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Assess the Impact of Climate Variability on Crop Yield Using Remote Sensing Data

SSRN, ISSN: 1556-5068
2023
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Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    157
    • Abstract Views
      122
    • Downloads
      35

Article Description

Understanding the impact of Climate Variability (CV) on crop yield is crucial for developing sustainable agriculture practices, especially in regions vulnerable to climate change. This study aims to identify the causes of the observed decline in potato yield in northern Finland by analyzing Remote Sensing data and statistical analysis on climatic variables from 2001 to 2020. First, the exception years with critical production (2004, 2006, 2008, 2012, 2015) were selected based on the anomaly in the annual potato yield. Then a variety of extreme indices based on precipitation and Land Surface Temperature occurrence and intensity during the growing season were calculated to find how much impact they have on potato yield. Principal Component Analysis was used to select the most significant ones among the extreme indices. Finally, through a multiple regression analysis, we found that extreme precipitation events and cumulative temperature explain around 48% potato yield variations in which extreme precipitation (with 38%) had much more impact than cumulative temperature (with 10%). We concluded that one degree increase in cumulative temperature, increases potato yield by 19.64 kg/ha and in contrast, heavy precipitation plays a negative role, i.e., one day increase in extreme precipitation events, decreases potato yield by 2085 kg/ha.

Bibliographic Details

Amirhossein Ahrari; Kedar Ghag; Björn Klöve; Ali Torabi Haghighi; Syed Mustafa; Anandharuban Panchanathan; Mourad Ousallah; Alexandra Gemitzi

Elsevier BV

Multidisciplinary; Climate Variability; Potato Yield; Extreme Indices; Remote Sensing

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