Agriculture Development and its Impact: A Comprehensive Time Series Analysis of Climate Variables
Keywords:
Hemodialysis, Chronic renal failure, protein-energy malnutrition, dietary habits., Information., Energy, matter, Origin of the Universe, Spirit, Body, Computer and Software, Software Programming, relativity., Fundamental Nature of the Universe, Zero-dimensional Space, Scientific Philosophy and Reflection, Ancestral Teachings, Force and Time, Space and Existence, Fundamental Force and Thermodynamics ? Scientific Philosophy, Climate Change, methane, nitrous oxide., Greenhouse gases (GHGs)Abstract
Climate change poses significant challenges that necessitate the development of policies aimed at managing aggregate inputs and social costs. For formulating such policies, an analysis of its factors and their current trends needs to be studied. This paper explores the factors influencing climate change and provides insights into their impact through changes in arable land and greenhouse gas (GHG) emissions in India from 1990 to 2020. Utilizing time series analysis, the study examines trends in GHG emissions from agriculture and develops a simulation model to estimate overall GHG emissions through methane and nitrous oxide emissions. Results indicate that enteric fermentation and agricultural soil are major contributors to methane and nitrous oxide emissions, respectively, with enteric fermentation contributing approximately 69.33% to methane emissions and agricultural soil contributing approximately 97.66% to nitrous oxide emissions. Additionally, a higher growth rate is observed for nitrous oxide emissions than methane emissions, with nitrous oxide emissions showing a 161% increase from 1960 to 2010. Furthermore, a positive correlation (i.e. r=0.587) between GHG emissions and changes in annual mean temperature underscores the direct impact of agricultural emissions on climate dynamics in India, with a regression coefficient factor of 0.176. It is estimated that the overall GHG emission from agriculture through methane and nitrous oxide emission will be approximately 695.87 to 818.73 MMTCDE in the year 2030; while the change in annual mean temperature is estimated to be about 1.65 ± 0.58o C from 1990 to 2030 in India. The findings highlight the urgent need for effective mitigation strategies within the agricultural sector to address the growing threat of climate change.
References
(2021) All India Seasonal and Annual Temperature Series. https://data.gov.in/catalog/all-india-seasonal-and-annual-temperature-series
(2020) Agri-Environmental other indicators. https://doi.org/10.1787/20752288
(2023) Contribution of Agricultural Sector in GDP. https://www.pib.gov.in/PressReleasePage.aspx?PRID=1909213
P.K. Aggarwal (2008) Global climate change and Indian agriculture: impacts, adaptation, and mitigation. 78(10), 3-13.
Muniyandi Balasubramanian, V. Birundha (2012) Climate Change and its Impact on India. ((VI)), 32-46.
A. Bhatia, H. Pathak, P.K. Aggarwal (2004) Inventory of methane and nitrous oxide emissions from agricultural soils of India and their global warming potential. 87(3), 317-324.
G. Chataut, B. Bhatta, D. Joshi, K. Subedi, K. Kafle (2023) Greenhouse gases emission from agricultural soil: A review. ((11)). https://doi.org/10.1016/j.jafr.2023.100533
(2022) Mitigation of Climate Change Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. 3 – 48. https://doi.org/10.1017/9781009157926.001
D. Coskun, D. Britto, W. Shi (2017) Nitrogen transformations in modern agriculture and the role of biological nitrification inhibition. ((3)), 17074. https://doi.org/10.1038/nplants.2017.74
M.V. Deshpande, N. Kumar, D. Pillai, V. V. Krishna, M. Jain (2023) Greenhouse gas emissions from agricultural residue burning have increased by 75 % since 2011 across India. 904, 1-14. https://doi.org/10.1016/j.scitotenv.2023.166944
A. Dutta, A. Patra, K.K. Hazra, C.P. Nath, N. Kumar, A. Rakshit (2022) A state of the art review in crop residue burning in India: previous knowledge, present circumstances, and future strategies. 100581. https://doi.org/10.1016/j.envc.2022.100581
J. Gu, J. Yang (2022) Nitrogen (N) transformation in paddy rice field: Its effect on N uptake and relation to improved N management. 1(1), 7-14. https://doi.org/10.1016/j.crope.2022.03.003
Damodar N. Gujarati, Dawn C. Porter (2009) How to Measure Elasticity: The Log-Linear Model. 159–162.
IPCC (2007) Climate Change 2007: The Physical Science Basis. Summary for Policymakers.
Krishna V. V., Mkondiwa (2023) Economics of Crop Residue Management. 15(1), 19-39.
Lal M., Singh K.K., Rathore L.S., Srinivasan G., Saseendran S.A. (1997) Vulnerability of rice and wheat yields in NW India to future changes in climate. 89(2), 101-114. https://doi.org/10.1016/S0168-1923(97)00064-6
J Lynch, M Cain, D Frame, R Pierrehumbert (2021) Agriculture's Contribution to Climate Change and Role in Mitigation is Distinct from Predominantly Fossil CO2-Emitting Sectors. 1-9. https://doi.org/10.3389/fsufs.2020.518039
G Moiceanu, M N Dinca (2021) Climate Change - Greenhouse Gas Emissions Analysis and Forecasting Romania. 13(21). https://doi.org/10.3390/su132112186
M Ozdemir, S Pehlivan, M Melikoglu (2024) Estimation of greenhouse gas emissions using linear and logarithmic models: A scenario-based approach for Turkiye's 2030 vision. 13. https://doi.org/10.1016/j.nexus.2023.100264
H Pathak, A Bhatia, N Jain (2014) Greenhouse Gasmission from Indian Agriculture: Trends, Mitigation, and Policy Needs. p39.
D Sah, A S Devakumar (2018) The carbon footprint of agricultural crop cultivation in India. 9(3), 213-225. https://doi.org/10.1080/17583004.2018.1457908
K K Singhal, M Mohini (2002) Uncertainty Reduction in Methane and Nitrous Oxide Gases Emission from Livestock in India. p62.
S H Vetter, T B Sapkota, C M Hillier, J I Macdiarmid, L Aleksandrowicz, R Green, E J Joy, A D Dangour, P Smith (2017) Greenhouse gas emissions from agricultural food production to supply Indian diets: Implications for climate change mitigation. 237, 234-241. https://doi.org/10.1016/j.agee.2016.12.024
X. Zhong, X. Zhou, J. Fei, Y. Huang, G. Wang, X. Kang, W. Hu, H. Zhang, X. Rong, J. Peng (2021) Reducing ammonia volatilization and increasing nitrogen use efficiency in machine transplanted rice with side-deep fertilization in a double-cropping rice system in Southern China. 306, 107183. https://doi.org/10.1016/j.agee.2020.107183
The jamovi project (2023) jamovi. https://www.jamovi.org
R Core Team (2022) R: A Language and environment for statistical computing. https://cran.r-project.org
J. Fox, S. Weisberg (2020) car: Companion to Applied Regression. https://cran.r-project.org/package=car
S. Kim (2015) ppcor: Partial and Semi-Partial (Part) Correlation. https://cran.r-project.org/package=ppcor
M. Gallucci (2019) GAMLj: General analyses for linear models. https://gamlj.github.io/
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