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Dynamics of the Maniyari River and its meandering nature inside Achankmar Tiger Reserve Area, Chhattisgarh, India: A geospatial analysis

XV World Forestry Congress, 2-6 May 2022









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    Projection modeling-based geospatial analysis of land use-land cover change at Hasdeo River Watershed, Chhattisgarh, India
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The land-use change in the Hasdeo River watershed has been observed with all its subwatersheds. The changing patterns may portend localized impairment to forest and agricultural watershed. In this study, Land-use land-cover (LULC) change was modeled using terrset modeling software. The Hasdeo river watershed (geographical extent of 10,396.373 km2) is a part of the Mahanadi River basin in Chhattisgarh, India. Hasdeo River originates from Sonhat (Koriya district, Chhattisgarh, India) and is submerged into the river Mahanadi. It flows in the stretch of 330 km from north to south direction. This river has eight subwatersheds with rich forest diversity and perennial water resources. IRS-1D & P6 LISS3 images from the years 2000 and 2013 were used to investigate the LULC pattern. This has been used for the prediction of LULC change patterns for the years 2035 and 2050 based on the Markov model. The result of the project LULC map for the year 2000-2035 and 2000-2050 shows that the dense forest area will decrease by 12.30% and 15.68% respectively. The settlement area will significantly increase by 20.13% (2035) and 34.90% (2050) and will be the dominant land-use type in the watershed. It shows that population pressure will directly affect forest vegetation and agriculture activities. This study will be helpful for the effective sustainability approach for maintaining the proper LULC pattern of LULC pattern of land-use change in the watershed. This changing pattern will also influence the farming pattern in the catchment area of the Hasdeo River watershed. Keywords: Adaptive and integrated management, Deforestation and forest degradation, Landscape management, Monitoring and data collection, Sustainable forest management ID: 3487496
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    Mitigation of climate change effects in Godavari River Basin through forestry interventions
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The Godavari River has immense environmental, religious, cultural and socio-economic significance for the people of India. The Godavari River basin is the second largest in India and is home to 98.4 million people, who directly or indirectly depend on the river and its tributaries for their livelihood needs. In fact, the river is a life line for the seven beneficiary states and their riparian communities. Exponential population growth and the associated rapid all-round developments along river course, degradation of forests in the catchment areas and riparian zones, change in rainfall regime due to climate change are some of the factors that have affected both the water flow regime and the quality of water in Godavari River. Forests provide large climate change mitigation opportunity at relatively lower costs, along with other significant co-benefits. Keeping this in mind, the Indian Council of Forestry Research and Education, under the aegis of Ministry of Environment, Forest and Climate Change, Government of India, has prepared a ‘Detailed project report for restoration of Godavari River through forestry interventions’. Through extensive stakeholder consultations and the usage of modern tools of Geographic Information System and Remote sensing, 849 sq km stressed area has been identified along the main stem Godavari and ten of its major tributaries for forestry intervention. The project is expected to increase forest cover over an area of 653 sq km and improve forest cover over another 196 sq km. The potential benefits likely to accrue from the project includes carbon sequestration to the tune of 13.55 million tonnes of CO2 eq over ten years, ground water recharge to the tune of 215 million cubic meter per year, sediment reduction to the tune of 404 thousand cubic meter per year, generation of non- timber forest produce to the tune of Rs.1310 million per year, besides generating 27 million man-days of employment opportunities for riverscape communities. Keywords: [River restoration, Deforestation, Forest degradation, Landscape management, Climate change] ID: 3623068
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    Tiger occupancy in Ratapani landscape: What is the reason behind tiger presence in proximity of capital Bhopal, Madhya Pradesh, India?
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Bhopal city (AIPC 2011- 1,798,218) capital of Madhya Pradesh state, India situated in fertile plain of Malwa Plateau in vicinity of the Vindhyan ranges. The total studied forest area was around 4620.84 sq. km of Vindhyan landscape. Working plan of Bhopal circle 1983-98 clearly stated about 19 tiger's presence (1980 WL census). SFRI, Jabalpur estimated 9 tigers after the 35 years based on camera trap in 2016 acknowledge the presence of historical tiger population in proximity of Bhopal. Tiger occupancy survey was performed from Dec 2018 to Apr 2019 to estimate the overall occupancy rate Ψ on presence software version 13.6. The occupancy survey across the study area of a total 5312 (sq.km), segment distribution was 83 grid cells (size 64 sq.km). The detected tiger sign in 49 out of 83 grid cells was confirmed, which yielded naïve occupancy of 0.5904. The tiger occupied estimated potential tiger habitat is 70.83% of the total study area, or an area of 3762.48 (SE=482.34) out of 5312(sq.km) Ratapani-Kheoni Landscape. In contrast, a naïve estimate derived from the traditional 'presence-versus-absence' approach is only 3136.20 sq.km and underestimated true occupancy by 59.04%. The best-fitted model is Hines model under which ψ (Cattle+Ruggedness),θ(.),θ'(.), pt (Nilgai+Water) model has shown the lowest AIC (value-1144.59) among 44 models. The model-specific β(beta) Coefficient estimate for covariates determining the Tiger occupancy in Ratapani-Kheoni landscape is tiger β0(SE*β0+)- 0.52(0.61). The rugged terrain, abundant perennial water availability and Nilgai/Cattle presence were influencing historical tiger population in proximity of Bhopal by occupancy modelling. Keywords: Ratapani-Kheoni Landscape (RKL), Tiger Conservation, Critical Tiger Habitat, naïve Occupancy, Akaike Information Criteria (AIC). ID: 3486773

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