Pathogen Damage Assessment: Germany (July 2012)

Usage Rights

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Dataset Abstract

Fungi are important drivers of ecosystem function. Pathogens however can impair productivity stability. We are interested in determining whether there is an effect of tree species diversity on regulating foliar fungal pathogens in the Hainich National Park in Germany. We hypothesize that higher diversity mixture plots will have a lower incidence of pathogens and pathogen damage than monoculture plots. Leaf samples from selected target trees were collected between July 9 and July 19, 2012 by tree climbers or with extension loopers. Target tree species include: Fagus sylvatica, Fraxinus excelsior, Quercus sp., Acer pseudoplatanus and Picea abies. Leaves from two levels of the canopy were sampled; 25-30 from the sun-exposed upper and 25-30 from the lower part of the canopy, both from the south exposition. For conifers, 10 shoots were samples for each of the first two years' needle cohorts (20 shoots total) for the upper branch and similarly for the lower branch, both from the south exposition. Damages were assessed based on two categories for the broadleaved trees, powdery mildew and leaf spots, and two categories for the conifers, rust and needle cast.

Dataset Design

Two objectives in task 4.6 were achieved with the sampling of fresh leaves and needles from target trees: performing damage assessment (this workbook) and collecting leaves and needles (from the 2012, currently year cohort only) for molecular analysis (not in this workbook, but the leaves and needles were from the same selected trees described below) Leaves and needles were sampled from trees along gradients like diversity. From provided tree size data, the trees sorted based on DBH. The 12 largest trees based on DBH were selected from monoculture plots and 6 trees for the those trees in mixture plots. From these, 6 trees were randomly selected (Excel random number generator) in the monoculture plots and 3 trees were selected from mixture plots. Sometimes the pre-selected tree needed to be changed in the field. Leaves from broadleaved trees were selected randomly from cut branches; 25-30 leaves from the sun-exposed upper canopy and 25-30 leaves from the lower part of the canopy. Needles from conifers were selected randomly from cut branches with 10 shoots from the current year cohort and 10 shoots from the previous year cohort from the sun-exposed upper canopy, and the same scheme for the lower part of the canopy.

Spatial Extent

Exploratory Region: Germany

Temporal Extent

Between July 9, 2012 and July 16, 2012

Taxonomic Extent

Leaves from Fagus sylvatica, Fraxinus excelsior, Quercus sp. and Acer pseudoplatanus and needles from Picea abies

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 Analysis

Columns A-D provide the unique identification for each focal tree.
Column E indicates the branch from which the leaves were sampled for that particular focal tree.
Columns F-H indicate the number of leaves with powdery mildew (mildew), the number of leaves without powdery mildew (m.healthy), and the total number of leaves assessed for powdery mildew (m.total), respectively.
Columns I-K indicate the number of leaves with leaf spots (spots), the number of leaves without leaf spots (s.healthy), and the total number of leaves assessed for leaf spots (s.total), which are the same leaves assessed for powdery mildew, respectively.
Columns L and M indicate the number of shoots with rust (rust.current) and needle cast (cast.current), respectively for the current year needles (i.e. from 2012).
Columns N and O indicate the number of healthy shoots (healthy.current) and total number of shoots sampled (ndl.tot.current) for that cohort of shoots, respectively.
Columns P-S have the same notes the same as columns L-O, except for data from the previous year needle cohorts (indicated with ".prev") (i.e. from 2011).
Column T indicates the overall number of healthy leaves or healthy current year shoots.
Column U indicates the total number of leaves or current year shoots sampled.

Data columns available in the raw data part of this dataset

plot
Plot Id
Data group: Exploratory plot id
Values
GER04
GER02
GER01
GER05
GER03
tree
Tree number
Data group: Tree number
Values
1
100
11
108
10
tree.id
Tree id
Data group: Tree id
Values
GER01_21
GER01_5
GER01_1
GER01_23
GER01_4
species
Tree species
Data group: Tree species code
Values
FRAEXC
PICABI
FAGSYL
ACEPSE
QUE
branch
Branch position
Data group: Pathogen assessment
Values
T
B
mildew
Number of leaves with powdery mildew
Data group: Pathogen assessment
Keywords: pathogen, powdery mildew
Values
0
12
1
10
11
m.healthy
Number of healthy leaves with regards to mildew
Data group: Pathogen assessment
Keywords: pathogen, powdery mildew
Values
12
11
0
10
1
m.total
Total number of leaves sampled with regards to mildew
Data group: Pathogen assessment
Keywords: pathogen, powdery mildew
Values
NA
38
23
25
30
spots
Number of leaves with leaf spots
Data group: Pathogen assessment
Keywords: pathogen, leaf spots
Values
11
1
12
10
0
s.healthy
Number of healthy leaves with regards to spots
Data group: Pathogen assessment
Keywords: pathogen, leaf spots
Values
12
1
13
11
14
s.total
Total number of leaves sampled with regards to spots
Data group: Pathogen assessment
Keywords: pathogen, leaf spots
Values
25
38
23
NA
30
rust.current
Number of shoots with rust from the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, rust
Values
0
NA
cast.current
Number of shoots with needle cast from the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, needle cast
Values
6
7
0
1
3
healthy.current
Number of healthy shoots from the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
4
3
7
10
9
ndl.tot.current
Total number of shoots assessed for the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
NA
10
rust.prev
Number of shoots with rust from the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, rust
Values
NA
0
cast.prev
Number of shoots with needle cast from the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, needle cast
Values
1
10
0
7
NA
healthy.prev
Number of healthy shoots from the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
9
10
NA
0
3
ndl.tot.prev
Total number of shoots assessed for the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
NA
10
healthy.foliage
Overall number of healthy leaves or healty current year shoots
Data group: Pathogen assessment
Keywords: pathogen
Values
10
1
12
0
11
total.foliage
Total number of leaves or current year shoots sampled
Data group: Pathogen assessment
Keywords: pathogen
Values
23
38
10
25
30