Inland Fisheries - Length/Weight [ds195]
收藏CDFW Open Data Portal2024-12-11 更新2026-03-28 收录
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The TARRI database was developed to:
* demonstrate the feasibility of compiling a significant amount of the known aquatic fauna data for a finite geographical area.
* provide resource managers with a foundation of information on what species have occurred in the area and under what conditions (reference conditions). This will allow data-driven decisions on appropriate monitoring and management activities to ensure protection of the resources.
* provide the means to integrate related datasets from available information on species occurrence, population dynamics and habitat conditions to allow fisheries managers to make informed decisions in areas such as setting angling regulations and watershed planning. Incorporating the data into BIOS provides the additional capability of spatial analysis of the data.
* provide a data model that could be adapted and expanded statewide. * serve as a reference resource for educators, anglers and other members of the general public.
As an example of the intended use, a fishery manager could quickly see how two year old largemouth bass have grown over several years using the scale data (ages derived from fish scales), compare it with the length-frequency graphs and condition (K) indices in the Length-Frequency data, and finally look at catch rates in the Creel data to decide on proposed angling regulations. Known Caveats of the Data The accuracy of all identifications in the data set is ultimately the responsibility of the listed identifier. All weights, fork lengths and, if calculated, estimates of condition, weight-length regression, and correlation coefficient must be viewed as only single data points in time and space. Populations of fish and fish growth patterns, are known to vary widely over time as well as over a single stream reach. UTM readings were taken using NAD27 as this was the original protocol.
创建时间:
2020-02-12



