From d37fbdba4d50cdca6ce5ade0ff216a903868a532 Mon Sep 17 00:00:00 2001
From: Wendy Leuenberger <72667641+wleuenberger@users.noreply.github.com>
Date: Fri, 8 Mar 2024 21:43:22 -0500
Subject: [PATCH] Update index.html

Title and journal for Gilbert_etal_2024_Ecol
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@@ -804,7 +804,7 @@ <h1>A century of statistical <i>Ecology</i></h1>
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       <p>
-<strong>Citation</strong> - <a href="https://github.com/n-a-gilbert">Gilbert, N.A.</a>, <a href="https://github.com/br-amaral">Amaral, B.R.</a>, Smith, O.M., <a href="https://github.com/pwilliams0">Williams, P.J.</a>, Ceyzyk, S., <a href="https://github.com/samwiry">Ayebare, S.</a>, <a href="https://github.com/davisk93">Davis, K.L.</a>, <a href="https://github.com/wleuenberger">Leuenberger, W.</a>, <a href="https://github.com/doserjef">Doser, J.W.</a>, <a href="https://github.com/ezipkin">Zipkin E.F.</a> (2024) Deep biogeographic barriers explain divergent global vertebrate communities. <em>Nature Communications</em>. <a href="https://onlinelibrary.wiley.com/doi/10.1002/ece3.8733">DOI: TBD</a>
+<strong>Citation</strong> - <a href="https://github.com/n-a-gilbert">Gilbert, N.A.</a>, <a href="https://github.com/br-amaral">Amaral, B.R.</a>, Smith, O.M., <a href="https://github.com/pwilliams0">Williams, P.J.</a>, Ceyzyk, S., <a href="https://github.com/samwiry">Ayebare, S.</a>, <a href="https://github.com/davisk93">Davis, K.L.</a>, <a href="https://github.com/wleuenberger">Leuenberger, W.</a>, <a href="https://github.com/doserjef">Doser, J.W.</a>, <a href="https://github.com/ezipkin">Zipkin E.F.</a> (2024) A century of statistical <i>Ecology</i>. <em>Ecology</em>. <a href="https://onlinelibrary.wiley.com/doi/10.1002/ece3.8733">DOI: TBD</a>
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       <p>
        <strong>Abstract</strong> - As data and computing power have proliferated in recent decades, statistical modeling has become an important tool for understanding ecological patterns and processes. We showcase 33 influential statistical ecology papers that have been published in Ecology and in so doing comment on the evolution of the field. We anticipate continued growth in statistical ecology to tackle complex analyses.