Pathogen Damage Assessment: Italy (June 2012)

Usage Rights

This data is Free for members.

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 Italian forests in Tuscany. 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 June 18 and July 4, 2012 by tree climbers or with extension loopers. Target tree species include: Castanea sativa, Ostrya carpinifolia, Quercus cerris, Quercus ilex, and Quercus petraea. Leaves from two levels of the canopy were sampled; 25-50 from the sun-exposed upper and 25-50 from the lower part of the canopy. When possible, branches came from the south facing exposition. Damages were assessed based on two categories, powdery mildew and leaf spots.

Dataset Design

Two objectives in task 4.6 were achieved with the sampling of fresh leaves from target trees: performing damage assessment (this workbook) and collecting leaves for molecular analysis (not in this workbook, but the leaves were from the same selected trees described below) Leaves 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 were selected randomly from cut branches; 25-50 leaves from the sun-exposed upper canopy and 25-50 leaves from the lower part of the canopy.

Spatial Extent

Exploratory Region: Italy

Temporal Extent

Between June 18, 2012 and July 4, 2012

Taxonomic Extent

Leaves from Castanea sativa, Ostrya carpinifolia, Quercus cerris, Quercus ilex, and Quercus petraea

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
ITA04
ITA01
ITA02
ITA03
ITA05
tree
Tree number
Data group: Tree number
Values
12
11
10
13
1
tree.id
Tree id
Data group: Tree id
Values
ITA01_31
ITA01_26
ITA01_2
ITA01_1
ITA01_10
species
Tree species
Data group: Tree species code
Values
QUECER
OSTCAR
QUEILE
CASSAT
QUEPET
branch
Branch position
Data group: Pathogen assessment
Values
B
T
mildew
Number of leaves with powdery mildew
Data group: Pathogen assessment
Keywords: pathogen, powdery mildew
Values
11
0
12
10
1
m.healthy
Number of healthy leaves with regards to mildew
Data group: Pathogen assessment
Keywords: pathogen, powdery mildew
Values
10
12
1
0
11
m.total
Total number of leaves sampled with regards to mildew
Data group: Pathogen assessment
Keywords: pathogen, powdery mildew
Values
23
22
25
26
27
spots
Number of leaves with leaf spots
Data group: Pathogen assessment
Keywords: pathogen, leaf spots
Values
0
12
10
1
11
s.healthy
Number of healthy leaves with regards to spots
Data group: Pathogen assessment
Keywords: pathogen, leaf spots
Values
13
10
11
1
12
s.total
Total number of leaves sampled with regards to spots
Data group: Pathogen assessment
Keywords: pathogen, leaf spots
Values
25
27
23
26
22
rust.current
Number of shoots with rust from the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, rust
Values
NA
cast.current
Number of shoots with needle cast from the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, needle cast
Values
NA
healthy.current
Number of healthy shoots from the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
NA
ndl.tot.current
Total number of shoots assessed for the current year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
NA
rust.prev
Number of shoots with rust from the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, rust
Values
NA
cast.prev
Number of shoots with needle cast from the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen, needle cast
Values
NA
healthy.prev
Number of healthy shoots from the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
NA
ndl.tot.prev
Total number of shoots assessed for the previous year needle cohort
Data group: Pathogen assessment
Keywords: pathogen
Values
NA
healthy.foliage
Overall number of healthy leaves or healty current year shoots
Data group: Pathogen assessment
Keywords: pathogen
Values
11
10
1
12
0
total.foliage
Total number of leaves or current year shoots sampled
Data group: Pathogen assessment
Keywords: pathogen
Values
23
27
26
22
25