Show simple item record

dc.contributor.authorRodríguez Iglesias, R. M.
dc.contributor.authorKothmann, M. M.
dc.date.accessioned2020-09-23T05:51:34Z
dc.date.available2020-09-23T05:51:34Z
dc.date.issued1998-01-01
dc.identifier.citationRodríguez Iglesias, R. M., & Kothmann, M. M. (1998). Best linear unbiased prediction of herbivore preferences. Journal of Range Management, 51(1), 19-28.
dc.identifier.issn0022-409X
dc.identifier.doi10.2307/4003558
dc.identifier.urihttp://hdl.handle.net/10150/644054
dc.description.abstractGeneralized linear mixed models were used to obtain best linear unbiased predictions (BLUP's) of herbivore preferences for range plant species from expert knowledge contained in range site descriptions produced by the USDA Soil Conservation Service (currently Natural Resources Conservation Service). A total of 4,558 assessments of preference for cattle, deer, goats, and sheep on 167 plant species were available from 55 range site descriptions for the Edwards Plateau (Texas). Consistency of predicted preferences was evaluated through intraclass correlation estimated by restricted maximum likelihood. Predictions in observed (3-level ordinal) and logit scales were very similar; rank correlations between predictions in different scales ranged from 0.994 (P < 0.0001) for cattle to 0.998 (P < 0.0001) for sheep. Estimated intraclass correlations were also high (0.74 to 0.84 in observed scale and 0.82 to 0.92 in logit scale) suggesting consistent rankings of plant species across range sites. Metric multidimensional scaling and principal components analysis showed distinct patterns among the 4 herbivores. Grasses and browse were the most informative forage classes for discriminating preferences among herbivores. Deer and cattle exhibited the least similar diet preferences. Sheep and goats were intermediate, with sheep closer to cattle and goats most similar to deer. The pair deer-goat showed the most similar pattern of preferences. BLUP's of plant species preferences showed good agreement with published research on both individual plant species and forage classes. Optimal properties of mixed model procedures can be exploited to predict animal preferences at the range site scale from standardized expert opinion. These estimated preferences may be useful for modeling grazing effects at spatial scales compatible with management decisions.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectdeer
dc.subjectresource utilization
dc.subjectEdwards Plateau
dc.subjectCyperaceae
dc.subjectmixed grazing
dc.subjectinterspecific competition
dc.subjectlegumes
dc.subjectbrowse plants
dc.subjectbest linear unbiased prediction
dc.subjectlinear models
dc.subjectforbs
dc.subjectshrubs
dc.subjectsheep
dc.subjectgoats
dc.subjectcattle
dc.subjectTexas
dc.subjectgrasses
dc.subjectfeeding preferences
dc.titleBest linear unbiased prediction of herbivore preferences
dc.typetext
dc.typeArticle
dc.identifier.journalJournal of Range Management
dc.description.collectioninformationThe Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume51
dc.source.issue1
dc.source.beginpage19-28
refterms.dateFOA2020-09-23T05:51:34Z


Files in this item

Thumbnail
Name:
9274-9155-1-PB.pdf
Size:
1.146Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record