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8 March 2022 Adaptive Monitoring for Multiscale Land Management: Lessons Learned from the Assessment, Inventory, and Monitoring (AIM) Principles
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, Zoe Davidson
Author Affiliations +
Abstract
  • 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 Published by Elsevier Inc. on behalf of The Society for Range Management.
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
Published: 8 March 2022
KEYWORDS
Data management
decision-making
Design
indicators
public lands
rangeland monitoring
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