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Quarto GHA Workflow Runner committed Feb 5, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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24 changes: 14 additions & 10 deletions _tex/index.tex
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Expand Up @@ -247,22 +247,26 @@ \subsection{Metacommunity model}\label{metacommunity-model}
\endhead
\bottomrule\noalign{}
\endlastfoot
Plant-plant & -1 -- 0 \\
Plant-herbivore & 0 -- 0.1 \\
Plant-carnivore & 0 \\
Herbivore-plant & -0.3 -- 0 \\
Plant-plant & -1.0 -- 0.00 \\
Plant-herbivore & 0.0 -- 0.10 \\
Plant-carnivore & 0.0 \\
Herbivore-plant & -0.3 -- 0.00 \\
Herbivore-herbivore & -0.2-- -0.15 \\
Herbivore-carnivore & 0 -- 0.08 \\
Carnivore-plant & 0 \\
Carnivore-herbivore & -0.1 -- 0 \\
Carnivore-carnivore & -0.1 -- 0 \\
Herbivore-carnivore & 0.0 -- 0.08 \\
Carnivore-plant & 0.0 \\
Carnivore-herbivore & -0.1 -- 0.00 \\
Carnivore-carnivore & -0.1 -- 0.00 \\
\end{longtable}

\(A_{ij}(t)\) is the effect of the environment in patch \(j\) on species
\(i\) at time \(t\) and can be further expanded as follows:

\[
\hat{A}_{ij}(t)=h\times\frac{1}{\sigma\sqrt{2\pi}}\exp-\frac{1}{2}\left(\frac{(E_{j}(t)-H_{i})^2}{\sigma}\right)^2
\]

\begin{equation}\phantomsection\label{eq-metacomm_env}{
A_{ij}(t)=h\left(exp-\frac{(E_{j}(t)-H_{i})^2}{2\sigma^2}-1\right)
A_{ij}(t)= \hat{A}_{ij}(t) - max(\hat{A})
}\end{equation}

Species environmental optima (\(H_i\)) are evenly distributed across the
Expand Down Expand Up @@ -304,7 +308,7 @@ \subsection{Metacommunity model}\label{metacommunity-model}
\bottomrule\noalign{}
\endlastfoot
Plant & 0.3 & 0.075 \\
Herbivore & 0.2 & 0.05 \\
Herbivore & 0.2 & 0.050 \\
Carnivore & 0.1 & 0.025 \\
\end{longtable}

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25 changes: 14 additions & 11 deletions index.html
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Expand Up @@ -199,7 +199,7 @@ <h2 id="toc-title">Table of contents</h2>
<li><a href="#conclusion" id="toc-conclusion" class="nav-link" data-scroll-target="#conclusion"><span class="header-section-number">3</span> Conclusion</a></li>
<li><a href="#references" id="toc-references" class="nav-link" data-scroll-target="#references">References</a></li>
</ul>
<div class="quarto-alternate-notebooks"><h2>Notebooks</h2><ul><li><a href="notebooks/data-screening-preview.html"><i class="bi bi-journal-code"></i>Data Screening</a></li></ul></div></nav>
</nav>
</div>
<div id="quarto-margin-sidebar" class="sidebar margin-sidebar zindex-bottom">
</div>
Expand Down Expand Up @@ -238,48 +238,51 @@ <h3 data-number="2.1" class="anchored" data-anchor-id="metacommunity-model"><spa
<tbody>
<tr class="odd">
<td>Plant-plant</td>
<td style="text-align: center;">-1 – 0</td>
<td style="text-align: center;">-1.0 – 0.00</td>
</tr>
<tr class="even">
<td>Plant-herbivore</td>
<td style="text-align: center;">0 – 0.1</td>
<td style="text-align: center;">0.0 – 0.10</td>
</tr>
<tr class="odd">
<td>Plant-carnivore</td>
<td style="text-align: center;">0</td>
<td style="text-align: center;">0.0</td>
</tr>
<tr class="even">
<td>Herbivore-plant</td>
<td style="text-align: center;">-0.3 – 0</td>
<td style="text-align: center;">-0.3 – 0.00</td>
</tr>
<tr class="odd">
<td>Herbivore-herbivore</td>
<td style="text-align: center;">-0.2– -0.15</td>
</tr>
<tr class="even">
<td>Herbivore-carnivore</td>
<td style="text-align: center;">0 – 0.08</td>
<td style="text-align: center;">0.0 – 0.08</td>
</tr>
<tr class="odd">
<td>Carnivore-plant</td>
<td style="text-align: center;">0</td>
<td style="text-align: center;">0.0</td>
</tr>
<tr class="even">
<td>Carnivore-herbivore</td>
<td style="text-align: center;">-0.1 – 0</td>
<td style="text-align: center;">-0.1 – 0.00</td>
</tr>
<tr class="odd">
<td>Carnivore-carnivore</td>
<td style="text-align: center;">-0.1 – 0</td>
<td style="text-align: center;">-0.1 – 0.00</td>
</tr>
</tbody>
</table>
</div>
</figure>
</div>
<p><span class="math inline">\(A_{ij}(t)\)</span> is the effect of the environment in patch <span class="math inline">\(j\)</span> on species <span class="math inline">\(i\)</span> at time <span class="math inline">\(t\)</span> and can be further expanded as follows:</p>
<p><span class="math display">\[
\hat{A}_{ij}(t)=h\times\frac{1}{\sigma\sqrt{2\pi}}\exp-\frac{1}{2}\left(\frac{(E_{j}(t)-H_{i})^2}{\sigma}\right)^2
\]</span></p>
<p><span id="eq-metacomm_env"><span class="math display">\[
A_{ij}(t)=h\left(exp-\frac{(E_{j}(t)-H_{i})^2}{2\sigma^2}-1\right)
A_{ij}(t)= \hat{A}_{ij}(t) - max(\hat{A})
\tag{2}\]</span></span></p>
<p>Species environmental optima (<span class="math inline">\(H_i\)</span>) are evenly distributed across the entire range of environmental conditions for each trophic level, meaning that species from different trophic levels will be at, or near the same environmental optima. <span class="math inline">\(h\)</span> is a scaling parameter (set to 300), <span class="math inline">\(E_j(t)\)</span> is the environment in patch <span class="math inline">\(j\)</span> at time <span class="math inline">\(t\)</span> and <span class="math inline">\(\sigma\)</span> is the standard deviation (set to 50).</p>
<p><span class="math inline">\(I_{ij}(t)\)</span> is the abundance of species <span class="math inline">\(i\)</span> immigrating to patch <span class="math inline">\(j\)</span> at time <span class="math inline">\(t\)</span> and can be expanded as follows:</p>
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<tr class="even">
<td>Herbivore</td>
<td style="text-align: center;">0.2</td>
<td style="text-align: center;">0.05</td>
<td style="text-align: center;">0.050</td>
</tr>
<tr class="odd">
<td>Carnivore</td>
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