Assessment of Decadal Trends in Rainfall and Temperature and Their Agricultural Implications in Alluri Sitharama Raju District of Andhra Pradesh

This study quantifies the decadal hydrometeorological variability (2016–2025) and its agronomic implications for the rainfed, high-altitude tribal agro-ecosystem of Chintapalle in the Eastern Ghats. Utilizing daily meteorological datasets—precipitation, maximum temperature (Tmax), and minimum temperature (Tmin)—sourced from the Agro-Meteorological Field Unit, we applied descriptive statistical models and decadal aggregation to assess temporal climatic shifts. Our temporal analysis indicates pronounced precipitation volatility driven by monsoonal anomalies. The decadal mean precipitation stabilized at approximately 1480 mm, yet exhibited severe inter-annual amplitude fluctuations of up to 570 mm. Thermally, the data confirms a distinct post-2018 warming trajectory. Specifically, Tmax recorded a significant positive anomaly of approximately 1.4°C. A concomitant escalation in Tmin indicates warming nocturnal regimes, thereby constricting the diurnal temperature range (DTR). These combined hydrometeorological perturbations fundamentally destabilize regional agricultural systems. Altered thermal and precipitation regimes directly impact critical sowing windows, disrupt soil moisture homeostasis, accelerate crop phenology, and shift pest-pathogen dynamics for key crops including rice, coffee, maize, and turmeric. To mitigate these systemic vulnerabilities, integrating climate-resilient agronomy—specifically, advanced hydro-conservation, robust crop diversification paradigms, and hyper-local meteorological agro-advisory frameworks—is imperative for sustaining the adaptive capacity of this ecologically fragile zone.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-05
DOI
https://doi.org/10.5281/zenodo.19069229
Primary Topic
Climate variability and models
Type
article
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article

Assessment of Decadal Trends in Rainfall and Temperature and Their Agricultural Implications in Alluri Sitharama Raju District of Andhra Pradesh

D. Venkatesh Babu, K Ravi Kumar Reddy, B. N. Sandeep Naik, Prof. P. Mohan Reddy et al.
Zenodo (CERN European Organization for Nuclear Research)
Climate variability and models
article

Assessment of Decadal Trends in Rainfall and Temperature and Their Agricultural Implications in Alluri Sitharama Raju District of Andhra Pradesh

D. Venkatesh Babu, K Ravi Kumar Reddy, B. N. Sandeep Naik, Prof. P. Mohan Reddy, I. Bhargavi, A. Appalaswamy, P. Joga rao
article en

Abstract

This study quantifies the decadal hydrometeorological variability (2016–2025) and its agronomic implications for the rainfed, high-altitude tribal agro-ecosystem of Chintapalle in the Eastern Ghats. Utilizing daily meteorological datasets—precipitation, maximum temperature (Tmax), and minimum temperature (Tmin)—sourced from the Agro-Meteorological Field Unit, we applied descriptive statistical models and decadal aggregation to assess temporal climatic shifts. Our temporal analysis indicates pronounced precipitation volatility driven by monsoonal anomalies. The decadal mean precipitation stabilized at approximately 1480 mm, yet exhibited severe inter-annual amplitude fluctuations of up to 570 mm. Thermally, the data confirms a distinct post-2018 warming trajectory. Specifically, Tmax recorded a significant positive anomaly of approximately 1.4°C. A concomitant escalation in Tmin indicates warming nocturnal regimes, thereby constricting the diurnal temperature range (DTR). These combined hydrometeorological perturbations fundamentally destabilize regional agricultural systems. Altered thermal and precipitation regimes directly impact critical sowing windows, disrupt soil moisture homeostasis, accelerate crop phenology, and shift pest-pathogen dynamics for key crops including rice, coffee, maize, and turmeric. To mitigate these systemic vulnerabilities, integrating climate-resilient agronomy—specifically, advanced hydro-conservation, robust crop diversification paradigms, and hyper-local meteorological agro-advisory frameworks—is imperative for sustaining the adaptive capacity of this ecologically fragile zone.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 17%
Climate variability and models
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