and min. elevation (m) Mean annual precipitation
(mm/year) Mean annual temperature (°C) Foresta Canopy height (m) Soil Saluki 4 288 250–340 1890 24.6 Lowland – – Au 7 831 580–980 2080 22.9 Hill-upland 21.2–30b Ultisolc Moa 11 933 725–1030 2060 21.9 Hill-upland 21.2–30b Ultisolc Palili 4 1068 1040–1090 1800 21.0 Upland – – Pono 3 1052 930–1200 1894 21.3 Upland 29.3d Ferralsole Nokilalaki 4 1230 1200–1250 1810 19.9 Upland – – Bariri 3 1437 1400–1480 1970 19.2 Upland 25d Nitisole Nokilalaki 4 1443 1400–1470 1820 19.6 Upland – – Nokilalaki 4 1845 1800–1820 1930 17.2 Montane 22.3d https://www.selleckchem.com/products/MDV3100.html GSK1120212 supplier Cambisolsd Nokilalaki 2 2170 2170 1940 17.0 Montane – – Rorekatimbu 4 2400 2380–2420 2131 14.1 Montane 19.8d Cambisolsd Note: Climate data from WorldClim (Hijmans et al. 2006, http://www.worldclim.org) aClassification after Cannon et al. (2009) bSiebert (2005) cSiebert (2001) dCulmsee (unpublished data) eCulmsee and Pitopang (2009) Methods Field sampling Inventories were conducted between February and August 2008. At each study site we established sample plots of 10 × 100 m2 selleck products which consisted of ten subplots (10 × 10 m2). The sample plots were placed horizontally at one elevation within the surveyed forest area. A total number of 50 plots were sampled. Subplots were measured, marked with sticks and the following information
about the rattan palms was noted: species, number of individuals (including seedlings), growth form (solitary or clustering), number of shoots per cluster and length of the stems. For the clustering rattan species (a form of vegetative propagation), a cluster was considered as an individual. Local assistants (former rattan collectors), who were familiar with the rattan palms, helped with the inventory. With their assistance the rattan species were distinguished, classified as morphospecies and
labelled with their local names. For every morphospecies three voucher specimens were collected for later determination at the herbaria of Bogor (BO), Palu (CEB) Edoxaban and Göttingen (GOET). Data analysis We determined the species richness and density of rattan palms for all species and for the commercially important species at plot level (0.1 ha). The adequacy of sampling intensity was tested with estimators after Chao (1987, formula 8). We calculated the Chao 1 index based on the species which occurred in only one or two subplots within plots and the Chao 2 index based on the species represented by only one or two individuals in the plots. Regression models were calculated for the species richness and density against the elevation and the mean annual precipitation with the software R (Version, 2.9.2, URL: www.r-project.org). The data for precipitation were derived from WorldClim (Hijmans et al. 2006, http://www.worldclim.org).