New study refutes research about Sierra Nevada forest
Xinhua, May 15, 2017 Adjust font size:
A new study has found significant flaws in the research used to challenge the U.S. Forest Service plan to restore Sierra Nevada forests to less dense, and less fire-prone, environments.
Until recently, the consensus among forest ecologists was that before European settlers arrived in the Sierra, the forests were mostly open conifer forests dominated by big trees and low-to-moderately severe fires every eight to 12 years.
The Forest Service, an agency of the U.S. Department of Agriculture that administers the nation's 154 national forests and 20 national grasslands, recently released a plan to restore the range's forests back to this state following decades of fire suppression and timber harvesting regulations, which have created dense, fire-prone forests.
However, using a newly developed methodology, recent studies have argued that the Sierra Nevada was a more dense forest than the consensus view. These new studies were used to back a lawsuit to stop the agency's plan to restore Sierra forests following the 2013 Rim Fire, a wildfire that started in a remote canyon in Stanislaus National Forest, as a portion of the central Sierra Nevada in California, and burned 1,041 square kilometers, or 257,314 acres, making it the largest wildfire on record in the Sierra Nevada mountain range.
Published online in the journal Ecological Applications, the new University of California, Berkeley, study refutes the conclusions of these studies and identifies flaws in their methods. "We went through the data and showed that, in every case, this method estimated that the density of trees was two to three times higher than was the reality," said Carrie Levine, a Ph.D. student of forest ecology at Berkeley and lead author of the study.
Running 640 kilometers, or 400 miles, north-to-south, and about 110 kilometers, or 70 miles, east-to-west, the Sierra Nevada is a mountain range in the Western United States, between the Central Valley of California and the Basin and Range Province. The vast majority of the range lies in California.
When the United States was divvying up land in the West in the late 19th and early 20th centuries, the General Land Office performed surveys so that the land could be parceled and sold. Land was divided into square-mile blocks, with markers used to indicate every corner point. In case a marker was moved, so-called "witness trees" near the stake were identified as reference points. The result of this data is a grid survey of the entire American West.
Using this historic field data, two ecologists at the University of Wyoming developed a method that claims to calculate the area that a tree occupies, which is then used to calculate a forest's density. This approach is based on the observation that trees create space to keep other trees from cramming next to them, and that this space correlates to a tree's species and size.
To assess the validity of this area-based method of density estimation in the Sierra Nevada, Levine and her co-authors assembled data from plots of mapped trees across the Sierra and Baja California, Mexico, and tested the performance of the area-based method in these mapped stands where the true density was known. They found that the area-based method has two basic flaws when applied to the Sierra, the most notable being an inability to actually predict the area that a tree occupies based on its species and size due to a weak relationship between these variables. The other flaw was a failure to account for differences in the number of trees sampled at each corner.
The methodological flaws led to an inflated number of trees estimated in a pre-European Sierra Nevada forest, Levine and colleagues argued.
"We have a mapped plot where every tree is measured, so we know the true density," Levine was quoted as saying in a news release. "As climate changes, we want to have an accurate understanding of the past. This allows us to manage for forests that are resilient to the changes we're expecting in the future." Endit