| Literature DB >> 20814580 |
Olivier Blarquez1, Christopher Carcaillet.
Abstract
BACKGROUND: Forecasting the effects of global changes on high altitude ecosystems requires an understanding of the long-term relationships between biota and forcing factors to identify resilience thresholds. Fire is a crucial forcing factor: both fuel build-up from land-abandonment in European mountains, and more droughts linked to global warming are likely to increase fire risks.Entities:
Mesh:
Year: 2010 PMID: 20814580 PMCID: PMC2930012 DOI: 10.1371/journal.pone.0012480
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Differences between pre- and post-fire abundance of macroremains SEA mean influx following fire events for different time windows.
| [−90–0] vs [0–150] | [−90–0] vs [0–90] | [−60–0] vs [0–60] | |||||||||||||||
| Lac du Loup | Lago Perso | Lac du Loup | Lago Perso | Lac du Loup | Lago Perso | ||||||||||||
| Taxa | p-val | signif | p-val | signif | p-val | signif | p-val | signif | p-val | signif | p-val | signif | |||||
|
|
| ** |
| 0.181 |
| * |
| 0.065 | ° | 0.343 |
| * |
| ||||
|
|
| ** |
|
| * |
| 0.065 | ° | 0.240 | 0.686 | 0.343 | ||||||
|
| 0.383 |
| * | ↗ | 0.061 | ° | 0.087 | ° |
| * | ↗ | 0.200 | |||||
| Ericaceae | 0.368 | 0.444 |
| * | ↗ | 0.426 | 0.057 | ° | 0.400 | ||||||||
| Herbs | 0.274 | 0.545 | 0.418 | 0.589 | 0.086 | ° | 0.686 | ||||||||||
| Influx sum |
| ** |
| 0.263 | 0.065 | ° | 0.937 | 0.686 | 0.114 | ||||||||
Wilcoxon Mann-Whitney non-parametric test p-values and significant levels are given. Where differences exist, arrows show the direction of variation of macroremain influxes (** p<0.01, * p<0.05, ° p<0.1).
Figure 1Superposed Epoch Analysis (SEA) technique outline.
SEA results applied to the sum of transformed total macroremain influxes for Lac du Loup (A) and Lago Perso (B). Pre- and post-fire transformed means of macroremains influx are colored in green and yellow, respectively; times of fires are in red, with 95% and 99% confidence intervals (CI) of means given by dashed and dotted lines, respectively. (C,D) The sum of raw macroremain influxes for the two sites and, (E,F) the sum of transformed macroremain influxes (see Material and Methods for details on mathematical formula). (G,H) High and (I,J) low frequency trends in macroremain influx sum decomposed from LOESS fitting. (K,L) Residuals from LOESS decomposing used to perform SEA, where triangles (∇ in red) and dashed lines give the date of reconstructed fire events.
Figure 2Superposed Epoch Analysis results applied to transformed macroremain influxes of main subalpine species for the two sites.
Pre- and post-fire transformed macroremains influx means are colored in green and yellow respectively; fire-year transformed macroremains influx means are in red with 95% and 99% CI of means given as dashed and dotted lines, respectively.
Figure 3Modeled behavior of plants pre- and post-fire using Superposed Epoch Analysis summarized results for the two lakes.
SEA means were transformed using min/max scaling followed by LOWESS curve fitting to highlight macroremains trajectories by species for the two lakes.