Appendix_figures.tex

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\author{}
\date{\vspace{-2.5em}}

\begin{document}

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\hypertarget{appendix-s1-for-fuel-connectivity-burn-severity-and-seedbank-survivorship-drive-ecosystem-transformation-in-a-semi-arid-shrubland.}{%
\section{Appendix S1 for: ``Fuel connectivity, burn severity, and
seedbank survivorship drive ecosystem transformation in a semi-arid
shrubland.''}\label{appendix-s1-for-fuel-connectivity-burn-severity-and-seedbank-survivorship-drive-ecosystem-transformation-in-a-semi-arid-shrubland.}}

-Submitted to \emph{Ecology}

Adam L. Mahood\textsuperscript{1,2,3,\texttt{*}}, Michael J.
Koontz\textsuperscript{2}, Jennifer K. Balch\textsuperscript{1,2,4}

\small

\textsuperscript{1} Department of Geography, University of Colorado
Boulder, Boulder, CO, USA

\textsuperscript{2} Earth Lab, University of Colorado, Boulder, CO, USA

\textsuperscript{3} Agricultural Research Service, United States
Department of Agriculture, Fort Collins, CO, USA

\textsuperscript{4} Environmental Data Science Innovation and Inclusion
Lab, University of Colorado, Boulder, CO, USA

\texttt{*} Corresponding author:
\href{mailto:admahood@gmail.com}{\nolinkurl{admahood@gmail.com}}

\normalsize

\newpage

\newpage

\begin{figure}
\centering
\includegraphics{images/map.png}
\caption{The 2016 Hot Pot Fire. Blue points represent sampling locations
and the shaded color is the burn severity. The checkerboard pattern on
the lower left corresponds to patterns of land ownership.}
\end{figure}

\newpage

\begin{figure}
\centering
\includegraphics{images/seed_counts.png}
\caption{Seed counts by species that occurred more than once. Panel a
shows non-graminoids, b shows graminoids.}
\end{figure}

\newpage

\begin{figure}
\centering
\includegraphics{images/depth_x_burned_counts.png}
\caption{Total seed counts per plot.}
\end{figure}

\newpage

\begin{figure}
\centering
\includegraphics{images/jsdm_stuff.png}
\caption{a) Model convergence diagnostics. On the left is the effective
sample size after adjusting for autocorrelation (ideally 4,000), and on
the right is the Gelman diagnostic, ideally 1. b) Predictor variables
that had at least 80\% support. Variables with 95\% support are outlined
in black. The level of transparency corresponds to the level of support.
c) Variance partitioning by species. Average across all species per
variable is given in the legend. Species are ordered by prevalence.}
\end{figure}

\newpage

\begin{figure}
\centering
\includegraphics{images/revresp1.png}
\caption{Panel a illustrates how we did not find convincing evidence
that pre-fire cheagrass cover alone was predictive of any of the key
components of our hypothesized feedback loop. Panel b shows how even
pre-fire cheatgrass seed counts were not predictive of post-fire seed
counts. Panel c shows the general change in structural composition, from
woody to herbaceous, before and after the fire.}
\end{figure}

\newpage

\begin{figure}
\centering
\includegraphics{images/richness_fig.png}
\caption{Species richness at different sampling times and locations.}
\end{figure}

\end{document}