Highly distinctive (<i>D1</i>) population abundance estimates calculated from open and closed mark recapture models.

<p>Highly distinctive (<i>D1</i>) population abundance estimates calculated from open and closed mark recapture models.</p

Number of photographic identification surveys, hours in each bay, spinner dolphin encounters in four resting bays along the Kona Coast of Hawai’i Island from September 2010 to August 2011.

<p>Number of photographic identification surveys, hours in each bay, spinner dolphin encounters in four resting bays along the Kona Coast of Hawai’i Island from September 2010 to August 2011.</p

Mark rates and abundance estimates from this study and previous studies.

<p>Mark rates and abundance estimates from this study and previous studies.</p

The combination of bays in which individual spinner dolphins have been sighted from September 2010 to August 2011.

<p>A = Kauhako Bay, B = Honaunau Bay, C = Kealakekua Bay and D = Makako Bay.</p

Map of the study area illustrating the locations of the four spinner dolphin resting bays, Kauhako Bay, Honaunau Bay, Kealakekua Bay and Makako Bay, along the Kona Coast of Hawai’i Island in relation to the other island regions in the Main Hawaiian Islands (inset).

<p>Map of the study area illustrating the locations of the four spinner dolphin resting bays, Kauhako Bay, Honaunau Bay, Kealakekua Bay and Makako Bay, along the Kona Coast of Hawai’i Island in relation to the other island regions in the Main Hawaiian Islands (inset).</p

Frequency of individual spinner dolphin sightings from September 2010 to August 2011.

<p>Frequency of individual spinner dolphin sightings from September 2010 to August 2011.</p

Cumulative discovery curve of highly distinctive (D1) and distinctive (D2) Hawaiian spinner dolphins during 132 photographic identification surveys in the study area (all four bays combined) from September 2010 to August 2011.

<p>Cumulative discovery curve of highly distinctive (D1) and distinctive (D2) Hawaiian spinner dolphins during 132 photographic identification surveys in the study area (all four bays combined) from September 2010 to August 2011.</p

Total numbers of trawl days, hours and individual trawls in the PTF.

<p>*Not all trawl data for calendar year provided. These figures represent the subset subject to analyses, not the annual totals.</p><p>Numbers refer to those conducted by calendar year (January to December) in the Pilbara Trawl Fishery from 2003 until 2009 (source = Department of Fisheries <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0093178#pone.0093178-Department1" target="_blank">[27]</a>).</p

Summary of full models to predict dolphin bycatch by fitting multiple factors for a) skippers' logbook data and b) independent observer data.

<p>Results from binary logistic generalised linear models for predicting the occurrence of dolphin bycatch in the Pilbara Trawl fishery using time of day, net type, vessel and the net type×vessel interaction as predictors from a) skippers' logbook data (number of trawls, n = 27,914) and b) observer data (n = 4,178).</p

Dolphin bycatch rates net type x vessel interaction.

<p>Mean (±1 SE) dolphin bycatch rates illustrating the net type (No BRD vs BRD) x vessel (1-4) interaction based on skippers' logbook data.</p