Open AccessEvidence of a spatial auto‐correlation in the browsing level of four major European tree species
Author(s) -
Hagen Robert,
Suchant Rudi
Publication year - 2020
Publication title -
ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.17
H-Index - 63
ISSN - 2045-7758
DOI - 10.1002/ece3.6577
Subject(s) - beech , spatial ecology , common spatial pattern , ecology , spatial analysis , herbivore , disturbance (geology) , tree (set theory) , geography , physical geography , biology , mathematics , remote sensing , paleontology , mathematical analysis
Abstract The contribution of spatial processes to the spatial patterns of ecological systems is widely recognized, but spatial patterns in the ecology of plant‐herbivore interactions have rarely been investigated quantitatively owing to limited budget and time associated with ecological research. Studies of the level of browsing on various tree species reported either no spatial auto‐correlation or a small effect size. Further, the effects of disturbance events, such as hurricanes, which create large forest openings on spatial patterns of herbivory are not well understood. In this study, we used forest inventory data obtained from the federal state of Baden‐Württemberg (Southern Germany) between 2001 and 2009 (grid size: 100 × 200 m) and thus, after hurricane Lothar struck Southern Germany in 1999. We investigated whether the browsing level of trees (height ≤ 130 cm) in one location is independent of that of the neighborhood. Our analyses of 1,758,622 saplings (187.632 sampling units) of oak ( Quercus ), fir ( Abies ), spruce ( Picea ), and beech ( Fagus ) revealed that the browsing level is characterized by a short distance spatial auto‐correlation. The application of indicator variables based on browsed saplings should account for the spatial pattern as the latter may affect the results and therefore also the conclusions of the analysis.