Abstract
Fern species are an important component of the diversity of forest plant communities, but very little is known about how fern communities assemble in different environments. In this study, we use multiple trait-based tests to examine the relationships between several key eco-physiological traits which are direct indicators of shade and drought tolerance, and the abundance of fern species in pine forest (PF), pine and mixed broad leaf forest (PMBF) and matured broad leaf forest (MBF) in southern China. These forests are characterized by decreasing light but increasing water availability during succession, and the fern communities correspondingly differ in species composition. We tested community assembly using functional trait distributions and found that habitat filtering and exclusion of weak competitive traits among coexisting species jointly explain fern shade tolerance as measured by photosynthetic capacity (PR), photosynthetic nutrient efficiency (PNUE and PPUE) and water use efficiency as measured by carbon isotope ratio (CIR), and constitute important determinants of fern community assembly in all three forests. These observed fern plant strategies are consistent with known responses of other plant taxa such as flowering plants in similar successional environments and illustrate the value of functional trait based analyses to study community assembly.
Similar content being viewed by others
Introduction
Identifying the mechanisms generating changes in species abundances in space and time is a central question in ecology1. In forests ecosystems, this is a question of practice as well as theoretical relevance, on account of swiftly advancing deforestation and predicted climate change2. The recent focus has been on using plant functional trait distributions3, among species to identify the mechanisms that determine species distributions and abundance in relation to the environment and biotic interactions. Since functional traits capture important aspects of species’ morphology, physiology, and life strategies, they reveal attributes such as abiotic tolerance and competitive ability that can determine plant fitness at a given site1.
In particular, trait dispersion patterns among species within communities have been used to draw inferences on two fundamental processes that determine plant species abundance at a site4, 5. Deterministic processes involve the role of habitat filtering, which selects for optimal trait values that confer appropriate abiotic physiological tolerance to a site, and thus lead to a convergence in trait distributions among species4, 6, 7. Deterministic effects may also entail strong competitive interactions among similar species, and may thus select for dissimilar trait values leading to divergence in trait distribution patterns8, 9. However, competitive interactions may also lead to trait convergence among species if traits that confer weak competitive ability were eliminated and only competitively equivalent species remain10,11,12. Stochastic processes invoke ecological drift as the main factor that determines species abundances, where trait differences are uncorrelated with species abundances and species are considered ecologically equivalent13, 14. Such species may coexist for long periods of time but are not expected to show significant convergence or divergence in functional trait dispersion patterns. Although such trait dispersion patterns have been widely used to infer the importance of deterministic and stochastic effects on plant species abundance, the confounding influences of abiotic and biotic trait convergence need to be resolved.
Our understanding of environmental and biotic control on plant species abundance has mostly come from studies on seed producing plants. However, comparisons across taxa are essential for identifying generalities on the importance of deterministic versus stochastic processes in structuring forest plant communities15. Our approach in this study here is to test how these two classes of processes affect a distinct group of understory plants, the ferns, which are different in their life-form and biology compared to the seed plants15. The influence of ferns on tree community dynamics is not well understood, but fern species can both inhibit and facilitate the establishment of seed plants. Fern species stands can facilitate the establishment of seed plants by slowing soil erosion and by providing establishment sites on their trunks for seed germination16, 17. Fern species can also inhibit establishment or growth of seed plants through altering light and soil nutrients due to competition for nutrients18 or light19. Although fern species represent a conspicuous fraction of tropical, temperate and cool wet forests20, to date, few studies have focused on this biological component20,21,22,23, compared to angiosperm tree species. Furthermore, our knowledge on deterministic and stochastic effects on tree communities may not be directly applicable to ferns, as the latter present two independent life phases: a tiny and relatively simple gametophyte and a well-developed, conspicuous sporophyte with different biotic and abiotic filters and ecological determinants of their performance24.
In this study, we test the effects of deterministic and stochastic processes on fern species community assembly in three types of forests: a Pine forest (PF), a Pine and Mixed Broadleaf Forest (PMBF) and a Mature Broadleaf Forest (MBF) in southern China. The PF and PMBF are successional stages of the MBF, and these stages are characterized by decreasing light but increasing water availability through succession. Given these strong differences between light and water availability in the forest understory, we expect to see very few fern species shared among these forest types. Our goals here are: i) to test whether traits that determine photosynthetic rate and drought tolerance influence species abundance in these successional communities; and ii) to quantify the roles of deterministic and stochastic effects on community assembly. We consider four key eco-physiological traits that capture fern shade-tolerance or photosynthetic capacity as well as drought stress tolerance. We therefore measured photosynthesis rate (PR), photosynthetic nitrogen use efficiency (PNUE), photosynthetic phosphorus use efficiency (PPUE), and water use efficiency, measured as carbon isotope ratio (CIR) (δ13C) of leaves. The selection of these four traits is based on the observations of decreased light but increased water availability in the understory environment from PF to MBF forest25, 26, which is expected to influence the physiology and function of fern species22, 27,28,29,30,31. We hypothesize that 1) abundant fern species in early successional communities tend to have high photosynthetic capacity (high PR) and high photosynthetic nutrient efficiency (high PPUE and PNUE), but may therefore suffer lower long-term water use efficiency, whereas the dominant fern species in late successional communities would have low photosynthetic capacity (low PR), low photosynthetic nutrient efficiency (low PPUE and PNUE) and high long-term water use efficiency, and 2) that the strong environmental effects of light and water availability would lead to trait convergence due to habitat filtering in all four traits.
Materials and Methods
Study site
Our study site is the species-rich sub-tropical forest located in Dinghushan Natural Forest Reserve (23°09′N, 112°33′E), Guangdong Province, southern China. The forest covers an area of 1,156 ha, with an elevation range from 14 m to 1000 m above sea level. The area is characterized by a typical sub-tropical monsoon climate with a mean annual air temperature of 21.4 °C, and mean annual precipitation of 1,956 mm with a bimodal distribution pattern between April-September and October-March. The average relative humidity is about 80%. The three forests, Pine forest (PF), pine and broadleaf mixed forest (PBMF), and monsoon evergreen broadleaf forest (MEBF) represent early-, mid- and late- successional stages, respectively, of the typical monsoon evergreen broadleaf forests in Dinghushan. The PF forest, which is approximately 22 ha in area and occupies the periphery of the reserve was initially planted in 1950s with a single pine species, Pinus massoniana (D. Don), The PMBF forest, which is approximately 557 ha in area and had developed from an earlier established PF forest is located between the central area and periphery of the reserve. The MBF forest, approximately 218 ha in area is located in the central part of the reserve. The characteristics of the experimental sites are shown in Table 1.
Measurement of species composition and abundance of ferns
We tallied all fern species in each forest type and compared the species composition. Species abundance can be measured by the number of individuals, or by biomass or resource use32. In this analysis, we chose biomass because it was the appropriate measure for scaling from plant traits to community assembly processes33, 34. Twenty 10 × 10 m2 quadrats were regularly arranged in six parallel transects, with 20 m intervals between adjacent quadrats. In each quadrat, the aboveground parts for each fern species were clipped and taken to the laboratory, where samples were oven-dried at 100 °C for 2 days and then weighed to determine the aboveground biomass for each species to estimate species abundance. Species abundance for fern species at each successional stage was quantified as the total above ground biomass of each species found in the twenty 10 × 10 m2 quadrats.
Collection of functional traits
We quantified plant shade-tolerance via photosynthesis rate, photosynthetic nitrogen and phosphorus efficiency. We also quantified leaf carbon isotope ratio, which was closely related to plant long-term water use efficiency. Importantly, we measured traits of the same fern species in each successional forest separately to ensure that intra-specific variation was appropriately incorporated into our analyses.
Leaf nutrient and phosphorus concentration
We collected 40 fully expanded sun-exposed leaves each individual and oven dried them for 72 h at 70 °C to determine their dry weight. The dried leaves were then ground and homogenized for subsequent analyses. Leaf chemical analysis was conducted in the Public Laboratory of South China Botanical Garden. Total nitrogen concentration (N) was determined by Kjeldhal analysis and total phosphorus concentration (P) using atomic absorption spectrophotometry.
Photosynthesis rate, photosynthetic nitrogen and phosphorus use efficiency
Maximum photosynthetic rate (PR) was measured between 9:00–12:00 with a portable photosynthesis system (Li-6400, LiCor, Lincoln, Nebraska, USA). The PPFD was set at 1000 μmol m−2 s−1 to ensure that light-saturated photosynthetic rates were measured for all species selected in this study (Zhang et al., unpublished data). Ambient CO2 concentration and air temperature were maintained at 390 μmol mol−1 and 28 °C, respectively. Ten individual plants for each fern species were randomly selected and at least 10 leaves of each species were used for the photosynthetic measurements. Photosynthetic nitrogen use efficiency (PNUE) and photosynthetic phosphorus use efficiency (PPUE) are defined as the ratio of PR to leaf N content and P content respectively.
Leaf carbon isotope ratio
Carbon isotope ratio (CIR), calculated as δ13C (per mil), can be used to estimate long-term water-use efficiency of leaves in natural vegetation26. The CIR was measured with an elemental analyzer (Flash EA 1112, Thermo Electron Corporation, Waltham, MA, USA) interfaced to an isotope ratio mass spectrometer (Thermo Finnigan MAT DELTAplusXP, Thermo Electron Corporation, MA, USA) at the Institute of Desertification Studies, Chinese Academy of Forestry (Beijing, China).
Statistical methods
Species abundance versus trait relationships along succession
We log-transformed all measured functional traits and the values of species abundance to normalize the data. Then we performed parametric (Pearson’s) correlation analyses of the relationships between functional traits and fern species abundance in the three forests.
Trait dispersion patterns and community assembly
We analyzed observed trait dispersion patterns by comparing the observed functional diversity (FD) with the FD of null communities derived using two approaches, (i) where randomizations of abundance and trait values were carried out within each forest type, and (ii) where randomizations were carried out by drawing species and trait values across all forest types (the species pool). Using this combination of approaches, we could resolve the confounding effects of habitat filtering and exclusion of weak competitive traits (see the Introduction section above) on any observed trait convergence patterns within communities.
-
(i)
Randomization tests within each forest type: Functional diversity of communities was analyzed for each trait separately. To obtain functional diversity we computed the mean pair distance (MPD), which is the mean dissimilarity among all possible pairs of species within a community, weighted by species abundances35. Although other functional diversity indices are available, we chose MPD because the selected traits (PR, PNUE, PPUE and CIR) are recognized to represent orthogonal axes of plant strategies36, 37 and this FD measure is also relatively independent of species richness38. We used the “MPD” function implemented in the ‘picante’ library (http://cc.oulu.fi/?jarioksa/softhelp/picante.html) in the R software (R Development Core Team 2017) to calculate FD for PR, PNUE, PPUE and CIR.
We checked for significant convergence or divergence in FD with respect to an ensemble of null communities, which was based on the expectation that species and trait values were randomly distributed within each forest community. Randomization tests were applied to calculate “null” distributions of both species composition (i.e., on the species × quadrat matrix) and functional diversity39. For this method, we used the “randomizeMatrix” function implemented in the ‘picante’ library (http://cc.oulu.fi/?jarioksa/softhelp/picante.html) in the R software (R Development Core Team 2017). Reshuffling the species × quadrat matrices was done with three constraints, i.e. while keeping 1) the same number of species (species richness) per plot in the permuted and observed data, 2) the same number of total species occurrences per region (i.e. number of plots where the species occur in a region), and 3) the total abundance of species in a region constant (i.e., the sum of the number of quadrats occupied in all plots). We therefore compared the observed FD (FDcom) within communities to the FD simulated in 1000 randomly assembled communities (FDnull), using the standard effect size index (SES)40:
$${\rm{SES}}=\frac{{\rm{FDcom}}-{\rm{FDnull}}}{{\rm{FDsd}}}$$(1)Here FDsd represents the standard deviation of FD generated from null communities. Values of SES > 0 suggest the prevalence of trait divergence, while SES < 0 suggests trait convergence, and SES ~ 0 suggests the prevalence of random trait distributions. Since this randomization involves only species from within the community, the observed trait convergence must result from both habitat filtering and exclusion of weak competitive traits, while trait divergence must primarily reflect exclusion of similar species.
-
(ii)
Randomization using the species pool: deBello et al. 38 proposed an operational framework in which the FD within communities (FDcom) is compared to the corresponding FD for a given species pool (FDpool)38, where both measures are standardized by the number of the species in the community. FDpool includes the set of species that could potentially occupy a site in the absence of environmental and dispersal limitation filters. By comparing these FD patterns one can therefore infer biotic processes, i.e., trait divergence (FDcom/FDpool > 1) indicating strong niche differentiation or facilitation induced trait dissimilarity, trait convergence (FDcom/FDpool < 1) indicating exclusion of weak competitive traits causing increased trait similarity among coexisting species, and finally random community assembly (FDcom/FDpool ~ 1). We defined the species pool as all species that occur in all of the sixty 10 × 10 m2 sampling quadrats in the three successional forest types. The MPD for each functional trait (PR, PNUE, PPUE and CIR) of all species found in all of the three successional forest communities was calculated to represent FDpool for each trait. Then FDcom for each functional trait (MPD) was also calculated for each successional forest community separately, and the values of the FDcom/FDpool ratio were compared.
Results
We recorded the highest species richness of 7 fern species in Mature Broadleaf Forest and Pine Mixed Broadleaf Forest, with marginally lower species numbers of 5 fern species in Pine Forest. The species list and growth form of each species are given in the Table 2. We found that very few species were shared among the three forest types, with only 2 species shared between PF and PMBF, no species shared between PF and MBF, and 2 species shared between PMBF and MBF. Therefore, no fern species were common to all three forests.
We found statistically significant positive correlations between species abundance and traits for PR, PNUE and PPUE, but significant negative correlations between abundance and trait values for CIR of fern species in PF and PMBF forest (Fig. 1). In contrast, abundance of fern species in MBF were significantly negatively related to PR, PNUE and PPUE, but significantly positively related to CIR (Fig. 1).
We tested FD patterns for the four traits (PR, PPUE, PNUE and CIR) to detect convergence or divergence against expectations derived from a null model with no abiotic or biotic effects. We found evidence for significant trait convergence (SES < 0) in FD for all four traits, PR, PNUE, PPUE and CIR, in all three forests (Fig. 2). Furthermore, there was no trend in the values of SES from early to late successional communities for any of the four traits we studied (Fig. 2).
Finally, we compared the observed FD with the FD of the species pool, the latter being indicative of expected FD if habitat filtering and dispersal limitation was already accounted for, and trait dispersion would only be due to biotic interactions (exclusion of weak competitive traits, or strong competitors or facilitation). We found evidence for exclusion of weak competitive traits, with FDcom/FDpool ratios being less than 1 for PR, PNUE, PPUE and CIR in all three successional communities (Fig. 3). We did not find any consistent trends in the FDcom/FDpool ratios for any of the traits except for PPUE, where the MBF showed strong convergence (Fig. 3).
Discussion
We found directional shifts in the relationships between fern species abundance and four functional traits (PR, PNUE, PPUE and CIR) along the light and water gradient that is present in three successional forests. As we hypothesized, high light, but low water availability in early successional stages allow species with high photosynthetic capacity (high PR) and high photosynthetic nutrient efficiency (high PPUE and PNUE), but low long-term water use efficiency (high CIR) to dominate. By contrast, low light, but high water availability drive late successional communities to be dominated by species having low photosynthetic capacity (low PR), low photosynthetic nutrient efficiency (low PPUE and PNUE) and high long-term water use efficiency (low CIR). Our results demonstrate that deterministic processes (habitat filtering and exclusion of weak competitors) have a dominant role in fern community assembly in all three forests, with a presumably small influence of stochastic processes.
The relationships between functional traits (PR, PNUE, PPUE and CIR) and abundance of fern species along light and water gradient
Photosynthetic rate affects a plant’s energy balance and a high rate is typically linked to a fast growth rate27, 41. Early colonizers are most likely fast-growing species requiring high photosynthetic capacity and nutrient use efficiency that might be responsible for their quick colonization42, 43. Our results show significant positive correlations between abundance and energy/resource acquisition traits (PR, PNUE and PPUE) in PF and PMBF (Fig. 1), consistent with the well-known pattern that species that are abundant in early successional forests are fast growing, a strategy that would help in colonizing new habitats42,43,44,45. At more advanced stages of succession, the amount of light reaching the ground is expected to decline. Fern species in PF and PMBF forests most likely experience higher light levels than those found in the MBF forest on account of the lower canopy height and cover (Table 1). Expectedly, resource competition and the need for greater investment in plant defense would not favor fast-growth strategies in late successional communities3. We found in this study a significant shift in the relationship between traits (PR, PNUE and PPUE) and fern species abundance from positive (in PF and PMBF) to negative (MBF) (Figs 1 and S1), indicating the shift in fern species growth strategies during succession3.
Drought stress, indicated by a decrease in the number of rainy days and diminished soil water content has been implicated in the directional changes in species composition and community structure in this subtropical forest46. Fern species in PF and PMBF forests arguably experience a consistently drier environment than those found in MBF forest on account of higher temperatures and lower soil water content (Table 1), thereby selecting for drought stress tolerance in early successional ferns. Leaf carbon isotope ratio can reflect this plant drought stress tolerance, and indeed, we found statistically negative correlations between abundance and CIR of fern species in PF and PMBF forest (Fig. 1). From a physiological standpoint, higher photosynthetic rates are generally associated with lower water use efficiency (WUE) due to higher stomatal conductance and the resultant higher transpiration rates30, 31. This inevitable tradeoff between photosynthesis and WUE imposes greater water stress in an already water-stressed early-successional environment. Therefore, drought tolerance is likely to be strongly selected in fern species of early successional forests, and our results are consistent with these observations on plant strategies.
In late successional habitats such as the MBF, which have relatively higher soil water content, WUE may not be under strong selection. Although late successional fern species may display higher long-term water use efficiency, this is likely due to lower photosynthesis rates, rather than any selection for WUE. Indeed, we did find that the correlation of fern abundance versus CIR shifted from significantly negative in PF and PMBF to significantly positive correlation in MBF (Fig. 1). Although drought stress tolerance and plant successional status has been widely studied in woody seed plants, the mechanisms largely pertain to stem hydraulic conductance28,29,30,31 and are therefore not relevant to drought tolerance in fern species. That is because fern species are mostly herbaceous or do not possess the elaborate vasculature of seed plants in case of tree forms. However it is important to note that since our assessment of fern drought tolerance is based on a leaf CIR, our inference on the role of photosynthesis in influencing WUE of fern is limited and deserves further investigation. Importantly, our results clearly show that fern species differ strongly in their responses to different light and water environment and are not ecologically equivalent3. Our findings also highlight the use of eco-physiological traits in differentiating the relative contributions of stochastic (ecological equivalence) and deterministic processes (niche differentiation) to community assembly in successional environments.
Trait dispersion patterns of fern communities along light and water gradients
Strong convergence or divergence in functional trait diversity compared to expectations from given null models have been widely employed to study species coexistence4, 7, 47,48,49,50. It is argued that convergence or divergence in functional diversity arise mainly due to habitat filtering and strong competitive exclusion, respectively. Our results show strong convergence (SES < 0) in all of the four traits (PR, PNUE, PPUE and CIR) in PF, PMBF and MBF forests (Fig. 2), highlighting the important roles of habitat filtering in determining these four traits. However, it is important to note that38 comparable trait convergence patterns can also be obtained due to exclusion of weak competitive traits38. We resolved these separate contributions by comparing the differences between the observed FD (FDcom) and that generated from species pool (FDpool) and found evidence for the exclusion of weak competitive traits that caused the FDcom/FDpool ratio to show values that were consistently less than 1 in all three types of forest (Fig. 3). Together, the results from comparing FD patterns using SES and FDcom/FDpool ratios suggest that both habitat filtering and exclusion of weak competitive traits contribute to the observed strong trait convergence in PR, PNUE, PPUE and CIR in all three forests.
Observations on species distributions had already shown that the abundant fern species in early the successional pine forest do not survive in the late successional mature broad leave forest community. Our results shed light on the plant strategies with respect to resource acquisition and nutrient use efficiency that mediate these distributional patterns of fern species in these three forests12.
Conclusions
Habitat filtering and competitive interactions jointly explain shifts in fern species strategies from higher photosynthetic capacity, greater photosynthetic nutrient use efficiency, but lower water use efficiency in a early successional forest to lower photosynthetic capacity and nutrient use efficiency, but higher water use efficiency in the late successional broadleaf forest. These responses could be due to decreasing light availability and decreasing drought stress with succession, but other biophysical factors could also play important roles. These observed plant strategies are consistent with the expected changes in the biophysical environment during succession, and are also consistent with responses known from other plant taxa, primarily flowering plants. These findings indicate that similar selective forces shape comparable plant strategies across different plant groups. Further, our integrated methods offer a promising approach to resolve confounding contributions of some deterministic processes (habitat filtering and biotic interactions), but more broadly the relative importance of deterministic and stochastic processes on plant community assembly.
References
McGill, B. J., Enquist, B. J., Weiher, E. & Westoby, M. Rebuilding community ecology from functional traits. Trends in Ecology & Evolution 21, 178–185 (2006).
IPCC. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge (2007).
Grubb, P. J. The maintenance of species-richness in plant communities: the importance of the regeneration niche. Biological reviews 52, 107–145 (1977).
Kraft, N. J. & Ackerly, D. D. Functional trait and phylogenetic tests of community assembly across spatial scales in an Amazonian forest. Ecological Monographs 80, 401–422 (2010).
Tilman, D., Kilham, S. S. & Kilham, P. Phytoplankton community ecology: the role of limiting nutrients. Annual review of Ecology and Systematics 22, 349–372 (1982).
Zhang, H. et al. Using functional trait diversity to evaluate the contribution of multiple ecological processes to community assembly during succession. Ecography 38, 1–11 (2015).
Barot, S. B. Mechanisms promoting plant coexistence: can all the proposed processes be reconciled? Oikos 106, 185–192 (2004).
Kraft, N. J., Valencia, R. & Ackerly, D. D. Functional traits and niche-based tree community assembly in an Amazonian forest. Science 322, 580–582 (2008).
Adler, P. B., Ellner, S. P. & Levine, J. M. Coexistence of perennial plants: an embarrassment of niches. Ecology Letters 13, 1019–1029 (2010).
Cornwell, W. K. & Ackerly, D. D. Community assembly and shifts in plant trait distributions across an environmental gradient in coastal California. Ecological Monographs 79, 109–126 (2009).
Armesto, J. & Pickett, S. Experiments on disturbance in old-field plant communities: impact on species richness and abundance. Ecology 2, 230–240 (1985).
Grime, J. P. Trait convergence and trait divergence in herbaceous plant communities: mechanisms and consequences. Journal of Vegetation Science 17, 255–260 (2006).
Mayfield, M. M. & Levine, J. M. Opposing effects of competitive exclusion on the phylogenetic structure of communities. Ecology Letters 13, 1085–1093 (2010).
Bell, G. The distribution of abundance in neutral communities. American Naturalist 155, 606–617 (2000).
Hubbell, S. P. The unified neutral theory of biodiversity and biogeography (MPB-32) 32 (Princeton University Press: The USA, 2001).
Jones, M. M. et al. Strong congruence in tree and fern community turnover in response to soils and climate in central Panama. Journal of Ecology 101, 506–516 (2013).
Gaxiola, A., Burrows, L. E. & Coomes, D. A. Tree fern trunks facilitate seedling regeneration in a productive lowland temperate rain forest. Oecologia 155, 325–335 (2008).
Walker, L. R. Effects of fern Thickets on woodland development on landslides in pureto-rico. Journal of Vegetation Science 5, 924–924 (1994).
Vitousek, P. M., Gerrish, G., Turner, D. R., Walker, L. R. & Muellerdombois, D. Litterfall andnutrient cycling in 4 hawaiian montane rain-forests. Journal of Tropical Ecology 11, 189–203 (1995).
Coomes, D. A. et al. The hare, the tortoise and the crocodile: the ecology of angiosperm dominance, conifer persistence and fern filtering. Journal of Ecology 93, 918–935 (2005).
Chacon-Labella, J., De la Cruz, M., Vicuna, R., Tapia, K. & Escudero, A. Negative density dependence and environmental heterogeneity effects on tree ferns across succession in a tropical montane forest. Perspectives in Plant Ecology Evolution and Systematics 16, 52–63 (2014).
Arens, N. C. Variation in performance of the tree fern Cyathea caracasana (Cyatheaceae) across a successional mosaic in an Andean cloud forest. American Journal of Botany 88, 545–551 (2001).
Bystriakova, N., Bader, M. & Coomes, D. A. Long-term tree fern dynamics linked to disturbance and shade tolerance. Journal of Vegetation Science 22, 72–84 (2011).
Jones, M. M., Rojas, P. O., Tuomisto, H. & Clark, D. B. Environmental and neighbourhood effects on tree fern distributions in a neotropical lowland rain forest. Journal of Vegetation Science 18, 13–24 (2007).
Watkins, J. E. Jr., Mack, M. K. & Mulkey, S. S. Gametophyte ecology and demography of epiphytic and terrestrial tropical ferns. American Journal of Botany 94, 701–708 (2007).
Li, Y. et al. Changes in Forest Soil Properties in Different Successional Stages in Lower Tropical China. PLoS One 8, doi:e81359 (2013).
Zhu, S.-D., Song, J.-J., Li, R.-H. & Ye, Q. Plant hydraulics and photosynthesis of 34 woody species from different successional stages of subtropical forests. Plant Cell and Environment 36, 879–891 (2013).
Atkin, O. K., Westbeek, M. H., Cambridge, M. L., Lambers, H. & Pons, T. L. Leaf respiration in light and darkness (a comparison of slow-and fast-growing Poa species). Plant Physiology 113, 961–965 (1997).
Pineda-Garcia, F., Paz, H. & Meinzer, F. C. Drought resistance in early and late secondary successional species from a tropical dry forest: the interplay between xylem resistance to embolism, sapwood water storage and leaf shedding. Plant Cell and Environment 36, 405–418 (2013).
Poorter, H. & Navas, M. L. Plant growth and competition at elevated CO2: on winners, losers and functional groups. New Phytologist 157, 175–198 (2003).
Poorter, L. & Bongers, F. Leaf traits are good predictors of plant performance across 53 rain forest species. Ecology 87, 1733–1743 (2006).
Poorter, L. et al. The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species. New Phytologist 185, 481–492 (2010).
Morlon, H. et al. Taking species abundance distributions beyond individuals. Ecology Letters 12, 488–501 (2009).
Cortez, J., Garnier, E., Perez-Harguindeguy, N., Debussche, M. & Gillon, D. Plant traits, litter quality and decomposition in a Mediterranean old-field succession. Plant and Soil 296, 31–41 (2007).
Lavorel, S. & Garnier, E. Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail. Functional Ecology 16, 545–556 (2002).
Pavoine, S., Ollier, S. & Pontier, D. Measuring, diversity from dissimilarities with Rao’s quadratic entropy: Are any dissimilarities suitable? Theoretical Population Biology 67, 231–239 (2005).
Lepš, J. Variability in population and community biomass in a grassland community affected by environmental productivity and diversity. Oikos 107, 64–71 (2004).
Leps, J., de Bello, F., Lavorel, S. & Berman, S. Quantifying and interpreting functional diversity of natural communities: practical considerations matter. Preslia 78, 481–501 (2006).
de Bello, F. et al. Functional species pool framework to test for biotic effects on community assembly. Ecology 93, 2263–2273 (2012).
Miklos, I. & Podani, J. Randomization of presence-absence matrices: Comments and new algorithms. Ecology 85, 31–41 (2004).
Gotelli, N. J. & McCabe, D. J. Species co-occurrence: a meta-analysis of JM Diamond’s assembly rules model. Ecology 83, 2091–2096 (2002).
Kirschbaum, M. U. Does enhanced photosynthesis enhance growth? Lessons learned from CO2 enrichment studies. Plant Physiology 155, 117–124 (2011).
Craine, J. M. & Dybzinski, R. Mechanisms of plant competition for nutrients, water and light. Functional Ecology 27, 833–840 (2013).
Poorter, L., de Plassche, M. V., Willems, S. & Boot, R. G. A. Leaf traits and herbivory rates of tropical tree species differing in successional status. Plant Biology 6, 746–754 (2004).
Davies, S. J. Tree mortality and growth in 11 sympatric Macaranga species in Borneo. Ecology 82, 920–932 (2001).
Pacala, S. W. & Tilman, D. Limiting similarity in mechanistic and spatial models of plant competition in heterogeneous environments. American Naturalist 1, 222–257 (1994).
Zhou, G. et al. A climate change-induced threat to the ecological resilience of a subtropical monsoon evergreen broad-leaved forest in Southern China. Global Change Biology 19, 1197–1210 (2013).
Laliberte, E., Paquette, A., Legendre, P. & Bouchard, A. Assessing the scale-specific importance of niches and other spatial processes on beta diversity: a case study from a temperate forest. Oecologia 159, 377–388 (2009).
Sterck, F., Markesteijn, L., Schieving, F. & Poorter, L. Functional traits determine trade-offs and niches in a tropical forest community. Proceedings of the National Academy of Sciences 108, 20627–20632 (2011).
Swenson, N. G. & Enquist, B. J. Opposing assembly mechanisms in a Neotropical dry forest: implications for phylogenetic and functional community ecology. Ecology 90, 2161–2170 (2009).
Acknowledgements
This work was funded by the National Natural Science Foundation of China (31400357), and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry of China.
Author information
Authors and Affiliations
Contributions
Q.Y., H.Z. and R.H.L. designed research; R.H.L., S.D.Z., H.L. and H.Z. performed research; H.Z. analyzed data; Q.Y., H.Z. and R.J. wrote the paper.
Corresponding author
Ethics declarations
Competing Interests
The authors declare that they have no competing interests.
Additional information
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
About this article
Cite this article
Zhang, H., Zhu, S., John, R. et al. Habitat filtering and exclusion of weak competitors jointly explain fern species assemblage along a light and water gradient. Sci Rep 7, 298 (2017). https://doi.org/10.1038/s41598-017-00429-9
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-017-00429-9
This article is cited by
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.