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29 results for “fire followers”
Monthly lake water quality data (May-September 2022) following the Greenwood Fire in northeastern Minnesota v1.0
<p>This repository contains lake water quality responses to the 2021 Greenwood Fire in Superior National Forest, Minnesota, USA (near Isabella, MN in northeastern MN). Thirty lakes (15 burned watershed, 15 control) were sampled monthly from May-September 2022 along various fire disturbance gradients (e.g., % watershed burned) and in relation to hydrologic connectivity (i.e., drainage vs. isolated lakes). Much of the non-water quality data we used came from published sources, which are described and referenced below. This repository also contains R code used to analyze and visualize data, as well as some output figures.</p>
Snag-fall patterns following stand-replacing fire vary with stem characteristics and topography in subalpine forests of Greater Yellowstone
We assessed the stem- and landscape-level drivers of snag persistence and snag-fall mode within the area burned as stand-replacing fire in the 1988 Yellowstone Fires in Yellowstone National Park, Wyoming, USA. Snags were sampled 14-15 years postfire (n = 131) and again in a separate set of plots 34 years postfire (n = 55). Stem characteristics such as species identity (e.g., lodgepole pine, whitebark pine, Engelmann spruce, subalpine fir, and Douglas-fir), diameter at breast height, whether the tree was alive or dead at the time of fire, and the mode of snag-fall (snapping or uprooting) were measured and used to explain patterns of snag persistence and modes of snag-fall. In addition, plot-level environmental variables (e.g., slope, aspect, elevation, stand density) were measured and related to the proportion of stems still standing as snags at 14-15 and 34 years postfire. Data collection is complete and is part of a forthcoming manuscript in revision at Forest Ecology and Management.
Fig. 3 in Insect herbivory following fire on Lyonia fruticosa, an ericaceous shrub of Florida scrub
Fig. 3. Lyonia fruticosa traits with time-since-fire: (A) height, (B) number of stems, (C) proportion of plants flowering, and (D) leaf area. For all panels, points show the mean ± 1 SE of plants within a management unit. Generalized additive models were fitted using the mean values for each management unit to avoid pseudoreplication. Solid regression lines and the shaded areas show the predicted values with 1 SE.
Fig. 2 in Insect herbivory following fire on Lyonia fruticosa, an ericaceous shrub of Florida scrub
Fig. 2. Time-since-fire and herbivore damage by type across whole plants. Points show the mean ± 1 SE of plants within a management unit. Generalized additive models were fitted using the mean values for each management unit to avoid pseudoreplication. When significant, solid regression lines and the shaded areas show the predicted values with 1 SE.
Fig. 1 in Insect herbivory following fire on Lyonia fruticosa, an ericaceous shrub of Florida scrub
Fig. 1. Time-since-fire and herbivory across whole plants. (A) Percent herbivory with time-since-fire; (B) proportion of leaves damaged with time-since-fire. For both panels, points show the mean ± 1 SE of plants within a management unit. Generalized additive models were fitted using the mean values (see text for details). Solid regression lines and the shaded areas show the predicted values with 1 SE.
Trees have similar growth responses to first-entry fires and reburns following long-term fire exclusion
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Severity outweighs pyrodiversity in shaping avian and bat species distributions following an oak woodland mega-fire
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Soil Characteristics Following a Lightning-Initiated Fire at MacKenzie Flats, Sevilleta National Wildlife Refuge, New Mexico (1998)
We evaluated soil characteristics after a lightning-initiated fire. Following the fire in July 1998, 25 experimental plots were established on the eastern edge of MacKenzie Flats at the Sevilleta National Wildlife Refuge. Ten of these plots were located in a Bouteloua gracilis (blue grama)-dominated site, while 15 were established in another area dominated by Bouteloua eriopoda (black grama). All plots were oriented along a topographic gradient that ran in an east-west direction. At three topographic locations within each plot, soil samples were taken at two depths from an area covered by perennial grass as well as an area devoid of vegetation. Soil samples were collected in July 1998 and analyzed for moisture content and soil texture.
Fruit and Seed fall in southeast Amazonia following experimental fires
<p>This dataset was used to investigate how wildfires and edge effects affected fruit and seed (FS) production and diversity of a tropical forest. The research was conducted in southeast Amazonia from 2005-2018, using three 50-hectare plots with varying fire regimes: a control plot, a plot burned annually, and a plot burned every three years (with exception of 2008). These plots also experienced edge effects, two droughts, and a blowdown event. The findings indicate that while low-intensity fires alone had a minor impact on FS production, the combined effects of fires, droughts, and windthrow led to significant declines in FS diversity and production. Additionally, the species composition shifted towards trees with acquisitive strategies, characterized by faster growth, thinner leaves and bark, and shorter stature, particularly along the edges of the burned plots. This research highlights the complex interactions between different types of disturbances and their cumulative impact on tropical forest ecosystems</p>
Rare but not lost: Endemic mountain lizard occupancy following mega-fire and grazing disturbances
<p>Wildfires and grazing by invasive herbivores can influence habitat suitability for ground‐dwelling fauna, such as reptiles. Australia has a large and diverse reptile fauna, with the Australian Alps bioregion in the southeast of the continent supporting a disproportionately high number of threatened species. In this bioregion, many species are threatened by fire, habitat loss or modification, and invasive species. The range of one such threatened endemic lizard, <em>Cyclodomorphus praealtus</em> (family Scincidae), was impacted by the 2019–20 mega-fires and is also subject to widespread grazing by invasive species. We investigated the relationship between <em>C. praealtus</em> site occupancy and fire and grazing. We completed 2045 surveys across 120 sites over 4 years, detecting the species at 43% of sites and increasing the species' known geographic range. Using single-season detection occupancy models, we found <em>C. praealtus</em> occupancy was not associated with elevation, vegetation height, or whether the site was burnt, but was positively associated with grazing activity. Our results indicate that <em>C. praealtus</em> can persist following a single fire in some cases and that habitats with high occupancy probabilities are subject to high grazing pressure. However, our results do not rule out more nuanced impacts associated with these disturbances, which affect a large proportion of <em>C. praealtus</em>' habitat. Our cumulative detection probability calculations revealed that considerable survey effort is often required to determine <em>C. praealtus</em> site occupancy. We therefore recommend that impact assessments assume species presence within areas of suitable habitat within the species' range. Our study improves our understanding of disturbance impacts on <em>C. praealtus</em>' occupancy while demonstrating the need for sufficiently resourced impact assessments for cryptic and threatened species.</p>
Rare but not lost: Endemic mountain lizard occupancy following mega-fire and grazing disturbances
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Predation on artificial caterpillars following understorey fires in human-modified Amazonian forests
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Fruit and Seed fall in southeast Amazonia following experimental fires
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Data from: Limited conifer regeneration, but widespread regeneration of aspen seedlings following the Cameron Peak Fire, northwestern Colorado
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Data set: Burn severity and soil chemistry are weak drivers of early vegetation succession following a boreal mega-fire in a production forest landscape
<p>Data used in the analyses of the study. Data set on soil chemistry (pH, organic content, nutrient content), plots distance to the fire perimeter, and plant communities (vascular plants and bryophytes) recorded in permanent plots on clearcuts in a burn-severity gradient two and five years following a wildfire. Data collected from a 13000 hectare wildfire that occurred in 2014, in boreal southern Sweden. Calculated trait means from data bases, and plant community data from unburned plots from another study, are are also included here.</p>
Biodiversity and Forest structure one year following the 2016 Fort McMurray (Alberta) fire event
<p>Exploration practices for oil sands developments in the boreal forest of western Canada create a network of thousands of kilometers of linear features, particularly seismic lines that dissect these forests posing significant environmental challenges. As wildfire is one of the prevalent stand-replacing natural disturbances in the Canadian boreal forest, it is an important driver of environmental change and stand development that may contribute to the mitigation of such linear industrial footprint. Here, we evaluate the short-term cumulative (also known as combined) effects of seismic lines and wildfire on biodiversity and site conditions. One year after the Horse River (Fort McMurray, Alberta) fire event in the spring of 2016, we compared dissected and undisturbed forests in burned and unburned boreal peatlands, assessing changes in overall stand structure and the responses of a variety of organisms. Soil moisture was significantly higher on seismic lines than in the adjacent forest, suggesting why most of the study sites within the fire perimeter showed little evidence of burning at the line in relation to the adjacent forest. Low fire severity on seismic lines seemed an important driver of local species diversity for ants, beetles, spiders, and plants in disturbed peatlands, resulting in similar species composition on seismic lines both within and outside the burned area, but different assemblages in burned and unburned adjacent forests. Our results suggest that fire did not erase seismic lines; rather, wildfire might increase the influence of this footprint on the recovering adjacent forest. Longer term monitoring will be necessary to understand how boreal treed peatlands respond to the cumulative effect of wildfire and linear disturbances.</p>
Data from: Pyrodiversity promotes avian diversity over the decade following forest fire
An emerging hypothesis in fire ecology is that pyrodiversity increases species diversity. We test whether pyrodiversity—defined as the standard deviation of fire severity—increases avian biodiversity at two spatial scales, and whether and how this relationship may change in the decade following fire. We use a dynamic Bayesian community model applied to a multi-year dataset of bird surveys at 1106 points sampled across 97 fires in montane California. Our results provide strong support for a positive relationship between pyrodiversity and bird diversity. This relationship interacts with time since fire, with pyrodiversity having a greater effect on biodiversity at 10 years post-fire than at 1 year post-fire. Immediately after fires, patches of differing burn severities hold similar bird communities, but over the ensuing decade, bird assemblages within patches of contrasting severities differentiate. When evaluated at the scale of individual fires, fires with a greater heterogeneity of burn severities hold substantially more species. High spatial heterogeneity in severity, sometimes called 'mixed-severity fire', is a natural part of wildfire regimes in western North America, but may be jeopardized by climate change and a legacy of fire suppression. Forest management that encourages mixed-severity fire may be critical for sustaining biodiversity across fire-prone landscapes.
Data from: Ants, fire and bark traits affect how African savanna trees recover following damage
Bark damage resulting from elephant feeding is common in African savanna trees with subsequent interactions with fire, insects and other pathogens often resulting in tree mortality. Yet, surprisingly little is known about how savanna trees respond to bark damage. We addressed this by investigating how the inner bark of marula (Sclerocarya birrea), a widespread tree species favoured by elephants, recovers after bark damage. We used a long-term fire experiment in the Kruger National Park to measure bark recovery with and without fire. At 24 months post-damage, mean wound closure was 98, 92, and 72% respectively in annual and biennial burns and fire exclusion treatments. Fire exclusion resulted in higher rates of ant colonisation of bark wounds, and such ant colonisation resulted in significantly lower bark recovery. We also investigated how ten common savanna tree species respond to bark damage and tested for relationships between bark damage, bark recovery and bark traits while accounting for phylogeny. We found phylogenetic signal in bark dry matter content, bark N and bark P, but not in bark thickness. Bark recovery and damage was highest in species which had thick moist inner bark and low wood densities (Anacardiaceae), intermediate in species which had moderate inner bark thickness and wood densities (Fabaceae) and lowest in species which had thin inner bark and high wood densities (Combretaceae). Elephants prefer species with thick, moist inner bark, traits that also appear to result in faster recovery rates.
3rd National Competition of Line Follower and Fire Fighter Robots
<p>S.A. Tafrishi and H. Karimkhani. “3rd National Competition of Line Follower and<br /> Fire Fighter Robots”. Tabriz, Iran , First line follower programmed with Cortexm3<br /> Processor, Rougeknight Robot, 20-21 Sep. 2012.</p> <p>Link to board designs and all the codes:<br /> https://www.dropbox.com/sh/ag1m801kepnhadf/AACJF5FN6j7897DpWxmF82b1a?dl=0</p>
On following pages: 265. Small Sun Squirrel (Heliosciurus punctatus); 266. Ruwenzori Sun Squirrel (Heliosciurus 269. Forest Giant Squirrel (Protoxerus stangeri); 270. Slender-tailed Squirrel (Protoxerus aubinnii); 271. Western Palm (Funisciurus substriatus); 274. Red-cheeked Rope Squirrel (Funisciurus leucogenys); 275. Thomas's Rope Squirrel ruwenzoril); 267. Zanj Sun Squirrel (Heliosciurus undulatus); 268. Mutable Sun Squirrel (Heliosciurus mutabilis), Squirrel (Epixerus ebii); 272. Fire-footed Rope Squirrel (Funisciurus pyrropus); 273. Kintampo Rope Squirrel (Funisciurus anerythrus); 276. Lady Burton's Rope Squirrel (Funisciurus isabella). in Sciuridae
On following pages: 265. Small Sun Squirrel (Heliosciurus punctatus); 266. Ruwenzori Sun Squirrel (Heliosciurus 269. Forest Giant Squirrel (Protoxerus stangeri); 270. Slender-tailed Squirrel (Protoxerus aubinnii); 271. Western Palm (Funisciurus substriatus); 274. Red-cheeked Rope Squirrel (Funisciurus leucogenys); 275. Thomas's Rope Squirrel ruwenzoril); 267. Zanj Sun Squirrel (Heliosciurus undulatus); 268. Mutable Sun Squirrel (Heliosciurus mutabilis), Squirrel (Epixerus ebii); 272. Fire-footed Rope Squirrel (Funisciurus pyrropus); 273. Kintampo Rope Squirrel (Funisciurus anerythrus); 276. Lady Burton's Rope Squirrel (Funisciurus isabella).
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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)
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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.