Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales
|Author(s)||Ewald Michael1, Skowronek Sandra2, Aerts Raf3, Dolos Klara1, Lenoir Jonathan4, Nicolas Manuel5, Warrie Jens3, Hattab Tarek4, 6, Feilhauer Hannes2, Honnay Olivier3, Garzon-Lopez Carol X.4, 7, Decocq Guillaume4, Van De Kerchove Ruben8, Somers Ben9, Rocchini Duccio10, 11, 12, Schmidtlein Sebastian1|
|Affiliation(s)||1 : Karlsruhe Inst Technol, Inst Geog & Geoecol, Kaiserstr 12, D-76131 Karlsruhe, Germany.
2 : FAU Erlangen Nuremberg, Inst Geog, Wetterkreuz 15, D-91058 Erlangen, Germany.
3 : Univ Leuven, KU Leuven, Ecol Evolut & Biodivers Conservat Sect, Kasteelpk Arenberg 31-2435, B-3001 Louvain, Belgium.
4 : Univ Picardie Jules Verne, UR Ecol & Dynam Syst Anthropises, EDYSAN, FRE CNRS 3498, 1 Rue Louvels, F-80037 Amiens 1, France.
5 : Off Natl Forets, Dept Rech & Dev, Blvd Constance, F-77300 Fontainebleau, France.
6 : Inst Francais Rech Exploitat Mer, UMR MARBEC, Ave Jean Monnet CS, Sete, France.
7 : Univ los Andes, Ecol & Vegetat Physiol Grp EcoFiv, Cr 1E 18A, Bogota, Colombia.
8 : VITO Flemish Inst Technol Res, Boeretang 200, B-2400 Mol, Belgium.
9 : Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Louvain, Belgium.
10 : Fdn Edmund Mach, Res & Innovat Ctr, Dept Biodivers & Mol Ecol, Via E Mach 1, I-38010 San Michele All Adige, TN, Italy.
11 : Univ Trento, Ctr Agr Food Environm, Via E Mach 1, I-38010 San Michele All Adige, TN, Italy.
12 : Univ Trento, Ctr Integrat Biol, Via Sommar 14, I-38123 Povo, TN, Italy.
|Source||Biological Invasions (1387-3547) (Springer), 2018-08 , Vol. 20 , N. 8 , P. 2257-2271|
|WOS© Times Cited||6|
|Keyword(s)||Alien plants, Foliar stoichiometry, Hyperspectral, Imaging spectroscopy, LiDAR|
Non-native invasive plant species can influence ecosystem functioning over broad spatial scales, but most research on ecosystem impacts has focused on the plot level covering sampling units of only a few square meters or less. We used a multi-scale approach to analyze structural and leaf chemical vegetation traits depending on the presence of non-native American black cherry (Prunus serotina) in a mixed deciduous forest at the plot level and at the forest stand level. Trait data were derived from remotely sensed maps of leaf area index (LAI), wood volume as well as canopy leaf nitrogen concentration (Nmass), phosphorous concentration (Pmass), and N:P ratio. Differences in these traits were compared between invaded and non-invaded areas at the plot level using 264 sampling units with a size of 25 m × 25 m and in 4119 forest management units (mean area: 7.6 ± 5.1 ha). Observed patterns between invaded and non-invaded areas were similar at both spatial scales. Invaded areas were characterized by less wood volume, indicating that lower standing biomass promotes the occurrence of P. serotina. In contrast, LAI did not differ between invaded and non-invaded areas. Furthermore, the presence of P. serotina trees had an impact on the chemical composition of the forest canopy by decreasing leaf N:P. While for Pmass, we found no differences in between invaded and non-invaded areas, for Nmass we observed an invasion effect, though only at the plot level. Using remotely sensed trait data proved valuable to evaluate the spatial relevance of invasion impacts over large areas.