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Open AccessArticle

Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe

1
College of Urban and Environment Sciences, Peking University, Beijing 100871, China
2
Geography, College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(11), 1805; https://doi.org/10.3390/rs12111805
Received: 29 April 2020 / Revised: 21 May 2020 / Accepted: 1 June 2020 / Published: 3 June 2020
(This article belongs to the Special Issue Monitoring Vegetation Phenology: Trends and Anomalies)
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. View Full-Text
Keywords: cross-spectrum analysis; time lag effect; phenology; LAI; temperature; rainfall; radiation; periodicity cross-spectrum analysis; time lag effect; phenology; LAI; temperature; rainfall; radiation; periodicity
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MDPI and ACS Style

Liang, B.; Liu, H.; Chen, X.; Zhu, X.; Cressey, E.L.; Quine, T.A. Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe. Remote Sens. 2020, 12, 1805. https://doi.org/10.3390/rs12111805

AMA Style

Liang B, Liu H, Chen X, Zhu X, Cressey EL, Quine TA. Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe. Remote Sensing. 2020; 12(11):1805. https://doi.org/10.3390/rs12111805

Chicago/Turabian Style

Liang, Boyi; Liu, Hongyan; Chen, Xiaoqiu; Zhu, Xinrong; Cressey, Elizabeth L.; Quine, Timothy A. 2020. "Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe" Remote Sens. 12, no. 11: 1805. https://doi.org/10.3390/rs12111805

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