The scale of the land transformation emerges clearly from the satellite record. Between 2005 and 2024, agricultural land in and around Dehradun declined by 34 percent, forest cover fell by 14 percent, and grassland buffers diminished by 39 percent. Each of these losses matters for reasons that go beyond scenery. Farmland conversion removes the peri-urban soils that once absorbed rainfall and recharged aquifers; forest loss erodes slope stability and biodiversity habitat in a seismically and hydrologically sensitive Himalayan setting; and disappearing grasslands strip away the transitional zones that filter runoff and moderate local climate. The study attributes much of this conversion to sprawling, low-density development rather than compact growth, a pattern long associated with inefficient infrastructure provision and greater per-capita environmental burdens. In Dehradun’s case, the sprawl proceeded with little of the regulatory coordination that planners might have hoped the city’s master plan and smart city proposals would impose.

The most direct human consequence documented by the team is the deterioration of groundwater, the resource on which much of the city depends. Total dissolved solids in the city’s groundwater increased by more than 70 percent over the study period. Water hardness rose from 142.5 milligrams per liter to 197.4 milligrams per liter, climbing toward and past thresholds that consumers and regulators find concerning. Nitrate concentrations were found to frequently exceed permissible limits, a classic signature of sewage infiltration and fertilizer leaching, and the researchers recorded widespread microbial contamination across monitored wells. For a city perched above porous Himalayan foothill aquifers, these numbers describe more than a technical problem. They indicate that the same ground on which houses and roads now stand is transmitting waste-derived contaminants directly into the drinking water supply, with potential consequences for public health that the indicators only begin to capture.

Air quality tells a parallel story of growth outpacing environmental capacity. Across Dehradun’s major urban corridors, PM10 concentrations increased by 45 to 60 percent and PM2.5 concentrations by 40 to 80 percent over the study period. Particulate matter at these sizes penetrates deep into the lungs and enters the bloodstream, and epidemiological research has linked long-term exposure to cardiovascular and respiratory disease. In a valley city where topography can trap pollutants during temperature inversions, rising particulate loads compound an already vulnerable atmospheric setting. The study’s statistical modeling makes the connection explicit: built-up expansion correlated strongly with PM2.5 levels, with a correlation coefficient of 0.84, among the strongest associations reported in the analysis. In other words, the spatial pattern of new construction does not merely coincide with dirtier air; the two move together closely enough that land-use policy is, in effect, air-quality policy.

Water and air are not the only media under stress. Noise monitoring revealed that levels exceeded regulatory standards at more than 65 percent of the locations surveyed, a burden concentrated along the transport corridors where traffic, construction, and commercial activity converge. Chronic noise exposure is associated with sleep disturbance, elevated stress hormones, and cardiovascular risk, yet it is among the least regulated dimensions of urban environmental quality in fast-growing Indian cities. Meanwhile, the city’s material flows have swelled beyond its capacity to process them. Municipal solid waste generation reached 280 tonnes per day, but processing efficiency stands at only 70 percent, meaning roughly a third of the daily waste stream is unaccounted for in terms of treatment, with predictable consequences for land, water, and air. Sewage treatment capacity, likewise, remains below the volume of wastewater the city actually generates, leaving untreated effluent to find its way into groundwater and surface channels.

The statistical backbone of the study gives these observations their force. By correlating built-up expansion against a suite of environmental indicators, the researchers demonstrated that degradation is not randomly distributed but systematically tied to the geography and pace of development. Groundwater TDS correlated with built-up growth at 0.82, and nitrate concentration at 0.77, alongside the 0.84 coefficient for PM2.5. In environmental research, correlation coefficients of this magnitude across independent indicators are notable, because they suggest a common driver rather than a collection of unrelated local problems. The authors frame this as evidence that unregulated spatial growth functions as an integrated stressor: the same expansion that paves over recharge zones also concentrates traffic, generates waste, and outpaces the sewerage network. Addressing any single indicator in isolation, the analysis implies, will fail so long as the underlying land-use trajectory remains unchecked.

Set against the Sustainable Development Goals, the picture darkens further. SDG 11 calls for cities that are inclusive, safe, resilient, and sustainable, with specific targets covering air quality, waste management, water and sanitation, and access to green public space. The study finds substantial deviations from these targets in Dehradun on nearly every dimension it measured: particulate pollution rising rather than falling, waste processing short of full coverage, sewage treatment lagging behind generation, water quality deteriorating, and the green and agricultural land base contracting. The researchers’ assessment of urban infrastructure performance, drawing on census data, municipal datasets, and environmental monitoring records, indicates that infrastructure augmentation has simply not kept pace with the physical growth of the city. This is a pattern familiar across Himalayan hill towns, where steep terrain, limited flat land, and ecological fragility magnify the costs of every unplanned extension of the urban edge.

The methodological approach itself carries lessons for other cities in the region. By combining freely available Landsat and Sentinel imagery with supervised classification and post-classification change detection, the team produced a two-decade change record without requiring expensive bespoke data collection. Anchoring the satellite analysis in census data, municipal records, and environmental monitoring allowed the researchers to move from mapping to causally suggestive statistics, connecting the where of urban growth to the what of environmental harm. For city governments with limited analytical budgets, this kind of indicator-based geospatial framework offers a replicable template: it can flag which corridors are degrading fastest, which aquifers are failing, and which SDG targets are most off-track, providing an evidence base for prioritizing interventions before conditions become irreversible.

The authors’ prescription is correspondingly integrated rather than piecemeal. They call for strengthened land-use regulation, ecological conservation of the remaining forest and grassland buffers, augmentation of water, sewage, and waste infrastructure, and climate-resilient urban planning to steer Dehradun back toward sustainable development. None of these measures is novel in itself; what the study adds is quantitative proof that in Dehradun they are interdependent. Every year of continued sprawl simultaneously worsens the air residents breathe, the water they drink, and the noise they endure, while eroding the natural systems that could buffer the city against floods, landslides, and a warming climate. As Himalayan foothill cities across India and neighboring countries absorb some of the world’s fastest urban growth, Dehradun’s two-decade satellite record stands as a clear-eyed account of what unmanaged expansion costs, and a data-driven argument for why the next two decades must be different.

Subject of Research: Urban sprawl and its environmental impacts in Dehradun, India, assessed through geospatial and environmental indicator analysis against SDG 11

Article Title: Assessing urban sprawl, environmental vulnerability, and SDG 11 alignment using geospatial and environmental indicator-based analysis in Dehradun, India

Article References: Bharmoria, R., Nainwal, R., Chaturvedi, P., & Belwal, H. (2026). Assessing urban sprawl, environmental vulnerability, and SDG 11 alignment using geospatial and environmental indicator-based analysis in Dehradun, India. SN Social Sciences, 6(10), Article 541. https://doi.org/10.1007/s43545-026-01827-5

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01827-5

Keywords: urban sprawl, Dehradun, land use land cover change, remote sensing, groundwater quality, air pollution, noise pollution, SDG 11, sustainable cities, Himalayan foothills, environmental indicators, urban planning

The Jaunsari tribe occupies a distinctive place among the communities of the Indian Himalaya. The study describes them as distinct in culture, tradition and language, with a deep and practical attachment to the forest that surrounds their settlements. That attachment is not sentimental but functional: for centuries, the forest has served as the community’s pharmacy, its pharmacopoeia transmitted orally from elders to younger generations. Earlier ethnobotanical work in the region, including surveys of the Jaunsar-Bawar area published in the Indian Journal of Traditional Knowledge and Indian Forester, had already established the richness of this plant-based medical tradition. The new research builds on that foundation at a moment when the ecological and social conditions that sustained the tradition are shifting rapidly.

The methodological approach was deliberately direct. The researchers conducted a household survey across villages in Dehradun district using a structured questionnaire, gathering information on which plants are used, which plant parts are harvested, and which ailments they are deployed against. Household surveys of this kind are a standard instrument in ethnobotany, but their value depends on timing. Knowledge held by a small number of knowledgeable individuals, and passed on only by word of mouth, can disappear within a single generation if the chain of transmission breaks. The authors report with prior informed consent from all participants, and the study notes that anonymity and confidentiality were maintained throughout, in line with institutional and international ethical guidelines for research involving human participants.

The headline finding is the documentation of thirty-six medicinal plant species in active use for the treatment of fever, cough, indigestion, joint pain and skin ailments. That range of complaints is telling. These are not exotic conditions but the everyday health burdens of rural life, and the fact that a substantial proportion of them are still managed with plant remedies indicates that the traditional system remains a living practice rather than a historical curiosity. Each of the thirty-six species represents a distinct bundle of information: the correct season for collection, the appropriate preparation method, the dosage, and the specific symptom profile it addresses. Losing any one of these species, or the knowledge attached to it, removes a node from a network of practice built up over generations.

One of the study’s most technically interesting results concerns which parts of the plants are used. Leaves emerged as the most frequently harvested plant part, followed by roots and then seeds. This hierarchy matters for conservation in ways that are easy to underestimate. Harvesting leaves, in most cases, is a comparatively low-impact practice: a plant can often survive defoliation and regenerate, whereas the removal of roots frequently kills the individual, and seed collection can compromise the next generation’s recruitment. A tradition that favors leaves over roots is, in effect, a tradition with a built-in sustainability bias. The documentation of this pattern gives conservation planners a concrete starting point: protecting the species whose roots are used requires different interventions, such as cultivation programs, than protecting those whose leaves alone are gathered.

The study situates this documentation within the broader context of climate change, which the authors, citing the United Nations Department of Economic and Social Affairs, describe as the greatest challenge facing humanity today. In the Jaunsari context, climatic shifts are reported to be affecting the community in several specific ways: loss of biodiversity, a general decline in traditional ecological practices, and an increasing disconnection of the younger generation from rural life. Each of these pressures interacts with the others. As plant populations shift or decline in response to changing temperature and precipitation patterns, the raw material of the pharmacopoeia becomes scarcer. As young people migrate toward urban employment and formal schooling, the oral transmission chain weakens. The result is a double erosion, ecological and cultural, in which each accelerates the other.

This coupling of ecological and cultural loss is what gives the study its urgency. Ethnobotanists have long argued that indigenous knowledge systems are not merely archives of useful facts but adaptive systems that have co-evolved with local ecosystems. The Jaunsari pharmacopoeia encodes centuries of empirical observation about which plants grow where, when they are most potent, and how they should be prepared. When climate change alters the distribution and phenology of Himalayan flora, the knowledge system must adapt as well, and adaptation requires that the knowledge remain alive in practice. A tradition documented only in a paper archive cannot adjust to a shifting baseline; a tradition maintained by living practitioners can. This is why the authors emphasize documentation as a tool for sustainable preservation rather than as an end in itself.

The Dehradun district setting adds another layer of significance. The region’s flora has been catalogued since at least the 1920s, when Kanjilal and Gupta produced their forest flora of the Chakrata, Dehra Dun and Saharanpur forest divisions, and herbaceous flora surveys followed in subsequent decades. Against this long botanical record, contemporary ethnobotanical surveys can track not only what people know but what remains available to them. The study’s reference list draws on a substantial body of prior regional work, including ethnomedicinal surveys of the Garhwal Himalaya and studies of livelihood adaptation to climate variability in Jaunsar-Bawar, positioning the new data within a research tradition that stretches back decades. The continuity of that record is itself a scientific asset, allowing future researchers to compare present-day plant use with historical baselines.

The authors argue that the findings underscore the importance of climate change mitigation techniques that connect traditional medicinal knowledge systems with contemporary scientific insights, in order to guarantee the sustainable use and preservation of the medicinal flora. In practical terms, this integration can take several forms. Phytochemical analysis can validate and standardize traditional preparations, as has been done for other Himalayan remedies. Cultivation of high-demand species can relieve harvesting pressure on wild populations. Community-based conservation programs can compensate elders for teaching, and young people for learning, the knowledge that formal economic incentives currently undervalue. The study itself did not test these interventions, but its documentation provides the evidentiary basis on which such programs must be designed: you cannot conserve what you have not recorded.

There is also a wider lesson here for how science approaches indigenous knowledge at a moment of global environmental change. The Jaunsari case is local, but the pattern it illustrates is not. Across mountain regions worldwide, communities whose livelihoods depend most directly on ecosystem services are experiencing climate impacts first and hardest, while the knowledge systems they have refined over centuries are simultaneously being lost to cultural change. Studies like this one treat that knowledge as data worth collecting with rigor, using structured questionnaires, informed consent protocols, and quantitative documentation of plant-part usage patterns. The thirty-six species recorded in Dehradun district are, in that sense, more than a list. They are a snapshot of a working system of empirical medicine, taken at the moment when both the plants and the practice face their most serious test in generations. Whether the system adapts or dissolves will depend on decisions about conservation, education and health policy that extend far beyond the villages where the surveys were conducted, but the first step, capturing the knowledge before it fades, has now been taken.

Subject of Research: Documentation of indigenous medicinal plant knowledge of the Jaunsari tribe in Dehradun, India, in the context of climate change

Article Title: Documentation of indigenous knowledge of medicinal plants of Jaunsari’s living in Dehradun, India for sustainable preservation

Article References: Gangwar, P., & Karuna, M. S. (2026). Documentation of indigenous knowledge of medicinal plants of Jaunsari’s living in Dehradun, India for sustainable preservation. Plant Biosystems, 160(4), Article 218. https://doi.org/10.1007/s44473-026-00230-5

Image Credits: AI Generated

DOI: 10.1007/s44473-026-00230-5

Keywords: ethnobotany, medicinal plants, Jaunsari tribe, indigenous knowledge, climate change, Himalaya, Dehradun, biodiversity conservation, traditional medicine, Uttarakhand, household survey, sustainable preservation