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New method of analyzing tree rings confirms unprecedented warming in Central Asia


New method of analyzing tree rings confirms unprecedented warming in Central Asia

Baatarbileg Nachin and Brendan Buckley collected a tree ring core from 1250 Siberian larch. The photo was taken in August 1998. Image Credit: Neil Pederson

A relatively new method of annual ring analysis allows researchers to reconstruct the temperature in Mongolia since 1269 AD. The new reconstruction confirms that since the 1990s, summer temperatures have been the warmest in the region in the past eight centuries.

Published on Geophysical Research Letters, The study was created by Nicole David, A part-time senior research scientist at Columbia University’s Lamont-Dougherty Earth Observatory.

Central Asia is one of them The fastest temperature rise Places on earth. In the past 15 years alone, summer temperatures have risen by 1.59 degrees Celsius, or close to 3 degrees Fahrenheit—almost three times the global average temperature. During the same period, the area suffered extreme and prolonged drought.

To date, there are only a few long-term climate records in Central Asia that can help bring these trends into context.Analyzing the growth rings of trees can tell scientists Temperature and precipitation pattern Hundreds or thousands of years ago, but appropriate old trees and logs in the area may be difficult to sample, partly because of their remoteness.

The scarcity of tree ring data in this area makes new reconstruction work particularly important. To create it, David and her colleagues analyzed tree ring cores originally collected for projects led by her mentor in 1998 and 2005. Gordon Jacoby, Co-founder of Lamont Tree Ring Lab. Jacoby has been trying to use the ring width to reconstruct the temperature history of the area, but the data is not strong enough, so he put it aside. Before Jacoby died in 2014, David asked for permission to take over the project.

Research sample site map

The map of Mongolia shows the locations of the stations included in the study (BU, KK, and OZN, represented by triangles). The blue and red dots indicate the weather station that recorded the temperature. Image source: Davi et al./Geophysical Research Letters 2021

The samples came from several high-altitude forests in western Mongolia. “People think it is this vast grassland system, but there are some extraordinary ancient forests all over the country, and they are very primitive,” David said. She added that these locations are very remote. “To reach these forests is a considerable expedition.”

A video clip recorded by Gordon Jacoby shows one of the study sites and the surrounding vegetation and landscape.

The core comes from living Siberian larch trees and residual woods dating back 400 to 500 years-old trees that have fallen but not decayed due to cold and dry conditions. Davi said: “When we found waste wood, it was very exciting because we knew we could go back even further.”

She wanted to make full use of the sample. Since the ring width model has not yet been completed, the team decided to try a different analysis method: measuring the density of the wood. This is done by taking a very thin tree core-thinner than human hair-and shining light through it. More light will penetrate the less dense rings, and the less dense rings indicate colder growth conditions. Davi and her team tried this method, but unfortunately, she said: “It’s expensive, it takes a lot of time, and it’s very destructive. It destroys the core and we can’t get what we need.”

Finally, the team turned to a newer method, which was put into use a few years ago and showed encouraging results. This method is called delta blue intensity, and it looks at the degree to which each ring reflects blue light in its late wood (the darker band formed later in the growing season) compared to the lighter early wood. The less dense wood produced due to colder conditions absorbs less blue light.

The stronger results from the delta blue light technology allowed the team to build a model of the summer temperature in the region from 1269 AD to 2004. The reconstruction matches data from regional weather stations dating back to the 1950s and related cooling events, accompanied by several large-scale volcanic eruptions.

For David, publishing these findings is of great significance to individuals. “Gordon Jacoby is my PhD supervisor, mentor and friend,” she said. “We went on field trips together and went through a lot of adventures. It definitely feels good to end some of the research he started.”

Davi said these findings support the increasing potential of the delta blue intensity method to improve our understanding of past climates. They also brought the warming of Central Asia into the background and strengthened their predictions. According to this prediction, the region is expected to warm by another 3 to 6 degrees Celsius (5.4 to 10.8 degrees Fahrenheit) by the end of this century.Rapid warming is already damaging fragile ecosystems and causing destructive Livestock loss For the herders who have traditionally formed the backbone of Mongolia’s economy.

The forest on the side of the mountain overlooks the valley

One of the forests sampled in the study.Source: Gordon Jacoby’s video

“What does this mean for Mongolia’s livelihood?” David asked. “This is a major agricultural culture. Some people live in cities, but some are nomads who have lived in the same way for thousands of years. This reconstruction undoubtedly adds to the warming and global climate models of the past few decades. The background shows what it will look like in the future.”

The document recommends continued investment in infrastructure and climate adaptation programs, such as index-based livestock insurance, to help communities cope with changing conditions.

The co-authors of this new study include several members of the Tree Ring Laboratory at Columbia University’s Lamont-Dougherty Earth Observatory – Mukund Rao, Robert Wilson, Laia Andreu-Hayles, Rose Oelkers, Rosanne D’Arrigo, Baatarbileg Nachin, Brendan Buckley and Caroline Leland-as well as Neil Pederson of Harvard University and Byambagerel Suran of Mongolian National University.




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