Dr. Varun Parmar: Project Associate at CSK, HPKV, Palampur, India
1. Article Details
This research article, titled “Predictive modelling of soil organic carbon, carbon stocks, and fractions across elevation gradients in the dry-temperate region of North-West Himalaya,” was published by Varun Parmar and co-authors in Environmental Monitoring and Assessment on 14 August 2026. The study was conducted in Kinnaur district of Himachal Pradesh and focused on understanding the spatial variation of soil organic carbon (SOC), carbon stocks and carbon fractions across different elevation gradients. Soil samples were collected from 146 georeferenced locations representing four elevation zones. The researchers incorporated 24 environmental covariates related to topography, climate, soil and environmental conditions. Random Forest, Random Forest Regression Kriging and Ordinary Kriging were used to predict SOC distribution, followed by uncertainty analysis and fuzzy clustering for identifying carbon management zones. The study produced high-resolution 30-m SOC maps and demonstrated that SOC increased from 10.60 g kg⁻¹ at lower elevations to 19.72 g kg⁻¹ at higher elevations, while SOC stocks approximately doubled across the elevation gradient.
2. Novelty
The major novelty of this study is its integrated use of machine learning, geospatial interpolation, uncertainty assessment and carbon-management zoning to understand SOC dynamics in a complex Himalayan landscape. Unlike conventional studies that mainly examine the relationship between SOC and elevation, this research demonstrates that elevation functions largely as an indirect surrogate for changes in climate, topography and other environmental variables. The comparison of Random Forest, Random Forest Regression Kriging and Ordinary Kriging provides a stronger methodological basis for SOC prediction. The use of elevation-stratified modelling is another important feature because it attempts to reduce large-scale environmental heterogeneity. The generation of 30-m-resolution SOC maps and identification of carbon accumulation hotspots further increase the practical value of the research. The combination of carbon fractions with fuzzy clustering to develop two Carbon Management Zones makes the study particularly distinctive because it connects SOC prediction with spatially targeted management.
3. Impact
The study has important scientific, environmental and management implications for Himalayan ecosystems. Scientifically, it improves understanding of how climatic and topographic gradients influence the distribution and stability of soil carbon. Environmentally, the identification of high-carbon areas provides useful information for protecting important terrestrial carbon reservoirs. The finding that higher elevations contain greater SOC and more passive carbon pools suggests that these areas may play an important role in long-term carbon storage. The research can also contribute to climate-change mitigation by improving estimates of soil carbon stocks. From a management perspective, the high-resolution maps provide spatial information that can support soil conservation, ecosystem restoration and sustainable land-use planning. The study is particularly relevant to mountainous regions where conventional field-based soil assessment is difficult, costly and spatially limited.
4. Originality
The originality of the study comes from combining several complementary approaches into a single spatial carbon-assessment framework. Instead of treating SOC as a variable controlled simply by elevation, the research investigates the environmental processes represented by elevation and incorporates multiple environmental covariates into predictive models. The simultaneous assessment of SOC concentration, carbon stocks and carbon fractions provides a more comprehensive picture of soil-carbon dynamics. The study also goes beyond prediction accuracy by examining uncertainty calibration between Random Forest and Random Forest Regression Kriging. The development of Carbon Management Zones through fuzzy clustering is another original aspect because it converts scientific predictions into spatially explicit management information. Thus, the work is original not merely because it applies machine learning, but because it integrates prediction, uncertainty, carbon-pool characterization and management zoning within a Himalayan soil-carbon framework.
5. Experimental Rigor
The study demonstrates good experimental and analytical rigor through systematic georeferenced soil sampling across four elevation zones and the use of 24 environmental predictors. The comparison of multiple modelling techniques strengthens the reliability of the conclusions because the performance of advanced machine-learning models was evaluated against Ordinary Kriging. Random Forest and Random Forest Regression Kriging consistently performed better than Ordinary Kriging, indicating that nonlinear relationships between SOC and environmental variables are important in the study region. Model validation and uncertainty analysis provide additional confidence in the predicted spatial patterns. The use of elevation-stratified modelling further demonstrates an attempt to address environmental heterogeneity rather than applying a single model blindly across the entire landscape. Nevertheless, the use of 146 sampling locations in a highly heterogeneous mountainous region means that additional independent sampling and external validation could further strengthen the generalizability of the results.
6. Sustainability Impact
The research has considerable sustainability value because SOC is closely connected with soil quality, ecosystem functioning and climate regulation. Identifying areas with high carbon storage can help prevent degradation of important carbon reservoirs and guide conservation efforts. The distinction between more labile carbon pools at lower elevations and relatively passive carbon pools at higher elevations can support differentiated soil-management strategies. Maintaining SOC can contribute to improved soil structure, nutrient cycling, water retention and ecosystem resilience. The Carbon Management Zones provide a basis for moving from generalized land management toward location-specific conservation practices. In the context of the Himalaya, where ecosystems are sensitive to climate change, land-use pressure and environmental degradation, such spatially targeted approaches can contribute to long-term ecosystem sustainability.
7. Applicability
The methodology has strong potential for application in other mountainous and environmentally heterogeneous regions. The combination of field observations, environmental covariates, machine learning and geospatial modelling can be adapted for SOC assessment in other parts of the Himalaya and potentially other mountain ecosystems. The 30-m-resolution predictions can support digital soil mapping, carbon-stock assessment, ecological restoration and land-use planning. Government agencies, researchers and land managers could potentially use similar approaches to identify carbon-rich areas and prioritize conservation interventions. The methodology could also be incorporated into broader soil-carbon monitoring and climate-mitigation programmes. However, application to other regions should involve local calibration and validation because relationships between SOC, climate, vegetation, soil properties and elevation can vary considerably between ecosystems.
Research Portfolio
Dr. Varun Parmar is a Soil Scientist and Project Associate affiliated with CSK Himachal Pradesh Krishi Vishvavidyalaya (CSK HPKV), Palampur, Himachal Pradesh. He completed his PhD in Soil Science from CSK HPKV, Palampur, in August 2024. His research career is centered on understanding soil processes, soil health, soil carbon dynamics, nutrient management, soil microbiology, and sustainable agricultural systems. He has developed research expertise in the isolation, characterization, and identification of plant growth-promoting rhizobacteria, digital soil mapping, geospatial characterization of soil properties, and assessment of soil organic carbon and its fractions. His work also extends to high-altitude medicinal plants, essential oil production, conservation of Himalayan plant resources, and sustainable management of fragile mountain agroecosystems. He has contributed to several peer-reviewed research articles, book chapters, and national-level scientific conferences, with particular emphasis on soil quality, carbon dynamics, integrated nutrient management, and sustainable agricultural practices in the Himalayan region.
Online Profile
Dr. Varun Parmar is a researcher affiliated with CSK Himachal Pradesh Agriculture University, Palampur, India, with research interests spanning Soil Science, soil carbon dynamics, soil health, nutrient management, soil microbiology, digital soil mapping, and sustainable agricultural systems. His Scopus Author ID is 58640910100. His Scopus profile currently records 4 documents, 7 citations from 7 citing documents, and an h-index of 2. His publication record reflects interdisciplinary research focused particularly on soil quality, carbon dynamics, integrated nutrient management, soil microbiological properties, geospatial soil characterization, and sustainable agriculture in the Himalayan region. He also has an ORCID connection option associated with his Scopus author profile, supporting integration of his research outputs across scholarly platforms.
Education
Dr. Varun Parmar obtained his PhD in Soil Science from CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, with the degree awarded on 17 August 2024. His doctoral and academic training provided him with comprehensive knowledge and practical experience in soil science, soil fertility, nutrient management, soil microbiology, soil carbon dynamics, and sustainable soil management. His academic work has been closely associated with agricultural soils of the North-West Himalayas, with particular emphasis on acid Alfisols, dry-temperate soils, soil organic carbon, nutrient transformations, and soil quality assessment. His academic background also supports his current interests in digital soil mapping, geospatial analysis, microbial characterization, and plant–soil interactions. He has additionally completed relevant certifications, as documented in his academic records.
Research Focus
Dr. Parmar’s current research focuses on the isolation, characterization, and identification of plant growth-promoting rhizobacteria from soil and their potential applications in sustainable agriculture and soil health management. A major component of his research interests is digital soil mapping (DSM), including the use of geospatial approaches, geostatistics, and machine-learning techniques for spatial prediction and characterization of soil properties. He is also interested in soil organic carbon dynamics, carbon stocks, carbon fractions, soil microbial properties, and the influence of nutrient-management practices on soil quality. His broader research interests include integrated nutrient management, soil fertility, sustainable agricultural practices, soil–plant–microbe interactions, conservation of soil resources, and climate-resilient agricultural systems. His research has a particular geographical emphasis on the diverse and environmentally sensitive agroecosystems of the North-West Himalayas.
Experience
Dr. Varun Parmar has developed research experience through academic research and project-based assignments in Soil Science, soil management, and Himalayan bioresource research. He worked as a Project Associate at CSIR–Institute of Himalayan Bioresource Technology (IHBT), Palampur, Himachal Pradesh, from 1 September 2025 to 31 July 2026. During this period, he contributed to research on high-altitude medicinal plants, including the development of Package of Practices (PoP) for medicinal plant cultivation and assessment of essential oil yield and quality. He was also involved in the collection, characterization, documentation, and ex-situ preservation of Fritillaria species from high-altitude regions of Himachal Pradesh. His field activities resulted in the systematic collection and characterization of Fritillaria germplasm from 20 different locations. His experience combines laboratory research, field experimentation, soil and plant sampling, data analysis, scientific documentation, conservation research, and dissemination of research findings.
Research Timeline & Activities
Dr. Parmar’s research journey reflects a progressive development of expertise across soil science, sustainable agriculture, soil carbon research, microbiology, geospatial analysis, and Himalayan plant-resource conservation. His earlier research activities included studies on nutrient management, soil fertility, crop productivity, profitability, and soil properties under different agricultural practices. He subsequently expanded his research into long-term soil carbon dynamics, soil microbial populations, phosphorus fractions, and integrated nutrient-management systems in acid Alfisols of the North-West Himalayas. His work later incorporated geospatial characterization and digital approaches for mapping soil properties and soil organic carbon across elevation gradients. Alongside soil research, he gained experience in high-altitude medicinal plant cultivation, essential oil quality assessment, and conservation of Fritillaria species. He has presented his research at national scientific conferences, including events organized by SCSI, and has contributed to scientific publications and books covering soil health, soil biotechnology, rhizosphere processes, biofilms, and ecosystem services.
Awards & Honors
Specific awards, medals, fellowships, or formal honors were not included in the information provided. Nevertheless, Dr. Parmar has established a strong record of academic and research achievements through completion of a PhD in Soil Science, publication of multiple peer-reviewed research papers, participation in national scientific conferences, and contribution to several scientific books and book chapters. His research has been published in internationally recognized journals covering soil science, environmental monitoring, plant biology, agricultural ecology, and soil and plant nutrition. His participation in scientific conferences and presentation of research on natural farming, sustainable crop production, soil organic carbon mapping, geostatistics, and machine-learning approaches further demonstrates his active engagement with the scientific research community.
Strength for a Young Researcher Award
1. Interdisciplinary and Innovative Research
Dr. Parmar demonstrates strong interdisciplinary research capability by integrating soil science, soil carbon dynamics, microbiology, geospatial science, machine learning and Himalayan bioresource conservation. His recent work combines Random Forest, geostatistical modelling, uncertainty analysis and fuzzy clustering to develop high-resolution soil-carbon maps, demonstrating an ability to apply advanced technologies to complex environmental problems.
2. Strong Contribution to Himalayan Soil and Carbon Research
A major strength is his focused contribution to understanding soil organic carbon, carbon stocks, carbon fractions and soil quality in the North-West Himalayas. His research addresses environmentally sensitive mountain ecosystems where soil properties vary substantially with elevation, climate and topography. His work provides scientifically valuable information for understanding and conserving Himalayan soil-carbon reservoirs.
3. Research with Direct Sustainability and Climate-Relevance
Dr. Parmar’s research has clear relevance to climate-change mitigation, soil conservation, sustainable agriculture and ecosystem resilience. His identification of carbon-rich areas and Carbon Management Zones can support targeted conservation and land-management strategies. His work therefore connects fundamental soil science with practical solutions for maintaining soil health and long-term carbon storage.
4. Diverse Field, Laboratory and Advanced Analytical Expertise
He has developed a broad research skill set spanning field sampling, soil and plant analysis, microbial characterization, geospatial data analysis, digital soil mapping, machine learning, geostatistics and scientific documentation. His experience also includes high-altitude medicinal plants and Fritillaria germplasm conservation. This combination of field-based research and advanced analytical approaches demonstrates considerable versatility for an early-career researcher.
5. Emerging Research Leadership and Future Potential
Despite being an early-career scientist, Dr. Parmar has established a research trajectory spanning soil health, nutrient management, soil microbiology, soil carbon, digital soil mapping and Himalayan bioresources. His PhD training, project-based research experience, peer-reviewed publications, scientific presentations and interdisciplinary collaborations provide a strong foundation for future independent research. His ability to translate advanced scientific methods into regionally relevant environmental and agricultural applications indicates high potential for continued research leadership and impact.