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Matevski, Dragan; Glatthorn, Jonas; Foltran, Estela C (2022): Leaf damage data on European beech leaves from saplings and mature trees from Lower Saxony, Germany in 2019 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949421

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Published: 2022-10-06 • DOI registered: 2022-11-08

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Abstract:
Leaf damage data on European beech leaves from saplings and mature trees from Lower Saxony, Germany. Three forest stand types were studied (European beech/Douglas fir mixture, European beech monoculture, and European beech/Norway spruce mixture) at six different sites, three in southern (site 1-3) and three (4-6) in northern Lower Saxony, Germany. At each plot 20 leaves from 20 saplings and 80 leaves from 5 mature trees were sampled in August 2019. After sampling the dorsal side of leaves was scanned and the amount of damage was estimated with an image processing software called ImageJ. Damage is distinguished into total, pathogen and herbivory damage which is further distinguished into chewing, sucking, mining, skeletonizing and gall damage.
Keyword(s):
Beech forest; Field observation; herbivory; leaf
Related to:
Matevski, Dragan; Foltran, Estela C; Lamersdorf, Norbert; Schuldt, Andreas (2023): Introduction of non‐native Douglas fir reduces leaf damage on beech saplings and mature trees in European beech forests. Ecological Applications, 33(2), https://doi.org/10.1002/eap.2786
Further details:
Foltran, Estela C; Ammer, Christian; Lamersdorf, Norbert (in review): Douglas fir and Norway spruce admixtures to beech forests along in Northern Germany – Are soil nutrient conditions affected? https://doi.org/10.1101/2020.09.25.313213
Glatthorn, Jonas (2021): A spatially explicit index for tree species or trait diversity at neighborhood and stand level. Ecological Indicators, 130, 108073, https://doi.org/10.1016/j.ecolind.2021.108073
Gspaltl, Martin; Sterba, Hubart; O'hara, Kevin L (2012): The relationship between available area efficiency and area exploitation index in an even-aged coast redwood (Sequoia sempervirens) stand. Forestry, 85(5), 567-577, https://doi.org/10.1093/forestry/cps052
Matevski, Dragan; Glatthorn, Jonas; Kriegel, Peter; Schuldt, Andreas (2021): Non-native Douglas fir (Pseudotsuga menziesii) promotes sentinel prey attack rates in Central European forests. Forest Ecology and Management, 489, 119099, https://doi.org/10.1016/j.foreco.2021.119099
Project(s):
Enrichment of European beech forests with conifers (RTG2300)
Funding:
Deutsche Forschungsgemeinschaft, Bonn (DFG), grant/award no. 316045089
Coverage:
Median Latitude: 52.214544 * Median Longitude: 9.863635 * South-bound Latitude: 51.656680 * West-bound Longitude: 9.272750 * North-bound Latitude: 53.203460 * East-bound Longitude: 10.837580
Date/Time Start: 2019-08-06T00:00:00 * Date/Time End: 2019-08-12T00:00:00
Event(s):
RTG2300_2019_Leaf_1 * Latitude: 51.722003 * Longitude: 9.708091 * Date/Time: 2019-08-12T00:00:00 * Location: Northern Lower Saxony * Method/Device: Field observation
RTG2300_2019_Leaf_2 * Latitude: 51.657813 * Longitude: 9.580483 * Date/Time: 2019-08-06T00:00:00 * Location: Northern Lower Saxony * Method/Device: Field observation
RTG2300_2019_Leaf_3 * Latitude: 51.695510 * Longitude: 9.531623 * Date/Time: 2019-08-11T00:00:00 * Location: Northern Lower Saxony * Method/Device: Field observation
Comment:
Area, potentially available = crown projection area plus a proportional amount of the stand area, which is not covered by canopy (Gspaltl et al. 2012)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventMatevski, Dragan
2LATITUDELatitudeMatevski, DraganGeocode
3LONGITUDELongitudeMatevski, DraganGeocode
4DATE/TIMEDate/TimeMatevski, DraganGeocode – Date of leaf collection
5LocationLocationMatevski, Dragan
6Forest stand, typeForest stand typeMatevski, DraganForest observation (FORESTOBS)
7StratumSratumMatevski, Draganvertical layer of a habitat
8PlotPlotMatevski, Draganplot number
9MonomixMonomixMatevski, Draganwhether the plot is a monoculture or mixture
10Tree heightTree heightmMatevski, DraganClinometer, Haglöf Sweden, Vertex IIItree heights were extrapolated from diameter at breast height measurements with the use of tree height curves based on already measured trees; sapling height was measured with a tape measure; after Matevski et al. 2022
11Leaf area, damage, by galling insectsLA damage galls%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
12Leaf area, damage, by sucking insectsLA damage sucking%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
13Leaf area, damage, by mining insectsLA damage mining%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
14Leaf area, damage, by skeletonizationLA damage skeletonization%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
15Leaf area, damage, by pathogensLA damage pathogens%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
16Leaf area, damage, totalLA damage total%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
17Leaf area, damage, by chewing insectsLA damage chewing%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
18Leaf area, damage, by herbivoryLA damage herbivory%Matevski, DraganImage analysis NIH ImageJLeaf area and leaf damage was measured using the software Image J; after Matevski et al. 2022
19Leaf area, damage, typeLA damage typeMatevski, DraganImage analysis NIH ImageJdamage type causing most damage on a specific sapling/mature tree
20Trees, canopy opennessTrees canopy open%Matevski, DraganSolariscope, Ing.-Büro Behling, SOL 300fraction of the sky unobscured by forest canopy; measured using a solariscope/hemispherical photography
21Vegetation complexityVeg complexMatevski, Draganafter Matevski et al 2021; characterized by plant structural complexity
22Area, potentially availableArea pot availm2Matevski, DraganCalculated from mapof Douglas fir (Gspaltl et al 2012)
23Area, potentially availableArea pot availm2Matevski, Draganof European beech (Gspaltl et al 2012)
24Area, potentially availableArea pot availm2Matevski, Draganof Norway spruce (Gspaltl et al 2012)
25Neighbourhood diversityNeighbour divMatevski, Draganspatially explicit measure of tree diversity; calculated after Glatthorn, 2021
26Cation exchange capacityCECmmol/dm3Matevski, DraganInductively coupled plasma - optical emission spectrometry (ICP-OES), Spectro Analytical Instruments GmbH, Spectro GenesisProxy for nutrient capacity; measured using ICP-OES and NH4Cl-percolation (Foltran et al., 2021)
27Principal component 1PC1ScoreMatevski, DraganCalculatednegatively correlated with C and N stocks, while positively correlated with C/N ratio (soil data collected by Foltran et al, 2021)
28Principal component 2PC2ScoreMatevski, DraganCalculatednegatively correlated with pH and positively correlated with C stocks (soil data collected by Foltran et al, 2021)
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
10152 data points

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