Literature DB >> 30805728

New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudes.

Hongxiao Jin1, Anna Maria Jönsson2, Cecilia Olsson2,3, Johan Lindström4, Per Jönsson5, Lars Eklundh2.   

Abstract

Recent climate warming has altered plant phenology at northern European latitudes, but conclusions regarding the spatial patterns of phenological change and relationships with climate are still challenging as quantitative estimates are strongly diverging. To generate consistent estimates of broad-scale spatially continuous spring plant phenology at northern European latitudes (> 50° N) from 2000 to 2016, we used a novel vegetation index, the plant phenology index (PPI), derived from MODerate-resolution Imaging Spectroradiometer (MODIS) data. To obtain realistic and strong estimates, the phenology trends and their relationships with temperature and precipitation over the past 17 years were analyzed using a panel data method. We found that in the studied region the start of the growing season (SOS) has on average advanced by 0.30 day year-1. The SOS showed an overall advancement rate of 2.47 day °C-1 to spring warming, and 0.18 day cm-1 to decreasing precipitation in spring. The previous winter and summer temperature had important effects on the SOS but were spatially heterogeneous. Overall, the onset of SOS was delayed 0.66 day °C-1 by winter warming and 0.56 day °C-1 by preceding summer warming. The precipitation in winter and summer influenced the SOS in a relatively weak and complex manner. The findings indicate rapid recent phenological changes driven by combined seasonal climates in northern Europe. Previously unknown spatial patterns of phenological change and relationships with climate drivers are presented that improve our capacity to understand and foresee future climate effects on vegetation.

Entities:  

Keywords:  Climate sensitivity; Northern European latitudes; Plant phenology index (PPI); Remote sensing; Spring phenology trend

Mesh:

Year:  2019        PMID: 30805728     DOI: 10.1007/s00484-019-01690-5

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  2 in total

1.  Forward Modeling Reveals Multidecadal Trends in Cambial Kinetics and Phenology at Treeline.

Authors:  Jan Tumajer; Jakub Kašpar; Hana Kuželová; Vladimir V Shishov; Ivan I Tychkov; Margarita I Popkova; Eugene A Vaganov; Václav Treml
Journal:  Front Plant Sci       Date:  2021-01-28       Impact factor: 5.753

2.  Climatic Drivers of the Complex Phenology of the Mediterranean Semi-Deciduous Shrub Phlomis fruticosa Based on Satellite-Derived EVI.

Authors:  Aris Kyparissis; Efi Levizou
Journal:  Plants (Basel)       Date:  2022-02-22
  2 in total

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