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Articles by Kerwin Russell
Scientists Continue Their Study of the Santa Ana Sucker
The tagged fish were then transported to the Greenbelt Aquatics Facility to assess which gear type detected fish most accurately. The Greenbelt facility provided larger raceway environments (which were big enough to test various gear types. Three gear types were used to detect the PIT-tagged fish: Passive (or stationary) cameras -- These underwater cameras were placed in different sections of the larger raceways.
Evaluation of extinction risk for stream fishes within an urban riverscape using population viability analysis
Links More information: Publisher Index Page (via DOI) Open Access Version: Publisher Index Page Download citation as: RIS | Dublin Core Study Area Publication type Article Publication Subtype Journal Article Title Evaluation of extinction risk for stream fishes within an urban riverscape using population viability analysis Series title Aquatic Conservation: Marine and Freshwater Ecosystems DOI 10.1002/aqc.4164 Volume 34 Issue 6 Year Published 2024 Language English Publisher Wiley...
Evaluation of extinction risk for stream fishes within an urban riverscape using population viability analysis
1 INTRODUCTION The urban stream syndrome is characterized by common stressors associated with habitat degradation (Booth et al., 2016; Komínková, 2012), such as a modified flow regime (flashier flows, reduced peak flows, disconnected floodplains) due to high densities of impermeable surfaces and flow altering structures (e.g., dams, levees), reduced channel complexity (e.g., removed large woody debris), elevated pollutant loads (e.g., wastewater effluent) and changes to community structure...
Joint-species analysis reveals potential displacement of native fishes by non-native fishes within the Santa Ana River, California
N-mixture model The N-mixture model is an increasingly common hierarchical model used for survey data to estimate animal abundance (Royle 2004; Kéry and Royle 2016). These models are hierarchical through the conditional link between observed counts and true abundance (state variable) via a measurement error submodel (detection efficiency, Kéry and Royle 2016).
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