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Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe
- Source :
- Remote Sensing, Vol 12, Iss 11, p 1805 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- In this paper, cross-spectrum analysis was used to verify the agreement of periodicity between the global LAI (leaf area index) and climate factors. The results demonstrated that the LAI of deciduous forests and permanent wetlands have high agreement with temperature, rainfall and radiation over annual cycles. A low agreement between the LAI and seasonal climate variables was observed for some of the temperate and tropical vegetation types including shrublands and evergreen broadleaf forests, possibly due to the diversity of vegetation and human activities. Across all vegetation types, the LAI demonstrated a large time lag following variation in radiation (>1 month), whereas relatively short lag periods were observed between the LAI and annual temperature (around 2 weeks)/rainfall patterns (less than 10 days), suggesting that the impact of radiation on global vegetation growth is relatively slow, which is in accord with the results of previous studies. This work can provide a benchmark of the phenological drivers in global vegetation, from the perspective of periodicity, as well as helping to parameterize and refine the DGVMs (Dynamic Global Vegetation Models) for different vegetation types.
- Subjects :
- cross-spectrum analysis
time lag effect
phenology
LAI
temperature
rainfall
Science
Subjects
Details
- Language :
- English
- ISSN :
- 12111805 and 20724292
- Volume :
- 12
- Issue :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.be1f2aa7c58e4572b0de3309e7c8bb1d
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/rs12111805