CSIRO PUBLISHING
Australian Systematic Botany, 2020, 33, 174–190
https://doi.org/10.1071/SB19005
Biogeographic characterisation of the Austral High Andean
district, Patagonian province, based on vascular plant taxa
Alfredo PadróA, Viviana Hechem A and Juan J. Morrone
B,C
A
Facultad de Ciencias Naturales, Universidad Nacional de la Patagonia San Juan Bosco, Ruta 259 kilómetro 16.41,
9200 Esquel, Chubut, Argentina. Email: padroalfredo@outlook.com; vivianahf03@yahoo.com.ar.
B
Museo de Zoología ‘Alfonso L. Herrera’, Departamento de Biología Evolutiva, Facultad de Ciencias,
Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico.
C
Corresponding author. Email: juanmorrone2001@yahoo.com.mx
Abstract. The Austral High Andean area extends from south-eastern Mendoza, Argentina, to the southernmost tip of
South America in the form of isles on the peaks of the Andes range. The objective of this biogeographic regionalisation study
was to characterise this area. Individual tracks were made on the basis of the distribution maps of 232 species of vascular
plants present in the area, from which localities were identified and georeferenced. A parsimony analysis of endemicity
(PAE) was used to obtain a generalised track. The results support an area of endemism located mainly in the Neuquén
province, which is treated as a district of the Patagonian province that belongs to the Patagonian subregion of the Andean
region. This track analysis is a preliminary contribution for understanding the distributional patterns of the High Andean
biota within an evolutionary biogeographic framework.
Additional keywords: biogeography, distributional patterns; High Andean area, parsimony analysis of endemicity,
track analysis.
Received 24 January 2019, accepted 5 August 2019, published online 5 February 2020
Introduction
Panbiogeography, originally formulated by the Italian botanist
Léon Croizat (1958, 1964), is a historical biogeographic
approach that emphasises the role of location in the history of
life. Croizat (1964) postulated that geographic barriers evolve
alongside biotas, which he summarised with the metaphors ‘Life
and Earth evolve together’ and ‘Space, time, form = biological
synthesis’ (Llorente-Bousquets et al. 2000; Morrone 2004a).
This approach highlights the relevance of the distribution of taxa
in space so as to understand the history of life on earth (Crisci
et al. 2003).
According to Cabrera and Willink (1980), the High Andean
biogeographic province includes the mountain peaks of the
Andean mountain ranges, from Venezuela to Tierra del Fuego
in the southern tip of South America. At tropical latitudes, this
province appears above 4200 m above sea level, but towards the
south it extends to lower altitudes. Around the 34S parallel, it is
found above 3000 m, around the 40S parallel between 1500 and
1000 m, and around the 54S parallel at 500 m. According to the
phytogeographic classification of Cabrera (1976) and Cabrera
and Willink (1980), the High Andean province belongs to the
Andean–Patagonian dominion together with the Patagonian and
Punan provinces. This dominion, which belongs to the
Neotropical region, extends from the mountain peaks of
Venezuela and Colombia, covering the ranges and punas of
Journal compilation Ó CSIRO 2020
Ecuador, Peru, Bolivia and Argentina, and reaching the
Argentinean province of Tierra del Fuego, including the
coastal deserts of Peru and Chile, and the Patagonian steppes
of Neuquén, Río Negro, Chubut and Santa Cruz. More recent
analyses have treated this area as part of the Andean region,
which is closely related to South Africa, Australia, New Zealand
and Antarctica (Morrone 2001, 2006, 2014a, 2015a, 2015b;
Roig-Juñent et al. 2018).
The Andean region (Morrone 1996, 2001) includes the
Patagonian, Subantarctic and Central Chilean subregions and
the South American transition zone. The High Andean areas of
the northern Andes have been assimilated to the Paramo
province, those of the central Andes were assigned to the
Puna province, and those of the southern Andes from central
Argentina have been treated as the Cuyan High Andean province
(Morrone 2015a; Morrone and Ezcurra 2016). Here, we analyse
the southernmost High Andean area, that in Argentina extends
from central Mendoza, widening through the Neuquén, Río
Negro, Chubut and Santa Cruz provinces up to northern
Tierra del Fuego, reaching Chile in the Aysén and Magallanes
regions. High-altitude environments are found as isles in the
mountain peaks of the Andes (Cabrera and Willink 1980). They
are found above the treeline, i.e. the altitude at which trees cannot
grow (Ferreyra et al. 2006), which correlates with the 10C
(54F) warmest-month isotherm (Daniels and Veblen 2003). In
www.publish.csiro.au/journals/asb
Austral High Andean district
the northern Patagonian Andes, around the 40S latitude, the
treeline is found between 1000 and 1500 m (Daniels and Veblen
2003), whereas south of the 50S in southern Santa Cruz and
Tierra del Fuego, it descends to 500 m (Ferreyra et al. 2006). The
treeline is not a continuous horizontal line but rather fluctuates
because of changes in the stability of the ground, like landslides
and avalanches, volcanism and fires, alongside other factors
(Ferreyra et al. 2006). The treeline is composed almost in its
entirety by Krummholz (flag trees) of species of Nothofagus
Blume (Daniels and Veblen 2003).
The High Andean area in the Southern Andes is characterised
by a mountainous relief, with gentle or steep slopes, peaks,
cirques and glacial troughs and plateaus. Soil is rocky or
sandy, usually loose and shallow. Climate is polar (Köppen
Climate Classification ETf), and can experience snow, hail or
frost at any time of the year, has a low relative humidity, a large
diurnal range, fierce winds and high solar irradiance. During
winter, snow accumulation can be over 1 m deep (Ferreyra
et al. 2006). The environment consists of microhabitats with
different environmental conditions, determined by precipitation,
altitude, insolation, soil type, presence of nurse plants and
facing of the slopes. These microhabitats determine a very
high environmental diversity, which has allowed the evolution
and settlement of several species with unique adaptations
(Ferreyra et al. 2006). Over 300 species of vascular plants
have been identified in the area (Correa 1998; Ferreyra et al.
2006). Asteraceae and Poaceae are the best represented families,
whereas Senecio L. and Nassauvia Comm. ex Juss. the best
represented genera. Species belonging to the genus Nassauvia
dominate the coldest, most adverse spots (Ferreyra et al. 2006).
Perennial grasses are the dominant life form in the High Andean
area, followed by subshrubs and shrubs. Perennial grasses are
sparse because of the adverse conditions such as the short growing
season. Most species are dwarf or cushion plants, sometimes
forming woody shrubs compressed against the ground. This
structure appears to be the most suitable to endure extreme
conditions, because it provides protection against dehydration,
solar radiation, wind and snow accumulation. These shrubs trap
heat, moisture and organic matter, playing an important role as
nurse plants by protecting other species that sprout and grow
between their twigs. Most local plants possess highly developed
underground structures, which allows them to grow in unstable
substrates, reach moister soil and store substances used to rapidly
awaken from their dormant state whenever climatic conditions
become favourable (Ferreyra et al. 2006).
The distribution of the High Andean plants is tightly related to
longitude, so there are different species in the eastern-arid and
western-humid areas of the Patagonian Andes (Ferreyra et al.
2006). The eastern mountains usually have a greater species
richness because (1) the characteristic aridity of the mountains,
associated with a pronounced precipitation gradient where
precipitation decreases eastward, allowing the growth of both
xeric and montane species; (2) the eastern mountains have been
ice free for a longer time since the last ice ages and, therefore,
plants have had more time to recolonise them; (3) the snow cover
is thinner and less persistent on the eastern mountains and the
substrate is more disintegrated, providing better conditions for
plant growth; (4) eastern peaks have a higher diversity of
environments, from dry slopes to always humid forest spots,
Australian Systematic Botany
175
whereas western slopes lack extremely arid environments; and
(5) the higher amount of persistent ice or snow covering some
western peaks, on the top of the higher glacial erosion in the past,
reduces the available area for plants.
Currently, there is a growing tourist interest in the montane
environments that is not limited to winters but also in summers,
when vegetation is more vulnerable. It is worth noting that
species that live on the peaks, despite impressive adaptations
to adverse environmental conditions, cannot withstand anthropic
disturbances, and some adaptations, such as morphological traits
or longevity, may become disadvantages in these situations
(Ferreyra et al. 2006). Research has shown that the transit of
humans through areas where some delicate plants grow causes
damage that takes years to recover, or may be even permanent.
Considering the key role of some of these species as nurse plants,
it is easy to imagine that disturbances affect the entire ecosystem,
and that the appropriate sustainable use of these environments is
of great relevance (Ferreyra et al. 2006).
Our objective is to characterise biogeographically the Austral
High Andean biota through the analysis of the distribution of
vascular plants. We want to contribute to the identification of
biogeographic patterns in the High Andean biota and to the study
of its evolutionary biogeographic history.
Materials and methods
Area
The study area includes the geographic areas of the southern
Andean range and adjacent regions between 36 and 55S parallel,
from central Mendoza, widening in the Neuquén, Río Negro,
Chubut and Santa Cruz provinces and reaching Tierra del Fuego
province (in Argentina) and the Aysén and Magallanes regions
(in Chile). Altitudes range from 1500 m in the northern-most
latitudes to 0 m in the southern-most latitudes (Fig. 1).
Taxa
The 381 species of vascular plants present in the area were
analysed, from which 232 containing three or more registered
localities were selected (Appendix 1) and 149 species with two or
fewer localities were excluded. So as to establish the distribution
of the species, data from previous works (Ferreyra et al. 2006;
Hechem et al. 2011) and the revision of works from the
databases of the herbaria BAB, BCRU, CONC, LP, SGO, SI
(Index Herbariorum, see http://sweetgum.nybg.org/science/ih/,
accessed 10 March 2019) were collected. Additionally,
the databases of the Instituto de Botánica Darwinion (http://
www.darwin.edu.ar/Proyectos/FloraArgentina/FA.asp, accessed
20 December 2018) and Flora Patagónica (Correa 1998) were
consulted to add distribution points.
Data analysis
The track analysis developed by Croizat (1958, 1964) aims to
reconstruct the history of biotas. It is essentially a graphical
method, which represents the distribution of a taxon by a map,
where the localities are connected with a line so that the sum of
segments has a minimum distance. The resulting line is called an
individual track. If the individual tracks of different taxa overlap,
they constitute a generalised track indicating the existence of an
ancestral biota, which was fragmented by tectonic and geological
176
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Australian Systematic Botany
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0
0
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100
100
200
200
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35ºS
300
300
400 km
400
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55ºS
75ºW
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73ºW
71ºW
69ºW
67ºW
73ºW
71ºW
69ºW
67ºW
65ºW
65ºW
Fig. 1. Location of the High Andean province in the Patagonian subregion
(grey), based on Cabrera and Willink (1980).
events. When two or more different generalised tracks overlap in
an area, they constitute a node, which is a composite or hybrid
area (Katinas et al. 1999; Crisci et al. 2003).
Localities were georeferenced, maps for each species were
made and the individual tracks were drawn. With the aim of
simplifying the analysis, the area that contained the
georeferenced localities was divided in cells of 1 degree of
latitude by 1 degree of longitude and the cells were numbered
from south to north and from east to west (Fig. 2). Then, the
individual tracks were overlapped with the cells and a data matrix
was built, where the rows and columns represent the cells and the
tracks respectively. The presence of a track in a cell was coded
with a ‘1’ and the absence with a ‘0’ (Morrone 2014b). One row
with all ‘0’ was added to root the cladograms. The resulting
matrix has 197 rows (cells) and 232 columns (species).
Fig. 2. Cells used to build the data matrix for the parsimony analysis of
endemicity.
The matrix (Appendix 2) was analysed with a parsimony
algorithm to generate an area cladogram, based on the taxa shared
by the cells (Morrone, 1994, 2014b). Generalised tracks, which
represent the overlap of multiple individual tracks, can be
observed in the cladogram. This parsimony analysis of
endemicity (PAE) groups areas or localities, on the basis of
the presence of two or more species (Morrone 2014b). The matrix
was analysed with the programs Winclada (ver. 1.00.08,
K. C. Nixon, see http://www.cladistics.com/about_winc.
htm, accessed 10 March 2019) and NONA (ver. 2.0,
P. A. Goloboff, see http://www.cladistics.com/aboutNona.
htm, accessed 10 March 2019). The search strategy to obtain
the most parsimonious-area cladograms was through a tree
bisection and reconnection heuristic search with 10 000
replications.
Austral High Andean district
Australian Systematic Botany
177
cell 123
cell 133
1
cell 143
2
cell 163
3
cell 153
4
cell 144
5
7
cell 154
6
cell 134
8
cell 114
9
cell 124
Fig. 3. Section of the consensus-area cladogram obtained, showing the generalised track. Species in
the nodes and cells are listed in Table 1.
Table 1. Presence, secondary absence (extinction) or presence in two independent areas (disjunct) of species in the nodes and cells of Fig. 3
Node or cell
Presence
Secondary absence
Presence in two independent areas
1
2
17, 59, 118, 122
24, 65, 80, 137, 139, 203, 207, 219, 229
88, 111
–
3
4
21, 23, 49, 87, 140, 178, 180, 209
9, 40, 109, 124, 146, 225
144
19, 166
5
–
21, 23
38, 98, 113, 147, 170, 172, 176, 184, 206
7
56, 75, 77, 90, 97, 161, 186, 201, 205, 214,
224
3, 4, 13, 14, 36, 55, 66, 105, 112, 132, 156,
157, 162, 187, 193, 198, 208
–
5, 44, 91, 92, 101, 134, 166, 171, 175, 183
2, 28, 30, 37, 57, 67, 71, 81, 96, 100, 117, 131,
151, 163, 177, 179, 213
16, 33, 62, 69, 74, 79, 93, 154, 154, 195, 236
29, 64, 70, 72, 82, 84, 104, 119, 135, 143, 150,
190, 191, 197
53, 76, 88, 110, 142, 181, 228
42, 94
8
35, 115, 155, 160
2, 28, 30, 37, 43, 45, 59, 65, 100, 134, 136,
137, 149, 151, 165, 215
87, 140
9
Cell 123
Cell 133
Cell 143
Cell 163
1, 8, 52, 120, 133, 152, 158, 164
–
–
–
–
Cell 153
Cell 144
103, 116, 169, 195, 216
–
Cell 154
85, 129, 199
Cell 134
Cell 114
–
11, 78, 107, 159, 189, 194, 204
Cell 124
–
6
209
43, 45, 149, 167
–
58, 83
2, 5, 24, 34, 45, 65, 80, 134, 139, 163, 167,
203, 207, 219, 229
195
7, 20, 34, 39, 44, 71, 81, 93, 101, 117, 129,
139, 179, 229
16, 32, 49, 62, 73, 79, 88, 150, 180, 209,
232
17, 44, 76, 101, 123
3, 4, 13, 32, 36, 38, 46, 49, 81, 83, 90, 100,
136, 146, 156, 161, 178, 180, 182, 229
59, 119, 215
48, 50, 51, 61, 89, 102, 106, 128, 185, 210,
212, 223
1, 22, 25, 26, 99, 121, 126, 144, 144, 188, 200
31, 38, 113, 119, 188
76, 222
42, 94, 148, 174, 184
–
27, 196
–
27
174
86, 111, 114, 127, 183, 229
31
178
A. Padró et al.
Australian Systematic Botany
Results
The PAE produced 30 area cladograms (Fig. 3), with 1043 steps,
consistency index of 0.22 and retention index of 0.68. The
presence, secondary absence or presence in two independent
areas of the species can be observed in its nodes and terminal
units (Table 1). Secondary absence refers to a species that
became extinct in a particular area, whereas presence in two
independent areas refers to a species that has a disjunct
distribution. Only one generalised track was found (Fig. 4)
which is restricted to the Neuquén province, in the mountain
range near the border with Chile. This generalised track is based
on the individual tracks of the following 13 species: Arenaria
serpens Kunth, Austroblechnum microphyllum (Goldm.) Gasper
75ºW
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0
33ºS
100
200
35ºS
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300
37ºS
400 km
37ºS
& V.A.O.Dittrich, Chaetanthera villosa D.Don, Combera
paradoxa Sandwith, Erigeron schnackii Solbrig, Montiopsis
polycarpoides (Phil.) Peralta, Moschopsis subandina (Speg.)
Dusén, Nastanthus scapigerus (J.Remy) Miers, Noccaea
magellanica (Comm. ex Poir.) Holub, Senecio pachyphyllos J.
Rémy, S. portalesianus J.Rémy, Trisetum barbinode Trin. and
Viola cotyledon Ging.
Discussion
The generalised track obtained corroborates a distributional
pattern previously defined by Hechem et al. (2011) as an
endemic Andean pattern. This generalised track suggests the
existence of a single biotic unit, which is considered herein as a
district within the Andean region, located in the mountain range
of the Neuquén province, Argentina, near the Chilean border. So
as to name this unit, the Austral High Andean district of Cabrera
(1971) is available, although in its present circumscription, it is a
more restricted biogeographic unit. As suggested by Rivas
Martínez (1987) and Cabrera and Yepes (1940), a district has
a moderate extension and is characterised by the existence of
associations and peculiar species missing in nearby areas. The
biogeographic classification of this district is as follows:
*
*
*
39ºS
39ºS
*
*
41ºS
41ºS
43ºS
43ºS
45ºS
45ºS
47ºS
47ºS
49ºS
49ºS
Andean region (Engler 1882).
Patagonian subregion (Lorentz 1876).
Patagonian province (de Mello-Leitão 1939).
Subandean subprovince (Soriano 1950).
Austral High Andean district (Cabrera 1971)
In contrast, this district may be considered as belonging to the
South American transition zone (Morrone 2004b, 2015a, 2018),
as suggested by Roig-Juñent et al. (2018) for the whole
Patagonian province. Further analyses are needed to explore
this alternative hypothesis. A more thorough study should
include taxa of the Neotropical region because of their
possible boreal origin, as well as a thorough revision of the
distributions of the taxa in Chile and field samplings of areas
poorly studied.
Conflicts of interest
The authors declare that they have no conflicts of interest.
Declaration of funding
This research did not receive any specific funding.
51ºS
51ºS
Acknowledgements
53ºS
53ºS
55ºS
55ºS
75ºW
73ºW
71ºW
69ºW
67ºW
65ºW
Fig. 4. Generalised track in the study area, including the Andean region
(Central Chilean, Patagonian and Subantarctic subregions), the Neotropical
region and the South American transition zone, based on Morrone (2014a,
2015a, 2015b).
We thank Cecilia Ezcurra and Adriana Ruggiero for critical comments on a
preliminary version of this work.
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Appendix 1. Geographic distribution of the species analysed
ar, Argentina; ch, Chile
Species
Family
Distribution
1 Abrotanella trichoachaenia Cabrera
2 Acaena antarctica Hook.f.
3 Acaena leptacantha Phil.
4 Acaena macrocephala Poepp.
5 Acaena magellanica (Lam.) Vahl
6 Adenocaulon chilense Hook.
7 Adesmia corymbosa Clos
8 Adesmia glomerula Clos.
9 Adesmia longipes Phil.
10 Adesmia parvifolia Phil.
11 Adesmia retusa Griseb.
12 Agoseris coronopifolia (d’Urv.) D.M.Moore
13 Agrostis inconspicua Kuntze
14 Agrostis meyenii Trin.
15 Anagallis alternifolia Cav.
16 Anemone multifida Poir.
17 Arenaria serpens Kunth
18 Arjona patagonica Hombr. & Jacq. ex Decne.
19 Arjona pusilla Hook.f.
20 Armeria maritima (Mill.) Willd.
21 Astragalus nivicola Gomez-Sosa
22 Astragalus palenae (Phil.) Reiche
23 Astragalus patagonicus (Phil.) Speg.
24 Austroblechnum microphyllum (Goldm.) Gasper & V.A.O.Dittrich
25 Azorella andina (Phil.) Drude
26 Azorella boelckei (Mathias & Constance) G.M.Plunkett & A.N.Nicolas
27 Azorella crassipes Philippi
28 Azorella echinus (DC.) G.M.Plunkett & A.N.Nicolas
29 Azorella lycopodioides Gaudich.
30 Azorella madreporica Clos
31 Azorella microphylla (Cav.) G.M.Plunkett & A.N.Nicolas
32 Azorella monantha Clos
33 Azorella nivalis Phil.
34 Baccharis magellanica (Lam.) Pers.
35 Baccharis nivalis (Wedd.) Sch. Bip. ex Phil.
36 Baccharis obovata Hook. & Arn.
37 Barneoudia major Phil.
38 Belloa nivea (Phil.) M.O.Dillon
39 Berberis empetrifolia Lam.
40 Blumenbachia prietea Gay
41 Bolax gummifera (Lam.) Spreng.
42 Boopis graminea Phil.
43 Bromus setifolius J.Presl.
44 Calandrinia affinis Gillies ex Arn.
45 Calandrinia caespitosa Gillies ex Arn.
46 Calandrinia colchaguensis Barnéoud
47 Calandrinia graminifolia Phil.
48 Calceolaria biflora Lam.
49 Calceolaria filicaulis Clos filicaulis
50 Calceolaria tenella Poepp. & Endl.
51 Calceolaria uniflora Lam.
52 Caltha appendiculata Pers.
53 Caltha sagittata Cav.
54 Cardamine cordata Barnéoud
55 Carex aphylla Kunth
56 Carex atropicta Steud.
57 Carex banksii Boott
58 Cerastium arvense L.
59 Chaetanthera villosa D.Don
Asteraceae
Rosaceae
Rosaceae
Rosaceae
Rosaceae
Asteraceae
Fabaceae
Fabaceae
Fabaceae
Fabaceae
Fabaceae
Asteraceae
Poaceae
Poaceae
Primulaceae
Ranunculaceae
Caryoplyllaceae
Schoepfiaceae
Schoepfiaceae
Plumbaginaceae
Fabaceae
Fabaceae
Fabaceae
Blechnaceae
Apiaceae
Apiaceae
Apiaceae
Apiaceae
Apiaceae
Apiaceae
Apiaceae
Apiaceae
Apiaceae
Asteraceae
Asteraceae
Asteraceae
Ranunculaceae
Asteraceae
Berberidaceae
Loasaceae
Apiaceae
Calyceraceae
Poaceae
Portulacaceae
Portulacaceae
Portulacaceae
Portulacaceae
Calceolariaceae
Calceolariaceae
Calceolariaceae
Calceolariaceae
Ranunculaceae
Ranunculaceae
Brassicaceae
Cyperaceae
Cyperaceae
Cyperaceae
Caryoplyllaceae
Asteraceae
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
(continued next page)
Austral High Andean district
Australian Systematic Botany
181
Appendix 1. (continued )
Species
Family
Distribution
60 Chiliotrichum diffusum (G.Forst.) Kuntze
61 Chloraea alpina Poepp.
62 Chloraea magellanica Hook.f.
63 Clinopodium darwinii (Benth.) Kuntze
64 Colobanthus lycopodioides Gris.
65 Combera paradoxa Sandwith
66 Cortaderia pilosa (d’Urv.) Hack.
67 Deyeuxia erythrostachya Desv.
68 Diplolepis biflora (Phil.) Hechem & C.Ezcurra
69 Diplolepis nummulariifolia (Hook. & Arn.) Liede & Rapini
70 Discaria chacaye (G.Don.) Tortosa
71 Draba gilliesii Hook. & Arn.
72 Empetrum rubrum Vahl ex Willd.
73 Ephedra chilensis C.Presl
74 Epilobium australe Poepp. & Hausskn. ex Hausskn.
75 Epilobium nivale Meyen
76 Erigeron andicola DC.
77 Erigeron cinereus Hook. & Arn.
78 Erigeron gilliesii (Hook. & Arn.) Cabrera
79 Erigeron leptopetalus Phil.
80 Erigeron schnackii Solbrig
81 Erythranthe lutea (L.) G.L.Nesom
82 Escallonia alpina Poepp. ex DC.
83 Euphorbia collina Phil.
84 Euphrasia meiantha Clos
85 Festuca acanthophylla E.Desv. var. acanthophylla
86 Festuca pallescens (St.-Yves) Parodi
87 Gamocarpha alpina (Poepp. ex Less.) H.V.Hansen
88 Gamocarpha selliana Reiche
89 Gamochaeta alpina (Poepp.) S.E.Freire & Anderb.
90 Gamochaeta neuquensis Cabrera
91 Gamochaeta nivalis Cabrera
92 Gaultheria caespitosa Poepp. & Endl.
93 Gaultheria pumila (L.f.) D.J.Middleton
94 Gentiana sedifolia Kunth
95 Gentianella magellanica (Gaudich.) Fabris ex D.M.Moore
96 Geranium sessiliflorum Cav.
97 Grindelia prunelloides (Poepp. ex Less.) A.Bartoli & Tortosa
98 Gunnera magellanica Lam.
99 Gutierrezia baccharoides Sch. Bip.
100 Haplopappus grindelioides (Less.) DC.
101 Hordeum comosum J.Presl
102 Hypochaeris arenaria Gaud.
103 Hypochaeris montana (Phil.) Reiche
104 Hypochaeris tenuifolia (Hook. & Arn.) Griseb.
105 Leucheria glacialis (Poepp. ex Less.) Reiche.
106 Leucheria millefolium Dusén & Skottsb.
107 Leucheria papillosa Cabrera
108 Lobelia oligophylla (Wedd.) Lammers
109 Luzula chilensis Nees & Meyen ex Kunth
110 Luzula racemosa Desv.
111 Marsippospermum grandiflorum (L. f.) Hook.
112 Marsippospermum philippii (Buchenau) Hauman
113 Marsippospermum reichei Buchenau
114 Menonvillea nordenskjoeldii (Dusén) Rollins
115 Menonvillea rigida Rollins
116 Montiopsis cistiflora (Gillies ex Arn.) D.I.Ford
117 Montiopsis gayana (Barnéoud) D.I. Ford
118 Montiopsis polycarpoides (Phil.) Peralta
119 Montiopsis umbellata (Ruiz & Pav.) D.I.Ford
120 Moschopsis caleofuensis (Speg.) Dusén
Asteraceae
Orchidaceae
Orchidaceae
Lamiaceae
Caryoplyllaceae
Solanaceae
Poaceae
Poaceae
Apocynaceae
Apocynaceae
Rhamnaceae
Brassicaceae
Empetraceae
Ephedraceae
Onagraceae
Onagraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Calceolariaceae
Euphorbiaceae
Fabaceae
Calceolariaceae
Poaceae
Poaceae
Calyceraceae
Calyceraceae
Asteraceae
Asteraceae
Asteraceae
Ericaceae
Escalloniaceae
Gentianaceae
Gentianaceae
Gerianiaceae
Asteraceae
Gunneraceae
Asteraceae
Asteraceae
Poaceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Campanulaceae
Juncaceae
Juncaceae
Juncaceae
Juncaceae
Juncaceae
Brassicaceae
Brassicaceae
Portulacaceae
Portulacaceae
Portulacaceae
Portulacaceae
Calyceraceae
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar
(continued next page)
182
A. Padró et al.
Australian Systematic Botany
Appendix 1. (continued )
Species
Family
Distribution
121 Moschopsis rosulata (N.E.Br.) Dusén
122 Moschopsis subandina (Speg.) Dusén
123 Nardophyllum bryoides (Lam.) Cabrera
124 Nassauvia aculeata (Less.) Poepp. & Endl.
125 Nassauvia argentea Phil.
126 Nassauvia argyrophylla Speg. ex. Cabrera
127 Nassauvia darwinii (Hook. & Arn.) Hoffm. & Dusén
128 Nassauvia dentata Griseb.
129 Nassauvia digitata Wedd.
130 Nassauvia glomerata (Gill.) Wedd.
131 Nassauvia lagascae (D.Don) F.Meigen
132 Nassauvia planifolia Wedd.
133 Nassauvia pulcherrima Cabrera
134 Nassauvia pygmaea (Cass.) Hook. f.
135 Nassauvia revoluta D.Don
136 Nastanthus patagonicus Speg.
137 Nastanthus scapigerus (J.Remy) Miers
138 Nicoraepoa andina (Trin.) Soreng & L.J.Gillespie chonotica
139 Noccaea magellanica (Comm. ex Poir.) Holub
140 Ochetophila nana (Clos) J.Kellerm., Medán & Aagesen
141 Olsynium frigidum (Poepp.) Goldblatt
142 Olsynium junceum (E.Meyer ex Presl.) Goldblatt
143 Onuris graminifolia Phil.
144 Oreobolus obtusangulus Gaudich.
145 Oreopolus glacialis (Poepp.) Ricardi
146 Ourisia alpina Poepp. & Endl.
147 Ourisia breviflora Benth
148 Ourisia fragrans Phil.
149 Ourisia ruelloides (L.f.)Kuntze
150 Oxalis adenophylla Gillies ex Hook & Arn.
151 Oxalis erythrorhiza Gillies ex Hook. et Arn.
152 Oxalis magellanica G.Frost.
153 Oxychloë bisexualis Kuntze
154 Patosia clandestina (Phil.) Buchenau
155 Perezia bellidifolia (Phil.) Reiche
156 Perezia capito (Phil.) Reiche
157 Perezia delicata Vuilleumier
158 Perezia fonckii (Phil.) Reiche
159 Perezia lactucoides (Vahl) Less.
160 Perezia linearis Less.
161 Perezia lyrata (J.Rémy) Wedd.
162 Perezia pedicularidifolia Less.
163 Perezia pilifera (D.Don) Hook. & Arn.
164 Perezia prenanthoides Less.
165 Perezia recurvata (Vahl) Less.
166 Pinnasa nana (Phil.) Weigend & R.H.Acuña
167 Plantago barbata G.Forst.
168 Plantago uniglumis Wallr. ex Walp.
169 Poa holciformis J.Presl
170 Poa obvallata Steud.
171 Polygala salasiana Gay
172 Polystichum andinum Phil.
173 Pozoa coriacea Lag.
174 Pozoa volcanica Mathias & Constance
175 Primula magellanica Lehm.
176 Quinchamalium chilense Molina
177 Ranunculus peduncularis Sm.
178 Rhodolirium andicola (Poepp.) Ravenna
179 Rhodophiala mendocina (Phil.) Ravenna
180 Rytidosperma pictum (Nees & Meyen) Nicora
181 Rytidosperma virescens (Desv.) Nicora
Calyceraceae
Calyceraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Calyceraceae
Calyceraceae
Poaceae
Brassicaceae
Rhamnaceae
Iridaceae
Iridaceae
Brassicaceae
Cyperaceae
Rubiaceae
Calceolariaceae
Calceolariaceae
Calceolariaceae
Calceolariaceae
Oxalidaceae
Oxalidaceae
Oxalidaceae
Juncaceae
Juncaceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Loasaceae
Plantaginaceae
Plantaginaceae
Poaceae
Poaceae
Polygalaceae
Aspidiaceae
Apiaceae
Apiaceae
Primulaceae
Santalaceae
Ranunculaceae
Amaryllidaceae
Amaryllidaceae
Poaceae
Poaceae
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
(continued next page)
Austral High Andean district
Australian Systematic Botany
183
Appendix 1. (continued )
Species
Family
Distribution
182 Sanicula graveolens Poepp. ex DC.
183 Saxifraga magellanica Poir.
184 Schoenus andinus (Phil.) H.Pfeiff.
185 Senecio argyreus Phil.
186 Senecio aspericaulis J.Rémy
187 Senecio baccharidifolius DC.
188 Senecio boelckei Cabrera
189 Senecio carbonensis C.Ezcurra, Ferreyra & Clayton
190 Senecio chilensis Less.
191 Senecio chionophilus Phil.
192 Senecio covasii Cabrera
193 Senecio crithmoides Hook. & Arn.
194 Senecio diemii Cabrera
195 Senecio fistulosus Poepp. ex Less.
196 Senecio gilliesii Hook. & Arn.
197 Senecio gnidioides Phil.
198 Senecio hieracium J.Rémy
199 Senecio jobii Cabrera
200 Senecio kingii Hook.f.
201 Senecio linariifolius Poepp. ex DC.
202 Senecio magellanicus Hook. & Arn.
203 Senecio pachyphyllos J.Rémy
204 Senecio parodii Cabrera
205 Senecio peteroanus Phil.
206 Senecio poeppigii Hook. & Arn.
207 Senecio portalesianus J.Rémy
208 Senecio subdiscoideus Sch. Bip. ex Wedd.
209 Senecio subumbellatus Phil.
210 Senecio trifurcatus (G.Forst.) less.
211 Senecio triodon Phil.
212 Silene andicola Gill. ex Hook. et Arn.
213 Silene chilensis (Naud.) Bocquet
214 Silene cuspidata Pedersen
215 Sisyrinchium arenarium Poepp.
216 Sisyrinchium macrocarpum Hieron.
217 Solenomelus segethii (Phil.) Kuntze
218 Symphyotrichum glabrifolium (DC.) G.L.Nesom
219 Trisetum barbinode Trin.
220 Tristagma nivale Poepp.
221 Tristagma patagonicum (Baker) Traub
222 Valeriana boelckei Rossow
223 Valeriana carnosa Sm.
224 Valeriana fonckii Phil.
225 Valeriana macrorhiza DC.
226 Valeriana philippiana Briq.
227 Vicia bijuga Gillies ex Hook. et Arn.
228 Viola columnaris Skottsb.
229 Viola cotyledon Ging.
230 Viola dasyphylla Becker
231 Viola maculata Cav.
232 Weberbauera colchagensis (Barnéoud) Al-Shehbaz
Apiaceae
Saxifragaceae
Cyperaceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Asteraceae
Caryoplyllaceae
Caryoplyllaceae
Caryoplyllaceae
Iridaceae
Iridaceae
Iridaceae
Asteraceae
Poaceae
Alliaceae
Alliaceae
Valerianaceae
Valerianaceae
Valerianaceae
Valerianaceae
Valerianaceae
Fabaceae
Violaceae
Violaceae
Violaceae
Violaceae
Brassicaceae
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar, ch
ar
ar, ch
ar
ar, ch
ar, ch
184
Australian Systematic Botany
A. Padró et al.
Appendix 2. Data matrix for the parsimony analysis of endemicity
Each 0 (absence) or 1 (presence) represents 1 of the 232 species, as per the order listed as in Appendix 1, that are present within the
numbered cells (C1–C196) in Fig. 2 (e.g. only one species, Berberis empetrifolia Lam., is found in cell C193)
Root
00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C1
01001000000000000001000000001000000000001000000000000000110100000000000100000000000000000010100001000000000000001000000
00010000000000000000000010000100000000000000000000000001000000010000000000000000000000000000000000000000000000000
C2
01001000000000000001000000001000000000001000000000000000110100000000000100000000000000000010100001000000000000001000000
00010000000000000000000010000100000000000000000000000001000000010000000000000000000000000000000000000000000000000
C3
00001000000000000001000000001000000000001000000100000000110100000000000100000000000000000010100001000000000000000000000
00010000000000000000000010010000000000000000000000000001000000010000000000000000000000000000000000000000000000000
C4
00001000000000000001000000001000000000101000000100101000110100000010000101000000000000000011101001000000000000000000000
01010000000000000000000010010000000000000000010100001001000000010000000000000000100000000000000000000001000100000
C5
00000000000000000000000000000000010000101000000100000000100100000010000101000000000000000010001001000000000000100000000
01000000000000000000000000000000000000000000000000000000000000011000000000000000000000000000000000000000000000000
C6
00000000000000000000000000000000010000000000000000000000000100000000000000000000000000000010000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C8
01001000000000010001000000001001000000100000000000101000010000010000000100000010000000000001101000000000000000000000000
00010000000000000000000010000100000000000000010100001001000000010000000000000000101000000000000000000001000100000
C9
00001000000000010001010000001000000000000000000100101000110000010010010101000010000000000000101001000000000000100000000
01000000000000000000000000010000000000000000000000001001000001010000000000000000001000000000000000000001000100000
C10
00000000000000000000000000001000010000000000000100001000100100010010000101000010000000000010000001000000000000000000000
01000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C11
00000000000000000000000000000000010000000000000000000000000000000000000000000000000000000010000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C14
01001000000000010001010000000001000000000000000000100000010000000000010000000000000000000000101000000000000000101000000
00000000000000000000000000010100000000000000010100001001000001010000000000000000001000000000000000000001000100000
C15
00001000000000010000000000001000000000000000000100001000100100010010010101000010000000000000101001000000000000100000000
01000000000000000000000000010000000000000000000000001001000000010000000000000000001000000000000000000000000000000
C16
00000000000000000000000000001000010000000000000000001000100100010010000100000010000000000010000001000000000000000000000
01000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C17
00000000000000000000000000000000010000000000000000001000000000000010000000000000000000000010000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C21
01000000000000000001010000000001000000100000000000100000010000000000000000000000000000000001000000000000000000001000000
00010000000000000000000010000100000000000000010100000000000001000000000000000000100000000000000000000001000100000
C22
01001000000000010101000000000000000000000000000100100000010000000000010000000000000000000000101000000000000000101000000
00000000000000000000000000010100000000000000010000001001000001010000000000000000001000000000000000000001000000010
C23
01001000000000010101000000001000000000000000000100100000100100010000010101000010000000000000101001000000000001000000000
01000000000000000000000000010100000000000000000000001001000000010000000000000000001000000000000000000000000000010
C24
0000000000000000000100000000100001000000000000010010100010010001001000010000001000000000001010100100000000000100000
000001000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C25
0000000000000000000100000000100001000000000000010010000000010000000000010000001000000000001010100000000000000000000
000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
(continued next page)
Austral High Andean district
Australian Systematic Botany
185
Appendix 2. (continued )
C26
0000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000010100000000000000000000
000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C27
0000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000010000000000000000000000
000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C28
0000000000000000000101000000000100000010000000000000000000000000000000000000000000000000000100000000000000000000000
000000010000000000000000000010000000000000000000000100000000000000000000000000000000100000000000000000001000000100000
C29
0000000000000000000100000000000100000000000000000000000001000000000000000000000000000000000010000000000000000010100
000000000000000000000000000000000000000000000000010000000000000001000000000000000000000000000000000000000001000000000
C30
0100100001000001010000000000000000000000000000000010000000000000000001000100000000000000000010000000000000000000100
000000000000000000000000000000010100000000000000000000001001000000010000000000000000001000000000000000000001000000010
C31
0100100001000001010000000000000000000000000000000010100010000001001001000100000000000001001000000100000000000100000
000001000000000000000000000000010100000000000000000000001001000000010000000000000000001000000000000000000000000000010
C32
0000000000000000000100000000100001000000000000010110000010010001000000011000001000000001000010100000000000000000010
000001000000000000000000000000000000000000000000000000000000100000001000000000000000000000000000000000000000000000000
C33
0000000000000000000000000000000001000000000000010000000010010000000000000000000000000000000010000000000000000000000
000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000
C35
0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000
C36
0000000000000000000001000000000000000010000010000000000000000000000000000000000000000000000100000000000000000000000
000000010000000000000000000010000000000000000000000100000000000000000000000000000000100000000000000000001000000100000
C37
0000000000000000000100000000000100000000000000000000000001000000000000000000000000000000000010000000000000000010000
000000000000000000000000000000000000000000000000010000000000000001000000000000000000000000000000000000001000000000000
C38
0000000000000000000000000000000000000000000000000000000001000000000001000000000000000001000000000000000000000000100
000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000
C39
0100101001000011011100000000000000000000000000010010100010011100001001011100000001110101001000010100000000000100110
010001000000000000000000001001010100000000000000000010011001110000010000000000000000001000000000000000000000000000010
C40
0100000000000000000100000000100001000000000000010110100010010001000001011000001000000000000000100100000000000000110
000001000000000000000000000000000000000000000000010010000001100000011100000000000000000000000000000000000000000000000
C41
0100000000000000000100000000000001000000000000000000000000010000000000000000000000000000000000000100000000000000010
000000000000000000000000000000000000000000000000000010000001000000010000000000000000000000000000000000000000000000000
C44
0000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C45
0000000000000000000001000001000000000010000000000000000000000000000000001000000000000000000110000000000000000000000
000000010000000000000000001011000000000000000000000100000000000000000000000000000000100000000000000000000100000100000
C46
0000000000000000000000000001000100000000000000000000000000000000000001000000000001000000000010000000000000000010000
000000010000000000000000001011000000000000000000000000000000000001000000000000000000100000000000000000001100000000000
C47
0000000000000000000000000001000000000000000000000000000001000000000001000000000001100001000000000000000000000010000
000000000000000000000000001000000000000000000000010000000000000000000000000000000000000000000000000000000001000000000
C48
0100101001000011011100000001000000000000000010010010000000001100001000011100000000110100001000110100000000000100010
010001000000000000000000001001010100000000000000000110011001110000000000000000000000000000000000000000000001000000010
C49
0100000000000000000100000000100001000000000000000100100010010001000000000000001000000000000000100000000000000000100
000000000000000000000000000000000000000000000000000000000000000000011100000000000000000000000000000000000000000000000
(continued next page)
186
Australian Systematic Botany
A. Padró et al.
Appendix 2. (continued )
C52
0000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000
000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C53
0000000000000000000000000001000001000000000000000000000000000000000000000000000000000000000000000000000000000000000
000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C54
0000000000000000010001000001000001000000000000000000000000000000000000001000000000000000000000000000000000000000000
000000000000000000000000001000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000
C55
00000010000000000101010000010000010000100000000000000000000000000000010010000000010000000001100000000000000000000000
00000000000000000001000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000100000
C56
00000000000000000100000000000001000000000000000000000000000000000000010010000000000000000010000000000000000000000000
0000010000000000001000000011000000000000000000000000000000000001000000000000000000100000000000000000001100000000000
C57
00000010010000000000000000000000000000000010000000000000010000000000000010000000001000010000000000000000000000100000
00000000000000000001010000001000000000000000000010110000000000000000000000000000000000000000000000000000101000000000
C58
01001010010000110111000000000000010000000000100100101000100000010010000111000000000101010010001101000000000001000100
10001000000000000001010001001010100000000000000000110011001110000010000000000000000000000000000010000000001000000010
C59
00000000000000000001000000001000010000000000000001101000100111010000000000010010000000000000000000000000000100001000
00000000001000000000010000000000000000000000000000000000000000000001100000000000000000000000000010000000000000000000
C62
00000000000000000101010000010000000000000000000000000000000000000000000010000000000000000000000000000000000000000000
00000000000000000001000001000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000
C63
00000000000000000001000000000000010000100000000000000000000000000000010000000000010000000000100000000000000000000000
00000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C64
00000010000000000100000000000001010000100000000000000000000000000000000000000000001000000001100000000000000000000000
00000010000000000000000000011000000000000000000000100000000000001000000000000000000100000000000000000001000000100000
C65
00000010010000000111000000000000010000100010100000000000010000000000000010000000001000010000000001000000000000100000
00000000000000000001010000001000100000000000000010110000000000001000000000000000000000000000000000100000101000000000
C66
01001000000000110111000000001000010000000000100100101000100111010010000101000010000101010010001101000000000101000100
10001000001000100001000000000010100000000000000000000011001110000010000000000000000000000000000010000000000000000010
C67
00000000000000000000000000001000000000000000000001000000000100000000000000010010000000000000000000000000000100001000
00000000001000000000000000000000000000000000000000000000000000000001100000000000000000000000000000000000000000000000
C70
00000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
C71
00000000000000000101010000010000000000000000000000000000000000000000000000000000001000000000000000000000000000000000
00000000000000000001000001001000000000000000001000000000000000000000000000000000000000000000000000000000000000000000
C72
00000000000000000001010000000000000000000000000000000000000000000000010000000000011000000000000000000000000000000000
00000000000000000000000001001000000000000000001000000000000000000000000000000000000000000000000000000000000000000000
C73
00000000000000000000010000000001000000000000000000000000000000000000010000000000011000000001100000000000000000000000
00000010000000000001000000011000000000000000000000000000000000000000000000000000000100000000000000000001000000100000
C74
00000010010000000011010000000001010000100010100100000000010000000000000010000000000000010000101001000000000000100000
00000010000000000001010000011000100000000000000000110000000100001000000000000000000100000000000000100000001000000010
C75
01001000000000110100000000001000010000100010000101101000110111010010000101010010000101000010001100000000000101000100
10001000001000100000000000001010000000000000000010000111001010000010100000000000000000000000000010001000101000000010
C76
00000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000001000
00000000000000000000000000000000000000000000000000000000000000000001100000000000000000000000000000000000000000000000
(continued next page)
Austral High Andean district
Australian Systematic Botany
187
Appendix 2. (continued )
C79
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Appendix 2. (continued )
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