| Title | Debating the greening vs. browning of the North American boreal forest: differences between satellite datasets |
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| Author | Alcaraz-Segura, D; Chuvieco, E; Epstein, H E; Kasischke, E S; Trishchenko, A |
| Source | Global Change Biology vol. 16, 2010 p. 760-770, https://doi.org/10.1111/j.1365-2486.2009.01956.x |
| Image |  |
| Year | 2010 |
| Alt Series | Earth Sciences Sector, Contribution Series 20090141 |
| Publisher | Wiley-Blackwell |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Alberta; Saskatchewan |
| NTS | 62 |
| Area | North Dakota; Canada; United States of America |
| Lat/Long WENS | -110.0000 -96.0000 52.0000 44.0000 |
| Subjects | geophysics; remote sensing; vegetation |
| Illustrations | location maps; plots |
| Program | Remote Sensing Science |
| Abstract | A number of remote sensing studies have evaluated the temporal trends of the normalized difference vegetation index (NDVI or vegetation greenness) in the North American boreal forest during the last two
decades, often getting quite different results. To examine the effect that the use of different datasets might be having on the estimated trends, we compared the temporal trends of recently burned and unburned sites of boreal forest in central Canada
calculated from two datasets: the Global Inventory, Monitoring, and Modeling Studies (GIMMS), which is the most commonly used 8 km dataset, and a new 1 km dataset developed by the Canadian Centre for Remote Sensing (CCRS). We compared the NDVI trends
of both datasets along a fire severity gradient in order to evaluate the variance in regeneration rates. Temporal trends were calculated using the seasonal Mann–Kendall trend test, a rank-based, nonparametric test, which is robust against
seasonality, nonnormality, heteroscedasticity, missing values, and serial dependence. The results showed contrasting NDVI trends between the CCRS and the GIMMS datasets. The CCRS dataset showed NDVI increases in all recently burned sites and in 50%
of the unburned sites. Surprisingly, the GIMMS dataset did not capture the NDVI recovery in most burned sites and even showed NDVI declines in some burned sites one decade after fire. Between 50% and 75% of GIMMS pixels showed NDVI decreases in the
unburned forest compared with <1% of CCRS pixels. Being the most broadly used dataset for monitoring ecosystem and carbon balance changes, the bias towards negative trends in the GIMMS dataset in the North American boreal forest has broad
implications for the evaluation of vegetation and carbon dynamics in this region and globally. |
| GEOSCAN ID | 247775 |
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