An efficient sampling protocol for sagebrush/grassland monitoring
Rangeland scientists and quantitative ecologists have developed numerous methods and monitoring techniques that can be used for vegetation sampling (Barbour et al. 1987). The methods used to position samples (transects, quadrats, lines, and points) vary and can be classed as selective, capricious, s...
| Autores principales: | , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
New South Wales Department of Primary Industry
2013
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/52049 |
| _version_ | 1855516011573280768 |
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| author | Larson LL Louhaichi, Mounir Clark, P.E. Johnson DE |
| author_browse | Clark, P.E. Johnson DE Larson LL Louhaichi, Mounir |
| author_facet | Larson LL Louhaichi, Mounir Clark, P.E. Johnson DE |
| author_sort | Larson LL |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Rangeland scientists and quantitative ecologists have developed numerous methods and monitoring techniques that can be used for vegetation sampling (Barbour et al. 1987). The methods used to position samples (transects, quadrats, lines, and points) vary and can be classed as selective, capricious, systematic, or random. One of the prerequisites for valid statistical inference is that samples are taken randomly. A random sampling procedure implies that all elements or units of the population being studied have an equal chance of being represented in the sample. It also implies that selection of an element or unit does not influence the chance of other units being sampled. Data that is collected using random sampling procedures can be used to compare attributes of different populations or sites such as vegetative cover, density, production, growth rates, etc. This paper suggests a random sampling protocol that can be easily applied in the field for sagebrush/grassland monitoring. |
| format | Conference Paper |
| id | CGSpace52049 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | New South Wales Department of Primary Industry |
| publisherStr | New South Wales Department of Primary Industry |
| record_format | dspace |
| spelling | CGSpace520492023-01-12T16:29:33Z An efficient sampling protocol for sagebrush/grassland monitoring Larson LL Louhaichi, Mounir Clark, P.E. Johnson DE climate agriculture random sampling artemisia tridentata grasslands Rangeland scientists and quantitative ecologists have developed numerous methods and monitoring techniques that can be used for vegetation sampling (Barbour et al. 1987). The methods used to position samples (transects, quadrats, lines, and points) vary and can be classed as selective, capricious, systematic, or random. One of the prerequisites for valid statistical inference is that samples are taken randomly. A random sampling procedure implies that all elements or units of the population being studied have an equal chance of being represented in the sample. It also implies that selection of an element or unit does not influence the chance of other units being sampled. Data that is collected using random sampling procedures can be used to compare attributes of different populations or sites such as vegetative cover, density, production, growth rates, etc. This paper suggests a random sampling protocol that can be easily applied in the field for sagebrush/grassland monitoring. 2013 2014-12-16T06:37:28Z 2014-12-16T06:37:28Z Conference Paper https://hdl.handle.net/10568/52049 en Open Access New South Wales Department of Primary Industry Larson LL, Louhaichi M, Clark PE, Johnson DE. 2013. An efficient sampling protocol for sagebrush/grassland monitoring. IN: Proceedings of the XXII International Grasslands Congress, Sydney, Australia, 15-19 September 2013. Orange New South Wales, Australia: New South Wales Department of Primary Industry: 877-878 |
| spellingShingle | climate agriculture random sampling artemisia tridentata grasslands Larson LL Louhaichi, Mounir Clark, P.E. Johnson DE An efficient sampling protocol for sagebrush/grassland monitoring |
| title | An efficient sampling protocol for sagebrush/grassland monitoring |
| title_full | An efficient sampling protocol for sagebrush/grassland monitoring |
| title_fullStr | An efficient sampling protocol for sagebrush/grassland monitoring |
| title_full_unstemmed | An efficient sampling protocol for sagebrush/grassland monitoring |
| title_short | An efficient sampling protocol for sagebrush/grassland monitoring |
| title_sort | efficient sampling protocol for sagebrush grassland monitoring |
| topic | climate agriculture random sampling artemisia tridentata grasslands |
| url | https://hdl.handle.net/10568/52049 |
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