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Climate-induced shifts and lengthening of growing seasons across Pakistan's major vegetation types.

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Title: Climate-induced shifts and lengthening of growing seasons across Pakistan's major vegetation types.
Authors: Hanan, Muhammad Shah1 (AUTHOR) muhammadshahhanan@gmail.com, Abbas, Sawaid1,2 (AUTHOR) sawaid.abbas@gmail.com
Source: Environmental Monitoring & Assessment. May2026, Vol. 198 Issue 5, p1-20. 20p.
Subject Terms: *Plant phenology, *Growing season, *Rainfall, *Soil moisture, *Temperature effect, *Climate change, *Human ecology, Remote sensing devices
Geographic Terms: Pakistan
Company/Entity: Earth Observing System (Program)
Abstract: Pakistan's diverse ecology, ranging from arid to semi-arid zones and mountainous regions, makes vegetation phenology highly sensitive to climate variability. However, a long-term assessment of phenological shifts across its major ecological zones remains limited at national-scale. This study provides the first consistent nationwide analysis of changes in vegetation phenology metrics from 2001 to 2023, including the start of season (SOS), length of season (LOS), and end of season (EOS). The assessment focused on natural and semi-natural vegetation classes, excluding croplands, to understand climate-driven phenological responses. The MODIS phenology product was used to extract phenological indicators, while vegetation land cover types were derived from the MODIS land cover type product. The impact of climate variability on phenology was assessed using temperature and solar radiation data from the ECMWF ERA5 (European Centre for Medium-Range Weather Forecasts Reanalysis 5) and precipitation data from CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data). Temporal trends in phenological events and climatic variables were analyzed at seasonal and annual scales, with correlations assessed between each climatic driver and phenological parameters. Results indicated variation in SOS (May to August) and EOS (November to March), reflecting phenological differences across different vegetation types across the biomes. A significant trend of delayed SOS (0.10 days/year) and EOS (0.40 days/year) was observed. SOS onset for grassland and savannas were negatively correlated with temperature (−0.424 and −0.422), and consistently indicated negative association with solar radiation across all vegetation types, suggesting an earlier SOS with warmer temperature and bright sunny conditions. Among the divergent vegetation classes (mixed forests, open and close shrublands, and savannas and woody savannas), within-season precipitation showed positive correlations with EOS and LOS (r = 0.455–0.727), indicating moisture-constrained growing season length. Soil moisture exhibited stronger associations with EOS and LOS, particularly in mixed forests (EOS r = − 0.557, LOS: r = −0.71) with higher significance than with SOS, suggesting a greater role in regulating senescence and growing season duration than green-up onset. These asymmetric phenological responses to different climate controls suggest the complex influence of climatic conditions at different stages of vegetation growth, varying across vegetation types and landscapes. The reliance on the MODIS phenology product may introduce uncertainties, suggesting further validation and independent phenology observation across the landscape. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Monitoring & Assessment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Climate-induced shifts and lengthening of growing seasons across Pakistan's major vegetation types.
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  Data: <searchLink fieldCode="AR" term="%22Hanan%2C+Muhammad+Shah%22">Hanan, Muhammad Shah</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> muhammadshahhanan@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Abbas%2C+Sawaid%22">Abbas, Sawaid</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sawaid.abbas@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Monitoring+%26+Assessment%22">Environmental Monitoring & Assessment</searchLink>. May2026, Vol. 198 Issue 5, p1-20. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Plant+phenology%22">Plant phenology</searchLink><br />*<searchLink fieldCode="DE" term="%22Growing+season%22">Growing season</searchLink><br />*<searchLink fieldCode="DE" term="%22Rainfall%22">Rainfall</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br />*<searchLink fieldCode="DE" term="%22Human+ecology%22">Human ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing+devices%22">Remote sensing devices</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Pakistan's diverse ecology, ranging from arid to semi-arid zones and mountainous regions, makes vegetation phenology highly sensitive to climate variability. However, a long-term assessment of phenological shifts across its major ecological zones remains limited at national-scale. This study provides the first consistent nationwide analysis of changes in vegetation phenology metrics from 2001 to 2023, including the start of season (SOS), length of season (LOS), and end of season (EOS). The assessment focused on natural and semi-natural vegetation classes, excluding croplands, to understand climate-driven phenological responses. The MODIS phenology product was used to extract phenological indicators, while vegetation land cover types were derived from the MODIS land cover type product. The impact of climate variability on phenology was assessed using temperature and solar radiation data from the ECMWF ERA5 (European Centre for Medium-Range Weather Forecasts Reanalysis 5) and precipitation data from CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data). Temporal trends in phenological events and climatic variables were analyzed at seasonal and annual scales, with correlations assessed between each climatic driver and phenological parameters. Results indicated variation in SOS (May to August) and EOS (November to March), reflecting phenological differences across different vegetation types across the biomes. A significant trend of delayed SOS (0.10 days/year) and EOS (0.40 days/year) was observed. SOS onset for grassland and savannas were negatively correlated with temperature (−0.424 and −0.422), and consistently indicated negative association with solar radiation across all vegetation types, suggesting an earlier SOS with warmer temperature and bright sunny conditions. Among the divergent vegetation classes (mixed forests, open and close shrublands, and savannas and woody savannas), within-season precipitation showed positive correlations with EOS and LOS (r = 0.455–0.727), indicating moisture-constrained growing season length. Soil moisture exhibited stronger associations with EOS and LOS, particularly in mixed forests (EOS r = − 0.557, LOS: r = −0.71) with higher significance than with SOS, suggesting a greater role in regulating senescence and growing season duration than green-up onset. These asymmetric phenological responses to different climate controls suggest the complex influence of climatic conditions at different stages of vegetation growth, varying across vegetation types and landscapes. The reliance on the MODIS phenology product may introduce uncertainties, suggesting further validation and independent phenology observation across the landscape. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Monitoring & Assessment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10661-026-15357-3
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 1
    Subjects:
      – SubjectFull: Plant phenology
        Type: general
      – SubjectFull: Growing season
        Type: general
      – SubjectFull: Rainfall
        Type: general
      – SubjectFull: Soil moisture
        Type: general
      – SubjectFull: Temperature effect
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Human ecology
        Type: general
      – SubjectFull: Remote sensing devices
        Type: general
      – SubjectFull: Pakistan
        Type: general
      – SubjectFull: Earth Observing System (Program)
        Type: general
    Titles:
      – TitleFull: Climate-induced shifts and lengthening of growing seasons across Pakistan's major vegetation types.
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            NameFull: Hanan, Muhammad Shah
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            NameFull: Abbas, Sawaid
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          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 198
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              Value: 5
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            – TitleFull: Environmental Monitoring & Assessment
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