Impact of climate change on cropping and land use pattern in Ramanathapuram district: A Markov chain analysis
DOI:
https://doi.org/10.14719/pst.5330Keywords:
climate change, cropping pattern, land use pattern, markov chainAbstract
Examining shifts in cropping and land use patterns is crucial for gaining better insights into agricultural development strategies. The present study was undertaken to investigate the dynamics of cropping patterns and land use patterns in the Ramanathapuram district of Tamil Nadu from 2004 to 2023, using Transitional Probability Matrices (TPM) to analyze changes across two distinct periods: 2004-2013 (Period I) and 2014-2023 (Period II). The results revealed significant changes in both land use patterns and crop stability. Forest retention dropped sharply from 89% in Period I to 18% in Period II, with substantial transitions to non-agricultural uses, while barren land retention decreased from 96% to 11%. Pasture retention declined from 91% to 28%, reflecting reduced grazing areas. Conversely, the retention of culturable wasteland increased to 100% and land under tree crops showed improved stability. Regarding cropping patterns, paddy remained the most stable crop, with 72% and 76% retention rates in Periods I and II, respectively. Sorghum and green gram showed instability during the first period, though sorghum's stability improved in the second period, while green gram remained unstable. These findings indicate a trend toward diversification in cropping patterns and land use. The study highlights the influence of urbanization pressures, intensified agricultural activities and shifts in crop choice, offering valuable insights into land management strategies and developmental trends within the district.
Downloads
References
Punit KA, Agarwal PK, Yavad P, Mondal S. Economic analysis of cost and return structure of paddy cultivation under traditional and SRI method: a comparative study. International Journal of Agriculture Sciences. 2018;9753710:5890-3.
Mahato A, Upadhyay S, Sharma D. Global water scarcity due to climate change and its conservation strategies with special reference to India: a review. Plant Archives. 2022;22(1). https://doi.org/10.51470/plantarchives.2022.v22.no1.009
Nair AS, Thyigeshwari S, Muthumanickam D. Thematic maps based fertility status of panchayat villages of Ramanathapuram District in Tamil Nadu. Intl J Chem Stud. 2017;5(5):896-901.
Muthumurugan P. Regional differences of agricultural development in Tamil Nadu: A district-wise analysis. Indian Journal of Economics and Development. 2021;9(1):1-9. https://doi.org/10.17485/IJED/v9.2021.24
Reddy GR, Reddy MC, Pravallika K, Gita BM. Dynamics of cropping pattern in Krishna zone of Andhra Pradesh-Markov chain approach. The Journal of Research Angrau. 2022;50(1):104-15.
Wali VS. An Analysis of Cropping Pattern in Malaprabha Project Command Area. International Journal of Agriculture Sciences. 2019:0975-3710.
Lee TC, Judge GG, Takayama T. On estimating the transition probabilities of a Markov process. American Journal of Agricultural Economics. 1965;47(3):742-62. https://doi.org/10.2307/1236285
Devi YL, Arivelarasan T, Kapngaihlian J. Pulses production in India: Trend and decomposition analysis. Economic Affairs. 2017;62(3):435-8. https://doi.org/10.5958/0976-4666.2017.00054.7
Acharya RN. The effects of changing climate and market conditions on crop yield and acreage allocation in Nepal. Climate. 2018;6(2):32. https://doi.org/10.3390/cli6020032.
Jyothi VS, Rani PP, Ramana KV, Prasad PR, Sree M. Cropping pattern changes: A case study in Krishna delta region of Andhra Pradesh. Intl J Chem Stud. 2020;8(1):494-500. https://doi.org/10.22271/chemi.2020.v8.i1g.8306
Mwamahonje A, Eleblu J, Ofori K, Deshpande S, Feyissa T, Tongoona P. Drought Tolerance and Application of Marker-Assisted Selection in Sorghum. Biology. 2021;10. https://doi.org/10.3390/biology10121249.
Rath A, Samantaray S, Swain PC. Optimization of the cropping pattern using cuckoo search technique. Smart Techniques for a Smarter Planet: Towards Smarter Algorithms. 2019:19-35. https://doi.org/10.1007/978-3-030-03131-2_2
Arulpandiyan K, Prabakaran K. A Statistical study on cropping pattern changes in Madurai district. International Journal of Agriculture and Environmental Research. 2020;6(3):512-7. https://doi.org/10.46609/IJAER.2020.v06i03.015
Thakur AN. Impact of socioeconomic factors on agricultural prices: A Case study of paddy cultivation in India. The Indian Economic Journal. 2024. https://doi.org/10.1177/00194662241265466
A Rajini Devi D, Uma Reddy R, Madavi B, Ravi P, Sadvi P. Dynamics of cropping pattern in Karimnagar District of Telangana-A Markov chain approach. Asian Journal of Agricultural Extension, Economics and Sociology. 2020;37(4):1-5. https://doi.org/10.9734/ajaees/2019/v37i430281
Chen S, Zhang Y, Zhu Y, Ma L, Zhao J. The battle of crops: unveiling the shift from grain to non-grain use of farmland in China. International Journal of Agricultural Sustainability.2023;21(1). https://doi.org/10.1080/14735903.2023.2262752
Geetha IR, Vidhyavathi A, Rani SP. Dynamics of land use pattern in Madurai district of Tamil Nadu in nexus with common property land resources. Curr J Appl Sci Technol.2020;39:30-40. https://doi.org/10.9734/cjast/2020/v39i2030805
Gayathri E, Devi KS. Impact of Urbanisation on Land Use Pattern in Tamil Nadu: An Economic Analysis. Advances in Research. 2024;25(2):17-29. https://doi.org/10.9734/air/2024/v25i21029
Ojha HR, Shrestha KK, Subedi YR, Shah R, Nuberg I, et al. Agricultural land underutilization in the hills of Nepal: Investigating socio-environmental pathways of change. Journal of Rural Studies. 2017;53:156-72. https://doi.org/10.1016/j.jrurstud.2017.05.012
Zhou T, Koomen E, Ke X. Determinants of farmland abandonment on the urban-rural fringe. Environmental Management. 2020;65:369-84. https://doi.org/10.1007/s00267-020-01258-9
Mirkatouli J, Hosseini A, Neshat A. Analysis of land use and land cover spatial pattern based on Markov chains modelling. City, Territory and Architecture. 2015;2:1-9. https://doi.org/10.1186/s40410-015-0023-8
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 K Praveena, A Malaisamy, K Prabakaran, Padma S Rani , R Balaji
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licence details of published articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Open Access Policy
Plant Science Today is an open access journal. There is no registration required to read any article. All published articles are distributed under the terms of the Creative Commons Attribution License (CC Attribution 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).