Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico
In the assessment of natural resources, such as forests or grasslands, it is common to apply a two-stage cluster sampling design, the application of which in the field determines the following situations: (a) difficulty in locating secondary sampling units (SSUs) precisely as planned, so that a rand...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/10/11/1194 |
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| author | Efraín Velasco-Bautista Martin Enrique Romero-Sanchez David Meza-Juárez Ramiro Pérez-Miranda |
| author_facet | Efraín Velasco-Bautista Martin Enrique Romero-Sanchez David Meza-Juárez Ramiro Pérez-Miranda |
| author_sort | Efraín Velasco-Bautista |
| collection | DOAJ |
| description | In the assessment of natural resources, such as forests or grasslands, it is common to apply a two-stage cluster sampling design, the application of which in the field determines the following situations: (a) difficulty in locating secondary sampling units (SSUs) precisely as planned, so that a random pattern of SSUs can be identified; and (b) the possibility that some primary sampling units (PSUs) have fewer SSUs than planned, leading to PSUs of different sizes. In addition, when considering the estimated variance of the various potential estimators for two-stage cluster sampling, the part corresponding to the variation between SSUs tends to be small for large populations, so the estimator’s variance may depend only on the divergence between PSUs. Research on these aspects is incipient in grassland assessment, so this study generated an artificial population of 759 PSUs and examined the effect of six estimation methods, using 15 PSU sample sizes, on unbiased and relative sampling errors when estimating aboveground, belowground, and total biomass of halophytic grassland. The results indicated that methods 1, 2, 4, and 5 achieved unbiased biomass estimates regardless of sample size, while methods 3 and 6 led to slightly biased estimates. Methods 4 and 5 had relative sampling errors of less than 5% with a sample size of 140 when estimating total biomass. |
| first_indexed | 2024-03-10T05:22:17Z |
| format | Article |
| id | doaj.art-ffb467fa69194d859e28a60d48111c40 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T05:22:17Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-ffb467fa69194d859e28a60d48111c402023-11-23T00:01:31ZengMDPI AGLand2073-445X2021-11-011011119410.3390/land10111194Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, MexicoEfraín Velasco-Bautista0Martin Enrique Romero-Sanchez1David Meza-Juárez2Ramiro Pérez-Miranda3Sustainable Forest Management, National Institute of Forestry, Agriculture and Livestock Research, Mexico City 04010, MexicoSustainable Forest Management, National Institute of Forestry, Agriculture and Livestock Research, Mexico City 04010, MexicoSenior Environmental Consultant, Private Business, Texcoco 56226, MexicoSustainable Forest Management, National Institute of Forestry, Agriculture and Livestock Research, Mexico City 04010, MexicoIn the assessment of natural resources, such as forests or grasslands, it is common to apply a two-stage cluster sampling design, the application of which in the field determines the following situations: (a) difficulty in locating secondary sampling units (SSUs) precisely as planned, so that a random pattern of SSUs can be identified; and (b) the possibility that some primary sampling units (PSUs) have fewer SSUs than planned, leading to PSUs of different sizes. In addition, when considering the estimated variance of the various potential estimators for two-stage cluster sampling, the part corresponding to the variation between SSUs tends to be small for large populations, so the estimator’s variance may depend only on the divergence between PSUs. Research on these aspects is incipient in grassland assessment, so this study generated an artificial population of 759 PSUs and examined the effect of six estimation methods, using 15 PSU sample sizes, on unbiased and relative sampling errors when estimating aboveground, belowground, and total biomass of halophytic grassland. The results indicated that methods 1, 2, 4, and 5 achieved unbiased biomass estimates regardless of sample size, while methods 3 and 6 led to slightly biased estimates. Methods 4 and 5 had relative sampling errors of less than 5% with a sample size of 140 when estimating total biomass.https://www.mdpi.com/2073-445X/10/11/1194two-stage cluster samplinghalophytic grassland biomasssample sizeunbiased estimators |
| spellingShingle | Efraín Velasco-Bautista Martin Enrique Romero-Sanchez David Meza-Juárez Ramiro Pérez-Miranda Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico Land two-stage cluster sampling halophytic grassland biomass sample size unbiased estimators |
| title | Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico |
| title_full | Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico |
| title_fullStr | Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico |
| title_full_unstemmed | Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico |
| title_short | Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico |
| title_sort | assessment of the effect of six methods of analysis and different sample sizes for biomass estimation in grasslands of the state of puebla mexico |
| topic | two-stage cluster sampling halophytic grassland biomass sample size unbiased estimators |
| url | https://www.mdpi.com/2073-445X/10/11/1194 |
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