Socioeconomic and Environmental Predictors of Estuarine Shoreline Hard Armoring

2019 ◽  
Author(s):  
Nicole Peterson ◽  
Craig Landry ◽  
Clark Alexander ◽  
Brian Bledsoe
Keyword(s):  
Environmental Predictors ◽  
Estuarine Shoreline

scholarly journals Socioeconomic and environmental predictors of estuarine shoreline hard armoring

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Nicole E. Peterson ◽  
Craig E. Landry ◽  
Clark R. Alexander ◽  
Kevin Samples ◽  
Brian P. Bledsoe
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Economic Consequences ◽  
Coastal Hazards ◽  
Environmental Predictors ◽  
Sea Levels ◽  
Shoreline Armoring ◽  
Rising Sea Levels ◽  
Estuarine Shoreline ◽  
The Individual

Abstract Rising sea levels and growing coastal populations are intensifying interactions at the land-sea interface. To stabilize upland and protect human developments from coastal hazards, landowners commonly emplace hard armoring structures, such as bulkheads and revetments, along estuarine shorelines. The ecological and economic consequences of shoreline armoring have garnered significant attention; however, few studies have examined the extent of hard armoring or identified drivers of hard armoring patterns at the individual landowner level across large geographical areas. This study addresses this knowledge gap by using a fine-scale census of hard armoring along the entire Georgia U.S. estuarine coastline. We develop a parsimonious statistical model that accurately predicts the probability of armoring emplacement at the parcel level based on a set of environmental and socioeconomic variables. Several interacting influences contribute to patterns of shoreline armoring; in particular, shoreline slope and the presence of armoring on a neighboring parcel are strong predictors of armoring. The model also suggests that continued sea level rise and coastal population growth could trigger future increases in armoring, emphasizing the importance of considering dynamic patterns of armoring when evaluating the potential effects of sea level rise. For example, evolving distributions of armoring should be considered in predictions of future salt marsh migration. The modeling approach developed in this study is adaptable to assessing patterns of hard armoring in other regions. With improved understanding of hard armoring distributions, sea level rise response plans can be fully informed to design more efficient scenarios for both urban development and coastal ecosystems.

scholarly journals Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks

2021 ◽  
Vol 7 (9) ◽  
pp. eaaz5236 ◽  
Author(s):  
Umakant Mishra ◽  
Gustaf Hugelius ◽  
Eitan Shelef ◽  
Yuanhe Yang ◽  
Jens Strauss ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Heterogeneity ◽  
Surface Air Temperature ◽  
Spatially Explicit ◽  
Soil Profiles ◽  
Permafrost Region ◽  
Environmental Predictors ◽  
Soil Organic Carbon Stocks ◽  
Soc Stocks

Large stocks of soil organic carbon (SOC) have accumulated in the Northern Hemisphere permafrost region, but their current amounts and future fate remain uncertain. By analyzing dataset combining >2700 soil profiles with environmental variables in a geospatial framework, we generated spatially explicit estimates of permafrost-region SOC stocks, quantified spatial heterogeneity, and identified key environmental predictors. We estimated that 1014−175+194 Pg C are stored in the top 3 m of permafrost region soils. The greatest uncertainties occurred in circumpolar toe-slope positions and in flat areas of the Tibetan region. We found that soil wetness index and elevation are the dominant topographic controllers and surface air temperature (circumpolar region) and precipitation (Tibetan region) are significant climatic controllers of SOC stocks. Our results provide first high-resolution geospatial assessment of permafrost region SOC stocks and their relationships with environmental factors, which are crucial for modeling the response of permafrost affected soils to changing climate.

scholarly journals The Modeling and Forecasting of Carabid Beetle Distribution in Northwestern China

Insects ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 168
Author(s):  
Xueqin Liu ◽  
Hui Wang ◽  
Dahan He ◽  
Xinpu Wang ◽  
Ming Bai
Keyword(s):  
Generalized Additive Models ◽  
Additive Models ◽  
Carabid Beetle ◽  
Conservation Strategies ◽  
Environmental Predictors ◽  
Temperate Steppe ◽  
Temperature And Precipitation ◽  
Steppe Ecosystems ◽  
Modeling And Forecasting ◽  
Richness Patterns

Beetles are key insect species in global biodiversity and play a significant role in steppe ecosystems. In the temperate steppe of China, the increasing degeneration of the grasslands threatens beetle species and their habitat. Using Generalized Additive Models (GAMs), we aimed to predict and map beetle richness patterns within the temperate steppe of Ningxia (China). We tested 19 environmental predictors including climate, topography, soil moisture and space as well as vegetation. Climatic variables (temperature, precipitation, soil temperature) consistently appeared among the most important predictors for beetle groups modeled. GAM generated predictive cartography for the study area. Our models explained a significant percentage of the variation in carabid beetle richness (79.8%), carabid beetle richness distribution seems to be mainly influenced by temperature and precipitation. The results have important implications for management and conservation strategies and also provides evidence for assessing and making predictions of beetle diversity across the steppe.

Parent and Child Depression: Moderated Mediation by Gender and Harsh Parenting in Emerging Adults

2018 ◽  
Vol 40 (5) ◽  
pp. 594-612 ◽  
Author(s):  
Cliff McKinney ◽  
Erica Szkody
Keyword(s):  
Emerging Adults ◽  
Indirect Effects ◽  
Parental Depression ◽  
Moderated Mediation ◽  
Psychological Problems ◽  
Harsh Parenting ◽  
Environmental Predictors ◽  
Child Gender ◽  
Gender Dyads ◽  
Internalizing And Externalizing

Parental depression has been associated with psychological problems in offspring. It was hypothesized that harsh parenting would mediate this relationship and that gender differences would suggest moderated mediation. Emerging adults ( N = 490) reported on their current perceptions of parental depression, harsh parenting, and their own psychological problems. The indirect effects of parental depression on emerging adult psychological problems in the context of parent–child gender dyads were examined. All variables shared positive free correlations across gender, whereas direct and indirect effects were influenced heavily by gender. Parental depression was directly related to male and female depression, and harsh parenting was only directly and indirectly related to female depression. Further research should focus on the complexity of harsh parenting and environmental predictors on child psychological problems. Addressing parental depression may indirectly and directly improve children’s internalizing and externalizing problems.

scholarly journals Cats in the forest: predicting habitat adaptations from humerus morphometry in extant and fossil Felidae (Carnivora)

Paleobiology ◽  
10.1666/12001 ◽  
2013 ◽  
Vol 39 (3) ◽  
pp. 323-344 ◽  
Author(s):  
Carlo Meloro ◽  
Sarah Elton ◽  
Julien Louys ◽  
Laura C. Bishop ◽  
Peter Ditchfield
Keyword(s):  
Morphological Variability ◽  
Olduvai Gorge ◽  
Environmental Predictors ◽  
Linear Measurements ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Related Group ◽  
Discriminant Analyses ◽  
The Stability ◽  
The Relationship

Mammalian carnivores are rarely incorporated in paleoenvironmental reconstructions, largely because of their rarity within the fossil record. However, multivariate statistical modeling can be successfully used to quantify specific anatomical features as environmental predictors. Here we explore morphological variability of the humerus in a closely related group of predators (Felidae) to investigate the relationship between morphometric descriptors and habitat categories. We analyze linear measurements of the humerus in three different morphometric combinations (log-transformed, size-free, and ratio), and explore four distinct ways of categorizing habitat adaptations. Open, Mixed, and Closed categories are defined according to criteria based on traditional descriptions of species, distributions, and biome occupancy. Extensive exploratory work is presented using linear discriminant analyses and several fossils are included to provide paleoecological reconstructions.We found no significant differences in the predictive power of distinct morphometric descriptors or habitat criteria, although sample splitting into small and large cat guilds greatly improves the stability of the models. Significant insights emerge for three long-canine cats:Smilodon populator,Paramachairodus orientalis, andDinofelissp. from Olduvai Gorge (East Africa).S. populatorandP. orientalisare both predicted to have been closed-habitat adapted taxa. The false “sabertooth”Dinofelissp. from Olduvai Gorge is predicted to be adapted to mixed habitat. The application of felid humerus ecomorphology to the carnivoran record of Olduvai Gorge shows that the older stratigraphic levels (Bed I, 1.99–1.79 Ma) included a broader range of environments than Beds II or V, where there is an abundance of cats adapted to open environments.

scholarly journals Environmental Predictors of Human West Nile Virus Infections, Colorado

2007 ◽  
Vol 13 (11) ◽  
pp. 1788-1790 ◽  
Author(s):  
Jennifer L. Patnaik ◽  
Lara Juliusson ◽  
Richard L. Vogt
Keyword(s):  
West Nile Virus ◽  
Virus Infections ◽  
Environmental Predictors ◽  
West Nile ◽  
Human West Nile Virus

scholarly journals The validity of Performance Environment Perception Scales: Environmental predictors of citizenship performance

2010 ◽  
Vol 16 (1) ◽  
pp. 180-190
Author(s):  
Arthur E. Poropat
Keyword(s):  
Work Environment ◽  
Organizational Development ◽  
Future Research ◽  
Environmental Predictors ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Theoretical Predictions ◽  
Citizenship Performance ◽  
Environment Perception ◽  
And Performance

AbstractThis research examined the validity of Performance Environment Perception Scales (PEPS), a new instrument designed to assess performance-relevant aspects of the work environment. A sample of 156 employees of an Australian university completed PEPS and their supervisors rated their task and citizenship performance. Confirmatory Factor Analysis showed PEPS to have a valid factor structure, and PEPS were found to be significantly correlated with citizenship performance, but not with task performance. Although this finding is consistent with theoretical predictions, PEPS are apparently the first measures of work environment perceptions that have confirmed this. Thus PEPS show promise as measures for use in future research and organizational development projects that focus on relationships between the work environment and performance. Limitations of the research and implications for the validity of PEPS, as well as for future research and practice, are discussed.

scholarly journals Suitable habitats of fish species in the Barents Sea

2020 ◽  
Author(s):  
Bérengère Husson ◽  
Gregoire Certain ◽  
Anatoly Filin ◽  
Benjamin Planque
Keyword(s):  
Fish Species ◽  
Barents Sea ◽  
The Arctic ◽  
Environmental Drivers ◽  
Environmental Predictors ◽  
Widespread Species ◽  
Species Response ◽  
Upper Limit ◽  
The Barents Sea ◽  
Suitable Habitats

AbstractMany marine species are shifting their distribution poleward in response to climate change. The Barents Sea, as a doorstep to the fast-warming Arctic, is experiencing large scale changes in its environment and its communities. This paper aims at understanding what environmental predictors limit fish species habitats in the Barents Sea and discuss their possible evolution in response to the warming of the Arctic.Species distribution models usually aim at predicting the probability of presence or the average abundance of a species, conditional on environmental drivers. A complementary approach is to determine suitable habitats by modelling the upper limit of a species’ response to environmental factors. Using quantile regressions, we model the upper limit of biomass for 33 fish species in the Barents Sea in response to 10 environmental predictors. Boreal species are mainly limited by temperatures and most of them are expected to be able to expand their distribution in the Barents Sea when new thermally suitable habitats become available, in the limit of bathymetric constraints. Artic species are often limited by several predictors, mainly depth, bottom and surface temperature and ice cover, and future habitats are hard to predict qualitatively. Widespread species like the Atlantic cod are not strongly limited by the selected variables at the scale of the study, and current and future suitable habitats are harder to predict. These models can be used as input to integrative tools like end-to-end models on the habitat preference and tolerance at the species scale to inform resource management and conservation.

scholarly journals Local Environmental Predictors of Cholera in Bangladesh and Vietnam

2008 ◽  
Vol 78 (5) ◽  
pp. 823-832 ◽  
Author(s):  
Michael Emch ◽  
Mohammad Yunus ◽  
Vu DinhThiem ◽  
Caryl Feldacker ◽  
Mohammad Ali ◽  
...  
Keyword(s):  
Environmental Predictors
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