Literature DB >> 30159481

Combined community ecology and floristics, a synthetic study on the upper montane evergreen broad-leaved forests in Yunnan, southwestern China.

Hua Zhu1, Yong Chai1, Shisun Zhou1, Lichun Yan1, Jipu Shi1, Guoping Yang1.   

Abstract

The upper montane evergreen broad-leaved forest in Yunnan occurs mainly in the zone of persistent cloud and has a discontinuous, island-like, distribution. It is diverse, rich in endemic species, and likely to be sensitive to climate change. Six 1-ha sampling plots were established across the main distribution area of the upper montane evergreen broad-leaved forest in Yunnan. All trees with d.b.h. > 1 cm in each plot were identified. Patterns of seed plant distributions were quantified at the specific, generic and family levels. The forests are dominated by the families Fagaceae, Lauraceae, Theaceae and Magnoliaceae, but are very diverse with only a few species shared between sites. Floristic similarities at the family and generic level were high, but they were low at the specific level, with species complementarity between plots. Diversity varied greatly among sites, with greater species richness and more rare species in western Yunnan than central Yunnan. The flora is dominated by tropical biogeographical elements, mainly the pantropic and the tropical Asian distributions at the family and genus levels. In contrast, at the species level, the flora is dominated by the southwest or the southeast China distributions, including Yunnan endemics. This suggests that the flora of the upper montane forest in Yunnan could have a tropical floristic origin, and has adapted to cooler temperatures with the uplift of the Himalayas. Due to great sensitivity to climate, high endemism and species complementarity, as well as the discontinuous, island-like, distribution patterns of the upper montane forest in Yunnan, the regional conservation of the forest is especially needed.

Entities:  

Keywords:  Biogeography; Floristic composition; Montane evergreen broad-leaved forest; Physiognomy; Species diversity; Yunnan

Year:  2016        PMID: 30159481      PMCID: PMC6112265          DOI: 10.1016/j.pld.2016.11.001

Source DB:  PubMed          Journal:  Plant Divers        ISSN: 2468-2659


Introduction

Yunnan Province of southwestern China lies between 21°09′ and 29°15′ N, 97°32′ and 106°12′ E, and occupies an area of 394,100 km2. It has a mountainous topography with mountain ridges generally running in a north-south direction, decreasing in elevation southward. Its elevation ranges from 76.4 m at the lowest valley bottom in the southeast (Red River) to 6740 m at the highest mountain summit in the northwest. Yunnan is extremely diverse in habitats and topography. The general climatic pattern consists of tropical wet climates in the southern lowlands, tropical dry climates in deep valleys below 1000 m alt. due to the Foehn effect, subtropical climates on the central plateau, and temperate to cold temperate climates in the northern high mountains. Several comprehensive vegetation studies in Yunnan (Wu, 1987, Shimizu, 1991, Jin, 1979, Jin, 1992) have also been published. Previously, the evergreen broad-leaved forest was treated as a vegetation type in the vegetation classification of Yunnan (Wu, 1980, Wu, 1987). The upper montane evergreen broad-leaved forest was classified into the type of mid-montane wet evergreen broad-leaved forest (Jin, 1979). The upper montane evergreen broad-leaved forest in Yunnan is a species-rich vegetation type and of important significance in the ecosystem and conservation. Aside from several works on community characteristics (Meng et al., 2013) and species composition (Yang et al., 2010) based on one site plot survey, there have been fewer studies on the upper montane forests in Yunnan. Due to geographical isolation and habitat heterogeneity, the floristic composition, species diversity and vegetation structure of this kind of forest has conspicuous variation across its distribution area. Studies on single plots can give limited information (Peng and Wu, 1998; Wang and Peng, 2004, Liu and Peng, 2007, Gong et al., 2011). To provide a better understanding of this kind of forest, we established six 1-ha plots across the main distribution area of the upper montane evergreen broad-leaved forest in Yunnan. The upper montane evergreen broad-leaved forest in Yunnan has been likened to cloud forests or mossy forests of Asia (Shi and Zhu, 2009). Studies on cloud forests have mainly been done in tropical America, especially focusing on the Mexican montane forests (Alcántara et al., 2002, Cavelier et al., 1996, Hamilton et al., 1994, Kapos and Tanner, 1985, Kelly et al., 1994, Luna-Vega et al., 2001, Nadkarni et al., 1995, Sugden, 1982, Torre-Cuadros et al., 2007, Williams-Linera, 2002, Williams-Linera et al., 2005), while relatively few studies have been conducted in SE Asia (Aiba and Kitayama, 1999, Bruijnzeel et al., 1993, Meijer, 1959, Ohsawa, 1991, Sakhan et al., 2002). As a new attempt, community ecology and floristics were combined in vegetation studies by Wu Zhengyi in his huge works (Wu, 1980, Wu, 1987). Recently, this integrated approach has successfully been used in the tropical forest studies in southern Yunnan to clarify the nature of vegetation types (Zhu, 1997, Zhu, 2004, Zhu, 2008, Zhu et al., 1998, Zhu et al., 2005, Zhu et al., 2006a, Zhu et al., 2006b, Zhu et al., 2015a, Zhu et al., 2015b). In this article, the combination of community ecology and floristics are used to explore the physiognomy, species composition, plant diversity and biogeography of the forest, and to provide suggestions for its conservation.

Methods

Six 1-ha sampling plots were established in well-conserved forest patches across the main distribution area of the upper montane evergreen broad-leaved forest in Yunnan (Fig. 1), among them three are located in western Yunnan and three in central Yunnan. Our plots were selected in currently well-conserved patches of the forest (it is impossible to design well-distributed sampling plots according to normative latitude and altitude in Yunnan due to the complicated topography and serious human disturbances). Each 1-ha sampling plot was divided into 100 10 m ′ 10 m subplots. All trees with d.b.h. > 1 cm in each plot were identified and their d.b.h. and height measured. Importance value indices (IVI) (Curtis and McIntosh, 1951) were calculated for each tree species in the six 1-ha plots (IVI = Relative abundance + Relative dominance + Relative frequency). In each 1-ha sampling plot, importance value indices at family level were calculated by the sum of all species in this family. Shannon–Wiener index (H′ = −Σ(Pi*lnPi) and Simpson's diversity index (D = 1−ΣPi2) for species diversity were calculated from the plot data. Species authorities follow Flora Reipublicae Popularis Sinicae (Flora of China). Patterns of seed plant distributions were quantified at the specific level from data in the Flora of China, at the generic level based on Wu's documentation (1991) and at the family level following Wu et al. (2003). Comparisons of both floristic composition and geographical elements were made to assess floristic similarities and variation in these sites, as well as to determine biogeographical affinities of the upper montane forest.
Fig. 1

Location of plot sites.

Location of plot sites.

Results

Species assemblage

The upper montane evergreen broad-leaved forest in Yunnan is very diverse in species composition, even in dominant species (Table 1), although most sites are dominated by the families Fagaceae, Lauraceae, Theaceae and Magnoliaceae or Ericaceae at higher altitudinal sites (Table 2). The families Fagaceae, Lauraceae and Theaceae have the highest importance values in most plots (Table 2), followed by Magnoliaceae and Rosaceae. However, the Proteaceae has high importance values in Daheishan I and Daheishan II, while the Symplocaceae and Ericaceae have a high importance value in Xujiaba and Nanhua, respectively. Fagaceae, Lauraceae, Theaceae are the most species-rich families in all six plots, followed in most plots by Rosaceae and Araliaceae.
Table 1

Dominant tree species (top 30) and their important values (IVI) in the sampling plots.a

Daheishan I plotLocation: 22° 06′ 36″ N, 99° 23′ 54″ EAlt: 2250 mTotal tree species (>1 cm dbh): 88Total stems: 3318Shannon–Wiener's diversity indexes: 3.61614Simpson index: 0.96259IVIDaheishan II plot Location: 22° 06′ 36″ N, 99° 23′ 54″ EAlt: 2300 mTotal tree species (>1 cm dbh): 78Total stems: 4930Shannon–Wiener's diversity indexes: 3.30007Simpson index: 0.93587IVIGaoligong Mts. plotLocation: 24°50′ 10″ N, 98° 45′ 53″ EAlt: 2190 mTotal tree species (>1 cm dbh): 68Total stems: 1935Shannon–Wiener's diversity indexes: 3.60832Simpson index: 0.96340IVIQianjiazai plotLocation: 24° 16′ 53″ N, 101° 15′ 53″ EAlt: 2320 mTotal tree species (>1 cm dbh): 45Total stems: 2444Shannon–Wiener's diversity indexes: 2.73883Simpson index: 0.89651IVIXujiaba plot Location: 24°32′ 21″ N, 101°01′ 34″ EAlt: 2450 mTotal tree species (>1 cm dbh): 41Total stems: 1233Shannon–Wiener's diversity indexes: 2.99099Simpson index:0.93245IVINanhua plotLocation: 25°05′ 54″ N 100°55′ 9″ EAlt: 2730 mTotal tree species (>1 cm dbh): 39Total stems: 2399Shannon–Wiener's diversity indexes: 2.43101Simpson index: 0.86066IVI



Helicia shweliensis21.29Helicia shweliensis28.53Beilschmiedia yunnanensis13.77Lithocarpus xylocarpus39.14Castanopsis wattii33.57Castanopsis orthacantha80.35
Nyssa javanica15.38Laurocerasus undulata19.79Neolitsea lunglingensis13.61Camellia taliensis35.88Schima noronhae31.13Vaccinium duclouxii32.50
Turpinia cochinchinensis15.18Manglietia hookeri17.62Eurya pseudocerasifera13.21Litsea honghoensis30.15Lithocarpus xylocarpus25.24Rhododendron delavayi23.67
Castanopsis fleuryi14.68Lithocarpus xylocarpus12.75Laurocerasus undulata12.2Manglietia insignis28.77Camellia forrestii25.06Lithocarpus hancei20.69
Lithocarpus magneinii14.43Litsea chinpingensis11.99Lithocarpus hancei10.95Castanopsis wattii18.13Machilus bombycina21.74Lithocarpus variolosus18.68
Beilschmiedia glauca13.58Syzygium brachythyrsum11.29Lithocarpus petelotii9.75Mahonia duclouxiana15.10Ilex gintungensis18.33Lyonia ovalifolia16.97
Neolitsea homilantha12.67Myrsine semiserrata9.69Symplocas ramosissima9.73Lithocarpus hancei13.91Symplocos anomala13.03Illicium simonsii12.21
Lithocarpus fenestratus11.08Stewartia pteropetiolata8.68Cyclobalanopsis lamellosa9.03Actinodaphne cupularis13.12Manglietia insignis12.68Rhododendron irroratum9.94
Laurocerasus undulata10.36Elaeocarpus decipiens7.92Symingtonia populnea8.82Camellia pitardii12.92Symplocos sumuntia12.4Ternstroemia gymnanthera8.20
Myrsine semiserrata8.40Neocinnamomum delavayi7.92Acer pubipetiolatum8.78Laurocerasus undulata11.95Machilus yunnanensis12.02Rhododendron decorum7.11
Lindera latifolia8.27Brassaiopsis glomerulata7.83Eurya tsaii8.51Myrsine semiserrata9.83Illicium macranthum11.72Symplocos anomala7.07
Castanopsis ceratacantha8.08Camellia taliensis7.79Schefflera minutistellata8.47Neolitsea polycarpa8.52Stewartia pteropetiolata11.25Schima argentea3.82
Stewartia pteropetiolata7.61Eurya handel-mazzettii7.60Huodendron biaristatum8.33Michelia floribunda7.68Symplocos ramosissima11.23Ilex forrestii3.70
Ilex longecaudata7.33Beilschmiedia glauca7.54Cinnamomum pauciflorum8.25Cyclobalanopsis myrsinifolia6.55Eurya obliquifolia9.21Cerasus yunnanensis3.40
Elaeocarpus decipiens7.29Ilex longecaudata6.87Alcimandra cathcartii8.19Symplocos ramosissima6.19Symplocos poilanei7.64Ilex longecaudata3.35
Castanopsis tcheponensis7.27Lindera latifolia6.50Acer jingdongense8.06Eurya yunnanensis5.21Neolitsea chuii6.68Daphniphyllum longeracemosum3.16
Symplocos sumuntia7.26Neolitsea homilantha6.27Lithocarpus fenestratus7.26Machilus viridis4.84Eriobotrya prinoides5.77Pinus armandii2.57
Litsea chinpingensis6.15Schefflera hypoleuca6.01Myrsine semiserrata6.67Eriobotrya bengalensis4.07Meliosma arnottiana4.71Eurya handel-mazzettii2.49
Elaeocarpus braceanus6.12Castanopsis fleuryi5.45Camellia saluenensis6.58Machilus viridis3.56Laurocerasus undulata4.52Styrax tonkinensis2.41
Eriobotrya prinoides5.71Acer pubipetiolatum5.37Michelia doltsopa6.4Styrax perkinsiae3.33Neolitsea polycarpa4.39Actinodaphne forrestii2.39
Pyrenaria diospyricarpa5.70Eurya acuminata5.26Neolitsea homilantha6.24Meliosma kirkii2.86Lithocarpus hancei3.31Cyclobalanopsis augustinii2.29
Alcimandra cathcartii4.92Litsea elongata5.14Sloanea dasycarpa6.16Elaeocarpus japonicus1.77Michelia floribunda1.47Machilus longipedicellata2.17
Phoebe rufescens4.83Alcimandra cathcartii4.78Manglietia insignis5.57Schefflera fengii1.44Padus perulata1.37Phoebe forrestii2.11
Syzygium lineatum4.76Eriobotrya prinoides4.52Elaeocarpus lacunosus5.3Cerasus yunnanensis1.42Ilex manneiensis1.32Osmanthus delavayi2.08
Michelia floribunda3.80Eriobotrya serrata4.46Camellia taliensis4.95Betula alnoides1.40Acer campbellii1.22Ilex szechwanensis2.04
Litsea verticillata3.65Laurocerasus phaeosticta4.03Neolitsea undulatifolia4.66Skimmia arborescens1.07Ligustrum delavayanum1.05Ilex gintungensis2.00
Machilus robusta3.64Skimmia arborescens3.79Ficus neriifolia4.62Fraxinus chinensis1.00Tetracentron sinense0.93Ilex fragilis1.97
Tarennoidea wallichii3.55Pyrularia edulis3.59Helicia shweliensis4.56Ficus neriifolia0.92Padus napaulensis0.91Lithocarpus dealbatus1.88
Acer pubipetiolatum3.45Cyclobalanopsis chapensis3.45Symplocos laurina4.48Ilex macrocarpa0.89Cyclobalanopsis stewardiana0.8Neocinnamomum delavayi1.88
Ternstroemia gymnanthera3.30Vaccinium duclouxii3.29Pyrularia edulis4.36Camellia forrestii0.87Vaccinium duclouxii0.79Castanopsis delavayi1.79
Other 58 species50.27Other 48 species54.28Other 38 species58.75Other 15 species5.86Other 11 species4.51Other 9 species15.13

Daheishan I, Daheishan II, Qianjiazai and Nanhua were newly investigated by the authors, while Xujiaba was studied by Yang et al. (2010). In addition, the Gaoligong Mts. plot was abstracted from a 4-ha permanent plot investigated by Meng et al. (2013).

Table 2

Dominant families ranked by the Importance Value Index (IVI) and by species richness in the six 1-ha plots.

Daheishan IDaheishan IIGaoligong Mts.QianjiazaiXujiabaNanhua
Family ranked by IVI
Lauraceae67.57Lauraceae77.11Lauraceae57.25Fagaceae77.73Theaceae77.49Fagaceae127.26
Fagaceae62.55Fagaceae35.07Fagaceae39.29Lauraceae61.82Fagaceae62.92Ericaceae90.25
Proteaceae21.29Theaceae34.12Theaceae38.18Theaceae56.57Lauraceae46.07Theaceae14.51
Rosaceae20.94Proteaceae28.53Magnoliaceae21.92Magloniaceae36.45Symplococaceae44.3Aquifoliaceae13.06
Theaceae19.09Magloniaceae22.82Rosaceae17.55Rosaceae18.44Aquifoliaceae20.47Schisandraceae12.21
Family ranked by number of species
Lauraceae25Lauraceae16Lauraceae10Lauraceae8Lauraceae7Fagaceae7
Fagaceae9Theaceae9Theaceae8Theaceae7Theaceae6Ericaceae5
Theaceae8Fagaceae8Fagaceae5Fagaceae4Fagaceae4Aquifoliaceae5
Rosaceae5Araliaceae6Araliaceae5Rosaceae3Symplococaceae4Lauraceae5
Araliaceae4Rosaceae4Magnoliaceae4Araliaceae3Aquifoliaceae4Rosaceae4
Dominant tree species (top 30) and their important values (IVI) in the sampling plots.a Daheishan I, Daheishan II, Qianjiazai and Nanhua were newly investigated by the authors, while Xujiaba was studied by Yang et al. (2010). In addition, the Gaoligong Mts. plot was abstracted from a 4-ha permanent plot investigated by Meng et al. (2013). Dominant families ranked by the Importance Value Index (IVI) and by species richness in the six 1-ha plots. The two nearby plots Daheishan I and Daheishan II in western Yunnan share the dominant tree species Helicia shweliensis, but differ in subdominant species. In the Gaoligong Mts. plot, Beilschmiedia yunnanensis is the most dominant species. In the Qianjiazai plot in central Yunnan, Lithocarpus xylocarpus is the most dominant species, while in the Xujiaba plot at higher elevation, Castanopsis wattii is the most dominant species. In the Nanhua plot at the highest elevation, Castanopsis orthacantha is the most dominant species, followed by Vaccinium duclouxii, Rhododendron delavayi. Among the top ten dominant species, none is shared by all six plots. However, among the all tree species recorded, five species, Laurocerasus undulata, Michelia floribunda, Lithocarpus hancei, Ternstroemia gymnanthera and Symplocos ramosissima, were found in five plots. L. xylocarpus and Machilus yunnanensis were found in four plots. The two nearby plots, Daheishan I and Daheishan II, share 59 species, but shared species are much less important in the other plots.

Physiognomy

The six plots covered an altitudinal range of 2190 m–2730 m, and of them three plots representing different altitudes were selected to illustrate the physiognomy of the forest. The life forms of Daheishan I plot, Xujiaba plot and Nanhua plot were enumerated in Table 3. Daheishan I at a lower elevation has more mesophanerophytes (34.45%) and epiphytes (17.22%), less chamaephytes and herbaceous phanerophytes (6.22%), hemicryptophytes (6.22%) and geophytes (2.87%); while Nanhua at a higher elevation has more microphanerophytes (20.69%), nanophanerophytes (14.66%), and geophytes (5.17%). All three plots are dominated by tree species with mesophyllous leaves, contributing from 53.85% to 72.09% of the total tree species (Table 4). However, the ratio of microphyllous leaves show conspicuous variation with altitude. In the Nanhua plot at 2730 m above sea-level 43.59% of the total tree species have non-entire leaves and 41.03% of tree species have microphyllous leaves, while in the Daheishan I plot at 2250 m a.s.l. only 23.26% have non-entire leaves and microphyllous leaves.
Table 3

Comparisons of plant life forms in three 1-ha forest plots.

LocationLMegaphMesophMicrophNanophHPH & ChHGEpSaTotal
Nanhua (2730 m alt.)No. of species1602224171313660116
%13.790.0018.9720.6914.6611.2111.215.175.170.00100.00
Xujiiaba (2450 m alt.)No. of species1814412928217222164
%10.980.6126.837.325.4917.0712.804.2713.411.22100.00
Daheishan I (2250 m alt.)No. of species26372161513156367209
%12.441.4434.457.667.186.226.222.8717.223.35100.00

L: Liana; Megaph: Megaphanerophytes; Mesoph: Mesophanerophytes; Microph: Microphanerophytes; Nanoph: Nanophanerophytes; HPH & Ch: Chamaephytes & Herbaceous phanerophytes; G: Geophytes; H: Hemicryptophytes; Ep: Epiphytes; Sa: Sarpophytes (Raunkiaer (1934) revised by Mueller-Dombois and Ellenberg, 1974).

Table 4

Comparisons of leaf features of tree species in three 1-ha plots.

LocationLeaf sizea
Leaf type
Leaf margin
Ma %Me %Mi %Single %Compound %Entile %None entile %
Nanhua5.1353.8541.03100056.4143.59
Xujiaba4.8865.8529.2790.249.7648.7851.22
Daheishan I4.6572.0923.2693.026.8976.7423.26

Ma: Macrophyll; Me: Mesophyll; Mi: Microphyll.

Webb (1959) split off the lower end of Raunkiaer's big mesophyll class (2025–18,225 mm2) as notophylls (2025–4500 mm2). Although it is better for detailing categories of leaf size spectrum, Chinese botanists are more familiar with Raunkiaer' big mesophyll class, and here we use Raunkiaer's big mesophyll class for the evergreen broad-leaved forest in Yunnan.

Comparisons of plant life forms in three 1-ha forest plots. L: Liana; Megaph: Megaphanerophytes; Mesoph: Mesophanerophytes; Microph: Microphanerophytes; Nanoph: Nanophanerophytes; HPH & Ch: Chamaephytes & Herbaceous phanerophytes; G: Geophytes; H: Hemicryptophytes; Ep: Epiphytes; Sa: Sarpophytes (Raunkiaer (1934) revised by Mueller-Dombois and Ellenberg, 1974). Comparisons of leaf features of tree species in three 1-ha plots. Ma: Macrophyll; Me: Mesophyll; Mi: Microphyll. Webb (1959) split off the lower end of Raunkiaer's big mesophyll class (2025–18,225 mm2) as notophylls (2025–4500 mm2). Although it is better for detailing categories of leaf size spectrum, Chinese botanists are more familiar with Raunkiaer' big mesophyll class, and here we use Raunkiaer's big mesophyll class for the evergreen broad-leaved forest in Yunnan.

Species diversity

The number of tree species >1 cm d.b.h. (diameter at breast height) in a 1-ha sampling plot was 39–88 in these upper montane forests (see Table 1). The number of species was more in the three plots in western Yunnan than in other three plots in central Yunnan. The Shannon–Weiner index showed a similar pattern to species richness. Species sequences ranked by Importance Value Index (IVI) of the six forest plots showed the presence of more rare species in the three plots in western Yunnan (Fig. 2). Species sequences ranked by stems of the six plots showed the same patterns as the species sequences ranked by IVI: the presence of more rare species in the three plots in western Yunnan (Fig. 3).
Fig. 2

Species sequences ranked by IVI of the six forest plots.

Fig. 3

Species sequences ranked by stems % (log scale) of the six forest plots.

Species sequences ranked by IVI of the six forest plots. Species sequences ranked by stems % (log scale) of the six forest plots.

Floristic analysis

A total of 219 tree species in 91 genera and 41 families were recorded from the six 1-ha plots. Eight geographical elements at the family level were recognized, of which the pantropic distribution is the most dominant element, accounting for 36.59% of the total families, followed by the north temperate distribution (Table 5). All tropical families together made up 53.66%, while all temperate families together made up 31.71% of total families. At the generic level, 13 geographical elements were recognized, of which the tropical Asian genera contributed 27.47%, followed by the pantropic genera (13.19%), and the east Asia and north America disjunct genera (14.29%), as well as the north temperate genera (12.09%) (Table 5). All tropical elements together made up 59.34% of the total genera, and all temperate elements made up 38.46%. Clearly, at both the family and the genus levels, tropical elements were dominant. At the species level, however, elements from southwest or southeast China, including Yunnan, have the highest percentage, accounting for 44.29% of the total species, followed by the species with south Asia to mainland southeast Asia (SE Himalaya) distributions, which accounted for 26.94%.
Table 5

Composition of geographical elements at the family, genus and species levels.

Geographical elements at family levelNumber of families%
Cosmopolitan614.63
Pantropic1536.59
Tropical Asia and tropical America disjunct512.20
Tropical Asia to tropical Australia12.44
Tropical Asia12.44
(Tropical in total)(22)(53.66)
North temperate819.51
East Asia and north America disjunct37.32
East Asia24.88
(Temperate in total)(12)(31.71)
Total number of families
41
100
Geographical elements at genus level
Number of genera
%
Cosmopolitan22.20
Pantropic1213.19
Tropical Asia and tropical America disjunct88.79
Old world tropic33.30
Tropical Asia to tropical Australia33.30
Tropical Asia to tropical Africa33.30
Tropical Asia2527.47
(Tropical in total)(54)(59.34)
North temperate1112.09
East Asia and North America disjunct1314.29
Old world temperate11.10
Mediterranean, W Asia to C Asia11.10
East Asia77.69
Endemic to China22.20
(Temperate in total)(35)(38.46)
Total number of genera
91
100.00
Geographical elements at species level
Number of species
%
East Asia115.02
SW or to SE China including Yunnan9744.29
S Asia to Mainland SE Asia (SE Himalaya)5926.94
Mainland SE Asia to S China2611.87
India–Malaysia2611.87
Total number of species219100.00
Composition of geographical elements at the family, genus and species levels.

Species complementarity

Floristic similarities between plots are high at the family and generic levels, but low at the species level (Table 6), with the exception of Daheishan I and Daheishan II. Species-level similarities decline with separation distance. Species complementarity between plots is conspicuous.
Table 6

Comparison of floristic similarities at the family, generic and specific levels between these plots.

Compared plotsDaheishan I
Daheishan II
Gaoligong
Qianjiazhai
Xujiaba
Nanhua
Shared/similarity coefficient (%)aShared/similarity coefficient (%)Shared/similarity coefficient (%)Shared/similarity coefficient (%)Shared/similarity coefficient (%)Shared/similarity coefficient (%)
Similarity coefficients at family level
Daheishan I100/100
Daheishan I27/90
Gaoligon25/83.3324/80100/100
Qianjiazhai16/84.2116/84.2116/84.21100/100
Xujiaba11/73.3313/86.6712/8012/84.21100/100
Nanhua10/66.6712/8012/8011/73.3310/66.67100/100
Similarity coefficients at generic level
Daheishan 1100/100
Daheishan 247/85.45100/100
Gaoligon31/60.7831/60.78100/100
Qianjiazhai27/7529/80.5624/66.67100/100
Xujiaba20/71.4324/85.7118/64.2922/78.57100/100
Nanhua15/53.5716/57.1414/5016/57.1413/46.43100/100
Similarity coefficients at specific level
Daheishan 1100/100
Daheishan 259/75.64100/100
Gaoligon16/23.5317/25100/100
Qianjiazhai10/22.7313/29.558/18.18100/100
Xujiaba10/24.3916/39.025/12.217/41.46100/100
Nanhua9/23.0810/25.644/10.256/15.385/12.82100/100

Similarity coefficient between A and B = the number of taxa shared by both A and B divided by the lowest number of taxa of A or B, multiplied by 100%.

Comparison of floristic similarities at the family, generic and specific levels between these plots. Similarity coefficient between A and B = the number of taxa shared by both A and B divided by the lowest number of taxa of A or B, multiplied by 100%.

Discussion

The upper montane evergreen broad-leaved forest in Yunnan is dominated by the families Fagaceae, Lauraceae, Theaceae and Magnoliaceae. However, it is very diverse in species. Only five species were found in common in five of the six plots, and none of these are dominants. Floristic similarities at the family and generic levels were high, but low at the species level, demonstrating species complementarity across plots. One possible explanation could be that upper montane evergreen broad-leaved forest areas in Yunnan were quickly uplifted with the Himalayas during the Quaternary period, while the common Tertiary flora underwent conspicuously rapid speciation in response to the quick uplift of the mountains. Species richness was higher in the three plots in western Yunnan than in the three plots in central Yunnan. Species sequence patterns show the presence of more rare species in the three plots in western Yunnan. Charcoal was frequently found in the soil during our field survey in central Yunnan, suggesting a possibly long history of anthropogenic fires, which would explain the lower richness. The large areas of pine forest dominated by the fire-tolerant Pinus yunnanensis in central Yunnan support this historical explanation (Tang et al., 2013). Yunnan has a similar latitude and mountain topography to Mexico. The Mexican cloud forests have a wider distribution range, from 600 m to 3000 m a.s.l., but optimally between 1200 m and 2450 m (Alcántara et al., 2002). The montane forests in Yunnan occur in a relatively narrow range from 2100 m to 2900 m a.s.l., and have a generally higher altitudinal distribution. It could be related to the large uplift of the Himalayas and be affected by the ‘Massenerhebung’ effect (Grubb, 1971, Bruijnzeel et al., 1993). The Mexican cloud forests are characterized by species in the genera Clethra, Magnolia, Meliosma, Styrax, Symplocos and Ternstroemia (Alcántara et al., 2002). The upper montane forests in Yunnan have the same six genera as Mexico, although they are not dominant. In a 1-ha plot of tropical montane forest in Peru, trees with dbh >10 cm belonging to 135 species, 66 genera and 35 families were recorded (Torre-Cuadros et al., 2007). In our plots, tree species >1 cm dbh in a 1-ha sampling plot included 39–88 species, 28–55 genera and 15–31 families. Although the species richness varies conspicuously from place to place in tropical America, floristic richness of the montane forest in Yunnan looks lower than that in American montane forests. Studies on tropical montane forests in tropical America suggested that similar elevation and environmental conditions do not dictate similar structure and floristics (Nadkarni et al., 1995). They have great heterogeneity in species composition and vegetation structure over short geographical distances (Williams-Linera, 2002). This is supported by our work in Yunnan, which shows conspicuous floristic variation occurs among the six plots. In the fragments of Mexican montane forests, species composition was different, but complementary. The similarity in species was low between fragments, and species turnover between sites was very high, with complementarities between pairs of sites higher than 50% in all cases (Williams-Linera, 2002, Williams-Linera et al., 2005). In the montane forest in Yunnan, as in the fragments of Mexican montane forests, the species similarity is low and species complementarity is conspicuous between plots in separate sites. The flora of the tropical American montane forests was suggested to be a blend of Neotropical elements that have adapted to cooler temperatures with temperate elements that have immigrated from both boreal and austral regions (Gentry, 1982, Kelly et al., 1994). In the flora of the upper montane forest in Yunnan, tropical elements are dominant at both the family and the genus levels, which suggests that the flora could also have a tropical floristic origin. At the species level, however, elements from southwest or southeast China, including Yunnan, are represented by the highest percentage (Zhu, 2016). It is possible that the flora in Yunnan could have originated from a tropical lowland flora, and these tropical elements have since adapted to cooler temperatures with uplift of the Himalayas; subsequently, temperate elements immigrated from the north temperate and east Asian regions, and rapid speciation occurred with the rising elevation of this region (Zhu, 2012).

Conservation implications

Montane cloud forests are sensitive to climate (Foster, 2001). They are very rich in epiphytic species, which are sensitive to air humidity and are considered excellent environmental indicators (Li et al., 2013). They are also strongly linked to regular cycles of cloud formation (Still et al., 1999). The upper montane forest in Yunnan has high endemism and a great sensitivity to climate. The conservation of the upper montane forest against globe warming is exceptionally important. Due to geographical isolation and habitat heterogeneity, the floristic composition and species diversity of this kind of forest display variation across its distribution area and species complementarity is high. The regional conservation of the upper montane forest, not just of several sites, is therefore needed. The plots in western Yunnan have more species richness and more rare species than the plots in central Yunnan. Therefore, it is also important to pay more attention to the upper montane forest in western Yunnan for conservation.

Conclusion

The upper montane forest in Yunnan is dominated by the families Fagaceae, Lauraceae, Theaceae and Magnoliaceae, but is very diverse in species. Only a few species were shared between separate sites. Floristic similarities at the family and generic level were high, but they were low at the specific level, with species complementarity between plots. Diversity varied greatly among sites, with both species richness and rare species more in western Yunnan than central Yunnan, suggesting a the possibility of a long history of anthropogenic disturbance in central Yunnan. The flora is dominated by tropical biogeographical elements, mainly the pantropic and the tropical Asian distributions at the family and genus levels, but the southwest or to southeast China distribution, including Yunnan endemics at the species level. This suggests that the flora of the upper montane forest in Yunnan could have a tropical floristic origin, and has adapted to cooler temperatures with the uplift of the Himalayas, and then undergone rapid speciation in response to the rising elevation of this region. Regional conservation of these forests is needed due to a number of factors: high sensitivity to climate; high endemism and species complementarity; as well as discontinuous, island-like distributions.
  2 in total

1.  Interpretation of the 'Massenerhebung' effect on tropical mountains.

Authors:  P J Grubb
Journal:  Nature       Date:  1971-01-01       Impact factor: 49.962

2.  Biogeographical divergence of the flora of Yunnan, southwestern China initiated by the uplift of Himalaya and extrusion of Indochina block.

Authors:  Zhu Hua
Journal:  PLoS One       Date:  2012-09-24       Impact factor: 3.240

  2 in total
  1 in total

1.  Stomatal frequency of Quercus glauca from three material sources shows the same inverse response to atmospheric pCO2.

Authors:  Jin-Jin Hu; Yao-Wu Xing; Tao Su; Yong-Jiang Huang; Zhe-Kun Zhou
Journal:  Ann Bot       Date:  2019-07-08       Impact factor: 4.357

  1 in total

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