<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Michael C. Duniway</dc:contributor>
  <dc:contributor>Jason W. Karl</dc:contributor>
  <dc:contributor>Travis W. Nauman</dc:contributor>
  <dc:creator>Nelson G. Stauffer</dc:creator>
  <dc:date>2022</dc:date>
  <dc:description>&lt;p&gt;&lt;strong&gt;On the Ground&lt;/strong&gt;&lt;br&gt;• Adaptive land management requires monitoring of resource conditions, which requires choices about where and when to monitor a landscape.&lt;/p&gt;&lt;p&gt;• Designing a sampling design for a monitoring program can be broken down in to eight steps: identifying questions, defining objectives, selecting reporting units, deciding data collection methods, defining the sample frame, selecting an appropriate design type, deciding stratification and allocation, and identifying the required sampling effort.&lt;/p&gt;&lt;p&gt;• Here, we provide descriptions of each step in the process and identify tools and resources to complete each step.&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.rala.2021.08.005</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>Sampling design workflows and tools to support adaptive monitoring and management</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>