Although the evidence is still limited, a growing body of research suggests music may have beneficial effects for diseases such as Parkinson’s.
Image credit: Shutterstock/agsandrew.
New Research In
Physical Sciences
Featured Portals
Articles by Topic
Biological Sciences
Featured Portals
Articles by Topic
Edited by Nils Chr. Stenseth, University of Oslo, Oslo, Norway, and approved September 29, 2020 (received for review February 6, 2020)
Article Figures & SI
Figures
- Fig. 1.
Location of the 131 field sites (Dataset S1) for which this research assessed tree species replacement patterns after mortality concomitant with drought. The analysis considers forest and woodland sites across Earth’s forested biomes, excluding species-rich tropical biomes (gray areas in the map). Global forest cover is based on Global Forest Watch (http://globalforestwatch.org). Biome classification (61): BorF, boreal forests/taiga; Des, deserts and xeric shrublands; MedF, Mediterranean forests, woodlands, and scrub; MnG, montane grasslands; TeBF, temperate broadleaf and mixed forests; TeCF, temperate conifer forests; TeG, temperate grasslands, savannas, and shrublands; TrG, tropical and subtropical grasslands, savannas, and shrublands. Photos exemplifying the four replacement processes considered are as follows. (A) Self-replacement; E. marginata, Northern Jarrah Forest, Australia (G.M., 2014). (B) Replacement by another tree species; Cedrus atlantica, Middle Atlas, Morocco (E.B., 2017). (C) Replacement by shrub species; Abies pinsapo, Sierra de las Nieves, Spain (E.B., 2017). (D) No replacement by woody vegetation; P. edulis, New Mexico, USA (F.L., 2012).
- Fig. 2.
Postdrought replacement patterns by vegetation replacement type (NR, no replacement by woody vegetation; Self, self-replacement; Shrub, replacement by shrublands; Tree, replacement by other tree species) and by tree genus. In A, each bar depicts the possible combinations of replacement by the different types (e.g., Self + Tree corresponds to sites in which self-replacement and replacement by other tree species are observed), whereas the proportion of each replacement type across all sites is depicted by the size of the gray dots. The overall proportion of sites showing a given replacement type is shown (Right). Colors depict major replacing categories in which trees (green), shrubs (violet), or lack of replacement by woody vegetation (brown) dominate. In B, outer-level colored bars show the dominant (predrought) genus and the most important replacing woody genera (NR, lack of replacement by woody vegetation; Shrub, replacement by shrub species; Tree_other, replacement by other scarcely represented tree genera: Acer, Arbutus, Austrocedrus, Betula, Carya, Dasyphyllum, Fagus, Ilex, Lomatia, Sorbus, Ulmus, Weinmannia). Inner links are directional, joinning predrought dominant genera (flat ends) and postdrought replacing genera (arrow ends). The inner links depict replacement proportions, so link width is proportional to the number of cases showing any given replacement pattern.
- Fig. 3.
Effects of drought conditions before (pre), during, and after (post) tree mortality on the reported replacement patterns. The panels show the results of a beta regression model where replacement pattern (included in the model as the community resemblance index) is the dependent variable and drought conditions are the explanatory variables. The CRI is a joint compositional and structural index that quantifies the vegetation-type change in initial tree forest composition. CRI = 0 reflects no change in composition or structure (complete self-replacement by neighboring canopy trees) and CRI = 1 corresponds to the maximum possible change (no woody replacement). (A) The model’s coefficient estimates. (B) Influence of the difference between postmortality and during-mortality drought conditions on CRI; larger values correspond thus to more favorable conditions after mortality. (C) Influence of the interaction between during-mortality drought and the difference between postmortality and during-mortality drought conditions on CRI. Model pseudo-R2 = 0.274.
- Fig. 4.
Postdrought replacement patterns in relation to management, management intensity, and biotic disturbances. The CRI is a joint compositional and structural index that quantifies the vegetation-type change in initial tree forest composition (Fig. 3). The symbols (Top Right) in each plot show significant differences among the different classes in each panel: +P < 0.05, ++P < 0.01.
- Fig. 5.
Community bioclimatic shift as a result of forest mortality associated with drought. (Left) Relative change within the environmental space defined by precipitation regime and aridity. Environmental axes 1 and 2 encompass 82.4% of the variability of individual variables (PCA-derived axes). Each arrow represents the bioclimatic shift for a given forest site computed as the difference between the bioclimatic centroids of the dominant (predrought) and the replacing woody species weighted by the relative abundance of each species at the site. Orange and blue arrows illustrate shifts toward more xeric and more mesic communities, respectively. (Right) From A to E are examples of bioclimatic niches of the predrought dominant (blue) and postdrought replacing (red) species. Solid lines show the abundance and distribution range of each species along environmental axis 1, whereas the dotted vertical lines correspond to the species’ bioclimatic optima (center of mass of the distribution).
- Fig. 6.
Contribution of (A) the bioclimatic characteristics of the study sites, (B) the dry bioclimatic edge of the replacing species (Rep_sp), (C) the range of the bioclimatic distribution of the replacing woody species, and (D) the successional index of the replacing species versus the dominant (predrought) species on the bioclimatic shift index. ICBS is the difference between the bioclimatic optima of the replacing woody species and the bioclimatic optima of the dominant (predrought) species along environmental axis 1 (Fig. 4). Positive ICBS values indicate shifts toward more xeric communities, whereas negative values indicate shifts toward more mesic communities. A shows a linear fit and B–D depict the component smooth functions of a generalized additive model fitted using the four variables depicted here; model R2 = 0.612, explained deviance = 67.2%; all variables are significant at P < 0.05.
Data supplements
Supporting Information
Forest and woodland replacement patterns following drought-related mortality
Sign up for Article Alerts
Article Classifications
- Biological Sciences
- Ecology
Jump to section
You May Also be Interested in
Biomedical communities and journals need to standardize nomenclature of gene products to enhance accuracy in scientific and public communication.
Image credit: Shutterstock/greenbutterfly.
Shapeshifting designs could have wide-ranging pharmaceutical and biomedical applications in coming years.
Image credit: Acacia Dishman/Medical College of Wisconsin.
Amanda Rodewald, Ivan Rudik, and Catherine Kling talk about the hazards of ozone pollution to birds.
CRISPR-Cas9 gene editing can improve the effectiveness of spermatogonial stem cell transplantation in mice and livestock, a study finds.
Image credit: Jon M. Oatley.