Assessment of Animal-Based Methods Used for Estimating and Monitoring Rangeland Herbivore Diet Composition
Issue Date
2018-07Keywords
browserdiet composition
DNA barcoding
grazer
microhistology
near infrared reflectance spectroscopy
Metadata
Show full item recordCitation
Garnick, S., Barboza, P. S., & Walker, J. W. (2018). Assessment of animal-based methods used for estimating and monitoring rangeland herbivore diet composition. Rangeland Ecology & Management, 71(4), 449-457.Publisher
Society for Range ManagementJournal
Rangeland Ecology & ManagementAdditional Links
https://rangelands.org/Abstract
Researchers and managers need effective tools for monitoring the use of forages by large herbivores. Since 2000, the number of herbivore diet studies has nearly doubled. In this review, we determine trends in the field; assess the utility of key techniques against five criteria (cost, accuracy and precision, resolution, utility for long-term monitoring programs, and appropriateness for browsers and grazers); and make recommendations to give managers appropriate tools. Three techniques stand out: microhistology, near infrared reflectance spectroscopy, and deoxyribonucleic acid (DNA) barcoding. Microhistology has a long history of use in rangelands and is often considered the gold standard for understanding diet composition, albeit at a high cost of labor. Near infrared reflectance spectroscopy can resolve the presence of target groups or species more quickly than microhistology, especially for grazers. DNA barcoding provides the greatest resolution of dietary items with less quantitative certainty than microhistology. The costs associated with DNA barcoding come primarily from technology and sequencing, while in microhistology they are associated with labor. Therefore, an improved, streamlined microhistology method could provide rangeland managers a rapid and cost-effective method for diet monitoring. Ultimately, the complex challenges facing rangeland managers today may require the use of more than one method to achieve acceptable resolution within actionable time frames.Type
Articletext
Language
enISSN
1550-7424EISSN
1551-5028ae974a485f413a2113503eed53cd6c53
10.1016/j.rama.2018.03.003
Scopus Count
Except where otherwise noted, this item's license is described as © 2018 The Authors. Published by Elsevier Inc. on behalf of The Society for Range Management. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).