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368 results for “wildfires”
Figure 3 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 3. Best Maximum Likelihood tree based on analysis of the concatenated dataset of 16S and COI genes. Numbers on branches indicate nodal support by 10,000 ultra-fast bootstrap replicates. Scale bar indicating 10% of modelled sequence divergence. Note that the species for the immature specimens were misidentified (L638 = Iotula microcosmos misidentified as P. morti; L645 = Pseudiotula eurysiana misidentified as P. annabelli).
Figure 2 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 2. Shell dimensions measured. Abbreviations: SW, shell width; AW, aperture width; SH, shell height; BWH, body whorl height; AH, aperture height; UW, umbilicus width; and PW, protoconch width.
Figure 1 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 1. Shells of (A–B) Paralaoma morti and (C–D) Paralaoma annabelli: (A) lectotype, Darling Point (AM C.031181); (B) Woollahra, 1 km from lectotype locality of P. morti (AM C.347565); (C) holotype, Wombeyan Caves (AM C.353384); (D) Jenolan Caves (AM C.466715). Main scale bar = 1 mm. Inset scale bar = 100 µm.
Figure 7 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 7. Scatterplots of shell shape metrics for Paralaoma annabelli and Paralaoma morti: (A) AH/AW, (B) UW/SW, (C) SW/SH, (D) SW/NOW, (E) UW/NOW, (F) BWH/SH, (G) AW/SW, (H) AH/SH, (I) AH/BWH, and (J) SH/NOW.
Spain Wildfires
<p><strong>Conjunto de datos Spain Wildfires </strong></p> <p>Contiene datos de los incendios forestales ocurridos en España entre los años 1968 y 2016. Está formada por 585400 observaciones y 46 atributos que se describen a continuación.</p> <p><strong>idpif:</strong> código del incendio</p> <p><strong>anio:</strong> año</p> <p>Valores calculados acerca del incendio, su consulta se puede llevar a cabo en el siguiente <a href="https://www.miteco.gob.es/es/biodiversidad/temas/incendios-forestales/instrucciones_parte_incendio_tcm30-512355.pdf">enlace</a></p> <p><strong>idestadopif: </strong>indicador del incendio</p> <p><strong>probabilidadignicion: </strong>indicador de la probabilidad de ignición del incendio</p> <p><strong>idpeligro: </strong>índice de peligro categorizado en prealerta (0), alerta (1), alarma (2), alarma extrema (3)</p> <p><strong>idcomunidad:</strong> codificación de la comunidad autónoma, no sigue la codificación oficial del INE</p> <p><strong>comunidad</strong>: denominación de la comunidad autónoma</p> <p><strong>idprovincia:</strong> codificación de la provincia, sigue la codificación oficial del INE</p> <p><strong>provincia</strong>: denominación de la provincia</p> <p>Valores relacionados con la ubicación del municipio afectado con el fuego que se han cruzado con conjuntos de datos del INE y del Instituto Geográfico Nacional</p> <p><strong>municipio</strong>: nombre del municipio, se ha codificado como desconocido aquellos municipios en los que no ha sido posible obtener su codificación</p> <p><strong>latitud</strong></p> <p><strong>longitud</strong></p> <p><strong>altitud</strong></p> <p><strong>numminicipiosafectados:</strong> número de municipios afectados en el incendio</p> <p><strong>deteccion:</strong> fecha y hora de la detección del incendio</p> <p><strong>extinguido</strong>: fecha y hora de la extinción del incendio</p> <p><strong>horadeteccion:</strong> hora de detección por tramos</p> <ul> <li>mañana: de 6 a 12 </li> <li>tarde: de 12 a 19 </li> <li>noche: de 19 a 24 </li> <li>madrugada de 24 a 6 </li> </ul> <p><strong>mesdeteccion</strong>: mes en el que se produjo el incendio</p> <p><strong>duracion:</strong> días de extinción del incendio</p> <p><strong>primeranotificacion112:</strong> si la primera notificación del incendio se produjo a través del 112</p> <p><strong>iddetectadopor:</strong> quién ha notificado la existencia del incendio</p> <ul> <li>vigilante_fijo</li> <li>agente_forestal</li> <li>vigilante_movil</li> <li>aeronave</li> <li>llamada_particular</li> <li>ccff_seguridad</li> <li>stmas_automaticos</li> <li>base_cdf</li> <li>ejercito</li> <li>otros</li> </ul> <p><strong>idcausa</strong>: código que hace referencia a la causa del incendio en el que todos aquellos códigos de 400 a 499 incluidos hacen referencia a que el incendio ha sido intencionado; el resto de los códigos se corresponden con incendios no intencionados.</p> <p><strong>idmotivacion</strong>: código específico de incendios intencionados que hace referencia a la motivación que lo ha provocado</p> <p><strong>causa:</strong> atributo extraído de idcausa categorizado como intencionado y no_intencionado</p> <p><strong>idcertidumbrecausa</strong>: valor numérico que hace referencia a si la causa es cierta (1) o supuesta (2). Aplica a todo tipo de causa, es decir, tendremos incendios intencionados, supuestamente intencionados, no intencionados y supuestamente no intencionados.</p> <p><strong>idcausante</strong>: si se ha identificado al causante del incendio o no, identificado (1) o no identificado (2)</p> <p><strong>idclasedia</strong>: valor categórico que distingue los tipos de días:</p> <ul> <li>laborable</li> <li>sábado</li> <li>festivo</li> <li>laborable_vispera_festivo</li> </ul> <p><strong>diasultimalluvia</strong>: días desde la última vez que llovió en la zona al inicio del incendio</p> <p><strong>tempmaxima</strong>: temperatura máxima en el inicio del incendio en ºC</p> <p><strong>humrelativa</strong>: humedad relativa en el inicio del incendio</p> <p><strong>velocidadviento</strong>: velocidad del viento en el inicio del incendio en km/h</p> <p><strong>direccionviento</strong>: dirección del viento en el inicio del incendio categorizado en N, S, E, W, NE, SE, SW, NW</p> <p><strong>perdidassuperficiales</strong>: total de superficie quemada en el incendio en Ha</p> <p><strong>clasedeincendio</strong>: atributo extraído de las perdidassuperficiales para categorizar el incendio en:</p> <ul> <li>grandes incendios forestales (gif), mayor a 500 Ha</li> <li>incendios, entre 1 y 500 Ha</li> <li>conatos, menor a 1 Ha</li> </ul> <p><strong>numerodemediospersonal</strong>: número de personas que intervinieron en el incendio</p> <p><strong>numerodemediospesados</strong>: número de medios pesados que intervinieron en el incendio</p> <p><strong>numerodemediosaereos</strong>: número de medios aéreos que intervinieron en el incendio</p> <p><strong>lugar</strong>: atributo que indica el lugar en el que se produjo el inicio del incendio. En esta parte el director de extinción puede marcar uno o más lugares como localización del inicio del incendio. Se ha categorizado en</p> <ul> <li>excursionistas</li> <li>viasferreas</li> <li>lineaselectricas</li> <li>vertederos</li> <li>autoviacarretera</li> <li>pistacamino</li> <li>senda</li> <li>edificaciones</li> <li>otros</li> </ul> <p><strong>combustible</strong>: hace referencia a los modelos de combustible existentes en la zona de inicio del incendio. Se puede marcar más de uno, por esta razón aparecerán en este atributo varias categorías únicas y combinadas en base a las categorías siguientes:</p> <ul> <li>bosques</li> <li>matorral</li> <li>pastizal</li> <li>restos</li> </ul> <p><strong>tipodefuego</strong>: hace referencia a la propagación del incendio. Se puede marcar más de uno, por esta razón aparecerán en este atributo varias categorías únicas y combinadas en base a las categorías siguientes:</p> <ul> <li>superficie</li> <li>subsuelo</li> <li>copas</li> <li>focos secundarios</li> </ul> <p><strong>tipodeataque</strong>: tipo de ataque empleado en la extinción del incendio, categorizado en:</p> <ul> <li>directo</li> <li>indirecto</li> <li>combinado</li> </ul> <p>Coordenadas utm del punto de inicio del fuego</p> <p><strong>huso</strong></p> <p><strong>x</strong></p> <p><strong>y</strong></p> <p><strong>iddatum</strong></p> <p>Para más información acerca de la base de datos se puede consultar el <a href="https://www.miteco.gob.es/es/biodiversidad/temas/incendios-forestales/instrucciones_parte_incendio_tcm30-512355.pdf">parte de incendios</a></p> <p>Propietario del conjunto de datos de EGIF (Estadística General de Incendios Forestales) <a href="https://datos.gob.es/es/catalogo?publisher_display_name=Ministerio+para+la+Transici%C3%B3n+Ecol%C3%B3gica+y+el+Reto+Demogr%C3%A1fico">Ministerio para la Transición Ecológica y el Reto Demográfico</a> </p> <p>Autores de la base de datos:</p> <p><a href="https://www.linkedin.com/in/carlos-continente-sisam%C3%B3n-95a030231">Carlos Continente Sisamón</a></p> <p><a href="https://www.linkedin.com/in/patriciacarretero/">Patricia Luengo Carretero</a></p> <p><a href="https://www.linkedin.com/in/joel-rodr%C3%ADguez-plo-b75256206/">Joel Rodríguez Plo</a></p> <p>Alejandro Torrellas Marco</p> <p> </p> <p><br> Esta obra está bajo una <a href="https://creativecommons.org/licenses/by/4.0/">Licencia Creative Commons Atribución 4.0 Internacional</a>.</p>
Data and code for: Wildfire activity in northern Rocky Mountain subalpine forests still within millennial-scale range of variability
<p>Increasing area burned across western North America raises questions about the precedence and magnitude of changes in fire activity, relative to the historical range of variability (HRV) that ecosystems experienced over recent centuries and millennia. Paleoecological records of past fire occurrence provide context for contemporary changes in ecosystems characterized by infrequent, high-severity fire regimes. Here we present a network of 12 fire-history records derived from macroscopic charcoal preserved in sediments of small subalpine lakes within a c. 10,000 km<sup>2</sup> landscape in the U.S. northern Rocky Mountains (Northern Rockies). We used this network to characterize landscape-scale burning over the past 2500 yr and evaluate the precedence of widespread regional burning experienced in the early 20<sup>th</sup> and 21<sup>st </sup>centuries. We further compare the Northern Rockies fire history to a previously published network of fire-history records in the Southern Rockies. In Northern Rockies subalpine forests, widespread fire activity was strongly linked to seasonal climate conditions, in contemporary, historical, and paleo records. The average estimated fire rotation period (FRP) over the past 2500 years was 164 yr (HRV: 127-225 yr), while the contemporary FRP from 1900-2021 CE was 215 yr. Thus, extensive regional burning in the early 20<sup>th</sup> century (e.g., 1910 CE) and in recent decades was within the HRV of recent millennia. Results from the Northern Rockies contrast with the Southern Rockies, which burned with less frequency on average over the past 2500 yr, and where 21<sup>st</sup>-century burning has exceeded the HRV. Our results support expectations that Northern Rockies fire activity will continue to increase with climatic warming, surpassing historical burning if more than one exceptional fire year akin to 1910 occurs within the next several decades. The societal and ecological consequences of climatic warming in subalpine forests will depend, in large part, on the magnitude of fire-regime changes relative to the past.</p>
Datasets and R code associated with: Acute Health Effects of Wildfire Smoke Exposure During a Compound Event: A Case-Crossover Study of the 2016 Great Smoky Mountain Wildfires
<p>The attached code and csv files accompany the manuscript titled: Acute Health Effects of Wildfire Smoke Exposure During a Compound Event: A Case-Crossover Study of the 2016 Great Smoky Mountain Wildfires by Duncan et al. accepted for publication in the journal GeoHealth in September 2023. </p> <p><a href="https://zenodo.org/api/files/8e030710-b091-48a9-aec4-f9b3de6a0325/Project%20wildfire%20data.csv">Project wildfire data.csv</a> contains a subset wildfire data obtained from:</p> <p>Short, Karen C. 2022. Spatial wildfire occurrence data for the United States, 1992-2020 [FPA_FOD_20221014]. 6th Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2013-0009.6</p> <p><a href="https://zenodo.org/api/files/8e030710-b091-48a9-aec4-f9b3de6a0325/Modeled%20PM2.5%20data_clean.csv">Modeled PM2.5 data_clean.csv</a> includes modeled PM<sub>2.5</sub> concentrations used to make Figure 2. Model results can be obtained from <a href="https://www.epa.gov/hesc/rsig-related-downloadable-data-files">EPA's Fused Air Quality Surfaces Using Downscaling Tool</a>. <a href="https://zenodo.org/api/files/8e030710-b091-48a9-aec4-f9b3de6a0325/plot_Modeled.R">plot_Modeled.R</a> contains the R code to generate this figure. </p> <p><a href="https://zenodo.org/api/files/8e030710-b091-48a9-aec4-f9b3de6a0325/ORs%20all%20Counties.csv">ORs all Counties.csv</a> contains the odds ratios, confidence intervals, and p-values used to make Figures 3, 4, and 5.<a href="https://zenodo.org/api/files/8e030710-b091-48a9-aec4-f9b3de6a0325/PM2.5%2035ug-m3%20ORs.csv">PM2.5 35ug-m3 ORs.csv</a> contains the odds ratios, confidence intervals, and p-values used to make Figure S1. <a href="https://zenodo.org/api/files/8e030710-b091-48a9-aec4-f9b3de6a0325/Wildfire_Forest.R">Wildfire_Forest.R</a> contains the R code to generate these figures. </p>
Forecasting live fuel moisture of Adenostema fasciculatum and its relationship to regional wildfire dynamics across southern California shrublands
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Data and code from: Western larch regeneration more sensitive to wildfire-related factors than seasonal climate variability
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Data and code for: Wildfire activity in northern Rocky Mountain subalpine forests still within millennial-scale range of variability
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Data from: Wildfire disturbance and ecological cascades: teasing apart the direct and indirect effects of fire on tick populations
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Data and code from: Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires
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The Western United States MTBS-Interagency Database of Large Wildfires, 1984–2024 (WUMI2024a)
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Identifying functional impacts of heat-resistant fungi on boreal forest recovery after wildfire
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Data from: Plant uptake offsets silica release from a large Arctic tundra wildfire
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Changing wildfire complexity highlights the need for institutional adaptation
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Data from: Wildfire smoke impacts the body condition and capture rates of birds in California
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Climate is more influential to vegetation green-up than factors that contribute to erosion following high-severity wildfire
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Wildfires and climate change push low-elevation forests across a critical climate threshold for tree regeneration
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Data from: Wildfires induce a reduction in body size and morphological variation of an insular endemic insect
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International Brain Laboratory public data
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