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Spatial distribution and population structure of palms (Arecaceae) in a forest fragment of lowland Dense Humid Forest in South Brazil/ Distribuicao espacial e estrutura populacional de palmeiras (Arecaceae) em um fragmento de Floresta Ombrofila Densa de Terras Baixas no Sul do Brasil.

INTRODUCTION

Because the majority of natural habitats today are confined to fragments, one of the most important aspects when dealing with species conservation is the viability of small remnant populations, considering environmental and demographic characteristics (OOSTERMEIJER, 2000). However, in order to understand many aspects of populations and communities it is necessary to determine the distributions and abundances of organisms across the landscape (CLARK et al., 1995).

Although the conservational effort allocated to the Atlantic Forest biome exceeds the average of tropical forests, most protected areas are too small to ensure long-term species persistence and are too far away from each other to allow species mobility (TABARELLI et al., 2010). Emergent, large seeded and vertebrate-dispersed trees are the plant species most affected by edge effects (MELO et al., 2006; TABARELLI et al., 2010). Palms are among that species and seem a particularly representative group of organisms to study in relation to canopy- understory interactions in tropical forests (TOMLINSON, 1979).

At small spatial scales, neotropical rainforests exhibit high heterogeneity in canopy conditions, soil factors, topography and others, thus affecting directly and indirectly all aspects in the individual performance of palms (SVENNING, 2001). Changes in demography and distribution of palm species have been observed according to topographic variation (VORMISTO et al., 2004; MONTEIRO and FISCH, 2005), soil humidity and composition (MONTEIRO, 2004; SILVA et al., 2009; BAROT et al., 1999), canopy openness or luminosity (SVENNING, 2002; SAMPAIO and SCARIOT, 2008) and biotic variables, such as herbivory (STEVEN and PUTZ, 1985).

An important step towards understanding ecological processes is to identify spatial patterns (FORTIN et al., 2002). Spatial pattern is the arrangement of the members in a given population (TOWNSEND et al., 2006) and is represented by their frequency in sampling units in the study site (JANKAUSKIS, 1990). Palms are usually aggregated when seedlings, becoming more sparsely distributed with their development (REIS et al., 1996).

In the north coast of the state of Rio Grande do Sul, the Dense Humid Forest physiognomy (DHF), part of the Atlantic Forest biome, has a high landscape and plant diversity, with characteristically tropical species and the richest palm flora among the forest formations in the state (RAMBO, 1956; MARCHIORI, 2002; BRACK, 2006). This study aimed to evaluate age structure and spatial distribution of five palm species located in a fragment of DHF, verifying responses to soil moisture and canopy openness. Our hypothesis was that microhabitat heterogeneity influences the distribution of palm species at the site, through variations in the studied environmental variables.

MATERIAL AND METHODS

Study site and species

The study was conducted in a 6 ha forest fragment at the municipality of Tres Cachoeiras (29[degrees]24"58.0" S; 49[degrees]54" 49.1" W; 21m above sea level), northeast Rio Grande do Sul, Brazil (Figure 1). The area is classified as lowland Dense Humid Forest (TEIXEIRA et al. 1986), part of the Atlantic Rainforest. The vegetation type is marked by the presence of Ficus cestrifolia Schott and the geology is originated from fluvial, marine and lake quaternary sediments, up to 30m above sea level (MARCHIORI, 2002). According to Koeppen's classification, the regional climate is the Cfa type (temperate subtropical, with the warmest month's temperature superior to 22[degrees]C). The soil has organic material with different levels of organic matter and is poorly drained (STRECK et. al, 2002).

We delimited an area of 2,500[m.sup.2] (50 x 50m), divided into 25 plots of 100[m.sup.2] (10 x 10m). We sampled all individuals of the five palm species present at the site: Euterpe edulis Martius, Syagrus romanzoffiana (Cham.) Glassman, Bactris setosa Mart., Geonoma gamiova Barb. Rodr. and Geonoma schotticma Mart. The first two are canopy species and the other three are understory, clonal species.

[FIGURE 1 OMITTED]

Sampling and data analysis

Individuals from each population were classified into three ontogenetic stages: seedlings (with leaves but without aerial stem); juveniles (with a visible stem, height up to 1 cm shorter than the shortest adult observed) and adults (minimum height stipulated from the shortest fruiting individual observed). For clonal species, the stage of the genet was determined considering the stage of the oldest ramet, which defines the function of the entire genet in the population (SOUZA and MARTINS, 2002).

For an indirect measure of light availability, hemispheric photographs of the canopy were taken at the center of each plot, at breast height, with fisheye lenses attached to a digital camera. Photographs were converted into percentage values of canopy openness with the software Gap Light Analyzer 2.0 (FRAZER et al., 1999). We also measured soil humidity (% water) with a HH2 Moisture Meter attached to a Theta Probe ML2X sensor. We calculated an average for each plot, based on four measurements per plot.

We calculated total and mean species densities per plot and estimated a density per hectare for all populations. Spatial distribution of individuals was measured through the Aggregation Index (la) calculated in the software SADIEShell (PERRY et al., 1996) at a significance level of 0.05. SADIE measures de degree of overall aggregation across the sampling site through indices that represent either aggregated (la > 1), random (Ia = 1), or regular (Ia < 1) distribution patterns. The statistic significance is provided by the program using a form of randomization test.

In order to observe the relative contribution of each environmental variable to species distributions, we performed a variation partitioning analysis, which consists of partial regressions that allow us to analyze the exclusive effect of one factor by controlling the effect of the other. Also, this analysis shows through a possible interaction of both explanatory variables how much of soil humidity was structured by canopy openness. We also tested for relations between both environmental variables using Spearman correlation. Both analyses were carried out in the R environment, using the package Vegan (OKSANEN et al. 2010).

RESULTS

We surveyed a total of 1,443 individuals in all species. The average density was of 57.72 ind. 100 [m.sup.-2] and Euterpe edulis was the most abundant (n = 690), followed by Bactris setosa (n = 432), Geonoma gamiova (n = 202), Syagrns romanzoffiana (n = 77) and Geonoma schottiana (n = 42). For clonal species Bactris setosa and Geonoma gamiova, we counted a total of 562 and 225 ramets, respectively.

Population structure

For all individuals counted and measured, 1,134 (78.6%) were seedlings, 153 (10.6%) juveniles and 156 (10.8%) adults. In all populations, the number of seedlings exceeded that of juveniles. Except for Bactris setosa and Syagrns romanzoffiana, all populations had more juveniles than adults (Table 1).

The majority of seedlings belonged to the species Euterpe edulis (Table 1). This species also had the most plants in the juvenile stage, together with Geonoma gamiova. Bactris setosa presented the largest adult population.

The most frequent species, found in all 25 plots, was Euterpe edulis and the least frequent was Geonoma schottiana, present in only 12 plots. As we expected, the most frequent stage were seedlings, since it was also the most abundant stage.

Spatial distribution

Considering the total number of individuals, all species showed a significantly aggregated pattern, except for Syagrus romanzoffiana (Table 1).

Euterpe ediais had a higher aggregation at the seedling stage, which also occurred for both species of Geonoma. Bactris setosa and Syagrus romanzoffiana were more strongly aggregated at the adult and juvenile stages. Juveniles of Bactris setosa and Geonoma schottiana, as well as the seedlings of Syagrus romanzoffiana showed a tendency toward a random pattern (Ia-l).

Influence of the environment on spatial distribution

Canopy openness ranged from 10.82% to 24.13% and soil humidity varied from 23.25% to 96.03%. There was a significantly positive correlation between these variables (rs = 0.63; p<0.01).

Most of the variation was not explained by the environmental variables (Table 2). Soil humidity had significant influence on the distribution of Bactris setosa and Geonoma gamiova (Table 2). We did not observe a significant relation of canopy openness with any population distribution. However, there was a slight interaction between the two variables for adults of Bactris setosa, so canopy openness might have had an influence there.

DISCUSSION

Population structure

Natural populations are dynamic: births, deaths and individual movements change constantly due to interactions of individuals among them and with the environment (RICKLEFS, 1993). Accordingly, the analyzed populations reflected a temporal heterogeneity on plant recruitment, observed by an inverse J-shape curve population structure in three species (Geonoma gamiova, Geonoma schottiana and Euterpe ednlis), i.e. the number of individuals was the highest at the seedling stage. This decrease might be a consequence of ecological factors operating, such as herbivory and density-dependant competition (WEINER and SOLBRIG, 1984; WEINER, 1985; MATOS et al., 1999) and may indicate that these populations can maintain themselves throughout time (REIS et al., 1996).

The size of a population is influenced by the events that occur in each phase of the life cycle (SAMPAIO, 2006), which can be abiotic (e.g. wind, sunlight, rainfall) or biotic (e.g. seed dispersers or predators). The small size of the study fragment may be favorable to a future increase in the population of Syagrus romanzoffiana, due to the partial or complete absence of their seed predators such as rodents, as observed by Fleury and Galetti (2006) in Atlantic forest remnants with less than 100ha in southeast Brazil.

Spatial distribution

The majority of these species showed an aggregated spatial pattern (Table 1), which other studies have also found to be the most frequent pattern amongst tropical palms (ALVES, 1994; SOUZA and MARTINS, 2004). For Syagrus romanzoffiana and Geonoma spp., this pattern may be related to their low frequencies in the sample plots, since the aggregation is due to the high variation in number of individuals among plots.

According to the Janzen-Connell model, plant recruitment is benefited by the distance to the parent tree due to a lower density of seedlings (JANZEN, 1970; CONNELL, 1971). For example, predation is commonly density-dependant: the more aggregated, the more visible the individuals are to seed or seedling predators (ROMO et al., 2004). Seed dispersal is thus an important factor in the generation of these spatial patterns: according to the seed dispersal curve, seedlings will be more or less aggregated (BAROT et al., 1999). Thus, frugivorous animals play an important role in spatial distribution of palms, especially vertebrates such as birds and rodents (BARROSO et al., 2010). However, the small fragment size can be a limiting factor for local vertebrate communities. Moreover, due to the low density of individuals, such as the case of Syagrus romanzoffiana and Geonoma schottiana adults, it may be difficult for their seed dispersers to find them during the fruiting period, so the seedlings might accumulate more under the parent-tree (MEYER and DORNELES, 2003), which in turn can lead to density-related predation. For Syagrus romanzo ffiana seedlings, which did not have an aggregated pattern, this predation might have already occurred.

A population can have different spatial patterns among developing stages (BAROT et al., 1999). Very often palms have an aggregated pattern at the seedling stage that becomes less aggregated in later stages (REIS et al., 1996). This can be a result (or a combination) of either: 1. a mortality rate exceeding the recruitment rate; 2. the presence of a seedling bank; or 3. intra-specific competition among the adult plants (KAREIVA et al., 1990; STOLL and PRATI, 2001; BEGON et al., 2006).

Bactris setosa had an aggregated pattern for all stages except the juvenile. Monteiro and Fisch (2005) found a similar situation for this species in a lowland forest in Sao Paulo, southeast Brazil. The multi-stemmed life form of Bactris setosa, as well as for other clonal species, can act as a survival strategy for the habitat they belong to, since understory palms are more susceptible to mortality from damages caused by herbivory and tree fall (STEVEN and PUTZ, 1985).

The estimated density for adults of Euterpe edulis was high (204 ind.[ha.sup.-1]) when compared to other studies, such as Meyer and Domeles (2003), who found only 8 ind.[ha.sup.-1] in the same forest formation in the state of Santa Catarina. However, similar results were found by Reis et al. (1996) in a primary forest of DHF (315 ind.[ha.sup.-1]) which is an indication that the study fragment may be in an advanced succession stage.

Influence of the environment on spatial distribution

The only two species that responded significantly to soil moisture were understory species. This corroborates with studies that have shown that environmental variation affects understory species more strongly than for larger, canopy species, due to differences in scale such as resource consumption (DUQUE et al., 2002; WIENS, 1989).

Studying the ecophysiology of Euterpe edulis, Paulilo (2000) reported that its development was limited only by extremely low or high levels of Photosynthetically Active Radiation (PAR), indicating an ecological plasticity regarding this factor. This could explain why, in our study, this species has not had an influence by canopy openness, which varied between 10.82 and 24.13%.

As none of the canopy species (Euterpe edulis and Syagrus romanzoffiana) were significantly related to the measured variables, other indirect effects of the environmental heterogeneity such as animals, physical damage, and interspecific interference (SVENNING, 2001) might be influencing their spatial distribution at the study site. The fact that only one of the Geonoma species was affected by soil humidity indicates that, although closely related, they have distinct ecological demands and tolerances, and thus are not competing for this specific resource.

Canopy-generated heterogeneity in light availability has an important role in the ecology of understory palms, by often affecting growth and fecundity (SVENNING. 2001). The absence of significance in the regression of species abundances with canopy openness might be due to the little variation of the canopy cover among plots, considering the area is inserted in a typically tropical forest, containing a dense and continuous tree coverage (TEIXEIRA et al., 1986). However, it is important to bear in mind that the lack of a visible relationship between these variables does not imply that the canopy openness is not affecting the performance of the individuals in some way. Moreover, as pointed out by Souza (2004), leaf layers of a canopy are at least to some point dynamic, so it might be wiser to study its influence--especially on understory palms--throughout time.

Final Considerations

Soil humidity appeared to be an important variable influencing species distribution in the study site, thus helping maintain the diversity of this palm community through microhabitat specialization.

Based on the population structure, the endangered species Euterpe edulis, Geonoma gamiova and Geonoma schottiana showed a pattern of "inverse J", which points toward a process of population growth because the number of individuals at the seedling stage was higher than at the following stages. This highlights the importance of maintaining and preserving this forest fragment. Euterpe ediais is widely cut down in Brazilian forests, because it is one of the main species from which heart of palm is commercially produced (CARVALHO et al., 1999). Considering we observed signs of logging at the study site, the extraction of this species, although sustainably managed in some cases, must be avoided especially in small forest fragments, due to the high impact on the population viability. This reaffirms the relevance of demographic studies in different forest remnants, so that it is possible to establish an adequate management of this important ecological and economic resource. As for the Geonoma species, which suffer extraction of their leaves for ornamental purposes, they also need attention regarding population viability, considering that leaf removal affects several aspects of its ecology.

Acknowledgements

We are thankful to Feevale University for the infrastructure offered; to Ismael Franz, for helping in the fieldwork and figures and to Daniela Montanari Migliavacca, Micheline Kruger Neumann and all colleagues that in some way collaborated with this work.

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Laura Cappelatti (2) Jairo Lizandro Schmitt (3)

(1) Part of first author's undergraduate project, presented to the Faculty of Biological Sciences at Feevale University to obtain the degree of Bachelor in Biology.

(2) Biologist, MSc., Programa de Pos-Graduacao em Qualidade Ambiental, Feevale University, ERS 239, 2755, Caixa Postal 2755, CEP 93352-000, Novo Hamburgo (RS), Brazil, lauracappelatti@gmail.com

(3) Biologist, Dr., Professor at Programa de Pos-Graduacao em Qualidade Ambiental, Feevale University, ERS 239, 2755, Caixa Postal 2755, CEP 93352-000, Novo Hamburgo (RS), Brazil, jairols@feevale.br

Recebido para publicacao em 14/01/2011 e aceito em 17/12/2013
TABLE 1: Number of individuals (N.I.), frequency (number of sample
plots in which the species was found), estimated density in a
hectare (Ind. [ha.sup.-1]) and Aggregation Index (la) for all age
classes of Euterpe edulis (EE), Bactris setosa (BS), Geonoma
gamiova (GG), Geonoma schottiana (GS) and Syagrus romanzoffiana
(SR) in a fragment of Dense Humid Forest in Rio Grande do Sul,
Brazil.

TABELA 1: Numero de individuos (N.I.), frequencia (numero de
unidades amostrais nas quais a especie foi encontrada), densidade
estimada em um hectare (Ind. [ha.sup.-1]) e indice de Agregacao
(Ia) para todas as classes etarias de Euterpe edulis (EE), Bactris
setosa (BS), Geonoma gamiova (GG), Geonoma schottiana (GS) e
Syagrus romanzoffiana (SR) em um fragmento de Floresta Ombrofila
Densa no Rio Grande do Sul, Brasil.

Age class        Value           EE         BS        GG

Seedlings         N.I.           576       319        139
               Frequency         25         24        16
            Ind. [ha.sup.-1]    2304       1276       556
                   Ia          1.56 **   1.49 **    1.37 *
                  N.I.           63         38        42
               Frequency         21         19        14
Juveniles
            Ind. [ha.sup.-1]     252       152        168
                   Ia          0.81ns     1.03ns    1.27ns
                  N.I.           51         75        21
Adults         Frequency         21         22        12

                Ind. ha1         204       300        84
                   Ia          1.28 *    1.71 **     1.2ns
Total             N.I.           690       432        202
               Frequency         25         24        17
            Ind. [ha.sup.-1]    2760       1728       808
                   Ia          1.63 **   1.56 **    1 44 **

Age class        Value           GS        SR

Seedlings         N.I.           28        72
               Frequency          8        20
            Ind. [ha.sup.-1]     112      288
                   Ia          1.5 **     1.09
                  N.I.            8        2
               Frequency          6        2
Juveniles
            Ind. [ha.sup.-1]     32        8
                   Ia          1.09ns    1.41 *
                  N.I.            6        3
Adults         Frequency          4        2

                Ind. ha1         24        12
                   Ia          1.29 *    1.3 *
Total             N.I.           42        77
               Frequency         12        20
            Ind. [ha.sup.-1]     168      208
                   Ia          1.54 **   1.12ns

Em que: * p < 0.05; ** p < 0.001.

TABLE 2: Variation of species distribution partitioned between the
environmental variables in a fragment of Dense Humid Forest in Rio
Grande do Sul, Brazil. Values are adjusted [R.sup.2]. S: seedlings,
J: juveniles and A: adults.

TABELA 2: Variacao da distribuicao de especies particionada entre as
variaveis ambientais em um fragmento de Floresta Ombrofila Densa no
Rio Grande do Sul, Brasil. Valores sao [R.sup.2] ajustados. S:
plantulas; J: jovens; A: adultos.

                                            Interaction
Species                  Stage   Humidity     of both

Bactris setosa             S       0.06          0
                           J     0.085 *       0.13
                           A     0.29 **      0.06 *
Euterpe edulis             S      0.044          0
                           J        0            0
                           A       0.07          0
Syagrus romanzoffiana      S        0            0
                           J       0.02          0
                           A      0.092          0
Geonoma gamiova            S     0.216 **      0.04
                           J     0.331 **        0
                           A     0.248 *         0
Geonoma schottiana         S      0.321          0
                           J       0.01          0
                           A      0.027          0

                                  Canopy
Species                  Stage   Openness   Unexplained

Bactris setosa             S      0.378        0.562
                           J        0           0.8
                           A        0          0.741
Euterpe edulis             S       0.02        0.99
                           J        0            1
                           A        0          0.93
Syagrus romanzoffiana      S        0            1
                           J       0.29        0.73
                           A      0.119        0.88
Geonoma gamiova            S        0          0.77
                           J       0.05        0.68
                           A       0.09        0.79
Geonoma schottiana         S      0.356        0.64
                           J        0          0.99
                           A      0.363        0.67

Em que: * p < 0.05; ** p < 0.01.
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Title Annotation:texto en ingles
Author:Cappelatti, Laura; Schmitt, Jairo Lizandro
Publication:Ciencia Florestal
Date:Oct 1, 2015
Words:4570
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