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38 results for “Fire Frequency”
High fire frequency and the impact of the 2019–2020 megafires on Australian plant diversity
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Data from: The influence of fire frequency on the structure and botanical composition of savanna ecosystems
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Root biomass:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Root carbon and nitrogen:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Plant aboveground biomass carbon and nitrogen:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Soil bulk density:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Soil carbon and nitrogen:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Data from: Fire frequency drives habitat selection by a diverse herbivore guild impacting top–down control of plant communities in an African savanna
In areas with diverse herbivore communities such as African savannas, the frequency of disturbance by fire may alter the top–down role of different herbivore species on plant community dynamics. In a seven year experiment in the Kruger National Park, South Africa, we examined the habitat use of nine common herbivore species across annually burned, triennially burned and unburned areas. We also used two types of exclosures (plus open access controls) to examine the impacts of different herbivores on plant community dynamics across fire disturbance regimes. Full exclosures excluded all herbivores > 0.5 kg (e.g. elephant, zebra, impala) while partial exclosures allowed access only to animals with shoulder heights ≤ 0.85 m (e.g. impala, steenbok). Annual burns attracted a diverse suite of herbivores, and exclusion of larger herbivores (e.g. elephant, zebra, wildebeest) increased plant abundance. When smaller species, mainly impala, were also excluded there were declines in plant diversity, likely mediated by a decline in open space available for colonization of uncommon plant species. Unburned areas attracted the least diverse suite of herbivores, dominated by impala. Here, herbivore exclusion, especially of impala, led to strong declines in plant richness and diversity. With no fire disturbance, herbivore exclusion led to competitive exclusion via increases in plant dominance and light limitation. In contrast, on triennial burns, herbivore exclusion had no effect on plant richness or diversity, potentially due to relatively little open space for colonization across exclosure treatments but also little competitive exclusion due to the intermediate fire disturbance. Further, the diverse suite of grazers and browsers on triennial burns may have had a compensating effect of on the diversity of grasses and forbs. Ultimately, our work shows that differential disturbance regimes can result in differential consumer pressure across a landscape and result in heterogeneous patterns in top–down control of community dynamics.
Figures 7-8 from: de Pinho FF, Ferreira GB, Paglia AP (2017) Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e11921
Figures 7-8 - (7) Species richness and confidence interval (95%) in low (<1000 m) and high elevation (>1200 m) in Rio Preto State Park. (8) Use intensity by medium and large mammals and confidence interval (95%) in low (<1000 m) and high elevation (>1200 m) in Rio Preto State Park.
Figures 3-4 from: de Pinho FF, Ferreira GB, Paglia AP (2017) Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e11921
Figures 3-4 - Observed species richness and confidence interval (95%) by physiognomy in (3) Rio Preto State Park and (4) Sempre Vivas National Park.
Figure 1 from: de Pinho FF, Ferreira GB, Paglia AP (2017) Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e11921
Figure 1 - Camera trap sites (black circles) surveyed at Rio Preto State Park and Sempre Vivas National Park. Areas of integral protection in gray and areas of sustainable use in hollow poligones.
Figure 2 from: de Pinho FF, Ferreira GB, Paglia AP (2017) Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e11921
Figure 2 - Species accumulation curve (richness x effort) and confidence interval (95%) in Rio Preto State Park (RPSP) and Sempre Vivas National Park (SVNP).
Figures 5-6 from: de Pinho FF, Ferreira GB, Paglia AP (2017) Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range. Zoologia 34: 1-11. https://doi.org/10.3897/zoologia.34.e11921
Figures 5-6 - Medium and large mammals use intensity and confidence interval (95%) by physiognomy in (5) Rio Preto State Park and (6) Sempre Vivas National Park.
Data from: Fire prevents woody encroachment only at higher-than-historical frequencies in a South African savanna
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Data from: Fire frequency drives habitat selection by a diverse herbivore guild impacting top–down control of plant communities in an African savanna
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LBA-ECO LC-39 MODIS Active Fire and Frequency Data for South America: 2000-2007
This data set provides active fire locations and estimates of annual fire frequencies for South America from 2000-2007. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra (2000-??2007) and Aqua (2003-2007) satellite platforms were analyzed to determine spatial and temporal patterns in satellite fire detections. The analysis considered a high-confidence subset of all MODIS fire detections to reduce the influence of false fire detections over small forest clearings in Amazonia (Schroeder et al., 2008). The number of unique days on which the active fire detections were recorded within a 1 km radius was estimated from the subset of active fire detections and the ArcGIS neighborhood variety algorithm. There are 14 data files with this data set: 7 GeoTIFF (.tif) files of fire frequency at MODIS 250 m resolution, where each grid cell value represents the number of days in that year on which active fires were detected, and 7 shape files of active fire locations for the years 2001-2007.
Dataset for article: Fire frequency affects fire behavior in open savannas of the Cerrado
<p>Dataset for the article: Rodrigues, C. A., Zirondi, H. L., & Fidelis, A. (2021). Fire frequency affects fire behavior in open savannas of the Cerrado. <em>Forest Ecology and Management</em>, <em>482</em>, 118850. https://doi.org/10.1016/j.foreco.2020.118850</p>
Potentiating NaV1.1 in Dravet Syndrome patient iPSC-derived GABAergic neurons increases neuronal firing frequency and decreases network synchrony
GEO Series GSE245113. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
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International Brain Laboratory public data
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OpenNeuro
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