| Literature DB >> 27435026 |
Eike Lena Neuschulz1, Thomas Mueller1,2, Matthias Schleuning1, Katrin Böhning-Gaese1,2.
Abstract
Plant regeneration is essential for maintaining forest biodiversity and ecosystem functioning, which are globally threatened by human disturbance. Here we present the first integrative meta-analysis on how forest disturbance affects multiple ecological processes of plant regeneration including pollination, seed dispersal, seed predation, recruitment and herbivory. We analysed 408 pairwise comparisons of these processes between near-natural and disturbed forests. Human impacts overall reduced plant regeneration. Importantly, only processes early in the regeneration cycle that often depend on plant-animal interactions, i.e. pollination and seed dispersal, were negatively affected. Later processes, i.e. seed predation, recruitment and herbivory, showed overall no significant response to human disturbance. Conserving pollination and seed dispersal, including the animals that provide these services to plants, should become a priority in forest conservation efforts globally.Entities:
Mesh:
Year: 2016 PMID: 27435026 PMCID: PMC4951728 DOI: 10.1038/srep29839
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Map of the study sites of all case studies (n = 145) included in the meta-analysis: pollination (n = 32, yellow triangles), seed dispersal (n = 41, red diamonds), seed predation (n = 42, blue squares), recruitment (n = 45, green circles) and herbivory (n = 20, pink triangles).
Please note that some study sites cover more than one process of plant regeneration (indicated by darker shading). Map created with the statistical programming language R (Version 3.2.1, https://www.r-project.org)61 using the mapdata package65.
Figure 2Effects of human forest disturbance on plant regeneration.
Shown are mean effect sizes (Hedge’s d) and 95% CI for pollination, seed dispersal, seed predation, recruitment and herbivory. Negative effect size indicates a detrimental effect, positive effect size indicates a beneficial effect of forest disturbance on the respective process (***p < 0.001). The model also included absolute latitude, longitude, seed size, and a spatial autocovariate to account for geographic location, plant life history, and spatial autocorrelation, respectively. The model included plant species, genus and study site as random effects. n = number of comparisons per process.