2,318 research outputs found

    Socio-ecological drivers of resource selection and habitat use by moose in Interior Alaska

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    Thesis (Ph.D.) University of Alaska Fairbanks, 2016Sustainably managing wildlife with diverse utilization values is one of the greatest challenges facing contemporary wildlife management. These challenges can be amplified under changing environmental and socio-economic conditions. In Alaska, boreal forest systems are experiencing rapid change as a result of climate warming. Alaska’s boreal region has warmed twice as rapidly as the global average, affecting a host of processes including an increase in wildfire frequency, extent, and severity. Wildfire is the most common ecological disturbance in the Alaskan boreal forest and an important driver of landscape heterogeneity, burning on average 1 to 2 million acres per year. Fire severity is a particularly important factor dictating the regeneration of deciduous species, and one that can influence the overall quality of habitat for herbivores, such as moose (Alces alces). However, the relationships between the availability and duration of biomass production and moose habitat selection are largely unknown. Additionally, the effects of fire on wildlife resources in Alaska can have important consequences for boreal social-ecological systems as well. Fire-related changes to the community composition of forest stands would likely affect the densities of species that human communities rely on for hunting and trapping. In Interior Alaska, where natural wildfire is the primary means of increased browse production for moose, managers may want to consider incorporating burns into management plans while paying particular attention to hunter accessibility. However, an increase in hunter activity into moose habitat could result in changes to moose distribution and activity patterns near trails and roads. To examine these questions I utilized telemetry data from 26 moose along with methods in spatial ecology, plant-animal interactions, resource selection and human dimensions of wildlife research to predict the influence of an ecological disturbance (fire) and an anthropogenic disturbance (hunter activity) on moose habitat use. I used dynamic Brownian bridge movement models (dBBMM) in conjunction with browse assessment surveys to examine how fire severity, via its control over vegetation composition, forage production and nutritional quality, affect habitat use patterns of moose across their seasonal home ranges and core use areas. To assess the effects of hunter activity on moose habitat use, I created fine-scale stepselection models to test whether habitat selection and movement patterns were affected by spatio-temporal variation in risk from hunting activity. Additionally, from August-October, I used a camera trap array to collect field data on human activity (off-road vehicles, automobiles, 4x4 trucks, dirt bikes, and hunters afoot) together with the RandomForests algorithm to create high-resolution hunter distribution models. Finally, to integrate my research within a socialecological framework, I examined the interactions between wildfire, forage production and hunter access on management scenarios overtime. In winter, moose preferred low-severity sites more than high and moderate-severity sites, but in summer, moose selected for high-severity sites. Forage biomass production ranged from 62 to 243 kg/ha/yr across all sites during winter within the Hajdukovich Creek Burn, but production and availability varied depending on fire severity and browse species. These results indicate that differing distributions of wildfire severity across a landscape can create a dynamic, mosaic of habitat patches that may optimize and extend the value of burns over time for moose. I found that while moose selected habitat closer to trails and roads, they also avoided areas with more hunting activity. Finally, my management scenarios provide a framework for managers to adapt goals and actions to changing conditions that can affect moose-hunter systems. I recommend that wildlife conservation and management decisions consider these methods as we seek to sustainably manage wildlife for future generations during a time of rapid socio-ecological change in Alaska.Chapter 1. Introduction -- Chapter 2. Applications of resilience theory in management of a moose hunter system in Alaska -- Chapter 3. Fire-mediated patterns of habitat use by male moose in boreal Alaska -- Chapter 4. Connecting moose movement and habitat selection to spatio-temporal variation in risk during the hunting season -- Chapter 5. General conclusions

    Ease into It. Effects of Mobilization with Movement Utilizing Patients Body Weight

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    The purpose of this case report is to utilize mobilization with movement (MWM) to restore knee flexion in a patient with delayed quadriceps tendon repair.https://soar.usa.edu/flsaspring2018/1002/thumbnail.jp

    Comparison of Two Zooplankton Sampling Gears in Shallow, Homogeneous Lakes

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    We compared two zooplankton collection gears, Wisconsin nets and column samplers, to evaluate the effectiveness of each gear in quantifying inshore and offshore zooplankton density and size structure in shallow, homogeneous lakes. Zooplankton densities (within gear) did not differ (P \u3e 0.05) between inshore and offshore sites in either study lake, with the exception of Wisconsin-netted Cyclops sp. in Lake Goldsmith. Wisconsin net samples produced a higher mean zooplankton density than column samplers for Bosmina sp., Cyclops sp., and Daphnia sp. in East Oakwood Lake and for Cyclops sp. (inshore), Daphnia sp., and Diaptomus sp. in Lake Goldsmith. Zooplankton densities had greater variability (coefficients of variation) in 4 of 5 taxa collected with the Wisconsin net in both study lakes. Zooplankton size structure did not differ (P\u3e 0.05) between gears in either study lake, with the exception of Diaptomus sp. in East Oakwood Lake. Our results suggest that column samplers have higher precision than Wisconsin nets when sampling common zooplankton species in shallow, homogeneous lakes

    Ecosystem Services: Challenges and Opportunities for Hydrologic Modeling to Support Decision Making

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    Ecosystem characteristics and processes provide significant value to human health and well- being, and there is growing interest in quantifying those values. Of particular interest are water-related eco- system services and the incorporation of their value into local and regional decision making. This presents multiple challenges and opportunities to the hydrologic-modeling community. To motivate advances in water-resources research, we first present three common decision contexts that draw upon an ecosystem- service framework: scenario analysis, payments for watershed services, and spatial planning. Within these contexts, we highlight the particular challenges to hydrologic modeling, and then present a set of opportu- nities that arise from ecosystem-service decisions. The paper concludes with a set of recommendations regarding how we can prioritize our work to support decisions based on ecosystem-service valuation

    Behavioral indices of positivity resonance associated with long-term marital satisfaction.

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    Positivity resonance-defined as a synthesis of shared positive affect, mutual care and concern, plus behavioral and biological synchrony-is theorized to contribute to a host of positive outcomes, including relationship satisfaction. The current study examined whether, in long-term married couples, behavioral indices of positivity resonance (rated using a new behavioral coding system) are associated with concurrent shared positive affect using a well-established dyadic-level behavioral coding system (i.e., Specific Affect Coding System: SPAFF), and whether positivity resonance predicts concurrent marital satisfaction independently from other affective indices. Long-term married couples completed a self-report inventory assessing marital satisfaction and were then brought into the laboratory to participate in a conversation about an area of marital disagreement while being videotaped for subsequent behavioral coding. Interrater reliability for positivity resonance behavioral coding was high (intraclass correlation coefficient: 0.8). Results indicated that positivity resonance is associated with frequency of shared positive affect using SPAFF. No associations were found between positivity resonance and frequencies of SPAFF-coded individual-level positive affect or shared negative affect. Additionally, positivity resonance predicted marital satisfaction independently from frequencies of SPAFF-coded shared positive affect and individual-level positive affect alone. The effect of positivity resonance on marital satisfaction also remained significant after controlling for overall affective tone of conflict conversation. These findings provide preliminary construct and predictive validity for positivity resonance behavioral coding, and highlight the possible role positivity resonance may play in building relationship satisfaction in married couples. (PsycInfo Database Record (c) 2020 APA, all rights reserved)
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