Management of Natural Ecosystems

Management of Natural Ecosystems

Trend Analysis of changes in temperature extremes indices and detection of the climate change occurrence (Case study: Najafabad County, Isfahan province)

Document Type : Original Article

Authors
1 M.Sc. in Range Science and Engineering, Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran.
2 Associate Professor, Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran.
3 Assistant Professor, Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran.
4 Assistant Professor, Department of Forest Engineering, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran.
Abstract
In recent decades, the intensification of temperature extremes has led to losses and damages in socio-economic and environmental sectors. In this regard, analyzing the trend of temperature extreme indices can assist policymakers, decision-makers, and executives in planning to address the challenges of climate change and adaptive responses under extreme conditions. The aim of this study is to analyze climate change by analyzing the trends of temperature extreme indices in Najafabad County. For this purpose, Daily temperature data from recorded meteorological observations at the Najafabad County synoptic station from 2003 to 2022 were obtained from the Meteorological Organization’s database. The overall trend of 18 temperature extreme indices were examined and analyzed. All data analyses were conductedusing RClimdex and MAKESENS software. The results showed that the all warm temperature indices had a positive slope. Among the cold temperature indices, the number of ice days (ID), cold days (TX10p), cold nights (TN10p), frost days (FD), and the duration of cold spells (CSDI) showed negative slopes and decreasing trends. The minimum of the daily maximum temperature (TXn) and the minimum of the daily minimum temperature (TNn) indices exhibited positive slope and an increasing trend. Based on these results, it can be concluded that climate change has occurred in this region. This study recommends that analyses of temperature data in other regions also be investigated. In addition, combining and comparing the results of long-term meteorological data with the perceptions of vulnerable and affected local communities regarding climate change can provide a better understanding of its occurrence of climate change and serve as a model for improved decision-making and planning.
 
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  • Receive Date 19 February 2025
  • Revise Date 17 May 2025
  • Accept Date 31 May 2025