Back

An allometric study of the contribution of prostrate stems to belowground development of juvenile Fagus crenata

Shimizu, Y.; Tondokoro, Y.; Ida, H.

2024-05-02 ecology
10.1101/2024.04.29.591533 bioRxiv
Show abstract

Prostrate stems represent an important morphological component of Fagus crenata (Siebolds beech). This unique stem-bending growth strategy has led to the dominance of this tree species in regions with heavy snowfall along the Sea of Japan. We investigated the early-stage aboveground-belowground dynamics of F. crenata by applying allometric scaling theory to analyze morphological development in saplings (aged 3-20 years). Samples were collected from 25 trees in three forests in Nagano, central Japan. The scaling exponent (b) demonstrated an increase in the fraction of aboveground biomass (i.e., dry mass) in relation to the overall surface area (aboveground, b = 0.748; belowground, b = 0.626) and biomass (aboveground, b = 1.087; belowground, b = 0.983). These values are highly consistent with recent field observations by other researchers. Aboveground biomass growth was supported by the increasing role of prostrate stems in belowground development (b = 1.114). Despite its extension belowground, the growth properties of the prostrate stem may be identical to those of shoots, as both are directly influenced by nutrient sources above the germination point. Our findings highlight the significance of the prostrate stem in supporting beech survival in areas with heavy snowfall.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Tree Physiology
◐ 24 papers in training set
Top 0.1%
11.5%
Similar papers in this journal
2
Forest Ecology and Management
○ 27 papers in training set
Top 0.1%
9.4%
Similar papers in this journal
3
Annals of Botany
◐ 50 papers in training set
Top 0.2%
7.6%
Similar papers in this journal
4
American Journal of Botany
○ 47 papers in training set
Top 0.1%
7.0%
Similar papers in this journal
5
Biotropica
○ 17 papers in training set
Top 0.1%
5.3%
Similar papers in this journal
6
PLOS ONE
● 5266 papers in training set
Top 28%
5.3%
7
Journal of Ecology
○ 49 papers in training set
Top 0.2%
5.3%
50% of probability mass above
8
Oecologia
○ 28 papers in training set
Top 0.1%
4.7%
9
Ecology and Evolution
○ 267 papers in training set
Top 2%
3.1%
10
Ecology
○ 85 papers in training set
Top 0.7%
3.1%
11
Ecosphere
○ 57 papers in training set
Top 0.4%
3.1%
12
Plant, Cell & Environment
○ 78 papers in training set
Top 1.0%
2.6%
13
New Phytologist
○ 346 papers in training set
Top 3%
1.8%
14
Hydrobiologia
○ 12 papers in training set
Top 0.2%
1.6%
15
Basic and Applied Ecology
○ 11 papers in training set
Top 0.2%
1.6%
16
The American Naturalist
● 125 papers in training set
Top 1%
1.4%
17
Functional Ecology
○ 61 papers in training set
Top 0.9%
1.4%
18
Plant Biology
○ 15 papers in training set
Top 0.2%
1.4%
19
Frontiers in Plant Science
○ 256 papers in training set
Top 3%
1.4%
20
Ecological Monographs
○ 21 papers in training set
Top 0.4%
1.3%
21
Journal of Experimental Botany
◐ 219 papers in training set
Top 3%
1.1%
22
PeerJ
◐ 308 papers in training set
Top 9%
1.0%
23
Scientific Reports
○ 3612 papers in training set
Top 68%
1.0%
24
Science of The Total Environment
○ 186 papers in training set
Top 3%
1.0%
25
Oikos
○ 84 papers in training set
Top 1%
0.9%
26
Frontiers in Ecology and Evolution
○ 69 papers in training set
Top 3%
0.8%
27
eLife
● 5828 papers in training set
Top 68%
0.8%
28
Communications Biology
○ 993 papers in training set
Top 32%
0.8%
29
Peer Community Journal
● 281 papers in training set
Top 5%
0.8%
30
Population Ecology
○ 10 papers in training set
Top 0.3%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.