Wildland fires and moist deciduous forests of Chhattisgarh, India: divergent component assessment

B. H. Kittur , S. L. Swamy , S. S. Bargali , Manoj Kumar Jhariya

Journal of Forestry Research ›› 2014, Vol. 25 ›› Issue (4) : 857 -866.

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Journal of Forestry Research ›› 2014, Vol. 25 ›› Issue (4) : 857 -866. DOI: 10.1007/s11676-014-0471-0
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Wildland fires and moist deciduous forests of Chhattisgarh, India: divergent component assessment

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Abstract

We studied moist deciduous forests of Chhattisgarh, India (1) to assess the effect of four levels of historic wildland fire frequency (high, medium, low, and no-fire) on regeneration of seedlings in fire affected areas during pre and post-fire seasons, (2) to evaluate vegetation structure and diversity by layer in the four fire frequency zones, (3) to evaluate the impact of fire frequency on the structure of economically important tree species of the region, and (4) to quantify fuel loads by fire frequency level. We classified fire-affected areas into high, medium, low, and no-fire frequency classes based on government records. Tree species were unevenly distributed across fire frequency categories. Shrub density was maximum in zones of high fire frequency and minimum in low-frequency and no-fire zones. Lower tree density after fires indicated that regeneration of seedlings was reduced by fire. The population structure in the high-frequency zone was comprised of seedlings of size class (A) and saplings of size class (B), represented by Diospyros melanoxylon, Dalbergia sissoo, Shorea robusta and Tectona grandis. Younger and older trees were more abundant for Tectona grandis and Dalbargia sissoo after fire, whereas intermediate-aged trees were more abundant prefire, indicating that the latter age-class was thinned by the catastrophic effect of fire. The major contributing components of fuel load included duff litter and small woody branches and twigs on the forest floor. Total fuel load on the forest floor ranged from 2.2 to 3.38 Mg/ha. The net change in fuel load was positive in high- and medium-frequency fire zones and negative under low- and no-fire zones. Repeated fires, however, slowly reduced stand stability. An ecological approach is needed for fire management to restore the no-fire spatial and temporal structure of moist deciduous forests, their species composition and fuel loads. The management approach should incorporate participatory forest management. Use of controlled fire, fire lines and mapping of fire prone areas are fundamental principles of fire hazard reduction in these areas.

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forest fire / diversity / fuel load / vegetation structure

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B. H. Kittur, S. L. Swamy, S. S. Bargali, Manoj Kumar Jhariya. Wildland fires and moist deciduous forests of Chhattisgarh, India: divergent component assessment. Journal of Forestry Research, 2014, 25(4): 857-866 DOI:10.1007/s11676-014-0471-0

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References

[1]

Arno SF. The historical role of fire on the Bitterroot National Forest. Research Patent INT-187. 1976, Missoula, MT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station

[2]

Bargali SS, Rana BS, Rikhari HC, Singh RP. Population structure of Central Himalayan blue pine (Pinus wallichiana) forest. Environment and Ecology, 1989, 7: 431-436.

[3]

Bargali SS, Tewari JC, Rawat YS, Singh SP. Pangty Y P S, Joshi S C. Woody vegetation in high elevation blue-pine mixed oak forest of Kumaun Himalaya, India. Western Himalaya: Environment, Problems and Development. 1987, Nainital: Gyanodaya Parakashan, 121 155

[4]

Champion HG, Seth SK. A Revised Survey of the Forest Types of India. 1968, New Delhi: Manager of Publications, Government of India, 404.

[5]

Clark JS. Fire and climate change during the last 750 years in northwestern Minnesota. Ecological Monographs, 1990, 60: 135-159.

[6]

Connell JH. Diversity in tropical rain forests and coral reefs. Science, 1978, 199: 1302-1310.

[7]

Covington WW, Moore MM. Southwestern ponderosa forest structure, changes since Euro-American settlement. Journal of Forestry, 1994, 92: 39-47.

[8]

Curtis JT, McIntosh RP. The interrelations of certain analytic and synthetic phytosociological characters. Ecology, 1950, 31: 434-455.

[9]

van Danielle OF, Markus H, de Patrick O J, de Rein W. Effect of tree species on within-forest distribution of understorey. Annual Review of Ecology and Systematics, 2005, 18: 431-451.

[10]

Gill M, Woinarski J, York A. Australia’s biodiversity responses to fire. Biodiversity technical report No. 1, Environment Australia, 1999

[11]

Gubbi S. Fire burning. Deccan Herald, daily news, Bangalore. India, 2003

[12]

Hegde V, Chandran MD, Gadgil M. Variation in bark thickness in a tropical forest community of Western Ghats in India. Functional Ecology, 1998, 12: 313-318.

[13]

Schmerbeck J, Hiremath A. Schmerbeck J, Hiremath A, Ravichandran C. Forest fires in India: Dealing with the issue — The project, India. Forest fires in India — Workshop proceedings. 2007, Madurai, India: Pillar Human Resource Development Centre, 5 8

[14]

Hörnburg L, Östlund L, Zackrisson O, Bergman I. The genesis of two Piceacladina forests in northern Sweden. Journal of Ecology, 1999, 87: 800-814.

[15]

Jha CS. Land use and vegetation analysis of dry tropical forest region. 1990, Varanasi, India: Banaras Hindu University

[16]

Jhariya MK, Bargali SS, Swamy SL, Kittur B. Vegetational structure, diversity and fuel load in fire affected areas of tropical dry deciduous forests in Chhattisgarh. Vegetos, 2012, 25(1): 210-224.

[17]

Knight DH. A phytosocioligical analysis of species-rich-tropical forest on Barro Colorado Island; Panama. Ecological Monograph, 1975, 45: 259-284.

[18]

Malamud BD, Morein G, Turcotte DL. Forest fires: an example of self-organized critical behavior. Science, 1998, 281: 1840-1842.

[19]

Marglef DR. Information theory in ecology. General Systems Yearbook, 1958, 3: 36-71.

[20]

Miller M. Wildland fire in ecosystems, effects of fire on flora, 2000 257.

[21]

Molofsky J, Augspurger CK. The effect of leaf litter on early seedling establishment in a tropical forests. Ecology, 1992, 73(1): 68-77.

[22]

Naidu CV, Srivasuki KP. Effect of forest fire on tree species on different areas of Aeshachalam Hills. Journal of Tropical Forestry, 1994, 10(3): 56-64.

[23]

Östlund L, Zackrisson O, Axelsson AL. The history and transformation of a Scandinavian boreal forest landscape since the 19th century. Canadian Journal of Forest Research, 1997, 27: 1198-1206.

[24]

Otto R, García-del-Rey E, Muñoz PG, Fernández-Palacios JM. The effect of fire severity on first-year seedling establishment in a Pinus canariensis forest on Tenerife, Canary Islands. European Journal of Forest Research, 129(4): 499–508.

[25]

Phillips EA. Methods of Vegetation. 1959, New York, USA: Henry Holt and Claremont

[26]

Pielou EC. The measurement of diversity in different types of biological collections. Journal of Theoretical Biology, 1966, 13: 131-144.

[27]

Rikhari HC, Bargali SS. Shrub layer composition in different forest ecosystems of Kumaun Himalaya. Vegetos, 1989, 2(2): 195-200.

[28]

Saha S. Anthropogenic fire regime in a deciduous forest of central India. Current Science, 2002, 82(9): 1144-1147.

[29]

Saxena AK, Singh JS. Tree population structure of central Himalayan forest associations and implications concerning their future composition. Vegetatio, 1984, 58(2): 61-69.

[30]

Schindele W, Thoma W, Panzer K. The forest fire 1982/3 in East Kalimantan Part 1: The fire, the effects, the damage and technical solutions. FR-Report No. 5. Investigation of the steps needed to rehabilitate the areas of East Kalimantan seriously affected by fire. 1989, Jakarta: German Forest Inventory Service Ltd. for German Agency for Technical Cooperation (GTZ) and International Tropical Timber Organization (ITTO)

[31]

Shannon CE, Weaver W. The Mathematical Theory of Communication. 1963, Urbana, USA: University of Illinois Press

[32]

Simpson EH. Measurment of diversity. Nature, 1949, 163 688

[33]

Singh JS, Singh VK. Phenology of seasonally dry tropical forest. Current Science, 1992, 63(11): 684-689.

[34]

Singh L, Puri S, Bargali SS. Biodiversity and importance of some lesser known woody species of Moist Deciduous Forest of Achanakmar-Amarkantak Biosphere Reserve. The Botanica, 2006, 56: 97-103.

[35]

Swaine MD, Hall JB, Alexander CJ. Tree population dynamics at Kade, Ghana (1968–1982). Journal of Tropical Ecology, 1987, 3: 331-345.

[36]

Swamy SL, Dutt CBS, Murthy MSR, Mishra A, Bargali SS. Floristics and dry matter dynamics of Tropical Wet Evergreen Forests of Western Ghats, India. Current Science, 2010, 99(3): 353-364.

[37]

Tripathi BC, Rikhari HC, Bargali SS, Rawat YS. Species composition and regeneration in disturbed forest sites in the oak zone in and around Nainital. Proceedings of Indian National Science Academy, 1991, 57: 381-390.

[38]

Wanthongchai K, Goldammer JG, Bauhus J. Effects of fire frequency on prescribed fire behaviour and soil temperatures in dry dipterocarp forests. International Journal of Wildland Fire, 2010, 20(1): 35-45.

[39]

West DC, Shugart HH Jr, Ranney JW. Population structure of forest cover in a large area in the boreal Swedish forest. Forest Science, 1981, 27: 701-710.

[40]

Whittaker RH. Evolution and measurement of species diversity. Taxon, 1972, 21: 213-251.

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