Multi-scale determinants of secondary production in Atlantic salmon (Salmo salar) streams

1998 ◽  
Vol 55 (S1) ◽  
pp. 201-217 ◽  
Author(s):  
N LeRoy Poff ◽  
Alexander D Huryn

Understanding variation in the freshwater production of Atlantic salmon across its range is a critical aspect of the species' conservation, restoration, and management. We focus on how environmental factors operate at four hierarchical scales (region, watershed, reach, local habitat) to influence the production and survivorship of juvenile salmon and the production of their invertebrate food base. Using published, quantitative information about invertebrate production in small, cold streams characteristic of Altantic salmon nursery streams, we estimate expected maximum salmon production will be ca. 9 (range 6-22)g wet mass · m-2 · year -1, which compares favorably with reported literature values of < 1 to 17 g · m-2. We highlight some empirically based, shortcut approaches to estimating invertebrate production that may be particularly useful for evaluating salmonid production across a range of scales. We also consider how availability of invertebrate prey may influence salmon production. As a synthesis, we integrate existing information into a multi-scale framework by making qualitative predictions (hypotheses) about expected patterns of invertebrate and salmon production at different habitat scales. We then develop quantitative, heuristic scenarios that predict (hypothesize) how salmon and invertebrate production will change in response to selected physicochemical and non-trophic habitat limitations operating at the watershed (geology, land use) and reach (channel form, canopy) scales. Predicted values, which fall within the range of observed values for Atlantic salmon streams, demonstrate that a multi-scale habitat perspective can provide important insights into local to regional variation in the production of Atlantic salmon across its range and thus contribute to Atlantic salmon conservation, restoration, and management.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corey S. Riding ◽  
Timothy J. O’Connell ◽  
Scott R. Loss

AbstractExpansion of urbanization and infrastructure associated with human activities has numerous impacts on wildlife including causing wildlife-structure collisions. Collisions with building windows represent a top bird mortality source, but a lack of research into timing of these collisions hampers efforts to predict them and mitigate effects on avian populations. In Stillwater, Oklahoma, USA, we investigated patterns of bird-window collisions at multiple temporal scales, from within-day to monthly and seasonal variation. We found that collisions peaked during overnight and early morning hours, a pattern that was consistent across seasons. Further, temporal variation in fatal collisions was explained by an interaction between season and avian residency status. This interaction illustrated the expected pattern that more migrant individuals than residents collided in fall, but we also documented unexpected patterns. For example, the highest monthly total of collisions occurred in spring migration during May. We also found similarly high numbers of resident and migrant collisions in spring, and a roughly similar amount of migrant mortality in spring and fall migration. These findings, which provide unprecedented quantitative information regarding temporal variation in bird-window collisions, have important implications for understanding mechanisms by which birds collide and improving timing of measures to reduce this major bird mortality source.


2003 ◽  
Vol 60 (11) ◽  
pp. 1398-1408 ◽  
Author(s):  
J C Guay ◽  
D Boisclair ◽  
M Leclerc ◽  
M Lapointe

We assessed the transferability of the habitat suitability index (HSI) and the habitat probabilistic index (HPI) between two rivers. Transferability was measured by the ability of HSI and HPI models developed in the Sainte-Marguerite River to predict the distribution of Atlantic salmon parr (Salmo salar) in the Escoumins River. HSI and HPI were based on the pattern of utilization by fish of water depth, current velocity, and substrate size. HSI was developed using the preference curve approach, and HPI was developed using a multiple logistic regression. Predicted values of HSI and HPI in Escoumins River ranged from 0 (poor habitat) to 1 (excellent habitat). Fish density in habitat patches assigned different HSI or HPI values ranged from 0 to 1 fish·100 m–2. Only HPI adequately predicted local variations in parr density (r2 = 0.84) in habitat patches of Escoumins River. Our results suggest that HSI is less transferable between rivers than HPI. Differences in substrate size between the two rivers is suspected to impede the transferability of the HSI model. We also argue that the mathematical structure of HPI provides a larger degree of flexibility that facilitates its transferability and its potential generalization.


2017 ◽  
Vol 17 ◽  
pp. 32-41 ◽  
Author(s):  
Ana Adeva Bustos ◽  
Richard David Hedger ◽  
Hans-Petter Fjeldstad ◽  
Knut Alfredsen ◽  
Håkon Sundt ◽  
...  

2015 ◽  
Vol 27 (3) ◽  
pp. 249-262 ◽  
Author(s):  
Atle Lillehaug ◽  
Nina Santi ◽  
Asgeir Østvik

1979 ◽  
Vol 57 (7) ◽  
pp. 1502-1503 ◽  
Author(s):  
John D. Neilson ◽  
David J. Gillis

Stomach content analyses on 28 Atlantic salmon captured at Port Burwell, Northwest Territories, in late August, 1977, indicate that invertebrate prey items were the most important by volume. Parathemisto libellula dominated the invertebrate prey group, and Ammodytes sp. was the most important fish in the diet of the salmon analyzed. A range extension for Notoscopelus elongtus kroeyeri was recorded.


1999 ◽  
Vol 578 ◽  
Author(s):  
L. E. Levine ◽  
G. G. Long ◽  
D. R. Black

AbstractSome recently-developed experimental techniques, such as in situ ultra-small-angle Xray scattering (USAXS), have demonstrated a capability for measuring aspects of dislocation structure evolution that are inaccessible to other experimental methods. However, no single technique can provide the entire range of information required by theoretical and computational researchers. It is only through the synergy of several experimental techniques (such as USAXS, transmission electron microscopy, and X-ray diffraction imaging) that much of the required quantitative information can be obtained. Ultimately, the development of additional new experimental techniques will also be required.


2004 ◽  
Vol 65 (4) ◽  
pp. 1047-1055 ◽  
Author(s):  
F. Okland ◽  
E. B. Thorstad ◽  
T. F. Naesje

2019 ◽  
Author(s):  
Richard Porter-Smith ◽  
John McKinlay ◽  
Alex Fraser ◽  
Robert Massom

Abstract. The Antarctic outer coastal margin (i.e., the coastline itself, or the terminus/front of ice shelves, whichever is adjacent to the ocean) is a key interface between the ice-sheet and terrestrial environments and the Southern Ocean. Its physical configuration (including both length scale of variation and orientation/aspect) has direct bearing on several closely associated cryospheric, biological, oceanographical and ecological processes, yet no study has quantified the coastal complexity or orientation of Antarctica’s coastal margin. This first-of-a-kind characterisation of Antarctic coastal complexity aims to address this knowledge gap. We quantify and investigate the physical configuration and complexity of Antarctica’s circumpolar outer coastal margin using a novel, technique based on ∼ 40,000 random points selected along a vector coastline derived from the MODIS Mosaic of Antarctica dataset. At each point, a complexity metric is calculated at length scales from 1 to 256 km, giving a multiscale estimate of the magnitude and direction of undulation or complexity at each point location along the entire coastline. Using a cluster analysis to determine characteristic complexity ‘signatures’ for random nodes, the coastline is found to comprise three basic groups or classes: (i) low complexity at all scales; (ii) most complexity at shorter scales; and (iii) most complexity at longer scales. These classes are somewhat heterogeneously distributed throughout the continent. We also consider bays and peninsulas separately and characterise their multi-scale orientation. This unique dataset and its summary analysis have numerous applications for both geophysical and biological studies and will contribute to Antarctic research requiring quantitative information on, and related to, coastal complexity and configuration. All these data are referenced by https://doi.org/10.26179/5d1af0ba45c03 and are available free of charge at https://data.antarctica.gov.au.


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