Singh R N, Sah Sonam, Das B, Jaiswal Rohit, Singh A K, Reddy K S, Pathak H
ICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
ICAR-Central Coastal Agricultural Research Institute, Old Goa, Goa, India.
Sci Rep. 2024 Dec 2;14(1):29914. doi: 10.1038/s41598-024-78597-8.
Understanding the long-term trends in temperature is crucial for assessing the impacts of climate change on agriculture, human and animal health, and natural habitats. An in-depth analysis of long-term spatio-temporal trends of monthly maximum and minimum temperatures along with Diurnal Temperature Range (DTR) from 1951 to 2022 in various Agro-Climatic Zones (ACZs) of India was performed using newly introduced Innovative Polygonal Trend Analysis (IPTA) and Innovative Trend Analysis (ITA) along with traditional Mann-Kendall (MK) or modified Mann-Kendall (m-MK) tests. The MK/m-MK and IPTA assessments detected significant trends in 44.6% and 86% of the time series data, respectively, while the ITA method detected significant trends in every time series data. The southern, western, and central parts of India are consistently experiencing rising monthly maximum and minimum temperatures. The western dry region, Central Plateau & Hills, East Coast Plains & Hills, Gujarat Plains & Hills, West Coast Plains & Hills, Southern Plateau & Hills, Western Plateau & Hills and Eastern Himalayan Region predominantly show increasing trends in both maximum and minimum temperatures in all months. The Indo-Gangetic Plains (Middle, Trans, Upper and Lower) exhibit decreasing trends in maximum temperatures during January, February, May, and June. The DTR showed increasing trends in the northern and western parts, while it has increasing trends in the central and southern parts of the country. The results of this study provide valuable information to assist in precise and informed decision-making on agricultural resource management and socio-economic policies.
了解温度的长期趋势对于评估气候变化对农业、人类和动物健康以及自然栖息地的影响至关重要。利用新引入的创新多边形趋势分析(IPTA)和创新趋势分析(ITA)以及传统的曼-肯德尔(MK)或修正曼-肯德尔(m-MK)检验,对1951年至2022年印度各农业气候区(ACZ)月最高和最低温度以及日较差(DTR)的长期时空趋势进行了深入分析。MK/m-MK和IPTA评估分别在44.6%和86%的时间序列数据中检测到显著趋势,而ITA方法在每个时间序列数据中都检测到显著趋势。印度南部、西部和中部地区的月最高和最低温度持续上升。西部干旱地区、中部高原和丘陵、东海岸平原和丘陵、古吉拉特平原和丘陵、西海岸平原和丘陵、南部高原和丘陵、西部高原和丘陵以及东喜马拉雅地区在所有月份的最高和最低温度主要呈现上升趋势。印度河-恒河平原(中部、过渡部、上游和下游)在1月、2月、5月和6月的最高温度呈现下降趋势。DTR在该国北部和西部呈上升趋势,而在中部和南部呈上升趋势。本研究结果为农业资源管理和社会经济政策的精确和明智决策提供了有价值的信息。