Vegetation phenology variability based on Tibetan Plateau tree-ring data

New perspective: Vegetation phenology variability based on tibetan plateau tree-ring data
Characteristics of all the averaged SOS (A) and EOS (B) on the entire study region during the period 1960-2014. Dashed lines indicate linear trends for the periods 1960-2014 (black line), 1982-2014 (red line) and 1960-1981 (blue line), respectively. Error bars indicate standard deviation among the 20 composite sites Credit: YANG Bao

In recent years, researchers have focused on how vegetation phenology on the Tibetan Plateau (TP), the Earth's largest surface area above 4000 m ASL, responds to rising temperatures. An increase in growth activity of high-elevation vegetation on the TP may have a considerable impact on the regional carbon budget.

One widely used method for vegetation is collection of data. However, divergent results from analysis of remote sensing results have been obtained regarding the rate of change in spring phenology and its relation to climatic drivers on the TP.

Furthermore, satellite remote sensing records only cover the last 30 years, thus significantly limiting the statistical confidence we can place in such methods of trend detection. A dataset that covers a much longer period is needed to resolve current disagreements.

Recently, a research group headed by Prof. YANG Bao from the Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources of the Chinese Academy of Sciences, together with coauthors from Russia, Germany, Canada and Sweden, has reconciled these conflicting results based on a 55-year data of vegetation phenology for the TP derived from well-validated process-based Vaganov-Shashkin model (V-S) simulations of tree-ring growth data.

The results have been published in the journal PNAS in an article titled "New Perspective on Spring Vegetation Phenology and Global Climate Change Based on Tibetan Plateau Tree-ring Data."

New perspective: Vegetation phenology variability based on tibetan plateau tree-ring data
Comparison of our simulated SOS and EOS with the respective series derived from remote sensing data Credit: YANG Bao

The researchers found that the start of the growing season (SOS) advanced on average 0.28 days/year over the period 1960-2014. The end of the growing season (EOS) was delayed an estimated 0.33 days/year during the period 1982-2014.

No significant changes in SOS or EOS were observed from 1960-1981. April-June and August-September minimum temperatures are the main climatic drivers for SOS and EOS, respectively. An increase of 1°C in the April-June minimum temperature shifted the dates of xylem phenology by six to seven days, lengthening the period of tree ring formation.

This approach could be extended to other forested regions of the world. Scaling up the analysis would provide additional information on phenological responses of terrestrial ecosystems to ongoing climate change across the Northern Hemisphere.


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More information: Bao Yang el al., "New perspective on spring vegetation phenology and global climate change based on Tibetan Plateau tree-ring data," PNAS (2017). www.pnas.org/cgi/doi/10.1073/pnas.1616608114
Citation: Vegetation phenology variability based on Tibetan Plateau tree-ring data (2017, June 22) retrieved 15 October 2019 from https://phys.org/news/2017-06-vegetation-phenology-variability-based-tibetan.html
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