Abstract
Conversion of natural habitats to agriculture reduces species richness, particularly in highly diverse tropical regions, but its effects on species composition are less well-studied. The conversion of rain forest to oil palm is of particular conservation concern globally, and we examined how it affects the abundance of birds, beetles, and ants according to their local population size, body size, geographical range size, and feeding guild or trophic position. We re-analysed data from six published studies representing 487 species/genera to assess the relative importance of these traits in explaining changes in abundance following forest conversion. We found consistent patterns across all three taxa, with large-bodied, abundant forest species from higher trophic levels, declining most in abundance following conversion of forest to oil palm. Best-fitting models explained 39–66 % of the variation in abundance changes for the three taxa, and included all ecological traits that we considered. Across the three taxa, those few species found in oil palm tended to be small-bodied species, from lower trophic levels, that had low local abundances in forest. These species were often hyper-abundant in oil palm plantations. These results provide empirical evidence of consistent responses to land-use change among taxonomic groups in relation to ecological traits.
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Introduction
Agriculture is the main driver of tropical deforestation (Kissinger et al. 2012), and the expansion of oil palm plantations threatens tropical forests in Asia, Latin America, and Africa (Butler and Laurance 2009; Laurance et al. 2010; Wilcove and Koh 2010). Conversion of forest to oil palm plantation reduces species richness and abundance, and alters species composition in a range of taxa (Fitzherbert et al. 2008; Danielsen et al. 2009; Sodhi et al. 2010). Previous studies have suggested that habitat- and diet-specialist, and restricted-range species may be most at risk from conversion of tropical forest to oil palm (Danielsen and Heegaard 1995; Aratrakorn et al. 2006; Chey 2006; Peh et al. 2006; Fitzherbert et al. 2008), but it is unclear whether there is any consensus in such patterns among major taxonomic groups. Integrated analyses of existing data provide the potential to obtain new insights, and to examine ecological and phylogenetic variables known to be important for explaining species’ responses to land-use change (McKinney 1997; Henle et al. 2004).
Ecological response traits (henceforth termed ‘ecological traits’), such as body size and feeding guild, group species together according to shared responses to environmental disturbances and are often strongly associated with functional effect traits (henceforth termed ‘functional traits’), which classify species based on their shared effects on particular ecosystem functions (Lavorel and Garnier 2002). Consequently, assessing how different ecological traits are affected by land-use changes can reveal concurrent impacts on ecosystem functioning (Hooper et al. 2005; de Bello et al. 2010). More directly, response traits can help to understand mechanisms driving species declines and aid conservation efforts by predicting species groups at greatest risk from land-use changes (McGill et al. 2006; Williams et al. 2010). For example, studies have demonstrated that certain feeding guilds are more sensitive to habitat disturbance than others (Gray et al. 2007; Attwood et al. 2008), and predatory species, particularly large-bodied or specialist predators, are especially sensitive to disturbance and land-use changes (e.g., Kareiva 1987; McKinney 1997). Other species traits associated with vulnerability to extinction following habitat fragmentation, land-use change and disturbance include local rarity, large body size, and small geographic range size (e.g., Terborgh 1974; McKinney 1997; Henle et al. 2004). Conversely, omnivores tend to be more resilient to land-use changes (e.g., McKinney 1997; Henle et al. 2004). Mechanisms underlying these trait sensitivities include a reliance on highly specialised resources, and greater energy requirements resulting in low population densities and the need for larger home ranges (e.g., Henle et al. 2004; Damuth 1981).
In cases where ecological traits are associated with functional traits, it is possible to infer direct relationships between declining traits and ecosystem processes. For example, Larsen et al. (2005) showed that larger-bodied dung beetles were more susceptible to extinction following habitat loss and were more functionally efficient than smaller-bodied beetles. Declines in larger-bodied beetles following habitat loss reduced rates of dung burial, an important ecosystem function. The same study also showed that declines in bee abundance and species richness following habitat disturbance reduced pollination rates (Larsen et al. 2005). For vertebrates, long-distance seed dispersal depends disproportionately on a few larger-bodied frugivorous birds and mammals, with decreased abundances of frugivorous birds directly reducing rates of seed dispersal (Moran et al. 2009; Velho et al. 2012). Furthermore, the loss of top predators can cause trophic cascades through food-webs, leading to a hyper-abundance of seed predators and herbivores, and subsequent reductions of seedling and sapling density (Terborgh et al. 2001). Comparison of species responses across different taxonomic and functional groups may thus help to predict ecological consequences of land-use change for ecosystem functioning (Lewis 2009; Morris 2010; Sodhi et al. 2010).
Ecological traits have been widely used to study land-use changes, but very few studies have used them to assess the impacts of converting rain forest to oil palm, and none of these have considered multiple ecological traits across several taxonomic groups. In this study, we assess (i) the relative importance of different ecological traits for explaining changes in abundance following conversion to oil palm, and (ii) the congruence of trait-specific responses across different taxonomic groups. We use a multi-taxon approach, focusing on birds, ants and beetles, which provides greater insight into community level effects than would a single taxon study (Fazey et al. 2005). We use abundance data extracted from published studies to test the hypothesis that, across the three taxonomic groups, species vary in their sensitivity to the conversion of forest to oil palm, and that locally rare, range-restricted, predatory, and large-bodied species show the greatest declines in abundance following the conversion of forest to oil palm. For birds, we account for potential confounding effects of phylogeny (Sibley and Ahlquist 1990) by using phylogenetically independent analyses, but suitable phylogenetic information is not currently available for ants or beetles.
Methods
We focused on birds, ants and beetles as three ecologically diverse taxa, thereby including vertebrates and invertebrates, social and non-social insects, and taxa representing a range of different feeding groups. We excluded taxa which contain only a single feeding group (e.g., herbivorous Lepidoptera), as it is not possible to quantitatively compare changes in abundance between guilds in such taxa. We searched ISI Web of Knowledge (WoK) for studies examining changes in abundance in forest and large-scale, mature (>10 years) oil palm habitats. We used the following key words: (‘oil palm’) AND ((‘biodiversity’) OR (‘bird(s)’ OR (‘avian’) OR (‘ant(s)’) OR (‘beetle(s)’) OR (‘coleoptera’) OR (‘species richness’) OR (‘composition’) OR (‘abundance’) OR (‘forest’)). We also searched reference lists and citations of studies found from these searches. To ensure our quantitative analyses were robust, we limited our search to peer-reviewed literature. Four otherwise suitable studies had to be excluded from analyses because abundance data for individual species or genera were unavailable (Danielsen and Heegaard 1995; Aratrakorn et al. 2006; Turner and Foster 2009; Brühl and Eltz 2010).
The final dataset used for analysis was from six published studies which compared extensive tracts of selectively logged, or in one case unlogged, forest with oil palm sites in SE Asia (Malaysia). Studies were limited to those from SE Asia to avoid biogeographical differences in species responses (e.g., Gray et al. 2007). Studies comparing forest and oil palm at more than one location contributed more than one dataset to the analyses (Peh et al. 2006) and so these studies provided a total of seven datasets for analysis; four for birds (total of 188 species), two for ants (207 species) and one for beetles (91 genera). For those studies with unequal sampling effort in different habitats, we randomly selected an equal number of samples from each habitat for analysis (Peh et al. 2006; Sheldon et al. 2010). We excluded species or genera recorded only as singletons from the analyses to avoid errors due to insufficient sampling. This cut-off value was chosen to maximise the number of species/genera analysed, and followed sensitivity analyses that showed that findings were qualitatively similar for thresholds of two, five or ten individuals per species or genus.
We analysed ant data averaged across the two studies comparing oil palm to unlogged forest (Fayle et al. 2010) and to logged forest (Lucey and Hill 2012). To examine whether combining data from logged and unlogged forest sites affected our findings, we compared final parameter estimates from analyses of the combined ant dataset (n = 207 species) with those from just the selectively logged forest dataset (n = 92 species). The parameter estimates were not qualitatively different between these analyses, and so the combined dataset was used to maximise the number of ant species analysed. This approach of combining the two studies is supported by recent studies showing little difference between species assemblages in unlogged and selectively logged forest (Berry et al. 2010; Edwards et al. 2011; Woodcock et al. 2011).
Bird names were assigned according to Sibley and Monroe (1990), ants according to Bolton et al. (2006), and beetles according to Bouchard et al. (2011 and the Universal Biological Indexer and Organizer project (www.ubio.org). Ant analyses included morphospecies that represent unique species, but that have not yet been ascribed to known species. However, because morphospecies were not named consistently across studies, we analysed morphospecies data from only the most species-rich dataset (Fayle et al. 2010) to avoid pseudoreplication.
Traits examined and guild classification
We examined the traits of body size, local population size, geographic range size, and trophic position or feeding group classifications of species (hence forth termed ‘feeding guild’). Data on bird body mass and ant body size were from Dunning (2009) and antweb.org, respectively and average values by genus were used if species-level values were unavailable (birds: 6/188 species, and ants 175/207 species); data on bird geographic range sizes were from Birdlife International (2011); local population size was calculated as the mean total abundance of species/genera in forest sites. Our measure of ant abundance (see “Analyses” below) gives a robust measure of population size that is independent of colony size. There were no data available for ant or beetle geographical range sizes, or for beetle body sizes.
Birds were assigned to one of six feeding guilds based on Wong (1986), Lambert (1992), Cleary et al. (2007), Jeyarajasingam and Pearson (1999), MacKinnon and Phillipps (1999) and Phillipps and Phillipps (2009) (Table 1). Beetles were assigned to guilds based on classifications in Hunt et al. (2007). Three bird species and 14 beetle genera were excluded from analyses, due to a lack of consensus in feeding guild assignment (birds), or where feeding guild was unknown (beetles).
Assigning species or genera to feeding guilds is possible for well-studied groups, such as birds. However, for hyper-diverse and poorly studied rainforest taxa, assigning guilds is challenging and often impractical (Blüthgen et al. 2003), particularly given that feeding habits of many species do not fall into discrete categories (Petchey and Gaston 2002). However, it is possible to examine the feeding habits of species using analysis of stable isotope ratios (Layman et al. 2007). Nitrogen isotope ratios (15N:14N, expressed as δ15N values) are particularly useful in determining trophic positions because δ15N values increase by approximately 2.5–3.5 % during each trophic transfer (Vanderklift and Ponsard 2003). δ15N values can therefore be converted into direct measures of trophic position (Post 2002), with trophic positions of approximately 2 indicating a plant-based diet and a trophic position ≥4 likely to indicate an entirely carnivorous diet. Ants were assigned trophic positions according to stable isotope data from Woodcock (2011), based on ants sampled from continuous primary forest in Sabah, Malaysia (see Woodcock et al. 2012 for details on methodology). Differences in morphospecies classifications meant that for most ants (178/207 species) species-level data on trophic position were not available, and so species were assigned average values by genus, following Gibb and Cunningham (2011). Six ant species were excluded from analyses because data were not available for any members of the genus. This genus-averaging approach is supported by the observation that, for adequately sampled taxa, the standard deviation of trophic level for different species within each genus (mean σ = 0.31) was only fractionally higher than the standard deviation for different colonies of each species (mean σ = 0.27) (Woodcock 2011).
Analyses
Analyses were conducted separately for bird species (four datasets), ant species (two datasets), and beetle genera (one dataset). Ants may form large nests of thousands of individuals, and so individuals sampled at the same sampling point are unlikely to provide independent data. We thus analysed the incidence of species at sites (henceforth termed ‘abundance’), based on their presence or absence at individual sampling points within sites (e.g., Woodcock et al. 2011). Beetle analyses were conducted at the genus level, in line with the predominantly genus level identification in the original study (Chung et al. 2000). We computed changes in the abundance of species (birds and ants) or genera (beetles) between sampling locations in forest and oil palm. Following Gray et al. (2007), the mean change in abundance per guild was calculated as:
where S = number of species/genera in the guild, g, and n = abundance of a species/genus (i) in oil palm (op) and forest (f). For 29 bird species and 20 ant species recorded in multiple studies, we computed the average change in abundance across studies. Data were then standardised according to total abundance of species/genera in forest and oil palm. Thus Eq. 1 weights all species/genera equally according to abundance with possible values ranging from +1, when all individuals are found only in oil palm, to −1 when all individuals are found only in forest.
We conducted separate analyses for the three taxa, containing the following variables; for birds: feeding guild (categorical), local population size (continuous), body mass (continuous) and geographical range size (continuous); for ants: trophic position, local population size and body size (all variables continuous); for beetles: feeding guild (categorical), and local population size (continuous).
We employed an information-theoretic approach to identify and select the best models for explaining changes in abundance in each of our three taxa. For each taxon, we constructed models with all possible combinations of the variables described above. We then fitted general linear models to the data for ants and beetles and phylogenetic generalised linear models (PGLS, see Freckleton et al. 2002) to the data for birds. The PGLS analysis was carried out using the most extensive estimate of avian phylogeny (Sibley and Ahlquist 1990). It is based on Pagel’s (1999) measure of phylogenetic independence (λ), which unlike many other statistical phylogenetic approaches, allows continuous and categorical variables to be analysed together (Pagel 1999). The PGLS method determines a maximum likelihood value for λ, which is then used to correct for phylogenetic non-independence in the data. λ ranges from 0 to 1, where 0 indicates the relationship between traits to be independent of phylogeny and 1 signifying that more closely related species are more likely to have the same trait values.
Prior to final analyses, model diagnostic plots were checked for homogeneity of variance and normality of residuals, following Faraway (2006). Non-homogeneous variances and non-normal residuals were corrected by the following transformations: log10 (bird geographical range size and body mass, ant body size and population size, and beetle population size), log10 square-root (ant change in abundance) and cube root transformation (bird population sizes). After transformation, all continuous predictor variables were standardised to equivalent scales by subtracting the mean value and dividing by twice the standard deviation (Grueber et al. 2011). This means that effect sizes can be used to directly compare the relative importance of each predictor variable for explaining changes in abundance, and that main effect estimates are still interpretable for models that included interaction terms (Schielzeth 2010; Grueber et al. 2011).
Models were ranked according to their AICc values (Burnham and Anderson 2002; Mazerolle 2006), which are commonly used for model selection and account for potential biases due to small sample sizes. The smaller the AICc value, the better the model’s fit (Burnham and Anderson 2002). We calculated the difference in AICc value between each model and the best model (delta AIC: Δi). Best models were selected as those with Δi values <2. If there were multiple models with Δi values <2, we carried out model-averaging across these models or, if no other model had a Δi value <2, we used the parameters estimates from the single best model (Burnham and Anderson 2002). This allowed estimation of effect sizes and confidence intervals (CIs) for each predictor variable: effect sizes for continuous variables were slope estimates, whereas estimates for categorical feeding guilds were mean changes in abundance for each guild. To assess the overall goodness-of-fit of best models, adjusted R 2 values are presented.
Results
From six published studies we extracted seven datasets, allowing us to analyse responses of 188 bird species, 207 ant species, and 91 beetle genera, which ranged from endemic to ubiquitous taxa. Birds and beetles spanned 10 feeding guilds, and ant species ranged from herbivorous species (trophic position = 2.0) to entirely carnivorous species (trophic position = 4.7). Ant body lengths varied from 0.5 to 8.0 mm and bird body masses from 5.6 g to 2.9 kg.
For birds, overall species richness in forest declined by 43 % following conversion to oil palm (175 species in forest vs. 99 in oil palm), and abundance declined by 18 % following conversion (3,812 individuals in forest vs. 3,122 in oil palm). For ants, both species richness and abundance declined by 61 % following conversion (190 species and 1,003 incidences in forest vs. 74 species and 388 incidences in oil palm) and for beetles there was a 52 % decline in generic richness (85 genera in forest vs. 41 in oil palm) and a 54 % decline in abundance (984 individuals in forest vs. 450 in oil palm) following conversion.
Selection of best models and model confidence
All the ecological variables we examined were present in the best models for all three taxa (Table 2). For birds, the model with the lowest AICc value contained the ecological predictor variables of feeding guild, body size, local population size, and geographical range, without any interactions. Both of the best ant models contained all three predictor variables of trophic position, body mass, and local population size, as well as an interaction between trophic position and body size. The best beetle model also contained both predictor variables of feeding guild and local population size. Overall model confidence was high for all three taxa, with 43 % of the variation in the data set explained in the best bird model, 39 % in the best ant model and 66 % in the best beetle model (Table 2).
Best predictors of sensitivity to conversion
Presented below are effect sizes and 95 % confidence intervals for each variable included in best models. Effect sizes for continuous variables are slope estimates of the variable against change in abundance, whereas estimates for categorical feeding guilds are mean changes in abundance for each guild. Parameter estimates from bird analyses indicated that different feeding guilds varied in their sensitivity to the conversion of forest to oil palm, although some guilds had low sample sizes (Fig. 1). Insectivores (effect size: −0.48; 95 % CIs: −0.63, −0.34) and frugivores (effect size: −0.55; CIs: −0.76, −0.34) declined most in abundance following forest conversion, whilst nectarivores showed smaller declines (effect size: −0.40; CIs: −0.77, −0.026). In contrast, omnivores (effect size: −0.21; CIs: −0.46, 0.045) showed no significant decline in abundance following conversion of forest to oil palm.
Local population size, body mass, and geographical range size all had significant effects on the change in abundance of bird species following conversion to oil palm. Local population size had by far the greatest relative impact, with an estimated effect size of −0.75 (CIs: −0.92, −0.59), followed by geographic range size with an estimated effect size of 0.36 (CIs: 0.20, 0.53), and body mass had the smallest relative impact on change in abundance with an estimated effect size of −0.19 (CIs: −0.37, −0.010). Therefore, in decreasing order of importance, bird species with large local population sizes in forest, small geographic ranges, and large bodies declined most in abundance following conversion to oil palm (Fig. 1).
In ant analyses, trophic position and local population size both had significant impacts on change in abundance. In addition, the highly significant positive interaction between trophic position and body size (effect size: 1.23, CIs: 1.01, 1.46) was by far the most important factor explaining changes in ant abundance, suggesting that large-bodied, carnivorous ants declined most in oil palm (Fig. 1). Trophic position was the second best predictor of change in abundance (effect size: −0.50, CIs: −0.66, −0.33), followed by local population size (effect size: −0.26, CIs: −0.41, −0.11). The effect of body size on its own was not significantly different from zero (effect size: −0.03, CIs: −0.22, 0.16). Therefore, in decreasing order of importance, large-bodied ants with more carnivorous diets, carnivorous ants in general, and ants with large local population sizes in forest were particularly vulnerable to conversion to oil palm.
The beetle analyses suggest that feeding guild was not as important for predicting abundance change as for birds and ants, with all guilds except for algivores declining similarly in oil palm. Algivores appear to be more abundant in oil palm than in forest but there were only two genera in this guild, resulting in large confidence intervals (effect size: 0.20, CIs: −0.71, 1.73). All other guilds declined in abundance following conversion. The largest decline was for predators with an effect size of −0.80 (CIs: −0.91, −0.64), followed by saprophages (effect size: −0.73; CIs: −0.88, −0.53), fungivores (effect size: −0.69; CIs: −0.83, −0.50) and herbivores (effect size: −0.69; CIs: −0.91, −0.35). Whilst this suggests that predators may have declined slightly more than other guilds following conversion, population size appeared to be a better predictor of vulnerability for beetles (estimate: −0.25, CIs: −0.37, −0.13). Therefore, genera with large local population sizes in forest declined most in abundance in oil palm.
Similarity of responses among taxa
Across taxonomic groups, there were consistent declines in the abundance of large-bodied and locally abundant forest species, and of species from higher trophic levels following conversion of forest to oil palm. Therefore, species occurring at highest abundances in oil palm plantations tended to be small-bodied species, from lower trophic levels, that are locally rare in forest. Following land-use conversion, relative abundance patterns of species/genera were also less evenly distributed within the three taxa. In each taxon, a small number of species/genera were dominant and became hyper-abundant in oil palm (see supplementary online material 1).
Influence of phylogeny
Comparison of phylogenetic and non-phylogenetic bird analyses revealed little difference in estimated variable parameters (Fig. 2). Model selection in the non-phylogenetic analyses identified a set of three best models, which were the first, third and fifth best models in the phylogenetic analyses. In the phylogenetic bird analyses, the maximum likelihood value of λ for each of the five best models deviated significantly from 1 (p < 0.0001 in all cases) but not from 0 (p > 0.16 in all cases). Thus, there was little evidence that any of the traits considered were related to phylogeny. Although caution is required when extrapolating trends across taxa, the phylogenetic independence of bird analyses may lend support to the validity of the non-phylogenetically adjusted ant and beetle analyses.
Discussion
Conserved trait declines
Our results showed consistent responses across taxa in terms of which ecological traits were most affected by conversion of forest to oil palm. The most abundant species in oil palm tended to occur at very low abundances or be absent in forest, and large-bodied species and those from higher trophic levels also occurred at much lower abundances in oil palm than in forest. This study provides quantitative evidence for consistent patterns in the sensitivity of ecological traits across different taxonomic groups following the conversion of forest to oil palm. Our results show that across three ecologically diverse taxonomic groups, species found in oil palm plantations consistently tend to be small-bodied species, from lower trophic levels, that are locally rare in forest.
Drivers of trait declines
Our results on consistent patterns of declines in traits in different taxa following conversion of forest to oil palm suggest that there may be consistent extinction drivers acting across taxonomic groups. In tropical forest habitats, very high plant diversity supports high structural diversity, which underpins high animal diversity (Novotny et al. 2006). The structurally simple oil palm environment with very low non-palm plant diversity (largely restricted to herbaceous ground cover and epiphytic ferns e.g., Foster et al. 2011) may drive many specialised species extinct and favour more generalist and disturbance-tolerant species that occur at only low abundances in forest. This shift from habitat complexity to simplicity could explain the declines in frugivorous and insectivorous birds. These were the most species rich guilds in our analyses (insectivores: 107 species, frugivores: 35 species) and, thus might be expected to exhibit the greatest niche specialisation in forest (e.g., to avoid competition). The declines of these guilds following habitat conversion may be explained by this specialisation, and by the lack of suitable fruit-bearing trees and invertebrate-rich vegetation layers in the homogenous oil palm environment. Declines of large-bodied and higher trophic level species in oil palm may be explained by cascading bottom-up effects of reduced resource availability disproportionally affecting the species with greater energy requirements and lower population densities (e.g., Damuth 1981).
Our finding that abundant forest species decline most in oil palm does not agree with previous studies showing high vulnerability of rare species (e.g., McKinney 1997; Henle et al. 2004), but this is likely to be explained by two factors. Firstly, the scale at which rarity is defined is critical in explaining whether “rare” species are shown to be more or less vulnerable to extinction following habitat disturbances (McKinney 1997). For example, whilst you would expect high vulnerability of rare species defined by restricted geographic distributions or IUCN Red Listings, our definition of rare species as those with small local population sizes in forest may include geographically widespread, disturbance-associated taxa that occur at low abundances in forest. Indeed, this is supported by our results showing that bird species with smaller geographic ranges declined more in abundance following conversion of forest to oil palm.
Secondly, much of the earlier evidence on the vulnerability of rare species is from studies of forest disturbance and fragmentation (McKinney 1997; Henle et al. 2004), which compare the same habitats under varying levels of disturbance. By contrast, forest and oil palm are distinct habitats, and our results demonstrate that many relatively common forest species cannot persist in oil palm habitats.
We maximised the number of species in our analyses by including all species occurring more than once. However, when only forest species were included in analyses we still found declines of abundant forest species following conversion. Given that the majority of species declined in abundance following conversion, the slope of the relationship between population size and change in abundance is likely to be driven by those few species that increase in abundance in oil palm and so our findings do not preclude the loss of rare forest species, as well as the loss of more abundant forest species, in plantations. In oil palm, the small-bodied species from lower trophic levels, that tended to be locally rare in forest, but that dominated these agricultural sites were probably able to exploit the few crop-associated resources found in the plantations. Similarly, widespread and omnivorous bird species that are not reliant on a single food source were also more abundant in plantations (Gregory and Gaston 2000; Walker 2006).
Hyper-abundance of species on plantations
We observed a few species reaching very high abundances in oil palm sites in all three taxa (see supplementary material 1). For example, most insectivorous and frugivorous bird species declined in plantations, although some species, such as Macronous gularis (Striped Tit-babbler), Orthotomus sericeus (Rufous-tailed tailorbird), and Psittacula longicauda (Long-tailed parakeet) were highly abundant in oil palm plantations. Similar patterns have also been shown in butterflies (Lucey and Hill 2012), moths (Chey 2006), termites (Hassall et al. 2006), rats (Wood and Chung 2003, Bernard et al. 2009), and frugivorous bats (Danielsen and Heegaard 1995), whereby oil palm plantations typically support a small number of species that occur at much higher abundances than observed in forest habitats. For example, Lucey and Hill (2012) showed that plantations support just 54 % of forest species, yet overall butterfly abundance was >3.5 times higher in plantations than in forest. The same trends have also been observed following other land-use changes (e.g., Terborgh et al. 2001; Laurance et al. 2002; Feeley and Terborgh 2006; Gardner et al. 2007; Nichols et al. 2007). Oil palm monocultures can provide a hyper-abundance of just a few resources (e.g., palm fruit and palm fronds) that can be exploited by a few species, which can subsequently achieve very high abundances. However, the restricted range of resources present in plantations means that most resources required to support forest species are absent.
Our results illustrate substantial turnover of species with different ecological traits between forest and oil palm. Many of the traits considered are also functional traits (e.g., body size, feeding guild), implying inherent differences in the way that the forest and plantation systems function ecologically. Essential ecosystem functions in forest may not be important in oil palm plantations, either because they are replaced by plantation management practices, for example the addition of fertilisers in place of natural nutrient cycling, or because there is little requirement for them in monoculture plantations (e.g., seed dispersal). However, in plantations, there may still be risks associated with a reliance on a few numerically dominant species for ecosystem functioning, and more data are required on whether or not a few dominant species in oil palm plantations can compensate for the loss of many specialised forest species (e.g., Loreau et al. 2001; Foster et al. 2011; Peh and Lewis 2012).
Conclusions
Our results show that across three ecologically diverse taxonomic groups there were consistent patterns in the sensitivity of species to land-use change, and that species occurring in oil palm plantations were more likely to be small-bodied species, from lower trophic levels that are present at very low abundances in forest. All three taxonomic groups contained a few species that were hyper-abundant in oil palm, presumably because they could exploit the few highly abundant crop-associated resources present in plantations. Observed declines of large-bodied, higher trophic level, forest species may be a response to the low diversity of available resources in homogenous plantations. Consistent responses to land-use change among the three taxonomic groups in relation to species’ ecological traits imply that similar mechanistic drivers affect species’ responses to land-use conversion, and infer differences in ecosystem functioning between forest and oil palm habitats.
References
Aratrakorn S, Thunhikorn S, Donald PF (2006) Changes in bird communities following conversion of lowland forest to oil palm and rubber plantations in southern Thailand. Bird Conserv Int 16:71–82
Attwood SJ, Maron M, House APN, Zammit C (2008) Do arthropod assemblages display globally consistent responses to intensified agricultural land use and management? Glob Ecol Biogeogr 17:585–599
Bernard H, Fjeldså J, Mohamed M (2009) A case study on the effects of disturbance and conversion of tropical lowland rain forest on the non-volant small mammals in north Borneo: management implications. Mamm Study 34:85–96
Berry NJ, Phillips OL, Lewis SL, Hill JK, Edwards DP, Tawatao NB, Ahmad N, Magintan D, Khen CV, Maryati M, Ong RC, Hamer KC (2010) The high value of logged tropical forests: lessons from northern Borneo. Biodivers Conserv 19:985–997
Birdlife International (2011) Species factsheets. Birdlife International, Cambridge. http://www.birdlife.org. Accessed Dec 2010
Blüthgen N, Gebauer G, Fiedler K (2003) Disentangling a rainforest food web using stable isotopes: dietary diversity in a species-rich ant community. Oecologia 137:426–435
Bolton B, Alpert G, Ward PS, Nasrecki P (2006) Bolton’s catalogue of ants of the world. Harvard University Press, Cambridge
Bouchard P, Bousquet Y, Davies AE, Alonso-Zarazaga MA, Lawrence JF, Lyal CHC, Newton AF, Reid CAM, Schmitt M, Slipiński SA, Smith ABT (2011) Family-group names in Coleoptera (Insecta). Zookeys 88:1–972
Brühl CA, Eltz T (2010) Fuelling the biodiversity crisis: species loss of ground-dwelling forest ants in oil palm plantations in Sabah, Malaysia (Borneo). Biodivers Conserv 19:519–529
Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer-Verlag, New York
Butler RA, Laurance WF (2009) Is oil palm the next emerging threat to the Amazon? Trop Conserv Sci 2:1–10
Chey VK (2006) Impacts of forest conversion on biodiversity as indicated by moths. Malay Nat J 57:383–418
Chung AYC, Eggleton P, Speight MR, Hammond PM, Chey VK (2000) The diversity of beetle assemblages in different habitat types in Sabah, Malaysia. Bull Entomol Res 90:475–496
Cleary DFR, Boyle TJB, Setyawati T, Anggraeni CD, Loon EEV, Menken SBJ (2007) Bird species and traits associated with logged and unlogged forest in Borneo. Ecol Appl 17:1184–1197
Damuth J (1981) Population density and body size in mammals. Nature 290:699–700
Danielsen F, Heegaard M (1995) Impact of logging and plantation development on species diversity: a case study from Sumatra. In: Sandbukt O (ed) Management of tropical forests: towards an integrated perspective. University of Oslo—Centre for Development and the Environment, Oslo
Danielsen F, Beukema H, Burgess ND, Parish F, Bruhl CA, Donald PF, Murdiyarso D, Phalan B, Reijnders L, Struebig M, Fitzherbert EB (2009) Biofuel plantations on forested lands: double jeopardy for biodiversity and climate. Conserv Biol 23:348–358
De Bello F, Lavorel S, Díaz S, Harrington R, Cornelissen J, Bardgett R, Berg M, Cipriotti P, Feld C, Hering D, Martins Da Silva P, Potts S, Sandin L, Sousa J, Storkey J, Wardle D, Harrison P (2010) Towards an assessment of multiple ecosystem processes and services via functional traits. Biodivers Conserv 19:2873–2893
Dunning JB Jr. (2009) CRC handbook of avian body masses, 2nd edn. Taylor & Francis, Boca Raton
Edwards DP, Larsen TH, Docherty TDS, Ansell F, Hsu A, Derhé MA, Hamer KC, Wilcove DS (2011) Degraded lands worth protecting: the biological importance of Southeast Asia’s repeatedly logged forests. Proc R Soc Lond B 278:82–90
Faraway JJ (2006) Extending the linear model with R. CRC Press, Boca Raton
Fayle TM, Turner EC, Snaddon JL, Chey VK, Chung AYC, Eggleton P, Foster WA (2010) Oil palm expansion into rain forest greatly reduces ant biodiversity in canopy, epiphytes and leaf-litter. Basic Appl Ecol 11:337–345
Fazey I, Fischer J, Lindenmayer DB (2005) What do conservation biologists publish? Biol Conserv 124:63–73
Feeley KJ, Terborgh JW (2006) Habitat fragmentation and effects of herbivore (Howler Monkey) abundances on bird species richness. Ecology 87:144–150
Fitzherbert EB, Struebig MJ, Morel A, Danielsen F, Bruhl CA, Donald PF, Phalan B (2008) How will oil palm expansion affect biodiversity? Trends Ecol Evol 23:538–545
Foster WA, Snaddon JL, Turner EC, Fayle TM, Cockerill TD, Ellwood MDF, Broad GR, Chung AYC, Eggleton P, Khen CV, Yusah KM (2011) Establishing the evidence base for maintaining biodiversity and ecosystem function in the oil palm landscapes of South East Asia. Philos Trans R Soc B 366:3277–3291
Freckleton RP, Harvey PH, Pagel M (2002) Phylogenetic analysis and comparative data: a test and review of evidence. Am Nat 160:712–726
Gardner TA, Ribeiro-Junior MA, Barlow J, Avila-Pires TCS, Hoogmoed MS, Peres CA (2007) The value of primary, secondary, and plantation forests for a neotropical herpetofauna. Conserv Biol 21:775–787
Gibb H, Cunningham SA (2011) Habitat contrasts reveal a shift in the trophic position of ant assemblages. J Anim Ecol 80:119–127
Gray MA, Baldauf SL, Mayhew PJ, Hill JK (2007) The response of avian feeding guilds to tropical forest disturbance. Conserv Biol 21:133–141
Gregory RD, Gaston KJ (2000) Explanations of commonness and rarity in British breeding birds: separating resource use and resource availability. Oikos 88:515–526
Grueber CE, Nakagawa S, Laws RJ, Jamieson IG (2011) Multimodel inference in ecology and evolution: challenges and solutions. J Evol Biol 24:699–711
Hassall M, Jones DT, Taiti S, Latipi Z, Sutton SL, Mohammed M (2006) Biodiversity and abundance of terrestrial isopods along a gradient of disturbance in Sabah, East Malaysia. Eur J Soil Biol 42:S197–S207
Henle K, Davies KF, Kleyer M, Margules CR, Settele J (2004) Predictors of species sensitivity to fragmentation. Biodivers Conserv 13:207–251
Hooper DU, Chapin FS, Ewel JJ, Hector A, Inchausti P, Lavorel S, Lawton JH, Lodge DM, Loreau M, Naeem S, Schmid B, Setälä H, Symstad AJ, Vandermeer J, Wardle DA (2005) Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecol Monogr 75:3–35
Hunt T, Bergsten J, Levkanicova Z, Papadopoulou A, John OS, Wild R, Hammond PM, Ahrens D, Balke M, Caterino MS, Gómez-Zurita J, Ribera I, Barraclough TG, Bocakova M, Bocak L, Vogler AP (2007) A comprehensive phylogeny of beetles reveals the evolutionary origins of a superradiation. Science 318:1913–1916
Jeyarajasingam A, Pearson A (1999) A field guide to the birds of West Malaysia and Singapore. Oxford University Press, Oxford
Kareiva P (1987) Habitat fragmentation and the stability of predator ± prey interactions. Nature 326:388–390
Kissinger G, Herold M, De Sy V (2012) Drivers of deforestation and forest degradation: a synthesis report for REDD + policymakers. Lexeme Consulting, Vancouver
Lambert FR (1992) The consequences of selective logging for Bornean lowland forest birds. Philos Trans R Soc B 335:443–457
Larsen TH, Williams NM, Kremen C (2005) Extinction order and altered community structure rapidly disrupt ecosystem functioning. Ecol Lett 8:538–547
Laurance WF, Lovejoy TE, Vasconcelos HL, Bruna EM, Didham RK, Stouffer PC, Gascon C, Bierregaard RO, Laurance SG, Sampaio E (2002) Ecosystem decay of Amazonian forest fragments: a 22-year investigation. Conserv Biol 16:605–618
Laurance WF, Koh LP, Butler R, Sodhi NS, Bradshaw CJA, Neidel JD, Consunji H, Vega JM (2010) Improving the performance of the roundtable on sustainable palm oil for nature conservation. Conserv Biol 24:377–381
Lavorel S, Garnier E (2002) Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail. Funct Ecol 16:545–556
Layman CA, Arrington DA, Montaña CG, Post DM (2007) Can stable isotope ratios provide for community-wide measures of trophic structure? Ecology 88:42–48
Lewis OT (2009) Biodiversity change and ecosystem function in tropical forests. Basic Appl Ecol 10:97–102
Loreau M, Naeem S, Inchausti P, Bengtsson J, Grime JP, Hector A, Hooper DU, Huston MA, Raffaelli D, Schmid B, Tilman D, Wardle DA (2001) Biodiversity and ecosystem functioning: current knowledge and future challenges. Science 294:804–808
Lucey JM, Hill JK (2012) Spillover of insects from rain forest into adjacent oil palm plantations. Biotropica 44:368–377
Mackinnon JR, Phillipps K (1999) A field guide to the birds of Borneo, Sumatra, Java and Bali, 5th edn. Oxford University Press, Oxford
Mazerolle MJ (2006) Improving data analysis in herpetology: using Akaike’s information criterion (AIC) to assess the strength of biological hypotheses. Amphib-reptil 27:169–180
McGill BJ, Enquist BJ, Weiher E, Westoby M (2006) Rebuilding community ecology from functional traits. Trends Ecol Evol 21:178–185
Mckinney ML (1997) Extinction vulnerability and selectivity: combining ecological and paleontological views. Annu Rev Ecol Syst 28:495–516
Moran C, Catterall CP, Kanowski J (2009) Reduced dispersal of native plant species as a consequence of the reduced abundance of frugivore species in fragmented rainforest. Biol Conserv 142:541–552
Morris RJ (2010) Anthropogenic impacts on tropical forest biodiversity: a network structure and ecosystem functioning perspective. Philos Trans R Soc B 365:3709–3718
Nichols E, Larsen TB, Spector S, Davis ALV, Escobar F, Favila M, Vulinec K, Network TSR (2007) Global dung beetle response to tropical forest modification and fragmentation: a quantitative literature review and meta-analysis. Biol Conserv 137:1–19
Novotny V, Drozd P, Miller SE, Kulfan M, Janda M, Basset Y, Weiblen GD (2006) Why are there so many species of herbivorous insects in tropical rainforests? Science 313:1115–1118
Pagel M (1999) Inferring the historical patterns of biological evolution. Nature 401:877–884
Peh KS-H, Lewis SL (2012) Conservation implications of recent advances in biodiversity-functioning research. Biol Conserv 151:26–31
Peh KS-H, Sodhi NS, De Jong J, Sekercioglu CH, Yap CA-M, Lim SL-H (2006) Conservation value of degraded habitats for forest birds in southern Peninsular Malaysia. Divers Distrib 12:572–581
Petchey OL, Gaston KJ (2002) Functional diversity (FD), species richness and community composition. Ecol Lett 5:402–411
Phillipps Q, Phillipps K (2009) Phillipp’s field guide to the birds of Borneo, 1st edn. John Beaufoy Publishing Ltd., Oxford
Post DM (2002) Using stable isotopes to estimate trophic position: models, methods and assumptions. Ecology 83:703–718
Schielzeth H (2010) Simple means to improve the interpretability of regression coefficients. Methods Ecol Evol 1:103–113
Sheldon FH, Styring A, Hosner PA (2010) Bird species richness in an exotic tree plantation: a long term perspective. Biol Conserv 143:399–407
Sibley CG, Ahlquist JE (1990) Phylogeny and classification of birds: a study in molecular evolution. Yale University Press, New Haven
Sibley CG, Monroe BL (1990) Distribution and taxonomy of birds of the world. Yale University Press, New Haven
Sodhi NS, Koh LP, Clements R, Wanger TC, Hill JK, Hamer KC, Clough Y, Tscharntke T, Posa MRC, Lee TM (2010) Conserving Southeast Asian forest biodiversity in human-modified landscapes. Biol Conserv 143:2375–2384
Terborgh J (1974) Preservation of natural diversity: the problem of extinction prone species. Bioscience 24:715–722
Terborgh J, Lopez L, Nuñez P, Rao M, Shahabuddin G, Orihuela G, Riveros M, Ascanio R, Adler GH, Lambert TD, Balbas L (2001) Ecological meltdown in predator-free forest fragments. Science 294:1923–1926
Turner EC, Foster WA (2009) The impact of forest conversion to oil palm on arthropod abundance and biomass in Sabah. Malays J Trop Ecol 25:23–30
Vanderklift MA, Ponsard S (2003) Sources of variation in consumer-diet δ15N enrichment: a meta-analysis. Oecologia 136:169–182
Velho N, Ratnam J, Srinivasan U, Sankaran M (2012) Shifts in community structure of tropical trees and avian frugivores in forest recovering from past logging. Biol Conserv 153:32–40
Walker JS (2006) Resource use and rarity among frugivorous birds in a tropical rain forest on Sulawesi. Biol Conserv 130:60–69
Wilcove DS, Koh LP (2010) Addressing the threats to biodiversity from oil palm agriculture. Biodivers Conserv 19:999–1007
Williams NM, Crone EE, Roulston TH, Minckley RL, Packer L, Potts SG (2010) Ecological and life-history traits predict bee responses to environmental disturbances. Biol Conserv 143:2280–2291
Wong M (1986) Trophic organization of understory birds in a Malaysian Dipterocarp forest. Auk 103:100–116
Wood BJ, Chung GF (2003) A critical review of the development of rat control in Malaysian agriculture since the 1960s. Crop Prot 22:445–461
Woodcock P (2011) The species composition and trophic structure of ant assemblages in primary and degraded rainforest in Sabah, Borneo. Unpublished PhD dissertation, University of Leeds, UK
Woodcock P, Edwards DP, Fayle TM, Newton RJ, Khen CV, Bottrell SH, Hamer KC (2011) The conservation value of South East Asia’s highly degraded forests: evidence from leaf-litter ants. Philos Trans R Soc B 366:3256–3264
Woodcock P, Edwards D, Newton R, Edwards F, Khen C, Bottrell SH, Hamer KC (2012) Assessing trophic position from nitrogen isotope ratios: effective calibration against spatially varying baselines. Naturwissenschaften 99:275–283
Acknowledgments
Special thanks go to Arthur Chung for providing his data for analyses, to Calvin Dytham and Olivier Missa for statistical advice, NERC and Proforest for funding, Noel Tawatao for providing accumulated body mass data from antweb.org, Martin Speight for providing Arthur Chung’s PhD thesis, Callum Lawson for discussing the manuscript, and Jake Snaddon and Toby Gardner for comments on earlier versions of the manuscript. TMF was funded by the project Biodiversity of forest ecosystems CZ.1.07/2.3.00/20.0064 co-financed by the European Social Fund and the state budget of the Czech Republic, and by Yayasan Sime Darby.
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Senior, M.J.M., Hamer, K.C., Bottrell, S. et al. Trait-dependent declines of species following conversion of rain forest to oil palm plantations. Biodivers Conserv 22, 253–268 (2013). https://doi.org/10.1007/s10531-012-0419-7
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DOI: https://doi.org/10.1007/s10531-012-0419-7