scholarly journals The Design and Development of a Web-Based GIS Application for Managing Fish Species at Risk in Ontario

2021 ◽  
Author(s):  
Haibin Liu
Keyword(s):  
At Risk ◽  
Fish Species ◽  
Fish Distribution ◽  
Gis Mapping ◽  
Web Browsers ◽  
Lake Area ◽  
Species At Risk ◽  
Web Based ◽  
Distribution Management ◽  
Gis Application

This thesis presents a study on the design and implementation of a Web-based Geographic Information Systems (GIS) application to support effective management of fish species at risk (FSAR) in Ontario, Canada. By using Internet and GIS technologies, a fish distribution management application was created and implemented for the Department of Fishery and Ocean Canada, Ontario Great lake Area (DFO-OGLA). The goal of the study is to implement a web-based fish species viewing and quering system that would allow users to obtain information about the FSAR data. The proposed WebGIS system not only includes common GIS mapping tools to navigate the map and geospatial data, but also provides specific geospatial search engine tools and fish species reporting tools. WebGIS provides an easy and inexpensive way for the biologists and environmental scientists to access FSAR information with web browsers.

scholarly journals The Design and Development of a Web-Based GIS Application for Managing Fish Species at Risk in Ontario

2021 ◽  
Author(s):  
Haibin Liu
Keyword(s):  
At Risk ◽  
Fish Species ◽  
Fish Distribution ◽  
Gis Mapping ◽  
Web Browsers ◽  
Lake Area ◽  
Species At Risk ◽  
Web Based ◽  
Distribution Management ◽  
Gis Application

This thesis presents a study on the design and implementation of a Web-based Geographic Information Systems (GIS) application to support effective management of fish species at risk (FSAR) in Ontario, Canada. By using Internet and GIS technologies, a fish distribution management application was created and implemented for the Department of Fishery and Ocean Canada, Ontario Great lake Area (DFO-OGLA). The goal of the study is to implement a web-based fish species viewing and quering system that would allow users to obtain information about the FSAR data. The proposed WebGIS system not only includes common GIS mapping tools to navigate the map and geospatial data, but also provides specific geospatial search engine tools and fish species reporting tools. WebGIS provides an easy and inexpensive way for the biologists and environmental scientists to access FSAR information with web browsers.

scholarly journals Predicting warming-induced hypoxic stress for fish in a fragmented river channel using ecosystem metabolism models

2021 ◽  
Author(s):  
Jacob P. Ziegler ◽  
James W. Roy ◽  
Matthew J. Bogard ◽  
D. Andrew R. Drake
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Water Temperature ◽  
Fish Species ◽  
River Channel ◽  
Ecosystem Metabolism ◽  
Hypoxic Stress ◽  
Aquatic Species ◽  
Species At Risk ◽  
Temperature And Precipitation

Aquatic biota often face multiple anthropogenic threats such as river fragmentation and climate change that can contribute to high rates of aquatic species imperilment world-wide. Temperature-induced hypoxia is one under-explored mechanism that can threaten aquatic species in fragmented rivers with reduced flows. We applied ecosystem metabolism models to define the effect of water temperature on net ecosystem production (NEP) of oxygen at 12 sites of a fragmented river channel that supports three fish species at risk and experiences hypoxia. We found that water temperature and precipitation events at 75% of our sites were significantly and negatively correlated to NEP estimates and explained 28% of the variation in NEP within sites. Temperature-induced reductions in NEP at these sites likely contributed to hypoxic conditions threatening the three species at risk as NEP explained 41% of the variation in dissolved oxygen near all sites. Our results have applications for understanding drivers of hypoxic stress in fragmented watercourses, integrating water temperature-NEP effects with oxygen demands of sensitive fish species, and modeling future effects of climate change on aquatic species.

scholarly journals Diet of a rare Canadian fish species, Carmine Shiner (Notropis percobromus) in the Birch River, Manitoba, Canada

2020 ◽  
Vol 134 (1) ◽  
pp. 64-70
Author(s):  
Eva C. Enders ◽  
Tharshinidevy Nagalingam ◽  
Amanda L. Caskenette ◽  
Tyana A. Rudolfsen ◽  
Colin Charles ◽  
...  
Keyword(s):  
At Risk ◽  
Fish Species ◽  
Aquatic Insects ◽  
Diet Composition ◽  
Temporal Trends ◽  
Stomach Contents ◽  
Open Water ◽  
Species At Risk ◽  
Conservation Actions ◽  
Species At Risk Act

Due to its restricted occurrence and existing threats, Carmine Shiner (Notropis percobromus) has been listed as threatened under the Canadian Species at Risk Act. Little is known about Carmine Shiner biology, and understanding its diet composition will help inform future conservation actions. Consequently, the aim of this study was to analyze the diet of Carmine Shiner. Fish were caught throughout the open water season using beach seines, and stomach contents were analyzed. Carmine Shiner feed on a variety of terrestrial and aquatic insects. Diets did not differ substantially between year classes, and we observed no clear temporal trends in diet composition.

Living on the edge: Traits of freshwater fish species at risk in Canada

2017 ◽  
Vol 27 (5) ◽  
pp. 938-945 ◽  
Author(s):  
William R. Glass ◽  
Lynda D. Corkum ◽  
Nicholas E. Mandrak
Keyword(s):  
At Risk ◽  
Freshwater Fish ◽  
Fish Species ◽  
Species At Risk ◽  
Freshwater Fish Species

A model for the determination of fish species at risk based upon life-history traits and ecological data

1995 ◽  
Vol 52 (8) ◽  
pp. 1768-1781 ◽  
Author(s):  
Serge Parent ◽  
Lynn M. Schriml
Keyword(s):  
At Risk ◽  
Life History ◽  
Fish Species ◽  
Breeding Habitat ◽  
Species At Risk ◽  
Ecological Data ◽  
Feeding Habitat ◽  
Feeding Area ◽  
Feeding Substrate ◽  
Not At Risk

Fish species at risk (n = 29) and not at risk (n = 88) of extinction in the Great Lakes –St. Lawrence biozone were compared to determine if they could be distinguished by their life-history characteristics. A matrix of 51 variables representing 2 phylogenetic, 18 life-history, and 31 ecological variables was compiled from literature sources. Nonparametric analysis shows that 14 variables distinguish between species at risk and not at risk. Logistic regression indicates that seven factors are significant in defining the two groups: age at maturation, feeding habitat, fish feeding regime, feeding substrate, water flow over feeding area, breeding habitat, and breeding substrate. The resulting model is concordant at 97.1% (p = 0.0001, −2 log likelihood = 38.9). The model states that any fish species maturing at 18 years or more is at risk of extinction in the biozone. When applied to a set of fish species from the American Midwest using a decision level of p = 49%, the model had a reclassification success of 77.8%. The modeling technique could be useful to evaluate species at risk and to complement decision making with regard to vulnerability, especially in the case of wide-ranging species such as Atlantic sturgeon (Acipenser oxyrhynchus) and American eel (Anguilla rostrata).

A Web Based Interactive Tool to Enhance Schools' Capacity to Aid at-Risk Students

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 110A-110A
Author(s):  
Eliot E. Goldman ◽  
Cyrille Adam ◽  
Rachel J. Goldman
Keyword(s):  
At Risk ◽  
At Risk Students ◽  
Web Based ◽  
Interactive Tool
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