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Classification of Tiger Habitat Types in Huai Kha Khaeng Wildlife Sanctuary

This project aims to classify the vegetation types in Huai Kha Khaeng Wildlife Sanctuary and analyze the correlations between tiger occupancy and these vegetation types. Data from Landsat 5, tiger occupancy surveys, and other spatial data were used. The results of the classification and occupancy analysis provide valuable insights for tiger conservation efforts in the sanctuary.

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Classification of Tiger Habitat Types in Huai Kha Khaeng Wildlife Sanctuary

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  1. Tiger Habitat Types: Classification of Vegetation PornkamolJornburom and Katie Purdham KwanchaiWaitanyakan WCS Thailand Program

  2. Outline • Background • Objectives • Data Used • Method • Classification • Tiger Occupancy Survey • Results • Conclusion

  3. FOREST RESOURCES • Forest cover 28% of land area • Protected area system 15% of land area - National parks (102); wildlife sanctuaries (44) • National Forest & Forest plantations ~10% Area Background GENERAL INFOMATION • Land Area 513,000 km2 (198,000 mi2) • (larger than California but less than Texas) • Current population = 64 million

  4. Area Background HuaiKhaKhaeng WS. • Area 2,780 sq.km • The major vegetation types - Tropical evergreen forest - Mixed deciduous forest • Elevations ranged from 200-1,560 msl. • 20 Park ranger stations • > 30 villages located around

  5. Project Goals • Classify vegetation type in the HKK area • Analyze correlations between tiger occupancy and vegetation types • Look into other possible explanations for tiger occupancy (elevation, presence of streams, etc.)

  6. Data • Landsat 5 (NDVI) • April/May 2011 • Landsat 5 (Classification) • 2004 Dry Season • Tiger Occupancy Data • November, 2010- May, 2011 • Other Spatial Data (DEM, streams, villages) • Department of National Park, Wildlife, and Plant Conservation

  7. Methods Image classification • NDVI • Mosaic • Unsupervised Classification • Preprocessed • K means, 9 classes, 15 iterations, convergence threshold of .95

  8. Results Unsupervised Classification NDVI

  9. Methods Map Survey Index of WEFCOM Tiger occupancy survey

  10. Methods Tiger occupancy survey The proportion of sites occupied by species the  or  “the probability that a site within a groups of sites is occupied” incorporated with detection probability. - Occupancy    - Detection  probability • Sign-based survey • Large landscape

  11. Methods 6 4 5 3 1 2 • Replicate scale • Probability of habitat use Asingle season custom spatial correlation model To investigate the tiger’s habitat-use within certain land cover types, each1-km transect was treated as the ‘site’ while the 100-meter segments represented ‘replicates. When a sign of tigers is found at one replicate, successive replicates will have a much higher probability of the tigers being present than those farther away.

  12. Methods Ecological variables • Forest type • NDVI • Elevation • Streams • Village • Ranger Station • Substrate

  13. Results Estimates of B coefficient estimates for the logit link function a is defined as the probability that tiger signs are present on a spatial replicate given that spatial replicate b, is defined as the probability that tiger signs are present on the spatial replicate given that spatial replicate is occupied and tiger sign was present on the previous spatial replicate

  14. Accuracy Assessment Dry evergreen forest Hill evergreen forest Bamboo forest Mixed deciduous forest Dry dipterocarpforest

  15. Discussion and Future Projects • Tiger Occupancy Data • Landsat5 • More and Better Data • Habitat Suitability Map

  16. Discussion and Future Projects Khao Nang Ram Wildlife Research Station, Thailand

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