The research, led by Bhushan K. Shigwan and colleagues at the Agharkar Research Institute in Pune, set out to answer a deceptively simple question: do different kinds of forest protection actually produce different kinds of forests? The team compared four distinct protection regimes across the Northern Western Ghats and the adjacent Konkan coastal belt—state-run Protected Areas such as national parks and wildlife sanctuaries, government-managed Reserved Forests, community-protected Sacred Groves, and privately owned forests that include coffee plantations and silvicultural holdings. While earlier studies had examined individual regimes in isolation, no comprehensive survey had systematically compared tree diversity, community structure, and species composition across all four within this region as an integrated landscape.

The scale of the effort was considerable. Between 2017 and 2021, the researchers laid out forty transects—ten in each protection regime—stretching across an elevational range from 26 to 1,411 meters above sea level and a latitudinal span of nearly five degrees. Each transect ran 140 meters and contained four quadrats of 20 by 20 meters, spaced with 20-meter gaps to reduce spatial autocorrelation. Within every quadrat, the team measured all woody individuals with a girth at breast height of at least 30 centimeters, recording species identity, abundance, and trunk dimensions. Field identifications were verified against herbarium specimens at the Agharkar Herbarium of Maharashtra Association, and sampling was deliberately timed between December and May to avoid the monsoon, minimize phenological bias, and comply with access restrictions during wildlife breeding periods.

To quantify human pressure, the researchers scored eight categories of disturbance at each site—cutting, lopping, fire, grazing, construction, internal pathways, other human activities such as festivals and tourism, and proximity to roads—on an ordinal scale from zero to five. These scores were aggregated into a Combined Disturbance Index, a single number capturing the overall anthropogenic footprint of each forest. The results were striking. Sacred Groves recorded the highest average disturbance score at 47.75, followed by private forests at 34.5 and Reserved Forests at 31.5, while Protected Areas enjoyed the lowest at 17.5. The differences were statistically significant, confirming that the four regimes genuinely represent a gradient of human impact rather than merely different labels on similar land.

In total, the team recorded 3,360 woody plants representing 148 species, 118 genera, and 43 families. Reserved Forests emerged as the diversity champions, with the highest number of species at 89, along with the greatest richness of evergreen and endemic species. Protected Areas followed closely, while Sacred Groves matched Protected Areas in species count. Private forests told a different story: they hosted the highest richness and abundance of deciduous species and the lowest representation of evergreens, painting a picture of communities shifted toward disturbance-tolerant, drought-deciduous taxa. Shannon diversity values ranged from 1.13 to 2.98 across sites, and permutation-based analysis of variance revealed significant differences in species richness among regimes, though post-hoc tests suggested these arose from modest but consistent shifts rather than any single dramatic contrast.

Perhaps the most technically revealing results came from the structural analysis. Tree density differed strongly among regimes, with Reserved Forests and Protected Areas supporting the highest stem counts, dominated by individuals in the smallest girth class of 30 to 60 centimeters—a signature of active regeneration and younger, recovering stands. Sacred Groves, by contrast, showed lower densities but the highest mean basal area at 42.33 square meters per hectare, significantly exceeding both private forests and Reserved Forests. In the largest girth classes, above 150 centimeters, Sacred Groves held significantly more trees than any other regime. These giants, some potentially centuries old, represent legacy biomass that younger forests cannot replicate, and they position sacred groves as critical reservoirs of carbon and structural complexity in a fragmented landscape.

Community composition told a subtler story. Non-metric multidimensional scaling of site-level abundances showed that most sampling sites from Protected Areas, Sacred Groves, and Reserved Forests clustered tightly together, indicating broad overlap in species assemblages. Cluster analysis identified two main groupings—Sacred Groves with Protected Areas, and private forests with Reserved Forests—with overall similarity between regimes hovering around 38 percent, and roughly 50 to 54 percent within the paired groups. Only 26 species were shared across all four regimes, while each harbored 11 to 20 unique species. An analysis of similarities confirmed that compositional differences among regimes were weak and statistically non-significant, suggesting that chronic disturbance reshapes forest structure and functional traits without necessarily causing wholesale turnover in which species are present.

One species stood out as the great connector of these fragmented worlds. Memecylon umbellatum, a shade-intolerant, early-successional tree dispersed by birds and mammals, ranked among the dominant species in every protection regime, contributing disproportionately to total abundance everywhere the team looked. Its ubiquity likely reflects both its tolerance of canopy disturbance and the persistence of animal dispersal vectors across the landscape. Seed dispersal analysis added another layer: autochorous, self-dispersing species were significantly more common in private and Reserved Forests, where disturbed microhabitats favor them, while zoochorous, animal-dispersed species—typical of evergreen forests—remained well represented across all regimes, hinting that ecological relationships between trees and their dispersers persist even in degraded stands.

The conservation implications are profound. The authors argue that no single protection regime can represent the full biodiversity and structural value of the Northern Western Ghats; instead, the region’s ecological integrity rests on the complementarity of its management mosaic. Sacred Groves, sustained for generations by socio-cultural norms rather than enforcement, act as refugia for mature trees and endemic species, yet they are increasingly threatened by urbanization and the erosion of traditional practices, with significant losses reported over the past five decades. Protected Areas and Reserved Forests, meanwhile, are the engines of regeneration, teeming with young stems that promise future canopy. Private forests, though the most degraded, offer the greatest restoration opportunity: reintroducing evergreen and endemic species at lower elevations could recover biomass, carbon storage, and habitat connectivity.

For a biodiversity hotspot where primary forest loss and human pressure continue to mount, the message is clear and urgent. Formal legal protection matters—it suppresses disturbance and nurtures the next generation of forest. But cultural protection matters too, in ways that law cannot replicate, preserving the ancient giants that anchor forest ecosystems. The researchers call for regime-specific conservation strategies that pair disturbance regulation and restoration in private and community forests with renewed support for the community stewardship that keeps sacred groves standing. In the Northern Western Ghats, saving biodiversity will require not one fortress of conservation, but an entire alliance of them—legal, cultural, and private—each playing an irreplaceable role in sustaining the forest of the future.

Subject of Research: Comparative assessment of tree diversity and forest structure across four protection regimes in the Northern Western Ghats, India

Article Title: Assessing the impact of differential protection regimes on tree diversity and composition in the Western Ghats: insights for conservation strategies

Article References: Shigwan, B. K., Kulkarni, A., Smirthy, V., Page, N. V., Shetti, R., & Datar, M. N. (2026). Assessing the impact of differential protection regimes on tree diversity and composition in the Western Ghats: insights for conservation strategies. Discover Ecology, 2(1), Article 2. https://doi.org/10.1007/s44396-025-00016-7

Image Credits: AI Generated

DOI: 10.1007/s44396-025-00016-7

Keywords: Western Ghats, sacred groves, tree diversity, forest conservation, protected areas, basal area, endemic species, anthropogenic disturbance, seed dispersal, biodiversity hotspot, community conservation, forest structure

The study, published in Discover Forests, represents one of the few genuine long-term reassessments of biomass and carbon storage ever conducted in the tropical dry forests of Central India. A team led by Pranab Kumar Pati of Dr. Harisingh Gour Vishwavidyalaya in Sagar returned in 2025 to the same six forest communities first surveyed in 2001, using the same quadrat-based field protocols to make the two datasets directly comparable. The baseline came from earlier vegetation work in the Pathariya Hills, a rugged outcrop of the lower Vindhyan range built on Deccan Trap basalt, where steep slopes, gullies, ravines and plateaus create a mosaic of soils and habitats that support strikingly different forest assemblages within a small area.

The headline structural finding is stark. Tree density fell from 2,727 individuals per hectare in 2001-02 to 1,347 per hectare in 2025, a statistically significant decline with a large effect size. Yet basal area, the cross-sectional area of all tree stems measured at breast height, barely changed, slipping only marginally from 20.41 to 19.83 square metres per hectare. The explanation lies in the size distribution of the survivors. Mean basal area per tree nearly doubled across the landscape, from 0.0075 to 0.0147 square metres, indicating that the trees that disappeared were overwhelmingly small and young, while the remaining large individuals kept growing and now carry a disproportionate share of the stand’s wood.

That demographic shift is the quiet alarm buried in the data. Dense stands of many small stems have given way to forests dominated by fewer, larger trees, a pattern the authors attribute to selective removal of small and medium individuals and chronic suppression of regeneration under sustained disturbance and grazing. If younger cohorts continue to be depleted, the large residual trees that currently prop up the forest’s basal area, biomass and carbon stocks will eventually age out without replacement, opening canopy gaps, reducing productivity and undermining the ecosystem’s resilience. The structural stability visible today may simply be a lag effect, a demographic imbalance waiting to surface.

The biomass numbers themselves reveal the study’s central paradox. Total biomass across the complex rose from 116.25 to 120.18 megagrams per hectare, a net landscape-level gain of only 3.2 percent that was not statistically significant. But that modest average is the arithmetic of two diverging worlds. At relatively protected Site 1, biomass surged 81 percent, from 28.71 to 151.63 megagrams per hectare, and Site 2 gained 42 percent. At heavily disturbed Site 3, biomass collapsed by half, from 100.87 to 49.57 megagrams per hectare, and Site 6 lost 52 percent, falling from 169.22 to 80.71 megagrams per hectare. Site 4 remained essentially flat. The forest complex is not one carbon store but a patchwork of sinks and sources, and the average erases the difference.

The driver of that divergence is disturbance intensity. Sites 3 and 6 face severe ongoing pressure from logging, lopping, fuelwood extraction, recurrent fire and livestock grazing, with commercially valuable species such as Anogeissus latifolia, Tectona grandis and Santalum album regularly felled illegally. The remaining sites, shielded by stricter Forest Department protection, show no comparable stress. The study’s correlation analysis reinforces the mechanism: basal area was strongly and positively related to total biomass, while stem density showed no significant relationship, confirming that large trees, not tree counts, govern carbon storage in these forests. Where mature individuals are selectively removed, the carbon goes with them.

Species-level analysis adds another layer of concern. Tectona grandis, the teak that characterizes Central Indian dry deciduous forests, contributed the largest biomass gain at 23.09 megagrams per hectare, a recovery the authors link to the gradual strengthening of protection after the extensive teak felling of the 1950s. Butea monosperma, a disturbance-tolerant, fire-resistant, light-demanding species with low palatability to livestock, added 8.23 megagrams per hectare and now dominates the most degraded sites. That dominance is not good news. It signals ecological filtering under chronic disturbance, canopy opening and the progressive loss of shade-tolerant, late-successional taxa, a trajectory toward biotic homogenization in which a handful of resilient species replace a diverse community.

Meanwhile, several ecologically important native species lost ground. Albizia lebbeck, Bridelia retusa, Diospyros melanoxylon, Elaeodendron glaucum, Lannea coromandelica and Madhuca indica all declined in biomass contribution, with losses ranging from roughly 3.8 to 7.6 megagrams per hectare. The authors caution that high biomass in stands increasingly dominated by Butea monosperma should not be mistaken for ecosystem health. Carbon stocks can be partially maintained even as species diversity, functional trait breadth and adaptive capacity erode, leaving the forest less productive, less stable and less able to sequester carbon reliably under future climatic variability.

Methodologically, the study is a model of careful, non-destructive estimation. Aboveground biomass was calculated with the Chave allometric model for tropical dry forests, incorporating field-measured diameters and species-specific wood specific gravity values drawn from an Indian inventory, while belowground biomass followed the Cairns equation for adults and IPCC conversion factors for juveniles. Carbon stocks were derived by applying the standard IPCC carbon fraction of 0.5 to combined above- and belowground biomass. Because the temporal data did not consistently meet assumptions of normality and sample sizes were constrained by the original survey design, the team used the Mann-Whitney U test for temporal comparisons and quantified effect sizes with Hedges’ g, an appropriately conservative approach they acknowledge should be corroborated by larger future samples.

The findings carry clear implications for climate policy and forest management in a country where tropical dry forests cover nearly 42 percent of the total forest area and almost 89 percent of Madhya Pradesh’s forest cover. The authors call for stricter disturbance regulation at the most degraded sites, enrichment planting and assisted regeneration of declining native species, community participation in protection, and the establishment of permanently marked monitoring plots with high-precision georeferencing, which would remove the relocation uncertainties inherent in resampling historical, unmarked quadrats. Quantitative disturbance indices combining field measurements with remote sensing would further sharpen the link between specific pressures and carbon outcomes. The broader lesson is one that resonates far beyond the Pathariya Hills: headline carbon numbers can mask ecological degradation, and protecting the large trees of today means little without safeguarding the recruits that must become tomorrow’s canopy. In the accounting of forest carbon, what survives matters even more than what is stored.

Subject of Research: Long-term changes in forest biomass and carbon stocks in a tropical dry deciduous forest in Central India

Article Title: Temporal dynamics of biomass and carbon stocks over twenty five years in the Pathariya forest complex of Central India

Article References: Pati, P. K., Rajput, N. S., Kaushik, P., Khan, M. L., & Khare, P. K. (2026). Temporal dynamics of biomass and carbon stocks over twenty five years in the Pathariya forest complex of Central India. Discover Forests, 2(1), Article 70. https://doi.org/10.1007/s44415-026-00133-5

Image Credits: AI Generated

DOI: 10.1007/s44415-026-00133-5

Keywords: forest biomass, carbon stocks, tropical dry deciduous forest, Central India, anthropogenic disturbance, tree density, basal area, forest degradation, Butea monosperma, Tectona grandis, carbon sequestration, long-term monitoring

The research, led by Binayak Poudel of the Institute of Forestry at Tribhuvan University, together with colleagues in Canada and Nepal, quantified both vegetation carbon and soil organic carbon across three dominant forest types: Shorea robusta (sal), Pinus roxburghii (chir pine), and mixed broadleaved forests. Working in two community forests in Kaski District—the 162-hectare Sityum Kasyari and Simsar Patleswara Jukepani Community Forest and the 14-hectare Banpale Community Forest—the team established nineteen nested circular plots of 500 square meters each, measuring every tree with a diameter at breast height of at least five centimeters. Soil samples were collected from four depth intervals reaching down to 80 centimeters, with five subsamples composited at each depth to smooth out local heterogeneity.

The results were striking. Shorea robusta forests emerged as the undisputed carbon champions, storing 113.5 plus or minus 7.1 megagrams of carbon per hectare in vegetation and 102.0 plus or minus 2.3 megagrams per hectare in soil—substantially more than chir pine forests, which held 96.5 and 85.5 megagrams respectively, and far ahead of mixed broadleaved forests at just 64.2 and 84.9 megagrams. Together, the sal forests banked roughly 215 megagrams of carbon per hectare across vegetation and soil combined, placing them at the upper end of the range reported for South Asian subtropical forests.

But the real analytical payoff came from teasing apart why these differences exist. The researchers evaluated fourteen predictors spanning stand structure, anthropogenic disturbance, soil properties, topography, and climate, using Pearson correlation analysis and principal component analysis to identify the dominant drivers. For tree carbon, two structural variables towered above the rest: basal area, with a correlation coefficient of 0.641, and canopy cover, at 0.635, both highly significant. Tree height and stem density, by contrast, showed only weak, non-significant positive relationships—a reminder that a forest crowded with small stems stores far less carbon than one anchored by a few massive trunks.

Equally important was what the analysis revealed about human pressure. The team constructed an Anthropogenic Disturbance Index combining stem cutting, leaf litter collection, lopping intensity, and fire influence, each weighted equally. This index correlated negatively with tree carbon at r equals minus 0.60, a statistically significant signal that where people extract biomass, carbon stocks suffer. Mixed broadleaved forests, which local communities depend on most heavily for fuelwood and cattle fodder, showed the highest disturbance levels and the lowest carbon stocks. Chir pine forests, whose needles are unsuitable for composting or fodder, experienced the least disturbance.

Soil organic carbon told a different story entirely. Here, the strongest correlate was not a property of the trees but a property of the ground itself: soil texture. Silt content correlated positively with SOC at r equals 0.587, while sand content showed a significant negative correlation at r equals minus 0.581. This pattern reflects a well-established mechanism in soil science—fine mineral particles form stable organo-mineral complexes that physically shield organic matter from microbial decomposition, whereas sandy soils, with poor aggregate structure and low water retention, accelerate mineralization. Canopy cover was the only structural variable significantly associated with soil carbon, at r equals 0.560, suggesting that dense canopies moderate soil temperature and moisture in ways that favor organic matter accumulation.

Principal component analysis confirmed this division of labor. For tree carbon, the first two principal components explained 53.2 percent of total variance, with carbon clustering alongside basal area, canopy cover, and stem density. For soil carbon, the first two components accounted for 52.8 percent of variation, dominated by textural and site variables. Permutational multivariate analysis of variance showed that forest type explained 45 to 46 percent of the variation in both pools—statistically significant for each. Intriguingly, elevation correlated negatively with soil carbon while aspect correlated positively with tree carbon, and mean annual temperature showed a positive relationship with SOC that the authors attribute to the co-distribution of warmer, more productive lower-elevation sal forests rather than a direct climatic effect.

The comparison with earlier Nepalese and Himalayan studies adds valuable context. Previous work in Makawanpur district reported sal forest biomass as high as 313.69 megagrams per hectare in well-managed community forests, while degraded stands in Dang district stored barely 99 megagrams. Protected-area studies in Shuklaphanta National Park found core-zone carbon stocks of 258.56 megagrams per hectare versus 193.3 in buffer zones—a protected-area effect that mirrors the disturbance gradient documented in the new study. The authors also note that Nepal’s total forest topsoil SOC has been estimated at 494 million tons, a figure that local-scale studies like this one help refine for national inventories.

The study is candid about its limitations. Nineteen plots distributed unevenly across three forest types constrain statistical power, and the geographic scope of two community forests in a single district limits extrapolation. The analysis relies on correlation and PCA, which identify associations without establishing causality, and the disturbance index applies equal weights to pressures that likely differ in carbon impact. Climate data at 1-kilometer resolution from WorldClim varied too little across plots to serve as strong predictors, and the fieldwork captured only a single post-monsoon season. The authors recommend denser plot networks, structural equation modeling, soil carbon fractionation, and longer observation windows in future work.

Yet the management implications are clear and actionable. Because basal area, canopy cover, and disturbance intensity are readily measurable in routine forest inventories, they can be embedded directly into community forest operational plans and carbon monitoring frameworks. Protecting large-diameter trees, maintaining canopy closure, and strictly regulating cutting, lopping, litter removal, and fire emerge as the highest-leverage interventions for maximizing ecosystem carbon. For Nepal’s REDD+ program and national carbon accounting, the message is that structural integrity—rather than forest type alone—should anchor carbon-oriented planning in the country’s community forests, which cover nearly 45 percent of the national land area and represent one of the developing world’s most celebrated conservation success stories.

Subject of Research: Carbon storage drivers in Nepalese mid-hill community forests

Article Title: Stand structure drives vegetation carbon storage while soil texture regulates soil organic carbon in Nepalese mid-hill community forests

Article References: Poudel, B., Bhattarai, S., Koirala, S., Chapagain, J., & Timilsina, S. (2026). Stand structure drives vegetation carbon storage while soil texture regulates soil organic carbon in Nepalese mid-hill community forests. Discover Forests, 2(1), Article 69. https://doi.org/10.1007/s44415-026-00130-8

Image Credits: AI Generated

DOI: 10.1007/s44415-026-00130-8

Keywords: forest carbon, soil organic carbon, stand structure, basal area, canopy cover, Shorea robusta, anthropogenic disturbance, soil texture, community forestry, Nepal, REDD+, carbon stocks