Accepted Manuscript
Diversity depends on scale in the forests of the Central Highlands of Vietnam
Ha Thi Thanh Do, John C. Grant, Bon Ngoc Trinh, Heidi C. Zimmer, J. Doland Nichols
PII: S2287-884X(17)30100-0 DOI: 10.1016/j.japb.2017.08.008 Reference: JAPB 252
To appear in: Journal of Asia-Pacific Biodiversity
Received Date: 17 November 2016 Revised Date: 18 August 2017 Accepted Date: 24 August 2017
Please cite this article as: Thanh Do HT, Grant JC, Trinh BN, Zimmer HC, Nichols JD, Diversity depends on scale in the forests of the Central Highlands of Vietnam, Journal of Asia-Pacific Biodiversity (2017), doi: 10.1016/j.japb.2017.08.008.
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1 Diversity depends on scale in the forests of the Central
2 Highlands of Vietnam
3
4 Ha Thi Thanh Do a*,b , John C. Grant a, Bon Ngoc Trinh b, Heidi C. Zimmer a, J. Doland Nichols a
5
6 a Forest Research Centre, Southern Cross University, Lismore NSW Australia 2480. * Corresponding author
8 b Silviculture Research Institute, Vietnam Academy of Forest Science, Bac Tu Liem, Ha Noi, Vietnam
9
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10 Abstract: Tropical forests are among the most diverse ecosystems on earth. They are also
11 the most threatened. The montane forests in the Central Highlands Region of Vietnam have
12 outstanding biodiversity and suite of unique species, yet we know little about them. This
13 study focuses on characterising natural forest at three sites: Dam Rong, Ha Nung and Yok
14 Don. We identified six discrete communities and their indicator species. One community,
15 Highland Floodplain forest, had tree species richness of up to 22 species/400 m 2 and 70
16 species/ha. In the lowland forests of Yok Don we identified three distinct communities,
17 despite that area having the lowest mean species richness (5 species/400 m 2). This study
18 illustrates the high species richness of the forests of Vietnam, and provides an important
19 record of the tree species (including rare and threatened species) at each of these sites. Our
20 community determinations can be used in future conservation management planning. 21 Moreover, the presence of three distinct tree commuMANUSCRIPTnities at Yok Don, which had the 22 lowest species richness, highlights that biodiversi ty should be assessed at multiple scales.
23
24 Keywords : Annamite mountains, Dam Rong, dipterocarp forest, Ha Nung, montane
25 rainforest, Yok Don
26
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27 Introduction
28
29 The diversity of life on earth maintains the ecosystem services on which humans rely
30 (Chapin III et al 2000). Yet recent species losses implicate human actions as the cause of a
31 sixth mass extinction (Chapin III et al 2000). Resources for biodiversity conservation are
32 limited, and it is for this reason we must prioritise which areas are most critical for
33 protection (Mittermeier et al 1998). ‘Biodiversity hotspots’ provide one such prioritisation
34 strategy. Across the world, twenty-five regions have been named biodiversity hotspots.
35 Many of these high biodiversity areas with high levels of animal and plant endemism, are
36 threatened (Myers et al 2000). Tropical forests encapsulate more than half of the world’s
37 plant species and appear in 15 of the 25 biodiversity hotspots. They are also being depleted 38 faster than any other ecosystem (Myers 1988). MANUSCRIPT 39 Primary tropical forests, because of their high spe cies richness, constitute some of the most
40 complex ecosystems on earth (Gibson et al 2011; Wilson et al 2012) and are known for
41 being difficult to sample effectively and efficiently (Phillips et al 2003). Nevertheless,
42 distinct classification of tropical forests, as with all vegetation types, is fundamental to the
43 management, mapping and study of these systems (Biondi and Zuccarello 2004; De
44 Cáceres et al 2015). Classification of the world’s vegetation communities (and development
45 of classification methodology) has been underway for over a century (Mucina 1997). The 46 conceptualisationACCEPTED of discrete communities has been a large challenge (Looijen & van Andel 47 1999; Wilson & Chiarucci 2000), but there continues to be a focus on producing well- ACCEPTED MANUSCRIPT
48 functioning local vegetation classifications (cf. ill-fitting broad ones) that are fit for purpose
49 (e.g. conservation management) (Mucina 1997).
50 Historically, Thái (1963; 1999) classified Vietnam’s vegetation into five types and 14
51 subtypes. The first order classification was based on geography (highland or lowland),
52 canopy structure (closed or open), and climate. Vegetation communities were then
53 identified by edaphics, the level of disturbance and floristics, and finally identified by the
54 dominant species (or genera or families) (Thái 1963; 1999). The biodiversity of Southeast
55 Asia, which includes four biodiversity hotspots, has been under assault in recent decades
56 (Sodhi et al 2004). The region has the highest relative rate of deforestation of all major
57 tropical regions. Sodhi et al (2004) emphasised that the extent of this disaster may be far
58 greater than is currently understood, because of the paucity of research data. In addition, 59 biodiversity conservation research in the tropics MANUSCRIPTis chronically underfunded (Balmford and 60 Whitten 2003; Gardner et al 2008; Vieilledent et al 2016). The Indo-Burma biodiversity
61 hotspot (Myers et al 2000), is one of the four South-east Asian hotspots, and it includes all
62 of Vietnam. Most of this biodiversity occurs in Vietnam’s mountains, located in the north-
63 west, north-east and central regions, while the majority of flatlands have been cleared for
64 cultivation and urbanisation (Meyfroidt and Lambin 2008).
65 The Central Highlands region (CHR) in central Vietnam encapsulates most of the
66 remaining forests with high biodiversity value in Vietnam (Meyfroidt and Lambin 2008).
67 The CHR spansACCEPTED five provinces and is topographically dominated by the Annamite
68 Mountains (Day Truong Son). The montane rainforests of the northern and southern
69 Annamite Mountains have been highlighted by the WWF as ‘global ecoregions’ (Olson et ACCEPTED MANUSCRIPT
70 al 2001). The WWF designation indicates that these areas contain geographically unique
71 species, communities and conditions, with globally outstanding biodiversity (Olson et al
72 2001). Most famously, Annamite montane rainforests include regionally significant conifer
73 species richness, and the recently discovered large mammals, saola and giant muntjac
74 (Wikramanayake et al n.d.). In an analysis of biodiversity of ecoregions in the Indo-Pacific,
75 based on combined species richness and endemism, Krupnick and Kress (2003) found that
76 within the Indo-Burma biodiversity hotspot, the Southern Annamites montane rainforest
77 had the highest biodiversity. Biodiversity in the CHR is subject to pressures typical
78 throughout Vietnam, including deforestation as a result of immigration and the
79 development of market crops (Meyfroidt et al 2013), and dams, including Yali Falls dam –
80 the largest dam in the lower Mekong Basin (Polimeni et al 2014). Approximately half 81 (2,864,100 ha) of the CHR is forest, while approximMANUSCRIPTately one third (1,952,800 ha) is 82 devoted to agriculture of paddy rice, coffee, sugarcane and other commercial crops
83 (General Statistical Office of Vietnam 2013).
84 There are few studies of Vietnamese forests that have been published in the international
85 literature. Tran et al (2013) detailed the relationship between biodiversity and biomass of
86 major natural forest types in Vietnam. Blanc et al (2000) described communities and
87 succession of forests in Cat Tien National Park, Dong Nai Province. There are also two
88 studies that report on the spatial distributions (typically aggregated) of trees in the forests of 89 northern VietnamACCEPTED (Hai et al 2014; Nguyen et al 2016) and several studies that focus on the 90 influences of humans on threatened tree species (Dao and Hölscher 2015) and on plant
91 composition in general (Hoang et al 2011). These studies were conducted in northern ACCEPTED MANUSCRIPT
92 Vietnam. Despite outstanding biodiversity, very little has been published in the
93 international scientific literature about the tropical forest communities of Vietnam, and less
94 on attempts to characterise vegetation communities. Studies on the globally significant
95 CHR are particularly lacking. We aim to address this research gap.
96 This study describes the forest tree communities, and their indicator species, at three sites in
97 the little-studied, biologically significant Central Highlands region of Vietnam.
98 Biodiversity indices and species accumulation curves are presented for each community. To
99 support descriptions of these communities we present soil, climate and elevation data.
100
101 Materials and methods 102 Study area MANUSCRIPT 103 The Central Highlands Region (CHR) is located in the southeast of the Indochina Peninsula,
104 between longitude 11°11’ N (Lam Dong) to 15°25’ N (Kon Tum), and across longitude
105 107°12’ E ( Đak Nong) to 109°30’E. This region is at the southern end of Annamite Range,
106 Vietnam (Appendix Fig. 1). The majority of the CHR is from 100 to 800 m, although the
107 region also encompasses high mountains, including Ngoc-Linh (2,598 m). The CHR has
108 three main topographic classes: mountains, plateau and plain/delta (Nguy ễn et al 2000).
109 The climate of the CHR is dominated by the Asian monsoon, and is characterised by 110 distinct wet andACCEPTED dry seasons. Range annual rainfall is 1,400 –2,000 mm. The wet season 111 occurs from early May to mid-October, when 85–90% of the annual rainfall occurs. The
112 dry season is from November to April. The CHR covers two main catchments: Ba River ACCEPTED MANUSCRIPT
113 and Mekong Rivers watersheds. The soils of the CHR are derived from sandstone and
114 igneous bedrock and belong to six main groups: Fluvisols, Acrisols, Luvisols, Ferralsols,
115 Leptosols and Gleysols (Berdin et al 1999; Moormann 1961).
116
117 Study design
118 We selected contrasting study sites in natural forests within the forest reserves: (1) Kon Ha
119 Nung special use forest (scientific research) established in 1981 (affected by minor harvest
120 in 1978), (2) Yok Don National Park established in 1986 (undisturbed), and (3) Dam Rong
121 watershed protection forest, established in 1992 (undisturbed). Kon Ha Nung forest reserve
122 has been strictly protected for natural regeneration since 1981, and is representative of
123 intact natural forest (Tran et al. 2013). Environmental conditions in the three study sites are 124 shown in Table 1. The three sites are spread across MANUSCRIPT the CHR (Appendix Fig. 1).
125 Fieldwork was carried out in November 2013, at the end of the wet season. At each site we
126 established two replicate 1 ha-plots (100 x 100 m). These plots were 1 km apart. Each plot
127 was divided into 25 subplots (20 x 20 m; Appendix Fig. 2). At each site, morphology was
128 described using FAO Guidelines For Soil Description (Food And Agriculture Organization
129 Of The United Nations (FAO) 2006). Elevation was recorded using a Garmin GPS 76csX.
130 Slope and aspect (in azimuth) were measured using a Brunton pocket transit. 131 Vegetation wasACCEPTED surveyed within each 20 x 20 m subplot. All trees with stems ≥ 10 cm 132 diameter at breast height (DBH; 1.3 m high) were identified and their positions were ACCEPTED MANUSCRIPT
133 recorded. All woody species were identified using An Illustrated Flora of Vietnam (Pham
134 1999).
135 Soil samples were taken from a subset of five of the 20 x 20 m subplots (Appendix Fig. 2).
136 First, we prepared and described a soil profile down to bedrock/1.5 (FAO 2006). A set of
137 soil samples was taken from the soil profile at depth intervals 0–20 cm, 20–40 cm, and 40–
138 60 cm. Each sample for analysis was a subsample from a bulked and mixed set of four
139 samples for each depth. Soil sample preparation and analysis followed standard methods
140 (Rayment and Higginson 1992). The analysis included total organic carbon (Walkley-
141 Black), total nitrogen (Kjeldahl), available phosphorus (Oniani, 0.1M H 2SO 4; Oniani et al
142 1973), soil-exchangeable cations (ammonium acetate extract - Rayment and Higginson
143 1992). 144 MANUSCRIPT 145 Data analysis
146 The data used for analysis included all trees with DBH ≥ 10 cm, in three sites, each of
147 which had two one-hectare plots, and each plot encapsulating 25 subplots. Four additional
148 400 m 2 subplots were surveyed adjacent to the main plot in Yok Don, because of the
149 noticeably different forest that occurred there (to better represent the range of forest types at
150 Yok Don). In total there were 154 subplots. ANOVA was undertaken to compare key soil 151 variables amongACCEPTED communities; Fligner tests were used to check the homogeneity of 152 variance. Differences among sites were assessed using adjusted P-values calculated in
153 Tukey's HSD tests. Multiple comparisons increase the risk of Type 1 error; for this reason ACCEPTED MANUSCRIPT
154 only P-values < 0.001 are considered significant. All analyses were conducted in R version
155 3.0.3 (2014-03–06) (R Core Team).
156
157 Identifying communities and indicator species
158 The raw matrix used for analysis contained the counts of occurrence of each species
159 according to subplot. To identify subplots with similar species composition, and hence
160 identify community types, we used Ward's hierarchical cluster analysis (Ward’s minimum
161 variance method) with the Bray-Curtis indices as a measure of dissimilarities, in the Vegan
162 package for R (Oksanen et al 2013). This is a hierarchical agglomerative method of
163 vegetation classification, with advantages such as the ability to produce groupings at
164 multiple levels. However, a drawback of this method is that to define new groupings (i.e., if 165 new data are added) the whole classification needsMANUSCRIPT to be re-built, and that it has a low 166 robustness to sampling variation (De Cáceres et al 2015).
167 Species indicator values (INDVAL) were calculated using the package Indicspecies (De
168 Cáceres and Legen dre 2009; Dufrêne and Legendre 1997). Indicator values are calculated
169 for each species based on its abundance within the community, also known as “specificity”,
170 and presence/absence or “fidelity” to communities.A subset of potential indicator species
171 were separated from the total species list as species where P ≤ 0.05. Several indicator 172 species were chosenACCEPTED to characterise each community. 173 Indicator species can provide information on the presence and status of a range of other
174 species. Some indicator species are stenotopic, that is, where the species is indicator of only ACCEPTED MANUSCRIPT
175 one community; other indicator species are eurytopic, where they are indicators of several
176 communities. A good indicator species (stenotopic species) can be used to reduce costs in
177 inventory and monitoring, not only for environmental change, but also biodiversity
178 (Williams and Gaston 1994).
179
180 Calculating site and community biodiversity
181 Three biodiversity indices, Shannon, Simpson, and Evenness, were calculated for each site
182 and each community using the BiodiversityR package (Kindt and Coe 2005). While species
183 richness, or number of species, is the simplest measure of biodiversity, Shannon and
184 Simpson diversity indices account for relative abundances in addition to richness. Simpson
185 biodiversity is weighted towards dominant/common species, and is not sensitive to the MANUSCRIPT 186 occurrence of rare species with few individuals, whereas Shannon diversity is weighted 187 equally towards rare and common species (Magurran 1988). Finally Evenness indicates
188 how well individuals are spread among species; low values indicate a small number of
189 species dominate, and high numbers indicate a spread among many species (Magurran
190 1988). Abundance here is simply number of stems per subplot.
191 Species accumulation curves were generated in Vegan (Oksanen et al 2013). The
192 Chapman-Richards model was used to fit the curves (Flather 1996) for six communities 193 (Appendix TableACCEPTED 1). The models have upper asymptote as α parameter and other 194 parameters b or c (or both), and the inflection point, relative to the upper asymptote.
195 ACCEPTED MANUSCRIPT
196 Results
197
198 Tree communities and their indicator species and biodiversity indices
199 Across the three sites, in a total of six plots and 154 subplots, we recorded 3,732
200 individuals from 157 species. A complete list of species is presented in Appendix Table 2.
201 Cluster analysis identified six communities (Fig. 1). The first subdivision separates forests
202 into two main groups by elevation, a lowland group (Yok Don) and a highland group (Dam
203 Rong and Ha Nung). The next subdivision resulted in six clusters in total, each cluster
204 representing a community.
205 There were three communities in Yok Don, two at Dam Rong and one at Ha Nung. Yok
206 Don, at the lowest elevation (192 m), was dominated by deciduous (dipterocarp) forest 207 (Appendix Fig. 4). In contrast, Dam Rong (elevation MANUSCRIPT 924 m) and Ha Nung (elevation 686 m) 208 were dominated by evergreen forest (Appendix Fig. 4). It is notable that Ha Nung, rather
209 than lower-elevation Yok Don, had the lowest annual rainfall at 1,533 mm. Dam Rong had
210 the highest at annual rainfall 1,865 mm, and a higher number of rain days (Table 1).
211 The Highland Floodplain (HLF) community had the greatest number of species (85
212 species), although it also had the highest total area sampled of 2.0 ha, with modelling
213 suggesting that this figure is approaching the true number of species for this community ( α
214 = 86.89). The lowest species richness was found in Lowland Deciduous – type 2 (LLD2)
215 community inACCEPTED Yok Don, at only 12 species identified in 1.0 ha. This figure is also near the
216 estimated true number of species (14.2 species). ACCEPTED MANUSCRIPT
217 Across the three sites we found 15 rare and threatened species, of which 12 species are on
218 the the IUCN Red List (Table 2), ranging from Near Threatened (NT) to Endangered (EN)
219 or with Data Deficient (DD) status, and an additional three species on the Vietnam Red List
220 ( Vietnamese Academy of Science and Technology 2007) which were not listed or listed as
221 least concern, by IUCN. The communities with the highest number of rare and threatened
222 species were HLF and LLM, each with six species.
223 Ninety-nine indicator species were selected from the total group of 157 species. Of these,
224 69 species were associated with one cluster (community), 22 species were associated with
225 two clusters, seven species were associated with three clusters, one species was associated
226 with four clusters and five species showed no association.
227
228 Lowland tree communities (Yok Don) MANUSCRIPT
229 Lowland dry deciduous (type 1):
230 Twelve subplots were characterised by Lowland Dry Deciduous community (type 1;
231 LLD1). LLD1 only occurred at Yok Don, and was the least common community in this
232 study.
233 The most common species in this community were, in order of dominance, Dillenia hookeri ,
234 Shorea obtusa , Xylia xylocarpa , Dipterocarpus obtusifolius and Dipterocarpus 235 tuberculatus . TwoACCEPTED individuals of Sindora siamensis , listed as Endangered in Vietnam, were 236 also found. ACCEPTED MANUSCRIPT
237 Dipterocarpus tuberculatus and Dillenia hookeri were identified as indicator species.
238 Dillenia hookeri was only present in LLD1 subplots (indicator value = 90.5 ***), and D.
239 tuberculatus was present in 82% of subplots characterised as LLD1 (indicator value = 57.7
240 ***).
241 Subplot-scale species richness for LLD1 ranged from 4 to 11 (Table 3), and a total of 21
242 species were recorded in this community (Fig. 3). This is the second lowest total number of
243 species for a community, although LLD1 also occupied the smallest number of subplots of
244 any community. However, 21 species was far from the asymptote/ total number of species
245 (63.03 species). LLD1 had the second highest stem abundance of all communities in the
246 study.
247
248 Lowland dry deciduous (type 2): MANUSCRIPT
249 Lowland Dry Deciduous community (type 2; LLD2) was the most common community at
250 Yok Don, occurring in 25 subplots.
251 The most common species in this community were Mitragyna speciosa , Shorea obtusa ,
252 Dipterocarpus tuberculatus , Terminalia chebula and Terminalia alata . The plots in this
253 community included no rare or threatened species. Terminalia alata (indicator value =
254 80.0***) and Terminalia chebula (indicator value = 66.3***) were both common species, 255 and were identifiedACCEPTED as the best indicator species for LLD2. 256 Mean species richness at the subplot scale for LLD2 was 3.52, and ranged from 2 to 5. The
257 species accumulation curve showed a total of 12 species, and this was near asymptote at ACCEPTED MANUSCRIPT
258 14.16 species. LLD2 had the lowest species richness of all communities in this study, and
259 the lowest stem abundance. LLD2 had the second highest evenness of all communities in
260 the study.
261
262 Lowland Mixed forest:
263 The Lowland Mixed forest community (LLM) occurred in 17 subplots and was
264 characterised by indicator species Shorea siamensis (indicator value = 70.2***), which
265 occurred almost exclusively in this community (93% of occurrence in LLM subplots),
266 although it was not present at all LLM forest sites (only 53%).
267 The most common species in LLM were Hopea pierrei , Shorea siamensis , Shorea obtusa , 268 Dipterocarpus obtusifolius and Dipterocarpus tuberculatusMANUSCRIPT. We also found six rare and 269 threatened species. These were the IUCN Red-listed Endangered species Hopea pierrei ,
270 Hopea recopei , Anisoptera costata, Shorea roxburghii and the Vietnam Red-listed Sindora
271 siamensis (Endangered) and Pterocarpus macrocarpus (Vulnerable).
272 The LLM community had the highest subplot species richness of all the communities at
273 Yok Don at 6.1 species (range 3 to 10), and also the highest Shannon and Simpson diversity
274 (1.45 and 0.69). The total number of species recorded was 32, across 17 subplots, and
275 modelling suggested true species richness was 39.62 (Appendix Table 1, Fig. 3).
276 ACCEPTED
277 Highland tree communities (Ha Nung and Dam Rong)
278 Highland Floodplain: ACCEPTED MANUSCRIPT
279 The Highland Floodplain (HLF) community characterised all subplots at Ha Nung (50
280 subplots). The most common species were Aglaia perviridis , Syzygium sp ., Machilus
281 odoratissima , Pavieasia annamensis , Michelia floribunda and Polyalthia cerasoides . We
282 also identified six rare and threatened species: the IUCN Red-listed Knema pierrei ,
283 Mangifera minutifolia, Xylopia pierrei (all Vulnerable), Nageia fleuryi (Near-Threatened)
284 and Michelia floribunda – which is listed as Data Deficient but was common at this site.
285 Data Deficient species have inadequate data for threat assessment and because of this they
286 are often treated as threatened (IUCN 2001). We also found the Vietnam Red-listed species
287 Aglaia spectabilis .
288 The set of indicator species for this community was complex with 16 species. The species
289 were, in order of indicator value: Michelia floribunda (indicator value = 88.3***) and 290 Polyalthia cerasoides (indicator value = 82.5***),MANUSCRIPT both common species, followed by 291 Nephelium lappaceum , Machilus odoratissima , Syzygium sp ., Cinnamomum bejolghota ,
292 Baccaurea harmandii , Syzygium zeylanicum , Grewia bulot , Symplocos laurina , Symplocos
293 laurina var. acuminata , Wendlandia paniculata , Symplocos lancifolia , Cinamomum sp .,
294 Canarium album , and Prunus arborea (indicator value = 51.0***).
295 This community also had the highest mean subplot species richness, at 16 species (range 8
296 to 22), compared to all other communities in the study. Similarly, it had the highest
297 Simpson and Shannon diversities. The total number of species recorded in this community
298 was 85 – by thisACCEPTED measure HLF was clearly the richest of species of all communities. This
299 figure was near the estimate of asymptote of 86.89. The species accumulation curve shows
300 HLF tracking higher than all other communities, even at lower subplot counts. ACCEPTED MANUSCRIPT
301
302 Highland upslope and lowslope forests:
303 There were two communities at Dam Rong: Highland Upslope (HLUS) in 26 subplots, and
304 Highland Lowslope (HLLS) in 24 subplots (Table 3).
305 The most common species in HLUS and HLLS were Psychotria poilanei , Machilus
306 parviflora and Castanopsis hystrix . The two communities differ in that HLUS had the
307 additional common species Lithocarpus stenopus and Podocarpus neriifolius , while HLLS
308 was characterised by Michelia mediocris and Gomphia striata .
309 The communities also shared the rare and threatened species Knema pierrei (Vulnerable).
310 HLLS had the additional Vietnam Red listed species Lithocarpus truncatus , while HLUS 311 had the IUCN Red-listed Hopea pierrei . MANUSCRIPT 312 The indicator species for these two highland communities (together) were, in order of
313 indicator value, Castanopsis hystrix (indicator value = 100***) and Machilus parviflora
314 (indicator value = 94.9***), both common species, followed by Beilschmiedia
315 roxburghiana , Gomphia striata , Canarium subulatum , Michelia mediocris , Archidendron
316 robinsonii , Pyrenaria jonquieriana , Eriobotrya angustissima and Magnolia candollei
317 (indicator value = 56.6 **). Castanopsis hystrix is a perfect indicator species for these
318 communities, as it was present in all sites. In addition, Machilus parviflora occurred only in 319 this community.ACCEPTED ACCEPTED MANUSCRIPT
320 HLUS had a good indicator species in Podocarpus neriifolius (indicator value = 96.3),
321 while the species with the highest indicator value for HLLS was Cinnamomum iners
322 (indicator value = 67.0).
323 HLLS mean subplot species richness was 15.7 species, lower than HLF at Ha Nung.
324 However, HLLS species ranged from 10 to 23, the highest minimum and maximum species
325 richness in this study – higher than HLF. The subplot species richness of HLUS was similar
326 to HLLS at 15.3 species (range 8 to 22). HLLS was also characterised by the highest
327 abundance. Despite occurring in similar numbers of subplots, species accumulation curves
328 showed that HLLS (24 subplots, 58 species) was more species rich than HLUS (26 subplots,
329 47 species). Modelled curve asymptotes similarly showed HLLS with more species than
330 HLUS (59.03 compared to 49.17 species). 331 MANUSCRIPT 332 Relating communities to soil factors
333 The topsoils of all communities were strongly acidic (Table 4). All nutrients (except
334 nitrogen) were at low to very low levels across all sites. Nitrogen levels were medium to
335 high at the Ha Nung and Dam Rong plots, and equivalent to four to five times the levels
336 recorded at Yok Don. Phosphorus levels were low to very low at all sites, but again they
337 were two to three times higher at Ha Nung and Dam Rong compared with Yok Don. Base 338 saturation percentagesACCEPTED were low at the Ha Nung and Dam Rong sites and moderate at Yok 339 Don. ACCEPTED MANUSCRIPT
340 Key plant nutrients, nitrogen, phosphorous and potassium varied significantly among
341 communities (Appendix Table 3, Appendix Fig. 3). In general, nitrogen, phosphorous and
342 potassium were lower at the low elevation communities (LLD1, LLD2 and LLM; Yok Don)
343 compared to the high elevation communities (HLLS, HLUS, HLF). Exchangeable calcium
344 levels were recorded as low in the topsoils across all the communities and
345 calcium/magnesium ratios were also low.
346 Within Yok Don there were significant differences in soil among communities, in particular
347 the soils at LLD2 had significantly more silt/significantly less sand than the soils at LLD1
348 and LLM (which were not significantly different from one another; Table 4, Appendix
349 Table 3, Appendix Fig. 3, Appendix Fig. 5). LLD2 also had higher exchangeable
350 magnesium than LLM (not significant at P < 0.001 level). LLM and LLD1 could not be 351 easily differentiated in terms of soil; the biggestMANUSCRIPT difference was that LLD1 had lower pH, 352 but this difference was not significant. The two communities within Dam Rong had no
353 significant differences.
354 All sites (and communities) had soils that were acidic, leached and generally low in
355 nutrients. These issues would be ameliorated to some extent by the depth of the soils at Ha
356 Nung and Dam Rong, which would provide a larger total biodiversity resource. This is in
357 contrast to the soils Yok Don, which was much shallower.
358 ACCEPTED 359 Discussion
360
361 Community and site species richness ACCEPTED MANUSCRIPT
362 This study describes six distinct communities at three forest sites. The communities defined
363 in this study extend the vegetation community classification of Vietnam (Thái 1999), by
364 providing a detailed and objective analysis of communities at the fine scale(< 1000 m2),
365 using hierarchical agglomerative modelling. Based on Thái (1999) the communities at Ha
366 Nung and Dam Rong, and LLM in Yok Don, were simply classified as closed evergreen
367 moist tropical forest, while LLD1 and LLD2 were classified as open broadleaf dry tropical
368 forest.
369 Species richness varied considerably among communities, and according to size of sample
370 area (i.e., subplot versus plot). The highest mean subplot species richness, 16 species/400
371 m2 (trees > 10 cm DBH), was within the HLF community at Ha Nung. The mean species
372 richness of forests at Dam Rong was slightly lower (15.7 and 15.3 species/400 m 2). These 373 results demarcate the highland forests of the CentrMANUSCRIPTal Vietnam as being characterised by 2 374 species richness comparable tropical forests of Pasoh, Malaysia (18.8 species/400 m ), and
375 higher than tropical forests at Barro Colorado Island, Panama and Mudumalai, India (12.5
376 species/400 m 2 and 5.2 species/400 m 2, respectively; Condit et al 1996). Outside tropical
377 regions, studies have shown mean tree species richness of 1 to 7.8 species/400 m 2 (in New
378 Zealand; Bellingham et al 1999). Moreover, if we consider maximum (cf. mean) species
379 richness, HLLS forest species richness at Dam Rong (24 species/400 m 2) is higher again.
380 At the plot scale (1 ha), Ha Nung had a maximum species richness of 70 species/ha, and 381 Dam Rong, 55ACCEPTED species/ha. These values are much lower than the Pasoh (206 species/ha) 382 and Barro Colorado Island (91 species/ha), but still higher than Mudumalai (22 species/ha)
383 (Condit et al 1996). The highest recorded species richness at this scale is tropical rainforest ACCEPTED MANUSCRIPT
384 in Ecuador at 942 species/ha (Wilson et al 2012). Compared to tropical forests from across
385 the world, the species richness of highland forests of Vietnam (HLF, HLLS, HLUS) are
386 ranked highly at smaller scales (subplot or 400 m 2), but lower at larger scales (plot or1 ha).
387 Species accumulation curves have historically been used to assist in determining adequate
388 sampling regimes, characterising community structure and estimating species richness (He
389 et al 1997). The key to this process is whether the species accumulation curve approaches
390 or reaches asymptote (with no or few species being added with additional sampling effort
391 indicating adequate sampling). In our study, the communities nearer to asymptote,
392 indicating adequate sampling, were LLD2 (25 subplots, total number of species = 12, α =
393 14.16), HLLS (24 subplots, total number of species = 58, α = 59.03), HLUS (26 subplots,
394 total number of species = 48, α = 49.17) and HLF (50 subplots, total number of species = 395 85, α = 86.89). Alternatively LLM (17 subplots, MANUSCRIPTtotal of species = 32, α = 39.62) and LLD1 396 (12 subplots, total number of species = 21, α =63.03) were further from reaching asymptote,
397 and require larger survey area (more than 50 and 600 subplots for LLM and LLD1,
398 respectively) to adequately capture species richness and community characters (Fig. 3,
399 Appendix Table 1).
400
401 Community richness 402 In contrast to ACCEPTEDthe highland sites, Yok Don had very low mean subplot species richness (4.8 403 species/400 m 2). The occurrence of low diversity forests in the tropics is not uncommon,
404 Huston (1994) describes their association with extreme soil conditions, using ACCEPTED MANUSCRIPT
405 Dipterocarpaceae in Malaysia on very wet and very dry soils as an example. Indeed, the
406 soils at Yok Don were sandy, and low in nutrients, but rainfall was relatively high. On the
407 other hand, Yok Don had three distinct communities, where the same analysis of the same
408 size survey area resulted in only one community defined in species-rich Ha Nung. This
409 result indicates that the spatial co-occurrence of species at Yok Don was more
410 heterogenous at smaller scales, compared to the other sites. Community diversity at Yok
411 Don is likely to be driven by soil heterogeneity; previous studies have correlated
412 dipterocarp species distributions with soil characters (Sukri et al 2012; Webb and Peart
413 2000; see below: Environmental drivers of tree community diversity). Despite low overall
414 species richness, because of its high community diversity, Yok Don should be also be
415 considered of high conservation value. 416 MANUSCRIPT 417 Communities and indicator species: lowland
418 The indicator species for LLD1 (Yok Don) were Dipterocarpus tuberculatus
419 (Dipterocarpaceae) and Dillenia hookeri (Dilleniaceae). These species were common in the
420 study plots. Dipterocarpus tuberculatus is a large tree growing to 15-20 m in height, with
421 typical DBH of 30 cm (but up to 60 cm). It is a light-demanding tree that grows well on
422 many soil types, and is distributed predominately in the Western Highlands and in the 423 Southeast regionsACCEPTED of Vietnam (Nguyen 2013). Dipterocarpus tuberculatus , with several 424 other Dipterocarpus species, is characteristic of the dry deciduous dipterocarp forest that is
425 widespread in Southeast Asia (Stott 1990). Dipterocarpus tuberculatus is the most common
426 dipterocarp at Yok Don (Nguyen and Baker 2016). Dillenia hookeri occurs in southern ACCEPTED MANUSCRIPT
427 Vietnam, Cambodia, Thailand and Laos. It is a small tree, although it can occur as a shrub
428 in dry areas. It is primarily found at higher elevations, particularly in humid or wet areas in
429 the Central Highlands of Vietnam (Tr ần 2002).
430 LLD2 (Yok Don) was characterised by the indicator species Terminalia alata and
431 Terminalia chebula (Combretaceae). These species were common in LLD2, but uncommon
432 in LLD1, making these communities easy to distinguish. Terminalia alata is a deciduous
433 tree that grows to 35 m, and prefers moderately dry sites. It has a distribution that extends
434 across Asia. Terminalia chebula is also deciduous, and grows to 20 m, preferring slightly
435 moister sites and extending to lower elevations than Terminalia alata (Gardner 2000). Both
436 species are typically found in semi-open forests. Jackson (1994) s reported that Terminalia
437 alata seedlings are shade intolerant. Moreover, in tropical southern India, Terminalia alata 438 is a savanna tree, but has a role in forest extensi MANUSCRIPTon, as it provides microclimatic conditions 439 for forest tree seedling establishment by reducing grass cover (Puyravaud et al 1994).
440 Eventually forest tree seedlings establish, and can prevent Terminalia alata seedlings from
441 recruiting (Puyravaud et al 1994). In contrast, Terminalia chebula is described as a slow-
442 growing, late successional species (Khurana and Singh 2004). Terminalia chebula has large
443 seeds that can increase dormancy in response to water stress, and has relatively drought
444 tolerant seedlings (Khurana and Singh 2004).
445 The indicator species for LLM forest community was Shorea siamensis , also from
446 Dipterocarpaceae.ACCEPTED It was uncommon in LLD1 and LLD2, but common in LLM2. Shorea
447 siamensis is typical of dry deciduous dipterocarp forests in Vietnam, Indonesia, Malaysia,
448 Myanmar and Thailand (IUCN 2001). It is a large deciduous tree growing to 30 m in height, ACCEPTED MANUSCRIPT
449 and 80 cm DBH. Shorea siamensis is drought tolerant, growing in hot dry conditions on
450 poor sandy soil, to elevations of 1,000 m (Nguyen 2013), where it occurs at low density.
451 Nguyen and Baker (2016) recorded low numbers of Shorea siamensis seedlings at Yok Don,
452 highlighting a possible regeneration bottleneck. Ghazoul et al (1998) noted that viable seed
453 production can be pollen limited, because Shorea siamensis is self-incompatible. In terms
454 of rare and threatened species, the presence of four Endangered Dipterocarpaceae species,
455 Anisoptera costata , Hopea pierrei , Hopea recopei and Shorea roxburghii in LLM at Yok
456 Don is significant. These species are on the IUCN Red List because of population
457 reductions. Hopea recopei and Hopea pierrei are characterised by the additional threat of
458 occurring only in a small area, with Hopea pierrei thought to have a population of less than
459 250 mature individuals (IUCN Endangered [Criterion D]). This is interesting as Hopea
460 pierrei was the most common threatened species in the LLM community at Yok Don. MANUSCRIPT 461
462 Communities and indicator species: highland
463 The HLF forest community (Ha Nung) was characterized by the indicator species Michelia
464 floribunda (Magnoliaceae) and Polyalthia cerasoides (Annonaceae). Michelia floribunda is
465 an evergreen tree that grows to 20 m, typically found in less-disturbed forests above 1500
466 m (Gardner et al 2000) and is listed as a Data Deficient species by the IUCN (IUCN 2001). 467 Michelia florbundaACCEPTED is a dominant species in some evergreen forests in mountainous China 468 (Gong et al 2013), and Thailand (Viranant et al 2009). Michelia species are considered to
469 be shade tolerant (Tang et al 2013). The other indicator species, Polyalthia cerasoides, is a ACCEPTED MANUSCRIPT
470 medium-sized tree, growing to 10-20 m and 20-50 cm in diameter, and is found in Vietnam,
471 China, Laos, Cambodia and India (Tr ần 2002).
472 HLF had the highest number of rare and threatened species. Both Knema pierrei
473 (Myristicaceae), Mangifera minutifolia (Anacardiaceae) exist only in Vietnam and are
474 threatened by small population and area of occupancy (IUCN Criterion D2). Knema pierrei
475 is medium-sized tree, growing to 15-20 m height. It is shade tolerant, grows in moist soil,
476 and is associated with lowland tropical moist forest, but has a widely scattered distribution
477 in Vietnam (Tr ần 2002). Xylopia pierrei (Annonaceae) is found in Vietnam and Cambodia,
478 and is listed as Vulnerable because of population declines (IUCN Criterion A1a). Nageia
479 fleuryi (Podocarpaceae) is near threatened because of population declines – its timber is
480 highly valued. Generation length for Nageia fleuryi is thought to be 30 years (Thomas 481 2013). Nageia fleuryi occurs in Vietnam, Laos and MANUSCRIPT China. 482 The highland forest groups (HLUS and HLLS) had indicator species Castanopsis hystrix
483 (syn. Castanopsis purpurella subsp. purpurella ) (Fagaceae) and Machilus parviflora
484 (Lauraceae). Castanopsis hystrix is listed as vulnerable in Vietnam’s Red Data Book of rare
485 and endangered species, and studies of montane forest in northwest Vietnam place it as
486 only occurring in core/undisturbed areas of reserves (Dao and Hölscher 2015). Machilus
487 parviflora (prev. Persea minutiflora ) is a medium-sized tree (12-14 m) occurring in
488 Vietnam, India and Laos. Machilus parviflora regenerates well in shade, and at high
489 humidity on fertileACCEPTED soil (Tr ần 2002). This species is distributed in primary forest in north-
490 east, north-central and the Central Highlands of Vietnam (Tr ần 2002). All these
491 communities had recordings Knema pierrei which is classified as vulnerable species. ACCEPTED MANUSCRIPT
492 The factors distinguishing HLLS and HLUS are that HLUS had a strong indicator species,
493 Podocarpus neriifolius (indicator value = 96.3), and included records of the rare and
494 threatened species Hopea pierrei . Alternatively HLLS was characterised by an indicator
495 species with an indicator value of only 67 ( Cinnamomum iners ) and had no unique rare or
496 threatened species records.
497
498 Environmental drivers of tree community diversity
499 Our study sites were positioned across the Central Highlands, varying in elevation by
500 almost 800 m. A key factor driving the differences among sites is elevation, which affects
501 climate and has an impact on soil. The role of climate in determining the distributions of
502 ecosystems, at broader spatial scales, is well known (Schimper et al 1903); desert, grassland, MANUSCRIPT 503 forest distributions across the world are predicted by temperature and precipitation 504 (Holdridge, 1947). Indeed, the distributions of evergreen and deciduous forests at higher
505 and lower elevation, respectively (as seen in this study) are controlled by seasonal water
506 availability (as in Vázquez and Givnish 1998). Dam Rong is higher (924 m), cooler, wetter
507 (1,865 mm/ year rainfall), and has clay loam soils, and Yok Don is lower (192 m) and
508 hotter, and although it receives more rainfall (1,789 mm/year), its shallow sandy loam soils
509 have lower capacity to capture and store water for extended periods. Ha Nung, at the north 510 of the CHR, ACCEPTED is at 686 m, is on clay-dominated soils and is characterised by the lowest 511 rainfall of all sites at 1,533 mm/yr. The relationship between elevation and diversity is
512 complex. For example, Van der Ent et al (2016) showed plant diversity decreasing with
513 elevation in Borneo, while Teejuntuk et al (2003) showed diversity increasing with ACCEPTED MANUSCRIPT
514 elevation in the montane forests of Thailand. In this study the highest diversity was at Ha
515 Nung/HLF, at the ‘middle’ elevation.
516 High plant diversity has also been related to complex and changing topography,
517 microclimate and soil physical and chemical characteristics. This occurs where there is a
518 great variety in soil parent material and geomorphological processes are strongly active,
519 (such as in high rainfall, hilly upland country) (Sollins 1998). This is broadly true for our
520 study, the upland sites did have higher diversity. But the highest species diversity did not
521 occur with the highest soil variability (Ha Nung and Yok Don, respectively). High diversity
522 has also been related to low fertility (Nadeau and Sullivan 2015; Toledo et al 2012)
523 although Ha Nung/HLF (was not significantly lower than the other sites in the nutrients
524 tested. There are myriad climate-soil-vegetation feedbacks, and the complexity of these 525 relationships means there is no single driver MANUSCRIPT of. For example, while Yok Don is 526 characterised by the high rainfall, its shallow soils combine with low levels of nutrients to
527 create a more stressful edaphic environment than at the other sites.
528 The relationships between species composition and soil in dipterocarp forests, such as those
529 in Yok Don, have been researched extensively. Webb and Peart (2000) in Borneo found
530 that mature tree species composition was strongly correlated with topography and soil
531 characteristics. Key soil characteristics related to dipterocarp distribution have included
532 texture, carbon content, pH, depth, drainage and nutrient status (Davies et al 2005;
533 Palmiotto et alACCEPTED 2004; Slik et al 2009). Annual rainfall, rainfall seasonality and droughts are
534 an important influence on these forests (Slik et al 2009). We found clear differences in soil
535 texture between distinct forest tree communities growing alongside each other at Yok Don. ACCEPTED MANUSCRIPT
536 LLD2 (dominated by Mitragyna speciosa , Shorea obtusa and Dipterocarpus tuberculatus )
537 had significantly higher silt, and less sand, than nearby LLD1 and LLM. LLD1 and LLM
538 were more difficult to differentiate in terms of soil, although there were clear distinctions in
539 species composition, LLM dominated by Hopea perreri and Shorea siamensis and LLD1
540 dominated by Dillenia hookeri and Shorea obtusa .
541 The results from Yok Don support previous studies, which indicated that differences in
542 dipterocarp community composition correlate with soil texture (which is acting as a
543 surrogate for soil nutrients) (Davies et al 2005; Palmiotto et al 2004). Key soil factors
544 driving differences in forest tree communities at Dam Rong and Ha Nung are less clear;
545 however, there was some evidence that potassium differed among communities at Dam
546 Rong. The forest communities described in this study, particularly those at Yok Don, are 547 growing in remarkably low nutrient environments. MANUSCRIPT The nutrient dynamics at play between 548 the low nutrient, acidic soils, and the diverse and complex plant communities are likely to
549 be finely balanced. The species present in all of these forests appear to have adapted to
550 challenges, such as deficiency and toxicity, caused by very low pH.
551 Beyond local-plant soil relationships, there is scope to develop this Central Highlands
552 forest survey elevation transect (currently three points: 192 m, 686 m and 924 m) and test if
553 forests of Vietnam follow trends identified by other transect-based research, such as in
554 Mexico (Vazquez and Givnish, 1998) and Malaysia (Kitayama 1992; Palmiotto et al
555 2004). Moreover,ACCEPTED these little-studied forests provide new opportunities to test theoretical
556 relationships, such as between tropical plant diversity and soil fertility, known from other
557 tropical evergreen forests (Gentry 1988; Huston, 1980), and dipterocarp forests (Davies et ACCEPTED MANUSCRIPT
558 al 2005; Palmiotto et al 2004). Finally, the low soil fertility that characterises these
559 communities indicates that they are likely to contain a larger proportion of total ecosystem
560 nutrients in the standing biomass (compared with systems with higher soil nutrient pools).
561 For this reason, these forest tree communities highly susceptible to damage through the
562 unrestricted removal of that biomass (e.g. harvesting or fire). The nutrient dynamics of
563 these systems need to be better understood in order to be able to manage them into the
564 future.
565
566 Conclusion
567 The forests of the Central Highlands of Vietnam are biologically significant, threatened and
568 poorly described in the international scientific literature. From three sites, spanning 800 m 569 elevation, we describe six forest communities, MANUSCRIPT their indicator species and soil 570 characteristics. Patterns in diversity varied with scale and methods: species richness ranged
571 from a mean of five to 23 species/400 m 2 subplot, whereas sites (2 ha) had one to three
572 communities. Remarkably, the site with the lowest subplot species richness was also the
573 site with the most communities, and poorest soils. Many questions remain about drivers of
574 diversity in these forests - and this study provides a strong baseline.
575 576 Conflicts of interestACCEPTED 577 The authors declare that there is no conflicts of interest.
578 ACCEPTED MANUSCRIPT
579 Acknowledgments
580 For field work and data collection, we thank: Tran Hoang Hoa, Ngo Van Cam For
581 assistance with analysis: Jerry Vanclay and Michael Whelan. For comments on earlier
582 drafts of this manuscript: Tran Van Con. Funding: Australian Development Scholarship.
583
584 References
585 Balmford A, Whitten T. 2003. Who should pay for tropical conservation, and how could 586 the costs be met? Oryx 37: 238–250.
587 Bellingham PJ, Stewart GH, Allen RB 1999. Tree species richness and turnover throughout 588 New Zealand forests. Journal of Vegetation Science 10: 825–832.
589 Berdin FR, Tran MT, Truong DT, Tran VH Deckers J, Langohr R. 1999. Soil resources of 590 Gialai Province: Correlation of the Vietnamese Soil Classification System with the World 591 Reference Base for Soil Resources . K.U. Leuven University, Belgium, Internal Project 592 Report—NIAPP-KULeuven, Land Evaluation forMANUSCRIPT Land Use Planning and Development of 593 Sustainable Agriculture in South Vietnam.
594 Biondi E, Zuccarello V. 2004. Modelling environmental responses of plant associations: a 595 review of aome critical concepts in vegetation study. Critical Reviews in Plant Sciences 23: 596 149–156.
597 Blanc L, Maury-Lechon G, Pascal JP. 2000. Structure, floristic composition and natural 598 regeneration in the forests of Cat Tien National Park, Vietnam: An analysis of the 599 successional trends. Journal of Biogeography 27: 141–157.
600 Chapin FS, Zavaleta ES, Eviner VT, Naylor RI, Vitousek PM, Reynolds Hl et al. 2000. 601 Consequences of changing biodiversity. Nature 405: 234–42.
602 Condit R, Hubbell SP, Lafrankie JV, Sukumar R, Manokaran N, Foster RB, Ashton PS. 603 1996. Species-areaACCEPTED and species-individual relationships for tropical trees: a comparison of 604 three 50-ha plots. Journal of Ecology 84: 549–562. ACCEPTED MANUSCRIPT
605 Dao THH, Hölscher D. 2015. Red-listed tree species abundance in montane forest areas 606 with differing levels of statutory protection in north-western Vietnam. Tropical 607 Conservation Science 8: 479–490.
608 Davies SJ, Tan S, Lafrankie JV, Potts MD. 2005. Soil-related floristic variation in a 609 hyperdiverse dipterocarp forest. Ecological Studies: Pollination Ecology and Forest 610 Canopy : 22–34.
611 De Cáceres M, Legendre P. 2009. Associations between species and groups of sites: indices 612 and statistical inference. Ecology 90: 3566–3574.
613 De Cáceres M, Chytrý M, Agrillo E, Attorre F, Botta-Dukát Z, Capelo J, et al. 2015. A 614 comparative framework for broad-scale plot-based vegetation classification. Applied 615 Vegetation Science 18: 543–560.
616 Dufrêne M, Legendre P. 1997. Species assemblages and indicator species the nees for a 617 flexible asymmetrical approach. Ecological Monographs 67: 345–366.
618 Flather CH. 1996. Fitting species-accumulation functions and assessing regional land use 619 impacts on avian diversity. Journal of Biogeography 23: 155–168.
620 Food And Agriculture Organization Of The United Nations. 2006. Guidelines for Soil 621 Description (Fourth). Rome: FAO. MANUSCRIPT 622 Gardner S, Sidisunthorn P, Anusarnsunthorn V. 2000. A field guide to forest trees of 623 northern Thailand . Kobfai Publishing Project, Bangkok.
624 Gardner TA, Barlow J, Araujo IS, Ávila-Pires TC, Bonaldo AB, Costa JE, et al. 2008. The 625 cost-effectiveness of biodiversity surveys in tropical forests. Ecology Letters 11: 139–150.
626 General Statistical Office of Vietnam (GSO). 2013. Statistical Handbook of Vietnam . 627 (General Statistic Office of Vietnam, Ed.). Statistical Publishing House, Ha Noi.
628 Gentry AH. 1988. Tree species richness of upper Amazonian forests. Proceedings of the 629 National Academy of Sciences of the United States of America 85: 156–159.
630 Ghazoul J, Liston KA, Boyle TJB. 1998. Disturbance-induced density-dependent seed set 631 in Shorea siamensis (Dipterocarpaceae), a tropical forest tree. Journal of Ecology 86: 462– 632 473. ACCEPTED
633 Gibson L, Lee TM, Brook BW, Gardner TA, Barlow J et al. 2011. Primary forests are 634 irreplaceable for sustaining tropical biodiversity. Nature 478: 378–381. ACCEPTED MANUSCRIPT
635 Gong H, Ye W, Hu X, Yang X. 2013. Tree species diversity and related mechanism in an 636 evergreen broad-leaved forest in Ailao Mountains, Yunnan, China. African Journal of 637 Agricultural Research 8: 134–144.
638 Hai NH, Wiegand K, Getzin S. 2014. Spatial distributions of tropical tree species in 639 northern Vietnam under environmentally variable site conditions . Journal of Forestry 640 Research 25: 257–268.
641 He F, Legendre P, Lafrankie JV. 1997. Distribution patterns of tree species in a Malaysian 642 tropical rain forest. Journal of Vegetation Science 8: 105–114.
643 Hoang VS, Baas P, Keßler PJA, Slik JWF, Ter Steege H, Raes N. 2011. Human and 644 environmental influences on plant diversity and composition in Ben En National Park, 645 Vietnam. Journal of Tropical Forest Science 23: 328–337.
646 Holdridge LR. 1947. Determination of World Plant Formations From Simple Climatic Data. 647 Science 105: 367–368.
648 Huston M. 1980. Soil nutrients and tree species richness in Costa Rican forests. Journal of 649 Biogeography 7: 147–157.
650 Huston MA. 1994 . Biological Diversity: The coexistence of species on changing 651 landscapes . Cambridge University Press, Cambridge. MANUSCRIPT 652 IUCN 2001. 2001 IUCN Red List Categories and Criteria: Version 3.1. IUCN Species 653 Survival Commission. IUCN, Gland, Switzerland and Cambridge, UK. .
654 Jackson JK. 1994. Manual of afforestation in Nepal (2nd ed.). Forest Resarch and Survey 655 Centre, Kathamandu.
656 Khurana E, Singh JS. 2004. Germination and seedling growth of five tree species from 657 tropical dry Ffrest in relation to water stress: Impact of seed size. Journal of Tropical 658 Ecology 20: 385–396.
659 Kindt R, Coe R. 2005. Tree diversity analysis: A manual and software for common 660 statistical methods for ecological and biodiversity studies . World Agroforestry Centre 661 (ICRAF), Nairobi.
662 Kitayama K. 1992.ACCEPTED An altitudinal transect study of the vegetation on Mount Kinabalu, 663 Borneo. Vegetatio 102: 149–171.
664 Krupnick GA, Kress WJ. 2003. Hotspots and ecoregions: A test of conservation priorities 665 using taxonomic data. Biodiversity and Conservation 12: 2237–2253. ACCEPTED MANUSCRIPT
666 Looijen RC, Van Andel J. 1999. Ecological communities: conceptual problems and 667 definitions. Perspectives in Plant Ecology, Evolution and Systematics 2: 210–222.
668 Magurran AE. 1988. Ecological Diversity and Its Measurement . Springer Netherlands.
669 Meyfroidt P, Lambin EF. 2008. Forest transition in Vietnam and its environmental impacts. 670 Global Change Biology 14: 1319–1336.
671 Meyfroidt P, Vu TP, Hoang VA. 2013. Trajectories of deforestation, coffee expansion and 672 displacement of shifting cultivation in the Central Highlands of Vietnam. Global 673 Environmental Change 23: 1187–1198.
674 Mittermeier RA, Myers N, Thomsen JB, Da Fonseca GAB, Olivieri S. 1998. Biodiversity 675 Hotspots and Major Tropical Wilderness Areas: Approaches to Setting Conservation 676 Priorities. Conservation Biology 12: 516–520.
677 Moormann FR. 1961. The soils of the Republic of Vietnam. Sai Gon, Republic of Vietnam: 678 Ministry of Agriculture.
679 Mucina L. 1997. Classification of vegetation: Past, present and future. Vegetation 680 Description and Data Analysis: A Practical Approach. Journal of Vegetation Science 8: 681 751–760. 682 Myers N. 1988. Threatened biotas: “Hot spots” inMANUSCRIPT tropical forests. Environmentalist 8: 187– 683 208.
684 Myers N, RUSSELL A, Mittermeier RA, Fonseca GAB, Kent J. 2000. Biodiversity hotspots 685 for conservation priorities. Nature 403: 853–858.
686 Nadeau MB, Sullivan TP. 2015. Relationships between plant biodiversity and soil fertility 687 in a mature tropical forest, Costa Rica . International Journal of Forestry Research 2015: 1- 688 13 .
689 Nguyen HH, Uria-Diez J, Wiegand K. 2016. Spatial distribution and association patterns in 690 a tropical evergreen broad-leaved forest of north-central Vietnam. Journal of Vegetation 691 Science 27: 318–327.
692 Nguyen HN. 2013. Atlas of Vietnam’s forest tree species . Agricultural Publishing House, 693 Ha Noi. ACCEPTED
694 Nguy ễn KV, Nguy ễn TH, Phan KL, Nguy ễn TH. 2000 . Bioclimatic Diagrams of Vietnam - 695 Các bi ểu đồ sinh khí h ậu Vi ệt Nam . Ha Noi National University, Ha Noi. ACCEPTED MANUSCRIPT
696 Nguyen TT, Baker P. 2016. Structure and composition of deciduous dipterocarp forests in 697 Central Vietnam: patterns of species’ dominance and regeneration failure . Plant Ecology 698 and Diversity 9: 589-601.
699 Oksanen J, Blanchet FG, Kindt R, Legendre P, Minchin PR, O’Hara RB, et al. 2013. vegan: 700 Community Ecology Package.
701 Olson DM, Dinerstein E, Wikramanayake ED, Burgess ND, Powell GVN, Underwood EC 702 et al. 2001. Terrestrial Ecoregions of the World: A New Map of Life on Earth. BioScience 703 51: 933 - 938.
704 Oniani OG, Chater M, Mattingly GEG. 1973. Some effects of fertilizers and farmyard 705 manure on the organic phoshorus in soils. Journal of Soil Sience 24: 1–9.
706 Palmiotto PA, Davies SJ, Palmiotto PA, Vogt KA, Davies SJ, Vogt KA, et al. 2004. Soil- 707 related habitat specialization in dipterocarp rain forest tree species in Borneo. Journal of 708 Ecology 92: 609–623.
709 Pham HH. 1999. Cây C ỏ Vi ệtnam (An Illustrated Flora of Vietnam ). The Youth Publishing 710 House, Ho Chi Minh City.
711 Phillips OL, Núñez Vargas P, Monteagudo AL, Cruz AP, Zans MEC, Sánchez WG, et al. 712 2003. Habitat association among Amazonian treeMANUSCRIPT species: A landscape-scale approach. 713 Journal of Ecology 91: 757–775.
714 Polimeni JM, Iorgulescu RI, Chandrasekara R. 2014. Trans-border public health 715 vulnerability and hydroelectric projects: The case of Yali Falls Dam. Ecological Economics 716 98: 81–89.
717 Puyravaud J-P, Pascal J-P, Dufour C. 1994. Ecotone Structure as an Indicator of Changing 718 Forest-Savanna Boundaries (Linganamakki Region, Southern India). Journal of 719 Biogeography 21: 581–593.
720 Rayment GE, Higginson FR. 1992. Australian laboratory handbook of soil and water 721 chemical methods . Inkata Press, Melbourne.
722 Schimper AFW, Balfour IB, Fisher WR, Groom P. 1903. Plant-geography upon a 723 physiological ACCEPTEDbasis . Clarendon Press, Oxford. 724 Slik JWF, Raes N, Aiba S-I, Brearley FQ, Cannon CH, Meijaard E, et al. 2009. 725 Environmental correlates for tropical tree diversity and distribution patterns in Borneo. 726 Diversity and Distributions 15: 523–532. ACCEPTED MANUSCRIPT
727 Sodhi NS, Koh LP, Brook BW, Ng PKL. 2004. Southeast Asian biodiversity: An 728 impending disaster. Trends in Ecology and Evolution 19: 654–660.
729 Sollins P. 1998. Factors influencing species composition in tropical lowland rain forest: 730 does soil matter? Ecology 79: 23–30.
731 Stott P. 1990. Stability and stress in the savanna forests of mainland South-East Asia. 732 Journal of Biogeography 17: 373–383.
733 Sukri RS, Wahab RA, Salim K A, Burslem DFRP. 2012. Habitat associations and 734 community structure of dipterocarps in response to environment and soil conditions in 735 Brunei Darussalam, Northwest Borneo. Biotropica 44: 595–605.
736 Tang CQ, Chiou C-R, Lin C-T, Lin J-R, Hsieh C-F, Tang J-W, et al. 2013. Plant diversity 737 patterns in subtropical evergreen broad-leaved forests of Yunnan and Taiwan. Ecological 738 Research 28: 81–92.
739 Teejuntuk S, Sahunalu P, Sakurai K, Sungpalee W. 2003. Forest Structure and Tree Species 740 Diversity along an Altitudinal Gradient in Doi Inthanon National Park, Northern Thailand. 741 Tropics 12: 85–102.
742 Thái VT. 1963. Phát sinh qu ần th ể và phân lo ại th ảm th ực v ật nhi ệt đới ở Vi ệt Nam. Nhà 743 xu ất b ản Nông nghi ệp, Hà N ội. MANUSCRIPT 744 Thái VT. 1999. Nh ững h ệ sinh thái r ừng nhi ệt đới Vi ệt Nam. Nhà xu ất b ản Khoa h ọc và K ỹ 745 Thu ật, H ồ Chí Minh.
746 Thomas P. 2013. Nageia fleuryi. The IUCN Red List of Threatened Species 2013 : 747 e.T39606A2930266. http://dx.doi.org/10.2305/IUCN.UK.2013- 748 1.RLTS.T39606A2930266.en
749 Toledo M, Peña-Claros M, Bongers F, Alarcón A, Balcázar J, Chuviña J, et al. 2012. 750 Distribution patterns of tropical woody species in response to climatic and edaphic 751 gradients. Journal of Ecology 100: 253–263.
752 Tr ần H. 2002. Tài nguyên cây g ỗ Vi ệt Nam . Nhà xu ất b ản Nông nghi ệp, H ồ Chí Minh.
753 Tran VC, Nguyen TT, Do HTT, Cao CK,Tran HQ, Vu TI, et al. 2013. Relationship 754 between abovegroundACCEPTED biomass and measures of structure and species diversity in tropical 755 forests of Vietnam. Forest Ecology and Management 310: 213–218. ACCEPTED MANUSCRIPT
756 Van Der Ent A, Erskine P, Mulligan D, Repin R, Karim, R. 2016. Vegetation on ultramafic 757 edaphic “islands” in Kinabalu Park (Sabah, Malaysia) in relation to soil chemistry and 758 elevation. Plant and Soil 403: 77–101.
759 Vázquez JAG, Givnish TJ. 1998. Altitudinal gradients in tropical forest composition, 760 structure, and diversity in the Sierra de Manantlan. Journal of Ecology 86: 999–1020.
761 Vieilledent G, Gardi O, Grinand C, Burren C, Andriamanjato M, Camara C, et al. 2016. 762 Bioclimatic envelope models predict a decrease in tropical forest carbon stocks with 763 climate change in Madagascar. Journal of Ecology 104: 703–715.
764 Vietnamese Academy Of Science And Technology . 2007. Vietnam Red Data Book part II. 765 Plants . Nature Science and Technology Publishing House, Ha Noi.
766 Viranant V, Kaewaumput T, Charoensuk S, Buajung P. 2009. Natural watershed recovery 767 estimation after 40 years of forest rehabilitation in Khun Khong Watershed Research 768 Station, Chiang Mai, Thailand. Thai Journal of Forestry 28 :58-72.
769 Webb CO, Peart DR. 2000. Habitat associations of trees and seedlings in a Bornean rain 770 forest. Journal of Ecology 88: 464–478.
771 Wikramanayak ED, Rundel PW, Boonratana R. (n.d.). Ecoregions: Southeastern Asia: 772 Vietnam into Laos and Cambodia . World Wildlife MANUSCRIPT Fund. 773 Williams PH, Gaston KJ. 1994. Measuring more of biodiversity: Can higher-taxon richness 774 predict wholesale species richness? Biological Conservation 67: 211–217.
775 Wilson, JB & Chiarucci A. 2000. Do plant communities exist? Evidence from scaling-up 776 local species-area relations to the regional level. Journal of Vegetation Science 11(5): 777 773–775.
778 Wilson JB, Peet RK, Dengler J, Pärtel M. 2012. Plant species richness: The world records. 779 Journal of Vegetation Science 23: 796–802.
780
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781 Figure captions
782 Figure 1. Ward’s hierarchical clustering diagram of communities – based on Bray-Curtis 783 distance.
787
788 Figure 2. The significant indicator species for each community. The values behind each 789 species code are the indicator values, which range between 0 and 100 (zero means no 790 association with the cluster, and 100 means maximum association with the cluster); 791 Following the indicator value is the significance value (p): 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’. 792
795
796 Figure 3. Species accumulation curves for plant communities, subplot area = 400 m 2. 797 Different lines refer to different communities, grey lines are estimated asymptote, black 798 lines are measured species richness.
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Appendix Figure 1. Vietnam showing study sites (black circles), major cities (grey circles). Central Highlands region is coloured in grey. MANUSCRIPT
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Appendix Figure 2. Plot and subplot sampling design, filled cells indicate where soil sample were taken.
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Appendix Figure 3. Key soil factors according to communities
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Appendix Figure 4 . Forest communities: Highland Lowslope - HLLS (A), Highland Upslope - HLUS (B), Highland Floodplain - HLF (C), Lowland DeMANUSCRIPTciduous – type 1 - LLD1 (D), Lowland Deciduous – type 2 - LLD2 (E), Lowland Mixed - LLM (F).
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Appendix Figure 5. Soil profiles of communities: Highland Lowslope - HLLS (A), Highland
Upslope - HLUS (B), Highland Floodplain - HLF (C), Lowland Deciduous – type 1 - LLD1 (D),
Lowland Mixed -LLM (E), Lowland Deciduous – type 2 - LLD2 (F).
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Appendix TABLE 1. Species area curve models for six communities
Communities a b c S r
HLF 86.89 -0.052 0.469 0.938 0.998
HLLS 59.03 -0.124 0.559 0.576 0.999
HLUS 49.17 -0.107 0.451 0.246 0.999
LLD1 63.03 -0.009 0.447 0.039 0.999
LLD2 14.16 -0.037 0.333 0.048 0.999
LLM 39.62 -0.078 0.672 0.133 0.999
Model function: y=a*(1-exp(b*x))^c where Y is number of species and x is effort (plots). a, b and c are constants with a being the asymptote. S = standard error and r = correlation coefficient MANUSCRIPT
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Appendix Table 2. Species list.
Vietnamese Family No Species name code
1 Aceraceae Acer laurinum Hassk. Thích lá qu ế Acelau
2 Buchanania latifolia Roxb Mèn ven Buclat
3 Anacardiaceae Lannea coromandelica (Houtt.) Merr Cóc chu ột Lancor
4 Mangifera minutifolia Evrand Xoài r ừng Manmin
5 Polyalthia cerasoides (Roxb.) Bedd Đuôi trâu Polcer
6 Annonaceae Xylopia pierrei Hance Gi ền tr ắng Xylpie
7 Rauwenhoffia siamensis Scheff. Dù d ẻ Rausia
8 Apocynaceae Astonia scholaris (L.) R Br. Sữa Astsch 9 Araliaceae Schefflera heptaphylla MANUSCRIPT (L.) Frodin Chân chim tám lá Schhep Stereospermum cylindricum Pierre ex Bignoniaceae 10 Dop Quao vàng Stecyl
Canarium album (Lour.) Raeush. ex 11 DC. Trám tr ắng Canalb
Canarium littorela var. rufum (A. W. 12 Burseraceae Benn.) Leenh Trám nâu Canlitruf
13 Canarium subulatum Guillaumin Cà na Cansub
14 Garuga pierrei Guillaum Cóc đá Garpoi
15 Dialium cochinchinense Pierre Xoay Diacoc
ACCEPTEDGleditsia australis Hemsl. ex Forbes & 16 Hemsl Bồ kết Gleaus Caesalpiniaceae Peltophorum dasyrrhachis var. tonkinense (Pierre) K.Larsen & 17 S.S.Larsen Lim x ẹt Peldas
18 Sindora siamensis Teysm. ex Miq. Gụ mật Sinsia ACCEPTED MANUSCRIPT
19 Calophyllum polyanthum Wall. Cồng nhi ều hoa Calpol
20 Garcinia fusca Pierre Bứa l ửa Garfus Clusiaceae 21 Garcinia multiflora Champ. ex Benth. Dọc Garmul
22 Garcinia poilanei Gagnep Bứa poilane Garpie
Anogeissus acuminata (Roxb. ex DC.) 23 Guill. & Perr Chò nhai Anoacu
24 Terminalia alata Heyne ex Roth Chiêu liêu kh ế Terala Combretaceae 25 Terminalia chebula Retz Chiêu liêu ổi Terche
26 Terminalia corticosa Pierre ex Laness Kha t ử Tercor
27 Dillenia hookeri Pierre. Sổ hooker Dilhoo Dilleniaceae 28 Dillenia pentagyna Roxb. Tai t ượng Dilpen
29 Anisoptera costata Korth Vên vên Anicos
Dipterocarpus obtusifolius Teysm. Ex 30 Miq. Dầu trà beng Dipobt MANUSCRIPT 31 Dipterocarpus tuberculatus Roxb. Dầu đồng Diptub Ki ền ki ền phú 32 Dipterocarpaceae Hopea pierrei Hance qu ốc Hoppie
33 Hopea recopei Pierre Chò chai Hoprec
34 Shorea obtusa Wall Cà chít Shoobt
35 Shorea roxburghii G. Don Sến mủ Shorox
36 Shorea siamensis Miq. Cẩm liên Shosia
37 Diospyros apiculata Hiern. Nh ọ nồi Dioapi Ebenaceae 38 ACCEPTEDDiospyros pyrrhocarpa Miq. Th ị lửa Diopyr
39 Elaeocarpus floribundus Blume Côm trâu Ealflo
40 Elaeocarpaceae Elaeocarpus griffithii (Wight) A Gray Côm t ầng Ealgri
41 Elaeocarpus kontumensis Gagnep Côm Kon Tum Elagri ACCEPTED MANUSCRIPT
42 Elaeocarpus sp. Côm Elakon
43 Antidesma ghaesembilla Gaertn Chòi mòi Antgha
44 Aporosa dioica (Roxb.) Muell.-Arg Th ầu t ấu khác g ốc Apodio
45 Baccaurea harmandii Gagnep Dâu da qu ả đỏ Bachar
46 Baccaurea ramiflora Lour Dâu da đất Bacram
47 Bridelia cambodiana Gagnep. Th ẩu m ật lá to Bricam Euphorbiaceae 48 Cleidion spiciflorum (Burm. f.) Merr Mỏ chim Colave
49 Croton argyrata Blume Bạc lá Croarg
50 Endospermum chinense Benth. Vạng tr ứng Elasp.
51 Mallotus apelta (Lour.) Muell.-Arg Ba bét tr ắng Malape
52 Mallotus metcalfianus Croiz Ba bét đỏ Malmet
53 Juglandaceae Engelhardtia roxburghiana Wall. Ch ẹo tía Endchi
54 Ormosia balansae Drake Ràng ràng mít Ormbal
Placolobium vietnamenseMANUSCRIPT N. D. Khoi & Ràng ràng vi ệt Fabaceae 55 Yakovl nam Plavie
56 Pterocarpus macrocarpus Kurz Giáng h ươ ng Ptemac
57 Castanopsis chinensis (Spreng.) Hance Dẻ gai trung qu ốc Caschi
Castanopsis fissa (Champ. ex Benth.) 58 Rehder & E.H.Wilson Dẻ đấu n ứt Casfis
59 Castanopsis hystrix A. DC Kha th ụ nhi ếm Cashys
60 Castanopsis indica (Roxb.) A. DC. Cà ổi ấn độ Casind
Fagaceae Castanopsis pseudoserrata Hick. & 61 ACCEPTEDCam. Kha th ụ nguyên Caspse
Lithocarpus ducampii (Hickel & A. 62 Camus) A.Camus Dẻ đỏ Litduc
Lithocarpus stenopus (Hickel & 63 A.Camus) A. Camus Dẻ cọng m ảnh Litste
64 Dẻ qu ả vát Littru Lithocarpus truncatus (King ex ACCEPTED MANUSCRIPT Hook.f.) Rehd.
65 Flacourtaceae Flacourtia indica (Gurm.f.) Merr. Mùng quân Flaind
66 Hamamelidaceae Rhodoleia championii Hook.f. Hồng quang Rhocha
Cratoxylum cochinchinense (Lour.) 67 Blume Đỏ ng ọn Cracoc
Hypericaceae Cratoxylum formosum subsp. 68 pruniflorum (Kurz) Gogelein Thành ng ạnh nam craforpru
69 Cratoxylum pruniflorum (kurz) Kurz Thành ng ạnh Crapru
70 Incacinaceae Platea latifolia Blume Xươ ng tr ăn Plalat
71 Irvingiaceae Irvingia malayana Oliv. Ex Benn. Kơ nia Irvmal
72 Ixonanthaceae Ixonanthes reticulata Jack. Hà n ụ Ixoret
73 Beilschmiedia roxburghiana Nees Ch ắp ch ại Beirox
Cinnamomum bejolghota (Buch.-Ham. 74 ex Nees) Sweet Re g ừng Cingla
Cinnamomum glaucescens (Nees) 75 Drury MANUSCRIPT Re h ươ ng Cinine 76 Cinnamomum iners Rienw. ex Blume Qu ế rừng Claexc Lauraceae 77 Cinnamomun sp Re Cinsp.
78 Lindera annamensis Liou Liên đàn trung b ộ Linann
79 Litsea verticillata Hance Bời l ời vòng Litver
80 Machilus odoratissima Ness Bời l ời đỏ Macodo
81 Machilus parviflora Meissn. Kháo hoa th ưa Macpar
82 Barringtonia musiformis Kurz. Chi ếc cau Barmus Lecythidaceae 83 ACCEPTEDCareya arborea Roxb Vừng xoan Carabo
84 Fagraea fragrans Roxb. Trai nam b ộ Fagfra
85 Loganiaceae Strychnos nux-blanda A. W. Hill Mã ti ền qu ả cam Strnux
86 Strychnos spireana Dop Mã ti ền Spire Strspi ACCEPTED MANUSCRIPT
87 Lagerstroemia calyculata Kurz Bằng l ăng Larcal Lythraceae 88 Lagerstroemia crispa Pierre ex Laness. Bằng l ăng ổi Lagcri
Dạ hợp Nha 89 Magnolia candollei (Blume) Noot Trang Magcan
Michelia citrata (Noot. & Chalermglin) Q. N. Vu and N. H. Xia, comb. 90 Magnoliaceae nov. Gi ổi xanh qu ả to Miccit
91 Michelia floribunda Fin.& Gagnep. Gi ổi nhi ều hoa Micflo
92 Michelia mediocris Dandy Gi ổi xanh Micmed
93 Malvaceae Grewia bulot Gagnep. Bù l ốt Grebul
94 Aglaia perviridis Hiern Gội r ất xanh Aglper
95 Aglaia spectabilis (Miq.) Jain & Bennet Gội n ếp Aglspe Meliaceae 96 Aglaia tomentosa Teysm. & Binn Ngâu lông Agltom
97 Toona surenii (Blume) Merr. Xoan m ộc Toosur
Archidendron clypearia ( Jack) I. 98 Nielsen MANUSCRIPT Mán đỉa Arccly 99 Archidendron eberhardtii I. Nielsen Đái bò Arcebe Mimosaceae Archidendron robinsonii (Gagnep) I. 100 Nielsen Dái heo Arcrob
101 Xylia xylocarpa (Roxb.) Taub Căm xe Xylxyl
102 Artocarpus gomezianus Wall Chay nhung Artgom
Artocarpus rigidus subsp. asperulus 103 (Gagnep.) F.M.Jarrett Mít nài Artrigasp Moraceae 104 ACCEPTEDFicus racemosa L Sung Ficrac 105 Streblus macrophyllus Blume Du ối lá to Strmac
Sang máu h ạnh 106 Horsfieldia amygdalina (Wall.) Warb nhân Horamy Myristicaceae 107 Knema globularia (Lamk.) Warb Máu chó lá nh ỏ Kneglo
108 Knema pierrei Warb. Máu chó lá to Knepie ACCEPTED MANUSCRIPT
Decaspermum parviflorum (Lam.) 109 A.J.Scott Th ập t ử hoa nh ỏ Decpar
110 Syzygium cumini (L.) Skeels Trâm v ối Syzcum
111 Syzygium hancei Merr. & Perry Trâm hoa nh ỏ Syzhan
112 Syzygium sp Trâm Syzsp. Myrtaceae Syzygium syzygioides (Miq.) Merr. & 113 Perry Trâm ki ền ki ền Syzsyz
Syzygium wightianum Wall. Ex Wight 114 et Arn. Trâm tr ắng Syzwig
115 Syzygium zeylanicum (L.) DC. Trâm đỏ Syzzey
116 Ochnaceae Gomphia striata (Tiegh.) C. F. Wei Lão mai Gomstr
117 Dacrycapus imbricatus (Bl.) D. Laub. Thông nàng Dacimb
118 Podocarpaceae Nageia fleuryi (Hickel) de Laud. Kim giao Nagfle
119 Podocarpus neriifolius D. Don Thông tre Podner 120 Proteaceae Helicia cochinchinensis MANUSCRIPT Lour Mạ sưa nam b ộ Helcoc 121 Rhizophoraceae Carallia brachiata (Lour.) Merr. Trúc ti ết Carabo
122 Eriobotrya angustissima Hook.f. Sơn tra lá h ẹp Eriang Rosaceae 123 Prunus arborea (Blume) Kalkm. Xoan đào Pruarb
124 Mitragyna speciosa (Korth.) Havil. Giam đẹp Mitspe
125 Morinda tomentosa Heyn Nhàu nhu ộm Mortom
126 Rubiaceae Psychotria poilanei Pitard Lấu tuy ến Psypoi
127 Wendlandia glabrata DC. Gạc nai Wengla
128 ACCEPTEDWendlandia paniculata (Roxb.) A. DC. Ho ắc quang Wenpan
129 Acronychia pedunculata (L.) Miq. Bưởi bung Acrped
130 Rutaceae Clausena excavata Burm. F Nhâm hôi Clespi
131 Euodia meliaefolia (Hance) Benth Thôi chanh Euomel ACCEPTED MANUSCRIPT
132 Zanthoxylum avicennae (Lam.) DC. Mu ồng tru ống Zanavi
133 Nephelium lappaceum L. Chôm chôm Neplap
134 Sapindaceae Pavieasia annamensis Pierre Tr ường Pavann
135 Sapindus saponaria L. Bồ hòn Sapsap
136 Sapotaceae Madhuca alpinia (Chev.) Chev Sến núi cao Madalp
137 Ailanthus triphysa (Dennst.) Alston Thanh th ất Ailtri Simaroubaceae Eurycoma longifolia Jack subsp. 138 longifolia Bá bệnh Eurlon
Lòng mang đài 139 Pterospermum pierrei Hance tua Ptepie
140 Sterculiaceae Reevesia macrocarpa Li Trú qu ả to Reemac
Scaphium macropodium (Miq.) 141 Beumee. Ươ i Scamac
142 Symplocos lancifolia Sieb . & Zucc Dung lá thon Symlan 143 Symplocos laurina (Retz)MANUSCRIPT Wall. Dung lá to Symlau Symplocaceae Symplocos laurina var. 144 acuminata .(Miq.) Brand. Dung tr ắng Symlauacu
145 Symplocos poilanei Guillaum. Dung poilane Sympoi
Pyrenaria jonquieriana Pierre ex Th ạch châu trung 146 Laness. bộ Pyrjon Theaceae 147 Schima superba (DC.) Korth Chò xót Schsup
148 Colona evecta (Pierre) Gagn. Bồ an ch ở Colpoi Tiliaceae Cọ mai nháp lá 149 ACCEPTEDColona poilanei Gagnep nh ỏ Cracoc 150 Ulmaceae Gironniera subequalis Pl. Ngát Girsub
151 Unknown1 Unkunk Unknown 152 Unknown2 Unkunk
153 Verbenaceae Callicarpa arborea Roxb. Tu hú g ỗ Calarb ACCEPTED MANUSCRIPT
Premna corymbosa (Burm. f.) Rottb. & 154 Willd. Cách núi Precor
155 Vitex quinnata (Lour.) Williams. Đẻn 5 lá Vitqui
156 Vitex trifolia L Đẻn 3 lá Vittri
157 Vitex pinnata L Bình linh lông Vitpin
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Appendix Table 3. ANOVA of soil variables among communities. Adjusted P-
values are from Tukeys HSD test.
Avail. P Total Nitrogen Exch. K
HLLS-HLF 0.795 0.999 0.457
HLUS-HLF 0.318 0.217 0.000***
LLD1-HLF 0.106 0.086 1.000
LLD2-HLF 0.018* 0.027* 0.998
LLM-HLF 0.011* 0.040* 1.000
HLUS-HLLS 0.945 0.477 0.031*
LLD1-HLLS 0.617 0.078MANUSCRIPT 0.745 LLD2-HLLS 0.342 0.030* 0.414
LLM-HLLS 0.210 0.041 0.729
LLD1-HLUS 0.979 0.003 0.005***
LLD2-HLUS 0.917 0.001*** 0.001***
LLM-HLUS 0.766 0.001*** 0.003
LLD2-LLD1ACCEPTED 1.000 1.000 1.000
LLM-LLD1 0.995 1.000 1.000
LLM-LLD2 0.998 1.000 0.999
Significance value (p): 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ ACCEPTED MANUSCRIPT 1 TABLE 1. Description of climate, soil types and topography in study sites (adapted from 2 Berdin et al. 1999; Nguy ễn et al. 2000; Ty et al. 2012)
Kon Ha Nung Yok Don Dam Rong
Location and elevation Kon Ha Nung EaSoup floodplain R’Mai Mountain; plateau belong to Lang 192 m (s.d.14) Biang Plateau, Chu 686 m (s.d. 16) Yang Sin Mountains
924 m (s.d.4 3)
Slope of site % 0-5 (aver. 2) 0-17 (aver. 3.7) 8-43 (aver. 23)
Mean daily min T of 19.5 21.1 16.7 coldest month ° C
Mean annual T ° C 23.5 23.7 18.2 Mean daily max T of 32.3 MANUSCRIPT 33.9 24.6 warmest month
Precipitation year (mm) 1532.5 1789 1865
Mean humidity (%) 82 81 84
Mean daily sunshine hours NA 6.8 6.4
Mean annual rain days 133 138 165
Weather station An Khe. 422 m, Buon Me Thuot. Da Lat. 1513 m, ~ 70 km south. 490 m, ~50 km ~30 km south-east. ACCEPTED south-east. ACCEPTED MANUSCRIPT
Topography, geography Highland, Lowland, Foot Hill and low Gently slopes, interfluves mountain on undulating to dominantly ancient metamorphic and steeply dissected alluvium areas, low granitic rock areas upland on hills of dominantly Elevation range basaltic and metamorphic or from 600-1613 granitic rock. granitic rock areas, Mean elevation and small alluvial around 800, to plains. <1000 Elevation range from 150-200 m
Soil classification (based on Ferralsols Luvisols/Lixisols; Acrisols (Ferralic) WRB’98) (Acric, Vertic) Planosols (Eutric, Acrisols Dystric, Skeletic); (Chromic), Luvisols Leptosols Acrisols (Alumic, (Dystric) on Hyperdistric, and granitic rock MANUSCRIPT Chomic) occur only. dominantly on metamorphic rock.
3
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1 TABLE 2. Rare and threatened species according to community. IUCN is IUCN Red Listing 2 as at 2004, VN is Vietnamese Red List.
Species IU VN HL HL HL LL LL LL CN F LS US D1 D2 M
Anisoptera costata Korth EN EN 2
Hopea pierrei Hance EN EN 1 21
Hopea recopei Pierre EN 3
Shorea roxburghii G. Don EN 4
Knema pierrei Warb. VU 3 2 1
Mangifera minutifolia Evrand VU 2
Xylopia pierrei Hance VU VU 3
Nageia fleuryi (Hickel) de Laud. NT 2
Michelia floribunda Fin.& Gagnep. DD 59 Sindora siamensis Miq. MANUSCRIPT LR EN 2 1 Aglaia spectabilis (Miq.) Jain & Bennet LR VU 9
Lithocarpus truncatus (King ex Hook.f.) Rehd. VU 2
Castanopsis hystrix A. DC VU, 156 248 A1c,d
Magnolia candollei (Blume) Noot (syn DD 11 9 Magnolia betongensis ).
Pterocarpus macrocarpus Kurz VU 4
Total number listed species 6 4 4 1 0 6 3 ACCEPTED ACCEPTED MANUSCRIPT
2 1 TABLE 3. Biodiversity indices by community in 400m plots.
Richness Number of subplots Shannon Simpson E-even. Abun. sampled Aver. Min. Max.
Total 154 2.06 0.80 11.92 2 23 0.80 24.23
Dam Rong 50 2.40 0.87 15.52 8 23 0.74 33.62
HLLS 26 2.39 0.87 15.70 10 23 0.71 39.37
HLUS 24 2.41 0.86 15.30 8 22 0.77 26.87
Ha Nung 50 2.63 0.92 16.02MANUSCRIPT 8 22 0.89 22.72 HLF 50 2.63 0.92 16.02 8 22 0.89 22.72
Yok Don 54 1.20 0.62 4.80 2 11 0.77 16.94
LLD1 12 1.12 0.55 5.58 4 11 0.59 32.42
LLD2 25 1.07 0.60 3.52 2 5 0.87 9.04
LLM 17 1.45 0.69 6.12 3 10 0.74 17.65
2 Aver.: Average;ACCEPTED Min.: Minimum; Max.: Maximum; E-even.: Evenness; Abun.: Abundance ACCEPTED MANUSCRIPT
1 TABLE 4. Topsoil (0-20cm) characteristics and summary plot data.
HLF HLLS HLUS LLD1 LLD2 LLM Soil
pproperties Mean s.d Rating 1 Mean s.d Rating Mean s.d Rating Mean s.d Rating Mean s.d Rating Mean s.d Rating
V.strongly V.strongly V.strongly V.strongly V.strongly V.strongly
pH(CaCl 2) 3.75 0.07 Acidic 3.92 0.05 Acidic 3.80 0.25 Acidic 3.92 0.10 Acidic 4.08 0.11 Acid 4.08 0.05 Acid
TOC (%) 1.99 0.22 Mod. 2.40 0.49 High 3.63 3.10 High 0.57 0.08 Low 0.43 0.18 Low 0.49 0.24 Low
TN (%) 0.21 0.03 Medium 0.22 0.03 Medium 0.32 0.24 High 0.05 0.00 Low 0.06 0.02 Low 0.05 0.03 Low MANUSCRIPT Avail P(ppm) 1.69 0.96 Low 1.30 0.38 V.low 0.94 0.02 V.low 0.61 0.07 V.low 0.53 0.17 V.low 0.37 0.11 V.low
Exch Ca 2 0.71 0.17 V.low 0.95 0.08 V.low 1.26 0.60 V.low 1.16 0.43 V.low 1.47 0.51 V.low 0.90 0.16 V.low
Exch K2 0.07 0.02 V.low 0.18 0.06 V.low 0.42 0.33 Mod. 0.07 0.00 V.low 0.05 0.01 V.low 0.08 0.02 V.low
Exch Mg 2 0.32 0.21 Low 0.34 0.08 Low 0.46 0.13 Low 0.51 0.25 Low 0.86 0.51 Low 0.27 0.08 Low ACCEPTED ACCEPTED MANUSCRIPT
Exch Na 2 0.17 0.02 Low 0.18 0.02 Low 0.42 0.43 Mod. 0.16 0.01 Low 0.16 0.01 Low 0.16 0.01 Low
CEC 2 5.93 1.63 V.low 5.94 0.62 V.low 8.08 3.70 Low 3.76 0.38 V.low 4.14 1.04 V.low 3.28 0.94 V.low
Ca/Mg 2.2 Low 2.8 Low 2.7 Low 2.3 Low 1.7 Low 3.3 Low
BSP% 21 Low 28 Low 32 Low 51 Mod. 61 Mod. 43 Mod.
Texture Clay Clay loam Clay loam Loamy sand Loam Loamy sand
2 1Ratings were based on Hazelton & Murphy (2007) MANUSCRIPT 3 2mequiv./100 g
4 3 Base Saturation Percentage = 100 * sum of exchangeable cations / CEC
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