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Lars Eklundh

Professor

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ANALYSIS OF PLANT PHENOLOGY DYNAMICS IN SPAIN FROM 1983 TO 2020 USING SATELLITE IMAGERY

Författare

  • Maria Adell-Michavila
  • Sergio M. Vicente-Serrano
  • Raquel Montorio-Lloveria
  • Zangzang Cai
  • Lars Eklundh

Summary, in English

This study spatially analyzes plant phenology and its variations over time in mainland Spain and the Balearic Islands. To conduct the analysis, a nearly 40-year span time series (1983-2020) was generated by merging NDVI vegetation index values from satellite images sourced from NOAA-AVHRR and MODIS sensors. The phenological variables were calculated using TIMESAT 3.3, which extracted 13 phenometrics whose trends were evaluated using the Theil-Sen model, and their significance was assessed with the Mann-Kendall test. The results reveal regional differences between Eurosiberian Spain and the Mediterranean region regarding the start and end phases of the season. On average, the Eurosiberian zones have experienced delays in their season start and end dates, by approximately 0.35 and 0.22 days per year over the study period, respectively, while the Mediterranean region has seen an advancement in leaf-out and senescence dates by about 0.07 and 0.05 days per year. A greening trend across the entire study area and significant contrasts among land covers have also been observed, opening avenues for future studies to delve deeper into these behavioral differences and their interactions with changes in climate and land management.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap
  • MERGE: ModElling the Regional and Global Earth system
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • LU profilområde: Naturbaserade framtidslösningar

Publiceringsår

2024-06

Språk

Engelska

Sidor

145-178

Publikation/Tidskrift/Serie

Geographical Research Letters

Volym

50

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

University of La Rioja

Ämne

  • Physical Geography

Nyckelord

  • global change
  • MODIS
  • NDVI
  • NOAA-AVHRR
  • Plant phenology
  • remote sensing

Aktiv

Published

ISBN/ISSN/Övrigt

  • ISSN: 0211-6820