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Adaptive monitoring for multiscale land management: Lessons learned from the Assessment, Inventory, and Monitoring (AIM) principles
Author
Kachergis, E.
Miller, S.W.
McCord, S.E.
Dickard, M.
Savage, S.
Reynolds, L.V.
Lepak, N.
Dietrich, C.
Green, A.
Nafus, A.
Prentice, K.
Davidson, Z.
Publisher
Society for Range Management
Publication Year
2022-02
Body

The BLM Assessment, Inventory, and Monitoring (AIM) strategy recommends five principles for building multiscale monitoring programs: standardized methods and indicators; data management and stewardship; appropriate sample designs; remote sensing integration; and structured implementation. These principles guide monitoring across public lands. We find the AIM principles are sound and worthy of consideration for design and adaptation of rangeland monitoring programs worldwide. An emergent principle, standard workflows and analysis frameworks for using data, connects data to land management decision-making and empowers land managers. The AIM principles inspire and provide opportunities for the rangeland management community to implement adaptive management. © 2021 The Rangelands 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.

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.1016/j.rala.2021.08.006
Additional Information
Emily Kachergis, Scott W. Miller, Sarah E. McCord, Melissa Dickard, Shannon Savage, Lindsay V. Reynolds, Nika Lepak, Chris Dietrich, Adam Green, Aleta Nafus, Karen Prentice, and Zoe Davidson "Adaptive Monitoring for Multiscale Land Management: Lessons Learned from the Assessment, Inventory, and Monitoring (AIM) Principles," Rangelands 44(1), 50-63, (8 March 2022). https://doi.org/10.1016/j.rala.2021.08.006
ISSN
0190-0528
OAI Identifier
oai:repository.arizona.edu:10150/675729
Journal Volume
Rangelands
Journal Number
44
Journal Pages
1
Collection
Rangelands
Journal Name
Rangelands
Keywords
data management
decision-making
design
indicators
public lands
rangeland monitoring
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