Detecting long-term canopy change and vegetation shifts in northern peatlands using LAI and climate data
Abstract. Peatlands store vast amounts of carbon, yet their canopies are changing under northern warming. We assessed recent vegetation trajectories by analysing greening and browning across northern peatlands using a gap-filled, sensor-independent climate data record of leaf area index (LAI) for 2001–2023. To our knowledge, this provides the first multi-decadal, peatland-specific assessment of canopy trends based strictly on mapped peatlands. Although greening was widespread at the pixel level (77 % of peatlands; greening-to-browning ratio 3.5:1), the area-weighted LAI trend at the map scale was not significant. LAI anomalies were weakly positively correlated with temperature and weakly negatively correlated with precipitation. Higher tree cover was associated with less greening, with a smaller effect observed in areas with deciduous needleleaf forests and under higher precipitation. Decadal variability left a regional, non-linear imprint: most pixels showed no breakpoints, but where present they often were temporally aligned with phase shifts in the Pacific Decadal Oscillation (PDO). Cup-shaped trends were concentrated in West Siberia, whereas hat-shaped trends were widespread across Europe, northeastern Asia, and Canada. Protected peatlands did not show different LAI trends when differences in climate and canopy were taken into account. Overall, recent peatland canopy change was not a uniform increase in greenness but reflected moisture-sensitive, composition-dependent responses modulated by decadal climate variability. Together, these results provide a circumpolar, peatland-specific baseline that clarifies where and why LAI is changing and enables evaluation of how moisture conditions, decadal variability, canopy composition, and protection status relate to recent canopy trajectories in northern peatlands.
This study detected long-term canopy change and vegetation shifts in northern peatlands using LAI and climate data. The innovation of the article is now reflected in the peatland map and conclusions about there is no significant trends in peatlands. The study is consistent with the journal’s scope, supported by rich datasets and thorough analyses, and the topic holds clear scientific significance. Overall, this research has certain significance in long-term vegetation shifts in northern peatlands, but it still needs to be modified to improve.
Abstract
Q1: Lins 16-17: What is the means of Cup-shaped trends? And hat-shaped trends? These are not mentioned before. Pls delete is or explain more.
1 Introduction
Q2: Lines 54-56: “This provides, to our knowledge, the first multi-decadal, peatland-specific assessment of canopy trends based strictly on mapped peatlands, rather than generic boreal or Arctic ecosystems.” Could the author elaborate on this point? It's the most innovative aspect of the article and understanding it would be crucial for readers.
2 Data
Q3: Section 2.1: Authors listed some datasets, could you also list the link for these datasets?
3 Methods
Q4: Can you provide a flowchart to help highlight the understanding of the entire study?
Q5: Section 3.1: Can you add some formulas to help explain this part?
4 Results
Q6: Fig. 5: Numbers at bar ends give the count of overlapping pixels. However, this is quite confusing and should be deleted. Additionally, this figure should be optimized, and it looks significantly different from the other figures.
5 Discussions
Q7: The discussion is well designed. However, only LAI discussed here, can you discuss other metrics also (e.g., NDVI, EVI, and GPP)?