Australian macrofungi have wide distributions that …...Australian macrofungi have wide...

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Australian macrofungi have wide distributions that are explained by climate Tom May & Grant Harris Royal Botanic Gardens Melbourne

Transcript of Australian macrofungi have wide distributions that …...Australian macrofungi have wide...

Page 1: Australian macrofungi have wide distributions that …...Australian macrofungi have wide distributions that are explained by climate Tom May & Grant Harris Royal Botanic Gardens Melbourne

Australian macrofungi have wide distributions that are

explained by climate

Tom May & Grant Harris

Royal Botanic Gardens Melbourne

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• What are the patterns of distribution of fungi within Australia?

• What are the determinants of such patterns?

QUESTIONS ABOUT AUSTRALIAN FUNGAL BIOGEOGRAPHY

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• Reviews by Walker (1983: Aust. J. Bot. Supp. Ser. 10; 1996: Fungi Australia 1A)

• Focus on microfungi and continental/regional distributions

• E.g. Gondwan patterns (Cyttaria, Acacia rusts)

BIOGEOGRAPHY OF AUSTRALIAN FUNGI

Acacia rusts •Atelocauda •Ravenelia •Uromycladium

Walker (1996) Fungi of Australia 1A

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Worldwide 382 studies (1933-2012) using herbarium specimens for study of biogeographical patterns or environmental change

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Bryophytes Lichens Seaweeds Fungi

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FUNGI HERBARIUM SPECIMENS UNDER-USED IN BIOGEOGRAPHY

Lavoie (2013) Perspectives in Plant Ecology, Evolution and Systematics 15: 68-76

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• Databasing of herbarium specimens – Australia’s Virtual Herbarium: c. 160,000 records

• Fungimap: >120,000 records, mainly of target species

• Atlas of Living Australia – single portal

ALA: UNPRECEDENTED ACCESS TO POINT DISTRIBUTION DATA

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FUNGIMAP – FOCUS ON TARGET SPECIES

fungimap.org.au

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FUNGIMAP targets

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Amanita xanthocephala – 1793 records

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Broad Mycogeographical Regions

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Proportion of presence in each mycogeographical region

Species AC TT NE SE TAS SW Records

Mycena interrupta 0.00 0.00 0.00 20.13 79.87 0.00 2280

Podaxis pistillaris 93.91 3.26 1.30 1.09 0.00 0.43 460

>50 records co-ord uncertainty < 10 km

ArcGIS 9.3

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DISTRIBUTION PATTERNS 193 species of agarics, puffballs, polypores and false-truffles

Species AC TT NE SE TAS SW Records

Mycena interrupta 0.00 0.00 0.00 20.13 79.87 0.00 2280

Podaxis pistillaris 93.91 3.26 1.30 1.09 0.00 0.43 460

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Centre only

Centre + TT + NE Centre + NE + SE

Montagnea arenaria Schizostoma laceratum

Podaxis pistillaris Battarrea stevenii

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Everywhere

Everywhere (not Centre) +/- TAS

Pycnoporus sanguineus Schizophyllum commune

Coltricia cinnamomea Phaeotametes decipiens

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TT + NE

TT + NE + SE

Gloeophyllum concentricum Trametes mariana

Fomitopsis feei Coriolopsis polyzona

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TT + NE + ?SE

TT + NW + SE + TAS

Microporus xanthopus

Flavodon flavus

McLeay/Macpherson Overlap

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NE + SE n=4

NE + SE + TAS n=9

Microporus affinis Oxyporus cervinogilvus

Dictyopanus pusillus Mycena leaiana

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SE + TAS n=40 SE only n=1

TAS n=45

Marasmiellus affixus Mycena interrupta

Cortinarius chrysocopos Entoloma readiae

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WA + TAS+ SE n=40

WA + TAS + SE + NE n=13

Cortinarius persplendidus Gymnopilus allantopus

Macrolepiota clelandii Mycena austrororida

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• Gaps in data [especially TT and wet tropics of NE]

• Geocode errors [maps assist detection]

• Misidentifications

• Local name traditions [different names across range]

• Uptake of taxonomic revisions

• Omission of synonyms [ALA name service issues]

• Species delimitation [possible cryptic species, need to base on phylogenetic species]

ISSUES

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Cunninghamian Clelandian Cribbean

Biogeographic regions of Australia

Plants Animals

Fungi

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• Most species wide distributions, often spanning E+W or S+N of continent.

• Very few species restricted to one area

• Discrete ‘mycogeographic areas’ that make up broad distributions [big jig-saw pieces]

• Some species span areas of two regions

Mycogeographic regions/areas

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• 400 mm rainfall isohyet important boundary in south

• To the north, same species tend to need higher rainfall

• Distribution patterns not explained by single climate variable

CLIMATE AND DISTRIBUTION PATTERNS

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Environmental Niche Modelling (ENM)

o 78 species o Coordinate uncertainty 1 km o Bioclim climate layers 1-19 [resolution ~ 1km2]

Maxent (ver. 3.3.3)

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Climate Variables

Annual Mean Temperature

Mean Monthly Temperature Range

Isothermality

Temperature Seasonality

Max. Temp. Warmest Month

Min Temp. Coldest Month

Temperature Annual Range

Mean Temp. Wettest Quarter

Mean Temp. Driest Quarter

Mean Temp. Warmest Quarter

Mean Temp. Coldest Quarter

Annual Precipitation

Precipitation of Wettest Month

Precipitation of Driest Month

Precipitation Seasonality

Precipitation of Wettest Quarter

Precipitation of Driest Quarter

Precipitation of Warmest Quarter

Precipitation of Coldest Quarter

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Omphalotus nidiformis

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Mycena interrupta

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Cymatoderma elegans

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Microporus xanthopus

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Podaxis pistillaris

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Importance of climate parameters to Maxent models

Permutation importance (% contribution) after 500 iterations

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Conclusions

• Discrete broad scale distribution patterns identified

• Niche modelling returned very high model confidences – suggesting climate is a strong driver of distribution

• Dispersal out to climate limits, subject to habitat availability

• Mycogeographic provinces similar to zoological and botanical – but no diverse SW area for fungi, and many span MM overlap

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Future Directions

Climate change

Conservation planning

Biogeography •Endemism •Elements •Origins

•Phylogeography

Records

management

Outliers

Cryptic species

Taxonomy- phylogenetic

species

Citizen Science

Population Genetics

DISTRIBUTION

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Acknowledgements

Photographs: Paul George, Geoff Lay, Kevin Thiele

Cybec Foundation (Grant Harris, RBG Melbourne Summer Student)

Fungimappers – for making the observations

ALA – for mobilising the data