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67 results for “Fire management”
Data from: Modelling variability in the fire-response of an endangered bird to improve fire-management
Conservation managers regularly burn vegetation to regenerate habitat for fire-dependent species. When determining the time-since-fire at which to burn, managers model change in a species' occurrence over time, post-fire (fire-response curve) and identify the time-since-fire associated with decline in occurrence. However, where species exhibit variability in their fire-response across space, using a single fire-response curve to determine the timing of burns may lead to burning habitat at an inappropriate time-since-fire. We tested if elevation, local topography, soil properties, vegetation type or evapotranspiration affect the fire-response of the endangered mallee emu-wren Stipiturus mallee and its hummock-grass habitat Triodia scariosa in south-eastern Australia (n= 217). Previous work on the mallee emu-wren found a unimodal fire-response with decline in occurrence at ~30-50 years-since-fire and a time-window of occurrence of ~30 years. We found that time-since-fire and elevation interact to affect the mallee emu-wren fire-response. At high elevations (55-98 m), mallee emu-wrens declined in occurrence at ~50 years-since-fire, with a time-window of occurrence of 20-40 years. However, at low elevations (28-55 m), mallee emu-wrens showed no decline in occurrence with increasing time-since-fire with a time-window of occurrence of up to 107 years. Extent cover of Tall T. scariosa showed similar patterns to the mallee emu-wren, indicating that vegetation structure is a likely driver of variability in the mallee emu-wren fire-response. We speculate that the effect of low elevation is mediated by increased soil nutrient and water availability for key plants. We used our findings to map the appropriate time-since-fire at which to burn to regenerate habitat for the mallee emu-wren across the study-region. We recommend no burning for regeneration across one-third of potential habitat, because the mallee emu-wren showed no decline in occurrence in these areas. We recommend managers model variability in species' fire-responses across space to improve the timing of burns for regeneration.
Data from: Survey design for precise fire management conservation targets
Common goals of ecological fire management are to sustain biodiversity and minimize extinction risk. A novel approach to achieving these goals determines the relative proportions of vegetation growth stages (equivalent to successional stages, which are categorical representations of time since fire) that maximize a biodiversity index. The method combines data describing species abundances in each growth stage with numerical optimization to define an optimal growth-stage structure which provides a conservation-based operational target for managers. However, conservation targets derived from growth-stage optimization are likely to depend critically on choices regarding input data. There is growing interest in use of growth-stage optimization as a basis for fire management, thus understanding of how input data influence the outputs is crucial. Simulated datasets provide a flexible platform for systematically varying aspects of survey design and species inclusions. We used artificial data with known properties, and a case-study dataset from southeastern Australia, to examine the influence of (i) survey design (total number of sites, and their distribution among growth stages) and (ii) species inclusions (total number of species and their level of specialization) on the precision of conservation targets. Based on our findings, we recommend that survey designs for precise estimates would ideally involve at least 80 sites, and include at least 80 species. Greater numbers of sites and species will yield increasingly reliable results, but fewer might be sufficient in some circumstances. An even distribution of sites among growth stages was less important than the total number of sites, and omission of species is unlikely to have a major influence on results as long as several species specialize on each growth stage. We highlight the importance of examining the responses of individual species to growth stage before feeding survey data into the growth-stage optimization black box, and advocate use of a resampling procedure to determine the precision of results. Collectively, our findings form a reproducible guide to designing ecological surveys that yield precise conservation targets through growth-stage optimization, and ultimately help sustain biodiversity in fire-prone systems.
Evaluation of the Effectiveness of the Training Given to Mothers With 0-5 Age Group Children for Fire Management
ClinicalTrials.gov study NCT06043479. IPD Sharing: NO. Countries: 1. Publications: 0.
Stress Management Programs in Fire-fighters
ClinicalTrials.gov study NCT02137941. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Fire Fighter Fatigue Management Program: Operation Fight Fatigue
ClinicalTrials.gov study NCT01672502. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Survey design for precise fire management conservation targets
Open the record for dataset details and reuse information.
Data from: Modelling variability in the fire-response of an endangered bird to improve fire-management
Open the record for dataset details and reuse information.
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International Brain Laboratory public data
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OpenNeuro
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