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Dataset results
13 results for “management removal”
Data from: Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes
<p>The published dataset contains the result of the paper titled <strong>Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes, in Journal of Environmental Management.</strong></p> <p>Two zip files contain maps in ascii format for the total bark beetle and wind damage over 54 simulation year in our study region in Slovakia under reference climate and different climate change scenarios. No- salvaging and 95% salvaging scenarios are shown, just as in the paper.</p> <p>Excel file contains data of the other figures in the paper (main text and appendices as well).</p> <p>See more details about target area, and iLand model:</p> <p>https://www.sciencedirect.com/science/article/pii/S0168192318302946</p> <p>http://iland.boku.ac.at/startpage</p> <p>contact: Laura Dobor; dobor.laura@gmail.com</p> <p> </p>
Coupling nitrogen removal and watershed management to improve global lake water quality
<p>Updated dataset and code for the article "Coupling nitrogen removal and watershed management to improve global lake water quality" after removing deep lakes.</p>
Data from: Chaparral bird community responses to prescribed fire and shrub removal in three management seasons
Chaparral, a type of shrubland common throughout the California Floristic Province, is subject to management and removal in regions where wildfire threatens human lives and property. Management practices include conducting prescribed burns outside of the historical fire season and employing mechanical fuel reduction (mastication). As the wildland–urban interface grows, particularly in coastal California, more of this ecosystem is subject to active management. To understand the ecological implications of current California chaparral fire management practices, we studied bird species composition, abundance and foraging guilds in managed and unmanaged chaparral over 5 years. Study areas were located in Mendocino County in the coast ranges of northern California. We contrast six chaparral removal or "fuels manipulation" treatments: (1) fall fire, (2) winter fire, (3) spring fire, (4) fall mastication, (5) spring mastication and (6) untreated control. Treatments and controls were implemented in plots 2 ha or larger, and replicated four times each. We find that species richness in prescribed fire treatments reaches comparable levels to controls in the first 3 years following treatment, whereas masticated units always have lower species richness. Generalized linear mixed models additionally confirm that mastication has highly negative effects on observed abundances of birds compared to controls and to prescribed fire. The season in which fuels reduction occurred was less important to species richness, although fall fire was more beneficial to bird abundance than spring or winter fire. Fire treatments in all seasons maintain the same general bird community structure as controls, while mastication results in strongly differentiated assemblages, increasing granivores while nearly excluding foliage gleaners. Synthesis and applications. We compare two California chaparral management techniques, prescribed fire and mastication, in three seasons (fall, winter and spring) in northern California, USA. We tracked chaparral bird community response in 23 experimental units for 2–5 years. We conclude that prescribed fire and mastication are not interchangeable management techniques, and that mastication negatively impacts bird communities, altering guild structure and reducing both diversity and abundance.
Data from: Inferring invasive species abundance using removal data from management actions
Evaluation of the progress of management programs for invasive species is crucial for demonstrating impacts to stakeholders and strategic planning of resource allocation. Estimates of abundance before and after management activities can serve as a useful metric of population management programs. However, many methods of estimating population size are too labor intensive and costly to implement, posing restrictive levels of burden on operational programs. Removal models are a reliable method for estimating abundance before and after management using data from the removal activities exclusively, thus requiring no work in addition to management. We developed a Bayesian hierarchical model to estimate abundance from removal data accounting for varying levels of effort, and used simulations to assess the conditions under which reliable population estimates are obtained. We applied this model to estimate site-specific abundance of an invasive species, feral swine (Sus scrofa), using removal data from aerial gunning in 59 site/time-frame combinations (480–19,600 acres) throughout Oklahoma and Texas, USA. Simulations showed that abundance estimates were generally accurate when effective removal rates (removal rate accounting for total effort) were above 0.40. However, when abundances were small (<50) the effective removal rate needed to accurately estimates abundances was considerably higher (0.70). Based on our post-validation method, 78% of our site/time frame estimates were accurate. To use this modeling framework it is important to have multiple removals (more than three) within a time frame during which demographic changes are minimized (i.e., a closed population; ≤3 months for feral swine). Our results show that the probability of accurately estimating abundance from this model improves with increased sampling effort (8+ flight hours across the 3-month window is best) and increased removal rate. Based on the inverse relationship between inaccurate abundances and inaccurate removal rates, we suggest auxiliary information that could be collected and included in the model as covariates (e.g., habitat effects, differences between pilots) to improve accuracy of removal rates and hence abundance estimates.
Surgical Drain Removal: Pain and Anxiety Management
ClinicalTrials.gov study NCT07081425. IPD Sharing: NO. Countries: 1. Publications: 6.
Early Drain Removal Versus Standard Drain Management After Distal Pancreatectomy (Early-Dist)
ClinicalTrials.gov study NCT04609137. IPD Sharing: NO. Countries: 1. Publications: 20.
Management and Removal of Foreign Bodies in the Emergency Department
ClinicalTrials.gov study NCT05888363. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Inferring invasive species abundance using removal data from management actions
Open the record for dataset details and reuse information.
Data from: Chaparral bird community responses to prescribed fire and shrub removal in three management seasons
Open the record for dataset details and reuse information.
Benefits of an Orthodontic Device Removable Functional Appliance in the Management of Malocclusions/Orofacial Dysfunctions
ClinicalTrials.gov study NCT07127328. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Complete Removable Prosthetic Rehabilitations Performed by an Innovative DDTENS Protocol, on the Quality of Masticatory Function and the Management of Completely Edentulous Patients
ClinicalTrials.gov study NCT05096624. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Autologous Dentine Graft Compared to Xenograft in Managing Periodontally Compromised Second Molar After Third Molar Removal
ClinicalTrials.gov study NCT07362394. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Individualized Catheter Management on Early Removal After Rectal Cancer Surgery
ClinicalTrials.gov study NCT07346586. IPD Sharing: YES. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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