Thumbnail Image

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









Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Article
    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
    2022
    Also available in:
    No results found.

    The Achanakmar Tiger Reserve (ATR) is an integral part of Achanakmar-Amarkantak Biosphere reserve (AABR) covering a total area of 914.017 sq. km. The Maniyari River flowing through the reserve area is known to be its life line. It originates from core zone (Sihawal sagar) of ATR and merges in Seonath river of Mahanadi Basin. It flows through Mungeli and Bilaspur districts for about 105 km. This river provides water seasonally to its catchment (6-8 months) and flows more than half of its length (approx. 60 km) inside the reserve area. Its catchment area has rich biodiversity of tree species. Shorea robusta being the dominant tree species of the area followed by tree species like Terminalia tomentosa, Diospyros melanoxylon, Adina cordifolia, Pterocarpus marsupium, Madhuca indica, Anogeissus latifolia, Tectona grandis (plantation) and Bamboo (Dendrocalamus strictus). A geospatial analysis was performed to understand the course of Maniyari River inside ATR area encompassing a period of fourteen years during 2000 to 2013. Imageries from Indian Remote Sensing (IRS) satellite 1D and P6 images for years 2000, 2004, 2008, 2010 and 2013 and Survey of India toposheets were analyzed to study the changes in planform characteristics of Maniyari River. The meander shift of the river has been delineated taking into consideration the reach’s R1 (11.61 km), R2 (11.19 km), R3 (5.33 km) and R4 (5.02 km) respectively. Sinuosity Index (SI) for different reaches have been calculated and evaluated. The SI ranged from 1.40 to 1.63, 1.20 to 1.29, 1.17 to 1.37, and 1.20 to 1.49 in R1, R2, R3 and R4 respectively and the amount of shifting was analyzed taking the year 2000 as a base year. The overall SI for all the reach’s ranges between 1.30 to 1.36.The present study will be helpful to understand the river dynamics as well as to maintain the flow of Maniyari River and prevent bank line erosion. The study will be helpful for the conservation of river flow and its tributaries in the ATR area of Central India. Keywords: Achanakmar Tiger Reserve (ATR), River Maniyari, Meander, LISS III, Sinuosity Index, Geospatial analysis. ID:3487479
  • Thumbnail Image
    Article
    Forest succession by space and time based on climate and landuse changes
    XV World Forestry Congress, 2-6 May 2022
    2022
    Also available in:
    No results found.

    This research predicted the transition of forest structure by analyzing changes in the dominant vegetation and spatial distribution based on climate and land use changes. The research region involves the mountainous and city vicinity located in Okcheon-gun, Korea. Climate change detailing was carried out until 2100 by employing the SSP2-4.5 scenario and the MaxEnt model was used to predict the land cover change. The data stemming from the above were applied to the Landis-II model. The analysis of forest changes was performed based on the years 2050 and 2100 that showed the most dramatic prediction results of climate changes. Comparing to 2020, the mean minimum temperature fell down by 0.45°C in 2050 and increased by about 0.96°C in 2100. The mean maximum temperature increased by about 0.31°C in 2050 and about 1.96°C in 2100. In the prediction of land cover change, mountainous region exhibited a decreased tendency of agricultural lands in 2050 and 2100, and region city vicinity showed a decrease in residential lands, demonstrating very small land cover changes of the forest in both regions. As for the predicted vegetation change, both regions showed a decrease in the dominant area of Pinus densiflora, Pinus Koraiensis, and Pinus rigida, on the other hand, showing an increase in the dominant area of Quercus serrate, Quercus variabilis, and Quercus aliena. In conclusion, the future forest vegetation of two regions showed a decreased tendency in the alien species that could not reproduce under natural conditions, tree species that grow in cold climate regions, and the reforestaion species that were planted due to a necessity of human beings, whereas the area of Quercus species, which are mainly distributed to a relatively warm climate, increased. Therefore, in order to determine tree species for restoration where interfered nature and area that need logging, it should be decided based on the predicted vegetation change in a given area to maximize the forest function. Keywords: Forest transition; Climate change; Landuse change; LANDIS-II; Sustainable forest management ID: 3621835
  • Thumbnail Image
    Article
    Modeling CO2 restoration potential of mangrove ecosystems in Pakistan to support urban green spaces and human well-being
    XV World Forestry Congress, 2-6 May 2022
    2022
    Also available in:
    No results found.

    Abstract: Pakistan is facing major climate change challenges since in recent years, the annual mean temperature has increased by 0.5°C in the country. Karachi is the largest city and highly vulnerable to fatal heatwave events trolling maximum deaths and illness in recent years. Coast of Mangrove Forest (MF) plays an important role in daily temperature, local environment, and microclimatic conditions. It is a well-established scientific reality that carbon traps heat in the air, and now observing a dramatic rise in temperature. The study aimed to evaluate the vulnerability of the communities to heat-stress, and categorize the role of Mangrove Ecosystem Services to mitigate future disasters. Coupled models and GIS/RS tools were used to estimate the suitability of MF land-cover to categorize the latent status. Heatwaves during summer for three days were calibrated by the models which resulted that an inundation of CO2 stress factors, 250 (S-u=1.0) with a rise in temperature up to 44°C with 70% humidity causes more deaths under heat-periods. Our results linked heatwaves with climate warming and extreme weather events, aggravated by rapid urbanization, industrialization, deforestation, emission of CO2, degradation of MF, and land-use change. Moreover, findings revealed that there is a significant drop-off in urban greenspaces and growth in built-up areas during 1984-2016. In addition, the SILVA-model projected that MF around the city has the ability to absorb CO2 emission up to 55.4 million tons. SILVA-growth projected that 43.61% CO2 stock can be deposited by MF which contributes 19% of the ecosystem. Model showcase that rehabilitation of 30-mangrove trees per/100m2 possibly reduce the extreme tide of heat stress, tsunami, CO2, and improve the air-quality index of the city. This study provides initial assessment and policy directions to rehabilitate MF to promote sustainable cities and societies. Key Words: CO2, urban green spaces, disaster risk reduction, extreme weather events ID: 3471412

Users also downloaded

Showing related downloaded files

No results found.