Trend analysis and change-point detection of monsoon rainfall in Uttarakhand and its impact on vegetation productivity

Authors

  • PRIYANKA SWAMI Department of Agronomy, Agriculture University Jodhpur, Rajasthan, India

DOI:

https://doi.org/10.54386/jam.v26i1.2214

Keywords:

Mann-Kendall (MK) test, Pettitt test, rainfall trend, Gross primary productivity, forest and crop lands

Abstract

This study analyzes the long-term spatio-temporal changes and trend analysis in rainfall using the data from 1901 to 2020 and its impact on vegetation from 2000 to 2020 across districts of Uttarakhand. The Pettitt test was employed to detect the abrupt change point in time frame, while the Mann-Kendall (MK) test was performed to analyze the rainfall trend. Results show that the most of the districts exhibited significant negative trend of rainfall in monsoon, except two districts. Out of 13 districts, 4 districts recorded noteworthy rainfall declining trend for the monsoon season at 0.05% significance level, while the insignificant negative trend of rainfall was detected for 7 districts of Uttarakhand. Furthermore, the significant negative trend (-2.23) was recorded for overall monsoon rainfall of Uttarakhand. Based on the findings of change detection, the most probable year of change detection was occurred primarily after 1960 for most of the districts of Uttarakhand. A significant decline rainfall was detected after 1960 while after 1970 interannual variability of rainfall was recorded to be increased.  The analysis of month wise cumulative gross primary productivity (GPP) for 13 districts with rainfall trends shows that there is significant impact of rainfall trend on GPP during month of June and it gradually reduces for subsequent monsoon months. It was observed that the GPP of region is increasing at rate of 9.1 gCm-2d-1 in the region since 2000. Based on sensitivity analysis, the GPP of cropped area of region is more sensitive towards rainfall than forest area of Uttarakhand.

References

Mann, H. B. (1945). Non-parametric tests against trend. Econometrica 13: 245–259. https://doi.org/10.2307/1907187

Nemani, R. R., Charles D. Keeling, Hirofumi Hashimoto, William M. Jolly, Stephen C. Piper, Compton J. Tucker, Ranga B. Myneni and Steven W. Running. (2003). Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Sci., 300 (5625): 1560-1563, https://doi.org/10.1126/science.1082750

Sridhara, S. and Pradeep Gopakkali. (2021). Trend and change point detection of seasonal rainfall for effective crop planning over southern transition zone of Karnataka, India. J. Agrometeorol., 23(3): 316–323. https://doi.org/10.54386/jam.v23i3.36.

Yadav, Reshu, S. K. Tripathi, G. Pranuthi and S. K. Dubey. (2014). Trend analysis by Mann-Kendall test for precipitation and temperature for thirteen districts of Uttarakhand. J. Agrometeorol., 16(2): 164–171. https://doi.org/10.54386/jam.v16i2.1507.

Waghaye, Abhishek M., Y. A. Rajwade, R. D. Randhe and Nidhi Kumari. (2018). Trend analysis and change point detection of rainfall of Andhra Pradesh and Telangana, India. J. Agrometeorol., 20(2): 160–163. https://doi.org/10.54386/jam.v20i2.532.

Wang, Z, Yanzhen Zhang, Yue Yang, Wei Zhou, Chencheng Gang, Ying Zhang, Jianlong Li, Ru An, Ke Wang, Inakwu Odeh and Jiaguo Qi. (2016). Quantitative assess the driving forces on the grassland degradation in the Qinghai Tibet Plateau China. Ecol. Inform., 33: 32–44. https://doi.org/10.1016/j.ecoinf.2016.03.006

Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q. and Yang, Y. (2019). Coupled estimation of 500m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017. Remote Sens. Environ., 222: 165-182 https://doi.org/10.1016/j.rse.2018.12.031.

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Published

01-03-2024

How to Cite

SWAMI, P. (2024). Trend analysis and change-point detection of monsoon rainfall in Uttarakhand and its impact on vegetation productivity. Journal of Agrometeorology, 26(1), 103–108. https://doi.org/10.54386/jam.v26i1.2214

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Research Paper

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