Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
263
datasets available to search
ShareScore release 0.9.0
Dataset results
263 results for “forest fire”
Data from: Warmer and drier fire seasons contribute to increases in area burned at high severity in western US forests from 1985-2017
<p>Increases in burned area across the western US since the mid-1980's have been widely documented and linked partially to climate factors, yet evaluations of trends in <i>fire severity</i> are lacking. Here, we evaluate fire severity trends and their interannual relationships to climate for western US forests from 1985-2017. Significant increases in annual area burned at high severity (AAB<sub>hs</sub>) were observed across most ecoregions, with an overall eight-fold increase in AAB<sub>hs</sub> across all western US forests. The relationships we identified between the annual fire severity metrics and climate, as well as the observed and projected trend toward warmer and drier fire seasons, suggest that climate change will contribute to increased fire severity in future decades where fuels remain abundant. The growing prevalence of high-severity fire in western US forests has important implications to forest ecosystems, including an increased probability of fire-catalyzed conversions from forest to alternative vegetation types.</p>
How does prescribed fire shape bird and plant communities in a temperate dry forest ecosystem?
<p>To mitigate the impact of severe wildfire on human society and the environment, prescribed fire is widely used in forest ecosystems to reduce fuel loads and limit fire spread. To avoid detrimental effects on conservation values, it is imperative to understand how prescribed fire affects taxa having a range of different adaptations to disturbance. Such studies will have greatest benefit if they extend beyond short-term impacts of burning. We used a field study to examine the effects of prescribed fire on birds and plants across a 36-year post-fire chronosequence in a temperate dry forest ecosystem in south-eastern Australia, and by making comparison with long-unburnt reference sites (79 years since wildfire). We modelled changes in the relative abundance of 22 bird species and the cover of 39 plant species, and examined how individual species, functional groups, species richness and community composition differed between sites with different fire history. For most individual bird and plant species modelled, relative abundance or cover at sites subject to prescribed fire did not change significantly with time since fire or differ from that of long-unburnt vegetation. When bird species were pooled into functional groups, time since prescribed fire had strong effects on birds that forage in the lower-midstorey, facultative-resprouting shrubs and obligate-seeding shrubs. Species richness for both taxa did not differ between sites subject to prescribed fire and those in long-unburnt vegetation. Bird communities varied significantly between the youngest (0-3 years) and oldest (79 years) post-fire age-classes, driven by species associated with understorey vegetation. Plant community composition showed little evidence of a post-fire successional trajectory. The prevalence of bird species with broad habitat and dietary niches and plant regeneration through resprouting, make bird and plant communities in these forests relatively resilient to small and patchy prescribed fires they have experienced to date. Application of prescribed fire will be most compatible with maintaining biodiversity by taking a landscape approach that: 1) plans for a geographic spread of stands with a range of between-prescribed-fire intervals to ensure provision of suitable habitat for all taxa, and 2) avoids burning in moist gullies to maintain their value as fire refuges.</p>
Data from: Fire evolution in the radioactive forests of Ukraine and Belarus: future risks for the population and the environment
This paper analyzes the current and future status of forests in Ukraine and Belarus that were contaminated after the nuclear disaster in 1986. Using several models, together with remote sensing data and observations, we studied how climate change in these forests may affect fire regimes. We investigated the possibility of 137Cs displacement over Europe by studying previous fire events, and examined three fire scenarios that depended on different emission altitudes of 137Cs, assuming that 10% of the forests were affected by fires. Field measurements and modeling simulations confirmed that numerous radioactive contaminants are still present at these sites in extremely large quantities. Forests in Eastern Europe are characterized by large, highly fire-prone patches that are conducive to the development of extreme crown fires. Since 1986, there has been a positive correlation between extreme fire events and drought in the two contaminated regions. Litter carbon storage in the area has doubled since 1986 due to increased tree mortality and decreased decomposition rates; dead trees and accumulating litter in turn can provide fuel for wildfires that pose a high risk of redistributing radioactivity in future years. Intense fires in 2002, 2008 and 2010 resulted in the displacement of 137Cs to the south; the cumulative amount of 137Cs re-deposited over Europe was equivalent to 8% of that deposited following the initial Chernobyl disaster. However, a large amount of 137Cs still remains in these forests, which could be remobilized along with a large number of other dangerous, long-lived, refractory radionuclides. We predict that an expanding flammable area associated with climate change will lead to a high risk of radioactive contamination with characteristic fire peaks in the future. Current fire-fighting infrastructure in the region is inadequate due to understaffing and lack of funding. Our data yield the first cogent predictions for future fire incidents and provide scientific insights that could inform and spur evidence-based policy decisions concerning highly contaminated regions around the world, such as those of Chernobyl.
Post-fire spectral recovery and driving factors across the boreal and temperate forests
Open the record for dataset details and reuse information.
DNA metabarcoding reveals broad woodpecker diets in fire-maintained forests
<p class="MsoNoSpacing">Ecological disturbance is a key agent shaping the spatial and temporal landscape of food availability. In forests of western North America, disturbance from fire can lead to resource pulses of deadwood-associated arthropods that provide important prey for woodpeckers. Although the foraging strategies among woodpecker species often demonstrate pronounced differences, little is known about the ways in which woodpeckers exploit and partition prey in disturbed areas. In this study, we employed DNA metabarcoding to characterize and compare the arthropod diets of four woodpecker species in Washington and California, USA – Black-backed Woodpecker (<i>Picoides arcticus</i>), Hairy Woodpecker (<i>Dryobates villosus</i>), Northern Flicker (<i>Colaptes auratus</i>), and White-headed Woodpecker (<i>D. albolarvatus</i>) – primarily using nestling fecal samples from burned forests 1–13 years post-fire. Successful sequencing from 78 samples revealed the presence of over 600 <a name="_Hlk73784549">operational taxonomic units (OTUs) </a>spanning 32 arthropod orders. <a name="_Hlk87260574">The nestling diets of two species in particular</a> – Northern Flicker and Black-backed Woodpecker – proved to be much broader than previous observational studies suggest. <a name="_Hlk87260757">Northern Flicker nestlings demonstrated</a> significantly higher diet diversity compared to other focal species, all of which displayed considerable overlap in diversity. Wood-boring beetles, which colonize dead and dying trees after fire, were particularly important diet items for Black-backed, Hairy, and White-headed woodpeckers. Diet composition differed among species, and diets showed limited differences between newer (≤5 yr) and older (>5 yr) post-fire forests. Our results show mixed evidence for dietary resource partitioning, with three of the four focal species exhibiting relatively high diet overlap, perhaps due to the pulsed subsidy of deadwood-associated arthropods in burned forests. Woodpeckers are frequently used as management indicator species for forest health, and our study provides one of the first applications of DNA metabarcoding to build a more complete picture of woodpecker diets.</p>
Figure 1 in Fire effects on Atlantic Forest sites from a composition, structure and functional perspective
Figure 1. Paraíba do Sul river basin study site, Southeast Atlantic Forest biome, inside São Paulo state, Brazil and South America. Red and blue pins represent burned and unburned forest sites where field inventory was performed, with satellite images of each.
Figure 6 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 6 Combi trap in an intensely disturbed forest plot in Ticino (Forest fire I) after several forest fires within the previous 40 years. In spring the chestnut regrowth (here without old trees) is still without leaves. Photo: WSL.
Figure 5 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 5 Cleared windthrow plot in mixed forest near Messen, two years after storm Lothar (Windthrow II). Photo: WSL.
Figure 2 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 2 Combi trap (a combination of a flight interception trap and a yellow funnel trap) in an uncleared windthrow plot (Windthrow II) near Habsburg after storm Lothar. Photo: WSL.
Figure 4 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 4 Cleared windthrow plot above Schwanden three years after storm Vivian (Windthrow I). Photo: WSL.
Figure 1 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 1 Window interception trap and yellow bucket trap in an uncleared windthrow plot (Windthrow I) above Schwanden after storm Vivian. Photo: WSL.
Figure 8 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 8 Two years after the massive fire above Leuk the whole area was covered with a carpet of colorful vegetation. Photo: WSL.
Figure 7 from: Duelli P, Wermelinger B, Moretti M, Obrist MK (2019) Fire and windthrow in forests: Winners and losers in Neuropterida and Mecoptera. Alpine Entomology 3: 39-50. https://doi.org/10.3897/alpento.3.30868
Figure 7 Combi trap in the center of the large burned area above Leuk, a few months after the fire (Forest fire II). Photo: WSL.
Figure 6 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 6 - The total individual numbers of the top three dominant species on the burned site from 2008–2015.
Figure 4 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 4 - The frequency of native plants on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). T-value = 6.50. P-value < 0.001.
Figure 7 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 7 - The total individual numbers of the top three dominant species on the unburned site from 2008–2015.
Figure 1 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 1 - The species richness on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). T-value= 4.70, P-vale < 0.001.
Figure 5 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 5 - The total individual numbers of dominant species on the unburned site and the burned site from 2008–2015.
Figure 3 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 3 - The frequency of lichens, woody plants, forb plants, grass on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). Lichens: T-value = 27.71; P-value < 0.001. Woody plants: T-value = 18.96; P-value < 0.001. Forb plants: T-value = -7.90; P-value < 0.001. Grass: T-value = -3.72; P-value =0.001.
Figure 2 from: Lu P-L, DeLay JK (2016) Vegetation and fire in lowland dry forest at Wa'ahila Ridge on O'ahu, Hawai'i. PhytoKeys 68: 51-64. https://doi.org/10.3897/phytokeys.68.7130
Figure 2 - The plant density on the unburned site and the burned site per 1 m2. Error bars are ± SD (n=50). T-value = 6.75. P-value < 0.001.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.