Oscillations and Hydroclimatic Dependence of EVI and Phenology in a Central European Peatland.
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| Title: | Oscillations and Hydroclimatic Dependence of EVI and Phenology in a Central European Peatland. |
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| 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] |
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| Database: | Engineering Source |
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| 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] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs18040593 |
