Multiscale relationships between Great Lakes nearshore fish communities and anthropogenic shoreline factors

Goforth, Reuben R.; Carman, Stephanie M.

doi:10.1016/j.jglr.2009.02.001

Cited by 13 publications

(7 citation statements)

References 38 publications

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“…Most studies emphasize the need for incorporating large spatial scales when examining the association between biotic and abiotic factors (e.g., Goforth and Carman 2009). Spatial scale is important in understanding fish-habitat associations, but few studies have examined such patterns over longer time scales within one system.…”

Section: Discussionmentioning

confidence: 99%

“…Much emphasis has been placed on expanding the spatial scales over which fish community structure is examined (Ricklefs 1987). Species assemblages can vary across different scales of anthropogenic disturbances, and recent studies have shown that biological communities respond to stressors at larger spatial scales than previously thought (Goforth and Carman 2009). Changes in physicochemical and habitat variables also can vary in their influence on the structuring of fish communities at multiple spatial scales.…”

mentioning

confidence: 99%

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Temporal and Fine‐Scale Spatial Variation in Fish Assemblage Structure in a Drowned River Mouth System of Lake Michigan

Bhagat

Ruetz

2011

Trans Am Fish Soc

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We examined patterns of fish community composition and the relation to environmental variation in a drowned river mouth system of Lake Michigan. Direct hydrological connections to the Muskegon River and Lake Michigan contribute to a unique ecosystem with large‐lake and riverine influences, thus making Muskegon Lake of particular interest for assessing fish community structure across spatiotemporal scales. Using overnight fyke‐net sets, we sampled the fish community at four littoral sites in Muskegon Lake during spring, summer, and fall of 2003–2009; we also measured a suite of physicochemical variables at each sampling location and event. Among the most abundant species captured were the yellow perch Perca flavescens, round goby Neogobius melanostomus, and bluntnose minnow Pimephales notatus. Results from nonmetric multidimensional scaling showed that fish assemblages varied strongly across seasons and across sites but that annual variation was weak. Canonical correspondence analysis by season showed that temperature was the most important variable in spring, whereas turbidity, dissolved oxygen, and depth were more influential in structuring fish communities during summer. Macrophyte cover played a significant role in explaining community composition in the fall. We observed patterns of seasonal temporal variation in species–environment relationships, similar to patterns observed in purely lacustrine systems. We also observed patterns of fine‐scale spatial variation, which are typically noted in purely riverine systems. As such, our results have implications for predicting and determining patterns in other drowned river mouth lakes and reservoirs that are heavily influenced by both riverine and large‐lake dynamics.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Temporal and Fine‐Scale Spatial Variation in Fish Assemblage Structure in a Drowned River Mouth System of Lake Michigan

Bhagat

Ruetz

2011

Trans Am Fish Soc

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“…Assessing stress-response relationships is further complicated by accommodating seasonal and annual changes in nearshore habitat components such as fish assemblages and aquatic macrophytes (Leslie and Timmins 1993;Trial et al 2001). Other direct site-scale effects on nearshore substrate may stem from unrelated updrift conditions, which may arise in larger lake systems (Meadows et al 2005;Goforth and Carman 2009). Despite the challenges, through the comparison of neighboring armored and natural shorelines, we found that shoreline protection affected a variety of nearshore habitat components in the Upper Winnebago Pool Lakes.…”

Section: Resultsmentioning

confidence: 78%

“…This has been addressed by comparing sites among different lakes (Christensen et al 1996;Jennings et al 1999;Radomski and Goeman 2001), and by comparing developed and undeveloped sites in general terms (Bryan and Scarnecchia 1992;Leslie and Timmins 1993;Lougheed et al 2001), which limit interpretation of results. Also, models may be inherent to a lake type, in that impacts to large, deepwater lake systems (Brazner and Magnuson 1994;Meadows et al 2005;Goforth and Carman 2009) may differ from shallow lakes. Other studies have focused on specific habitat components, such as aquatic macrophytes (Radomski and Goeman 2001), nearshore cover (Christensen et al 1996), substrate (Jennings et al 1999), and fish (Hook et al 2001), and variations in assessment methodologies and scale present uncertainty in integrating these to characterize ecosystem response.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Riprap on Wetland Shorelines, Upper Winnebago Pool Lakes, Wisconsin

Gabriel

Bodensteiner

2011

Wetlands

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Isolation of causative factors has proved challenging in characterizing the physical, chemical, and biological effects of shoreline hardening on the nearshore environment because of logistical challenges in identifying comparable sites. Extensive shoreline hardening and interspersion with unaltered shores in the large, shallow lakes in central Wisconsin provide an opportunity to surmount this. We compared the effects of shoreline protection on wave climate, bottom topography and substrate, water quality, and plant and animal assemblages at five adjacent pairs of natural and armored (riprapped) shorelines. Armored shorelines were characterized by coarser, more compacted substrates with lower organic content; cooler temperatures with higher dissolved oxygen; and greater water clarity. Differences in physical and chemical properties likely influenced plant growth forms and fish feeding guild differences between riprapped and natural sites. For example, floating-leaved plants were more abundant and fish were nearly twice as abundant and were represented by larger individuals at natural versus armored shorelines. Substrate characteristics may account for the differences in water quality and plant and animal associations observed in this study. As shoreline property owners continue to install riprap as protection against erosion, we expect the nearshore environment and associated biological communities to increasingly reflect this practice.

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“…Tại các quốc gia đang phát triển, khu vực đường bờ trong các lưu vực sông là những nơi "dễ bị tổn thương" dưới tác động của tự nhiên và hoạt động phát triển kinh tế-xã hội [26,27]…”

Section: Mở đầUunclassified

Determination of Shoreline Changes along Upstream of Se San River, Kontum Province based Multi-temporal Remote Sensing Data Analysis

Pham¹,

Hoa²,

Tích³

et al. 2020

EES

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Se San river upstream includes Poko tributary (on the right bank) and Dak Bla tributary (on the left bank), mostly located in Kon Tum province. The process of river sediment decline has dramatic shoreline changes in this area, which becomes a driving-force to modify the current socio-economic development as well as the impact on territorial planning in the future. This study aims to analyze the shoreline changes by extracting multi-temporal satellite imagery of Landsat in the period of 1990-2013 and identify its change effects on land-use. The results show that the strongest erosion rate was -2.96 m/year in Dak Bla tributary (in Kon Tum town). And in the Poko tributary, the average value of erosion rate is -1.31 m/year and the average accretion rate is 1.17 m/year. In the context of dramatic land-use change, this approach allows to support for territorial management and illustrates the accretion-erosion relationship in river basin evolution.

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Multiscale relationships between Great Lakes nearshore fish communities and anthropogenic shoreline factors

Cited by 13 publications

References 38 publications

Temporal and Fine‐Scale Spatial Variation in Fish Assemblage Structure in a Drowned River Mouth System of Lake Michigan

Temporal and Fine‐Scale Spatial Variation in Fish Assemblage Structure in a Drowned River Mouth System of Lake Michigan

Impacts of Riprap on Wetland Shorelines, Upper Winnebago Pool Lakes, Wisconsin

Determination of Shoreline Changes along Upstream of Se San River, Kontum Province based Multi-temporal Remote Sensing Data Analysis

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