Royce Larsen , Joseph G. Robins , Kevin B. Jensen , Matthew Shapero , Karl Striby , LynneDee Althouse , Melvin George , Marc Horney , Devii Rao , Alexander Hernandez , Randy Dahlgren , James Bartolome
{"title":"Statistical considerations of using the 1-ft2 quadrat for monitoring peak standing crop and residual dry matter on California annual rangelands","authors":"Royce Larsen , Joseph G. Robins , Kevin B. Jensen , Matthew Shapero , Karl Striby , LynneDee Althouse , Melvin George , Marc Horney , Devii Rao , Alexander Hernandez , Randy Dahlgren , James Bartolome","doi":"10.1016/j.rala.2023.06.002","DOIUrl":null,"url":null,"abstract":"<div><p></p><ul><li><span>•</span><span><p>Peak standing crop (PSC) and residual dry matter (RDM) are the primary measures of production and grazing intensity on California's annual rangelands.</p></span></li><li><span>•</span><span><p>One of the most common methods of monitoring forage metrics is to clip 1-ft<sup>2</sup> quadrats. The USDA Forest Service, Bureau of Land Management, universities, and other land managers have been using this methodology since the 1930s.</p></span></li><li><span>•</span><span><p>We used best linear unbiased predictors (BLUEs) to determine 95% confidence intervals for PSC and RDM. For both PSC and RDM, as the number of samples taken increased from 1 to 10, the predictive ability also significantly increased. We found no evidence of increased predictive power past 10 samples.</p></span></li></ul></div>","PeriodicalId":101057,"journal":{"name":"Rangelands","volume":"45 5","pages":"Pages 102-108"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rangelands","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0190052823000263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
•
Peak standing crop (PSC) and residual dry matter (RDM) are the primary measures of production and grazing intensity on California's annual rangelands.
•
One of the most common methods of monitoring forage metrics is to clip 1-ft2 quadrats. The USDA Forest Service, Bureau of Land Management, universities, and other land managers have been using this methodology since the 1930s.
•
We used best linear unbiased predictors (BLUEs) to determine 95% confidence intervals for PSC and RDM. For both PSC and RDM, as the number of samples taken increased from 1 to 10, the predictive ability also significantly increased. We found no evidence of increased predictive power past 10 samples.
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