Hydrology, geomorphology and vegetation of Coastal Plain rivers in the south-eastern USA

Hupp, Cliff R.

doi:10.1002/1099-1085(200011/12)14:16/17<2991::aid-hyp131>3.0.co;2-h

Cited by 233 publications

(233 citation statements)

References 39 publications

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“…scale by channel-floodplain geomorphology, which promotes spatial variability on sedimentation load and patterns for a given river section during a specific flood event (Hupp, 2000;Noe and Hupp, 2005;Piégay et al, 2008). At this scale, previous studies have indicated that distance from the main channel exerts more influence on spatial variability of overbank sedimentation than downstream variation (Walling and He, 1998;Middelkoop and Asselman, 1998;Thonon et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models

Cabezas

Angulo‐Martínez

González-Sanchis

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Sediment, Total Organic Carbon (TOC) and total nitrogen (TN) accumulation during one overbank flood (1.15 y return interval) were examined at one reach of the Middle Ebro River (NE Spain) for elucidating spatial patterns. To achieve this goal, four areas with different geomorphological features and located within the study reach were examined by using artificial grass mats. Within each area, 1 m 2 study plots consisting of three pseudo-replicates were placed in a semi-regular grid oriented perpendicular to the main channel. TOC, TN and Particle-Size composition of deposited sediments were examined and accumulation rates estimated. Generalized linear mixed-effects models were used to analyze sedimentation patterns in order to handle clustered sampling units, specific-site effects and spatial self-correlation between observations. Our results confirm the importance of channel-floodplain morphology and site micro-topography in explaining sediment, TOC and TN deposition patterns, although the importance of other factors as vegetation pattern should be included in further studies to explain small-scale variability. Generalized linear mixedeffect models provide a good framework to deal with the high spatial heterogeneity of this phenomenon at different spatial scales, and should be further investigated in order to explore its validity when examining the importance of factors such as flood magnitude or suspended sediment concentration.

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Section: Introductionmentioning

confidence: 99%

Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models

Cabezas

Angulo‐Martínez

González-Sanchis

et al. 2010

Hydrol. Earth Syst. Sci.

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“…The northern portion of the region is dominated by longleaf pine (Pinus palustris) and loblolly pine (Pinus taeda). The SAMBI is bounded on its western edge at the Fall Line where alluvial and marine sediments meet the exposed continental bedrock of the Piedmont region (Hupp 2000) and on the eastern edge by the Atlantic Ocean. The southern SAMBI is in a transitional zone of northeastern Florida where tropical mangroves meet coastal plain plant communities; this region is dominated by pond pine (Pinus serotina) and Atlantic white cedar (Chamaecyparis thyoides; Watson and McWilliams 2005).…”

Section: Study Areamentioning

confidence: 99%

Use of Occupancy Models to Evaluate Expert Knowledge-based Species-Habitat Relationships

Iglecia¹,

Collazo²,

McKerrow³

2012

ACE

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. 2012. Use of occupancy models to evaluate expert knowledge-based species-habitat relationships. Avian Conservation and Ecology 7(2): 5. http://dx.doi. org/10.5751/ACE-00551-070205 ABSTRACT. Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Plain of the United States. Experts used published studies, natural history, survey data, and field experience to rank vegetation types as optimal, suitable, and marginal. We used single-season occupancy models, coupled with land cover and Breeding Bird Survey data, to examine the hypothesis that patterns of occupancy conformed to species-habitat suitability rankings purported by experts. Purported habitat suitability was validated for two of three species. Research Papers Use of Occupancy Models to Evaluate ExpertAs predicted for the Eastern Wood-Pewee (Contopus virens) and Brown-headed Nuthatch (Sitta pusilla), occupancy was strongly influenced by vegetation types classified as "optimal habitat" by the species suitability rankings for nuthatches and wood-pewees. Contrary to predictions, Red-headed Woodpecker (Melanerpes erythrocephalus) models that included vegetation types as covariates received similar support by the data as models without vegetation types. For all three species, occupancy was also related to sampling latitude. Our results suggest that covariates representing other habitat requirements might be necessary to model occurrence of generalist species like the woodpecker. The modeling approach described herein provides a means to test expert knowledge-based species-habitat relationships, and hence, help guide conservation planning.RÉSUMÉ. Les relations espèces-habitat établies à partir des connaissances d'experts sont largement utilisées pour orienter la planification de la conservation, surtout lorsque les données sont rares. Ces relations présumées représentent les rudiments de la connaissance, mais sont rarement testées. L'adéquation du classement de milieux établi par des experts a été évaluée pour trois espèces de passereaux de la Plaine côtière de l'Atlantique Sud, aux États-Unis. Les experts ont utilisé des données publiées (recherches, histoire naturelle, relevés) et leur expérience sur le terrain afin de classer les milieux selon trois catégories, soit optimaux, adéquats ou marginaux. Nous avons appliqué des modèles de présence, fondés sur une seule saison, à des données d'occupation du sol et de relevés d'oiseaux nicheurs afin d'examiner l'hypothèse voulant que les profils de présence concordent avec le classement de la qualité des milieux présumé par les experts. La qualité présumée des milieux a été validée pour deux des trois espèces. Comme prédit pour le Pioui de l'Est (Contopus virens) et la Sittelle à t...

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“…The Coastal Plain physiographic region of the southeast USA (Fenneman, 1928(Fenneman, , 1938Vigil, 2000) covers more than 1 million km 2 , greater than the combined area of France, Germany, and the UK (Hupp, 2000). The Coastal Plain extends from New Jersey to eastern Texas and is primarily the result of alluvial (from adjacent mountain and Piedmont regions) and marine deposits of Late Cretaceous and Holocene age (Fenneman, 1928(Fenneman, , 1938Hupp, 2000;Vigil, 2000).…”

Section: Coastal Plain Geology and Hydrologic Implicationsmentioning

confidence: 99%

Hydrology and Methylmercury Availability in Coastal Plain Streams

Bradley¹,

Journey²

2012

Water Resources Management and Modeling

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Hydrology, geomorphology and vegetation of Coastal Plain rivers in the south-eastern USA

Cited by 233 publications

References 39 publications

Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models

Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models

Use of Occupancy Models to Evaluate Expert Knowledge-based Species-Habitat Relationships

Hydrology and Methylmercury Availability in Coastal Plain Streams

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