Community Ecology of Stream Fishes: Concepts, Approaches, and Techniques

<em>Abstract</em>.—The pumpkinseed <em>Lepomis gibbosus </em>was introduced to Europe, including England, more than 100 years ago, but relatively little is known of its potential ecological impacts on native species and ecosystems. In England, the pumpkinseed is currently established in ponds of the River Ouse (Sussex) and its flood plain. Escapee pumpkinseeds are found in some small tributaries that contain native species of conservation interest (brown trout <em>Salmo trutta</em>, brook lamprey <em>Lampetra planeri</em>, European eel <em>Anguilla anguilla</em>, European bullhead <em>Cottus gobio</em>). We used using electrofishing surveys and telemetry methods to examine the interactions between pumpkinseeds and native stream fishes (mainly brown trout), including predator–prey relationships, home range size, microhabitat preferences, home range fidelity, and habitat overlap/repartition. To assess impacts of pumpkinseed on stream food webs, a preliminary study quantified trout growth and food-web structure of a stream ecosystem (abundance of primary and secondary producers, fish, and riparian spiders) in reaches with and without pumpkinseed. Where pumpkinseeds were in high density, differences were observed in stream food-web structure, in proportional representation of fish species traits and in riparian spider community composition, but these differences cannot be attributed solely to pumpkinseed presence. From the available evidence, there appears to be little direct or indirect adverse impact of pumpkinseed on native species and the stream ecosystem when in low densities, including as a host of nonnative infectious agents. However, this could change under conditions of climate warming, which are likely to favor pumpkinseed reproduction, potentially to the detriment of native species. In a context in which freshwater ecosystems are impacted by several human and climate-induced factors acting synergistically, our results underline the need to study nonnative species impacts through a series of experimental and long-term studies of stream ecosystems.

Oikos ◽  
2017 ◽  
Vol 127 (2) ◽  
pp. 316-326 ◽  
Author(s):  
Idaline Laigle ◽  
Isabelle Aubin ◽  
Christoph Digel ◽  
Ulrich Brose ◽  
Isabelle Boulangeat ◽  
...  

2011 ◽  
Vol 279 (1733) ◽  
pp. 1588-1596 ◽  
Author(s):  
Anna Eklöf ◽  
Matthew R. Helmus ◽  
M. Moore ◽  
Stefano Allesina

Explaining the structure of ecosystems is one of the great challenges of ecology. Simple models for food web structure aim at disentangling the complexity of ecological interaction networks and detect the main forces that are responsible for their shape. Trophic interactions are influenced by species traits, which in turn are largely determined by evolutionary history. Closely related species are more likely to share similar traits, such as body size, feeding mode and habitat preference than distant ones. Here, we present a theoretical framework for analysing whether evolutionary history—represented by taxonomic classification—provides valuable information on food web structure. In doing so, we measure which taxonomic ranks better explain species interactions. Our analysis is based on partitioning of the species into taxonomic units. For each partition, we compute the likelihood that a probabilistic model for food web structure reproduces the data using this information. We find that taxonomic partitions produce significantly higher likelihoods than expected at random. Marginal likelihoods (Bayes factors) are used to perform model selection among taxonomic ranks. We show that food webs are best explained by the coarser taxonomic ranks (kingdom to class). Our methods provide a way to explicitly include evolutionary history in models for food web structure.


2005 ◽  
Vol 30 (1) ◽  
pp. 58-73 ◽  
Author(s):  
Rosinês L. Motta ◽  
Virginia S. Uieda

2018 ◽  
Vol 8 (3) ◽  
pp. 029-041
Author(s):  
D.M. UMAR ◽  
◽  
J.S. HARDING ◽  
H.M. CHAPMAN ◽  

2017 ◽  
Vol 27 (4) ◽  
pp. 1190-1198 ◽  
Author(s):  
Joshua J. Thoresen ◽  
David Towns ◽  
Sebastian Leuzinger ◽  
Mel Durrett ◽  
Christa P. H. Mulder ◽  
...  

2020 ◽  
Vol 106 (2) ◽  
pp. 69-85
Author(s):  
Matthew J. Young ◽  
Frederick Feyrer ◽  
Paul R. Stumpner ◽  
Veronica Larwood ◽  
Oliver Patton ◽  
...  

2009 ◽  
Vol 364 (1524) ◽  
pp. 1789-1801 ◽  
Author(s):  
Kevin Shear McCann ◽  
Neil Rooney

Here, we synthesize a number of recent empirical and theoretical papers to argue that food-web dynamics are characterized by high amounts of spatial and temporal variability and that organisms respond predictably, via behaviour, to these changing conditions. Such behavioural responses on the landscape drive a highly adaptive food-web structure in space and time. Empirical evidence suggests that underlying attributes of food webs are potentially scale-invariant such that food webs are characterized by hump-shaped trophic structures with fast and slow pathways that repeat at different resolutions within the food web. We place these empirical patterns within the context of recent food-web theory to show that adaptable food-web structure confers stability to an assemblage of interacting organisms in a variable world. Finally, we show that recent food-web analyses agree with two of the major predictions of this theory. We argue that the next major frontier in food-web theory and applied food-web ecology must consider the influence of variability on food-web structure.


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