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![Relationships between total abundance of recruits per tile and within‐patch ([A] elevation; [B] distance to reef edge), whole‐patch ([C] area [D] circularity; [E] fractal dimension), and among‐patches ([F] isolation index) attributes at Crookhaven River, Hunter River, and Port Hacking. Dashed regression lines and standard errors (shaded areas) in blue represent those of selected attribute terms (“Attr” in Table 1). Full regression lines and standard errors (shaded areas) represent those of selected interaction terms between estuaries and attributes (“Attr:Es” in Table 1). All x‐axes except for surface elevation are base‐10 logarithmic‐scaled.](publication/379505130/figure/fig3/AS:11431281250199711@1717804996132/Relationships-between-total-abundance-of-recruits-per-tile-and-within-patch-A.png)
Relationships between total abundance of recruits per tile and within‐patch ([A] elevation; [B] distance to reef edge), whole‐patch ([C] area [D] circularity; [E] fractal dimension), and among‐patches ([F] isolation index) attributes at Crookhaven River, Hunter River, and Port Hacking. Dashed regression lines and standard errors (shaded areas) in blue represent those of selected attribute terms (“Attr” in Table 1). Full regression lines and standard errors (shaded areas) represent those of selected interaction terms between estuaries and attributes (“Attr:Es” in Table 1). All x‐axes except for surface elevation are base‐10 logarithmic‐scaled.
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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