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Aquatic Environment and Biodiversity Annual Review 2012

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AEBAR <strong>2012</strong>: Marine <strong>Biodiversity</strong><br />

<strong>and</strong> Roberts 2008); MSI’s Seamount Programme, mainly commissioned through public-good science,<br />

supplemented by MPI projects ZBD2000-04, e.g., Rowden et al. 2002 <strong>and</strong> 2003, ZBD2001-10<br />

(Rowden et. al 2004), ZBD2004-01 (Rowden et al. 2010) <strong>and</strong> MPI projects ENV2005-15, ENV2005-<br />

16 (Clark et al. 2010, Rowden et al. 2008) <strong>and</strong> the Ocean Survey 20/20 programme (Clark et al.<br />

2009); inshore surveys of bryozoans at Tasman Bay ZBD2000-03 (Grange et al. 2003); Farewell Spit,<br />

ZBD2002-18 (Battley et al. 2005), Fiordl<strong>and</strong>, ZBD2003-04 (Wing 2005); coralline algae ZBD2001-<br />

05, ZBD2004-07 (Harvey et al. 2005, Farr et al. 2009); soft sediment environments ZBD2003-08<br />

(Neill et al. 2011); rhodolith community study ZBD2009- 03 (Nelson et al. <strong>2012</strong>); offshore surveys of<br />

the Chatham Rise <strong>and</strong> Challenger Plateau funded through Ocean Survey 20/20 programme,<br />

ZBD2006-04 (Nodder 2008) <strong>and</strong> ZBD2007-01 (Nodder et al. 2011; Hewitt et al. 2011; Bowden 2011,<br />

Bowden <strong>and</strong> Hewitt <strong>2012</strong>; Bowden et al. 2011b; Bowden et al. in press).<br />

Research in the Ross Sea Region (BioRoss projects) have also generated records of new species<br />

including MPI projects ZBD2000-02 (Page et al. 2001), ZBD2001-03 (Norkko et al. 2002),<br />

ZBD2002-02 (Sewell et al. 2006, Sewell 2005, 2006), ZBD2003-02 (Cummings et al. 2003, 2006),<br />

ZBD2003-03 (Rowden et al. <strong>2012</strong>a, Rowden et al. in press), ZBD2005-03 (MacDiarmid <strong>and</strong> Stewart<br />

<strong>2012</strong>), ZBD2006-03 (Cummings et al. 2003, 2006; Norkko et al. 2002), ZBD2008-23 (Nelson et al.<br />

2010)<strong>and</strong> IPY2007-01 (Bowden et al. 2011a, Clark et al. 2010, Eakin et al. 2009, Hanchet, et al.<br />

2008a Hanchet 2008b, Hanchet 2008c, Hanchet et al. 2008d. Hanchet 2009, Hanchet 2010, Koubbi et<br />

al. in press, Lörz <strong>and</strong> Coleman 2009, Lörz in press, Lörz et al. in press, Mitchell 2008, O’Driscoll et<br />

al. 2009. O'Driscoll 2009, O’Driscoll, et al. 2010, O’Loughlin et al. 2010)<br />

Habitat diversity, classification <strong>and</strong> characterisation<br />

The development of the Marine <strong>Environment</strong> Classification or “MEC” (Snelder et al. 2006) was an<br />

important step in the delineation of areas with similar environmental attributes in the offshore<br />

environment. However, significant environmental drivers of variability in marine biodiversity, such as<br />

substrate type for seafloor organisms, were absent from the classification. In 2005, DOC <strong>and</strong> MPI<br />

jointly commissioned a project to optimise the MEC using fish distribution data. This project<br />

(ZBD2005-02) demonstrated a substantial improvement in the MEC classification for offshore<br />

habitats (Leathwick et al. 2006a, b, c). In 2006, three projects to map coastal biodiversity were<br />

completed in the Corom<strong>and</strong>el scallop, Foveaux Strait oyster <strong>and</strong> southern blue whiting fisheries as<br />

part of fishery plan development for these fisheries (ZBD2005-04, ZBD2005-15, ZBD2005-16).<br />

These projects found that the biological distribution of organisms <strong>and</strong> their habitats were not well<br />

predicted by the MEC. MPI project (BEN2006-01) aimed to further optimise the MEC by producing a<br />

methodology for a Benthic Optimised MEC (Leathwick et al. 2009).MPI Ecological studies to<br />

improve habitat classification <strong>and</strong> vulnerability indices have also been completed through MPI<br />

AEWG projects on seamounts (ENV2005-15, ENV2005-16) (e.g., Clark et al. 2010), <strong>and</strong> to<br />

supplement other studies funded by MPI, <strong>and</strong> MSI (e.g. ZBD2004-01, ZBD2001-10, ZBD2000-04,<br />

<strong>and</strong> CO1X0508).<br />

Distribution maps providing indicative abundance <strong>and</strong> characterisation of biodiversity are now<br />

emerging <strong>and</strong> have been produced through projects using predictive modelling tools e.g., Compton et<br />

al. <strong>2012</strong>; the fish optimised MEC in project ZBD2005-02 (Leathwick et al. 2006a, 2006b, 2006c), the<br />

benthic optimised MEC (Leathwick et al. 2009) <strong>and</strong> Chatham-Challenger project ZBD2007-01<br />

(Hewitt et al. 2011, Bowden et al. <strong>2012</strong>, Compton et al. in press).<br />

Progress has advanced considerably in recent years with the introduction of the whole-of-government<br />

Ocean Survey 20/20 Programme <strong>and</strong> Biosecurity New Zeal<strong>and</strong> mapping projects (Beaumont et al.<br />

2008, 2010) In addition, MPI implemented spatial management tools (Benthic Protection Areas 54 )<br />

implemented on the basis of the Marine <strong>Environment</strong> Classification 55 56 to address broader statutory<br />

responsibilities on the environmental effects of fishing on biodiversity.<br />

54 www.fish.govt.nz/en-nz/<strong>Environment</strong>al/Seabed+Protection+<strong>and</strong>+Research/Benthic+Protection+Areas.htm<br />

55 Marine <strong>Environment</strong>al Classification. (2005). Can be viewed online at<br />

http://www.mfe.govt.nz/publications/ser/marine-environment-classification-jun05/index.html<br />

252

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