the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Northward shift of boreal tree cover confirmed by satellite record
Abstract. The boreal forest has experienced the fastest warming of any forested biome in recent decades. While vegetation–climate models predict a northward migration of boreal tree cover, the long-term studies required to test the hypothesis have been confined to regional analyses, general indices of vegetation productivity, and data calibrated to other ecoregions. Here we report a comprehensive test of the magnitude, direction, and significance of changes in the distribution of the boreal forest based on the longest and highest-resolution time-series of calibrated satellite maps of tree cover to date. From 1985 to 2020, boreal tree cover expanded by 0.844 million km2, a 12 % relative increase since 1985, and shifted northward by 0.29° mean and 0.43° median latitude. Gains were concentrated between 64°– 68° N and exceeded losses at southern margins, despite stable disturbance rates across most latitudes. Forest age distributions reveal that young stands (≤36 years) now comprise 15.4 % of forest area and hold 1.1–5.9 Pg of aboveground biomass carbon, with the potential to sequester an additional 2.3–3.8 Pg C if allowed to mature. These findings confirm the global advance of the boreal forest and implicate the future importance of the region’s greening to the global carbon budget.
- Preprint
(2765 KB) - Metadata XML
-
Supplement
(3523 KB) - BibTeX
- EndNote
Status: open (until 29 Jul 2025)
-
CC1: 'Comment on egusphere-2025-2268', Richard Fernandes, 09 Jun 2025
reply
The results presented in Figure 1 and 2 rest on the temporal precision and temporal stability of the tree cover change estimates (see https://library.wmo.int/idurl/4/58111 for definition of these quantities). The Supplementary information Figure S8 panel b compares calibrated and reference tree cover. This raises three questions that should be addressed:
1. Figure S8b only shows comparisons between model predictions and LIDAR reference data. Comparisons should also be presented and summarized for the high resolution reference imagery,
2. Spatial drift - what is the change in the agreement between predicted and reference tree cover for hold out areas at the tree lines. By hold out I mean completely removing a LVIS track for an ecozone and completely removing data from a high resolution sample tile.
3. Stability - stability is defined as the change in bias over time (e.g. %/year). This is CRICTIAL to understand the uncertainty in trends shown in Figure 2. This requires having time series of reference measurements at sites rather than a spatial sampling only. This is important since the approach presented does not take steps to standardize differences between Landsat imager spectral response, phenological impacts due to changes in intra annual sampling dates, and persistent haze due to forest fires that are often not accounted for well with atmospheric correction.
Citation: https://doi.org/10.5194/egusphere-2025-2268-CC1 -
CC2: 'Comment on egusphere-2025-2268', Richard Fernandes, 09 Jun 2025
reply
The results assess trends in tree cover (%/year) using linear regression and aggregated by latitude. The authors should explain why
1. Mann-Kendall regressions were not used to account for measurement errors as done for many other climate studies.
2. Why report trends by Latitude given that the boreal zone is defined not just by latitude but by growing season length, growing degree days, in the North and often disturbances in the south. It may be more useful to report trends at the northern and southern boundaries relative to a baseline year if one wants to test theories related to the northward shift of the boreal forest.
Citation: https://doi.org/10.5194/egusphere-2025-2268-CC2 -
CC3: 'Comment on egusphere-2025-2268', Richard Fernandes, 09 Jun 2025
reply
The results related to forest age (Figure 4) have a RMSE of 17.46 years and bias of -3.27 years. This is substantial and should be reported in Results S3.3. Given that Fig 4. indicates Age ranges from 2-36 years it is not clear if the RMSE of the estimator of age is sufficiently precise to represent the Map and area of forest age without error bars / identifying areas where the age uncertainty is too large to be useful. Even aggregate ages (Fig 4 bottom) would need to first quantify bias in forest age by region and age level.
I feel this result is based on input estimates that are currently both too uncertainty and not well characterized to include them in this study.
Citation: https://doi.org/10.5194/egusphere-2025-2268-CC3 -
CC4: 'Comment on egusphere-2025-2268', Richard Fernandes, 09 Jun 2025
reply
Publisher’s note: this comment is a copy of CC3 and its content was therefore removed on 16 June 2025.
Citation: https://doi.org/10.5194/egusphere-2025-2268-CC4
Data sets
Boreal tree cover dataset Min Feng https://doi.org/10.3334/ORNLDAAC/2012
Viewed
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
119 | 32 | 7 | 158 | 13 | 6 | 3 |
- HTML: 119
- PDF: 32
- XML: 7
- Total: 158
- Supplement: 13
- BibTeX: 6
- EndNote: 3
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1