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Title:
TSQ: Site B shrub neighbourhood (realised)
Access rights:
Free within projects
Usage rights:
Free within TreeDi project
Published:
No information available
Abstract:
For each TSQ, the nearest surrounding shrubs were identified. The diversity and density were calculated.
Design:
As the distance between the planted trees and shrubs are relatively close, it seemed highly likely that the next row of shrubs and trees planted outside the TSQ would also interact and/or influence the focal shrub. Therefore, these shrubs and trees (from here on referred to as neighbouring shrubs and trees) were identified to species level. The neighbourhood scheme/design (see final sheet) was created, where Tree neighbour 1 (N1) is positioned in the South-West of the TSQ, and N2-N12 follow in a clockwise direction. Similarly for the shrubs, Shrub neighbour 1 (S1) is located South-West of the TSQ, and S2-S8 follow in a clockwise direction around the TSQ. An R script was created to calculate the coordinates of neighbouring shrubs and trees, given the coordinate of the focal shrub. The outputs were used in the field to easily find the trees and shrubs labelled with the coordinates. Non-living or absent individuals were classified as either “missing” (nothing present) or “dead” (dead trunk present). These are marked as "M" and "D" in the data, respectively. "NA" was used for tree-only or shrub-only plots, where shrubs and trees were not present, respectively. Living individuals that could not be identified to species level were recorded as “unknown.” This was often the case for extremely small shrubs, particularly those with few remaining leaves. Unknown species were compared to the past years species identifications to aid with the identification. Species identifications were cross-checked against the species composition lists of the planted plots to detect possible errors and to assist in confirming uncertain identifications. However, some shrub species recorded were not part of the original planting design (e.g. Loropetalum chinense), indicating that they had likely established naturally. Because most small shrubs had lost their original tags, it was not possible to determine whether individuals matching the composition list were planted or self-established. Additionally, for the neighbourhood of Site A, multiple shrub individuals were often found at the same coordinate position. Consequently, the experimental neighbourhood does not necessarily reflect the realised neighbourhood.
Spatial extent:
BEF-China experiment, located near Xingangshang, Dexing City of Jiangxi Province, Site B
Temporal extent:
No information available
Taxonomic extent:
Shrubs; Viburnum setigerum, Photinia hirsuta, Rhododendron ovatum, Phyllanthus glaucus, Rhododendron simsii, Hydrangea chinensis, Distylium buxifolium, Distylium myricoides, Syzygium buxifolium, Loropetalum chinense, Euonymus myrianthus
Measurement cirumstances:
No information available
Data analysis:
Based on these data, the neighbourhood diversity (species richness) and density (number of living individuals) surrounding each focal shrub were calculated separately for an original experimental design version and a realised version (Site A). For the experimental data, species which should not be there, according to the composition list, were excluded. When there was more than one shrub in a position, if it was unclear which was planted (due to missing tags), both were included in the diversity count, but not in the density count. Thus the density count for neighbouring shrubs could not exceed eight. Diversity and density were calculated manually, following these rules. For the trees, there were never more than one individual per location. However, species which should not occur there based on the species composition list, were excluded; one TSQ in which a shrub was planted instead of a tree.; this species was excluded from the diversity count. For the realised tree neighbourhoods, an R code was used to calculate density and diversity, as well as the diversity of the shrub neighbourhood. Only those coordinates for which there were more than one species present, the diversity was calculated manually. Species which should not be planted in the plot were still included in both the density and diversity counts. Unknown or uncertain species were still included in the density count, but not the diversity count (to prevent over-estimation). For the diversity and density of the shrubs, all species were included, regardless if they belonged there or not (i.e. were unplanted). After both the realised and experimental versions of the neighbourhood for Site A (both shrubs and trees) was finalised, the two versions for the shrub density and diversity were compared: this is because the biggest differences in density and diversity for the different methods was biggest in shrubs, as there were so many unplanted shrubs and species occurring in plots they should not. This showed a significant difference in both diversity (t = -5.2787, p-value = 7.058e-07) and density (t = -6.0831, p-value = 1.86e-08) between the realised and experimental values. Therefore, the final data used for further analyses was the realised data. To keep the method consistent, the same procedure was followed for the neighbourhood data from Site B.

Filter:
Dataset column

Name:
plot
Definition:
Location within the site; Datagroup description: In the BEF-China Experiment, the sites were divided into 1mu plots, where trees and shrubs were planted in 2009 for Site A. In each 1-mu plot, 400 trees were planted with a distance of 1.29m between. Shrubs were planted in 4mu Superplots, with different shrub diversity levels, in the interspaces of the trees (0.91m to the nearest tree).
Unit:
No information available
Datagroup:
Identifier
Keywords:
location
Values:
G28
F29
E26
F28
F27
Contributors:
No information available

Dataset column

Name:
Shrub_ID
Definition:
Identification of the invidual shrubs, within the TSQS; Datagroup description: Within the plots, Tree Species Quadrats (TSQs) were created, which consist of a focal shrub in the centre and 4 surrounding trees, one on either corner of the quadrat. However, due to the high mortality rates of several species, many of the TSQs have less than 4 surrounding trees. The shrub coordinate, which is the same as the coordinate of the nearest tree in the SW direction (T1 of the TSQ), consists of four digits, representing the x and y coordinate (or row/column of the trees in the plot)
Unit:
Four-digit coordinate
Datagroup:
Identifier
Keywords:
location
Values:
0116
0018
0117
0009
0103
Contributors:
No information available

Dataset column

Name:
S1
Definition:
Shrub neighbor 1; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
D
EuMy
DiBu
ItOm
HyCh
Contributors:
No information available

Dataset column

Name:
S2
Definition:
Shrub neighbor 2; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
DiBu
ItOm
HyCh
M
NA
Contributors:
No information available

Dataset column

Name:
S3
Definition:
Shrub neighbor 3; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
LoCh
HyCh
DiBu
ItOm
EuMy
Contributors:
No information available

Dataset column

Name:
S4
Definition:
Shrub neighbor 4; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
NA
DiBu
M
DiMy
LoCh
Contributors:
No information available

Dataset column

Name:
S5
Definition:
Shrub neighbor 5; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
EuMy
HyCh
ItOm
LoCh
DiBu
Contributors:
No information available

Dataset column

Name:
S6
Definition:
Shrub neighbor 6; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
NA
LoCh
DiBu
M
RhOv
Contributors:
No information available

Dataset column

Name:
S7
Definition:
Shrub neighbor 7; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
DiBu
NA
PhHi
LoCh
M
Contributors:
No information available

Dataset column

Name:
S8
Definition:
Shrub neighbor 8; Datagroup description: Coordinates were determined from the code (Coordinates_China_2024.R), according to the scheme developed for the neighbourhood
Unit:
Species abbreviation
Datagroup:
Identifier
Keywords:
location
Values:
D
ItOm
DiBu
HyCh
LoCh
Contributors:
No information available

Dataset column

Name:
diversity
Definition:
Number of different species of shrubs present in the neighbourhood (species richness); Datagroup description: The number of unique shrub species (richness) in the neighbourhood around the focal shrub
Unit:
No information available
Datagroup:
Diversity
Keywords:
competition
Values:
2
0
4
1
3
Contributors:
No information available

Dataset column

Name:
density
Definition:
Number of alive shrubs present in the neighbourhood
Unit:
No information available
Datagroup:
Density measure
Keywords:
competition
Values:
2
1
0
4
3
Contributors:
No information available

Dataset column

Name:
Comment
Definition:
Additional notes
Unit:
No information available
Datagroup:
Comments
Keywords:
No information available
Values:
0911 ViSe directly next to target shrub
1401 is tiny
0500/0501 are tiny; 0700 small
1814 is a tree in the shrub position, DiJa changed to DiBu
0903/0904/1005 are all tiny
Contributors:
No information available

No information available


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Attachment:

File name:
Neighbourhood_scheme.xls
Description:
Neighbourhood scheme
Uri:
No information available
Is essential:
No information available
Content type:
application/x-ole-storage
File size:
27.5 KB
Created at:
2026-01-21
Updated at:
2026-01-21

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