2020
DOI: 10.1101/2020.03.30.015818
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Increases in canopy mortality and their impact on the demographic structure of Europe’s forests

Abstract: Pulses of tree mortality have been reported for many ecosystems across the globe. Yet, 13 large-scale trends in tree mortality remain poorly quantified. Manually analyzing more than 14 680,000 satellite image chips at 19,896 plot locations, we here show that forest canopy mortality 15 in Europe has continuously increased since 1985 (+1.5 ± 0.28 % yr -1 ), with the highest canopy 16 mortality rate of the past 34 years observed in 2018 (1.14 ± 0.16 %). Using simulation modeling 17 we further demonstrate that … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

1
5
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 51 publications
1
5
0
Order By: Relevance
“…We here show that the previously reported increase in disturbance activity 4,6,7 is primarily an effect of increasing disturbance frequency, while disturbance patch size distributions are becoming more variable and disturbance severities are decreasing. Variation in forest policy was a more important predictor of changing disturbance frequencies than the variation in the natural template, suggesting human resource use as a major driver of change 1,4,7,32 . In contrast, the widening of the patch size distribution likely results from the combined effects of management changes (towards smaller intervention sizes) and increased natural disturbance activity (resulting in large areas of canopy removal).…”
Section: Discussionsupporting
confidence: 61%
See 2 more Smart Citations
“…We here show that the previously reported increase in disturbance activity 4,6,7 is primarily an effect of increasing disturbance frequency, while disturbance patch size distributions are becoming more variable and disturbance severities are decreasing. Variation in forest policy was a more important predictor of changing disturbance frequencies than the variation in the natural template, suggesting human resource use as a major driver of change 1,4,7,32 . In contrast, the widening of the patch size distribution likely results from the combined effects of management changes (towards smaller intervention sizes) and increased natural disturbance activity (resulting in large areas of canopy removal).…”
Section: Discussionsupporting
confidence: 61%
“…In essence, an interpreter inspects the temporal profile of a Landsat pixel and, with the help of Landsat image chips and very high-resolution imagery available in Google Earth, makes a well-informed call whether the trajectory represents a stable forest or a forest experiencing a mortality event 45 . We here used a previously established set of 19,996 interpreted Landsat pixels 4,7 . The initial sample was drawn at random within forests of Europe, with samples stratified by country.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We excluded all cells that consisted mostly of non-forest ecoregions according to Olsen et al 52 (e.g., tundra and grassland ecoregions in northern Scandinavia), which resulted in the exclusion of 200 grid cells (6%). Based on previous research we expected the average mortality rate to increase across Europe 53,54 . However, in some years there can be substantially higher mortality rates than what would be expected even under a long-term increasing trend, a fact that we here define as excess mortality.…”
Section: Methodsmentioning
confidence: 99%
“…Forest planners must take account of the current trend toward drier climate and of uncertain future conditions. Moreover, the current trend of an increase in canopy mortality in Europe will cause demographic changes in European forests [99], thus altering the properties and water relation of the soil-plant-atmosphere continuum in forests.…”
Section: Discussionmentioning
confidence: 99%