Title:
TSQ and local neighbourhood structural data
Access rights:
Private
Usage rights:
Free for members
Published:
No information available
Abstract:
This is the structural data on the canopies of the tree species quartets (TSQs) that were scanned via personal laser scanning (PLS) in the field campaigns of the summer of 2023 (Site A) and 2024 (Site B). The data includes different variables describing the structure of the canopy of the TSQs as well as their local neighbourhood (TSQ + one row of surrounding trees; LN). These are no single tree parameters but rather whole canopy describing variables. Additionally detailed slope inclinations have been extracted from the local digital terrain models (DTMs). For Site B (2024 campaign) rough aspects (10 degree precision) are also available. All variables except slope and aspect have been extracted from the PLS point clouds for the TSQ and the LN extent. Slope and aspect are available to the LN extent, as differentiating between TSQ and LN would be meaningless for these variables
Design:
A TSQ ideally consists of four adjacent trees in a 2x2 pattern, with a shrub in the middle. TSQs were selected based on a set of target shrubs. Namely Ardisia crenata, Camellia chekiangoleosa, and Distylium myricoides on Site A, and Distylium buxifolium and Viburnum setigerum on Site B. TSQs were then selected to cover the shrub and tree diversity range and have as many alive tree members as possible. Also a set of no-shrub and no-tree TSQs were selected. In total 284 TSQs have been selected. 151 on Site A in 2023 and 133 on Site B in 2024.
Spatial extent:
Main experiment, Site A & B
Temporal extent:
The TSQs were selected and scanned in August and September of 2023 on Site A and in August of 2024 on Site B.
Taxonomic extent:
Shrubs:
Ardisia crenata,
Camellia chekiangoleosa,
Distylium buxifolium,
Distylium myricoides,
Viburnum setigerum
Trees:
Alniphyllum fortunei,
Betula luminifera,
Castanopsis fargesii,
Castanopsis henryi,
Castanopsis sclerophylla,
Choerospondias axillaris,
Diospyros japonica,
Elaeocarpus chinensis,
Elaeocarpus glabripetalus,
Elaeocarpus japonicus,
Koelreuteria bipinnata,
Liquidambar formosana,
Machilus leptophylla,
Machilus thunbergii,
Manglietia fordiana,
Nyssa sinensis,
Quercus phillyraeoides,
Quercus serrata,
Sapindus mukorossi,
Schima superba,
Triadica sebifera
Measurement cirumstances:
No information available
Data analysis:
Refer to: https://github.com/ataeub/treedi-tsq-structure-pipeline
Filter:
Dataset column
Name:
year
Definition:
The year of data collection
Unit:
year
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
site
Definition:
The BEF China Site
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
tsq
Definition:
The ID of the TSQ consisting of the Plot ID and the shrub ID
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_max_ln
Definition:
The maximum height of the LN
Unit:
meter
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_mean_ln
Definition:
The mean height of the LN
Unit:
meter
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_sd_ln
Definition:
The standard deviation of the height of the LN
Unit:
meter
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_cv_ln
Definition:
The coefficient of variance of the height of the LN
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_gini_ln
Definition:
The gini index of the height of the LN
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
openness_ln
Definition:
The relative canopy openness (gap fraction) of the LN
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
enl0_ln
Definition:
Effective number of layers unweighed of the LN. ENL is a metric of stratification based on Hill numbers. ENL0 is just the number of 1m strata. Basically the stand height.
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
enl1_ln
Definition:
ENL1 of the LN. It is the number of strata weighed by the filling of each strata
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
enl2_ln
Definition:
ENL2 of the LN. It is analog to ENL1 but the filling of each strata is weighed in stronger
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
boxdim_ln
Definition:
Box dimension of the LN. This is a metric of structural complexity. The larger the value the higher the complexity.
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
slope
Definition:
The general slope of the TSQ & local neighborhood. Please only use to full degrees
Unit:
degrees
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
aspect
Definition:
The general aspect of the TSQ & local neighborhood. Please only use to 10 degrees
Unit:
degrees_north
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_max_tsq
Definition:
The maximum height of the TSQ
Unit:
meter
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_mean_tsq
Definition:
The mean height of the TSQ
Unit:
meter
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_sd_tsq
Definition:
The standard deviation of the height of the TSQ
Unit:
meter
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_cv_tsq
Definition:
The coefficient of variance of the height of the TSQ
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
chs_gini_tsq
Definition:
The gini index of the height of the TSQ
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
openness_tsq
Definition:
The relative canopy openness (gap fraction) of the TSQ
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
enl0_tsq
Definition:
Effective number of layers unweighed of the TSQ. ENL is a metric of stratification based on Hill numbers. ENL0 is just the number of 1m strata. Basically the stand height.
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
enl1_tsq
Definition:
ENL1 of the TSQ. It is the number of strata weighed by the filling of each strata
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
enl2_tsq
Definition:
ENL2 of the TSQ. It is analog to ENL1 but the filling of each strata is weighed in stronger
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
Dataset column
Name:
boxdim_tsq
Definition:
Box dimension of the TSQ. This is a metric of structural complexity. The larger the value the higher the complexity.
Unit:
No information available
Datagroup:
No information available
Keywords:
No information available
Values:
Sample values are not displayed because this column hasn't been approved yet.
Contributors:
No information available
No information available
No information available
No information avialable
Filter:
No information available
Filter:
No information available
No information available
No information available
No information available
No information available