Mammalian herbivory in Finnish exploratory

Usage Rights

This data is Free within projects.

Dataset Abstract

Mammalian herbivores are important drivers of plant species composition in forests, and at high densities of herbivore browsing pressure can have effects on regeneration of tree species, including mortality of saplings, and lead to a dominance of one understorey plant species (usually a species tolerant to browsing). In production forests herbivory can have detrimental effects on timber quality and success of regeneration stages. Existing empirical evidence for the effect of forest plant species diversity is scare and largely comes from observational studies or small feeding trial experiments. As most mammal herbivores are generalists it is predicted trees and woody plants will be more susceptible to browsing when growing in an environment with more plant species (i.e. food sources). This task will try to elucidate the links between forest characteristics and mammalian herbivory and whether the potential increase in herbivory outwieghs other benefits of forest diversity such as resistance to insect herbivores. Mammal herbivores present in the Hainich National Park: Red deer (Cervus elaphus), Roe deer (Capreolus capreolus), Fallow deer (Dama dama), and Wild boar (Sus scrofa).

Dataset Design

At each plot mammalian browsing on tree saplings and other woody plant species is assessed in four subplots (5m x 5m). Per browsed plant the percentage of available shoots browsed is estimated, and the lower and upper height limits of browsed twigs recorded. Plant diamter is recorded. Additionally per subplot all woody species are identified and the number of individuals and percentage cover per species recorded. At each plot phytometers of Task II.3 are assessed for browsing damage and/or removal by wild boar. At the plot level faecal pellet groups are counted and GPS marked, and wild boar rooting depth and percentage area of plot rooted have been recorded.

Spatial Extent

Finnish exploratory

Measurement Circumstances

Are there circumstances that explain the precision of your measurements? Could it be that a sandstorm destroyed part of the plots in a given year?

Data columns available in the raw data part of this dataset

plotid
unique number for each plot
Data group: Exploratory plot id
Values
FIN03
FIN01
FIN02
FIN04
FIN05
treat
plot treatment - focal tree species in the plot
Data group: Treatment
Values
BP
B
BPS
BS
P
Trich
number of focal tree species in plot
Data group: Species richness
Keywords: diversity
Values
3
1
2
Tdiv
Shannon diversity index of plot based on focal tree species
Data group: Diversity measure
Keywords: diversity
Values
0.098039113279732
0.11045304667259806
0.11806415824102724
0
0.15679841876856188
elevation
Plot elevation (above sea level)
Data group: Plot descriptor
Values
115
105
112
103
110
Tdens
tree density of plot
Data group: Plot descriptor
Values
149
40
103
170
110
Tdom
dominant focal tree species
Data group: Plot descriptor
Values
P
S
B
slope
slope level of plot
Data group: Plot descriptor
Values
1
2
Urich
understorey woody species richness - number of species based on subplot sampling
Data group: Species richness
Values
4
3
5
0
1
Udiversity
Udiversity
Data group: Not specified
Alert Sample values are not displayed because this column hasn't been approved yet.
Uevenness
understorey woody species evenness
Data group: Not specified
Alert Sample values are not displayed because this column hasn't been approved yet.
R_available
proportion of the understorey woody individuals that are a resource (selected at least once in region for browse)
Data group: Not specified
Alert Sample values are not displayed because this column hasn't been approved yet.
Sumcover
average percentage cover by all understorey woody species based on four subplots
Data group: Species composition
Values
0
114
106
117
11
Udom
dominant understorey woody species
Data group: Understorey species code
Alert Sample values are not displayed because this column hasn't been approved yet.
Total_plants
number of individual understorey plants in all subplots
Data group: Species composition
Values
10
14
13
12
0
Percentindlsb
percentage of individual understorey plants browsed
Data group: Performance
Keywords: herbivory
Values
1.37
0
11.11
10.43
11.88
Logavzero
average browsing intensity of all understorey woody species in subplots
Data group: Performance
Keywords: herbivory
Values
0.023481096
0.113943352
-0.004364805
0.117271296
0.012837225
S
number of Sorbus spp plants
Data group: Species composition
Values
11
17
1
0
16
PS
number of Pinus sylvestris plants
Data group: Species composition
Values
15
0
17
1
2
B
number of Betula spp plants
Data group: Species composition
Values
18
10
0
1
16
VM
number of Vaccinium myrtillus plants
Data group: Species composition
Values
10
11
120
107
0
VV
number of Vaccinium vitis-idaea plants
Data group: Species composition
Values
10
13
11
12
0
RO
number of Rubus occidentalis plants
Data group: Species composition
Values
2
30
15
0
18
DM
number of Daphne merezeum plants
Data group: Species composition
Values
0
1
L
number of Lonicera spp plants
Data group: Species composition
Values
0
1
PT
number of Populus tremula plants
Data group: Species composition
Values
0
1
JC
number of Juniper communis plants
Data group: Species composition
Values
12
3
2
1
0
E
number of Erica spp plants
Data group: Species composition
Values
4
0
1
percent S
percentage of Sorbus spp plants browsed
Data group: Species composition
Values
14.705882352941178
16
100
18.75
0
percent B
percentage of Betula spp plants browsed
Data group: Species composition
Values
25
10.526315789473683
100
12.5
0
percent PS
percentage of Pinus sylvestris plants browsed
Data group: Species composition
Values
0
NA
14.285714285714285
percentRO
percentage of Rubus occidentalis plants browsed
Data group: Species composition
Values
5.555555555555555
0
NA
40
percent JC
percentage of Juniper communis plants browsed
Data group: Species composition
Values
NA
0
14.285714285714285
Moose
number of moose faecal pellet groups in a plot
Data group: Species composition
Values
1
2