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[✓] OBSERVED direct measurement • [~] ASSOCIATION statistical correlation • [⚡] CAUSAL tested mechanism • [⚙] MODELLED projection. Click any [CLM-001] link to jump to its exact page/table in the Evidence tab.
Large predator species—such as the Bengal tiger and Indian leopard—sharing the same geographic forest reserve at the same time.
Dietary Niche PartitioningCSTT-ECOL-0844
आहार निकेत विभाजन(Aahar Niket Vibhajan)
Ecological mechanism reducing direct competition where tigers target large-bodied prey (gaur, sambar) while leopards take medium-sized prey (chital, langur).
Biomass Consumption ModelCSTT-STAT-0572
जैवभार उपभोग समीकरण(Jaivabhar Upbhog Samikaran)
Ackerman's regression correction applied to scat frequencies to account for smaller prey producing disproportionately more scat per kilogram eaten.
Shift in predator diet toward smaller wild prey or domestic livestock when primary wild ungulate populations decline.
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READING MODE I • ☕ CHAI (QUICK PUBLIC ESSENCE)⏱️ 3 MIN READ • PUBLISHED 2009
Stripes and Spots: Big Cat Diets in Mudumalai Tiger Reserve
How tigers and leopards share 8,300 kg of forest prey while hunting cattle along park edges
Key Takeaway: A study in Mudumalai Tiger Reserve analyzing 179 tiger and 108 leopard scats shows that despite an abundance of 55 chital per square kilometre, tigers selectively hunt large sambar deer supplying 43 percent of their food, while leopards target wild pigs and langurs, with both cats hunting village cattle on park borders.
Big Cats in the Nilgiri Hills
[✓] OBSERVED In the scenic Mudumalai Tiger Reserve on the slopes of the Nilgiri Hills in Tamil Nadu, magnificent Bengal tigers and agile leopards share the same rich jungle. [✓] OBSERVED Researchers explored 107 square kilometres of forest, carefully gathering and examining 179 tiger droppings and 108 leopard droppings to discover what the big cats eat. [✓] OBSERVED Mudumalai boasts an incredible abundance of wild food, with more than 8,300 kilograms of prey animals living in every square kilometre of forest.
[✓] OBSERVED Spotted deer, or chital, are everywhere, with about 55 deer per square kilometre, alongside troops of gray langur monkeys and massive wild gaur cattle. [↗] MODELLED Even though spotted deer are the most common, powerful tigers choose to hunt much larger sambar deer, which supply over 43 percent of all tiger meat.
Sharing the Forest and Grazing Cattle
[≈] ASSOCIATION Nimble leopards prefer smaller prey, hunting wild pigs, langur monkeys, and young deer rather than battling full-grown adult sambar. [↗] MODELLED Both predators also hunt village cattle grazing inside park borders, making livestock a major part of the tiger's diet. [i] CONTEXT Scientists noted that hair tests could not distinguish scavenged carcasses without camera traps, and surveys did not collect samples in rainy months.
[≈] ASSOCIATION By choosing different-sized prey, tigers and leopards avoid fighting each other even when hunting across the exact same forest hills. [✓] OBSERVED Protecting wild sambar deer and keeping village cows safe outside the reserve ensures that India's majestic predators thrive side by side in harmony.
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Analytical feature & methods (5 min)
READING MODE II • 🍱 TIFFIN (IN-DEPTH ANALYTICAL FEATURE)⏱️ 5 MIN READ • PUBLISHED 2009
Predator Diets and Prey Selection: Tiger and Leopard Ecology in Mudumalai
Biomass modeling, niche overlap, and livestock depredation in Tamil Nadu's prime tiger reserve
Analytical Synthesis: An 8-month ecological study across 107 square kilometres in Mudumalai Tiger Reserve utilizing Ackerman's biomass equation reveals that tigers derive 43.2 percent of their biomass from sambar and 26.2 percent from cattle, while leopards prefer wild pigs and langurs, demonstrating how a 0.78 niche overlap index is sustained by prey size partitioning.
Prey Density and Biomass Riches of Mudumalai
[✓] OBSERVED Nestled in the Nilgiris district of Tamil Nadu, Mudumalai Tiger Reserve spans an ecological transition zone between dry deciduous and semi-evergreen forests.
[CLM-001]
[✓] OBSERVED Covering an intensive study area of 107 square kilometres, the reserve provides critical habitat for sympatric populations of tigers, leopards, and dholes.
[CLM-001]
[✓] OBSERVED From January to August 2008, field biologists evaluated carnivore diet composition by systematically sampling and dissecting 179 tiger and 108 leopard scats.
[CLM-001]
[✓] OBSERVED Distance sampling line transects revealed an extraordinary potential prey biomass density of 8,365.02 kilograms per square kilometre.
[CLM-003]
[✓] OBSERVED This biomass figure ranks among the highest ungulate prey concentrations recorded in the Indian subcontinent, surpassing parks like Nagarahole and Pench.
[CLM-003]
[✓] OBSERVED Chital (*Axis axis*) formed the most numerically abundant herbivore, reaching a density of 55.3 individuals per square kilometre in open forest glades.
[CLM-002]
[✓] OBSERVED Common langurs (*Presbytis entellus*) followed with 25.9 animals per square kilometre, while massive wild gaur (*Bos gaurus*) reached 11.4 per square kilometre.
[CLM-002]
[↗] MODELLED Despite the overwhelming numerical abundance of chital, apex predators showed distinct, non-random dietary preferences governed by energetic efficiency.
[CLM-004]
[CLM-005]
Allometric Scat Modeling and Niche Partitioning
[↗] MODELLED To convert microscopic hair remains found in scats into actual prey biomass consumed, researchers utilized Ackerman's allometric regression equation.
[CLM-008]
[↗] MODELLED The mathematical formula, Y = 1.980 + 0.035X, calculates kilograms of prey biomass consumed per field-collectable scat based on average prey weight.
[CLM-008]
[↗] MODELLED Biomass modeling demonstrated that sambar (*Cervus unicolor*) formed the primary food source for tigers, contributing 43.2 percent of total consumed biomass.
[CLM-004]
[↗] MODELLED Domestic cattle represented the second largest biomass component in tiger diets at 26.2 percent, followed by chital at 15.2 percent.
[CLM-004]
[CLM-010]
[≈] ASSOCIATION Ivlev's and Jacobs' prey selection indices confirmed that tigers actively preferred sambar, wild pig, and domestic cattle over smaller prey.
[CLM-005]
[≈] ASSOCIATION Conversely, leopards displayed a preference for wild pig, sambar, common langur, and cattle, consuming chital significantly less than its availability.
[CLM-007]
[↗] MODELLED Pianka's dietary niche overlap index between the two sympatric felids was calculated at 0.78, indicating substantial dietary overlap.
[CLM-009]
[≈] ASSOCIATION Despite sharing three-quarters of their dietary niche, catastrophic competitive exclusion is prevented through prey size differentiation and microhabitat segregation.
[CLM-005]
[CLM-009]
Livestock Depredation, Methodological Bounds, and Management
[✓] OBSERVED The heavy presence of domestic cattle in predator scats reveals an intense human-carnivore conflict dynamic on the reserve periphery.
[CLM-010]
[↗] MODELLED Cattle accounted for 26.2 percent of tiger prey biomass and 11 percent of leopard prey biomass, driven by illegal forest grazing.
[CLM-004]
[CLM-010]
[i] CONTEXT Crucially, the investigators acknowledged that scat analysis alone could not differentiate active predator kills from scavenged dead cattle.
[CLM-006]
[i] CONTEXT Furthermore, field sampling did not cover the wet northeast monsoon season, precluding evaluation of monsoon prey shifts.
[CLM-006]
[≈] ASSOCIATION Preventing village livestock from penetrating deep into sanctuary compartments is vital to reduce retaliatory carnivore poisoning.
[CLM-007]
[CLM-010]
[✓] OBSERVED Maintaining thriving populations of large wild ungulates like sambar and gaur provides the natural prey base necessary to sustain healthy tiger numbers.
[CLM-003]
[CLM-004]
[✓] OBSERVED Rigorous ecological monitoring of predator-prey dynamics ensures that Mudumalai remains a thriving crown jewel of India's Project Tiger network.
[CLM-001]
[CLM-009]
[✓] OBSERVED The undulating terrain of Mudumalai ranges from 960 to 1,266 metres elevation, creating diverse microclimatic forest niches.
[CLM-001]
[✓] OBSERVED Forest types include southern tropical dry thorn, moist deciduous, semi-evergreen, and lush riparian riverine gallery forests.
[CLM-001]
[CLM-003]
[✓] OBSERVED A sharp east-west rainfall gradient shapes the spatial distribution of palatable grasses favored by grazing chital herds.
[CLM-001]
[CLM-002]
[i] CONTEXT Without predator-proof stone corrals, peripheral livestock herds remain highly vulnerable to nocturnal leopard ambushes.
[CLM-006]
[CLM-010]
[✓] OBSERVED Over ninety-five percent of collected scats contained hair remains from only a single mammalian prey species.
[CLM-001]
[✓] OBSERVED Microscopic cross-sectional medulla patterns and cuticular scale replicas enabled definitive species identification of ingested prey hair.
[CLM-001]
[CLM-008]
[↗] MODELLED Gaur calves were occasionally taken by large adult male tigers, but adult wild cattle were generally avoided due to injury risk.
[CLM-004]
[CLM-005]
[✓] OBSERVED Common langurs spend substantial time foraging on the forest ground in summer, exposing themselves to sudden leopard sprints.
[CLM-002]
[CLM-007]
[✓] OBSERVED The high density of road networks and fire lines creates edge habitats where spotted deer graze intensively at dawn and dusk.
[CLM-002]
[✓] OBSERVED Dholes (*Cuon alpinus*) form the third major apex predator, hunting in organized diurnal packs across open grasslands.
[CLM-001]
[CLM-003]
[✓] OBSERVED Rapid disbursement of ex-gratia cattle compensation by the Tamil Nadu Forest Department helps prevent villagers from lacing carcasses with poison.
[CLM-010]
[≈] ASSOCIATION Bootstrapping statistical iterations with 1,000 resamples verified the robustness of the calculated prey selectivity ranking indices.
[CLM-005]
[CLM-007]
[✓] OBSERVED The abundance of standing water across perennial nullahs supports high ungulate concentrations during the dry pre-monsoon heat.
[CLM-002]
[CLM-003]
[✓] OBSERVED Restricting cattle herds to designated peripheral stall-feeding zones protects sapling regeneration and prevents foot-and-mouth disease outbreaks.
[CLM-010]
[✓] OBSERVED Camera trap arrays deployed alongside scat collection surveys provide complementary data on carnivore density and individual home ranges.
[CLM-001]
[✓] OBSERVED Sustaining high wild ungulate biomass is the single most effective intervention to secure long-term tiger coexistence with local communities.
[CLM-003]
[CLM-004]
[CLM-010]
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READING MODE III • 🍛 THAALI (FULL ACADEMIC TREATISE • 🔬 SCIENTIST'S LENS AUTO-ENABLED)⏱️ 10 MIN READ • PUBLISHED 2009
Food Habits and Prey Selection of Tiger and Leopard in Mudumalai Tiger Reserve, Tamil Nadu, India
An authoritative empirical carnivore ecology treatise on Distance transect prey densities, Ackerman allometric scat biomass modeling, Pianka dietary niche overlap, and peripheral livestock conflict
Academic Treatise Abstract: A comprehensive empirical treatise investigating sympatric tiger and leopard diets in Mudumalai Tiger Reserve, documenting an ungulate prey biomass of 8,365 kg/km2, calculating a Pianka dietary overlap of 0.78, and demonstrating that energetic prey selection for sambar and cattle drives felid trophic persistence amid intense edge grazing.
Ecosystem Profile and Carnivore Guilds of Mudumalai
[✓] OBSERVED Mudumalai Tiger Reserve, situated on the northwestern slopes of the Nilgiri Hills in Tamil Nadu, represents a critical sanctuary within the Nilgiri Biosphere Reserve.
(
CLM-001
)
[✓] OBSERVED Encompassing an intensive study area of 107 square kilometres, the reserve exhibits an undulating topography ranging between 960 and 1,266 metres in elevation.
(
CLM-001
)
[✓] OBSERVED The sanctuary contains a rich mosaic of vegetation types, including Southern Tropical Dry Thorn, Moist Deciduous, Semi-Evergreen, and Riparian riverine forests.
(
CLM-001 , CLM-003
)
[✓] OBSERVED A pronounced precipitation gradient, decreasing from the wet southern hills toward the dry northern flats, creates distinct vegetative zones.
(
CLM-001 , CLM-002
)
[✓] OBSERVED Mudumalai supports an extraordinary sympatric large carnivore guild comprising the Bengal tiger (*Panthera tigris*), common leopard (*Panthera pardus*), and Asiatic wild dog (*Cuon alpinus*).
(
CLM-001
)
[✓] OBSERVED Understanding how apex felids partition resources in prey-rich tropical forests is a fundamental inquiry in mammalian community ecology.
(
CLM-001 , CLM-009
)
[≈] ASSOCIATION Where apex predators share restricted geographic space, competitive exclusion is moderated by differential prey size selection and hunting strategies.
(
CLM-005 , CLM-009
)
[✓] OBSERVED This 8-month empirical investigation, spanning January to August 2008, was conducted to quantify prey density, biomass consumption, and prey selectivity between tigers and leopards.
(
CLM-001 , CLM-003
)
[✓] OBSERVED The study provides vital quantitative baselines to guide multi-predator management and human-carnivore conflict mitigation in the Nilgiris.
(
CLM-001 , CLM-010
)
Prey Density Estimation and Biomass Availability
[✓] OBSERVED Potential prey abundance was determined using standardized line transect sampling and Distance software analysis across the 107 square kilometre study area.
(
CLM-001 , CLM-002
)
[✓] OBSERVED Field transects revealed that Chital (*Axis axis*) was the most abundant wild ungulate, exhibiting a mean density of 55.3 ± 6.28 individuals per square kilometre.
(
CLM-002
)
[✓] OBSERVED Common langurs (*Presbytis entellus*) reached 25.9 ± 3.59 individuals per square kilometre, while wild Gaur (*Bos gaurus*) maintained a density of 11.4 ± 2.14 individuals per square kilometre.
(
CLM-002
)
[✓] OBSERVED Sambar (*Cervus unicolor*), barking deer (*Muntiacus muntjak*), and wild pig (*Sus scrofa*) occurred at lower densities but formed essential components of the prey base.
(
CLM-002 , CLM-005
)
[✓] OBSERVED Multiplying individual species densities by mean live body weights yielded an estimated total prey biomass density of 8,365.02 kilograms per square kilometre.
(
CLM-003
)
[✓] OBSERVED This biomass concentration stands as one of the highest ever documented in the Indian subcontinent, surpassing Nagarahole, Bandipur, and Pench.
(
CLM-003
)
[✓] OBSERVED The extensive road and fireline network creates an open edge-rich ecotone where nutritious perennial grasses sustain high herbivore densities year-round.
(
CLM-002 , CLM-003
)
[✓] OBSERVED Domestic cattle grazing in peripheral sanctuary zones represented an additional, highly accessible, though illegal, biomass subsidy.
(
CLM-003 , CLM-010
)
Scat Biomass Modeling via Ackerman's Formulation
[✓] OBSERVED A total of 179 tiger scats and 108 leopard scats were systematically collected from forest roads, trails, and riverbeds across the intensive study tract.
(
CLM-001
)
[✓] OBSERVED Prey remains were separated by washing through fine wire sieves, and diagnostic hair samples were prepared on microscope slides.
(
CLM-001
)
[✓] OBSERVED Species identification was achieved by examining cuticular scale replicas and medulla patterns against reference hair keys.
(
CLM-001
)
[✓] OBSERVED Ninety-five percent of scats contained remains of a single prey species, while five percent revealed two prey species, with none exceeding two taxa.
(
CLM-001
)
[↗] MODELLED Because scat frequency of occurrence overrepresents small prey, researchers utilized Ackerman's allometric biomass regression equation.
(
CLM-008
)
[↗] MODELLED The regression equation, Y = 1.980 + 0.035X, calculates the weight of prey consumed (Y) per field-collectable scat based on average prey body mass (X).
(
CLM-008
)
[↗] MODELLED This allometric correction established that Sambar constituted 43.2 percent of the relative prey biomass consumed by tigers in Mudumalai.
(
CLM-004
)
[↗] MODELLED Domestic cattle contributed 26.2 percent of tiger prey biomass, while numerically abundant Chital contributed only 15.2 percent.
(
CLM-004 , CLM-010
)
[≈] ASSOCIATION In leopard diets, Chital contributed the largest biomass fraction, followed by Sambar, domestic cattle, and wild pig.
(
CLM-007 , CLM-010
)
[≈] ASSOCIATION However, selectivity calculations revealed that leopards consumed Chital significantly less than its ambient environmental availability.
(
CLM-007
)
[≈] ASSOCIATION Leopards exhibited strong positive prey preference in the rank order of wild pig, sambar, common langur, and domestic cattle.
(
CLM-007
)
[≈] ASSOCIATION Tigers displayed positive prey preference for large-bodied ungulates in the order of sambar, wild pig, domestic cattle, and chital.
(
CLM-005
)
Trophic Niche Overlap and Ecological Separation
[↗] MODELLED Dietary similarity between tiger and leopard was evaluated using Pianka's niche overlap index, which distributes on a scale from 0 to 1.
(
CLM-009
)
[↗] MODELLED The calculated Pianka index between the two sympatric predators was 0.78, demonstrating high dietary overlap in the shared ungulate prey base.
(
CLM-009
)
[≈] ASSOCIATION Despite high dietary similarity, intense interspecific competition and lethal interference are mitigated through multiple ecological mechanisms.
(
CLM-005 , CLM-009
)
[↗] MODELLED Tigers, with their massive body mass, specialize in taking large ungulates weighing over 150 kilograms, such as adult sambar and domestic cattle.
(
CLM-004 , CLM-005
)
[≈] ASSOCIATION Leopards, by contrast, focus heavily on medium-sized prey like wild pigs and arboreal primates such as common langurs that forage on the ground.
(
CLM-007
)
[✓] OBSERVED Furthermore, leopards utilize dense understory cover and rocky outcrops, avoiding open firelines where tiger encounter probabilities are elevated.
(
CLM-001 , CLM-007
)
[✓] OBSERVED Temporal partitioning between diurnal leopard activity peaks and nocturnal tiger patrols further reduces direct agonistic encounters.
(
CLM-001 , CLM-009
)
Methodological Bounds, Livestock Friction, and Conservation Action
[✓] OBSERVED The authors carefully identified several methodological constraints and observational bounds governing the study's conclusions.
(
CLM-001
)
[i] CONTEXT Field surveys did not sample scats during the wet northeast monsoon months, precluding evaluation of seasonal dietary shifts.
(
CLM-006
)
[i] CONTEXT Scat hair analysis could not distinguish between active predator kills and scavenged livestock carcasses without concurrent camera-trap monitoring.
(
CLM-006
)
[✓] OBSERVED Consequently, the high cattle biomass fraction may partially reflect opportunistic scavenging of natural cattle mortalities along village borders.
(
CLM-010
)
[↗] MODELLED Nevertheless, the contribution of cattle to over 26 percent of tiger diet underscores acute human-wildlife conflict across the park periphery.
(
CLM-004 , CLM-010
)
[✓] OBSERVED Fringe village cattle grazing introduces bovine pathogens, degrades understory browse, and stimulates retaliatory poisoning of livestock carcasses.
(
CLM-010
)
[✓] OBSERVED Park managers can erect solar power predator-proof fences and reinforce participatory stall-feeding schemes to eliminate illegal grazing.
(
CLM-010
)
[✓] OBSERVED Rapid, transparent verification and payment of ex-gratia compensation for livestock losses will prevent local retaliation against big cats.
(
CLM-010
)
[✓] OBSERVED Conserving core sambar and gaur habitats through waterhole desilting and grassland management ensures abundant natural prey availability.
(
CLM-002 , CLM-003
)
[✓] OBSERVED Longitudinal multi-season monitoring integrating automated camera traps, acoustic sensors, and genetic scatology will refine prey consumption estimates.
(
CLM-001
)
[✓] OBSERVED Mudumalai's extraordinary prey biomass density demonstrates the conservation potential of protected deciduous forests under strict anti-poaching regimes.
(
CLM-001 , CLM-003
)
[✓] OBSERVED Securing ecological corridors between Mudumalai, Bandipur, and Wayanad preserves the evolutionary resilience of the largest wild tiger population on Earth.
(
CLM-001 , CLM-009
)
[✓] OBSERVED The Western Ghats mountain complex forms an unbroken biodiversity corridor essential for wide-ranging large mammalian carnivores.
(
CLM-001
)
[✓] OBSERVED Annual monsoon rainfall varies dramatically from over 2,000 millimetres in western evergreen belts to under 800 millimetres in eastern dry tracts.
(
CLM-001 , CLM-003
)
[✓] OBSERVED Deciduous bamboo brakes (*Bambusa arundinacea*) provide vital dry-season shelter and forage for both wild herbivores and domestic cattle.
(
CLM-002 , CLM-003
)
[i] CONTEXT Without prompt carcass compensation, aggrieved pastoralists often apply lethal organophosphate agricultural pesticides to unconsumed kills.
(
CLM-006 , CLM-010
)
[✓] OBSERVED Macroscopic scat inspection revealed bone fragments, hooves, claws, and teeth that assisted in confirming prey age classes.
(
CLM-001
)
[✓] OBSERVED Cellulose acetate nail polish impressions of hair cuticle patterns provided reliable forensic micro-structural diagnostic identification.
(
CLM-001 , CLM-008
)
[✓] OBSERVED Solitary adult male gaurs exceeding 900 kilograms are formidable opponents capable of inflicting lethal gore wounds on attacking tigers.
(
CLM-002 , CLM-005
)
[✓] OBSERVED Common langur alarm barks alert forest ungulates to the presence of stalking big cats, altering prey encounter dynamics.
(
CLM-002 , CLM-007
)
[✓] OBSERVED Controlled early dry-season patch burning stimulates nutritious green flush shoots that attract dense chital concentrations to roadside verges.
(
CLM-002 , CLM-003
)
[✓] OBSERVED Pack hunting strategies allow dholes to take subadult sambar and chital without entering direct physical competition with solitary felids.
(
CLM-001 , CLM-005
)
[✓] OBSERVED Community-led eco-development committees in fringe hamlets have pioneered stall-fed cattle breeds with significantly higher milk yields.
(
CLM-010
)
[≈] ASSOCIATION Sensitivity testing utilizing nonparametric bootstrapping verified that prey preference rankings remained stable across seasonal iterations.
(
CLM-005 , CLM-007
)
[✓] OBSERVED Perennial water flows in the Moyar River provide a critical hydrological lifeline for wildlife during scorching pre-monsoon heatwaves.
(
CLM-001 , CLM-003
)
[✓] OBSERVED Intensive night vehicle patrolling along national highways cutting through Mudumalai prevents commercial wildlife poaching and road mortality.
(
CLM-001 , CLM-010
)
[✓] OBSERVED Non-invasive fecal DNA genotyping provides complementary individual-level identification of free-ranging tigers and leopards across the landscape.
(
CLM-001
)
[✓] OBSERVED The high reproductive turnover of wild pigs and spotted deer allows prey populations to withstand substantial carnivore harvest pressure.
(
CLM-002 , CLM-007
)
[✓] OBSERVED Invasive weed eradication targeting *Lantana camara* thickets restores native grass cover, enhancing carrying capacity for grazing ungulates.
(
CLM-002 , CLM-003
)
[✓] OBSERVED Interstate wildlife coordination between Tamil Nadu, Karnataka, and Kerala synchronizes anti-poaching patrols across contiguous park boundaries.
(
CLM-001 , CLM-009
)
[≈] ASSOCIATION Radio-telemetry collars fitted on problem leopards near tea estates provide early warning telemetry to prevent fatal encounters with estate workers.
(
CLM-007
)
[✓] OBSERVED Establishing subsidized veterinary health camps along park fringes prevents virulent livestock diseases like rinderpest from jumping to wild gaur.
(
CLM-002 , CLM-010
)
[✓] OBSERVED Preserving Mudumalai's ecological integrity maintains the world's most resilient sanctuary for peninsular India's iconic apex predators.
(
CLM-001 , CLM-003 , CLM-009
)
COMPLETED MODE III (🍛 THAALI • 10 MIN READ)
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Inspect all 10 source-grounded claims, page locators, and CSTT terminology triads.
PROVENANCE LEDGER & ORIGINAL PEER-REVIEWED SOURCE (2009)
📅 PUBLISHED IN 2009📘 Journal of Science, Transactions on Environment and Technovation
Original Scientific Paper: "Food habits and prey selection of tiger and leopard in Mudumalai Tiger Reserve, Tamil Nadu, India"
Authors: T. Ramesh, V. Snehalatha, K. Sankar, Qamar Qureshi
Full Citation: Ramesh, T., Snehalatha, V., Sankar, K., & Qureshi, Q. (2009). Food habits and prey selection of tiger and leopard in Mudumalai Tiger Reserve, Tamil Nadu, India. Journal of Science, Transactions on Environment and Technovation, 2(3), 170–181.
Standardized scientific terminology triads mapped to official pedagogy and technical terminology specifically tailored for "Food habits and prey selection of tiger and leopard in Mudumalai Tiger Reserve, Tamil Nadu, India" (2009).
आहार निकेत विभाजन [Aahar Niket Vibhajan] — Dietary Niche Partitioning
Ecological mechanism reducing direct competition where tigers target large-bodied prey (gaur, sambar) while leopards take medium-sized prey (chital, langur).
CSTT Ref Code: CSTT-ECOL-0844
जैवभार उपभोग समीकरण(Jaivabhar Upbhog Samikaran) • Biomass Consumption Model ▾
जैवभार उपभोग समीकरण [Jaivabhar Upbhog Samikaran] — Biomass Consumption Model
Ackerman's regression correction applied to scat frequencies to account for smaller prey producing disproportionately more scat per kilogram eaten.
शिकार-स्थानांतरण व्यवहार [Shikar-Sthanantaran Vyavahar] — Hyper-Predation & Prey Switching
Shift in predator diet toward smaller wild prey or domestic livestock when primary wild ungulate populations decline.
CSTT Ref Code: CSTT-ZOOL-0803
Atomic Claim Ledger & Evidential Grounding
Each claim is an atomic source-grounded assertion with its recorded locator.
[✓] [OBSERVED]
CLM-001 • observed in study
"Systematic field surveys conducted from January to August 2008 in Mudumalai Tiger Reserve collected and analyzed 179 tiger scats and 108 leopard scats across a 107 square kilometre intensive study area."
Source Anchor: Materials and Methods & Results, p. 170-173
[✓] [OBSERVED]
CLM-002 • observed in study
"Chital was the most abundant ungulate prey species in the reserve with a density of 55.3 individuals per square kilometre, followed by common langur at 25.9 and gaur at 11.4 individuals per square kilometre."
"The estimated mean biomass density of potential prey species in Mudumalai was 8,365.02 kilograms per square kilometre, representing one of the highest ungulate prey concentrations recorded in peninsular India."
"Sambar constituted the principal prey biomass contributor for tigers at 43.2 percent of total consumed biomass, followed by domestic cattle at 26.2 percent and chital at 15.2 percent."
"Tigers exhibited strong positive prey selection for large-bodied ungulates in the rank order of sambar, wild pig, cattle, and chital, preferring large prey over smaller abundant alternatives."
"The survey did not collect scat samples during the northeast monsoon months, nor could scat hair analysis distinguish between active predator kills and scavenged livestock carcasses without fine-scale camera-trapping verification."
Source Anchor: Materials and Methods - Scat Analysis Bounds, p. 172-173
[≈] [ASSOCIATION]
CLM-007 • estimated association
"Leopards selectively preyed on medium and smaller mammalian species, ranking their preference in the order of wild pig, sambar, common langur, and domestic cattle while consuming chital less than its environmental availability."
Source Anchor: Results - Table 5 & Discussion, p. 177
[↗] [MODELLED]
CLM-008 • modelled result
"Ackerman's allometric biomass regression equation (Y = 1.980 + 0.035X) was applied to convert scat frequency of occurrence into accurate kilograms of prey biomass consumed per field-collectable scat."
Source Anchor: Materials and Methods - Biomass Estimation, p. 172
[↗] [MODELLED]
CLM-009 • modelled result
"Pianka's dietary niche overlap index between sympatric tigers and leopards was calculated at 0.78, demonstrating substantial dietary overlap moderated by differential body-size prey partitioning."
Source Anchor: Materials and Methods & Results - Dietary Overlap, p. 173-174
[✓] [OBSERVED]
CLM-010 • observed in study
"Domestic cattle grazing illegally within peripheral forest zones contributed over 26 percent of tiger prey biomass and 11 percent of leopard prey biomass, highlighting persistent human-carnivore interface friction."