Changes in species abundance and richness, stand structure, and species responses to habitat characteristics including disturbance intensity, were investigated in 28 permanent sample plots (PSP) covering a total area of about 6.2 hectares of subtropical rainforests in north-east New South Wales, Australia. The disturbance that occurred over 36 years previously varied from unlogged (controls), through single-tree selection (light), moderate selection and repeated single-tree selection to intensive (heavy) logging. Multivariate and univariate approaches were used to investigate changes in various plant groups, including all vascular plants, regenerating species (trees and understorey species > 1.3 m in height and < 10 cm diameter at 1.3 m above the ground level (dbh)), juvenile trees (regenerating species capable of attaining at least 10 cm dbh), and trees ¡Ý 10 cm dbh. In addition, dynamic parameters (recruitment, growth and mortality) were estimated using hierarchical multilevel modelling and parameter estimates used to simulate behaviour of the subtropical rainforest tree species in unlogged and logged stands, both within and beyond the range of available data.Chronological post-disturbance responses and changes in species abundance and richness as well as stand structure for trees ¡Ý 10 cm dbh were investigated using 20 PSP in a bid to better understand rainforest post-disturbance regeneration. The results portrayed minor and gradual ecological changes in the undisturbed controls analogous with natural forest dynamics where the changes were not significant. In logged sites, initial gradual changes were followed with more rapid and significant changes.In both unlogged and logged stands, the changes proceeded through three clearly identifiable stages. The first two stages lasted between 5 and 15 years each. In the initial stage, the number of individuals decreased in species with high frequency mainly in the shade tolerant species, with little or no change in species richness. In the second stage, species abundance and richness changed due to localised species turnover, replacement and losses with very little recruitment, and the numbers of both speciesand individuals declined to minima. In the third stage, due to recruitment beyond the 10 cm dbh, the net loss of species and trees ¡Ý 10 cm dbh were halted and reversed, and species diversity and abundance began to return to pre-disturbance levels.Species abundance and diversity for both shade tolerant and intolerant species in less intensively logged sites (single-tree selection logging) have recovered to levels comparable with that observed in the controls, but more intensively logged sites have not recovered to similar levels. Increased logging intensity was associated with increased and decreased densities in the shade intolerant and ¨Ctolerant species respectively. It was evident that stand structure in logged sites had yet to recover to levels comparable with that of unlogged controls. It appears the restoration of floristic diversity to levels similar to that of intact primary forest takes considerably less time than structural recovery. Changes in regeneration patterns in a subtropical rainforest in north-east New South Wales were investigated for a 13-year period during the 3rd and 4th decades following repeated single-tree selection logging. Multivariate and univariate analyses results showed that there were no significant differences in floristic assemblages within and between censuses; however, two contrasting trends of changes in plant groups were detected. In trees ¡Ý 10 cm dbh, the stem density and species richness increased in shade tolerant group, and while stem density increased in the shade intolerant group, species richness decreased during the study period. Amongst smaller sized species including trees (< 10 cm dbh), a general decrease in species richness was observed along with significant changes in stem densities (P = 0.03) with the number of individuals in the shade tolerant species increasing, while that of both shade intolerant and vine species decreased. Excluding the vines and understorey species from the broader regenerating species group, revealed a decrease in species richness in juvenile canopy tree, and a significant change in densities (P = 0.004) with the number of individuals in shade tolerant increasing, while that of shade intolerant trees decreased. A comparison between the canopy trees ¡Ý 10 cm dbh and juvenile canopy trees group showed that these groups were tending towards similar floristic assemblages. These results suggest gradual replacement of shade intolerant by shade tolerant species as stands were tending toward later stages of recovery within the regeneration. The results also show that the inclusion of regenerating species in long-term studies is both complementary to the larger plant component and more revealing of both trends and changes.Species-specific estimates of shade tolerance and size structure at maturity derived from observations on 23 plots were used to intuitively group 277 vascular plant species into 3 main groups including full floristic (all together), shade tolerant and intolerant groups. The shade tolerant and intolerant groups were further grouped into smaller plants groups depending on the development stage and maximum size at maturity. These groups included regenerating species, juvenile trees, and trees ¡Ý 10 cm dbh. Multivariate analyses of these nominated groups revealed that floristic assemblages were significantly associated with environmental gradients based on simple site characteristics.At the landscape (larger) scale, the floristic assemblages were significantly different between low (200-400), mid (400-700) and high altitude (over 700 meters above sea level). In addition, abundance of shade tolerant species including Doryphora sassafras Endl, Orites excelsa R.Br and Caldcluvia paniculosa (F.Muell) Hoogland was positively correlated with the altitudinal gradient. At the smaller (local) scale, intensively logged sites where large gaps were created had recovered their species richness, but effects of past logging were evident in trees ¡Ý 10 cm dbh, especially trees greater than 50 cm dbh where species abundance in shade tolerant decreased significantly. Less intensively logged sites at mid altitude where a few stems were removed had recovered their species richness in respect to trees ¡Ý 10 cm dbh, but the small gaps created may have healed quickly for appreciable regeneration response to occur, as juvenile trees component was significantly different to that of the (unlogged) controls.The abundance of shade intolerant and juvenile shade tolerant tree species increased in concert with levels of disturbance and abundance of shade intolerant species such as Duboisia myoporoides R.Br, Acacia melanoxylon R.Br, Rubus moorei F.Muell and R. hilli F.Muell was positively correlated with the disturbance gradient. Increase in number of individuals of certain tree species was positively correlated with both disturbance intensity and topography (mid slope through lower slope to creek/gully), but negatively correlated with aspect (NE - NW). We concluded that logged sites are yet to recover their pre-logging stand structure and rainforest tree species were found in sites where favourable recruitment and growth conditions were the encountered. These results show that logged sites had not yet regenerated to the pre-logging stand structure. They also show that habitat characteristics including history of disturbance and topography can influence the floristic assemblages in the sub-tropical rainforests at both the small (local) and large (geographic) scales. This supports the environmental control model that states ¡°species are found at sites where they encounter favourable living conditions¡±. Site characteristics as surrogate for some of these favourable living conditions were identified as useful potential variables to investigate the rainforest dynamic parameters (growth, recruitment and mortality) in both logged and unlogged stands.A quantitative model was developed using over 3 decades of data to describe and simulate the dynamics including recruitment, growth and mortality in unlogged stands and others subjected to different silvicultural regimes in uneven-aged mixed-species subtropical rainforests of north-eastern New South Wales. Hierarchical multilevel regression analyses including Poisson, Binomial and multinomial logit regression were used to estimate the rainforest dynamic parameters based on the assumption that trees perform differently in space and time, thus there are variations at both the plot and tree by measurement levels.Variations at the tree level required the botanical identity of trees to species level, and then the species-specific size at maturity and shade tolerance were used to classify species into 5 groups, each consisting of species with similar ecological characteristics. These groups were labelled as emergent and shade tolerant main canopy, shade tolerant mid canopy, shade tolerant understoreys, moderate shade tolerant and persistent, and shade intolerant pioneer tree species. Significant variables at the plot level including site characteristics such as topography (elevation, slope and aspect), and past disturbance were used as explanatory variables in species group models. The final model is as a classical matrix management-oriented model with an ecological touch and maximum size-dependent parameters of ingrowth and outgrowth. The model provides a tool to simulate stand performance after logging and to assess silvicultural prescriptions before they are applied in these types of forests.The simulations indicate that full recovery following a logging intensity where 47% of the overstorey basal area is removed with a checkerboard of logged and unlogged patches (group selection) on a 120-year cycle could enable sustainable timber production without compromising the ecological integrity in these forests. Following single-tree selection (33%), recovery takes about 150 years, and more intensive harvesting practices where 50-78% overstorey basal area is removed may take 180-220 years to recover. Pre-harvest climber cutting coupled with poisoning of non-timber species followed by intensive logging of merchantable trees would allow logging on a 300-year cycle. Shorter logging cycles may lead to changes in the forest structure and floristic composition where the overall species density is low with higher density of shade intolerant species.

State energy plans are created at the request of a sitting governor or State Legislature in order to provide guidance set goals for the state’s energy sector. These plans will be critical indicators of energy trends such as the future market share of coal, natural gas, and renewables. If the future of energy in the United States is to be remotely sustainable, low-carbon policies must headline state plans. The strength of a state’s energy plan in terms of sustainability is directly related to that state’s willingness to prioritize and commit to incorporating energy sources that produce negligible carbon emissions. Questions about the role of efficiency can be answered by the political need for short-run payoffs that do not necessarily align with the long-term goals of sustainability (Kern & Smith, 2008). The nature of the American political system is that representatives want to be able to bring immediate results to their constituents, results that are usually shown in the short-run by efficiency programs. While the state energy plans in question (California, Arizona, Pennsylvania, Iowa, South Carolina, and Virginia) engage with sustainability at varying levels of strength, they deal mostly in weak sustainability by failing to commit to renewables. Historical reliance on energy efficiency and its accompanying theories of growth has created a climate in which state energy plans do not generally realize their enormous potential to lead the national transition away from fossil fuels.

The American marten (Martes americana) is an endangered species in Vermont and a Regional Species of Greatest Conservation Need in the northeastern United States. Though historically widespread in northeastern forests, their range presumably contracted to northern Maine and the High Peaks region of the Adirondacks by the early 1900s. Regionally, populations appear to be in recovery. Natural recolonization is believed to have occurred in New Hampshire, northeastern Vermont and the western Adirondacks. A reintroduction effort in southern Vermont that was originally declared unsuccessful is now believed to be the source of a recently detected population in the area. However, our current knowledge of distribution, population history and population connectivity relies primarily on occurrence data from harvest records, which are limited in scope and resolution. In Vermont, where population size is estimated to be extremely low, more robust estimates of population status may be critical to continued recovery. I genotyped individuals from Maine, New York, New Hampshire, northeastern Vermont and southern Vermont at ten microsatellite loci and amplified a 320 base pair segment of the control region of mtDNA to estimate the source(s) of the two Vermont populations using statistical tests of genetic differentiation. I also used Bayesian and stochastic genetic clustering methods to estimate population genetic structure in the northeastern United States. Genetic structure exists at multiple scales in the region as a result of natural barriers to gene flow, human-mediated gene flow, and lineage sorting in relic populations. My results suggest that New Hampshire is a major source of colonization of northeastern Vermont and the population in southern Vermont is either a remnant of the reintroduction or a pre-reintroduction relic that has experienced introgression from the reintroduction stock. I identified three regions where relic populations perceived to be extirpated in the 1900s may have persisted. I also developed an occupancy model for American marten in the northeastern United States using mixed-effects logistic regression based on expert opinion data. Eighteen experts from Maine, New Hampshire, Vermont and New York with backgrounds in trapping, wildlife management, and wildlife science participated in the survey. Experts were asked to estimate the probability of marten occupancy at 30 sites in the northeastern United States. Three top models described the data. Habitat covariates in those models were 1) percent canopy cover, 2) percent spruce-fir forest cover, 3) winter temperature, 4) elevation, and 5) road density. An AIC-weighted average of these three models had significant predictive ability (area under an ROC curve = 0.88) with respect to occurrence records in the northeastern United States. In addition, the model predicted that high quality habitat existed patchily along the central and northern Green Mountain spine in Vermont – where no occurrence records exist for at least a century. Top-scoring movement corridors between southern Vermont and nearby populations in northeastern Vermont/New Hampshire and New York occurred in the northern and central Green Mountains and across high resistance movement barriers in the Champlain valley. Corridors to New York were considered strong movement barriers and are unlikely to facilitate gene flow.

The ability to accurately assess forest carbon storage is critical to understanding global carbon cycles and the effects of changes in land cover on ecological processes. However, existing methods for calculating carbon storage do not explicitly account for differences in carbon stored by different species of trees. Those methods that do reflect some of this variability, such as remotely-sensing canopy structure to estimate biomass, can be resource-intensive and difficult to reproduce over past or future time steps in order to assess change. I examined the accuracy of several carbon mapping approaches to understand how specificity of forest type classification (for example, classifying forest as "sugar maple/birch" versus simply "deciduous") affects landscape estimates of forest carbon storage in the northeastern United States. I constructed three distinct models to estimate aboveground and coarse roots forest carbon across the study region. These models varied primarily in the specificity of forest type classifications in the input maps and the corresponding carbon storage estimates used for each type. The forest classification schemes tested, from highest to lowest specificity, were: 1) relative basal area by species, 2) species association classes, and 3) coarse forest types (in accordance with IPCC (2006) guidelines). The specificity of forest type classifications in the input maps did influence results, with higher carbon storage estimates generated by models using coarser forest classifications. Maps generated by models that included relative basal area or species association classifications had similar means and standard deviations to the validation plots, as well as the highest correlations with 1000 random points from a remotely-sensed biomass map, suggesting that they better represent variability in carbon storage across the region; however, this variability was largely driven by the incorporation of stand age. Error increased at higher elevations, and decreased with higher total maple-beech-birch components. This likely reflects the dominance of low elevation hardwoods in the studies on which carbon storage estimate tables are based and demonstrates the importance of matching input estimates to region-specific studies. Current estimates of forest carbon storage from the US Forest Service predict 84-90 Mg/ha in this study area, a low value when compared with my modeled estimates of 104 Mg/ha, 108 Mg/ha, and 118 Mg/ha from the relative basal area, species association, and high IPCC models, respectively. If IPCC carbon estimates are to be applied in the northeastern US, the high end of these ranges should be used. Carbon storage estimates that consider different carbon storage capacities of different tree species are useful to explore temporal trends and relative spatial patterns in carbon storage across heterogeneous landscapes, but because of the coarse resolution and low accuracy of existing stand age maps, remotely-sensed biomass maps may be a better approach to quantify carbon stored at specific locations.

Between 1988 and 2014, otter trawls, seine nets, and plankton nets were deployed along the salinity gradients of 18 estuaries by the University of South Florida and the Florida Fish and Wildlife Research Institute (FWRI, a research branch of the Florida Fish and Wildlife Conservation Commission). The purpose of these surveys was to document the responses of aquatic estuarine biota to variation in the quantity and quality of freshwater inflows that were being managed by the Southwest Florida Water Management District (SWFWMD). In the present analyses, four community types collected by these gears were compared with a diversity of habitat factors to identify the factors with the greatest influence on beta diversity, and also to identify the factors that were most influential to important prey species and economically important species. The four community types were (1) plankton-net invertebrates, (2) plankton-net ichthyoplankton, (3) seine nekton, and (4) trawl nekton. The habitat factors were (1) vertical profiles of salinity, dissolved oxygen, pH, and water temperature taken at the time of the biological collections, (2) various characterizations of local habitat associated with seine and trawl deployments, (3) chlorophyll a, color, and turbidity data obtained from the STORET database (US Environmental Protection Agency), and (4) data that characterize the effects of freshwater inflow on different estuarine zones, including factors for freshwater inflow, freshwater turnover time, and temporal instability in freshwater inflow (flashiness). Only 13 of the 18 estuaries had data that were comprehensive enough to allow habitat-factor analysis. An existing study had performed distance-based redundancy analysis (dbRDA) and principle component analysis (PCA) for these data within 78 estuarine survey zones that were composited together (i.e., regardless of estuary of origin). Based on that study’s findings, the communities of primarily spring-fed and primarily surface-fed estuaries were analyzed separately in the present study. Analysis was also performed with the habitat factors grouped into three categories (water management, restoration, and water quality) based on their ability to be directly modified by different management sectors. For an analysis of beta diversity interactions with habitat factors, dbRDA (called distance-based linear modeling (DistLM) in the PRIMER software) was performed using PRIMER 7 software (Quest Research Limited, Auckland, NZ). The dbRDA indicated pH, salinity, and distance to the Gulf of Mexico (distance-to-GOM) usually explained the most variation in the biotic data. These results were compared with partial dbRDA using the Akaike Information Criterion (AIC) as the model selection criterion with distance-to-GOM held as a covariate to reduce the effect of differences in the connectivity of marine-derived organisms to the different estuaries; distance-to-GOM explained between 8.46% and 32.4% of the variation in beta diversity. Even with the variation from distance-to-GOM removed, salinity was still selected as most influential factor, explaining up to an additional 23.7% of the variation in beta diversity. Factors associated with the water-management sector were most influential (primarily salinity), followed by factors associated with the restoration sector (primarily factors that describe shoreline type and bottom type). For the analysis of individual species, canonical analysis of principal coordinates (CAP) was performed to test for significant difference in community structure between groups of sites that represented high and low levels of each factor. For those communities that were significantly different, an indicator value (IndVal) was calculated for each species for high and low levels of each factor. Among species with significant IndVal for high or low levels of at least one factor, emphasis was given to important prey species (polychaetes, copepods, mysids, shrimps, bay anchovy juveniles, and gammaridean amphipods) and to species of economic importance, including adults, larvae and juveniles of commercial and recreational fishes, pink shrimp, and blue crab. Shrimps, copepods and mysids were all associated with estuarine zones that had low percentages of wooded or lawn-type shoreline, a factor that may serve as a proxy for flood conditions, as lawns or trees were usually only sampled with seines at high water elevations and in the freshwater reaches of the estuaries. Many copepod and shrimp species were strongly associated with high flushing times, which suggests that if flushing times were too short in an estuarine zone, then these species or their prey would be flushed out. Multiple regression analysis was performed on each of the selected indicator species, using AIC as a selection criterion and distance-to-GOM as a covariate. As might be expected, the apparent influences of different habitat factors varied from species to species, but there were some general patterns. For prey species in both spring-fed and surface-fed estuaries, pH and flushing time explained a significant amount of variation. In surface-fed estuaries, the presence of oysters on the bottom also had a positive effect for many prey species. For economically important species, depth was important in both spring-fed and surface-fed estuaries. This suggested the importance of maintaining large, shallow areas, particularly in surface-fed estuaries. Another important factor in spring-fed estuaries was the percent coverage of the bottom with sand; however, a mixture of positive and negative coefficients on this factor suggested the importance of substrate variety. In surface-fed estuaries, flashiness also often explained substantial variation for many economically important species, usually with positive coefficients, possibly due to the importance of alternation between nutrient-loading and high-primary-productivity periods. When comparing the three management sectors, the restoration sector was the most explanatory. Several factors were averaged over entire estuaries due to data scarcity or due to the nature of the factors themselves. Specifically, the STORET data for chlorophyll, color, and turbidity was inconsistently distributed with in the survey areas and was not collected at the same time as the biological samples. Moreover, certain water-management factors such as freshwater-inflow rate and flashiness are inherently less dimensional than other factors, and could only be represented by a single observation (i.e., no spatial variation) at any point in time. Due to concern that reduced spatiotemporal concurrence/dimensionality was masking the influence of habitat factors, the community analysis was repeated after representing each estuary with a single value for each habitat factor. We found that far fewer factors were selected in this analysis; salinity was only factor selected from the water-management factors. Overall, the factor that explained the most variation most often was the presence of emergent vegetation on the shoreline. This factor is a good proxy for urban development (more developed areas have lower levels of emergent vegetation on the shoreline). Unlike the previous analysis, the restoration sector overwhelmingly had the highest R2 values compared with other management sectors. In general, these results indicate the seeming importance of salinity in the previous analysis was likely because it had a higher resolution compared with many other factors, and that the lack of resolution homogeneity did influence the results. Of the habitat factors determined to be most influential with the analysis of communities and individual species (salinity, pH, emergent vegetation and lawn-and-trees shoreline types, oyster and sand bottom types, depth, flashiness, and flushing time) most were part of an estuarine gradient with high values at one end of the estuary with a gradual shift to low values at the other end. Since many of the analyzed species also showed a gradient distribution across the estuary, the abundance and community patterns could be explained by any of the habitat factors with that same gradient pattern. Therefore, there is a certain limitation to determining which factors are most influential in estuaries using this type of regression-based analysis. Three selected factors that do not have a strong estuarine gradient pattern are the sand bottom type, depth, and flashiness. In particular, flashiness has a single value for each estuary so it is incapable of following the estuarine gradient. This suggests that flashiness has an important process-based role that merits further investigation of its effect on estuarine species.

Throughout this thesis I have laid out several factors that have contributed to the sustainability of shrimp farming in Thailand, and if sustainability whilst maintaining production can ever be achieved. To find out the current situation of shrimp farming in Thailand, the history of global and Thai shrimp farming is described. The social and environmental problems of the unsustainable history of shrimp farming in Thailand is then considered. Solutions to these effects conclude that it is up to the consumer to demand for better regulations from the government and the shrimp companies to ensure a sustainable future for shrimp farming both globally and in Thailand.

No description available.

Meadows are crucial components to larger river watersheds because of their unique hydrologic and ecological functions. Due to climate change, over grazing, and fire suppression, conifer encroachment into meadows has accelerated. In some western regions, nearly half of all meadow habitat has been loss due to conifer encroachment. Restoration of these hydrologic systems requires tree removal. Many studies exist that address the issue of conifer encroachment in montane meadows, however, few studies focus on the role that conifer removal plays on the encroaching meadow. Furthermore, few studies exist that document the hydrologic change from conifer removal and further restoration steps, if any, to take after the removal. The overall research goal is to understand the efficacy of removal of encroached conifers from an encroached meadow (Marian Meadow) for successful meadow restoration. The objectives of this study are to determine (i) quantify the meadow hydrology following removal of encroached conifers, (ii) determine if forest tree removal adjacent to the meadow influences the meadow’s hydrology, and (iii) test three common revegetation techniques for a formerly encroached montane meadow.. Marian Meadow is in Plumas County, CA at an elevation of 4,900 feet. This 45-acre meadow enhancement project is part of a 2,046-acre timber harvest plan implemented by the Collins Pine Company. Soil moisture sensors at one foot below the ground and water table depth sensors at four feet below ground were installed in Marian Meadow and a control meadow in September 2013, with additional soil moisture sensors at three-foot depth installed August 2015. The removal of encroaching conifers from Marian Meadow occurred in June 2015. Electrical Resistivity Tomography (ERT) was used to determine maximum water table depths and climatic variables were measured from a weather station as inputs for the water budget. A groundwater recession curve equation was used to model water table depths between water table depth sensor measurements and ERT measurements. A general linear model was used to determine any statistical significant difference in soil moisture and water table depths prior to and after conifer removal. Revegetation plots were installed at the start of the 2017 growing season to determine the establishment rate for three different techniques (BARE, WOOD, and EXISTING) and three different species of meadow plant. Technique BARE, which removes approximately 10 cm of top soil and disperses seed was statistically significant, yielding the highest population count. Another growing season data collection and control plot is required to draw further conclusions and recommendations. The water balance indicated that the majority of Marian Meadow and the Control Meadow’s water storage can be attributed to precipitation and not upland sources. This hydrologic characteristic is common in dry meadows. The statistical analysis indicated that measured water table depths increased on average by 0.62 feet following conifer removal. The first year following restoration and the second year following restoration yielded statistically significantly different water levels than pre-restoration water levels. The third year following restoration is inconclusive until the end of the 2018 WY data set is available. On average, soil moisture increased by 6.43% following conifer removal and was statistically significantly different in all three post restoration years when compared to pre-restoration volumetric soil moisture content. Additionally, growing season (April through September) water table depths indicated that meadow vegetation communities could be supported in Marian Meadow following conifer removal. The removal of conifers from an encroached meadow appears to promote soil moisture and water table depth conditions indicative of a meadow and meadow plant community types.

Geographic Information System (GIS) is “an organized collection of computer hardware, software, geographic data, and personnel designed to efficiently capture, store, update, manipulate, analyze, and display all forms of geographically referenced information” (ESRI, 1997a). The Natural Resources Management Department at California Polytechnic State University, San Luis Obispo, California, hereafter NRM, was one of the early users of GIS technology. Although GIS was primarily used as an educational tool, it was also used for cataloging and displaying resource information for management planning and research projects. As the computing technology advanced, GIS became more powerful and easier to use. NRM faculty and students realized that GIS is the best tool to manage spatial information. In addition, GIS can also manage temporal data. While we are proud of past achievements using GIS, its future prospects for managing time and space information promise even more exciting possibilities and tangible benefits. This scholarly project is a compilation of GIS achievements in NRM.

Despite the increased frequency of natural and man-made disasters, there is a problem in the level of preparedness of emergency managers, responders, and citizens to address them. The purpose of this grounded theory study was to explore the factors that affect these groups' preparedness to inform the development of better emergency plans to handle emergency incidences. The conceptual framework for the study was knowledge management, which was used with a grounded theory approach. The study was guided by primary research questions that focused on understanding psychological, material, temporal, organizational, and other factors that affect the preparedness of emergency managers, first responders, and citizens, and on identifying measures for improving those levels of preparedness. Interview data were collected from a purposeful sample of emergency managers (n = 11), first responders (n = 26), and citizens (n = 26) from South Carolina who had experienced disasters. Secondary data from 6 disasters, 3 emergency operations plans, and 2 standard operating procedure guides were also collected. The constant comparative method was used to analyze data, informing the development of a theory that suggests emergency managers, first responders, and citizens must act collaboratively to prepare for and respond more effectively to disasters, in addition to their independent work. This study promotes positive social change by providing emergency management agencies with information necessary for developing better emergency preparedness plans, thus reducing the personal and economic impact of future disasters.