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English हिन्दी বাংলা मराठी తెలుగు தமிழ் ગુજરાતી اردو ಕನ್ನಡ ଓଡ଼ିଆ മലയാളം ਪੰਜਾਬੀ অসমীয়া मैथिली ᱥᱟᱱᱛᱟᱲᱤ کٲشُر नेपाली سنڌي कोंकणी डोगरी মৈতৈলোন্ बर’ संस्कृतम्
📅 PUBLISHED IN 2009 Foundational Baseline & Context Study 📍 Multi-State Landscape (3 States/UTs)
Mudumalai Tiger Reserve, Nilgiri Biosphere • Tamil Nadu, Karnataka, Kerala • Western Ghats — Nilgiri Deciduous & Semi-Evergreen Forest
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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.

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📘 STUDY GLOSSARY (5 KEY TERMS) Paper-Specific Scientific Terminology Aids for This Study
Click to expand key concepts & CSTT triads ▾
Sympatric Apex Carnivores CSTT-ECOL-0921-SAT
ᱥᱤᱯᱷᱴᱨᱤᱠ ᱮᱯᱮᱠᱥ ᱠᱟᱨᱱᱤᱵᱚᱨ (Sah-Aavasiya Shirsh Mansahari)

ᱢᱟᱨᱟᱝ ᱡᱟᱹᱛᱤ ᱠᱚ ᱠᱟ ᱵᱚᱝᱜᱚᱞ ᱛᱤᱜᱚᱨ ᱟᱨ ᱥᱤᱧᱚᱛᱤᱭᱟᱹ ᱞᱟᱭᱯᱟᱨᱰ ᱢᱤᱫ ᱚᱠᱛᱚ ᱨᱮ ᱮᱴᱟᱜ ᱴᱚᱴᱷᱟ ᱨᱮᱱᱟᱜ ᱪᱟᱥᱵᱟᱥᱤ ᱨᱤᱡᱮᱨᱟᱣ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱᱟ ᱾

Dietary Niche Partitioning CSTT-ECOL-0844-SAT
ᱰᱤᱴᱮᱨᱤ ᱡᱤᱞᱟᱹ ᱨᱮᱱᱟᱜ ᱯᱟᱨᱴᱤᱝ (Aahar Niket Vibhajan)

ᱡᱟᱦᱟᱸ ᱨᱮ ᱛᱤᱜᱩ ᱠᱚ ᱢᱟᱨᱟᱝ-ᱥᱟᱹᱨᱫᱤ ᱪᱟᱥᱤ (ᱜᱟᱩᱨ, ᱥᱟᱢᱵᱟᱨ) ᱟᱨ ᱞᱳᱯᱚᱨᱰ ᱠᱚ ᱮᱱᱮᱡ ᱟᱠᱟᱱ ᱛᱟᱞᱢᱟ ᱞᱮᱠᱷᱟ ᱨᱮᱱᱟᱜ ᱪᱟᱥ (ᱪᱦᱤᱛᱟᱞ, ᱞᱟᱱᱜᱩᱨ) ᱵᱟᱭ ᱦᱟᱹᱴᱤᱧ ᱠᱮᱫᱼᱟ ᱾

Biomass Consumption Model CSTT-STAT-0572-SAT
ᱵᱤᱳᱢᱮᱥᱟ ᱵᱮᱵᱷᱟᱨ ᱢᱚᱰᱮᱞ (Jaivabhar Upbhog Samikaran)

ᱮᱠᱚᱨᱢᱟᱱ ᱨᱮᱱᱟᱜ ᱨᱤᱜᱨᱮᱥᱚᱱ ᱠᱳᱨᱤᱠᱮᱴ ᱫᱚ ᱡᱚᱢ ᱟᱠᱟᱱ ᱠᱤᱞᱚ ᱜᱽᱨᱤᱰᱷᱤ ᱨᱮᱱ ᱠᱚᱲᱟ ᱵᱟᱹᱭᱥᱤ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨᱚᱜᱼᱟ ᱾

Pianka's Niche Overlap Index CSTT-STAT-0589-SAT
ᱯᱤᱭᱟᱱᱠᱟ ᱨᱮᱱᱟᱜ ᱡᱤᱞᱤᱧ ᱪᱮᱛᱟᱱ ᱥᱩᱯᱨᱚᱥᱚᱱ (Pianka Niche Overlap Soochkank)

ᱢᱤᱫ ᱞᱮᱠᱟᱱ ᱪᱮᱛᱟᱱ (ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱟᱝ ᱡᱚᱢᱟᱜ) ᱠᱷᱚᱱ ᱑ (ᱵᱷᱟᱹᱜᱤ ᱫᱟᱠᱟ) ᱦᱟᱹᱴᱤᱧ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱣᱟ ᱪᱮ᱐ᱟᱱ ᱨᱮ ᱥᱟᱱᱟᱢ ᱥᱟᱶᱼᱥᱟᱶᱟᱨ ᱟᱭᱳᱣᱟᱜ ᱛᱟᱞᱢᱟ ᱡᱤᱞᱞᱟ. (0) (1)

Hyper-Predation & Prey Switching CSTT-ZOOL-0803-SAT
ᱦᱟᱭᱯᱚᱨ-ᱵᱷᱮᱰᱮᱥᱚᱱ ᱟᱨ ᱯᱤᱲᱟ ᱥᱩᱪᱤᱝ (Shikar-Sthanantaran Vyavahar)

ᱡᱟᱦᱟᱸ ᱚᱠᱛᱚ ᱨᱮ ᱢᱩᱬᱩᱛ ᱵᱷᱤᱵᱽᱞᱳᱜᱟ ᱠᱚᱣᱟᱜ ᱦᱚᱲ ᱮᱞ ᱠᱚ ᱦᱟᱹᱴᱤᱧᱚᱜ ᱠᱷᱟᱱ, ᱯᱟᱨᱚᱢᱤᱭᱟᱹ ᱟᱥᱟᱢ ᱨᱮᱭᱟᱜ ᱪᱮᱛᱟᱱ ᱫᱚ ᱠᱷᱟ.

CHOOSE YOUR READING DEPTH • ADVANCE AS YOU READ ☕ Chai: 3 min → 🍱 Tiffin: 5 min → 🍛 Thaali: 10 min (🔬 Lens Auto-On)
READING MODE I • ☕ CHAI (QUICK PUBLIC ESSENCE) ⏱️ 3 MIN READ • PUBLISHED 2009

ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱴᱤᱜᱽᱨᱤᱡ ᱨᱮᱰᱮᱴ ᱨᱮ ᱵᱷᱚᱜᱚ ᱠᱟᱹᱣᱰᱤ ᱡᱚᱢᱟᱜ

ᱪᱮᱫ ᱞᱮᱠᱟᱛᱮ ᱛᱤᱜᱚᱨ ᱟᱨ ᱞᱤᱭᱳᱯᱟᱨᱰ ᱫᱚ ᱯᱟᱠᱥ ᱠᱚᱨᱮ ᱠᱩᱲᱤ ᱦᱚᱭ ᱡᱚᱢᱟᱜ ᱚᱠᱚᱭᱟᱜ ᱦᱮᱡ ᱠᱟᱛᱮ ᱘᱓᱐ ᱠᱤᱞᱚ ᱜᱨᱟᱢ ᱨᱮᱱᱟᱜ ᱵᱷᱟᱹᱜᱤ ᱮᱢᱚᱜᱼᱟ (8) (300)

Key Takeaway: ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱴᱟᱭᱜᱚᱨ ᱨᱤᱡᱟᱨᱵᱷ ᱨᱮ 179 ᱜᱚᱴᱟᱝ ᱛᱤᱝ ᱟᱨ 108 ᱜᱚᱴᱟᱱ ᱞᱚᱯᱟᱨᱰ ᱥᱠᱮᱴᱥ ᱨᱮᱱᱟᱜ ᱮᱱᱮᱞᱡ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱣᱟ ᱫᱚ ᱪᱟᱹᱞᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱡᱚᱢᱟᱜ ᱔᱓% ᱛᱮᱭᱟᱨ ᱠᱟᱛᱮ ᱵᱷᱟᱨᱚᱛᱤᱭᱟ. ᱦᱤᱞᱳᱠᱟ ᱠᱷᱟᱭᱱᱟᱹᱛᱟ ᱞᱮᱠᱟᱛᱮ ᱢᱟᱨᱟᱝ ᱥᱟᱢᱵᱟᱨ ᱰᱮᱱ ᱠᱚ ᱵᱟᱧᱪᱟᱣᱮᱫᱼᱟ, ᱚᱠᱚᱭᱟᱜ ᱦᱚᱸ ᱵᱷᱟᱨᱤᱛᱤ ᱯᱩᱨᱩᱣᱟ ᱟᱨ ᱞᱮᱸᱜᱽᱲᱟ ᱠᱚ ᱩᱫᱩᱜ ᱥᱚᱫᱚᱨ ᱟᱠᱟᱱᱟ ᱾ ᱱᱚᱶᱟ ᱠᱷᱚᱱ ᱜᱮ ᱵᱟᱱᱟᱨ ᱠᱟᱹᱢᱤᱦᱤᱨ ᱠᱚ ᱫᱚ ᱟᱹᱛᱩ ᱫᱟᱲᱮ ᱨᱮᱭᱟᱜ ᱵᱮᱜᱟᱨ ᱨᱮ ᱟ. (55)

ᱱᱤᱞᱜᱤᱨᱤ ᱦᱤᱞᱥ ᱨᱮ ᱢᱟᱨᱟᱝ ᱠᱟᱹᱴᱤᱡ

[✓] OBSERVED ᱛᱟᱢᱤᱞᱱᱟᱰᱩ ᱨᱮᱱ ᱱᱤᱞᱜᱤᱨᱤ ᱦᱤᱞᱥ ᱨᱮᱭᱟᱜ ᱯᱟᱸᱪᱟ ᱠᱚᱨᱮ ᱢᱮᱱᱟᱜ ᱢᱚᱫᱷᱚᱢᱟᱞᱟᱭ ᱴᱷᱟᱝᱠᱟᱨ ᱨᱤᱱ ᱧᱮᱞᱚᱜ ᱟᱱᱟᱜ ᱥᱩᱨ ᱡᱤᱭᱟᱹᱞᱤ ᱵᱟᱜᱟᱱ ᱨᱮ, ᱢᱤᱫᱴᱮᱱ ᱫᱟᱹᱲ ᱨᱮᱱᱟᱜ ᱥᱟᱸᱜᱮ ᱟᱨ ᱠᱮᱨᱚᱲ ᱜᱮᱭᱟᱱ ᱪᱚᱞᱚᱱᱤᱭᱟ. [✓] OBSERVED ᱑᱗᱐ ᱪᱟ. ᱣᱠᱟ. ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱡᱩᱨ ᱨᱮᱱᱟᱜ ᱵᱷᱩᱞᱟᱹᱲ ᱠᱚ ᱧᱮᱞ ᱞᱮᱫᱼᱟ, ᱚᱱᱟ ᱛᱟᱭᱚᱢ ᱫᱚ ᱜᱚᱴᱟᱝ ᱢᱟᱨᱮ ᱠᱟᱛᱷᱟ ᱠᱚ ᱵᱟᱰᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱑᱙᱙ ᱴᱤᱡᱽᱨᱚ ᱟᱨ ᱑᱘᱘ ᱞᱮᱯᱟᱨᱰ ᱰᱤᱥᱠᱨᱤᱝ ᱠᱚ ᱥᱟᱢᱟᱝ-ᱥᱟᱹᱨᱫᱤ ᱨᱮ ᱥᱮᱱ ᱟᱠᱟᱱᱟ ᱾ (107) (179) (108) [✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮ ᱟᱹᱰᱤ ᱜᱟᱱ ᱵᱷᱤᱛᱨᱤ ᱡᱚᱢᱟᱜ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱶᱟ ᱨᱮᱱᱟᱜ ᱡᱤᱞᱟᱹ ᱠᱚᱣᱟᱜ ᱥᱟᱭ ᱪᱚᱠᱮᱞ ᱠᱤᱞᱳᱢᱤᱴᱟᱨ ᱜᱮ ᱘,᱓᱐᱐ ᱠᱤᱞᱚᱜᱚᱨ ᱠᱷᱚᱱ ᱦᱚᱸ ᱰᱮᱜᱽᱨᱟᱢ ᱯᱩᱨᱟᱣ ᱟ. (8) (300)

[✓] OBSERVED ᱪᱤᱛᱚᱞ ᱥᱮ ᱵᱷᱮᱯᱟᱨᱰ ᱦᱚᱨ ᱠᱚ ᱡᱚᱛᱚ ᱴᱷᱟᱶ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ, ᱕᱐ ᱜᱚᱴᱟᱝ ᱦᱚᱨ ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱯᱟᱹᱛᱭᱟᱹᱨ ᱨᱮ ᱾ ᱱᱚᱸᱰᱮᱱ ᱜᱮ ᱥᱮᱫᱟᱭ ᱫᱚ ᱟᱭᱳ ᱟᱨ ᱢᱟᱨᱟᱝ ᱫᱩᱣᱟ. (55) [↗] MODELLED ᱡᱟᱦᱟᱸ ᱫᱚ ᱔᱓% ᱠᱷᱚᱱ ᱦᱚᱸ ᱵᱟᱹᱲᱛᱤ ᱠᱟ. (43)

ᱵᱷᱩᱞᱟᱹᱲ ᱟᱨ ᱡᱤᱣᱤᱫᱽ

[≈] ASSOCIATION ᱠᱩᱲᱤ ᱡᱟᱹᱛᱤ ᱠᱚᱣᱟᱜ ᱩᱯᱨᱩᱢ ᱫᱚ ᱵᱷᱮᱜᱟᱨ ᱦᱟᱥᱟ ᱥᱟᱶ ᱵᱟᱭ ᱨᱚᱲᱚᱜ ᱠᱷᱚᱱ ᱢᱚᱬᱮ ᱜᱚᱴᱟᱝ ᱪᱟᱸᱫᱚ, ᱫᱩᱨᱠᱷᱟ ᱟᱨ ᱞᱟᱱᱡᱚᱨ ᱟᱸᱰᱮᱞ ᱠᱚ ᱪᱟᱞᱟᱣ ᱠᱟᱛᱮ ᱠᱚᱢ ᱞᱮᱱ ᱠᱷᱟᱱ ᱜᱮᱭᱟ ᱾ [↗] MODELLED ᱵᱟᱨᱭᱟ ᱪᱟᱥᱠᱮᱛ ᱫᱚ ᱛᱤᱜᱩᱣᱟ ᱠᱚᱣᱟᱜ ᱡᱚᱢᱟᱜ ᱨᱮᱱᱟᱜ ᱢᱩᱬ ᱴᱷᱟᱶ ᱞᱮᱠᱟᱛᱮ ᱯᱟᱨᱠ ᱥᱩᱨ ᱨᱮ ᱜᱚᱡᱚᱜ ᱠᱟᱱ ᱟᱹᱛᱩ ᱨᱤᱱᱤᱡ ᱚᱸᱰᱮᱱᱟᱜ ᱵᱟᱲᱛᱤ ᱦᱚᱯᱚᱱ ᱦᱚᱸᱭ ᱧᱮᱞᱚᱜᱼᱟ ᱾ [i] CONTEXT ᱥᱟᱬᱮᱥᱤᱭᱟᱹ ᱠᱚ ᱫᱚ ᱱᱚᱣᱟ ᱵᱟᱰᱟᱭ ᱞᱮᱫᱟ ᱡᱮ ᱪᱟᱸᱫᱚ ᱨᱮ ᱠᱷᱟᱴᱚ ᱠᱟᱛᱷᱟ ᱠᱚ ᱵᱟᱝ ᱧᱮᱞᱚᱜᱼᱟ ᱟᱨ ᱥᱮᱨᱢᱟ ᱫᱟᱨᱟᱢ ᱚᱠᱛᱮ ᱨᱮ ᱥᱚᱢᱵᱚᱞ ᱦᱚᱸ ᱵᱟᱝ ᱦᱟᱹᱡᱩᱜᱼᱟ ᱾

[≈] ASSOCIATION ᱵᱷᱮᱜᱟᱨ-ᱵᱷᱮᱡᱟᱨ ᱟᱠᱟᱱ ᱡᱤᱣᱟᱹᱱ ᱠᱚ ᱵᱟᱪᱷᱟᱣ ᱠᱟᱛᱮ, ᱛᱤᱨ ᱟᱨ ᱞᱚᱯᱚᱨᱰ ᱮᱴᱟᱜ ᱦᱚᱲ ᱥᱟᱶ ᱠᱩᱞᱦᱟᱣ ᱫᱚᱦᱚᱭᱟ ᱾ [✓] OBSERVED ᱵᱷᱩᱞᱰ ᱥᱚᱢᱵᱟᱨ ᱦᱚᱨ ᱠᱚ ᱫᱚᱨᱭᱟ ᱟᱨ ᱨᱤᱡᱮᱨᱴ ᱵᱟᱦᱨᱮ ᱟᱹᱛᱩ ᱠᱳᱣᱟᱜ ᱡᱤᱣᱟᱹᱱ ᱫᱚᱦᱚ ᱠᱟᱛᱮ ᱱᱚᱣᱟ ᱞᱟᱦᱟ ᱛᱮ ᱥᱟᱥᱚᱱᱚᱜᱼᱟ ᱡᱮ ᱤᱱᱫᱤᱭᱟ ᱨᱮᱱᱟᱜ ᱢᱟᱨᱟᱝ ᱪᱚᱯᱚᱲᱟᱣᱤᱭᱟᱹᱠᱚ ᱢᱤᱫ ᱥᱟᱶ ᱮᱢᱟᱱ ᱨᱮ ᱯᱩᱨᱟᱹᱣᱜ-ᱟ ᱾

COMPLETED MODE I (☕ CHAI • 3 MIN READ)

ᱞᱟᱦᱟ ᱥᱮᱫ ᱯᱟᱲᱦᱟᱣ ᱢᱮ: 🍱 ᱴᱤᱯᱷᱤᱱ (5 min) →

ᱯᱷᱟᱭᱞᱟ ᱠᱷᱚᱸᱫᱽᱨᱚᱸᱫᱽ (5 min)

READING MODE II • 🍱 TIFFIN (IN-DEPTH ANALYTICAL FEATURE) ⏱️ 5 MIN READ • PUBLISHED 2009

ᱰᱤᱴ ᱟᱨ ᱯᱨᱮᱰᱮᱛᱚᱨ ᱥᱤᱞᱮᱥᱚᱱ: ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮ ᱛᱤᱨᱞᱟᱹ ᱟᱨ ᱞᱳᱯᱟᱨᱰ ᱮᱠᱚᱞᱚᱡᱤᱭᱟ

ᱛᱟᱢᱤᱞᱱᱟᱰᱩ ᱨᱮᱱᱟᱜ ᱢᱟᱨᱟᱝ ᱴᱟᱭᱜᱽᱨᱮᱱ ᱨᱤᱡᱚᱨᱵᱷ ᱨᱮ ᱵᱤᱭᱚᱢᱮᱥ ᱢᱮᱰᱮᱞᱤᱝ, ᱡᱟᱹᱛᱤ ᱥᱟᱯᱲᱟᱣ ᱟᱨ ᱯᱟᱥᱛᱷᱟᱣ

Analytical Synthesis: ᱟᱠᱚᱨᱢᱟᱱ ᱨᱮᱱᱟᱜ ᱡᱤᱣᱤᱫᱷᱟᱱ ᱥᱟᱵᱟᱱᱟᱹᱛ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱴᱟᱭᱜᱟᱨ ᱨᱤᱡᱽᱨᱮᱥ ᱨᱮ ᱑᱐᱗ ᱪᱟᱹᱴᱤᱭᱟᱹᱞ ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱮ ᱦᱮᱡ ᱟᱠᱟᱫ ᱢᱤᱫ ᱚᱠᱥᱚᱸᱪᱚᱞ ᱯᱩᱛᱷᱤ ᱠᱷᱚᱱ ᱧᱟᱢᱚᱜ ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱱᱚᱣᱟ ᱞᱟᱹᱭ ᱟᱠᱟᱫᱼᱟ ᱡᱮ ᱛᱤᱝᱜᱮ ᱠᱚᱣᱟᱜ ᱡᱤᱣᱟ ᱵᱤᱥᱛᱤ ᱨᱮᱭᱟᱜ 43.2%, ᱥᱚᱢᱵᱟᱨ ᱟᱨ ᱜᱳᱲᱟ ᱠᱷᱚᱱ 26.2% ᱵᱟᱰᱟᱣᱮᱫᱼᱟ ᱾ ᱱᱤᱛᱚᱜ ᱞᱮᱯᱟᱨᱰ ᱫᱚ ᱫᱩᱨᱜᱩ ᱦᱚᱠ ᱟᱨ ᱞᱟᱱᱜᱩᱨ ᱠᱚ ᱰ prefer ᱠᱚᱣᱟ᱾ ᱱᱚᱶᱟ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱡᱮ ᱪᱮᱫ ᱞᱮᱠᱟᱱᱟᱜ ᱜᱮ 0.78 ᱱᱟᱦᱟᱜ ᱩᱯᱨᱩᱢ ᱟᱹᱨᱤ ᱛᱮᱭᱟᱨᱟ ᱚᱱᱟ ᱫᱚ ᱪᱤᱠᱷᱟ. (107)

ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮᱱᱟᱜ ᱡᱤᱣᱤᱫᱷᱟᱱ ᱟᱨ ᱵᱤᱭᱳᱢᱮᱥᱥ ᱪᱮᱛᱟᱱ

[✓] OBSERVED ᱛᱟᱢᱤᱞᱱᱟᱰᱩ ᱨᱮᱱᱟᱜ ᱱᱤᱞᱜᱤᱨᱤᱥ ᱦᱚᱱᱚᱛ ᱨᱮ ᱢᱮᱱᱟᱜ ᱢᱚᱫᱷᱚᱢᱚᱞᱟᱭ ᱴᱟᱭᱜᱚᱨ ᱨᱤᱡᱮᱨᱵᱽ ᱫᱚ ᱥᱟᱸᱜᱮ ᱪᱟᱯᱟᱜ ᱟᱨ ᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱚᱠᱟ-ᱳᱠᱟ ᱜᱮᱭᱟᱱ ᱵᱩᱨᱩ ᱠᱚ ᱛᱟᱞᱟᱨᱮ ᱢᱤᱫ ᱟᱹᱭᱫᱟᱹᱨᱤ ᱥᱟᱱᱛᱟᱲᱤ ᱴᱚᱴᱷᱟ ᱠᱟᱱᱟ ᱾ [CLM-001] [✓] OBSERVED ᱑᱐᱗ ᱪᱟ. ᱣᱠᱟ. ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱥᱟᱸᱜᱤᱧ ᱴᱚᱴᱷᱟ ᱨᱮ ᱢᱮᱱᱟᱜ ᱱᱚᱣᱟ ᱫᱚᱨᱵᱟᱨ ᱛᱤᱨ, ᱞᱳᱯᱟᱨᱰ ᱟᱨ ᱰᱩᱞ ᱠᱚᱣᱟᱜ ᱥᱤᱠᱷᱱᱟᱹᱛ ᱡᱟᱭᱜᱟ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱫᱼᱟ ᱾ (107) [CLM-001] [✓] OBSERVED ᱒᱐᱑᱘ ᱥᱮᱨᱢᱟ ᱨᱮᱱᱟᱜ ᱡᱟᱱᱩᱣᱟᱨᱤ ᱠᱷᱚᱱ ᱚᱜᱚᱥᱴ ᱦᱟᱹᱵᱤᱡ, ᱯᱷᱤᱞᱰ ᱵᱤᱭᱚᱞᱳᱡᱤᱥᱴ ᱠᱚ ᱫᱚ ᱠᱷᱟᱫᱟᱠᱚᱢᱯᱷᱚᱨ ᱯᱚᱱᱚᱛ ᱨᱮᱭᱟᱜ ᱥᱟᱢᱟᱝ ᱨᱮ 179 ᱜᱚᱴᱟᱝ ᱛᱤᱨᱞᱟᱹ ᱟᱨ 108 ᱜᱚᱴᱟᱱ ᱞᱟᱭᱯᱟᱨᱰ ᱥᱠᱟᱴ ᱮ ᱪᱮᱛᱟᱱ ᱟᱠᱟᱫᱼᱟ ᱾ (2008) [CLM-001] [✓] OBSERVED ᱰᱤᱜᱽᱨᱟᱢ ᱥᱚᱢᱵᱚᱞ ᱞᱟᱭᱤᱱ ᱴᱨᱟᱥᱮᱠᱴ ᱫᱚ ᱘,᱓᱖᱕.᱐᱒ ᱠᱤᱞᱳᱢᱤᱴᱚᱨ ᱪᱟᱱᱟᱪ ᱨᱮ ᱟᱹᱰᱤ ᱜᱟᱱ ᱵᱷᱟᱹᱜᱤᱭᱚ ᱡᱚᱱᱚᱲᱟᱜ ᱵᱮᱣᱟᱨ ᱢᱤᱥᱟ ᱨᱮᱭᱟᱜ ᱟᱭᱢᱟ ᱞᱮᱠᱷᱟ ᱧᱮᱞ ᱟᱠᱟᱫᱼᱟ ᱾ (8) (365.02) [CLM-003]

[✓] OBSERVED ᱱᱚᱣᱟ ᱡᱤᱣᱤᱫᱟᱥ ᱪᱮᱛᱟᱱ ᱫᱚ ᱥᱤᱧᱚᱛ ᱨᱮᱱᱟᱜ ᱥᱟᱢᱟᱝ ᱢᱟᱦᱟᱫᱮᱥ ᱨᱮ ᱚᱞ ᱟᱠᱟᱱᱟᱱ ᱵᱷᱩᱴᱟᱹᱝ ᱠᱳᱨᱰ ᱠᱚᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱩᱯᱩᱨᱩᱢ ᱢᱮᱱᱟᱜᱼᱟ, ᱱᱚᱶᱟ ᱱᱟᱜᱟᱨᱚᱦᱚᱞ ᱟᱨ ᱯᱮᱱᱪ ᱞᱮᱠᱟᱱ ᱯᱟᱨᱠ ᱠᱷᱚᱱ ᱦᱚᱸ ᱵᱟᱭ ᱦᱤᱥᱩᱜ ᱠᱟᱱᱟ ᱾ [CLM-003] [✓] OBSERVED ᱪᱤᱛᱚᱞ (* ᱮᱥ ᱟᱠᱥᱤ) ᱫᱚ ᱡᱚᱛᱚ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱞᱮᱠᱷᱟ ᱞᱮᱠᱟᱛᱮ ᱦᱟᱨᱵᱷᱳᱨᱰ ᱠᱟᱱᱟ, ᱚᱠᱟ ᱫᱚ ᱢᱩᱫᱽ ᱨᱮᱱ ᱩᱯᱩᱨᱩᱢ ᱵᱟᱡᱟᱨ ᱠᱚᱨᱮ ᱢᱤᱫ ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱯᱟ. ᱴᱭᱟᱹᱨᱤ ᱞᱟᱹᱜᱤᱫ ᱕᱕.᱓ ᱜᱚᱴᱟᱝ ᱦᱚᱲᱞᱮᱠᱷᱟᱭ ᱛᱟᱦᱮᱸᱱᱟ ᱾ (55.3) [CLM-002] [✓] OBSERVED ᱡᱚᱛᱚ ᱞᱮᱠᱟᱱ ᱞᱟᱝᱜᱩᱥ (ᱯᱨᱮᱥᱵᱭᱛᱤᱥ ᱮᱱᱛᱮᱞᱞᱩᱥ) * ᱫᱚ ᱢᱤᱫ ᱪᱟᱹᱣᱰᱤ ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱨᱮ ᱒᱕.᱙ ᱜᱚᱴᱟᱝ ᱢᱟᱨᱮ ᱡᱤᱭᱟᱹᱞᱤ ᱠᱚ ᱧᱟᱢ ᱟᱠᱟᱫᱟ, ᱚᱠᱟᱛᱮ ᱵᱳᱥ ᱜᱟᱣᱨᱚᱥ (ᱵᱚᱥ ᱜᱟᱩᱨᱩᱥ*) ᱫᱚ ᱢᱤᱫ ᱦᱚᱱᱚᱛ ᱨᱮᱱᱟᱜ ᱑᱑.᱔ ᱜᱚᱴᱟᱱ ᱢᱟᱨᱟᱝ ᱢᱤᱨᱟᱝ ᱡᱤᱭᱟᱹᱲᱤ ᱠᱚ ᱛᱟᱞᱢᱟ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ (25.9) (11.4) [CLM-002] [↗] MODELLED ᱪᱤᱛᱚᱞ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱜᱟᱱ ᱞᱮᱠᱷᱟ ᱡᱚᱥ ᱨᱮᱦᱚᱸ, ᱮᱯᱤᱠᱥ ᱯᱨᱮᱰᱮᱴᱚᱨ ᱠᱚ ᱫᱚ ᱵᱷᱮᱜᱟᱨ ᱟᱨ ᱵᱟᱝ ᱥᱟᱹᱜᱩᱱᱤᱭᱟᱹ ᱡᱚᱢᱟᱜ ᱨᱮᱭᱟᱜ ᱟᱵᱚᱫᱽ ᱞᱮᱫᱟ ᱾ [CLM-004] [CLM-005]

ᱟᱞᱳᱢᱮᱴᱨᱤᱠ ᱥᱠᱮᱴ ᱢᱚᱰᱮᱞᱤᱝ ᱟᱨ ᱱᱤᱥᱮ ᱯᱟᱨᱴᱤᱪᱚᱨ

[↗] MODELLED ᱥᱟᱹᱨᱤ ᱡᱚᱢᱟᱜ ᱵᱤᱭᱚᱵᱷᱮᱥ ᱨᱮ ᱧᱟᱢᱚᱜ ᱠᱟᱱ ᱢᱟᱭᱠᱨᱳᱥᱯᱤᱠ ᱦᱮᱲᱮᱡ ᱠᱚ ᱵᱮᱱᱟᱣ ᱞᱟᱹᱜᱤᱫ, ᱥᱟᱬᱮᱥᱤᱭᱟᱹᱠᱚ ᱮᱠᱚᱨᱢᱮᱱ ᱨᱮᱱᱟᱜ ᱚᱞᱚᱢᱮᱴᱨᱤᱠᱟ ᱨᱤᱜᱨᱮᱥᱤᱚᱱ ᱤᱥᱟᱹᱭ ᱛᱮᱭᱟᱨ ᱞᱮᱫᱟ ᱾ [CLM-008] [↗] MODELLED ᱦᱟᱥᱛᱟᱲᱤ ᱥᱟᱢᱟᱝ ᱨᱮ ᱡᱟᱦᱟᱸᱭ ᱫᱚ ᱵᱷᱮᱜᱟᱨ-ᱵᱷᱟᱣᱟᱜ ᱠᱤᱞᱳᱜᱽᱨᱟᱢ ᱠᱚ ᱦᱩᱭᱩᱜᱼᱟ ᱚᱱᱟ ᱨᱮᱭᱟᱜ ᱢᱩᱬᱩᱛ ᱪᱤᱠᱤ ᱠᱟᱱᱟ ᱾ (1.980) [CLM-008] [↗] MODELLED ᱵᱤᱣᱚᱢᱮᱥ ᱢᱚᱰᱮᱞᱡᱚᱨ ᱫᱚ ᱱᱚᱣᱟ ᱞᱟᱹᱭ ᱟᱠᱟᱫᱟ ᱡᱮ ᱥᱟᱢᱵᱟᱨ (Cervus unicolor) ᱛᱤᱜᱽᱨᱩ ᱠᱚᱣᱟᱜ ᱯᱩᱭᱞᱩ ᱪᱤᱠᱤ ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱥᱟᱱᱟᱢ ᱵᱮᱵᱷᱟᱨᱚᱜ ᱠᱟᱱ ᱵᱤᱣᱟᱢᱤᱥ ᱨᱮᱭᱟᱜ 43.2 ᱯᱷᱤᱡᱚᱱ ᱮ ᱦᱟᱛᱟᱣ ᱟᱠᱟᱱ ᱛᱟᱦᱮᱸᱱ ᱾ [CLM-004] [↗] MODELLED ᱚᱲᱟᱜ ᱜᱚᱰᱟ ᱫᱚ ᱛᱤᱜᱽᱨᱟᱹ ᱡᱚᱢ ᱨᱮ ᱵᱤᱡᱤᱞ ᱨᱮᱱᱟᱜ ᱢᱟᱨᱟᱝ ᱯᱚᱛᱚᱵ ᱠᱟᱱᱟ ᱾ ᱱᱚᱶᱟ ᱨᱮᱭᱟᱜ 26.2%, ᱪᱤᱛᱚᱞ ᱟᱨ 15.2% ᱢᱮᱱᱟᱜᱼᱟ ᱾ [CLM-004] [CLM-010]

[≈] ASSOCIATION ᱤᱵᱷᱞᱮᱣ ᱟᱨ ᱡᱟᱠᱳᱵᱽᱥᱟᱜ ᱪᱷᱟᱯᱚᱱ ᱵᱟᱪᱷᱟᱣ ᱨᱮᱱᱟᱜ ᱥᱟᱹᱠᱷᱭᱟᱹᱛ ᱫᱚ ᱱᱚᱣᱟ ᱯᱩᱨᱟᱹᱣ ᱟᱠᱟᱫᱼᱟ ᱡᱟᱦᱟᱸ ᱛᱤᱨᱞᱟ. ᱠᱚ ᱢᱩᱬᱩᱛ ᱨᱮ ᱥᱚᱢᱵᱟᱨ, ᱵᱮᱞᱰ ᱯᱷᱨᱟᱝᱜᱟᱱ ᱟᱨ ᱚᱲᱟᱜ ᱜᱚᱡᱚᱢ ᱠᱷᱚᱱ ᱠᱩᱴᱩᱜ ᱠᱟᱱᱟ ᱾ [CLM-005] [≈] ASSOCIATION ᱵᱷᱮᱜᱟᱨ ᱠᱟᱛᱮ, ᱞᱤᱯᱚᱨᱰ ᱠᱚ ᱫᱚ ᱠᱩᱲᱤ ᱦᱚᱠ, ᱥᱚᱢᱵᱟᱨ, ᱡᱟᱹᱥᱛᱤ ᱞᱮᱝᱜᱩᱨ ᱟᱨ ᱢᱳᱣᱟ ᱠᱚ ᱵᱟᱬᱦᱮᱫ ᱮᱫᱟ ᱾ ᱪᱤᱛᱚᱞ ᱨᱮᱱᱟᱜ ᱵᱮᱵᱷᱟᱨ ᱠᱷᱚᱱ ᱦᱚᱸ ᱠᱚᱢ ᱜᱮᱠᱚ ᱦᱤᱡᱩᱜ-ᱟ ᱾ [CLM-007] [↗] MODELLED ᱯᱤᱭᱟᱱᱠᱟ ᱨᱮᱱᱟᱜ ᱡᱚᱢᱟᱜ ᱨᱮ ᱵᱟᱨᱭᱟ ᱥᱤᱯᱴᱚᱨᱤᱠ ᱯᱷᱮᱞᱰ ᱠᱚ ᱛᱟᱞᱟᱛᱮ ᱪᱮᱛᱟᱱ ᱚᱞᱚᱜ ᱨᱮᱭᱟᱜ ᱤᱱᱫᱷᱮᱥ ᱫᱚ 0.78 ᱥᱟᱸᱜᱷᱟᱨ ᱛᱮ ᱦᱤᱥᱟᱹᱵᱽ ᱟᱠᱟᱱᱟ, ᱱᱚᱣᱟ ᱫᱚ ᱢᱩᱬᱩᱛ ᱡᱚᱢᱚᱠ ᱥᱟᱶᱦᱮᱫ ᱟᱞᱟᱝ ᱦᱩᱭᱩᱜᱼᱟ ᱾ [CLM-009] [≈] ASSOCIATION ᱟᱡᱟᱜ ᱡᱚᱢᱟᱜ ᱨᱮᱱ ᱯᱮᱭᱟ ᱪᱟᱸᱫᱚ ᱠᱚ ᱮᱢᱚᱜ ᱠᱷᱟᱹᱛᱤᱨ, ᱠᱷᱟᱴᱟ ᱜᱷᱚᱴᱚᱱᱤᱭᱟᱹ ᱥᱟᱹᱜᱩᱱᱤᱭᱟᱜ ᱵᱟᱧᱪᱟᱣ ᱫᱚ ᱞᱮᱠᱟᱱ ᱢᱩᱬᱩᱛ ᱟᱨ ᱢᱟᱭᱠᱳᱵᱤᱴ ᱵᱤᱥᱮᱥ ᱛᱮ ᱦᱤᱡᱩᱜᱼᱟ ᱾ [CLM-005] [CLM-009]

ᱡᱟᱹᱛᱤ ᱠᱚᱣᱟᱜ ᱪᱟᱥ, ᱦᱚᱨᱚᱯ ᱨᱮᱱᱟᱜ ᱥᱩᱪᱤᱱᱟᱹᱛ ᱟᱨ ᱯᱨᱚᱥᱟᱫᱽ

[✓] OBSERVED ᱡᱟᱦᱟᱸ ᱫᱚ ᱦᱩᱰᱤᱧ ᱜᱚᱡ ᱨᱮ ᱚᱲᱟᱜ ᱨᱮᱱᱟᱜ ᱠᱳᱣᱨᱤ ᱠᱚ ᱢᱮᱱᱟᱜᱼᱟ ᱚᱱᱟ ᱪᱮᱫ ᱞᱮᱠᱟᱛᱮ ᱨᱤᱡᱚᱨᱵᱷᱮᱴ ᱯᱟᱨᱚᱢᱟ ᱨᱮ ᱢᱟᱹᱱᱢᱤ-ᱢᱤᱞᱼᱠᱷᱟᱞᱟᱱ ᱟᱹᱭᱫᱟᱹᱨᱤ ᱰᱟᱭᱱᱟᱢᱤᱠᱟ ᱧᱟᱢᱚᱜ ᱠᱟᱱᱟ ᱾ [CLM-010] [↗] MODELLED ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱷᱩᱞᱟᱹᱲ ᱵᱟᱰᱚᱦᱤ ᱛᱮ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱠᱷᱟᱹᱛᱤᱨ ᱢᱳᱣᱟ ᱠᱚᱣᱟᱜ ᱦᱟᱥᱟ ᱨᱮ ᱛᱤᱜᱽᱨᱮᱥ ᱪᱤᱠᱤ ᱨᱮᱭᱟᱜ 26.2 ᱯᱚᱨᱥᱚᱱ ᱟᱨ ᱞᱟᱭᱯᱟᱨᱰ ᱪᱤᱠᱨᱤ ᱨᱮᱱᱟᱜ 11 ᱯᱚᱨᱥᱤᱚᱱ ᱢᱮᱱᱟᱜᱼᱟ ᱾ [CLM-004] [CLM-010] [i] CONTEXT ᱡᱟᱦᱟᱸ ᱫᱚ ᱢᱩᱬᱩᱛ ᱜᱮ ᱛᱟᱦᱮᱸ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱪᱟᱪᱞᱟᱣᱤᱭᱟᱹ ᱠᱚ ᱢᱮᱱᱟᱭᱟ ᱚᱠᱟ ᱥᱠᱮᱴ ᱮᱱᱮᱞᱤᱡᱤ ᱛᱮᱜᱮ ᱠᱟᱹᱢᱤ ᱟᱠᱟᱱ ᱵᱷᱤᱛᱨᱤ ᱨᱮ ᱢᱮᱱᱟᱜ ᱨᱚᱯᱚᱲ ᱦᱚᱲ ᱠᱚ ᱵᱟᱭ ᱛᱟᱨᱟᱢ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ (ᱱᱚᱣᱟ ᱯᱟᱲᱦᱟᱣ ᱨᱮᱭᱟᱜ ᱥୀᱢᱟ ᱠᱷᱟᱹᱛᱤᱨ ᱵᱟᱹᱲᱛᱤ ᱧᱮᱞ ᱵᱮᱜᱚᱨ ᱥᱚᱡᱷᱮ কারণ ᱵᱟᱝ ᱯᱩᱥᱴᱟᱹᱣ ᱟᱠᱟᱱᱟ) ᱾ [CLM-006] [i] CONTEXT ᱟᱨᱦᱚᱸ, ᱴᱷᱟᱶ ᱨᱮᱱᱟᱜ ᱥᱚᱢᱵᱚᱞ ᱫᱚ ᱮᱛᱚᱢᱼᱥᱟᱢᱟᱝ ᱨᱮ ᱱᱟᱭᱦᱟᱹᱨ ᱢᱳᱱᱥᱚᱱ ᱥᱮᱨᱢᱟ ᱵᱟᱠᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱾ ᱱᱚᱶᱟ ᱛᱮ ᱢᱳᱱᱟᱥᱚᱱ ᱡᱤᱣᱟᱹᱫᱽ ᱪᱟᱞᱟᱣ ᱨᱮᱭᱟᱜ ᱢᱟᱬᱮ ᱠᱚ ᱵᱟᱧᱪᱟᱣ ᱟᱠᱟᱱᱟ ᱾ (ᱱᱚᱣᱟ ᱯᱟᱲᱦᱟᱣ ᱨᱮᱭᱟᱜ ᱥୀᱢᱟ ᱠᱷᱟᱹᱛᱤᱨ ᱵᱟᱹᱲᱛᱤ ᱧᱮᱞ ᱵᱮᱜᱚᱨ ᱥᱚᱡᱷᱮ কারণ ᱵᱟᱝ ᱯᱩᱥᱴᱟᱹᱣ ᱟᱠᱟᱱᱟ) ᱾ [CLM-006]

[≈] ASSOCIATION ᱡᱟᱦᱟᱸ ᱠᱟᱹᱢᱤ ᱠᱚᱫᱚ ᱢᱩᱥᱞᱤᱢ ᱨᱮ ᱦᱩᱭᱩᱜᱼᱟ ᱚᱱᱟ ᱠᱚ ᱫᱚᱦᱚ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱛᱩᱨ ᱨᱮᱱᱟᱜ ᱯᱟᱨᱚᱢᱟᱱ ᱪᱟᱪᱞᱟᱣ ᱠᱷᱚᱱ ᱵᱟᱧᱪᱟᱣ ᱠᱟᱛᱮᱜ ᱟ. [CLM-007] [CLM-010] [✓] OBSERVED ᱥᱚᱢᱵᱟᱨ ᱟᱨ ᱜᱳᱨ ᱞᱮᱠᱟᱱ ᱢᱟᱨᱟᱝ ᱵᱷᱩᱞᱟᱹᱲ ᱡᱤᱣᱤᱫᱽ ᱠᱚ ᱨᱮᱱᱟᱜ ᱯᱚᱯᱩᱞᱮᱥᱚᱱ ᱫᱚᱦᱚ ᱠᱟᱛᱮ ᱛᱤᱨᱟ.ᱜ ᱦᱤᱥ ᱦᱚᱲ ᱮᱞ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱵᱮᱥᱮ ᱧᱟᱢᱚᱜᱼᱟ ᱾ [CLM-003] [CLM-004] [✓] OBSERVED ᱥᱤᱧᱚᱛ ᱨᱮᱱᱟᱜ ᱯᱨᱚᱡᱮᱠᱴ ᱴᱟᱭᱜᱚᱨ ᱱᱮᱛᱟᱨ ᱨᱮ ᱢᱩᱫᱩᱢᱟᱞᱤ ᱫᱚ ᱢᱤᱫ ᱦᱟᱯᱲᱟᱢ ᱠᱳᱨᱚᱱ ᱡᱩᱜᱽ ᱠᱟᱱᱟ ᱾ [CLM-001] [CLM-009] [✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮᱱᱟᱜ ᱵᱷᱟᱜᱽᱲᱟ ᱴᱟᱨᱮᱱ ᱙᱖᱐ ᱠᱷᱚᱱ ᱑᱒᱖᱖ ᱢᱮᱴᱚᱨ ᱩᱥᱠᱟᱹᱨ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱥᱟᱢᱟᱝᱼᱵᱩᱨᱩ ᱪᱮᱛᱟᱱ ᱠᱚ ᱵᱮᱱᱟᱣ ᱟᱠᱟᱫᱼᱟ ᱾ (960) (1) (266) [CLM-001] [✓] OBSERVED ᱵᱩᱨᱩ ᱨᱮᱱᱟᱜ ᱞᱮᱠᱟᱱ ᱠᱚᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱫᱟᱹᱠᱷᱤᱱ ᱴᱨᱳᱯᱤᱠ ᱚᱛᱱᱚᱜ, ᱱᱟᱥᱮ ᱪᱟᱪᱞᱟᱣ ᱟᱲᱟᱝ, ᱥᱟᱢᱟᱝ ᱡᱤᱵᱽᱨᱟᱡᱤᱞ ᱟᱨ ᱨᱤᱛᱩ ᱜᱟᱞᱟᱨᱤᱭᱟ ᱯᱚᱱᱚᱛ ᱨᱮᱭᱟᱜ ᱩᱰᱟᱹᱨᱤᱭᱟᱹ ᱵᱟᱦᱨᱮ᱾ [CLM-001] [CLM-003] [✓] OBSERVED ᱯᱟᱪᱮᱼᱯᱟᱪᱷᱮ ᱨᱮ ᱚᱸᱰᱮᱱᱟᱜ ᱱᱟᱝᱜᱽᱨᱟᱦᱟ ᱫᱚ ᱪᱤᱛᱚᱞ ᱠᱚᱣᱟᱜ ᱞᱟᱹᱠᱛᱤᱭᱟᱱ ᱜᱚᱫᱮᱞ ᱨᱮᱱᱟᱜ ᱴᱚᱴᱷᱟ ᱡᱤᱞᱤᱧ ᱵᱮᱱᱟᱣᱟᱠᱟᱱᱟ। [CLM-001] [CLM-002]

[i] CONTEXT ᱡᱟᱦᱟᱸ ᱠᱟᱨᱞ ᱠᱚ ᱵᱟᱵᱚᱫᱽ ᱠᱟᱛᱮ ᱟᱭᱳ ᱵᱟᱹᱲᱤᱡ ᱜᱮᱭᱟ, ᱚᱱᱟ ᱵᱮᱜᱚᱨ ᱨᱮᱱ ᱢᱩᱸᱰᱟ ᱫᱚ ᱧᱤᱫᱟᱹ ᱫᱤᱱ ᱨᱮᱭᱟᱜ ᱞᱤᱯᱟᱨᱰ ᱪᱷᱮᱛᱟᱱ ᱠᱷᱚᱱ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱛᱟᱦᱮᱸᱱᱟ ᱾ [CLM-006] [CLM-010] [✓] OBSERVED ᱕᱐% ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱜᱚᱴᱟ ᱠᱟᱴᱠᱚᱢ ᱨᱮ ᱢᱤᱫ ᱴᱮᱱ ᱡᱟᱱᱣᱟ ᱧᱮᱞᱚᱜ ᱠᱟᱱ ᱛᱚᱵᱮ ᱪᱟᱸᱫᱽ ᱢᱮᱱᱟᱜᱼᱟ ᱾ [CLM-001] [✓] OBSERVED ᱢᱤᱠᱨᱚᱥᱠᱳᱯᱤᱠᱟᱞ ᱠᱨᱟᱥᱤᱴᱮᱥᱚᱱ ᱢᱮᱰᱩᱞᱟ ᱯᱟᱛᱷᱟᱢ ᱟᱨ ᱠᱚᱭᱴᱤᱥᱠᱚᱞᱟᱨ ᱥᱠᱟᱞ ᱨᱟᱹᱲᱤᱡ ᱫᱚ ᱡᱚᱢ ᱟᱠᱟᱱ ᱵᱷᱮᱡᱟ ᱨᱮᱱᱟᱜ ᱛᱩᱨᱩᱭ ᱜᱚᱴᱟᱝ ᱞᱮᱠᱟᱱ ᱧᱮᱞᱚᱜ ᱮᱢᱟᱫᱼᱟ ᱾ [CLM-001] [CLM-008] [↗] MODELLED ᱜᱳᱨ ᱠᱩᱲᱤ ᱫᱚ ᱚᱠᱛᱚ ᱨᱮ ᱢᱟᱨᱟᱝ ᱡᱟᱹᱯᱤᱫ ᱛᱤᱨᱞᱟᱹ ᱠᱚᱣᱟᱜ ᱦᱟᱥᱟ ᱛᱮᱠᱚ ᱪᱮᱬᱮ ᱞᱮᱱᱟ, ᱢᱮᱱᱠᱷᱟᱱ ᱵᱷᱤᱛᱨᱤ ᱠᱷᱚᱱ ᱵᱟᱰᱟᱭᱚᱜ ᱞᱟᱹᱜᱤᱫ ᱥᱚᱨᱮᱥ ᱫᱟᱲᱮ ᱠᱷᱟᱹᱛᱤᱨ ᱜᱮ ᱩᱢᱮᱨ ᱟᱠᱟᱱᱟ ᱾ [CLM-004] [CLM-005] [✓] OBSERVED ᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱞᱚᱝᱜᱚᱨ ᱠᱚ ᱪᱟᱸᱫᱚ ᱨᱮ ᱟᱹᱰᱤ ᱜᱟᱱ ᱚᱠᱛᱮ ᱫᱩᱞᱟᱹᱲ ᱦᱟᱥᱟ ᱠᱟᱛᱮ ᱵᱷᱮᱡᱟᱨ ᱮᱱᱟ ᱾ [CLM-002] [CLM-007] [✓] OBSERVED ᱰᱤ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱜᱟᱰᱟ ᱟᱨ ᱵᱷᱟᱜᱽᱨᱟᱦᱟᱨ ᱠᱚᱣᱟᱜ ᱟᱹᱛᱩ ᱫᱚ ᱚᱸᱰᱮᱱᱟᱜ ᱡᱟᱭᱜᱟ ᱵᱮᱱᱟᱣᱟᱠᱟᱫᱼᱟ ᱾ ᱚᱱᱟ ᱴᱷᱟᱶ ᱨᱮ ᱪᱟᱸᱫᱚ ᱟᱨ ᱧᱤᱫᱟᱹ ᱛᱟᱞᱟᱛᱮ ᱦᱚᱨᱚᱱ ᱜᱮ ᱯᱟᱲᱦᱟᱣ ᱮᱱᱟ ᱾ [CLM-002]

[✓] OBSERVED ᱰᱳᱞᱤ (ᱪᱩᱚᱱ ᱟᱞᱯᱤᱱᱩᱥ) ᱫᱚ ᱯᱮᱭᱟ ᱢᱟᱨᱟᱝ ᱪᱟᱸᱜᱟ ᱡᱚᱢᱟᱜ ᱠᱟᱱᱟ, ᱚᱠᱟ ᱫᱚ ᱟᱭᱢᱟ ᱦᱚᱨ ᱨᱮ ᱫᱤᱱ ᱛᱚᱣᱟ ᱠᱚᱨᱮ ᱧᱮᱞᱚᱜᱼᱟ ᱾ [CLM-001] [CLM-003] [✓] OBSERVED ᱛᱟᱢᱤᱞᱱᱟᱰᱩ ᱨᱤᱱ ᱡᱟᱡᱟᱱ ᱰᱤᱯᱟᱨᱴᱮᱢᱮᱱᱴ ᱟᱜ ᱥᱮᱫᱟᱭ ᱛᱮ ᱜᱨᱟᱥᱤᱭᱚ ᱠᱳᱣᱟ ᱠᱚᱣᱟᱜ ᱟᱹᱛᱩᱨ ᱮ ᱩᱫᱩᱜ ᱞᱟᱹᱜᱤᱫ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱟᱦᱨᱮ ᱦᱚᱲ ᱠᱚ ᱢᱟᱹᱱᱢᱤ ᱠᱚ ᱥᱟᱠᱟᱢ ᱨᱮ ᱵᱷᱚᱨᱚᱛ ᱠᱷᱚᱱ ᱯᱩᱭᱥᱟᱹ ᱦᱤᱡᱩᱜ-ᱟ ᱾ [CLM-010] [≈] ASSOCIATION ᱑᱐,᱐᱐᱐ ᱨᱤᱯᱷᱮᱢᱮᱸᱴ ᱥᱟᱶ ᱵᱩᱴᱥᱴᱨᱚᱯᱤᱱᱜᱽ ᱥᱴᱟᱴᱤᱥᱴᱤᱠ ᱮᱱᱮᱡ ᱠᱚ ᱫᱚ ᱦᱟᱹᱠᱩ ᱞᱮᱠᱟᱱ ᱡᱚᱢᱟᱜ ᱨᱮᱱᱟᱜ ᱪᱷᱟᱸᱪᱟᱣ ᱟᱹᱰᱤ ᱥᱟᱱᱟᱝ ᱞᱮᱠᱟᱛᱮ ᱯᱚᱨᱥᱟᱫ ᱟᱠᱟᱱᱟ ᱾ (1) (000) [CLM-005] [CLM-007] [✓] OBSERVED ᱟᱭᱢᱟ ᱥᱮᱨᱢᱟ ᱫᱷᱟᱹᱨᱛᱤ ᱨᱮ ᱢᱮᱱᱟᱜ ᱱᱩᱞᱟᱞᱟ ᱠᱚᱨᱮᱱᱟᱜ ᱥᱴᱮᱱᱰ ᱣᱟᱜ ᱟᱹᱰᱤ ᱜᱟᱱ ᱫᱚ ᱢᱚᱱᱥᱳᱱ ᱦᱟᱹᱵᱤᱡ ᱥᱟᱢᱟᱝ ᱪᱚᱞᱚ ᱚᱠᱛᱚ ᱨᱮ ᱵᱤᱥᱮᱥ ᱡᱤᱞᱤᱧ ᱨᱮᱱᱟᱜ ᱠᱮᱸᱫᱽᱨᱟ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱥᱚᱦᱚᱫ ᱮᱭᱟ ᱾ [CLM-002] [CLM-003] [✓] OBSERVED ᱠᱩᱲᱤ ᱦᱚᱯᱚᱱ ᱠᱚᱣᱟᱜ ᱞᱟᱹᱠᱛᱤᱭᱟᱱ ᱯᱚᱨᱮᱢᱵᱷᱨᱤᱠᱟᱞ ᱥᱴᱟᱞ ᱯᱷᱤᱨᱰ ᱡᱳᱱᱟ ᱨᱮ ᱵᱚᱫᱚᱞ ᱠᱟᱛᱮ ᱪᱟᱥ ᱨᱮᱱᱟᱜ ᱨᱤᱡᱮᱱᱨᱮᱴᱟᱨ ᱫᱚᱦᱚ ᱦᱩᱭᱩᱜᱼᱟ ᱟᱨ ᱢᱟᱲᱟᱝ ᱥᱮᱨᱮᱧ ᱨᱮᱭᱟᱜ ᱮᱨᱟᱣ ᱠᱷᱚᱱ ᱵᱟᱭ ᱦᱤᱥᱚᱜᱼᱟ ᱾ [CLM-010] [✓] OBSERVED ᱥᱠᱮᱴ ᱠᱚᱞᱠᱟᱪᱚᱨ ᱥᱮᱣᱟ ᱥᱟᱶᱛᱮ ᱵᱮᱱᱟᱣ ᱟᱠᱟᱱ ᱠᱟᱢᱟᱨᱟ ᱯᱷᱚᱥ ᱮᱨᱤᱥ ᱫᱚ ᱡᱚᱢᱟᱜ ᱡᱤᱵᱽ ᱟᱨ ᱚᱲᱟᱜ ᱨᱮᱱᱟᱜ ᱢᱤᱫ ᱴᱮᱱ ᱦᱟᱹᱴᱤᱧ ᱨᱮ ᱯᱩᱨᱟᱹᱣ ᱠᱟᱛᱷᱟ ᱠᱚ ᱮᱢᱚᱜᱼᱟ ᱾ [CLM-001]

[✓] OBSERVED ᱵᱷᱩᱞᱴᱤᱝ ᱡᱟᱹᱛᱤ ᱥᱟᱶ ᱟᱹᱰᱤ ᱫᱷᱟᱣ ᱥᱟᱸᱜᱤᱧ ᱚᱪᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱢᱟᱨᱟᱝ ᱩᱯᱨᱩᱢᱟᱱ ᱵᱟᱭᱳᱢᱮᱥᱟ ᱫᱚ ᱥᱚᱨᱠᱟᱨᱤ ᱟᱨ ᱠᱮᱨᱚᱲ ᱟᱲᱟᱜ ᱠᱚ ᱥᱟᱶ ᱛᱩᱨᱩᱭ ᱜᱚᱴᱟᱝ ᱦᱩᱱᱟᱹᱨ ᱮᱱᱮᱡ ᱠᱟᱱᱟ ᱾ [CLM-003] [CLM-004] [CLM-010]

COMPLETED MODE II (🍱 TIFFIN • 5 MIN READ)

ᱯᱩᱨᱟᱹ ᱥᱟᱬᱮᱥ ᱚᱱᱚᱞ ᱯᱟᱲᱦᱟᱣ ᱢᱮ: 🍛 ᱛᱷᱟᱹᱞᱤ (10 min) →

ᱯᱩᱨᱟᱹ ᱥᱟᱬᱮᱥ ᱚᱱᱚᱞ (10 min) (Automatically activates the Scientist's Lens!)

READING MODE III • 🍛 THAALI (FULL ACADEMIC TREATISE • 🔬 SCIENTIST'S LENS AUTO-ENABLED) ⏱️ 10 MIN READ • PUBLISHED 2009

ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱴᱟᱭᱜᱚᱨ ᱨᱤᱡᱟᱨᱵᱷ ᱨᱮ ᱛᱤᱜᱽᱨᱟᱢ ᱟᱨ ᱞᱳᱯᱚᱨᱰ ᱨᱮᱱᱟᱜ ᱡᱚᱢᱟᱜ ᱦᱟᱹᱴᱤᱧ ᱟᱨ ᱪᱟᱥ ᱵᱟᱪᱷᱟᱣ

ᱰᱤᱜᱽᱨᱟᱢ ᱴᱨᱟᱥᱮᱠᱴ ᱡᱟᱱᱟᱢ ᱟᱱᱤᱡᱽᱰᱮᱥᱚᱱ, ᱮᱠᱚᱨᱢᱟᱱ ᱚᱞᱚᱢᱚᱵᱷᱤᱠ ᱥᱠᱟᱴ ᱵᱤᱭᱳᱢᱟᱥ ᱢᱚᱰᱮᱞᱡᱤᱝ, ᱯᱤᱭᱟᱸᱠᱟ ᱫᱤᱞᱞᱤ ᱨᱮᱱᱟᱜ ᱱᱤᱥᱩ ᱪᱮᱛᱟᱱ ᱟᱨ ᱠᱮᱱᱫᱟᱨᱟᱞ ᱠᱚᱣᱟ ᱟᱹᱭᱩᱨ ᱨᱮ ᱢᱤᱫ ᱥᱟᱯᱲᱟᱣ

Academic Treatise Abstract: ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱴᱤᱜᱽᱨ ᱨᱤᱡᱚᱨᱵᱷ ᱨᱮ ᱥᱚᱢᱯᱚᱛᱤᱠ ᱛᱤᱨ ᱟᱨ ᱞᱳᱯᱟᱨᱰ ᱰᱮᱴᱥ ᱨᱮᱱᱟᱜ ᱯᱩᱨᱟᱹᱣ ᱠᱮᱫ ᱢᱤᱫ ᱥᱟᱱᱟᱢᱼᱛᱟᱹᱨᱥᱤ ᱪᱟᱪᱞᱟᱣ, ᱘᱓᱖᱕ ᱠᱤᱞᱚ ᱜᱚᱴᱟᱝ ᱦᱟᱱ ᱡᱚᱞᱚᱱ ᱵᱤᱭᱚᱢᱟᱥ ᱚᱞ ᱠᱟᱛᱮ, ᱐.᱗᱘ ᱨᱮᱭᱟᱜ ᱯᱤᱭᱟᱱᱠᱟ ᱰᱮᱭᱮᱴᱨᱤ ᱥᱟᱹᱜᱩᱱ ᱠᱚ ᱮᱠᱞᱟ ᱟᱠᱟᱫᱼᱟ ᱾ ᱟᱨ ᱱᱚᱣᱟ ᱫᱚ ᱩᱫᱩᱜ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸᱨᱮ ᱥᱮᱸᱵᱟᱨ ᱟᱨ ᱵᱟᱦᱟ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱨᱤ ᱜᱮᱭᱟᱱ ᱡᱚᱞᱚᱝ ᱟᱠᱷᱲᱟᱢ ᱫᱚ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱛᱮ ᱧᱮᱞᱚᱜ-ᱟ᱾ (8) (365) (0.78)

ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮᱱᱟᱜ ᱤᱠᱳᱥᱤᱥᱴᱚᱢ ᱯᱨᱚᱯᱷᱤᱞ ᱟᱨ ᱠᱟᱨᱱᱵᱷᱚᱨ ᱜᱞᱰ

[✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱴᱟᱭᱜᱚᱨ ᱨᱤᱡᱮᱨᱵᱽ ᱫᱚ ᱛᱟᱢᱤᱞᱱᱟᱰᱩ ᱨᱮ ᱱᱤᱞ ᱜᱤᱨᱤ ᱦᱤᱞᱥ ᱨᱮᱱᱟᱜ ᱮᱛᱚᱢᱼᱯᱟᱪᱷᱮ ᱱᱟᱠᱷᱟ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱣᱟ ᱱᱤᱲᱚᱜᱨᱤ ᱵᱤᱭᱚᱥᱯᱷᱟᱨᱤᱭᱟᱱ ᱨᱤᱡᱮᱥᱵᱽ ᱨᱮ ᱢᱤᱫᱴᱟᱝ ᱠᱤᱥᱟᱹᱬ ᱥᱟᱱᱛᱟᱲ ᱠᱟᱱᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱑᱐᱗ ᱪᱟ. ᱣᱠᱟ. ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱥᱟᱸᱜᱤᱧ ᱴᱚᱴᱷᱟ ᱨᱮ ᱢᱮᱱᱟᱜ ᱱᱚᱣᱟ ᱫᱚᱨᱵᱟᱨ ᱨᱮᱱᱟᱜ ᱩᱥᱩᱞ ᱚᱛᱱᱚᱜ ᱨᱮᱭᱟᱜ ᱵᱷᱮᱡᱟᱱᱛᱤ ᱫᱚ 960 ᱟᱨ 1,266 ᱢᱤᱴᱟᱨ ᱛᱟᱞᱢᱟ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ (107) ( CLM-001 ) [✓] OBSERVED ᱱᱚᱣᱟ ᱫᱷᱚᱨᱚᱢ ᱨᱮ ᱥᱟᱢᱟᱝ ᱴᱨᱳᱯᱤᱠᱚᱞ ᱰᱨᱤ ᱛᱚᱣᱱ, ᱦᱟᱵᱽᱲᱤ ᱪᱮᱛᱟᱱ, ᱥᱤᱢᱤ- ᱮᱵᱚᱨᱜᱨᱤᱱ ᱟᱨ ᱨᱤᱯᱟᱨᱤᱭᱟᱱ ᱨᱤᱛᱩ ᱵᱩᱨᱩ ᱠᱚ ᱥᱟᱶᱛᱮ ᱡᱟᱜᱟ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱜᱟᱱ ᱞᱮᱠᱟᱱ ᱯᱟᱹᱴᱷᱩᱣᱟ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ( CLM-001 , CLM-003 ) [✓] OBSERVED ᱰᱤ ᱢᱟᱨᱟᱝ ᱨᱟᱵᱟᱝ ᱪᱟᱸᱜᱟ, ᱫᱟᱹᱠᱷᱤᱱ ᱨᱮᱱᱟᱜ ᱱᱟᱥᱮ ᱵᱩᱨᱩ ᱠᱷᱚᱱ ᱮᱛᱚᱢ ᱨᱮᱭᱟᱜ ᱥᱟᱢᱟᱝ ᱥᱮᱫ ᱠᱚ ᱥᱮᱴᱮᱨᱚᱜᱼᱟ ᱾ ᱱᱚᱶᱟ ᱫᱚ ᱡᱤᱞᱞᱟ. ( CLM-001 , CLM-002 ) [✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱫᱚ ᱢᱤᱫ ᱟᱹᱰᱤ ᱥᱟᱯᱟᱛᱤᱠ ᱢᱟᱨᱟᱝ ᱠᱷᱟᱴᱚ ᱡᱚᱢᱟᱱ ᱜᱤᱞᱰ ᱮ ᱥᱚᱦᱚᱫ ᱟᱠᱟᱱᱟ, ᱚᱠᱚᱭ ᱨᱮ ᱵᱷᱮᱝᱜᱚᱞ ᱛᱤᱨ (ᱯᱟᱱᱛᱦᱮᱨᱟ ᱛᱤᱜᱨᱤᱥ*), ᱥᱚᱨᱮᱥ ᱞᱳᱯᱟᱨᱰ (ᱯᱟᱱᱫᱦᱮᱨᱟ ᱯᱟᱨᱫᱩᱥ*) ᱟᱨ ᱟᱥᱤᱭᱟᱱ ᱫᱩᱨᱟᱹᱵᱽ ᱯᱩᱲᱥᱤ (ᱪᱩᱚᱱ ᱟᱞᱯᱤᱱᱩᱥ*) ᱠᱚ ᱥᱮᱞᱮᱫ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ( CLM-001 )

[✓] OBSERVED ᱪᱮᱛᱟᱱ ᱨᱮ ᱡᱤᱣᱟᱹᱱ ᱜᱟᱰᱟ ᱠᱚᱨᱮ ᱟᱹᱨᱤᱪᱟᱹᱞᱤ ᱨᱮᱱᱟᱜ ᱨᱩᱯ ᱞᱮᱠᱟᱛᱮ ᱯᱟᱨᱴᱤᱥᱚᱱ ᱨᱮᱭᱟᱜ ᱥᱮᱫᱟᱭ ᱫᱚ ᱢᱚᱢᱮᱞᱤᱭᱟᱢ ᱥᱟᱶᱦᱮᱫ ᱚᱠᱳᱞᱚᱡᱤ ᱨᱮ ᱢᱤᱫ ᱢᱟᱬᱟᱝ ᱠᱷᱟ. ( CLM-001 , CLM-009 ) [≈] ASSOCIATION ᱡᱟᱦᱟᱸ ᱨᱮ ᱪᱮᱛᱟᱱ ᱯᱟᱨᱥᱟᱞ ᱟᱠᱟᱱ ᱵᱷᱤᱛᱨᱤ ᱨᱮᱱᱟᱜ ᱴᱚᱴᱷᱟ ᱠᱚ ᱫᱚᱨᱵᱟᱨ ᱢᱮᱱᱟᱜᱼᱟ, ᱠᱷᱟᱹᱞᱤ ᱵᱟᱧᱪᱟᱣ ᱫᱚ ᱦᱩᱰᱤᱧ ᱞᱮᱠᱷᱟᱜ-ᱟ ᱟᱨ ᱠᱳᱣᱟᱜ ᱛᱤᱨᱞᱟ. ( CLM-005 , CLM-009 ) [✓] OBSERVED ᱱᱚᱶᱟ ᱘ ᱪᱟᱸᱫᱚ ᱥᱟᱬᱮᱥᱤᱭᱟᱹ ᱥᱮᱪᱮᱫ ᱡᱟᱱᱩᱣᱟᱨᱤ ᱠᱷᱚᱱ ᱚᱜᱚᱥᱴ ᱒᱐᱐᱘ ᱦᱟᱹᱵᱤᱡ ᱦᱩᱭ ᱞᱮᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱛᱤᱨ ᱟᱨ ᱞᱳᱯᱚᱨᱰ ᱠᱚ ᱢᱩᱸᱫᱽ ᱨᱮ ᱠᱷᱟ.ᱭᱛᱤ ᱯᱩᱨᱟᱣ, ᱵᱤᱭᱚᱢᱮᱥ ᱵᱮᱵᱷᱟᱨ ᱟᱨ ᱠᱷᱟᱠᱞᱤᱠ ᱮᱢᱚᱜ ᱨᱮᱭᱟᱜ ᱥᱤᱞᱮᱠᱴᱤᱵᱷᱤᱴᱤ ᱞᱟ. (8) (2008) ( CLM-001 , CLM-003 ) [✓] OBSERVED ᱱᱤᱞᱜᱤᱨᱤ ᱨᱮ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱡᱚᱡᱚᱢᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱢᱩᱪᱟᱹᱫ ᱟᱨ ᱦᱚᱲ-ᱢᱟᱨᱮ ᱡᱚᱢᱟ ᱠᱚᱱᱯᱷᱞᱤᱠᱴ ᱨᱮᱱᱟᱜ ᱥᱚᱲᱦᱚᱱ ᱞᱟᱹᱜᱤᱫ ᱱᱚᱣᱟ ᱵᱟᱰᱟᱭ ᱫᱚ ᱟᱹᱰᱤ ᱜᱚᱴᱟᱝ ᱱᱟᱝᱜᱽᱨᱟᱦᱟ ᱮ ᱧᱟᱢ ᱟᱠᱟᱱᱟ ᱾ ( CLM-001 , CLM-010 )

ᱡᱟᱱᱟᱢ ᱟᱭᱳᱣᱟᱜ ᱰᱮᱱᱥᱤᱴᱤ ᱨᱮᱭᱟᱜ ᱥᱠᱩᱞ ᱟᱨ ᱵᱟᱭᱚᱢᱮᱥ ᱨᱮᱱᱟᱜ ᱵᱮᱵᱷᱟᱨ

[✓] OBSERVED ᱯᱳᱴᱤᱥᱟᱱᱞ ᱵᱷᱤᱰᱮᱠᱥ ᱪᱟᱥᱤ ᱫᱚ ᱑᱐᱗ ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱥᱟᱸᱜᱷᱟᱨ ᱨᱮ ᱥᱴᱟᱨᱰᱟᱭᱡ ᱟᱠᱟᱱ ᱞᱤᱱ ᱴᱨᱮᱱᱮᱥᱴ ᱥᱮᱢᱯᱮᱞ ᱟᱨ ᱰᱤᱡᱚᱱᱥ ᱥᱚᱣᱟᱭᱴ ᱮᱱᱚᱞᱤᱥ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱠᱚ ᱵᱟᱱᱟᱣ ᱟᱠᱟᱫᱼᱟ ᱾ (107) ( CLM-001 , CLM-002 ) [✓] OBSERVED ᱯᱷᱤᱞᱰ ᱴᱨᱮᱱᱥᱮᱴ ᱠᱚ ᱢᱮᱱ ᱠᱮᱫᱼᱟ ᱡᱟᱦᱟᱸ ᱪᱤᱛᱚᱞ (Axis axis) ᱫᱚ ᱵᱟᱹᱲᱛᱤ ᱜᱮ ᱨᱟᱡᱽᱜᱟᱲ ᱨᱮ ᱢᱮᱱᱟᱜ ᱟᱠᱟᱱ ᱦᱩᱞᱫᱤᱵᱽ ᱯᱟᱨᱚᱢᱚᱱ ᱠᱟᱱᱟ, ᱚᱠᱟ ᱨᱮᱱᱟᱜ ᱥᱚᱨᱮᱥ ᱰᱤᱥᱴᱤ ᱕᱕.᱓ ±᱖.᱒᱘ ᱦᱚᱲ ᱮᱞ ᱢᱤᱫ ᱪᱚᱣᱨᱟ ᱠᱤᱞᱳᱢᱤᱴᱚᱨ ᱨᱮ ᱾ (55.3) (6.28) ( CLM-002 ) [✓] OBSERVED ᱡᱚᱛᱚ ᱞᱮᱝᱜᱩᱥ (ᱯᱨᱮᱥᱵᱭᱛᱤᱥ ᱮᱱᱛᱮᱞᱞᱩᱥ*) ᱫᱚ ᱵᱚᱨᱫᱷᱚᱢ ᱠᱤᱞᱳᱢᱤᱴᱟᱨ ᱨᱮ ᱕.᱙ ±᱓.᱕᱙ ᱜᱚᱴᱟᱝ ᱦᱚᱲ ᱠᱚ ᱛᱟᱦᱮᱸ ᱠᱟᱱᱟ, ᱚᱠᱟᱛᱮ ᱵᱚᱨᱰᱤ ᱜᱟᱣᱨ (ᱵᱚᱥ ᱜᱟᱩᱨᱩᱥ*) ᱫᱷᱟᱣ ᱫᱚ ᱵᱷᱟᱨᱚᱛ ᱫᱤᱥᱚᱢ ᱨᱮᱱᱟᱜ ᱢᱤᱫ ᱦᱟᱥᱟ ᱢᱤᱪᱟᱹᱞᱤ ᱞᱮᱠᱟ ᱛᱮ ᱑᱑.᱔ ±᱒.᱑᱔ ᱜᱚᱴᱟᱱ ᱦᱚᱲ ᱠᱚ ᱦᱩᱭᱩᱜ-ᱟ ᱾ (25.9) (3.59) (11.4) ( CLM-002 ) [✓] OBSERVED ᱥᱚᱢᱵᱟᱨ (ᱪᱮᱨᱵᱷᱩᱥ ᱩᱱᱤᱪᱚᱞᱚᱨ*), ᱵᱷᱮᱠᱴᱚᱨ ᱰᱤᱝᱰ (*ᱢᱩᱱᱛᱤᱟᱪᱩᱥ ᱢᱩᱱᱛᱡᱟᱠ*) ᱟᱨ ᱫᱩᱞᱟᱹᱲ ᱯᱩᱨᱟ (*ᱥᱩᱥ ᱥᱪᱨᱚᱯᱷᱟ*) ᱠᱚᱢ ᱥᱟᱫᱷᱟᱨ ᱨᱮ ᱦᱩᱭ ᱞᱮᱱᱟ ᱾ ᱢᱮᱱᱠᱷᱟᱱ ᱱᱤᱭᱟᱹ ᱫᱚ ᱡᱤᱞᱞᱟ. ( CLM-002 , CLM-005 )

[✓] OBSERVED ᱡᱤᱣᱤ ᱦᱚᱲᱢᱚ ᱨᱮᱱᱟᱜ ᱥᱚᱨᱮᱥ ᱪᱮᱛᱟᱱ ᱛᱮ ᱢᱤᱫᱴᱟᱝ ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱡᱟᱹᱛᱤ ᱠᱚ ᱦᱟᱯᱲᱟᱢ ᱠᱟᱛᱮ ᱘,᱓᱖᱕.᱐᱒ ᱠᱤᱞᱳᱢᱤᱴᱚᱨ ᱯᱨᱚᱠᱨᱮᱴ ᱨᱮ ᱜᱩᱡᱩᱜᱼᱟ ᱾ (8) (365.02) ( CLM-003 ) [✓] OBSERVED ᱱᱚᱣᱟ ᱵᱤᱣᱚᱭᱚᱢᱮᱥᱥ ᱠᱚᱱᱴᱮᱱᱥᱚᱨ ᱫᱚ ᱥᱤᱧᱚᱛ ᱨᱮᱱᱟᱜ ᱥᱟᱢᱟᱝ ᱢᱟᱦᱟᱫᱮᱥ ᱨᱮ ᱡᱟᱹᱛᱛᱤ ᱠᱷᱚᱱ ᱡᱟᱹᱥᱛᱤ ᱴᱷᱟᱶ ᱠᱟᱱᱟ, ᱱᱚᱜᱟᱨᱦᱳᱞ, ᱵᱟᱸᱰᱤᱯᱩᱨ ᱟᱨ ᱯᱮᱱᱪ ᱦᱮᱡ ᱠᱟᱛᱮ ᱾ ( CLM-003 ) [✓] OBSERVED ᱰᱟᱦᱟᱨ ᱟᱨ ᱯᱷᱮᱭᱟᱨ ᱞᱟᱭᱤᱱ ᱨᱮᱱᱟᱜ ᱢᱟᱨᱟᱝ ᱡᱟᱹᱛᱤ ᱫᱚ ᱢᱤᱫ ᱚᱯᱷᱚᱨ-ᱠᱚᱱᱰᱤᱝ ᱠᱷᱟᱴᱚ ᱮᱠᱳᱴᱚᱱ ᱵᱮᱱᱟᱣᱮᱫᱼᱟ ᱾ ᱱᱚᱸᱰᱮᱱ ᱪᱟᱸᱫᱚ ᱫᱷᱟᱹᱨᱛᱤ ᱨᱮ ᱟᱭᱢᱟ ᱥᱮᱨᱢᱟ ᱦᱟᱵᱤᱡ ᱯᱩᱥᱛᱟᱱ ᱟᱹᱨᱤᱪᱟᱹᱞᱤ ᱜᱽᱨᱮᱡᱽ ᱠᱚ ᱨᱚᱲᱼᱮᱫᱼᱟ᱾ ( CLM-002 , CLM-003 ) [✓] OBSERVED ᱯᱚᱨᱤᱯᱷᱮᱨᱟᱞ ᱥᱟᱱᱛᱟᱲ ᱡᱚᱱᱚᱭ ᱨᱮ ᱚᱲᱟᱜ ᱠᱩᱣᱟ ᱠᱚ ᱪᱟᱥ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫᱴᱟᱝ ᱟᱨᱦᱚᱸ ᱟᱰᱤ ᱜᱚᱲᱚ ᱮᱢᱚᱜ ᱠᱟᱱᱟ, ᱢᱮᱱᱠᱷᱟᱱ ᱵᱟᱭᱳᱢᱟᱥ ᱥᱟᱵᱽᱥᱤᱰᱤᱭᱟ. ( CLM-003 , CLM-010 )

ᱮᱠᱚᱨᱢᱟᱱ ᱨᱮᱱᱟᱜ ᱥᱟᱯᱲᱟᱣ ᱛᱮ ᱥᱪᱟᱛ ᱵᱤᱚᱢᱟᱥᱥ ᱢᱚᱫᱮᱞᱤᱱᱜ

[✓] OBSERVED ᱡᱚᱛᱚ ᱠᱷᱚᱱ ᱑᱗᱙ ᱜᱚᱴᱟᱝ ᱛᱤᱜᱽᱨᱟᱹ ᱟᱨ ᱑᱘ ᱜᱚᱴᱟᱱ ᱞᱳᱯᱟᱨᱰ ᱥᱠᱮᱴ ᱫᱚ ᱦᱩᱞ ᱰᱟᱦᱟᱨ, ᱴᱨᱟᱭᱟᱞ ᱟᱨ ᱫᱷᱟᱨᱟ ᱠᱚᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱯᱟᱲᱦᱟᱣ ᱴᱨᱟᱴ ᱨᱮ ᱪᱟᱞᱟᱜ-ᱟ ᱾ (179) (108) ( CLM-001 ) [✓] OBSERVED ᱡᱤᱣᱟᱹᱱ ᱠᱚ ᱫᱚᱨᱭᱟ ᱞᱮᱫᱟ ᱟᱨ ᱢᱟᱭᱠᱨᱟᱥᱚᱯ ᱥᱞᱮᱰ ᱨᱮ ᱪᱤᱠᱤ ᱨᱮᱱᱟᱜ ᱦᱩᱲᱟᱹᱜ ᱮᱢ ᱠᱟᱱ ᱛᱟᱠᱚᱣᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱡᱟᱹᱛᱤ ᱨᱮᱱᱟᱜ ᱵᱟᱰᱟᱭ ᱫᱚ ᱠᱩᱴᱤᱠᱚᱞᱟᱨ ᱥᱠᱟᱞ ᱨᱟᱯᱞᱤᱠ ᱟᱨ ᱢᱮᱫᱩᱞᱟ ᱯᱮᱛᱚᱨ ᱠᱚ ᱢᱩᱪᱟᱹᱫᱽ ᱦᱟᱲᱟᱢ ᱠᱟᱛᱮ ᱦᱩᱭ ᱞᱮᱱᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱥᱠᱮᱴᱥ ᱨᱮ ᱙᱕% ᱫᱚ ᱢᱤᱫ ᱡᱟᱹᱛᱤ ᱨᱮᱱᱟᱜ ᱪᱚᱞᱚᱱ ᱛᱟᱦᱮᱸ ᱠᱟᱱᱟ, ᱟᱨ 5% ᱫᱚ ᱵᱟᱨᱭᱟ ᱡᱟᱹᱛᱤᱭ ᱧᱟᱢ ᱟᱠᱟᱫᱟ ᱾ ᱵᱟᱱᱟᱨ ᱜᱮ ᱵᱟᱨ ᱜᱚᱴᱟᱝ ᱴᱮᱥᱚᱱ ᱠᱷᱚᱱ ᱦᱚᱸ ᱵᱟ. ( CLM-001 )

[↗] MODELLED ᱪᱮᱫᱟᱜ ᱥᱮ ᱥᱠᱮᱴ ᱯᱷᱨᱮᱱᱥᱤ ᱫᱚ ᱢᱟᱨᱟᱝ ᱡᱤᱣᱟᱹᱱ ᱠᱟᱱᱟ, ᱚᱱᱟᱛᱮ ᱚᱱᱚᱞᱤᱭᱟᱹ ᱠᱚ ᱮᱠᱚᱨᱢᱟᱱ ᱨᱮᱱᱟᱜ ᱟᱞᱚᱢᱚᱥᱴᱤᱠ ᱵᱤᱭᱳᱢᱟᱥ ᱨᱚᱜᱽᱨᱮᱥᱤᱭᱚᱱ ᱴᱷᱤᱠᱟᱹᱱᱟ ᱵᱮᱵᱷᱟᱨ ᱠᱮᱫᱟ ᱾ ( CLM-008 ) [↗] MODELLED ᱨᱤᱜᱨᱮᱥᱤᱚᱱ ᱮᱠᱩᱣᱟᱥᱚᱱ, Y = 1.980 + 0.035X, ᱡᱟᱱᱟᱢ ᱞᱮᱱ ᱠᱷᱟᱱ ᱡᱚᱢ ᱟᱠᱟᱱ ᱠᱟᱹᱣᱰᱤ (Y) ᱨᱮᱱᱟᱜ ᱢᱟᱨᱮ ᱴᱷᱟᱶ ᱫᱚ ᱥᱚᱨᱮᱥ ᱜᱚᱡ ᱠᱟᱛᱮ ᱠᱚ ᱦᱤᱥᱤᱫᱼᱟ ᱾ ( CLM-008 ) [↗] MODELLED ᱱᱚᱣᱟ ᱡᱚᱛᱚ ᱥᱟᱯᱲᱟᱣ ᱨᱮ ᱥᱚᱢᱵᱚᱨ ᱫᱚ ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮᱱᱟᱜ ᱛᱤᱜᱽᱨᱟᱹ ᱠᱚᱣᱟᱜ ᱵᱮᱵᱷᱟᱨ ᱟᱠᱟᱱ ᱵᱷᱤᱛᱨᱤ ᱠᱷᱚᱱ ᱔᱓.᱒% ᱦᱤᱥᱟ. (43.2) ( CLM-004 ) [↗] MODELLED ᱚᱲᱟᱜ ᱠᱩᱣᱟ ᱠᱚ ᱫᱚ ᱛᱤᱜᱽᱨᱟᱹ ᱡᱟᱱᱟᱢ ᱟᱠᱟᱱ ᱵᱤᱭᱚᱥᱴ ᱨᱮᱭᱟᱜ 26.2 ᱯᱚᱨᱤᱥᱮᱛ ᱮ ᱦᱟᱢᱟᱞᱮᱫᱼᱟ, ᱢᱮᱱᱠᱷᱟᱱ ᱪᱤᱛᱚᱞ ᱨᱮᱱᱟᱜ ᱞᱮᱠᱷᱟ ᱞᱮᱠᱟᱛᱮ ᱟᱹᱰᱤ ᱜᱟᱱ ᱜᱮ 15.2 ᱯᱟᱨᱥᱮᱛ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ( CLM-004 , CLM-010 )

[≈] ASSOCIATION ᱞᱤᱯᱟᱨᱰ ᱰᱮᱴ ᱨᱮ ᱪᱤᱛᱚᱞ ᱫᱚ ᱡᱚᱛᱚ ᱠᱷᱚᱱ ᱢᱟᱨᱟᱝ ᱵᱤᱭᱚᱢᱮᱥᱥ ᱨᱮᱱᱟᱜ ᱠᱷᱟᱴᱟ ᱮᱢ ᱟᱠᱟᱫᱼᱟ, ᱚᱱᱟ ᱛᱟᱭᱚᱢ ᱥᱟᱢᱵᱚᱨ, ᱚᱛᱱᱚᱜ ᱜᱩᱣᱟ ᱟᱨ ᱫᱷᱟᱹᱨᱛᱤ ᱯᱩᱨᱟᱹᱣ ᱠᱟᱛᱮᱜ ᱾ ( CLM-007 , CLM-010 ) [≈] ASSOCIATION ᱢᱮᱱᱠᱷᱟᱱ ᱥᱮᱞᱮᱠᱴᱤᱵᱷᱤᱡᱽ ᱠᱷᱟᱱᱟᱣ ᱨᱮ ᱞᱳᱯᱟᱨᱰ ᱠᱚ ᱪᱤᱛᱚᱞ ᱨᱮᱱᱟᱜ ᱵᱮᱵᱷᱟᱨ ᱫᱚ ᱚᱱᱟ ᱥᱟᱸᱜᱮ ᱡᱟᱭᱜᱟ ᱠᱷᱚᱱ ᱟᱹᱰᱤ ᱵᱟᱹᱲᱛᱤ ᱜᱮ ᱦᱩᱭᱩᱜᱼᱟ ᱾ ( CLM-007 ) [≈] ASSOCIATION ᱞᱤᱯᱟᱨᱰ ᱠᱚ ᱫᱚ ᱵᱷᱮᱞᱞᱤ ᱥᱟᱜᱽ, ᱥᱟᱢᱵᱚᱨ, ᱡᱮᱜᱮᱛ ᱞᱮᱝᱜᱩ ᱟᱨ ᱚᱲᱟᱜ ᱠᱳᱣᱟᱜ ᱨᱟᱡᱽ ᱨᱮ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱪᱮᱫ ᱞᱮᱠᱟᱛᱮ ᱯᱨᱚᱫᱮᱥ ᱮᱢᱟᱠᱚᱣᱟ ᱾ ( CLM-007 ) [≈] ASSOCIATION ᱛᱤᱜᱽᱨᱟᱹ ᱠᱚ ᱫᱚ ᱥᱚᱢᱵᱟᱨ, ᱵᱷᱮᱞᱰ ᱯᱩᱨᱠᱩ, ᱚᱲᱟᱜ ᱜᱚᱡ ᱟᱨ ᱪᱤᱛᱚᱞ ᱞᱮᱠᱟᱛᱮ ᱢᱟᱨᱟᱝ-ᱥᱟᱹᱨᱫᱟ ᱡᱟᱱᱣᱟ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱠᱷᱟᱴᱚ ᱮᱢᱚᱜ ᱞᱟ. ( CLM-005 )

ᱴᱨᱳᱯᱷᱤᱠ ᱱᱤᱥᱮ ᱥᱩᱵᱟᱨ ᱟᱨ ᱮᱠᱚᱞᱚᱡᱤᱠᱟᱞ ᱥᱮᱨᱮᱧ

[↗] MODELLED ᱛᱤᱜᱟᱨ ᱟᱨ ᱞᱳᱯᱚᱨᱰ ᱠᱚᱣᱟᱜ ᱡᱚᱢᱟᱜ ᱥᱚᱢᱟᱱ ᱫᱚ ᱯᱤᱭᱟᱱᱠᱟ ᱨᱮᱱᱟᱜ ᱱᱤᱥᱮ ᱚᱵᱷᱮᱞᱚᱯ ᱤᱱᱰᱮᱥ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱵᱟᱱᱟᱨ ᱞᱮᱱᱟ, ᱱᱚᱣᱟ ᱫᱚ 0 ᱠᱷᱚᱱ 1 ᱦᱟᱹᱴᱤᱧ ᱨᱮ ᱵᱷᱟᱡᱟ ᱟᱠᱟᱱᱟ ᱾ ( CLM-009 ) [↗] MODELLED ᱵᱟᱨᱭᱟ ᱥᱚᱢᱯᱚᱛᱨᱤ ᱪᱟᱥᱵᱟᱥᱤ ᱠᱚ ᱛᱟᱞᱟᱨᱮ ᱯᱤᱭᱟᱱᱠᱟ ᱤᱱᱰᱮᱥ ᱫᱚ ᱐.᱗᱘ ᱛᱟᱦᱮᱸ ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱦᱟᱹᱴᱤᱧ ᱟᱠᱟᱱ ᱠᱩᱲᱤ ᱜᱚᱡ ᱨᱮ ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱫᱷᱚᱨᱚᱢ ᱥᱟᱢᱨᱟᱡᱽ ᱢᱮᱱᱟᱜᱼᱟ ᱾ (0.78) ( CLM-009 ) [≈] ASSOCIATION ᱰᱤ ᱥᱟᱯᱟᱵ ᱡᱚᱢᱟᱜ ᱨᱮ ᱥᱚᱢᱟᱱ ᱮᱱ ᱠᱷᱟᱹᱛᱤᱨ, ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱛᱟᱞᱢᱟ ᱠᱳᱣᱨᱤᱥᱴ ᱟᱨ ᱜᱷᱚᱴᱚᱱ ᱟᱠᱟᱱ ᱵᱚᱫᱚᱞ ᱫᱚ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱤᱠᱞᱳᱡᱤᱭᱟᱱ ᱢᱮᱠᱟᱱᱥᱢᱮᱸᱡᱽ ᱠᱚ ᱛᱮ ᱦᱚᱨᱚᱜᱼᱟ ᱾ ( CLM-005 , CLM-009 ) [↗] MODELLED ᱛᱤᱜᱟᱨ ᱠᱚᱣᱟᱜ ᱢᱚᱬᱮ ᱜᱟᱱ ᱡᱟᱱᱟᱢ ᱠᱟᱛᱮ, 150 ᱠᱤᱞᱳᱜᱽᱨᱟᱢ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱩᱥᱩᱞ ᱟᱠᱟᱱ ᱢᱟᱨᱟᱝ ᱪᱷᱚᱛᱤᱥ ᱮ ᱵᱟᱪᱟᱣ ᱨᱮ ᱥᱯᱮᱥᱤᱭᱟᱞ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱶᱟ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱢᱟᱨᱮ ᱥᱮᱸᱵᱚᱨ ᱟᱨ ᱚᱛᱱᱚᱜ ᱠᱩᱣᱟ। ( CLM-004 , CLM-005 )

[≈] ASSOCIATION ᱞᱤᱯᱟᱨᱰ ᱠᱚᱫᱚ ᱮᱴᱟᱜ ᱞᱮᱠᱟᱛᱮ, ᱵᱷᱮᱞᱞᱤ ᱥᱩᱠ ᱟᱨ ᱫᱷᱟᱨᱮ ᱨᱮ ᱡᱚᱢᱟᱱ ᱧᱟᱢᱚᱜ ᱞᱮᱠᱟᱱ ᱢᱟᱲᱟᱝ ᱪᱟᱥ ᱟᱜ ᱚᱛ ᱦᱟᱥᱟ ᱨᱮ ᱟᱹᱰᱤ ᱜᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱛᱮ ᱠᱚ ᱵᱟᱬᱛᱤ ᱾ ( CLM-007 ) [✓] OBSERVED ᱟᱨᱦᱚᱸ, ᱞᱤᱯᱟᱨᱰ ᱠᱚ ᱫᱚ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱵᱷᱟᱜᱽᱨᱚᱝ ᱴᱷᱟᱶ ᱨᱮ ᱛᱤᱨᱞᱟᱹ ᱠᱚ ᱥᱟᱶ ᱡᱚᱲᱟᱣ ᱨᱮᱭᱟᱜ ᱜᱚᱴᱟ ᱥᱩᱵᱤᱫᱷᱟ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ( CLM-001 , CLM-007 ) [✓] OBSERVED ᱫᱤᱱ ᱨᱮ ᱞᱤᱯᱟᱨᱰ ᱠᱟᱹᱢᱤ ᱨᱮᱱᱟᱜ ᱪᱮᱛᱟᱱ ᱟᱨ ᱧᱤᱫᱟ ᱛᱷᱚᱠ ᱨᱮ ᱴᱟᱭᱜᱽᱨᱩ ᱯᱚᱴᱚᱨᱞ ᱠᱚ ᱢᱩᱫᱽ ᱨᱮ ᱚᱠᱛᱮ ᱨᱮᱭᱟᱜ ᱵᱤᱥᱮᱥ ᱫᱚᱦᱚ ᱠᱟᱛᱮ ᱥᱟᱹᱜᱩᱱ ᱟᱭᱳᱱᱤᱠ ᱮᱢᱚᱜ ᱠᱚ ᱦᱤᱡᱩᱜᱼᱟ ᱾ ( CLM-001 , CLM-009 )

ᱦᱚᱨᱚᱡᱤᱠ ᱥᱤᱢᱟᱹ, ᱡᱟᱱᱣᱟ ᱠᱚᱣᱟᱜ ᱞᱟᱦᱟ ᱟᱨ ᱩᱫᱩᱜ ᱥᱚᱦᱚᱫ ᱠᱟᱹᱢᱤ

[✓] OBSERVED ᱠᱩᱥᱤᱭᱟᱜ ᱠᱚ ᱫᱚ ᱥᱮᱫᱟᱭ ᱧᱮᱞᱚᱜ ᱟᱠᱟᱱ ᱵᱷᱮᱜᱟᱨ ᱦᱚᱨᱟ ᱟᱨ ᱯᱟᱹᱪᱷᱤᱢ ᱵᱟᱰᱚᱦᱤ ᱨᱮᱭᱟᱜ ᱞᱟᱵᱷᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱪᱟᱞᱟᱣ ᱟᱠᱟᱫᱼᱟ ᱾ ( CLM-001 ) [i] CONTEXT ᱥᱩᱨ ᱨᱮ ᱦᱩᱭᱩᱜ ᱠᱟᱱ ᱪᱟᱥᱪᱟᱣ ᱠᱚᱨᱮ ᱮᱛᱚᱢᱼᱯᱟᱹᱪᱷᱤᱢ ᱱᱟᱝᱜᱽᱨᱟᱦᱟ ᱢᱳᱱᱥᱚᱱ ᱚᱠᱛᱮ ᱨᱮ ᱵᱟᱭ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱡᱟᱸᱦᱟᱭ ᱥᱮᱨᱢᱟ ᱨᱮᱱᱟᱜ ᱫᱮᱵᱤᱡ ᱵᱮᱲᱟᱣᱟᱞ ᱨᱮᱭᱟᱜ ᱯᱚᱨᱚᱵᱷᱟ ᱫᱚ ᱵᱟᱹᱧᱪᱚᱞᱚᱜᱼᱟ ᱾ (ᱱᱚᱣᱟ ᱯᱟᱲᱦᱟᱣ ᱨᱮᱭᱟᱜ ᱥୀᱢᱟ ᱠᱷᱟᱹᱛᱤᱨ ᱵᱟᱹᱲᱛᱤ ᱧᱮᱞ ᱵᱮᱜᱚᱨ ᱥᱚᱡᱷᱮ কারণ ᱵᱟᱝ ᱯᱩᱥᱴᱟᱹᱣ ᱟᱠᱟᱱᱟ) ᱾ ( CLM-006 ) [i] CONTEXT ᱥᱠᱮᱴ ᱦᱟᱥᱟ ᱨᱮᱱᱟᱜ ᱤᱱᱥᱮᱞᱤᱥ ᱫᱚ ᱠᱟᱹᱢᱤ ᱡᱚᱡᱚᱢᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱜᱩᱨ ᱟᱨ ᱵᱷᱩᱞᱤᱜᱟᱱ ᱢᱟᱨᱟᱝ ᱪᱚᱞᱚᱱ ᱟ. ᱫᱷᱟ. ᱨᱤᱭᱟ. ᱛᱟᱞᱢᱟ ᱨᱮ ᱵᱟᱭ ᱮᱢᱚᱜᱼᱟ ᱾ (ᱱᱚᱣᱟ ᱯᱟᱲᱦᱟᱣ ᱨᱮᱭᱟᱜ ᱥୀᱢᱟ ᱠᱷᱟᱹᱛᱤᱨ ᱵᱟᱹᱲᱛᱤ ᱧᱮᱞ ᱵᱮᱜᱚᱨ ᱥᱚᱡᱷᱮ কারণ ᱵᱟᱝ ᱯᱩᱥᱴᱟᱹᱣ ᱟᱠᱟᱱᱟ) ᱾ ( CLM-006 ) [✓] OBSERVED ᱚᱱᱟᱛᱮ, ᱵᱟᱡᱟᱨ ᱨᱮᱭᱟᱜ ᱥᱩᱨ ᱨᱮ ᱡᱤᱣᱤᱫᱷᱟᱱ ᱨᱮᱱᱟᱜ ᱢᱩᱬ ᱦᱟᱹᱴᱤᱧ ᱫᱚ ᱟᱹᱰᱤ ᱜᱮ ᱵᱚᱸᱜᱟ ᱛᱟᱞᱢᱟ ᱠᱷᱚᱱ ᱵᱮᱥ ᱠᱟᱛᱷᱟ ᱠᱚ ᱪᱮᱠᱟᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ ( CLM-010 )

[↗] MODELLED ᱒.᱑᱐ ᱡᱟᱹᱛᱤ ᱠᱚᱣᱟᱜ ᱢᱟᱨᱮ ᱯᱟᱥᱱᱟᱣ (26) ( CLM-004 , CLM-010 ) [✓] OBSERVED ᱢᱩᱸᱫᱽᱨᱤ ᱜᱟᱰᱟ ᱠᱚᱣᱟᱜ ᱪᱷᱟᱹᱴᱤᱭᱟᱹᱜ ᱡᱤᱞᱤᱧ ᱫᱚ ᱵᱳᱠᱥ ᱯᱚᱴᱚᱡᱮᱱ ᱠᱚ ᱮᱢᱟᱭᱟ, ᱥᱮᱫᱟᱭ ᱨᱮᱱ ᱨᱤᱯᱮᱨ ᱟᱨ ᱠᱷᱟ. ( CLM-010 ) [✓] OBSERVED ᱯᱟᱨᱠ ᱢᱮᱱᱡᱚᱨ ᱠᱚ ᱫᱚ ᱥᱚᱱᱮᱨ ᱰᱤᱵᱷᱤᱡᱟᱱᱴ ᱨᱤᱱ ᱡᱚᱦᱚᱜ-ᱥᱩᱪᱟᱹᱫ ᱟᱱ ᱪᱟᱯᱟᱞ ᱵᱮᱱᱟᱣ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱟᱨ ᱵᱟᱹᱭᱨᱤ ᱩᱛᱟᱹᱨ ᱨᱮ ᱞᱟᱹᱜᱤᱫ ᱥᱚᱝᱜᱚᱴᱮᱫ ᱛᱤᱨᱞᱟᱹ ᱟᱹᱰᱤ ᱜᱟᱱ ᱦᱟᱹᱴᱤᱧ ᱨᱮᱱᱟᱜ ᱠᱤᱥᱟᱹᱬ ᱠᱚ ᱮᱢ ᱫᱟᱲᱟᱣ ᱫᱟᱲᱟᱢ ᱾ ( CLM-010 ) [✓] OBSERVED ᱢᱟᱨᱟᱝ ᱠᱟᱹᱴᱤᱡ ᱠᱚᱣᱟᱜ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱥ ᱥᱚᱢᱵᱚᱫᱷᱟᱱ ᱨᱮᱭᱟᱜ ᱨᱟᱯᱚᱲ ᱟᱨ ᱪᱟᱞᱟᱣ ᱟᱠᱟᱱ ᱯᱚᱨᱥᱟᱥᱚᱱᱤᱠ ᱮᱢᱚᱜ ᱫᱚ ᱡᱟᱭᱜᱟ ᱨᱮᱱ ᱦᱚᱲ ᱠᱚ ᱵᱟᱧᱪᱟᱣ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ ( CLM-010 )

[✓] OBSERVED ᱫᱟᱜ ᱦᱩᱰᱤᱧ ᱠᱚ ᱛᱮᱭᱟᱨ ᱟᱨ ᱪᱟᱥᱵᱟᱥᱟ ᱨᱮᱱᱟᱜ ᱥᱤᱨᱡᱚᱱ ᱠᱟᱛᱮ ᱢᱚᱬᱮ ᱜᱚᱴᱟᱝ ᱥᱟᱢᱵᱟᱨ ᱟᱨ ᱜᱳᱨᱟ ᱡᱟᱭᱜᱟ ᱠᱚ ᱫᱚᱦᱚ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱰᱤ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱵᱷᱤᱛᱨᱤ ᱨᱮ ᱯᱟᱹᱴᱷᱩᱣᱟᱹ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ( CLM-002 , CLM-003 ) [✓] OBSERVED ᱟᱭᱢᱟ ᱪᱟᱸᱫᱚ ᱨᱮ ᱚᱴᱚᱢᱤᱰᱟᱥᱴᱤᱠ ᱠᱮᱢᱟᱨᱟ ᱯᱷᱚᱨᱯ, ᱮᱠᱩᱥᱴᱤᱥ ᱥᱮᱱᱪᱚᱨ ᱟᱨ ᱡᱤᱱᱤᱡᱽ ᱥᱮᱠᱛᱚᱞᱳᱡᱤᱭᱟ ᱥᱟᱶᱛᱮ ᱞᱟᱝᱜᱷᱤᱴᱩᱰᱟᱱᱞ ᱢᱚᱱᱤᱴᱚᱨ ᱫᱚ ᱯᱨᱚᱛᱤᱵᱷᱟ ᱨᱮᱭᱟᱜ ᱦᱟᱹᱴᱤᱧ ᱠᱚ ᱱᱟᱯᱟᱭ ᱛᱮᱭᱟᱨᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱡᱤᱞᱤᱧ ᱵᱳᱭᱚᱢᱮᱥᱥ ᱰᱮᱱᱥᱤᱵᱷ ᱫᱚ ᱥᱴᱨᱤᱠᱴᱚᱨ ᱮᱱᱴᱨᱚᱪᱟᱸᱡᱽ ᱨᱮ ᱜᱚᱴᱟᱝ ᱪᱮᱛᱟᱱ ᱚᱞ-ᱦᱟᱹᱲᱤᱡ ᱵᱟᱡᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱫᱟᱲᱮ ᱧᱮᱞᱚᱜᱼᱟ ᱾ ( CLM-001 , CLM-003 ) [✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ, ᱵᱟᱱᱰᱤᱯᱩᱨ ᱟᱨ ᱣᱚᱭᱱᱟᱰ ᱛᱷᱚᱠ ᱨᱮ ᱟᱹᱨᱤᱪᱟᱹᱞᱤ ᱜᱟᱰᱟ ᱠᱚ ᱫᱚᱦᱚ ᱠᱟᱛᱮᱜᱮ ᱡᱮᱜᱮᱫ ᱨᱮᱱᱟᱜ ᱡᱚᱛᱚ ᱠᱷᱚᱱ ᱢᱟᱨᱟᱝ ᱫᱤᱞᱞᱤ ᱦᱟᱣᱱ ᱦᱚᱲ ᱮᱞ ᱨᱮᱭᱟᱜ ᱩᱛᱚᱨ ᱯᱨᱚᱜᱽᱲᱟᱶ ᱫᱚᱦᱚ ᱦᱩᱭᱩᱜᱼᱟ ᱾ ( CLM-001 , CLM-009 ) [✓] OBSERVED ᱯᱟᱪᱮ ᱜᱷᱟᱴᱥ ᱵᱩᱨᱩ ᱠᱚᱢᱯᱞᱮᱥ ᱫᱚ ᱢᱤᱫ ᱵᱟᱝ ᱦᱟᱹᱡᱩᱜ ᱠᱟᱱ ᱡᱤᱣᱤ ᱰᱟᱦᱟᱨ ᱠᱟᱱᱟ, ᱚᱠᱟ ᱫᱚ ᱢᱟᱨᱟᱝ ᱮᱱᱮᱡ ᱟᱠᱟᱱ ᱪᱤᱠᱤ ᱡᱚᱢ ᱦᱚᱲ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱰᱤ ᱥᱟᱸᱜᱮ ᱜᱮᱭᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱥᱮᱨᱢᱟ ᱨᱮ ᱢᱚᱱᱥᱩᱱ ᱨᱚᱯᱚᱲ ᱫᱚ ᱰᱷᱮᱨᱜᱟᱨ ᱜᱮᱭᱟ ᱾ ᱯᱟᱪᱷᱤᱢ ᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱥᱟᱠᱟᱢ ᱴᱚᱴᱷᱟ ᱠᱚᱨᱮ ᱒᱐᱐᱐ ᱢᱤᱞᱤᱢᱤᱴᱚᱨ ᱠᱷᱚᱱ ᱪᱩᱨᱩᱵᱽ ᱨᱮᱱᱟᱜ ᱞᱚᱞᱚ ᱴᱚᱴᱷᱟᱱ ᱨᱮ ᱘᱐᱐ ᱢᱮᱞᱤᱢᱤଟᱚᱨ ᱵᱟᱭ ᱦᱤᱡᱩᱜᱼᱟ ᱾ (2) (000) (800) ( CLM-001 , CLM-003 )

[✓] OBSERVED ᱪᱟᱪᱞᱟᱣ ᱟᱠᱟᱱ ᱵᱚᱸᱜᱽᱲᱩ ᱯᱷᱨᱟᱢᱥ (*ᱵᱟᱢᱵᱩᱥᱟ ᱟᱨᱩᱱᱫᱤᱱᱟᱪᱮᱟ*) ᱫᱚ ᱡᱤᱞᱤᱧ ᱟᱨ ᱠᱟᱹᱣᱰᱤ ᱜᱚᱡ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱛᱩᱨ ᱚᱠᱛᱮ ᱨᱮ ᱢᱤᱫ ᱢᱟᱨᱟᱝ ᱥᱤᱨᱯᱷᱟ. ( CLM-002 , CLM-003 ) [i] CONTEXT ᱡᱟᱦᱟᱸ ᱠᱟᱹᱢᱤ ᱠᱚ ᱵᱟᱰᱟᱭ ᱧᱟᱢᱚᱜᱼᱟ ᱚᱱᱟ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ: (ᱱᱚᱣᱟ ᱯᱟᱲᱦᱟᱣ ᱨᱮᱭᱟᱜ ᱥୀᱢᱟ ᱠᱷᱟᱹᱛᱤᱨ ᱵᱟᱹᱲᱛᱤ ᱧᱮᱞ ᱵᱮᱜᱚᱨ ᱥᱚᱡᱷᱮ কারণ ᱵᱟᱝ ᱯᱩᱥᱴᱟᱹᱣ ᱟᱠᱟᱱᱟ) ᱾ ( CLM-006 , CLM-010 ) [✓] OBSERVED ᱢᱚᱠᱨᱳᱥᱯᱤᱠᱟᱞ ᱥᱠᱮᱴ ᱤᱱᱥᱯᱮᱱᱪᱚᱨ ᱨᱮ, ᱚᱸᱰᱮᱱᱟᱜ ᱠᱷᱟᱡᱽᱱᱟ ᱠᱚ, ᱦᱩᱲᱩᱵᱽ, ᱜᱟᱺᱦᱤᱨ ᱟᱨ ᱫᱟᱲᱮ ᱧᱟᱢ ᱞᱮᱱ ᱡᱟᱦᱟᱸ ᱫᱚ ᱪᱷᱚᱛᱤᱥᱜᱚᱲ ᱨᱮᱱᱟᱜ ᱩᱢᱮᱨ ᱛᱟᱞᱢᱟ ᱨᱮᱭᱟᱜ ᱯᱟᱹᱛᱭᱟᱹᱣ ᱞᱟᱹᱜᱤᱫ ᱮ ᱥᱚᱫᱚᱨ ᱟᱠᱟᱱᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱦᱮᱲᱮ ᱠᱚᱴᱤᱠᱩᱞ ᱨᱮᱱᱟᱜ ᱪᱟᱥ ᱨᱮ ᱠᱮᱞᱤᱵᱷᱳᱨᱚᱡ ᱮᱥᱤᱭᱮᱴ ᱯᱚᱞᱤᱥ ᱤᱱᱯᱨᱮᱱᱥ ᱫᱚ ᱞᱟᱦᱟᱱᱛᱤ ᱯᱷᱚᱨᱢᱮᱸᱠᱥ ᱢᱟᱭᱠᱨᱟ-ᱥᱟᱶᱟᱨᱤ ᱰᱤᱡᱤᱝᱜᱽᱮᱥᱚᱱ ᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱧᱟᱢ ᱞᱮᱫᱼᱟ ᱾ ( CLM-001 , CLM-008 ) [✓] OBSERVED ᱙᱐ ᱠᱤᱞᱳᱜᱨᱟᱢ ᱠᱷᱚᱱ ᱡᱟᱹᱥᱛᱤ ᱢᱟᱨᱟᱝ ᱥᱤᱸᱫᱽᱨᱟ ᱠᱚ ᱫᱚ ᱟᱭᱢᱟ ᱜᱟᱱ ᱨᱟᱡᱽᱟᱹᱨᱤᱭᱟᱹ ᱠᱟᱱᱟ ᱾ ᱱᱩᱠᱤᱱ ᱨᱮᱱ ᱛᱤᱨᱞᱟᱹ ᱠᱚᱣᱟᱜ ᱞᱟᱦᱟ ᱛᱮ ᱚᱲᱟᱜ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ (900) ( CLM-002 , CLM-005 ) [✓] OBSERVED ᱡᱚᱛᱚ ᱞᱮᱝᱜᱩᱨ ᱟᱞᱚᱢ ᱵᱷᱮᱠᱴᱚᱨ ᱫᱚ ᱵᱟᱰᱟᱭᱚᱜᱼᱟ, ᱪᱟᱥ ᱠᱟᱹᱣᱰᱤ ᱠᱚ ᱛᱟᱞᱟᱨᱮ ᱢᱟᱨᱟᱝ ᱠᱟᱛᱷᱟ ᱠᱚ ᱢᱮᱱᱟᱜ-ᱟ ᱾ ᱱᱚᱶᱟ ᱛᱮ ᱯᱩᱡᱟ ᱥᱟᱶ ᱥᱟᱹᱜᱩᱱ ᱨᱮᱱᱟᱜ ᱰᱤᱱᱟᱢᱤᱠ ᱵᱮᱵᱷᱟᱨ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱾ ( CLM-002 , CLM-007 )

[✓] OBSERVED ᱠᱟᱱᱴᱚᱨᱞ ᱟᱠᱟᱱ ᱯᱟᱪᱷᱤ ᱚᱛ ᱦᱟᱹᱵᱤᱡ ᱡᱷᱟᱨᱱᱟ ᱠᱚ ᱵᱟᱦᱟᱞ ᱠᱟᱛᱮ ᱜᱩᱲᱟᱹᱜ ᱨᱮᱱᱟᱜ ᱪᱮᱬᱮ ᱫᱚ ᱥᱚᱢᱯᱚᱛᱤ ᱜᱮᱭᱟ ᱾ ᱱᱚᱶᱟ ᱛᱮᱫᱚ ᱰᱟᱦᱟᱨ ᱨᱮᱭᱟᱜ ᱮᱱᱮᱡ ᱨᱮ ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱪᱤᱛᱚᱞ ᱥᱟᱢᱟᱝ ᱴᱷᱟᱶ ᱠᱚ ᱧᱟᱢᱚᱜᱼᱟ ᱾ ( CLM-002 , CLM-003 ) [✓] OBSERVED ᱯᱚᱠ ᱪᱟᱪᱞᱟᱣ ᱨᱮᱱᱟᱜ ᱛᱤᱨᱞᱟ. ᱠᱚ ᱫᱩᱣᱮᱞ ᱫᱚ ᱢᱤᱫᱴᱮᱱ ᱯᱷᱮᱰᱤᱰ ᱥᱟᱶ ᱥᱟᱹᱜᱩᱱ ᱨᱮ ᱡᱟᱦᱟᱸᱭ ᱥᱟᱸᱵᱟᱨ ᱟᱨ ᱪᱤᱛᱟᱞ ᱮᱢᱚᱜᱼᱟ ᱚᱱᱟ ᱵᱟᱦᱨᱮ ᱠᱟᱛᱮᱜ ᱩᱛᱱᱟᱹᱝ ᱟᱫᱷᱤᱠᱚᱨᱚᱱ ᱨᱮᱭᱟᱜ ᱜᱚᱴᱟᱝ ᱦᱟᱹᱴᱤᱧ ᱠᱚ ᱵᱮᱨᱮᱫ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱠᱚ ᱥᱮᱱᱚᱜ-ᱟ ᱾ ( CLM-001 , CLM-005 ) [✓] OBSERVED ᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱛᱟᱞᱟ ᱨᱮ ᱢᱮᱱᱟᱜ ᱠᱳᱣᱨᱤᱥᱴᱤ ᱠᱚᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱮᱠᱳ-ᱵᱷᱮᱡᱟᱣ ᱠᱟᱛᱮᱜ ᱥᱚᱢᱟᱱ ᱠᱚ ᱵᱮᱱᱟᱣᱟ ᱾ ( CLM-010 ) [≈] ASSOCIATION ᱵᱟᱝ ᱯᱟᱨᱟᱢᱮᱴᱨᱤᱠᱟᱞ ᱵᱩᱴᱥᱴᱨᱚᱯᱤᱝ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱥᱟᱱᱛᱟᱲᱤ ᱛᱮᱭᱟᱨ ᱠᱮᱫᱼᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱪᱟᱪᱞᱟᱣ ᱨᱮᱱᱟᱜ ᱛᱷᱟᱹᱠᱛᱤ ᱨᱮᱫᱚ ᱚᱱᱚᱞᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱞᱟᱹᱜᱤᱫ ᱴᱷᱟᱶ ᱜᱮ ᱛᱟᱦᱮᱸᱱᱟ ᱾ ( CLM-005 , CLM-007 ) [✓] OBSERVED ᱢᱳᱭᱟᱨ ᱫᱟᱨᱮ ᱨᱮ ᱟᱭᱢᱟ ᱥᱮᱨᱢᱟ ᱦᱟᱥᱟ ᱡᱟᱜᱟ ᱫᱚ ᱵᱷᱩᱞᱟᱹᱲ ᱨᱤᱱᱤᱡ ᱪᱚᱞᱚᱱ ᱨᱮᱱᱟᱜ ᱚᱠᱛᱚ ᱨᱮ ᱟᱹᱰᱤ ᱱᱟᱯᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱜᱚᱴᱟᱝ ᱦᱚᱭᱫᱚᱨᱚᱞᱤᱠ ᱡᱤᱭᱚᱱ ᱠᱟᱱᱟ ᱾ ( CLM-001 , CLM-003 ) [✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱠᱷᱚᱱ ᱡᱟᱹᱛᱤᱭᱟᱹᱨᱤ ᱨᱟᱡᱽᱰᱟᱦᱟᱨ ᱠᱚᱨᱮ ᱟᱹᱰᱤ ᱥᱟᱸᱜᱮ ᱧᱤᱫᱟᱹ ᱪᱚᱞᱚᱱ ᱠᱟᱱ ᱜᱚᱵᱷᱮᱞᱠᱳᱣᱟᱜ ᱩᱯᱨᱩᱢ ᱫᱚ ᱵᱮᱢᱟᱨᱤᱭᱟᱞ ᱵᱷᱟᱭᱞᱰ ᱯᱷᱮᱭᱟᱨᱥ ᱟᱨ ᱰᱟᱦᱟᱨ ᱨᱮ ᱥᱮᱱᱚᱜ ᱦᱚᱲ ᱠᱚ ᱵᱟᱧᱪᱟᱣ ᱮᱱᱟ ᱾ ( CLM-001 , CLM-010 )

[✓] OBSERVED ᱵᱟᱝ-ᱮᱯᱷᱚᱡᱮᱞᱟᱠᱟᱱ ᱯᱷᱮᱥᱟᱞ ᱰᱤ ᱮᱱ ᱮ ᱡᱤᱱᱳᱴᱟᱭᱯᱤᱝ ᱫᱚ ᱫᱤᱥᱚᱢ ᱨᱮ ᱟᱸᱜᱽᱞᱟᱹ ᱟᱨ ᱞᱤᱭᱩᱯᱟᱨᱰ ᱠᱚᱣᱟᱜ ᱥᱟᱹᱜᱩᱱᱤᱭᱟᱹ ᱱᱤᱡᱮᱨ ᱦᱤᱥᱟᱹᱵ ᱛᱮ ᱵᱟᱱᱟᱣ ᱦᱩᱭᱩᱜᱼᱟ ᱾ ( CLM-001 ) [✓] OBSERVED ᱵᱷᱮᱞᱞᱤ ᱥᱩᱠ ᱟᱨ ᱯᱚᱴᱟᱰ ᱦᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱨᱟᱯᱲᱟᱣ ᱴᱚᱨᱱᱮᱵᱽ ᱫᱚ ᱡᱚᱢᱟᱜ ᱦᱚᱲ ᱠᱚᱣᱟᱜ ᱞᱟᱹᱭ ᱛᱮ ᱟᱥᱚᱞ ᱠᱷᱟᱫᱟᱱ ᱪᱤᱠᱤ ᱨᱮᱭᱟᱜ ᱥᱟᱢᱟᱝ ᱨᱮ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ ( CLM-002 , CLM-007 ) [✓] OBSERVED ᱞᱟᱱᱴᱟ ᱠᱮᱢᱟᱨᱟ* ᱴᱷᱩᱵᱽᱥᱟᱹ ᱠᱚ ᱩᱫᱩᱜ ᱥᱚᱫᱚᱨ ᱠᱟᱛᱮ ᱟᱹᱨᱤᱪᱟᱹᱞᱤ ᱜᱚᱡ ᱟᱠᱟᱱ ᱡᱤᱞᱤᱧ ᱪᱚᱞᱚᱱ ᱫᱚ ᱨᱤᱱᱤᱡ ᱦᱚᱱᱚᱛ ᱨᱮᱱᱟᱜ ᱯᱷᱟᱭᱱᱟᱛᱤᱠ ᱪᱟᱞᱟᱣ ᱮ ᱧᱟᱢ ᱟᱠᱟᱫᱼᱟ, ᱱᱚᱶᱟ ᱛᱮ ᱢᱳᱣᱱᱚᱜᱽᱞᱟ ᱵᱟᱜᱟᱱ ᱨᱮ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ ᱾ ( CLM-002 , CLM-003 ) [✓] OBSERVED ᱛᱟᱢᱤᱞᱱᱟᱰᱩ, ᱠᱟᱨᱱᱟᱴᱟᱠᱟ ᱟᱨ ᱠᱮᱨᱚᱞᱟ ᱥᱮᱫ ᱵᱷᱚᱨᱛᱟᱞᱤ ᱡᱤᱭᱟᱹᱞᱤ ᱡᱤᱭᱚᱱ ᱨᱮᱱᱟᱜ ᱥᱟᱯᱲᱟᱣ ᱫᱚ ᱮᱸᱜᱽᱨᱟᱡᱤᱠ ᱯᱟᱨᱠ ᱨᱤᱱᱤᱡ ᱩᱫᱩᱜ ᱥᱚᱫᱚᱨ ᱟᱠᱟᱱᱟ ᱾ ( CLM-001 , CLM-009 ) [≈] ASSOCIATION ᱪᱮᱭ ᱯᱷᱚᱨᱢ ᱠᱚ ᱥᱩᱨ ᱨᱮ ᱯᱨᱚᱥᱚᱞ ᱞᱤᱯᱟᱨᱰ ᱥᱟᱞᱟᱜ ᱵᱮᱱᱟᱣ ᱟᱠᱟᱱ ᱨᱟᱰᱤᱭᱳ ᱴᱮᱞᱤ ᱢᱮᱴᱨᱤ ᱠᱮᱞᱟᱨ ᱫᱚ ᱮᱱᱮᱡ ᱜᱟᱹᱦᱤᱨᱤᱭᱟᱹ ᱥᱟᱶ ᱡᱚᱱᱚᱲᱟᱣ ᱠᱷᱚᱱ ᱵᱟᱧᱪᱟᱣ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ ᱾ ( CLM-007 ) [✓] OBSERVED ᱯᱟᱨᱠ ᱨᱮᱭᱟᱜ ᱢᱩᱪᱟᱹᱫ ᱨᱮ ᱥᱚᱵᱷᱤᱰᱤᱭᱚᱨ ᱥᱮᱨᱮᱧ ᱥᱤᱠᱷᱱᱟᱹᱛ ᱪᱟᱥ ᱠᱚ ᱵᱮᱱᱟᱣ ᱠᱟᱛᱮ ᱵᱷᱟᱨᱚᱛ ᱡᱟᱱᱣᱟ ᱞᱮᱠᱷᱟ ᱞᱮᱠᱟᱱᱟᱜ ᱜᱚᱡ ᱟᱲᱟᱝ ᱞᱮᱠᱟᱱ ᱠᱳᱨᱱᱮᱥᱚᱱ ᱠᱷᱚᱱ ᱵᱟᱦᱟᱞᱚᱜᱼᱟ ᱾ ( CLM-002 , CLM-010 )

[✓] OBSERVED ᱢᱩᱫᱩᱢᱟᱞᱟᱭ ᱨᱮᱭᱟᱜ ᱡᱤᱣᱤᱫᱷᱟᱱ ᱥᱚᱢᱵᱚᱥᱛᱟ ᱫᱚᱦᱚ ᱠᱟᱛᱮᱜᱮ ᱤᱱᱰᱤᱭᱟ ᱨᱮᱱᱟᱜ ᱪᱮᱬᱮ ᱨᱮᱱ ᱵᱤᱨᱜᱟᱹᱞ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱛᱮ ᱱᱚᱶᱟ ᱟᱹᱨᱤᱪᱟᱹᱞᱤ ᱜᱮᱭᱟ ᱾ ( CLM-001 , CLM-003 , CLM-009 )

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ᱯᱨᱚᱢᱟᱱ ᱟᱨ ᱥᱟᱹᱠᱷᱭᱟᱹᱛ ᱧᱮᱞ ᱢᱮ: 📋 ᱯᱨᱚᱢᱟᱱ →

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.

License: CC BY 4.0 | Work ID: WORK-IND-2009-0170

Public Government & Statutory Research Portals

📘 STUDY-SPECIFIC TERMINOLOGY (5 CONCEPTS) #Carnivore Ecology#Prey Selection#Tiger Conservation

Scientific Terminology Aids

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).

ᱥᱤᱯᱷᱴᱨᱤᱠ ᱮᱯᱮᱠᱥ ᱠᱟᱨᱱᱤᱵᱚᱨ (Sah-Aavasiya Shirsh Mansahari) • Sympatric Apex Carnivores ▾
ᱥᱤᱯᱷᱴᱨᱤᱠ ᱮᱯᱮᱠᱥ ᱠᱟᱨᱱᱤᱵᱚᱨ [Sah-Aavasiya Shirsh Mansahari] — Sympatric Apex Carnivores
ᱢᱟᱨᱟᱝ ᱡᱟᱹᱛᱤ ᱠᱚ ᱠᱟ ᱵᱚᱝᱜᱚᱞ ᱛᱤᱜᱚᱨ ᱟᱨ ᱥᱤᱧᱚᱛᱤᱭᱟᱹ ᱞᱟᱭᱯᱟᱨᱰ ᱢᱤᱫ ᱚᱠᱛᱚ ᱨᱮ ᱮᱴᱟᱜ ᱴᱚᱴᱷᱟ ᱨᱮᱱᱟᱜ ᱪᱟᱥᱵᱟᱥᱤ ᱨᱤᱡᱮᱨᱟᱣ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱᱟ ᱾
CSTT Ref Code: CSTT-ECOL-0921-SAT
ᱰᱤᱴᱮᱨᱤ ᱡᱤᱞᱟᱹ ᱨᱮᱱᱟᱜ ᱯᱟᱨᱴᱤᱝ (Aahar Niket Vibhajan) • Dietary Niche Partitioning ▾
ᱰᱤᱴᱮᱨᱤ ᱡᱤᱞᱟᱹ ᱨᱮᱱᱟᱜ ᱯᱟᱨᱴᱤᱝ [Aahar Niket Vibhajan] — Dietary Niche Partitioning
ᱡᱟᱦᱟᱸ ᱨᱮ ᱛᱤᱜᱩ ᱠᱚ ᱢᱟᱨᱟᱝ-ᱥᱟᱹᱨᱫᱤ ᱪᱟᱥᱤ (ᱜᱟᱩᱨ, ᱥᱟᱢᱵᱟᱨ) ᱟᱨ ᱞᱳᱯᱚᱨᱰ ᱠᱚ ᱮᱱᱮᱡ ᱟᱠᱟᱱ ᱛᱟᱞᱢᱟ ᱞᱮᱠᱷᱟ ᱨᱮᱱᱟᱜ ᱪᱟᱥ (ᱪᱦᱤᱛᱟᱞ, ᱞᱟᱱᱜᱩᱨ) ᱵᱟᱭ ᱦᱟᱹᱴᱤᱧ ᱠᱮᱫᱼᱟ ᱾
CSTT Ref Code: CSTT-ECOL-0844-SAT
ᱵᱤᱳᱢᱮᱥᱟ ᱵᱮᱵᱷᱟᱨ ᱢᱚᱰᱮᱞ (Jaivabhar Upbhog Samikaran) • Biomass Consumption Model ▾
ᱵᱤᱳᱢᱮᱥᱟ ᱵᱮᱵᱷᱟᱨ ᱢᱚᱰᱮᱞ [Jaivabhar Upbhog Samikaran] — Biomass Consumption Model
ᱮᱠᱚᱨᱢᱟᱱ ᱨᱮᱱᱟᱜ ᱨᱤᱜᱨᱮᱥᱚᱱ ᱠᱳᱨᱤᱠᱮᱴ ᱫᱚ ᱡᱚᱢ ᱟᱠᱟᱱ ᱠᱤᱞᱚ ᱜᱽᱨᱤᱰᱷᱤ ᱨᱮᱱ ᱠᱚᱲᱟ ᱵᱟᱹᱭᱥᱤ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨᱚᱜᱼᱟ ᱾
CSTT Ref Code: CSTT-STAT-0572-SAT
ᱯᱤᱭᱟᱱᱠᱟ ᱨᱮᱱᱟᱜ ᱡᱤᱞᱤᱧ ᱪᱮᱛᱟᱱ ᱥᱩᱯᱨᱚᱥᱚᱱ (Pianka Niche Overlap Soochkank) • Pianka's Niche Overlap Index ▾
ᱯᱤᱭᱟᱱᱠᱟ ᱨᱮᱱᱟᱜ ᱡᱤᱞᱤᱧ ᱪᱮᱛᱟᱱ ᱥᱩᱯᱨᱚᱥᱚᱱ [Pianka Niche Overlap Soochkank] — Pianka's Niche Overlap Index
ᱢᱤᱫ ᱞᱮᱠᱟᱱ ᱪᱮᱛᱟᱱ (ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱟᱝ ᱡᱚᱢᱟᱜ) ᱠᱷᱚᱱ ᱑ (ᱵᱷᱟᱹᱜᱤ ᱫᱟᱠᱟ) ᱦᱟᱹᱴᱤᱧ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱣᱟ ᱪᱮ᱐ᱟᱱ ᱨᱮ ᱥᱟᱱᱟᱢ ᱥᱟᱶᱼᱥᱟᱶᱟᱨ ᱟᱭᱳᱣᱟᱜ ᱛᱟᱞᱢᱟ ᱡᱤᱞᱞᱟ. (0) (1)
CSTT Ref Code: CSTT-STAT-0589-SAT
ᱦᱟᱭᱯᱚᱨ-ᱵᱷᱮᱰᱮᱥᱚᱱ ᱟᱨ ᱯᱤᱲᱟ ᱥᱩᱪᱤᱝ (Shikar-Sthanantaran Vyavahar) • Hyper-Predation & Prey Switching ▾
ᱦᱟᱭᱯᱚᱨ-ᱵᱷᱮᱰᱮᱥᱚᱱ ᱟᱨ ᱯᱤᱲᱟ ᱥᱩᱪᱤᱝ [Shikar-Sthanantaran Vyavahar] — Hyper-Predation & Prey Switching
ᱡᱟᱦᱟᱸ ᱚᱠᱛᱚ ᱨᱮ ᱢᱩᱬᱩᱛ ᱵᱷᱤᱵᱽᱞᱳᱜᱟ ᱠᱚᱣᱟᱜ ᱦᱚᱲ ᱮᱞ ᱠᱚ ᱦᱟᱹᱴᱤᱧᱚᱜ ᱠᱷᱟᱱ, ᱯᱟᱨᱚᱢᱤᱭᱟᱹ ᱟᱥᱟᱢ ᱨᱮᱭᱟᱜ ᱪᱮᱛᱟᱱ ᱫᱚ ᱠᱷᱟ.
CSTT Ref Code: CSTT-ZOOL-0803-SAT

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."
Source Anchor: Results - Table 1 Prey Density, p. 170, 174
[✓] [OBSERVED] CLM-003 • observed in study
"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."
Source Anchor: Results & Discussion - Prey Biomass, p. 170, 173, 179
[↗] [MODELLED] CLM-004 • modelled result
"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."
Source Anchor: Results - Table 2 Tiger Diet Composition, p. 170, 175
[≈] [ASSOCIATION] CLM-005 • estimated association
"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."
Source Anchor: Results - Table 4 & Discussion, p. 177, 179
[i] [CONTEXT] CLM-006 • editorial context
"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."
Source Anchor: Results - Tables 2 & 3, p. 175-176, 179