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| Registros recuperados: 14 | |
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| Vo, M.; South Carolina Department of Natural Resources; vomw@chastn86.dhec.state.sc.us; Porter, D.E.; University of South Carolina; porter@sc.edu; Chandler, G.T.; University of South Carolina; tchandler@sph..sc.edu; Kelsey, H.; University of South Carolina; heath@inlet.geol.sc.edu; Walker, S.P.; University of South Carolina; sam@inlet.geol.sc.edu; Jones, B. E.; University of South Carolina; elrojo@mindspring.com. |
| Increases in contaminants associated with urban sprawl are a particular concern in the rapidly developing coastal areas of the southeastern United States. Polycyclic aromatic hydrocarbons (PAHs) are contaminants associated with vehicle emissions and runoff from impervious surfaces. Increased vehicular traffic and more impervious surfaces lead to an increased loading of PAHs into coastal estuarine systems. The phototoxic effect of PAH-contaminated sediments on a sediment-dwelling meiobenthic copepod, Amphiascus tenuiremis, was estimated in Murrells Inlet, a small, high-salinity estuary with moderate urbanization located in Georgetown and Horry Counties, South Carolina, USA. Field-determined solar ultraviolet radiation (UV) and UV extinction coefficients... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Hazard modeling; Photoinduced toxicity; Polycyclic aromatic hydrocarbons; Spatial modeling; Urbanized estuary. |
| Ano: 2004 |
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| Sandin, Leonard; Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment; leonard.sandin@slu.se; Allen, Craig R; University of Nebraska; allencr@unl.edu; Angeler, David G; Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment; david.angeler@slu.se. |
| The distribution of functional traits within and across spatiotemporal scales has been used to quantify and infer the relative resilience across ecosystems. We use explicit spatial modeling to evaluate within- and cross-scale redundancy in headwater streams, an ecosystem type with a hierarchical and dendritic network structure. We assessed the cross-scale distribution of functional feeding groups of benthic invertebrates in Swedish headwater streams during two seasons. We evaluated functional metrics, i.e., Shannon diversity, richness, and evenness, and the degree of redundancy within and across modeled spatial scales for individual feeding groups. We also estimated the correlates of environmental versus spatial factors of both functional composition and... |
| Tipo: Peer-Reviewed Insight |
Palavras-chave: Biodiversity; Cross-scale resilience; Functional feeding groups; Invertebrates; Local and regional determinants; River ecosystems; Spatial modeling. |
| Ano: 2014 |
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| Sinclair, Steve J; Arthur Rylah Institute, Department of Sustainability and Environment; steve.sinclair@dse.vic.gov.au; White, Matthew D; Arthur Rylah Institute, Department of Sustainability and Environment; Matt.White@dse.vic.gov.au; Newell, Graeme R; Arthur Rylah Institute, Department of Sustainability and Environment; Graeme.Newell@dse.vic.gov.au. |
| Climate change presents unprecedented challenges for biological conservation. Agencies are increasingly looking to modeled projections of species’ distributions under future climates to inform management strategies. As government scientists with a responsibility to communicate the best available science to our policy colleagues, we question whether current modeling approaches and outputs are practically useful. Here, we synthesize conceptual problems with species distribution models (SDMs) associated with interspecific interactions, dispersal, ecological equilibria and time lags, evolution, and the sampling of niche space. Although projected SDMs have undoubtedly been critical in alerting us to the magnitude of climate change impacts, we conclude... |
| Tipo: Peer-Reviewed Synthesis |
Palavras-chave: Climate policy; Climatic envelope; Decision support; Distribution modeling; Niche; Spatial modeling; Species interaction.. |
| Ano: 2010 |
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| Shamoun-Baranes, Judy; Universiteit van Amsterdam; shamoun@uva.nl; Bouten, Willem; Universiteit van Amsterdam; w.bouten@uva.nl; Buurma, Luit; Bird Strike Fund; LuitBuurma@worldmail.nl; DeFusco, Russell; BASH Inc.; BirdManRuss@aol.com; Dekker, Arie; Royal Netherlands Air Force; a.dekker@mindef.nl; Sierdsema, Henk; SOVON, Dutch Centre for Field Ornithology; Henk.Sierdsema@sovon.nl; Sluiter, Floris; Universiteit van Amsterdam; fsluiter@science.uva.nl; van Belle, Jelmer; Royal Netherlands Air Force; jelmer.van.belle@hetnet.nl; van Gasteren, Hans; Royal Netherlands Air Force; JR.v.Gasteren@mindef.nl; van Loon, Emiel; Universiteit van Amsterdam; vanloon@uva.nl. |
| Collisions between aircraft and birds, so-called “bird strikes,” can result in serious damage to aircraft and even in the loss of lives. Information about the distribution of birds in the air and on the ground can be used to reduce the risk of bird strikes and their impact on operations en route and in and around air fields. Although a wealth of bird distribution and density data is collected by numerous organizations, these data are not readily available nor interpretable by aviation. This paper presents two national efforts, one in the Netherlands and one in the United States, to develop bird avoidance nodels for aviation. These models integrate data and expert knowledge on bird distributions and migratory behavior to provide hazard... |
| Tipo: Peer-Reviewed Insight |
Palavras-chave: Birds; Distribution; Flight safety; Migration; Spatial modeling; Web services.. |
| Ano: 2008 |
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| Mueller, Daniel. |
| Realizing the importance of location, economists are increasingly adopting spatial analytical and spatial econometric perspectives to study questions such as the geographical targeting of policy interventions, regional agglomeration effects, the diffusion of technologies across space, or causes and consequences of land-cover change. Explicitly accounting for location in econometric estimations can be of great benefit for researchers working at the interface of economics or environmental sciences and geography. The objective of this article is to demonstrate how spatially explicit raster data derived from standard geographical information system (GIS) software can be used within Stata. Three programs implemented as ado-files are presented. These import... |
| Tipo: Journal Article |
Palavras-chave: Ras2dta; Spatsam; Dta2ras; Geographical information systems (GIS); Raster data; Spatial modeling; Spatial econometrics; Research Methods/ Statistical Methods. |
| Ano: 2005 |
URL: http://purl.umn.edu/117514 |
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| Newburn, David A.; Berck, Peter. |
| This study examines the effectiveness of growth management policies on influencing future patterns of exurban and suburban development. We initially estimate a spatially explicit model of residential development with parcel data in Sonoma County, California. This estimated model is then used to simulate the effect of urban growth boundaries (UGBs) versus allowing municipal sewer service expansion. The UGB policy decreases the amount of suburban development but is less effective in managing exurban development. The downzoning policy in agricultural and resource areas reduces the amount of exurban development, but only partially due to the prevalence of grandfathered lots in rural areas. |
| Tipo: Article |
Palavras-chave: Exurban development; Urban growth boundaries; Sprawl; Spatial modeling; Urban fringe; Land Economics/Use. |
| Ano: 2011 |
URL: http://purl.umn.edu/120269 |
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| Sanchirico, James N.; Wilen, James E.. |
| We present a bioeconomic model of a harvesting industry operating over a heterogeneous environment comprised of discrete biological populations interconnected by dispersal processes. The model generalizes the H. S. Gordon [1954]/V. Smith [1968] model of open-access rent dissipation by accounting for intertemporal and spatial "Ricardian" patterns of exploitation. This model yields a simple, but insightful, framework from which one can investigate factors that contribute to the evolution of resource exploitation patterns over space and time. For example, we find that exploitation patterns are driven by biological and fleet dispersal and biological and economic heterogeneity. We conclude that one cannot really understand the biological processes operating in... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Renewable resources; Bioeconomics; Spatial modeling; Metapopulation; Environmental Economics and Policy; Q22; R19. |
| Ano: 2000 |
URL: http://purl.umn.edu/10513 |
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| Registros recuperados: 14 | |
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