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Title:
CSPs: Herbivore damage on saplings of 23 tree and shrub species in the CSPs
Access rights:
Private
Usage rights:
restricted to data owners
Published:
No information available
Abstract:
This study was designed to quantify the degree of herbivore damage on saplings of different tree and shrub species in the 27 Comparative Study Plots. In June/July 2008, we selected 1,818 saplings (20-100 cm height) of 23 species and visually assessed herbivore damage using a percentage class system. We intend to relate leaf consumption to tree diversity and the density of conspecifics in the tree layer of the CSPs. Both have often been suggested to influence herbivory. Especially data on the relationship between herbivory and plant diversity in highly diverse forest systems is scarce and the CSPs in the Gutianshan National Nature Reserve offer an excellent opportunity to tackle this issue. In cooperation with other subprojects, differences in succeptibility to herbivory between species can be studied using data on leaf chemistry and range sizes of the species.
Design:
Twenty-three evergreen tree and shrub species were selected to study folivory on saplings in the 27 CSPs: Ardisia crenata, Camellia fraterna, Castanopsis carlesii, Castanopsis eyrei, Castanopsis fargesii, Castanopsis tibetana, Cinnamomum subavenium, Cyclobalanopsis glauca, Cyclobalanopsis myrsinaefolia, Daphniphyllum oldhamii, Eurya muricata, Eurya rubiginosa, Itea chinensis, Lespedeza formosa, Lithocarpus glaber, Loropetalum chinense, Machilus thunbergii, Meliosma oldhamii, Myrica rubra, Neolitsea aurata, Quercus serrata, Schima superba and Symplocos stellaris. In each plot, a maximum of ten saplings of each species (with a height between 20 and 100 cm) was randomly sampled by crossing the whole plot along parallel transects from one side to the opposite side. The degree of foliar damage, defined as the removal of photosynthetic tissue due to leaf-chewing, mining and galling (and, if visible, sucking) insects, was assessed for all leaves of the saplings. To account for age specific differences in leaf herbivory, we differentiated between young (expanded in the current growing season) and old leaves (expanded in previous growing seasons). Senescent or fungally heavily damaged leaves were excluded. Sampling was conducted once on each plot at the end of the rainy season in June/July 2008. Thus, we recorded standing levels of herbivory instead of consumption rates over a specified period of time. Herbivore damage was visually estimated using percentage classes of leaf tissue removal (0%; <1%; 1-5%; >5-15%; >15-35%; >35%). These classes were defined beforehand by analyzing random collections of leaves. The leaves were digitally scanned and the degree of herbivory was determined using pixel ratios of the removed and the estimated total leaf tissue of each leaf, extracted with the histogram function in Adobe Photoshop CS3. Herbivore damage in the field was assessed by only one person (A.S.) to prevent variability in estimation accuracy. Mean percentage of herbivory from the sampled leaves (0%; 0.5%; 3%; 9%; 23%; 55%) for each percentage class was calculated for further analyses.
Spatial extent:
Gutianshan National Nature Reserve: Assessment of leaf herbivory on 1,818 saplings of 23 tree and shrub species in the 27 CSPs (June/July 2008)
Temporal extent:
June July 2008
Taxonomic extent:
Ardisia crenata, Camellia fraterna, Castanopsis carlesii, Castanopsis eyrei, Castanopsis fargesii, Castanopsis tibetana, Cinnamomum subavenium, Cyclobalanopsis glauca, Cyclobalanopsis myrsinaefolia, Daphniphyllum oldhamii, Eurya muricata, Eurya rubiginosa, Itea chinensis, Lespedeza formosa, Lithocarpus glaber, Loropetalum chinense, Machilus thunbergii, Meliosma oldhamii, Myrica rubra, Neolitsea aurata, Quercus serrata, Schima superba and Symplocos stellaris
Measurement cirumstances:
No information available
Data analysis:
Used to calculate herbivory pressure on tree saplings in the CSPs

Filter:
Dataset column

Name:
CSP
Definition:
name of the CSP in the Nature ReserveBEF research plot nameReasearch plots of the Biodiversity - Ecosystem functioning experiment (BEF-China). There are three main sites for research plots in the BEF Experiment: Comparative Study Plots (CSP) in the Gutianshan Nature Reserve, having a size of 30x30m^2, measured on the ground.
Unit:
No information available
Datagroup:
BEF research plot name
Keywords:
CSP
Values:
CSP01
CSP02
CSP04
CSP03
CSP05
Contributors:
No information available

Dataset column

Name:
date
Definition:
sampling date
Unit:
No information available
Datagroup:
Date time information
Keywords:
date
Values:
2008-05-26 00:00:00
2008-05-27 00:00:00
2008-05-31 00:00:00
2008-06-03 00:00:00
2008-06-05 00:00:00
Contributors:
No information available

Dataset column

Name:
species
Definition:
study species
Unit:
No information available
Datagroup:
Scientific plant species name
Keywords:
species, tree individual, sapling
Values:
Castanopsis eyrei
Castanopsis carlesii
Camellia fraterna
Ardisia crenata
Castanopsis fargesii
Contributors:
No information available

Dataset column

Name:
spec
Definition:
species name abbreviated (first three letter genus_first three letters species name)
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
Cas_far
Ard_cre
Cas_car
Cas_eyr
Cam_fra
Contributors:
No information available

Dataset column

Name:
height
Definition:
height (cm) of the sampled individual, using measuring tape
Unit:
cm
Datagroup:
Plant height
Keywords:
height
Values:
15
10
20
100
120
Contributors:
No information available

Dataset column

Name:
dam_yng0
Definition:
number of young leaves of the sampled individual in damage category 0
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
herbivory
Values:
0
102
10
1
104
Contributors:
No information available

Dataset column

Name:
dam_yng1
Definition:
number of young leaves of the sampled individual in damage category 1
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
herbivory
Values:
0
12
11
10
1
Contributors:
No information available

Dataset column

Name:
dam_yng2
Definition:
number of young leaves of the sampled individual in damage category 2
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
11
0
12
10
1
Contributors:
No information available

Dataset column

Name:
dam_yng3
Definition:
number of young leaves of the sampled individual in damage category 3
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
11
1
0
10
12
Contributors:
No information available

Dataset column

Name:
dam_yng4
Definition:
number of young leaves of the sampled individual in damage category 4
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
0
11
12
10
1
Contributors:
No information available

Dataset column

Name:
dam_yng5
Definition:
number of young leaves of the sampled individual in damage category 5
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
10
0
1
12
11
Contributors:
No information available

Dataset column

Name:
dam_old0
Definition:
number of old leaves of the sampled individual in damage category 0
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
10
11
104
0
1
Contributors:
No information available

Dataset column

Name:
dam_old1
Definition:
number of old leaves of the sampled individual in damage category 1
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
11
12
10
0
1
Contributors:
No information available

Dataset column

Name:
dam_old2
Definition:
number of old leaves of the sampled individual in damage category 2
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
12
11
1
0
10
Contributors:
No information available

Dataset column

Name:
dam_old3
Definition:
number of old leaves of the sampled individual in damage category 3
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
11
10
1
12
0
Contributors:
No information available

Dataset column

Name:
dam_old4
Definition:
number of old leaves of the sampled individual in damage category 4
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
1
12
0
10
11
Contributors:
No information available

Dataset column

Name:
dam_old5
Definition:
number of old leaves of the sampled individual in damage category 5
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
11
1
0
12
10
Contributors:
No information available

Dataset column

Name:
sum_young
Definition:
total number of young leaves of the sampled individual
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
101
10
103
1
0
Contributors:
No information available

Dataset column

Name:
sum_old
Definition:
total number of old leaves of the sampled individual
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
1
100
10
0
103
Contributors:
No information available

Dataset column

Name:
sum_all
Definition:
total number of all leaves of the sampled individual
Unit:
count
Datagroup:
Leaf count in herbivore damage class
Keywords:
No information available
Values:
100
103
101
10
102
Contributors:
No information available

Dataset column

Name:
mean_young
Definition:
mean percentage of herbivore damage of all young leaves of the sampled individual
Unit:
percent
Datagroup:
Herbivore damage
Keywords:
leaf, herbivory
Values:
0
0.022727272727272728
0.025
0.029411764705882353
0.023809523809523808
Contributors:
No information available

Dataset column

Name:
mean_old
Definition:
mean percentage of herbivore damage of all old leaves of the sampled individual
Unit:
percent
Datagroup:
Herbivore damage
Keywords:
leaf, herbivory
Values:
0
0.09375
0.07692307692307693
0.10714285714285714
0.25
Contributors:
No information available

Dataset column

Name:
mean_all
Definition:
mean percentage of herbivore damage of all leaves of the sampled individual
Unit:
percent
Datagroup:
Herbivore damage
Keywords:
leaf, herbivory
Values:
0.023809523809523808
0.1
0.08695652173913043
0.05263157894736842
0
Contributors:
No information available

No information available


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25 assmann medium

Thorsten
Assmann

Owner of:
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Andreas
Schuldt

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