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    <title>Species at Risk | Poisson Consulting</title>
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    <description>Species at Risk</description>
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      <title>Boreal Caribou and Wood Bison Population Monitoring</title>
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      <pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;&lt;strong&gt;Clients:&lt;/strong&gt; Environment and Climate Change Canada, Province of Alberta&lt;/p&gt;
&lt;p&gt;Reliable estimates of survival and recruitment are essential for managing species at risk, yet the analytical methods have historically been inconsistent across jurisdictions. Poisson Consulting developed two peer-reviewed R package suites to address this gap.&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://poissonconsulting.github.io/bbousuite/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;bbousuite&lt;/a&gt; (Dalgarno et al., 2025, &lt;em&gt;Journal of Open Source Software&lt;/em&gt;) provides a standardized Bayesian workflow for estimating boreal caribou adult female survival and calf recruitment from hunter-based monitoring data. The suite handles common data-quality challenges, including small sample sizes, missing observations, and variable survey effort, and produces the estimates required for federal recovery planning.&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://poissonconsulting.github.io/bisonpicsuite/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;bisonpicsuite&lt;/a&gt; (Hill, Choquette &amp;amp; Kortello, 2025, &lt;em&gt;Journal of Open Source Software&lt;/em&gt;) applies similar principles to estimate wood bison population parameters from remote camera data, building on earlier state-space population modelling of the Mackenzie Wood Bison herd in the Northwest Territories.&lt;/p&gt;
&lt;p&gt;Together, these tools demonstrate how purpose-built, open-source software can improve the consistency and transparency of wildlife monitoring across agencies and jurisdictions.&lt;/p&gt;
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