View in EDS HTML Full Text PDF Full Text

Oscillations and Hydroclimatic Dependence of EVI and Phenology in a Central European Peatland.

Saved in:
Bibliographic Details
Title: Oscillations and Hydroclimatic Dependence of EVI and Phenology in a Central European Peatland.
Authors: Albert-Saiz, Mar1 (AUTHOR), Antala, Michal2 (AUTHOR), Stróżecki, Marcin1 (AUTHOR), Rastogi, Anshu1,2 (AUTHOR), Juszczak, Radoslaw1 (AUTHOR) radoslaw.juszczak@up.poznan.pl
Source: Remote Sensing. Feb2026, Vol. 18 Issue 4, p593. 21p.
Subjects: Plant phenology, Peat bogs, Vegetation dynamics, Vegetation greenness, Satellite-based remote sensing, Climate change, Phenology
Geographic Terms: Poland
Abstract: Highlights: What are the main findings? Peatland-wide phenology trends broke in 2020–2021, with lengthening seasons and higher greenness until 2020, shorter seasons in 2021, and partial recovery after. Vegetation patches show differences in their responses and dependence: (i) Sphagnum-Carex mats had the longest seasons but the weakest hydroclimatic links; (ii) Phragmites mats showed the shortest and most variable seasons; (iii) willow forests were the most stable; (iv) transitional zones were the most hydrology-sensitive. What are the implications of the main findings? Temperature dominates EVI across patches. Meanwhile, phase-aligned water-table depth and precipitation windows better predict phenology than annual means, requiring site-specific phenophase averages. High-resolution satellite monitoring is essential for detecting nonlinear vegetation reorganisation in drying peatlands and informing targeted conservation of functional regions. Current climatic conditions are drying peatland ecosystems, compromising carbon storage through increased decomposition and vegetation shifts. Large-scale monitoring is essential to quantify climate change impacts on vegetation and hydrology. PlanetScope high-resolution imagery (3 m pixel) over seven years (2017–2023) served as proof-of-concept for a central European peatland (Rzecin, Poland). The enhanced vegetation index (EVI) was selected based on ground validation (R = 0.9 vs. 0.8 for NDVI-normalised vegetation index). Phenological metrics (SOS—start of the season; EOS—end of the season; LOS—length of the season; POS—peak of the season; EVImax; amplitude; area) were derived via DATimeS from snow-free EVI time series. Trends were analysed using pixel-wise slopes, change-point detection (break ~2020–2021), paired correlations, subarea (P1–P4) behaviour, and PCA, alongside air temperature (Tair), precipitation, and water table depth (WTD). Results revealed LOS and peak EVI increased until 2020, a 2021 break, and a 2022–2023 recovery, signalling nonlinear vegetation reorganisation. Transitional mire floating mats (Sphagnum spp.–Carex spp.–Vaccinium oxycoccus) showed the longest seasons/highest greenness but weakest hydrometeorological links, implying rising internal dynamics. Phragmites mats, fern–sedge edges, and riparian willow differed in tolerance or sensitivity to WTD and precipitation oscillations. Tair dominated EVI seasonality across types, while WTD and precipitation controlled phenology and greenness in edges, showing better results with phase-aligned means. Vascular plants outpaced mosses in peak EVI and persistence, with patch-specific shifts. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI 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.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 191972678
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Oscillations and Hydroclimatic Dependence of EVI and Phenology in a Central European Peatland.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Albert-Saiz%2C+Mar%22">Albert-Saiz, Mar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Antala%2C+Michal%22">Antala, Michal</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stróżecki%2C+Marcin%22">Stróżecki, Marcin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rastogi%2C+Anshu%22">Rastogi, Anshu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Juszczak%2C+Radoslaw%22">Juszczak, Radoslaw</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> radoslaw.juszczak@up.poznan.pl</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Feb2026, Vol. 18 Issue 4, p593. 21p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Plant+phenology%22">Plant phenology</searchLink><br /><searchLink fieldCode="DE" term="%22Peat+bogs%22">Peat bogs</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+dynamics%22">Vegetation dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+greenness%22">Vegetation greenness</searchLink><br /><searchLink fieldCode="DE" term="%22Satellite-based+remote+sensing%22">Satellite-based remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Phenology%22">Phenology</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Poland%22">Poland</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? Peatland-wide phenology trends broke in 2020–2021, with lengthening seasons and higher greenness until 2020, shorter seasons in 2021, and partial recovery after. Vegetation patches show differences in their responses and dependence: (i) Sphagnum-Carex mats had the longest seasons but the weakest hydroclimatic links; (ii) Phragmites mats showed the shortest and most variable seasons; (iii) willow forests were the most stable; (iv) transitional zones were the most hydrology-sensitive. What are the implications of the main findings? Temperature dominates EVI across patches. Meanwhile, phase-aligned water-table depth and precipitation windows better predict phenology than annual means, requiring site-specific phenophase averages. High-resolution satellite monitoring is essential for detecting nonlinear vegetation reorganisation in drying peatlands and informing targeted conservation of functional regions. Current climatic conditions are drying peatland ecosystems, compromising carbon storage through increased decomposition and vegetation shifts. Large-scale monitoring is essential to quantify climate change impacts on vegetation and hydrology. PlanetScope high-resolution imagery (3 m pixel) over seven years (2017–2023) served as proof-of-concept for a central European peatland (Rzecin, Poland). The enhanced vegetation index (EVI) was selected based on ground validation (R = 0.9 vs. 0.8 for NDVI-normalised vegetation index). Phenological metrics (SOS—start of the season; EOS—end of the season; LOS—length of the season; POS—peak of the season; EVImax; amplitude; area) were derived via DATimeS from snow-free EVI time series. Trends were analysed using pixel-wise slopes, change-point detection (break ~2020–2021), paired correlations, subarea (P1–P4) behaviour, and PCA, alongside air temperature (Tair), precipitation, and water table depth (WTD). Results revealed LOS and peak EVI increased until 2020, a 2021 break, and a 2022–2023 recovery, signalling nonlinear vegetation reorganisation. Transitional mire floating mats (Sphagnum spp.–Carex spp.–Vaccinium oxycoccus) showed the longest seasons/highest greenness but weakest hydrometeorological links, implying rising internal dynamics. Phragmites mats, fern–sedge edges, and riparian willow differed in tolerance or sensitivity to WTD and precipitation oscillations. Tair dominated EVI seasonality across types, while WTD and precipitation controlled phenology and greenness in edges, showing better results with phase-aligned means. Vascular plants outpaced mosses in peak EVI and persistence, with patch-specific shifts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing is the property of MDPI 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191972678
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs18040593
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 593
    Subjects:
      – SubjectFull: Plant phenology
        Type: general
      – SubjectFull: Peat bogs
        Type: general
      – SubjectFull: Vegetation dynamics
        Type: general
      – SubjectFull: Vegetation greenness
        Type: general
      – SubjectFull: Satellite-based remote sensing
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Phenology
        Type: general
      – SubjectFull: Poland
        Type: general
    Titles:
      – TitleFull: Oscillations and Hydroclimatic Dependence of EVI and Phenology in a Central European Peatland.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Albert-Saiz, Mar
      – PersonEntity:
          Name:
            NameFull: Antala, Michal
      – PersonEntity:
          Name:
            NameFull: Stróżecki, Marcin
      – PersonEntity:
          Name:
            NameFull: Rastogi, Anshu
      – PersonEntity:
          Name:
            NameFull: Juszczak, Radoslaw
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1