The effects of sampling in marine surveys on biodiversity estimation · Magnoliophyta Liliopsida...

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GEOSCIENCE AUSTRALIA GA 10-4498 APPLYING GEOSCIENCE TO AUSTRALIA’S MOST IMPORTANT CHALLENGES Hideyasu Shimadzu 1 , Ross Darnell 2 1 Marine and Coastal Environment Group, Geoscience Australia. 2 CSIRO Wealth from Oceans Flagship and CSIRO Mathematics, Informatics and Statistics. Odds Ratio Species 0.849 Magnoliophyta Liliopsida Hydrocharitales Hydrocharitaceae Halophila ovalis 0.841 Magnoliophyta Liliopsida Hydrocharitales Hydrocharitaceae Halophila spinulosa 0.717 Chlorophyta Chlorophyceae Caulerpales Codiaceae Halimeda opuntia 0.701 Rhodophyta Rhodophyceae Rhodophyceae Rhodophyceae Rhodophyceae 0.698 Phaeophyta Phaeophyceae Fucales Sargassaceae Sargassum sp 0.685 Chlorophyta Chlorophyceae Caulerpales Caulerpaceae Caulerpa cupressoides 0.681 Phaeophyta Phaeophyceae Sporochnales Sporochnaceae Sporochnus moorei 0.673 Chlorophyta Chlorophyceae Caulerpales Caulerpaceae Caulerpa sertularioides 0.667 Chlorophyta Chlorophyceae Caulerpales Caulerpaceae Caulerpa taxifolia 0.647 Rhodophyta Rhodophyceae Gigartinales Gracilariaceae Gracilaria 0.642 Chlorophyta Chlorophyceae Caulerpales Codiaceae Halimeda gigas 0.629 Phaeophyta Phaeophyceae Dictyotales Dictyotaceae Padina sp. 0.627 Bryozoa Gymnolaemata Cheilostomata Schizoporellidae Stylopoma spp 0.619 Phaeophyta Phaeophyceae Dictyotales Dictyotaceae Dictyota 0.616 Phaeophyta Phaeophyceae Dictyotales Dictyotaceae Lobophora variegata Odds Ratio Species 0.043 Chordata Actinopterygii Tetraodontiformes Monacanthidae Paramonacanthus otisensis 0.042 Porifera Demospongiae Hadromerida Tethyidae Xenospongia patelliformis 0.042 Chordata Actinopterygii Pleuronectiformes Bothidae Engyprosopon grandisquama 0.041 Echinodermata Echinoidea Clypeasteroida Laganidae Peronella lesueuri 0.041 Arthropoda Crustacea Decapoda Portunidae Portunus granulatus 0.041 Chordata Actinopterygii Perciformes Pomacentridae Pristotis obtusirostris 0.040 Mollusca Gastropoda Sorbeoconcha Buccinidae Phos senticosus 0.036 Arthropoda Crustacea Decapoda Majidae Phalangipus filiformis 0.036 Mollusca Bivalvia Arcoida Limopsidae Lomopsis 0.035 Echinodermata Echinoidea Temnopleuroida Temnopleuridae Temnopleuridae 0.030 Arthropoda Crustacea Decapoda Calappidae Calappa 0.028 Mollusca Bivalvia Arcoida Glycymerididae Melaxinaea vitrea 0.022 Echinodermata Echinoidea Clypeasteroida Laganidae Laganidae 0.018 Mollusca Gastropoda Sorbeoconcha Nassariidae Nassarius conoidalis cf 0.014 Arthropoda Crustacea Decapoda Xanthidae Actumnus squamosus Introduction Scientific marine surveys are necessary tasks to understand biodiversity in marine science. Differences in the collection methods between locations and in the processing of species within a location increase the risk of bias in estimates of biodiversity. Repeat measurements under the exactly same conditions at a site are impractical. A simple conceptual model is proposed reflecting a commonly used sampling process in marine surveys. The analysis highlights the influence that sub-sampling has on the recording of presence of species. The effects of sampling in marine surveys on biodiversity estimation For further information contact: Hideyasu Shimadzu Ph: 02 6249 5842 Email: hideyasu.shimadzu @ga.gov.au www.ga.gov.au References Pitcher R. et al. (2007) Seabed Biodiversity on the Continental Shelf of the Great Barrier Reef World Heritage Area. CSIRO Marine and Atmospheric Research. Great Barrier Reef data Data comprises of 1189 sites where biological and physical variables were measured (Pitcher et al, 2007). The biological outcome variables were presence/absence of a particular species in a benthic sled sample. The physical variables (depth, carbonate, %mud, salinity, moon phase etc) are also given for the sites. Analysis and results To assess the influence of subsampling on species presence/absence, the odds ratio and of each species was investigated between two site groups where sub-sample was taken or not. The nearest two sites taken from each group are matched in the physical space using Euclidian distance. This approach avoids the influences of physical environment on species presence/absence. The calculated odds ratio should be one if there is no influence of subsampling. l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l 0 50 100 150 200 250 300 0.0 0.2 0.4 0.6 0.8 1.0 Species label Odds Ratio Annelida Annelida Arthropoda Crustacea Brachiopoda Brachiopoda Bryozoa Gymnolaemata Bryozoa Stenolaemata Chlorophyta Chlorophyceae Chordata Actinopterygii Chordata Ascidiacea Cnidaria Anthozoa Cnidaria Hydrozoa Echinodermata Asteroidea Echinodermata Crinoidea Echinodermata Echinoidea Echinodermata Holothuroidea Echinodermata Ophiuroidea Foraminifera Foraminifera Magnoliophyta Liliopsida Mollusca Bivalvia Mollusca Cephalopoda Mollusca Gastropoda Phaeophyta Phaeophyceae Porifera Demospongiae Rhodophyta Rhodophyceae Sub-sampling process A conceptual model The Marine Biodiversity Hub is funded through the Commonwealth Environment Research Facilities Program (CERF), administered through the Australian Government’s Department of the Environment, Water, Heritage and the Arts. The key aim of CERF is to provide sound advice to inform environmental public policy objectives and to better the management of Australia’s unique environment. (Our stakeholder partners are: AFMA, APPEA, CFA, DAFF, DEWHA, DAFF, the Tourism CRC, and WWF Australia)

Transcript of The effects of sampling in marine surveys on biodiversity estimation · Magnoliophyta Liliopsida...

Page 1: The effects of sampling in marine surveys on biodiversity estimation · Magnoliophyta Liliopsida Mollusca Bivalvia Mollusca Cephalopoda Mollusca Gastropoda Phaeophyta Phaeophyceae

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4498

APPLYING GEOSCIENCE TO AUSTRALIA’S MOST IMPORTANT CHALLENGES

Hideyasu Shimadzu1, Ross Darnell2

1 Marine and Coastal Environment Group, Geoscience Australia. 2 CSIRO Wealth from Oceans Flagship and CSIRO Mathematics, Informatics and Statistics.

Odds Ratio

Species

0.849 Magnoliophyta Liliopsida Hydrocharitales Hydrocharitaceae Halophila ovalis 0.841 Magnoliophyta Liliopsida Hydrocharitales Hydrocharitaceae Halophila spinulosa 0.717 Chlorophyta Chlorophyceae Caulerpales Codiaceae Halimeda opuntia 0.701 Rhodophyta Rhodophyceae Rhodophyceae Rhodophyceae Rhodophyceae 0.698 Phaeophyta Phaeophyceae Fucales Sargassaceae Sargassum sp 0.685 Chlorophyta Chlorophyceae Caulerpales Caulerpaceae Caulerpa cupressoides 0.681 Phaeophyta Phaeophyceae Sporochnales Sporochnaceae Sporochnus moorei 0.673 Chlorophyta Chlorophyceae Caulerpales Caulerpaceae Caulerpa sertularioides 0.667 Chlorophyta Chlorophyceae Caulerpales Caulerpaceae Caulerpa taxifolia 0.647 Rhodophyta Rhodophyceae Gigartinales Gracilariaceae Gracilaria0.642 Chlorophyta Chlorophyceae Caulerpales Codiaceae Halimeda gigas 0.629 Phaeophyta Phaeophyceae Dictyotales Dictyotaceae Padina sp. 0.627 Bryozoa Gymnolaemata Cheilostomata Schizoporellidae Stylopoma spp 0.619 Phaeophyta Phaeophyceae Dictyotales Dictyotaceae Dictyota 0.616 Phaeophyta Phaeophyceae Dictyotales Dictyotaceae Lobophora variegata

Odds Ratio

Species

0.043 Chordata Actinopterygii Tetraodontiformes Monacanthidae Paramonacanthus otisensis 0.042 Porifera Demospongiae Hadromerida Tethyidae Xenospongia patelliformis 0.042 Chordata Actinopterygii Pleuronectiformes Bothidae Engyprosopon grandisquama 0.041 Echinodermata Echinoidea Clypeasteroida Laganidae Peronella lesueuri 0.041 Arthropoda Crustacea Decapoda Portunidae Portunus granulatus 0.041 Chordata Actinopterygii Perciformes Pomacentridae Pristotis obtusirostris 0.040 Mollusca Gastropoda Sorbeoconcha Buccinidae Phos senticosus 0.036 Arthropoda Crustacea Decapoda Majidae Phalangipus filiformis 0.036 Mollusca Bivalvia Arcoida Limopsidae Lomopsis 0.035 Echinodermata Echinoidea Temnopleuroida Temnopleuridae Temnopleuridae 0.030 Arthropoda Crustacea Decapoda Calappidae Calappa

0.028 Mollusca Bivalvia Arcoida Glycymerididae Melaxinaea vitrea 0.022 Echinodermata Echinoidea Clypeasteroida Laganidae Laganidae0.018 Mollusca Gastropoda Sorbeoconcha Nassariidae Nassarius conoidalis cf 0.014 Arthropoda Crustacea Decapoda Xanthidae Actumnus squamosus

IntroductionScientific marine surveys are necessary tasks to understand biodiversity in marine

science. Differences in the collection methods between locations and in the

processing of species within a location increase the risk of bias in estimates of

biodiversity. Repeat measurements under the exactly same conditions at a site are

impractical. A simple conceptual model is proposed reflecting a commonly used

sampling process in marine surveys. The analysis highlights the influence that

sub-sampling has on the recording of presence of species.

The effects of sampling in marine surveys on biodiversity estimation

For further information contact:Hideyasu Shimadzu Ph: 02 6249 5842

Email: hideyasu.shimadzu @ga.gov.au

www.ga.gov.au

ReferencesPitcher R. et al. (2007) Seabed Biodiversity on the Continental Shelf of the Great Barrier Reef World Heritage Area. CSIRO Marine and Atmospheric Research.

Great Barrier Reef dataData comprises of 1189 sites where

biological and physical variables

were measured (Pitcher et al, 2007).

The biological outcome variables

were presence/absence of a particular

species in a benthic sled sample. The

physical variables (depth, carbonate,

%mud, salinity, moon phase etc) are

also given for the sites.

Analysis and resultsTo assess the influence of subsampling on species presence/absence, the odds ratio and of each species was investigated between two site groups where sub-sample was

taken or not. The nearest two sites taken from each group are matched in the physical space using Euclidian distance. This approach avoids the influences of physical

environment on species presence/absence. The calculated odds ratio should be one if there is no influence of subsampling.

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Annelida AnnelidaArthropoda CrustaceaBrachiopoda BrachiopodaBryozoa GymnolaemataBryozoa StenolaemataChlorophyta ChlorophyceaeChordata ActinopterygiiChordata AscidiaceaCnidaria AnthozoaCnidaria HydrozoaEchinodermata AsteroideaEchinodermata Crinoidea

Echinodermata EchinoideaEchinodermata HolothuroideaEchinodermata OphiuroideaForaminifera ForaminiferaMagnoliophyta LiliopsidaMollusca BivalviaMollusca CephalopodaMollusca GastropodaPhaeophyta PhaeophyceaePorifera DemospongiaeRhodophyta Rhodophyceae

Sub-sampling process

A conceptual model

The Marine Biodiversity Hub is funded through the Commonwealth Environment Research Facilities Program (CERF), administered through the Australian Government’s Department of the Environment, Water, Heritage and the Arts. The key aim of CERF is to provide sound advice to inform environmental public policy objectives and to better the management of Australia’s unique environment. (Our stakeholder partners are: AFMA, APPEA, CFA, DAFF, DEWHA, DAFF, the Tourism CRC, and WWF Australia)