Global Environmental Change 19 (2009) 147–155
Contents lists available at ScienceDirect
Global Environmental Change
journal homepage: www.elsevier.com/locate/gloenvcha
Eastern Himalayan alpine plant ecology, Tibetan ethnobotany, and climate change
Jan Salick a,*, Fang Zhendongb, Anja Byg c
a
Missouri Botanical Garden, PO Box 299, St Louis, MO 63166, USA
Shangri-la Alpine Botanical Garden, Shangri-la, Yunnan, China
c
Systematic Botany, Department of Biology, Aarhus University, Denmark
b
A R T I C L E I N F O
A B S T R A C T
Keywords:
Climate change
Himalayas
Arctic–Alpine
Plant diversity
Sky islands
Tibetan medicine
Tibetan culture and livelihoods depend on native plants for medicine, food, grazing, wood, as well as cash
from market sales. The Medicine Mountains (part of the Hengduan Mountains) of the eastern Himalayas,
with tremendous plant diversity derived from steep gradients of both elevation and precipitation, have
traditionally been an important source of Tibetan medicinal plants. We examine climate change in this
area and vegetation patterns influenced by biogeography, precipitation and elevation (NMS and CCA
ordinations of GLORIA plots). The Alpine environment has the highest plant diversity and most useful
plants and is the most susceptible to climate change with impacts on traditional Tibetan culture and
livelihoods—particularly Tibetan medicine and herding.
ß 2009 Published by Elsevier Ltd.
1. Introduction
After the Polar regions, Alpine environments are amongst those
most affected by global climate change (Kullman, 2004). Global
warming was detected early due to Alpine glacial and meteorological measurements dating back as far as the 19th century
(Barry, 1992; Haeberli et al., 1996). In the eastern Himalayas, early
plant explorers took high quality photographs of glaciers that show
glacial retreats of more than 1 km during the last century (Moseley,
2006). Elevational advances in tree and shrub line in the 1930s and
1940s added data to an accruing scenario (Parmesan, 2006). Now,
treeline advance has been reported worldwide (Bulgaria: Meshinev et al., 2000; Urals: Moiseev and Shiyatov, 2003; Scandes:
Kullman, 2002, 2003; North America: Sturm et al., 2001; New
Zealand: Wardle and Coleman, 1992; and again, see Moseley, 2006
for repeat photograph evidence from the eastern Himalayas).
Predicted extinctions of montane populations of animals and
plants have drawn further attention to the plight of alpine species
(Thomas et al., 2004; Thuiller et al., 2005; Parmesan, 2006).
Climate warming has now reached a level where substantial
ecological impacts can be easily detected in alpine and arctic
environments around the world (Kullman, 2004).
Cold-adapted alpine species are stressed by climate warming,
and more importantly, must compete with species from lower
elevations extending their ranges upward. On mountains around
the world, increasing temperatures force alpine plants to migrate
upwards until they reach the highest elevations (summit trap
* Corresponding author. Tel.: +1 314 577 5165; fax: +1 314 577 0800.
E-mail address: jan.salick@mobot.org (J. Salick).
0959-3780/$ – see front matter ß 2009 Published by Elsevier Ltd.
doi:10.1016/j.gloenvcha.2009.01.008
phenomenon, e.g., Pertoldi and Bach, 2007). Mountain ranges,
where large numbers of endemic plants are distributed, are very
likely to suffer critical species losses (Theurillat and Guisan, 2001;
Halloy and Mark, 2003; Pauli et al., 2003; Pickering and Armstrong,
2003). Climate-induced differential migration rates could lead to
the formation of new plant assemblages and result in changes in
ecosystem functioning (Root et al., 2003). Increased competition
and new plant assemblages in alpine areas are evidenced by
increases in alpine species richness reported from the Alps (Hofer,
1992; Grabherr et al., 1994, 2001; Pauli et al., 2001; Bahn and
Körner, 2003) and from Scandinavia (Klanderud and Birks, 2003).
The increased competition and new plant assemblages are
presumed to be harbingers of resultant alpine plant extinctions.
Thus, alpine vegetation and species distributions respond to
climate change despite the long-lived and slow-growing nature of
alpine plants.
Alpine plant diversity is higher than the global average (Körner,
1999; Väre et al., 2003). Indeed, our own studies in the eastern
Himalayas (Salick et al., 2004) confirm that the highest plant
diversity and richness is found in Alpine environments between
4200 and 4500 m. Furthermore, useful plants (e.g., Tibetan
medicines, non-timber products, traditional foods, fodder, etc.)
are most abundant in Alpine meadows. As a result, climate change
that threatens alpine plants, also impacts a significant portion of
earth’s biodiversity and of biodiversity useful to humans.
Climate models for China present ominous results; for example,
nival areas are shown to have decreased rapidly since 1960 and are
predicted at present rates to disappear in 159 years (Yue et al.,
2005). Most recently, the Intergovernmental Panel on Climate
Change (IPCC, 2007, http://www.ipcc.ch) released reports including projections for climate change in the Himalayas with high
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J. Salick et al. / Global Environmental Change 19 (2009) 147–155
model agreement for temperature increases of 5–6 8C and
precipitation increases of 20–30%. These are some of the most
drastic climate changes in the world after the Polar Regions.
Reports (Cyranoski, 2005) from the Himalayas suggest that with
climate warming and glacial melting the livelihoods of millions of
ethnic peoples are severely threatened.
To monitor the effects of this climate change on Himalayan
plant populations and communities, we have joined the Global
Observation Research Initiative in Alpine Environments (GLORIA,
see http://www.gloria.ac.at). Responding to the increasingly
apparent ecological impact of climate change in alpine environments, GLORIA developed a long-term observation strategy for
documenting biodiversity and habitat changes, and also for
verifying models and assessing risks. The GLORIA network was
established in response to numerous research recommendations
(e.g., Messerli and Ives, 1997; EEA, 1999; Heal, 1999; Becker and
Bugmann, 2001; Körner and Spehn, 2002; Price and Neville, 2003).
Launched in 2001, GLORIA has made great progress towards
implementing a standardized alpine long-term observation network on the global scale. To date, our studies include the
establishment of baseline data sets for climate change monitoring.
To GLORIA’s ecological mandate, we have added Ethnobotany to
ask, ‘‘What are the human impacts of climate change in the
Himalayan Alpine?’’ As noted above, useful plants are most
abundant in the Alpine (Salick et al., 2004). Furthermore,
traditional Tibetan medicine includes many Alpine plants (Salick
et al., 2006) and traditional Tibetan land use depends on Alpine
meadows for grazing (Salick and Yang, 2005). This would suggest
that climate change threatens not only alpine plant diversity but
also Tibetan peoples and their traditional ways of life.
2. Methods
2.1. Sites
Three sites in the easternmost Himalayas were sampled within
northwest Yunnan Province, China (Fig. 1). At each site, we sought
to identify representative summits in four relative elevation
classes (summit elevations: 1 = lowest summit, 4 = highest summit in region) between 4000 and 5000 m:
A. Da Xue Shan, near the Yunnan-Sizhuan border, including three
separate summits:
1. 47 R 0579-623 E, 316-0964 N, 4461 m, rhododendron shrub,
2. no summit available,
3. 47 R 0583-142 E, 316-1361 N, 4676 m alpine meadow and
dwarf rhododendron shrub,
4. 47 R 0584-853 E, 316-3650 N, 4858 m scree.
Fig. 1. Mountain ranges sampled: (A) Ma Ji Wa; (B) Ruizila; (C) Da Xue Shan. Monsoons come from the Indian Ocean to the southwest producing more precipitation by
orographic lifting in the mountains first encountered (thus precipitation of Ma Ji Wa (A) > Ruizila (B) > Da Xue Shan (C)).
J. Salick et al. / Global Environmental Change 19 (2009) 147–155
149
Fig. 2. GLORIA sampling components: (A) Selection of appropriate mountain summit; (B) sinking permanent markers for future resampling; (C) intensive sampling of 1 m2
plots subdivided into 10 cm 10 cm squares in which species, frequencies, and cover are tallied; (D) Tibetan doctor (left) is interviewed by first author (right); (E)
temperature datalogger is buried 10 cm in center of 3 m 3 m quadrats; and (F) team pressing plant voucher specimens in herders’ hut at night.
B. Ruizila northeast and above the town of Deqin, including four
separate summits:
1. 47 R 0494-118 E, 315-1637 N, 4478 m, just above tree line,
shrub,
2. 47 R 0495-019 E, 315-0888 N, 4550 m, alpine meadow,
3. 47 R 0494-980 E, 315-0351 N, 4668 m gravel,
4. 47 R 0495-743 E, 315-2289 N, 4906 m scree.
C. Ma Ji Wa north of Weixi, between Mekong and Salween River,
including 4 separate summits:
1. 47R 0493-143 E, 306-9979 N, 4118 m, just above tree line,
rhododendron shrub,
2. 47R 0490-317 E, 306-9245 N, 4236 m, alpine meadow and
shrub,
3. 47R 0494-252 E, 307-0917 N, 4354 m, alpine meadow and
dwarf shrub,
4. 47R 0494-532 E, 307-4267 N, 4548 m, scree.
2.2. Sampling
Sampling design followed the Global Observation Research
Initiative in Alpine Environments (GLORIA) protocol (Fig. 2; see
http:\\www.gloria.ac.at for publication of methodology). Four
summits (Fig. 2a) were chosen along an elevational gradient
between treeline and permanent snowline at ecotones: subalpine-lower alpine, lower alpine-upper alpine, upper alpinesubnival, and subnival–nival. Each summit was divided into
eight sections facing the cardinal directions (N, S, E, W; Fig. 2b)
with four sections ranging from the summit down 5 m in
vertical elevation and another four sections ranging from 5 to
10 m vertical elevation. Within summit sections, species were
recorded and cover was categorized. At the cardinal direction
corners down 5 m elevation from summits, a cluster of four 1 m2
plots (at the corners of a 3 m 3 m grids with temperature data
loggers buried 10 cm in the middle) were intensively sampled in
10 cm 10 cm grids (Fig. 2c). Sampling included data on
species, frequencies, and cover estimates. Environmental data
– latitude, longitude, elevation, aspect, precipitation, temperature (Fig. 2e; Onset StowAway TidbiT Temperature Loggers
record hourly data) – were collected using GPS units, altimeters,
compasses, temperature loggers, and data from nearby govern-
ment weather stations (Shangri-la for Da Xue Shan, Deqin for
Ruizila, and Weixi for Ma Ji Wa from which data on total annual
precipitation were used for available years 1988, 1989, and
1996). Plant voucher specimens (Fig. 2f) were deposited at
Missouri Botanical Garden and Shangri-la Botanical Garden
identified in reference to the Flora of China (Wu and Raven
(Eds.), 1985-continuing and http://mobot.mobot.org/W3T/
Search/FOC/projsfoc.html).
In addition to this standard GLORIA sampling, this study was
carried out in collaboration with Tibetan doctors and with
reference to literature on Tibetan useful plants (Yang, 1987–
1989). After obtaining prior informed consent from the Tibetan
doctors, specific plant uses and general information on habitat uses
were recorded for each species and summit respectively (Fig. 2d).
These ethnobotanical data entered analyses along with the
vegetation data. Traditional Tibetan religious ceremonies were
performed by the accompanying doctors as prescribed to receive
permission from Tibetan gods to enter sacred spaces and to collect
voucher specimens.
2.3. Analyses
PC-Ord (McCune and Grace, 2002) was used to order data by
similarity using Sorensen index of similarity and both non-metric
multidimensional scaling (NMS without environmental data) and
canonical correspondence analysis (CCA with environmental data).
3. Results
3.1. Non-metric multidimensional scaling
NMS produces high cumulative correlations between ordination distances and distances in the original n-dimensional space
for the first two axes (Table 1) and orders both summit sections
and quadrats similarly whether based on species (presence–
absence), frequencies, or cover (Fig. 3a and b: only 2 of the
comparable 5 ordinations are presented). Primarily, vegetation is
distinguished by sites (ovals A, B, and C in figure) and less so by
summits. However, similarity among sites and summits is most
notable at the highest subnival sites (dashed ovals on ordina-
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J. Salick et al. / Global Environmental Change 19 (2009) 147–155
Table 1
Vegetation similarities of eastern Himalayan peaks (4000–5000 m) ordered by non-metric multidimensional scaling (NMS) and canonical correspondence analysis (CCA):
statistical results.
Sample
Data type
Units
NMS r2 (%)
CCA % variation
Axis 1 r2 (%)
p
Axis 2 r2 (%)
p
Quadrat
Quadrat
Quadrat
Summit section
Summit section
Species
Frequency
Cover
Species
Cover
Presence–absence
Counts
%
Presence–absence
%
60
67
50
58
36
8
6
7
15
9
96
91
90
99
95
0.001
0.001
0.001
0.001
0.001
89
87
87
95
93
0.001
0.001
0.001
0.001
0.001
NMS r2 = cumulative correlation for axes 1 and 2 (%); CCA r2 = axis species-environment correlation (%); p = Monte Carlo test, 999 runs (proportion of randomized runs with
species-environment correlation greater than or equal to the observed); bolded samples and data presented in Fig. 3.
tions). Thus, geography defines Alpine vegetation except at the
highest subnival summits.
3.2. Canonical correspondence analysis
CCA with the ordination of samples and species constrained by
their relationships to environmental variables – predominantly
elevation and precipitation – produces significant axis correlations
(Table 1, Fig. 3c and d). However, little of the variation is explained
by environmental data (maximally, in the summit sections, 15% of
species presence–absence is explained by environmental data).
3.3. Useful Tibetan plants
These plants (predominantly medicinal plants) are present in
proportion to overall species richness with an average of 61%
useful species (Fig. 4). Overall, species richness declines with
elevation from the lowest summits (summits 1 from 4118 to
4478 m) to the highest summits (summits 4 from 4548 to 4858 m)
but the proportion of useful plants stays approximately constant.
Additionally, Tibetan doctors relate that they are trained to go
to the mountains for one month per year to collect medicinal
plants. Alpine environments are vital for the collection of
Fig. 3. Ordinations of cover and frequency data from 1 m2 quadrats: (A) NMS ordination of species; (B) NMS ordination of frequency data; (C) CCA ordination of species; (D)
CCA ordination of frequency data. The NMS ordinations show the predominance of geography in determining plant composition, except for the central dashed ovals that show
a similarity among sites at the highest subnival sites. The CCA ordinations show that environmental data, especially elevation and precipitation, also explain Alpine vegetation
composition and also show the similarity among sites at the highest subnival sites. Symbols: relative locations of sites within Northwest Yunnan, China—Red A: Da Xueshan
(northeast with least rain), Green B: Rizila (northwest with intermediate rainfall), and Blue C: Ma Ji Wa (southwest most rain); relative elevations of summits within sites—&
lowest summit quadrats from 4118 to 4478 m, + low-intermediate summit quadrats from 4236 to 4550 m, high-intermediate summit quadrats from 4354 to 4676 m, and
& highest summit quadrats from 4548 to 4906 m (just subnival). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version
of the article.)
J. Salick et al. / Global Environmental Change 19 (2009) 147–155
Fig. 4. Useful plant species, predominantly Tibetan medicines, represent 61% of all
species. This percentage of useful plants is constant regardless of elevation (summit
elevations: summits 1 (lowest) = 4118 to 4478 m; summits 2 = 4236 to 4550 m;
summits 3 = 4354 to 4676 m; and summits 4 (highest) = 4548 to 4906 m) although
total species decrease with elevation.
traditional Tibetan medicines. Alpine meadows are also very
important for yak grazing but this study, in compliance with
GLORIA requirements, includes sites with least disturbance, thus
excluding grazing areas; nonetheless, grazing represents an
important use of alpine meadows that might be affected by
climate change.
4. Discussion
Vascular plant communities at the elevational limit of plant life
are unique (Pauli et al., 1999). Within the Alpine vegetation of the
eastern Himalayas, only this very highest subnival–nival ecotone
shows an extended geographic distribution, corresponding to
extensive ‘‘Arctic–Alpine’’ plant distributions described by Dwight
Billings (see Caldwell, 1997). Unfortunately, with climate change,
these more widespread plants are often caught in ‘‘summit traps’’:
as species inhabiting mountain summits are forced to move to
higher elevations with temperature increase, they have no escape
route and may become locally extinct (e.g., Pertoldi and Bach,
2007).
Below this highest alpine vegetation zone in the eastern
Himalayas, geography, elevation (temperature) and precipitation
are the main variables determining alpine plant distributions. Such
geographically limited species are subjected to isolation imposed
by ‘‘sky islands’’ (Heald, 1967)—high mountain ecosystems which
are spatially isolated from one another by elevation, as island
groups are by water. With their limited geographic range, endemic
species of sky islands are particularly susceptible to climate change
(e.g., Kupfer and Balmat, 2005). Elevationally determined species
ranges, as found here and previously (Salick et al., 2004), have been
shown to change with climate change (Grabherr et al., 1994).
Precipitation is expected to increase by 20–30% in the Himalayas
(IPCC, 2007), so species ranges that depend on precipitation are
also expected to change considerably. Since these three factors –
geography, elevation and precipitation – are acting in concert to
determine Alpine vegetation distribution and since climate change
has large effects either on or together with each factor, there seems
little doubt that climate change will have equal or greater effects
on Himalayan Alpine vegetation than those found elsewhere.
Additionally, these effects will be exacerbated by the fact that
some of the greatest effects of climate change are found in the
Himalayas (Cyranoski, 2005) including a predicted temperature
rise of 5–6 8C (IPCC, 2007).
151
To draw a parallel, vegetation at a GLORIA mastersite in the Alps
(Pauli et al., 2007) shows increases of species richness of about 12%
in only 10 years, with presumably concomitant increases in
competition. The species that decline in cover are all common nival
plants (which seem to have been caught in a ‘‘summit trap’’).
Interestingly, increasing cover was most noticeable in an alpine
pioneer species. Rapid growth rates and production of large
amounts of small, easily dispersed seeds – characteristics of
pioneer species that suit their role in early succession – may preadapt pioneers to take advantage of climate change by facilitating
rapid upward movement. If these trends are indicative of
Himalayan patterns, we may expect the demise of some of the
most threatened, slow growing, endemic plants (e.g., the Snow
Lotus; Law and Salick, 2005) and increases of the most common
‘‘weedy’’ species which would further threaten one of the
biodiversity hotspots of the world (Mackinnon et al., 1996;
Mittermeier et al., 1998).
A high proportion of eastern Himalayan alpine biodiversity is
useful (at least 61% on average)—predominantly Tibetan medicines. However, Tibetan medicines are already threatened by
overharvest (Law and Salick, 2006). Additional threats posed by
climate change to these plants and their alpine habitats could be
the final straw. We have promoted the recognition of Tibetan
sacred space for potential conservation of Tibetan medicinal and
other threatened endemic plants (Anderson et al., 2005; Salick
et al., 2007). Although sacred space may offer protection from
rampant commercial collection for newly emerging Chinese and
international markets for traditional medicines, sacred space offers
no protection from global warming—as attested by the melting
snows and retreating glaciers of Tibetan sacred mountains
(Moseley, 2006). Tibetan doctors recount the tradition of yearly
collecting expeditions to the Himalayas to renew their stocks of
medicine. However, if climate change poses the threats to alpine
plants, including Tibetan medicines, as suggested above (Snow
Lotus, for example is a highly popular medicinal plant), what is the
future of Tibetan medicine, a very fundamental component of
Tibetan livelihoods, culture and religion? Cultivation of Tibetan
medicines has only limited success for a few species; and high
alpine plants, in particular, are notoriously difficult to cultivate.
This situation will be made more difficult by increasing
temperatures. Only immediate actions to reduce carbon emissions
on an international scale can fend off the effects of climate change.
Like the Alps, the Andes, and most of the world’s mountains,
grazing is a primary component of traditional montane livelihoods.
The difference in Tibet, of course, is that grazing is done much
higher and by Yaks (Salick and Yang, 2005). Now, with climate
change, trees and shrubs are moving into higher elevation and
taking over alpine meadows traditionally used for grazing. With
climate change what is the future of alpine yak grazing, so
fundamental to Tibetan livelihoods, culture and religion? However, even considering medicines and grazing, we are not
beginning to understand how climate change impacts Tibetans.
To plumb Tibetan perceptions of climate change we must go to the
local people themselves, which we do in the following article (Byg
and Salick, 2009).
Ultimately, traditional peoples – in this case Tibetans, doctors
and local people – have much to offer the discourse on and actions
countering climate change. Indigenous peoples have traditional
knowledge on how to live carbon neutral, indeed carbon negative
livelihoods. In the eastern Himalayas, Tibetans release minimal
amounts of carbon to the atmosphere, they afforest their lands, and
they accumulate organic mater in their soils. Indigenous peoples
offer local observations and techniques for adapting to and
mitigating climate change. Indigenous peoples must exercise
self-determination and be empowered to deal with climate change
that threatens their traditional livelihoods, indeed their very
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J. Salick et al. / Global Environmental Change 19 (2009) 147–155
existence. Integration and feedback loops between climate change
science and indigenous peoples must be established and
employed. We can and should gain knowledge from each other
and support each other in action to counter climate change (Salick
and Byg, 2007).
Acknowledgements
Financial support for research comes from the Ford Foundation,
the National Geographic Society, and The Nature Conservancy.
GLORIA provides both infrastructural and technical support, as
well as friendship. Institutional support is provided by the Shangrila Alpine Botanical Garden, the Kunming Institute of Botany, the
Missouri Botanical Garden and the Environmental Change Institute
of Oxford. Fellowship funding is received from the Christensen
Fund (to JS) and the Danish Research Council (to AB). The fieldwork
was inestimably aided by the research team of the Shangri-la
Alpine Botanical Garden.
Appendix A. Appendix A
Plant species in 1 m 1 m quadrats and summit sections. Region
names: A = Da Xue Shan, B = Rizila, C = Ma Ji Wa; Summit elevations:
1 = lowest summit, 4 = highest summit in region.
Species
Occurrence (region +
summit elevation)
Abies ernestii Rehder
Abies georgei Orr
Abies sp. Mill.
Achania sp. Sw.
Agrostis sp.1 L.
Agrostis sp.2 L.
Agrostis sp.3 L.
Agrostis sp.4 L.
Agrostis sp.5 L.
Aletris pauciflora (Klotz.) Franch.
Allium forestii Diels
Allium prattii C.H. Wright
Allium sp.1 L.
Allium sp.2 L.
Allium sp.3 L.
Alnus sp. Mill.
Anaphalis flavescens Hand.-Mazz.
B1
A1, C1
B1
C1
A3, A4
B1, B2, B3, B4
B2
B3
C1, C2
B2, C1, C2, C3
A3, B2
A3, A4
A3, A4
B2, B3, B4
C3
C1
A1, A4, B3, B4,
C1, C2, C3, C4
C1
Anaphalis nepalensis (Spreng.)
Hand.-Mazz.
Anaphalis sp.1 DC.
Anaphalis sp.2 DC.
Anaphalis sp.3 DC.
Androsace delavayi Franch.
Androsace rigida Hand.-Mazz.
Androsace sp.1 L.
Androsace sp.2 L.
Androsace sp.3 L.
Androsace spinulifera (Franch.)
R. Knuth
Anemone delavayii Franch.
Anemone demissa Hook.
f. & Thomson
Anemone obtusiloba D. Don
Anemone sp.1 L.
Anemone sp.2 L.
Apiaceae sp.1 Lindl.
Apiaceae sp.2 Lindl.
Apiaceae sp.3 Lindl.
Apiaceae sp.4 Lindl.
Arenaria barbata Franch.
Arenaria brevipetala
Y.W. Cui & L.H. Zhou
Arenaria forestii Diels
Arenaria polytrichoides
Edgew. ex. Edgew. & Hook. f.
A1, A2, A3, A4
B1, B2, B3, B4
C3
A3, A4, B2, B3,
B4, C2, C3, C4
C2
A4
B1
C1, C2, C3
B1
A3
A1, A3, B1, B3, C1
B2, B3, C2, C3
A1
B1
B2
A1, A3, A4
B1, B2, B3
C1, C2, C3, C4
A3, B3, B4, C2, C3
A4
A4
A3, A4, B2, B3,
B4, C2, C3, C4
Appendix A (Continued )
Species
Occurrence (region +
summit elevation)
Arenaria sp. 4 L.
Arenaria sp.1 L.
Arenaria sp.2 L.
Arenaria sp.3 L.
Aster diplostephioides (DC.) C.B. Clarke
Aster sp. L.
Astragalus sp. L.
Berberis dictyophylla Franch.
Bergenia purpurascens
(Hook. f. & Thomson) Engl.
Betula sp. L.
Boschniakia himalaica Hook. f. & Thomson
Boschniakia sp. C.A. Mey. ex Bong.
Botrychium lunaria (L.) Sw.
Cacalia sp. L.
Caprifoliaceae sp. Juss.
Cardamine hirsuta L.
Cardamine sp. L.
Carex sp.1 L.
Carex sp.2 L.
Carex sp.3 L.
Carex sp.4 L.
Cassiope pectinata Stapf
Cassiope selaginoides Hook. f. & Thomson
Cassiope sp.1 D.Don
Cassiope sp.2 D.Don
Chesneya nubigena (D. Don) Ali
Codonopsis bulleyana Forrest ex Diels
Codonopsis sp. Wall.
Comastoma sp.1 (Wettst.) Toyok.
Comastoma sp.2 (Wettst.) Toyok.
Comastoma sp.3 (Wettst.) Toyok.
Corydalis sp. 2 DC.
Corydalis sp. DC.
Cotoneaster sp.1 Medik.
Cotoneaster sp.2 Medik.
Crassulaceae sp.1 J. St.-Hil.
Crassulaceae sp.2 J. St.-Hil.
Crawfurdia speciosa Wall.
Cremanthodium campanulatum (Franch.) Diels
Cremanthodium helianthus (Franch.) W.W. Sm.
Cremanthodium sp.1 Benth.
Cremanthodium sp.2 Benth.
Cyananthus sp.1 Wall. ex Benth.
Cyananthus sp.2 Wall. ex Benth.
Cyananthus sp.3 Wall. ex Benth.
Delphinium sp. L.
Diapensia purpurea Diels
C1
A3, A4
B2, B3, B4
C1, C2, C4
B1
B1
B4
B1
B2, B3, C1, C2, C3
Diapensia sp. L.
Diplarche multiflora Hook. f. & Thomson
Diplarche pauciflora Hook. f. et Thoms.
Draba sp.1 L.
Draba sp.2 L.
Draba sp.3 L.
Dryopteris acutodentata Ching
Dryopteris alpestris Tagawa
Dryopteris sp. Adans.
Epilobium sikkimense Hausskn.
Epilobium sp.1 L.
Epilobium sp.2 L.
Epilobium sp.3 L.
Epilobium sp.4 L.
Eupatorium sp. L.
Euphorbia sp. L.
Euphorbia stracheyi Boiss.
Festuca pamirica Tzvelev
Festuca sp.1 L.
Festuca sp.2 L.
Festuca sp.3 L.
Gaultheria fragrantissima Wall.
Gentiana arethusae Burkill
Gentiana atuntsiensis W.W. Sm.
Gentiana caelestis (Marq.) H. Smith
B1
A1, B1, C1
B1
C3
C1
A1
A4
B3, B4
A3, A4
B1, B3, B4
B3
C1, C2, C3
A3, B1, C1, C2, C3
A1, A3, B2, B3
A1, A3
B1, B2, B4
A1
C1
C1
A3, A4
B1, B2
C1
C1
C1
B1
B1
A1
B3
B4
A1, A3, C3
B2
A3
B4
A1, A3
B1, B2
C1, C2, C3
B1
A3, B2, B3, B4,
C1, C2, C3, C4
B3
C3
C2, C3
A3, A4
B4
C2
C1
A1, B1
C4
C1
B2
B2
B2
C1
B2
B1, B2, B3, B4
A1, A3, A4, B1,
B2, B3, C2, C3
B2
A1, A3, A4
B1, B2, B4
C1
C2, C3
A3, A4, B2, B3
A1, A3, A4, B1, B2,
B3, B4, C2, C3
C1, C2, C3, C4
153
J. Salick et al. / Global Environmental Change 19 (2009) 147–155
Appendix A (Continued )
Appendix A (Continued )
Species
Occurrence (region +
summit elevation)
Species
Occurrence (region +
summit elevation)
Gentiana dichotoma Pall.
Gentiana filistyla Balf. f. & Forrest
Gentiana handeliana Harry Sm.
Gentiana nubigena Edgew.
Gentiana sp. L.
Gentiana sp.2 L.
Gentiana sp.3 L.
Gentiana szechenyii Kanitz
Gentiana trichotoma Kusn.
Halenia elliptica D. Don
Juncus effusus L.
Juncus sp.1 L.
Juncus sp.2 L.
Juncus sp.3 L.
Juniperus indica Bertol
Juniperus sp. L.
Juniperus sp. L.
Juniperus sp.2 L.
Juniperus squamata Lamb.
Kobresia sp.1 Willd.
Kobresia sp.10 Willd.
Kobresia sp.11 Willd.
Kobresia sp.12 Willd.
Kobresia sp.13 Willd.
Kobresia? sp.14 Willd.
Kobresia sp.2 Willd.
Kobresia sp.3 Willd.
Kobresia sp.4 Willd.
Kobresia sp.5 Willd.
Kobresia sp.6 Willd.
Kobresia sp.7 Willd.
Kobresia sp.8 Willd.
Kobresia sp.9 Willd.
Koenigia islandica L.
Lagotis alutacea W.W. Sm.
Lamiophlomis rotata (Benth. ex Hook. f.) Kudô
Leontopodium sp. R. Br. ex Cass.
Leontopodium sp.2 R. Br. ex Cass.
Leontopodium stracheyi (Hook. f.)
C.B. Clarke ex Hemsl.
Lepisorus sp. (Sm.) Ching
Ligularia sp. Cass.
Lilium bakerianum Collett & Hemsl.
var. delavayi (Franch.) E.H. Wilson
Lilium lophophorum
(Bureau & Franch.) Franch.
Lilium souliei (Franch.) Sealy
Lilium sp. L.
Lilium sp.2 L.
Lilium sp.3 L.
Lomatogonium sp. A. Braun
Lonicera hispida Pall. ex Roem. & Schult.
Lonicera myrtillus Hook. f. & Thomson
Meconopsis horridula Hook. f. & Thomson
Meconopsis impedita Prain
Meconopsis sp. Vig.
Meconopsis speciosa Prain
Morina nepalensis D. Don
Morina sp. L.
Nardostachys jatamansi (D. Don) DC.
Orchidaceae sp. Juss.
Orchis sp. L.
Oxygraphis delavayi Franch.
Oxygraphis glacialis (Fisch. ex DC.) Bunge
Oxygraphis sp.1 Bunge
Oxygraphis sp.2 Bunge
Pedicularis dichotoma Bonati
Pedicularis elwesii Hook. f.
Pedicularis likiangensis Franch. ex Maxim.
C2, C3
B1
A4, B1
B4
A4, B1, B2, B3
A1
A4
A4
B4
B1
A1
A1
B1, B2, B4
C1, C2, C3, C4
B1, B3, C1
B1
A3
C1
A1, B1, C1
A1, A3, A4
C2
B3, C2, C3
C3, C4
C4
B1
B1, B2, B3, B4
A3
B1, B2
B3
B4
B4
B1, B4
C2, C3, C4
B4
A3, A4
A3, A4
A3, B1, B2, B4
C1, C4
A1
Pleurospermum amabile Craib & W.W. Sm.
Pleurospermum nanum Franch.
Pleurospermum sp. Hoffm.
Pleurospermum sp.2 Hoffm.
Pleurospermum sp.3 Hoffm.
Poaceae sp.1 Barnhart
Poaceae sp.2 Barnhart
Poaceae sp.3 Barnhart
Poaceae sp.4 Barnhart
Poaceae sp.5 Barnhart
Polygonatum cirrhifolium (Wall.) Royle
Polygonum forrestii Diels
Polygonum griffithii Hook. f.
Polygonum islandicum Meisn. ex Small
Polygonum macrophyllum D. Don
Polygonum nepalense Meisn.
Polygonum nummularifolium Meisn.
Polygonum sp.1 L.
Polygonum sp.2 L.
Polygonum sp.3 L.
Polygonum sp.4 L.
Polygonum sp.5 L.
Polygonum viviparum L.
Polystichum silaense Ching
Polystichum sp.1 Roth
Polystichum sp.2 Roth
Polystichum sp.3 Roth
Potentilla articulata Franch.
Potentilla coriandrifolia D. Don
Potentilla cuneata Wall. ex Lehm.
Potentilla fruticosa L.
Potentilla fruticosa L. var. arbuscula
(D. Don) Maxim.
Potentilla glabra Lodd.
Potentilla griffithii var. velutina Cardot
Potentilla parvifolia Fisch. ex Lehm.
Potentilla peduncularis D. Don
Potentilla saundersiana Royle
var. jacquemontii Franch.
Potentilla sp.1 L.
Potentilla sp.2 L.
Potentilla sp.3 L.
Potentilla stenophylla (Franch.) Diels
B1, B3
C4
B3, B4
A1, A3
B2
A1, A3, A4
A4
B2
C1, C2, C4
C1
A1
C1, C2
C1, C2, C3, C4
B4
B1, B2, C1, C2, C3, C4
C1
A4
A1, A3, A4
B1, B2, B4
C2
B4
B1
A1, A3, A4, B1, B2, B3, B4
C1
A1
B1
C1, C3
B3, B4
A3, B2, C2, C3
C1
C3, C4
A1, B1
Pedicularis
Pedicularis
Pedicularis
Pedicularis
Pedicularis
Pedicularis
roylei Maxim.
rupicola Franch. ex Maxim.
sp.1 L.
sp.2 L.
trichoglossa Hook. f.
vialii Franch.
B1
A1
A4, C3
B1
C2, C3
B1
C3
B1
B3
A4
A1, B1
A3, A4
C1, C2, C3, C4
A4
B3, C3, C4
B1
B1
B1, B2, B3
B1, B3
B1
C1
A1, A3, B2, B4
A1
B4
A3
A1, B2, C3
A3, A4, B2, B3,
B4, C1, C2, C3
A3, B1, B4
B3
A1, A3, A4
B4
B2, B3
B1
Primula bella Franch.
Primula blinii H. Lév.
Primula dryadifolia Franch.
Primula polyneura Franch.
Primula serratifolia Franch.
Primula silaensis Petitm.
Primula sp. L.
Pyrethrum sp Medik.
Pyrethrum tatsienense
(Bureau & Franch.) Ling ex C. Shih
Ranunculus sp. L.
Rheum delavayi Franch.
Rheum forrestii Diels
Rheum nobile Hook. f. & Thomson
Rhodiola alsia (Fröd.) S.H. Fu
Rhodiola atuntsuensis (Praeger) S.H. Fu
Rhodiola coccinea (Royle) Boriss.
subsp. scabrida (Franch.) H. Ohba
Rhodiola fastigiata (Hook. f. & Thomson) S.H. Fu
Rhodiola nobilis (Franch.) S.H. Fu
Rhodiola sp.1 L.
Rhodiola sp.2 L.
Rhodiola sp.3 L.
Rhododendron aganniphum
Balf. f. & Kingdon-Ward
Rhododendron alutaceum Balf. f. & W.W. Sm.
Rhododendron beesianum Diels
Rhododendron cephalanthum Franch.
Rhododendron forrestii Balf. f. ex Diels
Rhododendron glaucum (Lam.) Sweet
Rhododendron nakotiltum Balf. f. & Forrest
Rhododendron nivale Hook. f.
C1, C2, C3, C4
B2
A1, A3, A4, B1, B2, B3
C1
C1
A1, A3, A4
B1, B2, B4
A1
A1, A3, B1, B2, B3, C1,
C2, C3, C4
B2, C1, C2, C3, C4
A1
A4, B4, C2
A1
B4, C1
C1, C2, C3
B4
A3
A1, A3, B2, B3, C2, C3
B3
A1, A3
A1, A3, A4, B3
A4
B2
A4, B2, B4
C3
A1, A3, C1
C2,C3
A1, A3, A4
B1, B2, B3
B1
A1, A3, C1
C1, C3
C1
C1
C1
C1
B1
A1, B1, B2, B3, C1, C2, C3
154
J. Salick et al. / Global Environmental Change 19 (2009) 147–155
References
Appendix A (Continued )
Species
Rhododendron phaeochrysum Balf. f. & W.W. Sm.
Rhododendron primuliflorum
Bureau & Franch.
Rhododendron proteoides
Balf. f. & W.W. Sm.
Rhododendron rupicola W.W. Sm.
Rhododendron saluenense Franch.
Rhododendron sanguineum Franch.
Rhododendron sp.1 L.
Rhododendron sp.2 L.
Rhododendron sp.3 L.
Rhododendron tapetiforme
Balf. f. & Kingdon-Ward
Rhododendron timeteum Balf. f. & Forrest
Rhododendron traillianum
Forrest & W.W. Sm.
Rubus fockeanus Kurz
Salix lindleyana Wall. ex Andersson
Salix sp.1 L.
Salix sp.2 L.
Salix sp.3 L.
Salix sp.4 L.
Salix vaccinioides Hand.-Mazz.
Saussurea gossypiphora D. Don
Saussurea graminea Dunn
Saussurea hieracioides Hook. f.
Saussurea leontodontoides (DC.) Sch. Bip.
Saussurea medusa Maxim.
Saussurea minuta C.G.A. Winkl.
Saussurea quercifolia W.W. Sm.
Saussurea sp.1 DC.
Saussurea sp.2 DC.
Saussurea sp.3 DC.
Saussurea sp.4 DC.
Saxifraga diversifolia Wall. ex Ser.
Saxifraga filicaulis Wall. ex Ser.
Saxifraga hirculus L.
Saxifraga melanocentra Franch.
Saxifraga sp.1 L.
Saxifraga sp.2 L.
Saxifraga sp.3 L.
Saxifraga sp.4 L.
Saxifraga sp.5 L.
Saxifraga sp.6 L.
Saxifraga sp.7 L.
Sedum sp.1 L.
Sedum sp.2 L.
Sedum sp.3 L.
Sedum sp.4 L.
Selaginella pulvinata
(Hook. & Grev.) Maxim.
Selaginella remotifolia Spring
Selaginella sp. P. Beauv.
Sibbaldia cuneata Hornem. ex Ktze.
Sibbaldia purpurea Royle
Sibbaldia purpurea Royle var.
macropetala (Murav.) T.T. Yu & C.L. Li
Silene nigrescens (Edgew.) Majumdar
Silene sp. L.
Silene sp.2 L.
Sinocrassula ambigua (Praeger) A. Berger
Sinolimprichtia alpina H. Wolff
Solms-Laubachia linearifolia
(W.W. Sm.) O.E. Schulz
Solms-Laubachia minor Hand.-Mazz.
Sorbaria sp. (Ser. ex DC.) A. Braun
Sorbus rehderiana Koehne
Soroseris gillii (S. Moore) Stebbins
Soroseris hirsuta (J. Anthony) C. Shih
Stipa sp. L.
Trollius yunnanensis (Franch.) Ulbr.
Veratrilla baillonii Franch.
Viola biflora L. var. rockiana
(W. Becker) Y.S. Chen
Viola sp. L.
Occurrence (region +
summit elevation)
A1, A3, B1, B2, B3
A3, B2, B3, C2, C3
C1, C2, C3
B1, C1
A3, B3, B4, C1, C2, C3
C1, C2, C3
A1
B1, B4
B2
A3, B1, B2, B3, B4, C3
A3
B1, C1, C2, C3
C1
B2
A1, A3, B1, B2, B3, B4
B1, B3, B4
B3
C2, C3
B1
B4
A3, A4, B2, C2, C3, C4
A3, B1
B1, B2, B3, B4
A4, B4
B4
B3, B4
A4
B1, B2, B3, B4
B1
B1
A1, C1
B1, B4, C1, C3, C4
C1, C3
A1
A1, A3, A4
B1, B3, B4
A3, A4
A3, A4
B4
C1
C1
A1, A3, A4
B1, B3, B4
A3
C1
B4
B1
B2, B4
A4, C1
B2, B3, B4, C3
B4
A4, B3
A4
C1, C3
B1
B1, B3
B4
B2, B4
B4
A1, B1
B2
A3, A4, B3, B4
A3
B2
B1, B2, C1
A1, A3, B1, B2, C1, C3
B1, B3
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