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![Relationships between recruitment success variables (left panel: total recruitment on each tile; right panel: percentage of live recruits on each tile) with other abiotic factors (i.e., [A, B] sedimentation rate; [C, D] temperature coefficient of variation; [E, F] 95th‐percentile temperature; [G, H] 5th‐percentile temperature). Full regression lines and standard errors (shaded areas) for each estuary represent significant estuary‐only term (“Es” in Table 3). Dashed regression line and standard errors (shaded areas) in blue represent selected abiotic variable terms (“Abio” in Table 3) from the models.](publication/379505130/figure/fig5/AS:11431281250247590@1717805001822/Relationships-between-recruitment-success-variables-left-panel-total-recruitment-on.png)
Relationships between recruitment success variables (left panel: total recruitment on each tile; right panel: percentage of live recruits on each tile) with other abiotic factors (i.e., [A, B] sedimentation rate; [C, D] temperature coefficient of variation; [E, F] 95th‐percentile temperature; [G, H] 5th‐percentile temperature). Full regression lines and standard errors (shaded areas) for each estuary represent significant estuary‐only term (“Es” in Table 3). Dashed regression line and standard errors (shaded areas) in blue represent selected abiotic variable terms (“Abio” in Table 3) from the models.
Source publication
Understanding how habitat attributes (e.g., patch area and sizes, connectivity) control recruitment and how this is modified by processes operating at larger spatial scales is fundamental to understanding population sustainability and developing successful long‐term restoration strategies for marine foundation species—including for globally threate...
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