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Variation in the composition and diversity of ground-layer herbs and shrubs in unburnt and burnt landscapes

Published online by Cambridge University Press:  09 July 2018

Daniel F. R. Cleary*
Affiliation:
Departamento de Biologia, CESAM – Centro de Estudos do Ambiente e do Mar, Universidade de Aveiro, 3810-193 Aveiro, Portugal
Karl A. O. Eichhorn
Affiliation:
Eichhorn Ecologie, Zeist, the Netherlands
*
*Corresponding author. Email: cleary@ua.pt or dfrcleary@gmail.com
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Abstract:

Forest fires pose an important threat to tropical rain-forest biodiversity. In the present study, we assessed ground layer (herb and shrub) communities in six differentially disturbed landscape plots in East Kalimantan, Indonesia, including primary and logged forest and once-, twice- and frequently-burnt forest. Overall, we recorded 175 species of herbs and shrubs; richness was highest in twice-burnt forest and lowest in logged forest. Vegetation and topographical variables including the percentage of the plot burnt and tree abundance were significant predictors of variation in composition. The main compositional gradient showed a clear distinction between subplots in unburnt versus burnt forest. A subset of subplots in burnt forest, however, clustered together with subplots from unburnt forest. These plots were located in a network of relatively unscathed forest along floodplains that persisted in the burnt-forest matrix. Small plant species associated with unburnt forest included several species of Dryopteridaceae, Marantaceae and Rubiaceae. Species associated with once- and twice-burnt forest included Mikania scandens (Compositae), Microlepia speluncae (Dennstaedtiaceae), Nephrolepis cf. biserrata (Nephrolepidaceae), Lygodium microphyllum (Schizaeaceae) and Hornstedtia cf. reticulata (Zingiberaceae). The frequently-burnt landscape plot was characterized by a high cover of the grass species Imperata cylindrica and the invasive exotic shrub Chromolaena odorata. Importantly, these species and other exotics had also invaded the once- and twice-burnt forest and represent a potential threat to forest recovery.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

Figure 1. Mean percentage cover (error bars represent a single standard deviation) of ferns (a), grasses (b), monocot herbs (c), dicot herbs (d), sedges (e), shrubs (f) and herbaceous climbers (g) in primary forest in the large (P1) and small (P2) unburnt isolates, logged forest (L1) in the large unburnt isolate, once-burnt forest (B1), twice-burnt forest (B2) and the frequently-burnt landscape plot (B3) in East Kalimantan, Indonesia. (h) Total herb and shrub species richness.

Figure 1

Figure 2. Variation in the composition of herbs and shrubs showing the first two axes of the PCO analysis. Large symbols and codes refer to subplots in primary forest in the large (P1) and small (P2) unburnt isolates, logged forest (L1) in the large unburnt isolate, once-burnt forest (B1), twice-burnt forest (B2) and the frequently-burnt landscape plot (B3) sampled in East Kalimantan, Indonesia. Black codes refer to loadings for selected species; for species codes see Table 1. Abbreviations of vegetation and topography variables (indicated by blue arrows) are: percentage of the plot burnt (Fire), altitude (Alti), inclination (Incl), total basal area (trees and liana combined; Bas.tot), tree basal area (Bas.tr), mean tree diameter (Dia.tr), maximum tree diameter (Dia.mx.tr), tree density (Ab.tr) and liana density (Ab.li).

Figure 2

Table 1. Family, species, growth form and abundance of the most frequently encountered species of herbs and shrubs in primary forest in the large (P1) and small (P2) unburnt isolates, logged forest (L1) in the large unburnt isolate, once-burnt forest (B1), twice-burnt forest (B2) and the frequently-burnt-landscape plot (B3) in East Kalimantan, Indonesia. The numbers refer to the number of subplots in which the species in question was encountered. Form refers to the growth form whereby HerMon refers to monocot herb and HerDic to dicot herb.

Figure 3

Appendix 1. Table of subplots sampled in the present study. The columns show longitude and latitude in decimal degrees, Landscape (landscape plot), Mosaic (burnt, small unburnt isolate and large unburnt isolate), Fire (percentage of subplot burnt), altitude (metres above sea level) and inclination (slope of plot in degrees) of all subplots sampled in East Kalimantan, Indonesia.