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<title>Rangelands, Volume 44, Number 1 (2022)</title>
<link href="http://hdl.handle.net/10150/675650" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/10150/675650</id>
<updated>2026-04-21T07:12:44Z</updated>
<dc:date>2026-04-21T07:12:44Z</dc:date>
<entry>
<title>Rangelands, Volume 44, Issue 1 (February 2022)</title>
<link href="http://hdl.handle.net/10150/675750" rel="alternate"/>
<author>
<name>Society for Range Management</name>
</author>
<id>http://hdl.handle.net/10150/675750</id>
<updated>2025-03-09T02:01:57Z</updated>
<published>2022-02-01T00:00:00Z</published>
<summary type="text">Rangelands, Volume 44, Issue 1 (February 2022)
Society for Range Management
Masthead/Table of Contents
</summary>
<dc:date>2022-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Browsing the Literature</title>
<link href="http://hdl.handle.net/10150/675740" rel="alternate"/>
<author>
<name>Germino, Matt</name>
</author>
<id>http://hdl.handle.net/10150/675740</id>
<updated>2025-03-09T02:01:09Z</updated>
<published>2022-02-01T00:00:00Z</published>
<summary type="text">Browsing the Literature
Germino, Matt
</summary>
<dc:date>2022-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Adaptive monitoring for multiscale land management: Lessons learned from the Assessment, Inventory, and Monitoring (AIM) principles</title>
<link href="http://hdl.handle.net/10150/675729" rel="alternate"/>
<author>
<name>Kachergis, E.</name>
</author>
<author>
<name>Miller, S.W.</name>
</author>
<author>
<name>McCord, S.E.</name>
</author>
<author>
<name>Dickard, M.</name>
</author>
<author>
<name>Savage, S.</name>
</author>
<author>
<name>Reynolds, L.V.</name>
</author>
<author>
<name>Lepak, N.</name>
</author>
<author>
<name>Dietrich, C.</name>
</author>
<author>
<name>Green, A.</name>
</author>
<author>
<name>Nafus, A.</name>
</author>
<author>
<name>Prentice, K.</name>
</author>
<author>
<name>Davidson, Z.</name>
</author>
<id>http://hdl.handle.net/10150/675729</id>
<updated>2025-03-09T01:59:06Z</updated>
<published>2022-02-01T00:00:00Z</published>
<summary type="text">Adaptive monitoring for multiscale land management: Lessons learned from the Assessment, Inventory, and Monitoring (AIM) principles
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.
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
</summary>
<dc:date>2022-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Monitoring for adaptive management of burned sagebrush-steppe rangelands: addressing variability and uncertainty on the 2015 Soda Megafire</title>
<link href="http://hdl.handle.net/10150/675726" rel="alternate"/>
<author>
<name>Germino, M.J.</name>
</author>
<author>
<name>Torma, P.</name>
</author>
<author>
<name>Fisk, M.R.</name>
</author>
<author>
<name>Applestein, C.V.</name>
</author>
<id>http://hdl.handle.net/10150/675726</id>
<updated>2025-03-09T02:00:32Z</updated>
<published>2022-02-01T00:00:00Z</published>
<summary type="text">Monitoring for adaptive management of burned sagebrush-steppe rangelands: addressing variability and uncertainty on the 2015 Soda Megafire
Germino, M.J.; Torma, P.; Fisk, M.R.; Applestein, C.V.
• Use of adaptive management supported by robust monitoring is vital to solving severe rangeland problems, such as the exotic annual grass invasion and fire cycle in sagebrush-steppe rangelands. • Uncertainty in post-fire plant-community composition and plant response to treatments poses a challenge to land management and research but can be addressed with a high density of observations over short time frames. • The monitoring for adaptive management of the 2015 Soda Megafire area (113,000 Ha) sampled up to 2000 observation plots in each of five post-fire years, and provided important insights on challenges, solutions, and insights that can be applied to monitoring future burned areas. © 2021
</summary>
<dc:date>2022-02-01T00:00:00Z</dc:date>
</entry>
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