA World Cover land use/land cover data, and OpenStreetMap road networks with food market locations geotagged through a KoboToolbox field survey conducted from November to December 2022. Habitat density clusters were delineated using object-based image analysis (OBIA), after which building density mapping, food market distribution analysis and raster-based network travel time modelling were applied on a common 250 m × 250 m grid to analyse food accessibility patterns across diverse rural settlement contexts. This comprehensive geospatial framework, which is rarely applied in rural food system studies, introduces a novel perspective for understanding spatial inequalities in food access. The research identified 1698 food markets (490 processed, 1208 unprocessed) across varying habitat density zones, revealing significant spatial heterogeneity in food access opportunities. Results revealed that processed markets strongly correlate with habitat density (<i>r</i> = 0.987, <i>p</i> &lt; 0.05), unprocessed showed no significant correlation (<i>r</i> = 0.877), thereby, highlighting food deserts in remote areas. Processed stores exhibited a higher mean travel time as compared to unprocessed outlets. The findings revealed spatial inequalities in rural food access with significant implications for environmental, economic, and social sustainability. The integrated geospatial approach demonstrates the value of considering multiple dimensions of accessibility simultaneously and provides a robust framework for policy-relevant food access assessment. These results support the need for region-based intervention strategies that address transportation, infrastructure and market distribution patterns to achieve equitable and sustainable rural food systems. Beyond regional relevance, the findings point to broader implications for strengthening climate resilience and enhancing rural livelihoods.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"109 - 124"},"PeriodicalIF":0.0,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Meteorological Signatures of Forest Fire Events Across Diverse Regions of India","authors":"R. Bhatla,&nbsp;Shishank Prakash,&nbsp;Richa Singh","doi":"10.1007/s44177-026-00107-4","DOIUrl":"10.1007/s44177-026-00107-4","url":null,"abstract":"<div><p>This study explores the current connection between weather and patterns and forest fires in India by emphasizing on the key meteorological parameters that contribute to fire ignition across different regions including the North, North-East, Central, and Southern regions. High-resolution Weather data collected from the reanalysis dataset of the Indian Monsoon Data Assimilation and Analysis (IMDAA) has been used in this research which aims to identify the most significant factors influencing forest fire ignition and provide critical insights for targeted preventive measures. The study reveals that a combination of low precipitation, high temperatures, low soil moisture, and high elevated wind speeds greatly increases the likelihood that forest fires may ignite and spread in India. The analysis highlights the importance of understanding local climatic variations and their implications for fire management strategies. In an attempt to reduce the risk of forest fires, these findings highlight the necessity of integrated fire management strategies that consider meteorological factors into account effectively, however local factors are also needed to be monitored for proper fire prediction.</p></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"28 - 37"},"PeriodicalIF":0.0,"publicationDate":"2026-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149162996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Based Above-Ground Biomass Prediction in Indo-Myanmar Biodiversity Hotspot of India, Using Google Earth Engine","authors":"Kangujam Premkumar,&nbsp;Vivek Vaishnav,&nbsp;Sanjay Singh,&nbsp;Gopal Shukla","doi":"10.1007/s44177-026-00108-3","DOIUrl":"10.1007/s44177-026-00108-3","url":null,"abstract":"<div><p>Accurate measurement and mapping of above-ground biomass (AGB) is critical for SDG 15, facilitating comprehensive ecosystem assessments and carbon sequestration evaluations within biodiversity hotspots like the Indo-Myanmar region. This study employs Random Forest (RF), Classification and Regression Trees (CART), and Gradient Tree Boosting (GTB) models in Google Earth Engine (GEE) to predict AGB in Manipur, India. Using remote sensing data (NDVI, EVI, LAI, FPAR, land cover, and DEM), models were trained on 2010 reference data for 2024 predictions. The Random Forest model achieved an R² of 0.797, outperforming CART and GTB in predictive accuracy (RMSE: 13.678 Mg/ha). NDVI emerged as the key predictor. Prediction maps reveal 24–75% biomass decline, highlighting degradation in this biodiversity hotspot. This approach supports SDG 15 and REDD + by enabling scalable forest monitoring. The findings also underscore the urgent need for improved forest protection, restoration strategies, and long-term monitoring frameworks. This integrated modelling approach offers a scalable tool for supporting evidence-based policies related to forest conservation, carbon accounting, and sustainable landscape management.</p></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"5 1-2","pages":"38 - 49"},"PeriodicalIF":0.0,"publicationDate":"2026-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward Resilient Landscapes: Unpacking India's Land Degradation Challenges, Restoration Policies, and Future Directions","authors":"Sayalee Avinash Gulhane,&nbsp;Shalini Dhyani","doi":"10.1007/s44177-025-00083-1","DOIUrl":"10.1007/s44177-025-00083-1","url":null,"abstract":"<div><p>A serious environmental and socioeconomic problem in India is land degradation, which has a significant impact on rural communities that depend on the land for their livelihoods. This review paper delves into the pressing issue of land degradation in India, exploring its multifaceted dimensions, impacts, and the array of policy measures and restoration programs aimed at mitigating this challenge. The review provides a comprehensive overview of the factors contributing to land degradation, including soil erosion, deforestation, and unsustainable agricultural practices, and their repercussions on the broader concerns of biodiversity, food security, and livelihoods. The paper critically examines India's strategic responses and enabling efforts, notably the National Agroforestry Policy and other significant initiatives like the Green India Mission and Integrated Wasteland Development Program, highlighting their objectives, achievements, and the synergies with global commitments for improving policy effectiveness. Furthermore, it identifies key constraining conditions impeding policy implementation, including encroachment on forest lands, forest fires, and unregulated grazing as a few critical concerns. The review stresses on strengthening and improving policy enforcement, by fostering community engagement, enhancing research and innovation, and ensuring the integration of land restoration with broader national priorities by enhancing convergence. The paper underscores the necessity of a holistic, adaptive management approach, involving all stakeholders to effectively combat land degradation and achieve sustainable land management in India.</p></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"4 4","pages":"334 - 343"},"PeriodicalIF":0.0,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145950682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Doomsday Clocks in the Anthropocene Era: Understanding Existential Risks To Humanity","authors":"Sudhanshu Kumar,&nbsp;Gopal Shankar Singh","doi":"10.1007/s44177-025-00104-z","DOIUrl":"10.1007/s44177-025-00104-z","url":null,"abstract":"<div><p>The world presently witnesses two distinct “Doomsday Clocks” for symbolically recognizing and creating awareness of the threats to the survival of humanity. The Doomsday clocks have been set for 2025 by the Bulletin of Atomic Scientists (BAS) and the Asahi Glass Foundation (AF). Both clocks serve as symbolic warning systems for global existential risks but differ in methodology, scope, and target audiences. The BAS, through expert committee deliberation focusing on the nuclear, climate, biological and technological threats, fixed the Doomsday Clock 89 s to midnight. The AF Environmental Doomsday Clock set at 9:33 exclusively addresses environmental crises through weighted surveys of global environmental experts. This article explores their comparative methodologies, current settings, key factors, and significance for the Anthropocene era. Both clocks moved closer to midnight in 2025, indicating unprecedented pace of worsening global conditions and stresses the urgent need for integrated approaches to address both immediate existential risks and long-term environmental sustainability. It also highlights the complementary nature of both the Doomsday Clocks in emphasizing the gravity of the situation.</p></div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"4 4","pages":"344 - 351"},"PeriodicalIF":0.0,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145950711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stubble Burning and Air Pollution in Delhi: Assessment of Mitigation Strategies","authors":"Manas Kumar Jha,&nbsp;Ruchi Gupta,&nbsp;Ashutosh Kainthola,&nbsp;Vaishali Sahu,&nbsp;Pranavi Mishra,&nbsp;Dilip Kumar Markandey,&nbsp;Shahbaz Alam","doi":"10.1007/s44177-025-00106-x","DOIUrl":"10.1007/s44177-025-00106-x","url":null,"abstract":"<div>\u0000 \u0000 <p>The seasonal practice of stubble (crop residue) burning in northern India, particularly in the states surrounding the National Capital Region (NCR) of Delhi, has negative impacts on the air quality. This study examines the effects of stubble burning on air quality across Delhi-NCR, between 2019 and 2024, with a focus on seasonal variations. Further, potential solutions for crop residue management, including agricultural equipment, organic treatments , and incentive based programs have been explored. The study also evaluates government initiatives, such as subsidies and technological support, and provides policy recommendations to enhance these efforts. The findings indicate that a multi-faceted approach, integrating financial incentives, technological advancements, and regulatory measures, is crucial for mitigating air pollution caused by stubble burning. Implementing these strategies will not only reduce emissions but also improve soil health, thereby promoting sustainable agricultural practices.</p>\u0000 </div>","PeriodicalId":100099,"journal":{"name":"Anthropocene Science","volume":"4 4","pages":"283 - 294"},"PeriodicalIF":0.0,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145950699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}