S.Afr.l. Bot. , 1989 , 55(1): 31 - 39 31 The forests of Transkei, southern Africa. II: A floristic classification

S.G. Cawe* and B. McKenzie 1 Department of Botany, University of Transkei, Private Bag X1, Unitra, Transkei Present address: Department of Botany, University of the Western Cape, Private Bag X17, Bellville, 7535 Republic of

Accepted /8 July 1988

A floristic TWINSPAN classification of the forests where basal area was used as the quantitative parameter is presented. Four associations are distinguished and each is discussed in terms of forest condition and location at regional level.

'n Floristiese TWINSPAN-klassifikasie van die woude waar basale oppervlakte as die kwantitatiewe eenheid gebruik was, word voorgele. Vier assosiasies word uitgeken en elkeen word bespreek in terme van woudtoestand en ligging op streeksvlak.

Keywords: Afromontane forest, floristics, Transkei, TWINSPAN

*To whom correspondence should be addressed

Introduction forests were extensively exploited to provide wattles for Afromontane forests in Transkei occur along two sea­ homestead construction (Sim 1907). In 1891 Harran, facing escarpments (Sim 1907), which King (1967) quoted by Sim (1907) , estimated that in what was then designates the 'great' and 'minor' escarpment the Cape Colony (which included Transkei) 1,75 million respectively (see Cawe & McKenzie 1989) . The great saplings were removed annually from the forests for this escarpment occurs farther inland than the minor purpose. Unfortunately no data are available on the rate escarpment at an altitude of 1 200-1 500 m. It receives of regeneration which would have allowed for a better 750-1 500 mm of rainfall per annum, most of it falling in assessment of the impact of this kind of exploitation. In summer. In winter severe frosts and heavy snowfalls are some of the forests in the Umzimvubu drainage basin, in common on the summit (Wood & van Schoor 1976) . the north-eastern part of the study area, such use may Forests in this area belong to Acocks' (1953) Highland have commenced between 1 200 and 1 400 B.P., Sourveld. They are few and very small and have not whereas southwards it may only have been initiated been included in the present study. The minor about 200 B .P. (Feely, pers. comm.). escarpment is at a lower elevation (600-1 400 m), and in Some such as Ocotea bullata (Burch) E . the study area it stretches over ca. 300 km . According to Mey. , Pittosporum viridiflorum Sims, Cassine pappilosa Wood & van Schoor (1976) it is warmer and drier than (Hochst.) Kuntze, to name a few, were and still are the great escarpment, receiving 650-1000 mm of rain debarked for medicinal and cosmetic purposes, often per annum, most of which falls in summer. It also with fatal consequences for the . Winter grazing of experiences less severe frosts and snowfalls. Forest livestock in the forests must also have hindered the patches on this escarpment are highly variable in size, regeneration of some species. but together cover a considerably larger area than the At the beginning of the colonial era the best timber forests of the Highland Sourveld. They occur in sites forests were demarcated and set aside as 'crown forests' . which are moist, frost-free, and protected from Attempts were made, with limited success, at curbing desiccating 'berg' winds (Bews 1916) and fall within the and regulating the acquisition of wattles by the boundaries of Acocks' (1953) Dohne Sourveld. General indigenous population (Sim 1907; Laughton 1937; King descriptions of the forests are given by: Sim (1907), 1941). The main thrust of exploitation shifted from the Bews (1916), Robertson (1924) , Laughton (1937) , King subordinate strata to the canopy as sawyers, mainly of (1941) , White (1978 , 1983) and von Breitenbach (1983). European descent, were allowed to cut timber for the Most of these writers comment on the complexity and construction of houses, wagons and furniture. King variability of the forests, Sim (1907) going so far as to (1941) estimates that during the 50-year period from say, 'hardly a forest exists which is of equal composition 1889 to 1939 some 265 000 m3 of timber were extracted throughout'. Because they display sharp local contrasts from the 26000 ha of afromontane forest in Transkei; in both floristic composition and structure, White (1978 , 82% of this timber comprising yellowwoods (Podocarpus 1983) described these forests as 'undifferentiated' . spp.). This intensive and highly selective exploitation The structural and floristic complexity of the forests must have had a profound effect on forest composition has been accentuated by anthropogenic disturbance. A and structure. distinction may be drawn between pre-colonial distur­ Natural disasters such as cyclones and heavy snowfalls bance and disturbance during the colonial era. Prior to have also had a considerable impact on the forests, more the colonial period the and sapling layers of the especially those disasters which occurred shortly after 32 S.-Afr.Tydskr. Plantk. , 1989, 55(1)

the forests had been exploited for timber. King (1941) (ii) aspect, measured on a 3600 azimuth scale, gives an account of a blizzard which swept through the (iii) stem girth at breast height (gbh) for each woody study area in 1902, uprooting thousands of trees, fol­ species; the smallest girth recorded being 7 mm. lowed by a snowstorm which severely damaged those This data was later converted to stem diameter at trees which had survived the blizzard. In the same article breast height (dbh), King refers to the complete destruction of 40 ha of forest (iv) cover abundance values for ferns on the Braun­ by a cyclone in 1938. In both instances the destructive Blanquet scale, effects of natural phenomena were accentuated by (v) notes on environmental features such as soil tex­ anthropogenic disturbance. ture, drainage and disturbance. Under natural conditions fire is not an important A floristic classification of the forests using factor in the forest biome. Huntley (1984) uses its TWINS PAN (Hill 1979) was attempted using stem absence as one of the features distinguishing the forest density, relative stem density, basal area and relative biome from allied woody vegetation types, and Granger basal area. In the calculation of the above parameters (1984) further suggests that natural fires were never the effect of slope was corrected for as follows: quite as catastrophic as man-made fires deliberately used A' = A cos 0 to clear forests for agricultural use. However, Moll (1983) notes that in the rare instances that fire where A I is the 'true' area of each plot, that is, the area penetrated indigenous forests it destroyed the forests of the orthogonal projection of each plot, A is the area of 2 completely. This phenomenon was observed during the each plot as laid out on the ground (i.e. 400 m ) and 0 is the slope of each plot. course of the present survey when a fire from an exotic The variance of basal area, total stem density, canopy timber plantation swept through an adjacent natural density, subcanopy density, shrub density, slope, forest killing all the trees. number of tree species per plot and aspect was analysed Initial interest in the forests was due largely to their using one-way analysis of variance (ANOY A) and economic significance; much of the early literature significant F ratios were determined at the 0,050 level. In reflecting this interest. As indigenous timber became addition, Duncan's multiple range test was used to find exhausted in the mid 1940's there was a corresponding pairs of floristic associations which were significantly decline in literature on the forests. However, as the different at the 0,050 level, and correlations between the conservation ethic became fashionable, numerous pleas variables mentioned above were also determined. for the conservation of indigenous forests in southern Africa were published: Gerstner (1946), Watt (1947), Results Taylor (1961) and Moll (1972, 1977, 1978). This topic is Classification discussed in greater detail elsewhere (Cawe & McKenzie Classifications resulting from the four data sets: density, 1989). Renewed interest in the exploitation of the relative density, basal area and relative basal area were afromontane forests of Transkei necessitated a fairly similar. Results from relative basal area were the classification of the forests as a basis for an investigation most easily interpreted because plots from the same on the feasibility of such exploitation. The present forest tended to be grouped together more frequently survey is the first attempt in southern Africa to classify than was the case with other data sets, and the resultant floristically, extensive patches of forests usmg groups could most easily be recognized in the field. In an quantitative data. analysis of coastal forest, just north of the study area, Rogers & Moll (1975) were also more satisfied with Methods results from basal area data than with density data. The forests were sampled by means of 200 plots, each Although the optimal arrangement of species was measuring 20 m x 20 m. On the basis of presumed obtained at the third TWINSPAN division, the resulting differences, discussed elsewhere (Cawe & McKenzie eight classes were considered too numerous for a general 1989), the forests were subjectively stratified into six classification of the afromontane forests, given their geographical zones (see Cawe & McKenzie 1989) and overall similarity as assessed in the field. The four classes the 200 plots were allocated to each zone in proportion from the first two divisions were considered adequate, to the area of demarcated forest in that zone. In a and each of these was designated an association and particular zone the plots were allocated to the various named after some of its indicator species (sensu Hill forest, such that the probability of allocating a plot to a 1979). Syntaxa defined by the third TWINSPAN division particular forest was proportional to its area. The are regarded as subassociations. The resulting two-way location of a plot in any particular forest was chosen table from TWINSPAN is given as Table 1. subjectively in visually assessed homogeneous and repre­ The indicator species for the negative group of the first sentative stands. The subjective selection of stands TWINSPAN division is Scutia myrtina (Burm.f.) Kurz., accords with the expectations of the authors of the code and the preferential species are Andrachne ovaLis of phytosociological nomenclature (Barkman et al. (Sond.) Muel!. Arg., CaLpurnea aurea (Ait.) Benth., 1986). Canthium paucifLorum (Klotzsch) Kuntze, CLausena For purposes of the present analysis, the following anisata (Willd.) J.D. Hook. ex Benth., Eugenia capensis data were collected: (Ecklon & Zeyher) Harv. & Sond. subsp. nataLitia (i) slope, measured in degrees, (Sond.) F. White and Halleria Lucida L. Indicator species Table 1 Phytosociological table of the afromontane forest communities in Transkei (FJ »...., ",.oelalion 2 Association 3 "-Iocl.tlon .. .., 111 1111 111" 1111111111 Z111111'" 11 1 111111!11 t 11111111 1 11111111 111' 111111 1 1 , " 1 ," 1111 I 1 1 ~ 111 11 1111111 1 '-< SbB"~~~99Jf.444S5SSSH6T1777889 111lZ222H8~ 9Hl1 1 22UZZZ3 n66HS8,9 1111 2UH77~9~~OOO)OOO)11111112Z]4~S667777Si891 I 13BHUH4455B66~6667777B88~ ~99))2S33443 !S3H69J 2B7!U45B9Ulo4555S571 1267145189))~UI3SbnOl J47HOl2 4) HH5675H725~nnI24568)1 47!1~1 H'023567HI2S ~01 B36l3473)l45678~IHS HS3f6SJ~J4J2S6H9 7HIll 28~H5HH6H2HSb7J14 n1 2H ~1 ~1 H5 n)3 34567J'iJ3 941HI242 B6J12901 35722 0:1 Acoltanthera oppositiiolia (Lalli.) Codd. 1 , 1 Andrachne ovalis (Sond.) "uell. Arg. 1111 )H ~ 11 11 11111 lIlt I 111 11 , I 11111111 1 1 Bowlteria verticil lata (Eekl. , Zeyh.) Schinl'! 11 auriculata Benth. 21 1 1 =~ Buddleja salviifolia (L.) LilllI, 1 II I " , ...... I 11111 1 2 1 1 1 11 ~ Calpurnea aurea (Ait.) Bench. )H 'D 1 1 I 111 1 I I '11 11 1 111111111 " 1 11 I I 1 111111 I I I 111 111 I 11 CXJ Cussonia sphaerocepi"Jala Strey 11 11 no Diospyros 5illlii (Kuntze) de Winter 2 )H 'D Dovyalis rhilJllnoides (Burch. ex DC.) Harv. 11 )H Oovyalis zeyheri (Sond.) Waro. V. V. Englerodaphne pilosa Burtt Davy 1 =)H Euclea c rispa (Thunb.) Guerite 1 )H Eugenia capensis subsp. natalitia (Sond.) F. White ...... 111111111111 11 I 1 I 1 II I I 1 21 )H ---­ HeteroJQorpha IHborescens (Spreng. ) Cham . " Scnlechtd . )8 '--" 221 111111 t1 1 11 , 1 ~ 1 1 2 Leucosidea sec iceiens Beauv. 11 1 ))0 1 1 1 1 11 I Canthium pauciflorum (Klotzseh) Blakelock 11 1 1 1111111 I 111 , 11 »)1 Cassinopsis ilicltolia (Hochst) Kuntze 1 11111 1 I I ; ~ 1 ; 1 I 1 ; 1 1 1 111 ~ 1 I 11 1 , 1111 II 11 11 , , 1 1 1 1 , 1 I II 11 1 I 1 1 1 11 , , 1 II 1 1 Clausena ani5ata {iohllo.) !loolct. ex Benth. II 1111111 1 1 11 1" 11111 111 t1 1111 1 I 11 111111 It 1111 )J1 Ooyalls lucida Sim 11111' 1 1 1111111111 11111 1 1 1 I 111 11 11 , 1 "' '" 1 , 1 1 1 »)1 Grewia occidentalis L. 1 1 1 1 , 1 1 , 21111 11 nl Halleria lucida L. 1 , 11 II 111 11 111111 II I 1111 I 111111 II 1 1 nl Hippoucomus pauciflorus (L. i.) Radlk. 111 , 1 )J1 1 1 2 1 Havtenu$ mossambieensis (Klotzsetll Blakelock )J1 1111111111 11111 1 111 11 1 11 11" 11111 I 111 11111 11 I 2 I 1 121111211121 1111111 21111 111111 I 1111" 11 1111 Oricia bactunanli (Engl.) Vec<.1ooru 12111111 I 11111 111 111 1 1111 11 l' 1 I 1 1 111 1 nl Rhamnus prinoides L'Herit. 1 11 )J1 Sp. 1 , 1 111 2 111 )J1 11 )J1 dimidiata E. Mey. ex "'rn. ~~~d~tes 1 1 , ))1 Canthium lnundianum Cnam. & Schlechtd. 1 1111 2111 111 1 1111 1 111 )J1 Canthium Oboviltum Kloczsch 111 11 , , 1 1 , 11 , 11111 1111 )10 Carrissa bispinosa (L.) Dest. ex Brenan 1 " , 111111 I 11 I 1'" 1 t 11 1 1 111 1 , 1 1 310 Rhus chiridensis Ball.. 11 11 11 , 11 )10 11' 1111 1111111111 1 11111111 1111 11 1 11111 1 1 Trlmeria grandifolia (Hochst.) Wan> . 1 , 11 11 "'1 1 1 )10 '" " 22 111 <. 11 I 1 1 1111" 11 1 1 11 211 111 , 11111 Euclea racemosa Murr. , , 1'1, 1 11 1 )10 , [ 111111 1111111111 1 I 1 nl 1 "1111 " I 11 1 11 1 111 1 Calodendrum capense (L. t . ) Loes . , , 1 1 , 2 111 1 111111 )10 "' I 111 1 I 212 II I 1 1 HI 111 , 1 1 1 " Cantnium ciliatwn (Klotzsen) Kuntze '", 1 1111 1 111 'I " I 1 1 1 I I )11 11 1 11111 1111111 11 I 1 1 111 111 1 11 "'11 111 I 11 I I I I I 11 1 11 1 I 1 t1 Celtis airieana Burm.!. 11211 Z 111 11 11 II , 11 1" 11 11 1111 lit'I 1 11 11 11 )11 11321 11121 "1·11 ,11 1 1122211 1 21121112 Ill" 1111112 I , " Chionanthus foveolata (E. Hey.) Stearn , 1111 1121 II 1 1 111 121 11 I 2U 11121111111 12 111 )11 Dios})yros whyteand. (Hi ern. ) F. White I 1 1 1 I 2 1 11 1 11 1111 11 111 I 1111111111111 1111111111 121 I 111111111111 21 1 11 1 1111 1 I 1 I I 1 11111 II t 111 I I 1111 )11 f'i cus sur. f'or 5k. , 2 1111111111111111 II 111 11111 111111 1 111 11 I )11 Kigge1al: i8 ai r icana L. 1121 11111 11 11 11 1 3 11 111 1 122 11 I Ill1 22 1 11 11 1 1 1 1 1 )11 May tenus peauneul at is (Sond.) Loes . , 1211 111 11 1 1 , 1 1 1111 1 I I I "' 1 11 1 1 2 1 1 1 1 1 , 1 )11 , 21 , , 1 1 1111 1 1 111 11 )11 &g~tgx:f~~cggt l~ ~~~k i~dn~~f k Radt II. , 1 1 I 1 III 1 J11 Nil})anea melanophleos (L.) Mez. 111 111 1 112 <11112 1 11111 11 ? 1 1 2 II II 1111 11 1 1111111 1 II )11 .scolopia mundi i (Eckl. & :leyh.) Waro. 11 1 I ~ 1 1 I 1 1 ll111 2 1 1 1111 I 1 111 1 11 11 1 11 , 121111 1 It 1111 11111 2 1111 111111!1 12 11 1 1 111 )11 Scolopia zeyheri (Nees) Harv. ICI1121122 1 1 1111 It? H121 11111 11111111111121 1 1112 111 111211 111121111111 11 1 ,. 1 , 1111111 11111111111 112 1 1 11 1 11 11 1 1 )11 'fricalysia lanceolata (Sand.) Burtt Davy III 1 " 1 11 1 1 11 1111 It 111 111 I 1 1 III )11 "'llo})hylus dregeanus (Sond.) de Ihntcr 111 111 )11 Dais cotioifolla L . , 11 IJJ Xymalos monospora Harv. Balll. 1 1 U212133!3}1 11 , , 1 I 1 lH ZantnOxylum davyi (Veracdenia thunoec91i L.r. II 1 1 11 1 1 1 111 11 1 111 Grewia lasclocarp.:. E. Mey. ex Hacv. , 1 1 1 1 1 111 Hacpephyllum caiirum lJernn. , , , II 1 111 lit 11ex mitis ( L.) Radlk. 1 1 2 111 Nuxla rloriounda Bentn. 11 1 1 1 I I 11 111 Ochna holst11 I:::ng1. 1 I 11111111 1 1 1 t1111Z1112 121 I 11 111111122 "', , 1 Ochna natalaia (Meissn.) Walp. , 1 1 1 11 , ", Olea capcn::;is L. 1 11 I 1)\ Ollola ventosa (L.) Cufo

for the positive group are Trichocladus ellipticus Ecklon Table 2 Percentage frequency of & Zeyher and Olea capensis L. subsp. macrocarpa (C.H. selected pteridophytes within the floristic Wright) Verdoorn while the preferential species are associations Burchellia bubalina (L. f.) Sims, Chionanthus peglerae (C.H. Wright) Stearn, Cryptocarya woodii Eng!., Floristic associations Curtisia dentata (N.L. Burm.) C.A. Smith, Nuxia floribunda Benth., Ocotea bullata, Oxyanthus speciosus Species 2 3 4 DC., P. viridiflorum, Rothmannia capensis Thunb. and Pteris catoptera 79 20 31 62 Xymalos monospora (Harv.) Bail!. Both the indicator Polystichum pungens 72 26 17 35 and preferential species of the negative group are Sellaginella kraussiana 38 25 9 45 or small trees generally associated with highly disturbed Lycopodium verticillatum 28 areas. The indicator and preferential species of the PLeopeLtis schraderi 14 33 7 7 positive group are canopy or subcanopy trees occurring Pteris cretica 18 2 in closed moist forest. The first dichotomy therefore CheiLanthes viridis 17 5 appears to distinguish between forest in reasonably good Adiantum poirettii 20 5 condition and severely disturbed forest. Gleichenia umbraculifera 7 The explanation for the classes created at the second division is less obvious from the TWINSPAN table and is discussed in detail in the actual descriptions of the association, where the associations are described by Table 3 Distribution of floristic using species characteristics of the canopy, subcanopy associations in the sampling zones and shrub layers. Because in all previous phytosociological studies Floristic association carried out in southern Africa, pteridophytes were important in distinguishing various forests , their Zone 2 3 4 Total diagnostic significance in the associations under the present study was assessed using percentage constancy. A 0 24 3 0 27 Forty pteridophyte species were encountered in the B 0 21 33 23 77 forests, and some of the more important species with C 0 29 2 32 distinct preferences are listed in Table 2. Although Pteris D 14 8 4 4 30 catoptera Kuntze, Polystichum pungens (Kauf.) Pres!' E 0 5 0 0 5 and Selaginella kraussiana Meissn. occurs in all F 15 13 0 23 associations, they have a much higher constancy in Total 29 100 42 29 200 associations 1 and 4. S. kraussiana has a distinct preference for moist habitats (Sim 1907; King 1941) , and the associations in which it has a high constancy occur in (iv) association 4: Xymalos monospora-Ocotea bull­ moist habitats. Other ferns such as Pteris cretica L., ata association Cheilanthes viridis (Forsk.) Swartz var. viridis and The associations are described below, stratum by Adiantum poirettii are exclusive to associations 2 and 3, stratum. In this discussion the terms canopy, subcanopy, therefore pteridophytes can be used in distinguishing and shrub layer refer to stem diameter at breast height between associations. (dbh) rather than stem height. This approach has been The occurrence of the forest associations in the six applied successfully by Rogers & Moll (1975) . In this sampling zones is given in Table 3 from which it is clear study the following definitions were used: that floristic differences in the forests were more stratum dbh (cm) localized than was assumed at the beginning of the study canopy > 30 (Cawe & McKenzie 1989), most zones having more than subcanopy 10-30 one association. The least widespread association is the shrub 1-10 Eugenia capensis subsp. natalitia-Peddiea africana In the study by Rogers & Moll (1975) a canopy tree association which occurs only in zones D and F, and the was defined as having a basal area of 100 square inches, most widespread association is the Diospyros whyteana which was equivalent to a dbh of 28 cm, a figure association which occurs in all zones. Although no asso­ comparable to that given in the present definition. ciation is restricted to a particular zone each tends to Although it could be argued that the upper limit for the occur mostly in one or two zones. shrub layer should be 5 cm dbh, the limit of 10 cm was used because in many studies (e.g. Forman & Hahn Description of the associations 1980; Hall & Swaine 1981; Lieberman et al. 1985; The four associations are as follows: Proctor et al. 1983; Whitten 1982; Geldenhuys 1980, (i) association 1: Eugenia capensis subsp. natalitia- 1983; Marks & Harcombe 1981) only stems with dbh Peddiea africana association equal to or greater than 10 cm were measured. The (ii) association 2: Diospyros whyteana association higher limit should therefore facilitate comparison of this (iii) association 3: Scolopia mundii association data with data from other studies. S.Afr.J. Bot. , 1989,55(1) 35

Association 1: Eugenia capensis subsp. natalitia-­ in Table 4. The distinct dominance based on relative Peddiea africana association basal area of X. monospora and P. henkelii in the canopy This association has long been recognized as being is evident from the table. Each of these species has a distinct from the common type of forest in the study area basal area approximately four times that of the third (Laughton 1937). It occurs in wet areas on heavy, red most dominant species and their combined basal area clay soils derived from dolerite. TWINSP AN indicator accounted for 68% of the canopy basal area, and jointly species for this association are: P. henkelii, X. they account for 66% of the stems in this layer. It is monospora, O. bullata, E. capensis subsp. natalitia and surprising that P. henkelii is still a dominant species in Peddiea africana. All these indicator species prefer moist this association in light of King's (1941) estimate that areas, X. monospora being the most mesophytic tree in 80% of the 50 000 m3 of timber extracted from these this part of the afromontane forest (Bews 1916). forests between 1904 and 1924 comprised this species. According to Palmer & Pitman (1972) it dominates in The enduring importance of P. henkelli in the canopy areas which have been subject to heavy exploitation. In may he due to the fact that sawyers selected only the course of the present survey the two subcanopy medium-sized trees. Van Zinderen-Bakker (1971) species E. capensis subsp. natalitia and P. africana were described Kiggelaria africana L. (the fourth most encountered only in the northern section of the study dominant canopy species) as mesophytic, which further area, and according to Coates-Palgrave (1983) their indicates that this association occurs in very moist areas. distribution extends beyond the study area into Natal. The four most important subcanopy trees are also The five most dominant species in each of the canopy, indicator species, X. monospora still being most subcanopy and shrub layers of this association are given dominant, accounting for 38% of the basal area and 32%

Table 4 Basal area and density of the five most important species in each of the canopy, subcanopy and shrub layers in association 1

Canopy Subcanopy Shrub layer

Basal area Density Basal area Density Basal area Density Species (m 2 ha" ) (stems ha" ) (m 2 ha~') (stems ha ~ ') (m 2 ha ~ ') (stems ha ~ ')

1. Xymalos monospora 12 ,33 63 ,6 3,54 114,7 0,18 62 ,3 2. Podocarpus henkelii 12,09 44 ,9 0,76 30,2 0, 18 90,5 3. Ocotea bullata 3,22 15 ,6 0,84 31 ,1 4. Kiggelaria africana 1,81 9,7 5. Podocarpus falcatus 1,62 3,6 6. Eugenia capensis 0,88 49,2 0,49 25 ,9 7. Celtis africana 0,49 15 ,2 8. May tenus mossambicensis 0,25 149 ,9 9. Peddiea africana 0, 12 81 ,2 Total for all spp. 36 ,01 164 ,9 9,27 362,0 2,18 1122 ,7

Table 5 Basal area and density of the five most important species in each of the canopy, subcanopy and shrub layers in association 2

Canopy Subcanopy Shrub layer

Basal area Density Basal area Density Basal area Density Species (m 2 ha ~ ') (stems ha ~ ') (m 2 ha ~ ') (stems ha ~ ') (m 2 ha ~ ') (stems ha ~ ')

1. Podocarpus falcartus 3,44 13,9 0,57 21,3 2. Podocarpus latifolius 2,74 15 ,9 3. Celtis africana 2,36 11 ,5 0,54 19 ,7 4. Sealopia mundii 1,73 8,4 0,70 24 ,4 5. Podocarpus henkelii 1,54 6,9 6. May tenus mossambicensis 1,02 60 ,1 0,39 160,1 7. Diospyros whyteana 0,60 40,0 0,49 229,2 8. Scutia myrtina 0,33 119 ,9 9. Canthium cilia tum 0,27 151,4 10. Clausena anisata 0,22 108,0 Total for all spp. 21 ,68 114,8 11,75 579,9 4,62 2292 ,0 36 S.-Afr.Tydskr. Plantk. , 1989 , 55(1) of the stem density. P. henkelii is much less important This accords with the findings of this survey because this and accounts for 8,2% of the basal area and 8,3% of the association occurs in dry areas. Since this association stem density. E. capensis subsp. natalitia is essentially a occurs in a large proportion of the plots it may be subcanopy species where its basal area is exceeded only inferred that most of the forests in the study area are by X. monospora. relatively dry, especially in zones A and E. The compo­ Peddiea africana is only important in the shrub layer sition of the various strata is given in Table 5. The D. where it is the fifth most important species. An whyteana association differs from the E. capensis subsp. important feature of the shrub layer is that dominance is natalitia-P. african a association in that it has a greater much less pronounced compared to the canopy and variety of species in the canopy, subcanopy and shrub subcanopy although the number of species contributing layers, and the three most dominant canopy species at least 1 % of the basal area is comparable to that of the account for 39% of the canopy basal area and 36% of the stems, much lower than corresponding figures in the subcanopy. previous association . Podocarpus falcatus (Thunb.) R. Br. ex Pers and P. Association 2: The Diospyros whyteana association latifolius (Thunb.) R. Br. ex Mirb. are important This is the most common association in the study area, constituents of the canopy. Both species prefer drier occurring mainly in zones A, C and E and accounting for sites than P. henkelii Stapf (Moll & Woods 1971), a 46% of all sample plots. The indicator species for this further indication that this association occurs in drier association, Diospyros whyteana (Hiem) F . White, is sites than association 1. Celtis africana N.L. Burm., the described by van Zinderen-Bakker (1971) as xerophytic. third most important canopy tree, generally occurs in a

Table 6 Basal area and density of the five most important species in each of the canopy, subcanopy and shrub layers of association 3

Canopy Subcanopy Shrub layer

Basal area Density Basal area Density Basal area Density Species (m 2 ha· l) (stems ha· l) (m 2 ha·l) (stems ha- l) (m2 hal) (stems ha-l)

1. Podocarpus falcatus 3.22 13,9 2. Podocarpus latifolius 2,35 13 ,2 0,14 72,0 3. Cussonia spicata 1,78 9,3 4. Scolopia munrlii 1,74 14 ,2 0,92 33,3 5. Nuxia floribunda 1,68 10,1 0,94 31,5 6. Trichocladus e/lipticus 3,70 234,0 2,15 737,0 7. Olea capensis 1,35 21 ,4 0, 15 57 ,3 8. Rapanea melanophloeos 0,63 25,4 9. Cryptocarya woodii 0.38 155 ,9 10. Diosporos whyteana 0,16 62 ,8 Total for all spp. 21 ,14 139,4 16 ,80 777,9 4,92 1903,3

Table 7 Basal area and density of the most important species in each of the canopy, subcanopy and shrub layers of association 4

Canopy Subcanopy Shrub layer

Basal area D ensity Basal area Density Basal area Density Species (m2 ha-l) (stems ha-l) (m2 ha-l) (stems ha-l) (m 2 ha- l) (stems ha-l)

1. Xymalos monospora 12 ,93 71 ,8 2,82 103,2 0,19 65 ,1 2. Podocarpus latifotius 4,30 22 ,0 3. Ocotea bullata 4,06 19 ,6 0,61 19 ,8 0,12 37 ,2 4. Podocarpus falcatus 3,56 15 ,7 5. Nuxia f10ribunda 3,00 15 ,5 6. Trichocladus ellipticus 3,94 180,0 1,04 404 ,2 7. Celtis african a 0,56 19 ,6 8. Olea capensis 0,53 21 ,3 0,13 47 ,7 9. Chionanthus peglerae 0,20 82,8 Total for all spp. 40 ,33 220,2 12 ,90 517,2 2,79 1096,3 S.Afr.l. Bot., 1989, 55(1) 37

wide range of habitats, especially in dry localities Association 4: The Xymalos monospora-Oeotea bullata (Laughton 1937; von Breitenbach 1974; Coates-Palgrave association 1983). Indicator species for this association are X. monospora D. whyteana and May tenus mossambieensis (KIotzsch) and O. bullata. Apart from sharing indicator species, this Blakelock are very important in both the subcanopy and association resembles association 1 in that: (i) it occurs in shrub layers. The dominance of M. mossambieensis and the wetter localities, (ii) has a relatively low diversity of S. myrtina in this association is probably due to excessive species per unit area and (iii) shows pronounced dominance. However, it differs from association 1 in herbivory and the continual removal of non-spinescent several important features. Firstly, it is more widely shrubs for fuel and hut building by the local population. distributed , occurring most frequently in zone B where 79% of the plots belonging to this association are located Association 3: The Seolopia mundii association (Table 3). Secondly Peddiea afrieana and Eugenia Indicator species for this association are: S. mundii, eapensis subsp. natalitia are absent from it and thirdly Sealopia zeyheri (Nees) Harv. and Carissa bispinosa (L.) Podoearpus henkelii is much less important. The two Desf. ex Brenan. S. mundii is one of the characteristic associations also differ considerably in subcanopy and species of White's (1983) undifferentiated afromontane shrub layer composition (Tables 4 & 7). Whereas E. forest in the Drakensberg mountain system. This asso­ eapensis subsp. natalitia is the dominant subcanopy tree ciation occurs in moister localities than the Diospyros of association 1, it is replaced by T. elliptieus in the subcanopy of association 4. whyteana association. This is indicated by the occurrence of the following mesophytic species in the canopy: N. Analyses of variance (AN OVA) floribunda, Curtisia dentata (N.L. Burm.) C.A. Smith, Results of the ANOV A's are presented in Table 8. Slope and O. eapensis subsp. maeroearpa. Although it is more and aspect were excluded from the table because no mesophytic, the S. mundii association shares the significant difference was found between the various following floristic congruences with the D. whyteana associations with respect to these variables. association: (i) the importance of P. faleatus and P. latifolius in the canopy, (ii) the great variety of species, Intercorrelations between variables and (iii) a lack of pronounced dominance. Table 9 shows the interrelationships between the eight variables discussed above. Table 8 Significantly different variables between the floristic associations at the 0,50 level Discussion If the climatic climax community in an area is the most Association Mean I 2 3 4 mesic, as suggested by Bews (1916) , then the Eugenia eapensis subsp. natalitia-Peddiea afrieana and the I. Basal area (m 2 ha-1) I 47 ,5 Xymalos monospora-Oeotea bullata associations (1 & 4) F ratio = 10,61 2 37 ,9 * are the climax communities in the study area, with the 3 43 , I drier D. whyteana and S. mundii associations (2 & 3) 4 55 , I being sera!' Further evidence in support of this 2. Total density (stems ha-1) 1 I 648 suggestion includes the indicator species of these F ratio = 16 ,56 2 2980 * associations and the fact that they have a significantly 3 2821 lower basal area and canopy density than the more mesic 4 I 833 associations (1 & 4) (Table 8). It is probable that

3. Canopy density (m 2 ha- 1) 164 Fratio = 17 ,11 2 114 · 3 139 Table 9 Intercorrelations between variables 4 219 Var 1 Var 2 Var 3 Var 4 Var 5 Var 6 Var 7 Var 8 4. Subcanopy density (m 2 ha- 1) I 361 F ratio = 18 ,24 2 579 · Var 1 1,000 -0,039 0,860 0,086 -0,125 -0,118 0,256 -0,161 3 778 Var 2 1,000 -0,232 0,415 0,973 0,134 0,519 0,076 4 516 * Var 3 1,000 -0,049 -0,306 -0,009 -0,054 -0,145 5. Shrub density (m 2 ha- 1) I I 122 Var 4 1,000 0,204 0,258 0,369 -0,002 F ratio = 15,63 2 1 902 · Var 5 1,000 0,079 0,466 0,089 3 2292 Var 6 1,000 0,143 0,175 4 1 096 Var 7 1,000 0,031 6. Species per plot I 12 Var 8 1,000 F ratio = 19 ,39 2 13 · The variables are: basal area (var 1) , total stem density (var 2) 3 19 canopy density (var 3), subcanopy density (var 4) , shrub density 4 13 (var 5) , slope (var 6) , number of species per plot (var 7) and aspect ' Significantly different associations (var 8) 38 S.-Afr.Tydskr. Plantk. , 1989, 55(1)

commercial logging coupled with subsistence among plots dominated by X. monospora compared to exploitation in the moist X. monospora- O. bullata plots dominated by other species such as P. henkelii in association has led to the degenerate D. whyteana and S. both the P. henkelii-E. capensis subsp. natalitia-P. mundii associations. The greater number of species per africana and the X. monospora-O. bullata associations. plot in these dry associations compared to the moister The high positive correlation between basal area and associations (Table 8) is probably due to an influx of canopy density (Table 9) shows that a large proportion species (which would otherwise be confined to the of the basal area is contributed by the large trees, and margins) into gaps created when commercial logging the high correlation between total density and shrub occurred. The D. whyteana association is drier and more density shows that most of the shrubs and saplings degenerate than the S. mundii association . The latter constitute the largest portion of the total density. The association has a higher density of subcanopy trees and correlation between total density and the number of shrubs (Table 8), probably because it was exploited to a species per plot may be due to the invasion of marginal lesser extent or has been afforded better protection subsequent to the severe commercial exploitation from species into the forest after the removal of canopy trees. the 1880's to the 1940's and is already more mesic. The same reasons may be given to explain the Clearly, most of the forests in Transkei have not yet correlation between shrub density and the number of recovered from the commercial exploitation which species per plot. Interpretation of the other ended some 40 years ago, but when given adequate interrelationships is much less obvious. protection, they display remarkable resilience and become increasingly mesophytic. Contrary to von Acknowledgements Breitenbach's (1983) suggestion that floristic differences We are greatly indebted to the University of Transkei for in these forests vary with slope and aspect, it was funding this project and to Mr S. Gangarathan who established in this survey that the various associations wrote some of the computer programs and ensured that did not occur on significantly different slopes or aspects. all programs worked. We wish to thank all those who The floristic distinctiveness of the E . capensis subsp. helped in the identification of our specimens, in natalitia-P. african a assocIatIOn has long been particular Prof. O.H. Hilliard, Mrs N.e. Anthony, recognized (Laughton 1937; King 1941) and should not Messrs K. Balkwell and J .e. Manning, K.H. Cooper and be regarded as a variant of the X. monospora-O. bullata association. Indeed its site requirements are very Prof. E.J. Moll. We would also like to thank Mrs A. different from the more widespread associations. Both Bosa and Mrs S. Shackleton and the referees for reading historical records (Laughton 1937; King 1941) and the manuscript and their helpful comments. Finally, we TWINSPAN indicator species show that this association would like to express our gratitude to the Transkei was heavily exploited. The low density of medium-sized Department of Agriculture and Forestry for the trees (Table 8) is a further indication of such provision of accommodation and labour when required. exploitation. References A baffling feature of this type of forest is its poor regeneration status, a phenomenon which is not ACOCKS, J.P.H. 1953. Veld types of South Africa. Mem. restricted to Transkei, but is also recorded in Natal and bot. Surv. S. Afr. 28 . BARKMAN, J.J. , MORAVEC, J. & RAUSCHERT, S. as far north as Malawi (Moll & Dowsett 1985 pers. 1986. Code of phytosociological nomenclature. Vegetatio comm.). According to Moll & Haigh (1966) the low 67: 145- 195. density of saplings was once attributed to their removal BEWS, J. W . 1916. An account of the chief types of vegetation for the construction of huts and cattle enclosures and to in South Africa, with notes on plant succession. 1. Ecol. IV the sheltering of cattle in the forest during winter. Moll (3 & 4) . & Haigh (1966) further suggest that P. henkelii required CA WE, S.G. & McKENZIE, B . 1989. The afromontane partial shading in order to regenerate and was smothered forests of Transkei . I: The importance of phytogeography by the dense understory in disturbed areas. Moll (1972) and past utilization in the study of forest patches and a proposes that the climate is becoming too dry for this description of a sampling strategy. S. Afr 1. Bot. 55: 22-30. type of forest, but Laughton (1942) thinks that soil COATES-PALGRAVE, K.c. 1983. Trees of southern Africa. conditions are no longer suitable for the establishment of Struik, Cape Town & Johannesburg. P. henkelii seedlings. The ecology of this forest type FORMAN, R.T.T. & HAHN, D.C. 1980. Spatial patterns in a requires more study before it can be managed rationally Caribbean semi-evergreen forest. Ecology 61: 1267- 1274. and should be afforded more protection. GELDENHUYS, c.J. 1980. The effect of management for Palmer & Pitman (1972) suggest that X. monospora timber production on floristics and growing stock in the southern Cape forests. S. Afr. For. f. 113: 6-15. dominates in heavily disturbed areas. This is not GELDENHUYS, c.J. 1983. Plaaslike volumetabel vir necessarily true because X. monospora is dominant in the inheemse boomsoorte in die Suid-Kaap. In: South African relatively undisturbed X. monospora-O. bullata forestry handbook, ed. Oodendaal,P.B., pp. 356-357, association. Bews (1916) , Laughton (1937) and von South African Institute of Forestry, Pretoria. Breitenbach (1974) further propose that the dense shade GERSTNER, J. 1946. Some factors affecting the perpetuation cast by X. monospora hinders the establishment of most of our indigenous silva. J. S. Afr. For. Assoc. 13 : 4-11. tree seedlings. This seems doubtful because no GRANGER, J.E. 1984. Fire in forest. In: Ecological effects of significant difference was found in the number of species fire in South African ecosystems, eds Booysen , P. de. V. & S.Afr.J. Bot. , 1989,55(1) 39

Tainton, N. , Ecological studies 48 , Springer-Verlag, and a forest ordination at Xumeni, Natal. Bothalia 10 : Berlin. 451--460. HALL, J.E. & SWAINE, M.D. 1981. Distribution and PALMER, E. & PITMAN, c., 1972. Trees of South Africa. ecology of vascular in a tropical rainforest. Forest Vol. 1- 3, A.A. Balkema , Cape Town. vegetation in Ghana. W. Junk, The Hague. PROCTOR, J. , ANDERSON, J.M., CHAI, P. & HILL, M.O. 1979. TWINS PAN - a FORTRAN program for VALLACK, H.W. 1983. Ecological studies in four arranging multivariate data in an ordered two-way table by contrasting lowland rainforests in Gunung Mulu National classification of the individuals and attributes. Ecology and Park, Sarawak. I: Forest environment, structure and systematics, Cornell University, Ithaca, New York, 14850 floristics. 1. Ecol. 71 : 237- 260. USA. ROBERTSON, c.c. 1924. The forests of South Africa. Emp. For. Rev. 3: 99- 121. HUNTLEY, B.J. 1984. Characteristics of South African ROGERS, D.J. & MOLL, E .J. 1975 . A quantitative biomes. In: Ecological effects of fire in South African description of some coast forests of Natal. Bothalia 11: ecosystems, eds Booysen, P. de. V. & Tainton, N., 523- 537. Ecological studies 48 , Springer-Verlag, Berlin. SIM T. R. 190. The forests and forest flora of the colony of the & KING, L.c. 1967. South African scenery. Oliver Boyd, Cape of Good Hope. Taylor & Henderson, Aberdeen. London. TAYLOR, H.C. 1961. The Karkloof Forest; a plea for its KING, N.L. 1941. The exploitation of the indigenous forests protection . For. S. Afr. 1: 123- 134. of South Africa. 1. S. Afr. For. Assoc. 6: 26-48. VAN ZINDEREN-BAKKER, E.M. 1971. Ecological LAUGHTON, F.S. 1937. The sylviculture of the indigenous investigations on ravine forests of the eastern Orange Free forests of the Union of South Africa with special reference State. M.Sc. thesis, Univ. of the Orange Free State. to the forests of the Knysna region. Science Bulletin no. VON BREITENBACH, F. 1984. Southern Cape forests and 157, Forestry series no. 7, Government Printer, Pretoria. trees. The Government Printer, Pretoria. LAUGHTON, F.S. 1942. Notes on the sylviculture of the VON BREITENBACH, F. 1983. Notes on the indigenous indigenous forests. 1. S. Afr. For. Ass. 8: 24--36. forests of Transkei. 1. Dendrol. 3: 17- 53. LIEBERMAN, M. , LIEBERMAN, D. , HARTSHORN, WATT, W.E. 1947. The conservation of existing forests and G.S. & PERALTA, R. 1985. Small-scale altitudinal the need to plant forest trees for effective soil conservation variation in lowland wet tropical forest vegetation. 1. Ecol. in the Union of South Africa. 1. S. Afr. For. Assoc. 15 : 73: 505- 516. 8- 10. MARKS, F.L. & HARCOMBE, P.A. 1981. Forest vegetation WHITE, F. 1978. The afromontane region. In: Biogeography of the Big Thicket, south-east Texas. Ecol. Monogr. 51: and ecology of southern Africa ed. Werger, M.J.A., pp. 287- 305 . 463- 513 , W . Junk, The Hague. MOLL, E.J. 1972. The current status of mistbelt mixed WHITE, F. 1983. The vegetation of Africa: a descriptive Podocarpus forests in Natal. Bothalia 10: 595- 598. memoir to accompany the UNESCO/AETFAT/UNSO MOLL, E.J. 1977. A plea for Gwaleweni Forest, Zululand. vegetation map of Africa. Natural Resources Research 20, Trees in South Africa 21 : 17- 23. UNESCO, Paris. MOLL, E.J. 1978. A plea for Ngoye Forest. Trees in South WHITTEN, A.J. 1982. A numerical analysis of tropical Africa 30: 61 - 70. rainforest using floristic and structural data, and its MOLL, E.J. 1983. The southern Cape forests. S. Afr. For. 1. application to an analysis of gibbon ranging behaviour. 1. 127: 31- 34. Ecol. 70: 249-271 . MOLL, E.J. & HAIGH, H. 1966. A report on the Xumeni WOOD, P.c. & VAN SCHOOR, N.M. 1976. The agricultural Forest, Natal. For. S. Afr. 7: 99- 108. potential of Transkei. Department of Bantu MOLL, E.J. & WOODS, D .E. 1971. The rate of tree growth Administration, Pretoria.