Enter records

ID: 65931
Title: Assessment of agricultural land area lost due to Brahmaputra riverbank line erosion in Assam
Author: J. Goswami V. Senpakapriya K. K. Sarma S. P. Aggarwal
Editor: S.K.Satheesh
Year: 2024
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 127 (1) 20-22 10 July (2024)
Subject: Assessment of agricultural land area lost due to Brahmaputra riverbank line erosion in Assam
Keywords: None
Abstract: The River Brahmaputra is characterized by its exceedingly large flow, enormous volume of sediment load, continuous changes in channel morphology, rapid bed aggradations, bank line recession and erosion. Heavy rainfall, associated with severe flooding, excessive siltation and migration of river channels, causes erosion on both sides of the Brahmaputra river. The river has a braided channel in most of its course in the alluvial plains of Assam, and the river flows through 21 districts of the state. The braided nature, lateral changes in channels and continuous migration of rivers cause severe erosion along the banks, leading to a considerable loss of good fertile land each year. Shear failure due to undercutting upper bank materials during high flooding and over-steepening of bank materials also leads to bank failures in both the banks1–3 . Damages caused by erosion run into several hundred crores every year. Bank erosion by the rivers has been a serious issue for the last six decades as more than 4.27 lakh hectares (ha) of land have already been eroded by the River Brahmaputra and its tributaries since 1950, which is 7.40% of the area of the state. As assessed, the annual average loss of land is nearly 8000 ha. The width of the River Brahmaputra has increased to 15.00 km in some places due to bank erosion (https:// waterresources.assam.gov.in/portlets/flooderosion-problems).
Location: T E 15 New Biology building
Literature cited 1: Sarkar, A., Garg, R. D. and Sharma, N., J. Water Resour. Prot., 2012. Sarma, J. N. and Acharjee, S., Earth Syst. Dyn. Discuss., 2012, 3(2), 1085–1106.
Literature cited 2: Debnath, J. et al., Geosci. Front., 2023, 14(4), 101557. Gogoi, C. and Goswami, D. C., Int. J. Eng. Sci., 2013, 2(9), 1–6.

ID: 65930
Title: Propelling Indian economy through space exploration and applications
Author: Darshan Deshpande, Sibsankar Palit and Subhajit Hazra
Editor: S.K.Satheesh
Year: 2024
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 127 (1) 17-19 10 July (2024)
Subject: Propelling Indian economy through space exploration and applications
Keywords: None
Abstract: The performance of the global economy is supposed to be ruled by the economies of each country1 . With this, the economic instability that countries experience during global crises creeps in, as evident from the Global Economic Outlook Report 2020, which emphasized how the COVID-19 pandemic affected the global economy2 . However, when it comes to the space economy, countries seem to show resilient support for multiple reasons, as evidenced by research from Morgan Stanley, which expects the global space industry to grow into a US$ 1.1 trillion market by 2040, from about US$ 350 billion in 2016 (ref. 3). One of the reasons is that the various space stakeholders use a sustainable approach to space research. For example, in scenarios where stakeholders from one country specialize in cost-effective satellite launches, support other countries to launch their satellites into orbit, thereby reducing resource wastage and effective utilization of financial resources. Other reasons include investor sentiments, which lead to volatility in the stock market (changes in support and resistance), thus affecting the returns4 . Such an effect was not seen in the space industry, as the effect of support and resistance on the overall share market did not affect the space companies due to most of them not being listed in popular stock exchanges, for example, SpaceX and Skyroot Aerospace Private Limited5 . This resulted in an ultimate decline in costs for space-based ventures, resulting in the realization of the very celebrated aspiration of ‘SPACE FOR ALL’, as obvious from making spacesuits for women3 , which earlier were not a priority
Location: T E 15 New Biology building
Literature cited 1: Baten, J., A History of the Global Economy, Cambridge University Press, Germany, 2016. World Bank, Global Economic Prospects, June 2020; https://www.worldbank.org/en/publication/global-economic-prospects (accessed on 29 June 2024).
Literature cited 2: Morgan Stanley, Designing a more inclusive future for space exploration, 2022; https://www.morganstanley.com/ideas/ womens-space-suit-access-1-concept-suit (accessed on 29 June 2024). Griffith, J., Najand, M. and Shen, J., J. Behav. Finance, 2020, 21(1), 42–56.

ID: 65929
Title: Hundred years of research on Drosophila ananassae has revealed a number of unusual features of this species
Author: Bashisth N. Singh
Editor: S.K.Satheesh
Year: 2024
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 127 (1) 14-16 10 July (2024)
Subject: Hundred years of research on Drosophila ananassae has revealed a number of unusual features of this species
Keywords: None
Abstract: Drosophila ananassae was originally described by Doleschall in 1858 from Ambon Island in Indonesia. This species came into notice when Morgan, Bridges and Sturtevant compiled data in a volume entitled ‘The Genetics of Drosophila’ in 1925 as D. caribbea Sturtevant in the chapter ‘other species of Drosophila’. Kikkawa in 1935 verified D. caribbea as D. ananassae. The first mutation in this species was curved wing, an autosomal recessive gene on II chromosome reported by Sturtevant in 1921. Since then D. ananassae has been utilized extensively for different kinds of studies and results of these studies conducted during the last hundred years have clearly revealed that D. ananassae is genetically unique species and stands distinct from other species of the genus Drosophila. The important unusual features of this species are: spontaneous meiotic male recombination, presence of chiasmata in males, high mutability, optic morphology hyper mutability system, absence of genetic coadaptation, Y-4 linkage of nucleolus organizer, high frequency of pericentric inversions and translocations, population substructing, parthenogenesis, extra chromosomal inheritance, incipient sexual isolation, inversion karyotypes and mate recognition system, spontaneous genetic mosaic, segregation distortion, lack of correlation between crossing-over and chromosome distance between inversions, rare male mating advantage, trait and sex specific fluctuating asymmetry, female and male remating and sperm displacement, speciation in south Pacific populations, association with a bacterium Wolbachia, variation in resistance to environmental stress, nutrition regulated stress resistance, correlation between inversion karyotypes and mating propensity and phylogenetic relationship with its sibling D. pallidosa which is in statu nascendi
Location: T E 15 New Biology building
Literature cited 1: Doleschall, C. L., Natrk. Tijdschr. Nederland Indie, 1858, 17, 73–128. Morgan, T. H., Bridges, C. B. and Sturtevant, A. H., Bibliogr. Genet., 1925, 2, 1– 262.
Literature cited 2: Kikkawa, H., Proc. Imp. Acad. Tokyo, 1935, 11, 62–65. Sturtevant, A. H., Proc. Natl. Acad. Sci. USA, 1921, 7, 235–237.

ID: 65928
Title: Emerging human–otter conflicts in the wetlands and rivers of Kerala, India
Author: K. K. Jayasooryan and P. K. Chandini
Editor: S.K.Satheesh
Year: 2024
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 127 (1) 13-13 10 July (2024)
Subject: Emerging human–otter conflicts in the wetlands and rivers of Kerala, India
Keywords: None
Abstract: A congregation of local daily wage earners, house wives, fishermen and children was held at the small town of Mukkam in Kozhikode district of Kerala on 2 October 2023. The meeting was organized by the local conservationist group to address the issue related to the recently emerging human– otter conflict in the Iruvazhinji river. Most of the people who had gathered were victims of otter bites and a few fishermen who lost fishing nets due to otter attacks.
Location: T E 15 New Biology building
Literature cited 1: Belanger, M. et al., IUCN Otter Spec. Group Bull., 2011, 28(1), 11–16. Anoop, K. R. and Hussain, S. A., J. Zool., 2005, 266(1), 15–23.
Literature cited 2: Jayasooryan, K. K. and Sathian, A., Proceedings of the National Conference on Biodiversity Conservation, Kerala State Biodiversity Board, Thiruvananthapuram, 2023. Viswanathan, C. et al., Estuar. Coast. Shelf Sci., 2020, 242 (online)

ID: 65927
Title: United Nations Climate Change Conference COP 28 and beyond
Author: S. K. Satheesh
Editor: S.K.Satheesh
Year: 2024
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 127 (1) 7-8 10 July (2024)
Subject: United Nations Climate Change Conference COP 28 and beyond
Keywords: None
Abstract: The United Nations Climate Change Conference COP 28 was held and concluded in Dubai. It is particularly important as the first ‘global stocktake’, a process for countries and stakeholders to examine the progress towards meeting the goals of the Paris Agreement. The conference outcome was a revelation of the slow progress in most areas of climate action. Consequently, nations collectively made a pronouncement on the way forward to accelerate climate action. As usual, transitioning from fossil fuels to renewable energy sources was one of the focus areas.
Location: T E 15 New Biology building
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ID: 65926
Title: Lakes of Bangalore ( protect lakes to syustain water for your children bring water back to the city through lakes)
Author: T.V. Ramachandra , Asulabha K.S. , Sincy V. , Bhuwan Chandra Arya
Editor: None
Year: 2024
Publisher: None
Source: ENVIS, CES & EWRG, CES
Reference:
Subject: Lakes of Bangalore ( protect lakes to syustain water for your children bring water back to the city through lakes)
Keywords: None
Abstract: Lakes of Bangalore (protect lakes to sustain water for your children bring water back to the city through lakes) (Poster)
Location: T E 15 New Biology building
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ID: 65925
Title: Western Ghats Spatial Decision Support System
Author: T V Ramachandra, Bharath Setturu , Vinay S, M.D.Subhashchandran , Bharath Aithal, Abhishek Baghel
Editor: None
Year: 2024
Publisher: None
Source: ENVIS, CES & EWRG, CES
Reference:
Subject: Western Ghats Spatial Decision Support System
Keywords: None
Abstract: Western Ghats Spatial Decision Support System (Poster)
Location: T E 15 New Biology building
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ID: 65924
Title: Sahyadri ( visua,lise eco-sensitive villages in Wetern Ghats)
Author: T V Ramachandra, Bharath Setturu , Vinay S, M.D.Subhashchandran , Bharath Aithal, Abhishek Baghel
Editor: None
Year: 2024
Publisher: None
Source: ENVIS, CES & EWRG, CES
Reference:
Subject: Sahyadri ( visua,lise eco-sensitive villages in Wetern Ghats
Keywords: None
Abstract: Sahyadri ( visua,lise eco-sensitive villages in Wetern Ghats (Poster)
Location: T E 15 New Biology building
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ID: 65923
Title: Karnataka: Natural capital accounting & valuation of ecosystem services
Author: T V Ramachandra, Bharath Setturu , Vinay S, , Bharath H. Aithal, Abhishek Baghel
Editor: None
Year: 2024
Publisher: None
Source: ENVIS, CES & EWRG, CES
Reference:
Subject: Karnataka: Natural capital accounting & valuation of ecosystem services
Keywords: None
Abstract: Karnataka: Natural capital accounting & valuation of ecosystem services (Poster)
Location: T E 15 New Biology building
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ID: 65922
Title: Bangalore Urban Information System ( visualize the landscape dynamics of Bangalore city and Bangalore Urban district with other data set like administrative,environment, lakes and many more)
Author: T V Ramachandra, Bharath Aithal, Vinay S, Bharath Setturu ,Tulika Mondal, Abhishek Baghel
Editor: None
Year: 2024
Publisher: None
Source: None
Reference:
Subject: Bangalore Urban Information System ( visualize the landscape dynamics of Bangalore city and Bangalore Urban district with other data set like administrative,environment, lakes and many more
Keywords: None
Abstract: Bangalore Urban Information System ( visualize the landscape dynamics of Bangalore city and Bangalore Urban district with other data set like administrative, environment, lakes and many more (Poster)
Location: T E 15 New Biology building
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ID: 65921
Title: Bangalore Lakes Information System
Author: T V Ramachandra, Asulabha KS, Sincy Varhese, Abhishek Baghel
Editor: None
Year: 2024
Publisher: None
Source: None
Reference:
Subject: Bangalore Lakes Information System
Keywords: None
Abstract: Bangalore Lakes Information System (Poster)
Location: T E 15 New Biology building
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ID: 65920
Title: Bangalore Urban Information System
Author: T V Ramachandra, Bharath Aithal, Vinay S, Bharath Setturu ,Tulika Mondal, Abhishek Baghel
Editor: None
Year: 2024
Publisher: None
Source: ENVIS, CES & EWRG, CES
Reference:
Subject: Bangalore Urban Information System
Keywords: None
Abstract: Bangalore Urban Information System (Poster)
Location: T E 15 New Biology building
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ID: 65919
Title: Ecologically Sensitive Regions in the Western Ghats, a Biodiversity Hotspot
Author: T V Ramachandra Bharath Setturu Vinay S M D Subash Chandran Bharath H Aithal
Editor: T.V. Ramachandra
Year: 2023
Publisher: Energy &Wetlands Research Group
Source: ENVIS, CES & EWRG, CES
Reference: Ecologically Sensitive Regions in the Western Ghats, a Biodiversity Hotspot Pg: 1-541, ETR: 200, SCS: 128 15 Aug 2023
Subject: Ecologically Sensitive Regions in the Western Ghats, a Biodiversity Hotspot
Keywords: Ecological fragility, spatial decision support system (SDSS), endemic taxa, energy. Ecology, bio-geo-climatic aspects
Abstract: Ecological sensitivity or fragility refers to the permanent and irreparable loss of extant life forms or significant damage to the natural processes of evolution and speciation with the alterations in the ecological integrity of a region. The comprehensive knowledge of the ecological fragility of a region is quintessential for evolving strategies for conserving the area, which entails identifying factors responsible for ecological sensitiveness, including landscape dynamics, and visualizing future transitions to mitigate the problems of haphazard and uncontrolled development approaches. The region witnessed large-scale land cover changes during the past century due to unplanned developmental activities involving industrialization. Globalisation and relaxing market norms led to rapid urbanisation with large-scale land cover changes. This necessitates implementing mitigation measures involving stakeholders to address the impacts through location-specific conservation measures. Framing conservation and sustainable developmental policies entail delineating ecologically sensitive regions by integrating bio-geo-climatic, ecological, and social factors representing the dynamics of socioecological systems, impacts, and drivers.
Location: T E 15 New Biology building
Literature cited 1: Aggarwal, A., Paul, V. and Das, S., 2009. Forest resources: Degradation, livelihoods, and climate change. Looking back to change track, 219, pp.91-108. Almeida, D.R., Stark, S.C., Schietti, J., Camargo, J.L., Amazonas, N.T., Gorgens, E.B., Rosa, D.M., Smith, M.N., Valbuena, R., Saleska, S. and Andrade, A., 2019. Persistent effects of fragmentation on tropical rainforest canopy structure after 20 yr of isolation. Ecological Applications, 29(6), p.e01952.
Literature cited 2: Aldieri, L., Carlucci, F., Vinci, C.P. and Yigitcanlar, T., 2019. Environmental innovation, knowledge spillovers and policy implications: A systematic review of the economic effects literature. Journal of Cleaner Production, 239, p.118051. Andronache, I., Marin, M., Fischer, R., Ahammer, H., Radulovic, M., Ciobotaru, A.M., Jelinek, H.F., Di Ieva, A., Pintilii, R.D., Drăghici, C.C. and Herman, G.V., 2019. Dynamics of forest fragmentation and connectivity using particle and fractal analysis. Scientific reports, 9(1), pp.1-9.

ID: 65918
Title: Grid-based monitoring of natural resources at disaggregated levels in Raichur district, Karnataka
Author: T V Ramachandra Paras Negi Bharath Setturu
Editor: T.V. Ramachandra
Year: 2024
Publisher: Energy &Wetlands Research Group
Source: ENVIS, CES & EWRG, CES
Reference: Grid-based monitoring of natural resources at disaggregated levels in Raichur district, Karnataka Pg : 1-50 ETR: 201, SCS: 129
Subject: Grid-based monitoring of natural resources at disaggregated levels in Raichur district, Karnataka
Keywords: Natural Resource Rich Regions; Land use Land cover; Random Forest; Modeling; Sustainable Development; Supervised classification; Machine Learning.
Abstract: Land use and land cover (LULC) assessment using temporal remote sensing data provides insights into landscape status, which is crucial for the prudent management of natural resources. Integrated spatial analyses with LULC information with social, ecological, hydrological, bio-geo-climatic, and environmental variables would aid in the prioritization of natural resources-rich regions (NRRRs). The current study assesses the LULC change in an agrarian district using temporal remote sensing data through a supervised machine learning technique- Random Forest (RF). The study reveals that built-up area had increased from 0.23% (1973) to 1.04% (2022), agricultural area had increased from 84.55% (1973) to 93.43% (2022), water body had increased from 0.38% (1973) to 0.92% (2022). There has been an increase in paddy cultivation spatial extent from 0.74% (1973) to 18.41% in the region with the increase in the extent of water bodies due to the Krishna and Tungabhadra River. The condition of forests assessed through fragmentation metrics indicates the decline of intact forest cover from 4.19% (in 1973) to 3.08% (in 2022), and non-forest area accounted for 95.87% in 2022 from 92.03 % in 1973. The likely land uses in 2022, 2030, and 2038 are predicted using Cellular Automata. The simulated LU for 2038 shows the likely increase in built-up by 671 km 2 with a decline of agriculture land by 1159.33 km 2 and an expansion of the road network and industrial area. This necessitates the identification of natural resources rich regions (NRRRs) for formulating effective policies for prudent management of natural resources to achieve sustainable development goals (SDG) by exploring all feasible dimensions and analyzing the patterns and dynamics across various interdisciplinary themes such as social, hydrological, ecological and bio-geo-climatic.
Location: T E 15 New Biology building
Literature cited 1: Barros, R. S., Barreto, M. R., & Falcão, A. X. (2020). Accurate classification of Brazilian Cerrado vegetation using machine learning classifiers. Environmental Monitoring and Assessment, 192(3), 166. Belgiu, M., Drǎguţ, L., & Strobl, J. (2014). Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 87, 205-215.
Literature cited 2: Bharath, S., Rajan, K. S., & Ramachandra, T. V. (2013). Land surface temperature responses to land use land cover dynamics. Geoinfor Geostat: An Overview, 54, 50-78. Bharath, S., Rajan, K. S., & Ramachandra, T. V. (2014). Status and future transition of rapid urbanizing landscape in central Western Ghats-CA based approach. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(8), 69.

ID: 65917
Title: Grid Based Mapping of Natural Resource-Rich Regions in Bidar district, Karnataka
Author: T V Ramachandra Paras Negi
Editor: T.V. Ramachandra
Year: 2024
Publisher: Energy &Wetlands Research Group
Source: ENVIS, CES & EWRG, CES
Reference: Grid Based Mapping of Natural Resource-Rich Regions in Bidar district, Karnataka Pg 1-46 , ETR: 202, SCS: 130
Subject: Grid Based Mapping of Natural Resource-Rich Regions in Bidar district, Karnataka
Keywords: LULC change, supervised learning, Machine learning, Random Forest, Natural Resource-Rich Regions, CA-Markov.
Abstract: Natural Resource Rich Regions (NRRRs) are ecologically and economically vital regions that support the livelihood of people through the sustained ecosystem process involving the interaction among biotic and abiotic elements. Identifying NRRRs, considering spatially ecological, geoclimatic, biological, and social dimensions, would help in conservation planning and prudent management of natural resources as per the Biodiversity Act 2002, Government of India. Changes in the landscape structure would lead to alterations in the composition and health of these regions with irreversible changes in the ecosystem process, impacting the sustenance of natural resources. The anthropogenic activities have been the major driver for landscape dynamics with the largescale land use and land cover (LULC) changes. Unplanned and uncontrolled exploitation of natural resources due to industrial developmental activities has escalated rates of LULC changes that led to ecosystem degradation. Spatio-temporal LULC change information provides insights into affecting factors and their impacts on the landscape. Bidar district has witnessed drastic growth in rural built-up areas and the expansions of the National Investment & Manufacturing Zone [NIMZ], in response to the State’s industrial policy of 2014-19 for industrial development. Supervised machine learning technique - Random Forest (RF) was used to assess land use dynamics. Random forest is an ensemble of decision trees maintaining multi-variance and minimizes the correlation among decision trees, in addition, it is less sensitive to noise and reduction of training. Modeling of likely land use aided in the identification of ecologically fragile areas. CA-Markov model is a dynamic model for predicting LULC changes and can simulate long-term predictions of spatial variation of complex patterns. The current study suggests that there is a need to establish robust systems to frame effective policy and make interventions for the conservation and restoration of natural resources.
Location: T E 15 New Biology building
Literature cited 1: Abijith, D., & Saravanan, S. (2021). Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India. Environmental Science and Pollution Research, 1-13. Adam, E., Mutanga, O., Odindi, J., & Abdel-Rahman, E. M. (2014). Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. International Journal of Remote Sensing, 35(10), 3440-3458.
Literature cited 2: Adhikari, S., & Southworth, J. (2012). Simulating forest cover changes of Bannerghatta National Park based on a CA-Markov model: a remote sensing approach. Remote Sensing, 4(10), 3215-3243. Ahmad, F., Goparaju, L., & Qayum, A. (2017). LULC analysis of urban spaces using Markov chain predictive model at Ranchi in India. Spatial Information Research, 25(3), 351-359.