Nekton Use of Submerged Aquatic Vegetation, Marsh, and Shallow Unvegetated Bottom in the Atchafalaya River Delta, a Louisiana Tidal Freshwater Ecosystem

Estuaries ◽  
2001 ◽  
Vol 24 (2) ◽  
pp. 184 ◽  
Author(s):  
David L. Castellanos ◽  
Lawrence P. Rozas
Keyword(s):  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
River Delta ◽  
Tidal Freshwater ◽  
Freshwater Ecosystem ◽  
Atchafalaya River

Multi-Scale Controls on Water Quality Effects of Submerged Aquatic Vegetation in the Tidal Freshwater Hudson River

Ecosystems ◽  
2006 ◽  
Vol 9 (1) ◽  
pp. 84-96 ◽  
Author(s):  
Stuart E. G. Findlay ◽  
William C. Nieder ◽  
Elizabeth A. Blair ◽  
David T. Fischer
Keyword(s):  
Water Quality ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Hudson River ◽  
Tidal Freshwater ◽  
Multi Scale

A Geospatial Approach for Estimating Suitable Habitat and Population Size of the Invasive Northern Snakehead

2015 ◽  
Vol 6 (1) ◽  
pp. 145-157 ◽  
Author(s):  
Joseph W. Love ◽  
Joshua J. Newhard ◽  
Brett Greenfield
Keyword(s):  
Chesapeake Bay ◽  
Population Size ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Adult Population ◽  
Tidal Freshwater ◽  
Predatory Fish ◽  
Suitable Habitat ◽  
Potomac River ◽  
Chesapeake Bay Watershed

Abstract Northern snakehead Channa argus, an invasive predatory fish species from Asia, may continue to establish itself throughout temperate areas of the eastern United States, particularly in shallow vegetated habitats of ponds and streams. The species was first collected in the Potomac River in 2004 and has become successfully established in several major rivers within the Chesapeake Bay watershed. The objectives of this work were to develop habitat suitability criteria using a novel methodology that combines geographic information systems technology and fish surveys to estimate population sizes. A combination of catch data and reported or empirically derived habitat relationships were used to analyze seasonal distributions (March–October) in two tidal freshwater tributaries of the Potomac River: Nanjemoy Creek (2013) and Chopawamsic Creek (2010–2013). Adults were collected in relatively deeper sections of the streams (average depth 0.7–1.0 m) with a low cover of submerged aquatic vegetation (0–21% of site). Using additional distributional data, we identified suitability criteria as: 1) edges of submerged aquatic vegetation that included 5 m of vegetation and 5 m of adjacent open water; 2) less than 30% of mid-channel distance from shore, which may or may not include submerged aquatic vegetation; and 3) the upper 15% of the tidal freshwater stream. An adult population estimate derived from a suitable area in Pomonkey Creek (a tributary of the Potomac River) and estimated densities from Nanjemoy Creek and Chopawamsic Creek (i.e., three adults/ha) was not different from that expected using electrofishing surveys. Assuming approximately 7,093 ha of suitable habitat and three adults/ha, the number of adults was predicted to be 21,279 for 44 major tidal freshwater tributaries of the Potomac River. This is our first estimate of population size of northern snakehead for any river of the Chesapeake Bay watershed and its accuracy will undoubtedly improve as additional studies report variation in density for other tributaries. Because of the species’ ability to establish itself in temperate climates, it is important to engage the public to prevent additional releases of northern snakehead, especially to vulnerable habitats.

Magnitude and Patterns of Change in Submerged Aquatic Vegetation of the Tidal Freshwater Hudson River

2014 ◽  
Vol 37 (5) ◽  
pp. 1233-1242 ◽  
Author(s):  
S. E. G. Findlay ◽  
D. L. Strayer ◽  
S. D. Smith ◽  
N. Curri
Keyword(s):  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Hudson River ◽  
Tidal Freshwater

scholarly journals Multi-Scale Spectral Separability of Submerged Aquatic Vegetation Species in a Freshwater Ecosystem

2021 ◽  
Vol 9 ◽  
Author(s):  
Gillian S. L. Rowan ◽  
Margaret Kalacska ◽  
Deep Inamdar ◽  
J. Pablo Arroyo-Mora ◽  
Raymond Soffer
Keyword(s):  
Remote Sensing ◽  
Target Detection ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Growing Season ◽  
Freshwater Ecosystems ◽  
Survey Method ◽  
Freshwater Ecosystem ◽  
Leaf Level ◽  
Spectral Separability

Optical remote sensing has been suggested as a preferred method for monitoring submerged aquatic vegetation (SAV), a critical component of freshwater ecosystems that is facing increasing pressures due to climate change and human disturbance. However, due to the limited prior application of remote sensing to mapping freshwater vegetation, major foundational knowledge gaps remain, specifically in terms of the specificity of the targets and the scales at which they can be monitored. The spectral separability of SAV from the St. Lawrence River, Ontario, Canada, was therefore examined at the leaf level (i.e., spectroradiometer) as well as at coarser spectral resolutions simulating airborne and satellite sensors commonly used in the SAV mapping literature. On a Leave-one-out Nearest Neighbor criterion (LNN) scale of values from 0 (inseparable) to 1 (entirely separable), an LNN criterion value between 0.82 (separating amongst all species) and 1 (separating between vegetation and non-vegetation) was achieved for samples collected in the peak-growing season from the leaf level spectroradiometer data. In contrast, samples from the late-growing season and those resampled to coarser spectral resolutions were less separable (e.g., inter-specific LNN reduction of 0.25 in late-growing season samples as compared to the peak-growing season, and of 0.28 after resampling to the spectral response of Landsat TM5). The same SAV species were also mapped from actual airborne hyperspectral imagery using target detection analyses to illustrate how theoretical fine-scale separability translates to an in situ, moderate-spatial scale application. Novel radiometric correction, georeferencing, and water column compensation methods were applied to optimize the imagery analyzed. The SAV was generally well detected (overall recall of 88% and 94% detecting individual vegetation classes and vegetation/non-vegetation, respectively). In comparison, underwater photographs manually interpreted by a group of experts (i.e., a conventional SAV survey method) tended to be more effective than target detection at identifying individual classes, though responses varied substantially. These findings demonstrated that hyperspectral remote sensing is a viable alternative to conventional methods for identifying SAV at the leaf level and for monitoring at larger spatial scales of interest to ecosystem managers and aquatic researchers.

scholarly journals The Effect of Submerged Aquatic Vegetation Expansion on a Declining Turbidity Trend in the Sacramento-San Joaquin River Delta

2015 ◽  
Vol 39 (4) ◽  
pp. 1100-1112 ◽  
Author(s):  
Erin Lee Hestir ◽  
David H. Schoellhamer ◽  
Jonathan Greenberg ◽  
Tara Morgan-King ◽  
Susan L. Ustin
Keyword(s):  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
River Delta ◽  
San Joaquin River ◽  
Vegetation Expansion

scholarly journals Novel approach for large‐scale monitoring of submerged aquatic vegetation – a nationwide example from Sweden

2021 ◽  
Author(s):  
Silvia Huber ◽  
Lars B. Hansen ◽  
Lisbeth T. Nielsen ◽  
Mikkel L. Rasmussen ◽  
Jonas Sølvsteen ◽  
...  
Keyword(s):  
Large Scale ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Novel Approach
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