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Research articles

High levels of site fidelity in movement patterns of Southern Rock Lobster (Jasus edwardsii) in Victoria, Australia

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Pages 189-199 | Received 01 Aug 2019, Accepted 25 Oct 2019, Published online: 14 Nov 2019

Figures & data

Figure 1. Movement dynamics of Jasus edwardsii between zones and sub-regions within Victoria, Australia Solid black line represents border between Western and Eastern zones.

Figure 1. Movement dynamics of Jasus edwardsii between zones and sub-regions within Victoria, Australia Solid black line represents border between Western and Eastern zones.

Figure 2. Distance travelled (km) by Jasus edwardsii based on each capture-recature location in Victoria.Numbers above bars reflect recaptures.

Figure 2. Distance travelled (km) by Jasus edwardsii based on each capture-recature location in Victoria.Numbers above bars reflect recaptures.

Figure 3. Distance travelled (km) versus Time-at-large (days) by Jasus edwardsii in Victoria.

Figure 3. Distance travelled (km) versus Time-at-large (days) by Jasus edwardsii in Victoria.

Figure 4. (A–D) Movement patterns of Jasus edwardsii in Victoria by region (A), depth (B) size (C) and sex and reproductive condition (D). Median values are indicated by the horizontal bar; length of the box is the inter-quartile range; whiskers represent quartiles; circles are data points; and diamonds are the mean.

Figure 4. (A–D) Movement patterns of Jasus edwardsii in Victoria by region (A), depth (B) size (C) and sex and reproductive condition (D). Median values are indicated by the horizontal bar; length of the box is the inter-quartile range; whiskers represent quartiles; circles are data points; and diamonds are the mean.

Figure 5. Movement patterns of Jasus edwardsii in Victoria by depth.

Figure 5. Movement patterns of Jasus edwardsii in Victoria by depth.

Table 1. Results from the dredge function assessing the effects of variables on Jasus edwardsii over 5 km.

Table 2. Estimated coefficients (β) and their standard errors (SE) for each variable and factor, t-values of factors included in the top-ranked model (indicated for each variable).

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