FUNCTIONAL ATTRIBUTES AS ECOLOGICAL PREDICTORS DURING SECONDARY SUCCESSION IN A SEASONAL DECIDUOUS FOREST IN SOUTHERN BRAZIL

ATRIBUTOS FUNCIONAIS COMO PREDITORES ECOLÓGICOS DURANTE A SUCESSÃO SECUNDÁRIA EM FLORESTA ESTACIONAL DECIDUAL, SUL DO BRASIL

ABSTRACT

Through the variation of the functional attributes, it is possible to verify the functioning of an ecosystem, both by the species organization as by their responses to the environmental variations. In this sense, the objective of this study was to analyze the ecological strategies of the main tree species by analyzing their functional attributes. PCoA was used to verify which species are acquisitive and conservative; clustering was used to verify the functional attributes by groups; the Pearson’s correlation between the functional attributes and a CWM-RDA analysis was used to verify the environmental variables. Most species were classified as light-demanding climax and having zoochoric dispersion. The species presented phenotypic plasticity as an important ecological strategy in the composition of their functional attributes, especially when related to leaf area and specific leaf area. Most of the species belonged to the acquisitive group. The acquisitive and conservative groups indicate the resilience potential of the tree community and the change processes in ecological succession. There was a strong negative correlation between the leaf attributes, and a positive one with diameter and height, both correlations related to plant growth and development. Of the environmental variables only pH, K, and average elevation, were related to the attributes, indicating that environmental conditions are important for the establishment of the sampled species. Also, it was found that the species composition is linked to several conditions of ecological strategies associated with changes in the environment.

Keywords:
PCoA; CWM-RDA; Pearson’s correlation

RESUMO

Através da variação dos atributos funcionais é possível verificar o funcionamento do ecossistema, tanto pela organização das espécies como pelas respostas das mesmas em relação as variações do ambiente. Nesse sentido, o objetivo foi analisar as características ecológicas das principais espécies arbóreas, pela análise dos atributos funcionais. Utilizou-se uma PCoA para verificar quais espécies são aquisitivas e conservativas; cluster na verificação dos atributos funcionais por grupos; correlação de Pearson entre os atributos funcionais e uma análise CWM-RDA na verificação das variáveis ambientais. A maioria das espécies foram classificadas como clímax exigente de luz e com dispersão zoocórica. As espécies apresentaram a plasticidade fenotípica como importante estratégia ecológica na composição dos seus atributos funcionais, principalmente quando relacionadas a área foliar e área foliar específica. A maioria das espécies pertenceram ao grupo das aquisitivas. O grupo das aquisitivas e conservativas indicam o potencial de resiliência da comunidade arbórea e os processos de mudança na sucessão ecológica. Foi verificada forte correlação negativa entre os atributos foliares e positiva com diâmetro e altura, ambas as correlações relacionadas ao crescimento-desenvolvimento da planta. Das variáveis ambientais, apenas pH, K e cota média tiveram relação com os atributos, indicando ser importantes condições ambientais para o estabelecimento das espécies amostradas. Além disso, verificou-se que a composição de espécies está atrelada a várias condicionantes de estratégias ecológicas associadas com as mudanças no meio ambiente.

Palavras-Chave:
PCoA; CWM-RDA; Correlação de Pearson

1. INTRODUCTION

The transformation of vegetation from continuous areas into isolated remnants or modified vegetation portrays the effect of anthropic action which decreases species richness, carbon stock, as well as ecosystem activities which altogether interfere in the structuring and functioning of the ecosystem (Laurance et al., 2006).

In turn, ecosystem functioning is related to the abiotic and biotic environments present within it (Mayfield, 2006). Thus, the set of plants with their combined functional attributes determine these relationships of ecological aptitude, both by the interactions between species and by their ways of responding to environmental variations (Sosinski-Júnior and Pillar, 2004).

In areas which have generally been abandoned after agricultural activity, for example with poorly managed soils, natural regeneration improves soil conditions by depositing organic matter and nitrogen availability. The improvement in soil quality, water retention and fertility favor colonizing less tolerant species to below ground stresses and those which are more tolerant to canopy cover rates (Chazdon, 2016).

Thus, functional attributes are considered as all the morphological and physiological characteristics which influence the establishment, development and survival of a plant (Violle et al., 2007) and the combination of these attributes represents the ecological strategies of the plants regarding their acquisition and use of resources available in the environment (Pérez-Harguindeguy et al., 2013). Likewise, it is important to note that these characteristics distinguish species at different succession stages which are determinants of the demographic rate and direct changes and tree composition during forest regeneration (Chazdon, 2016). The species are established according to the availability of resources and investment capacity, called conservative and acquisitive (Diaz et al., 2004; Reich, 2014), which represent this partition context of ecological niches, vertical forest structure and population distribution by environmental gradient (Sousa et al., 2017). In other words, these two considered categories refer to their acquisition and resource usage strategies, for example rapid growth (acquisitive) and slow growth (conservative).

These ecological strategies can lead to inferences regarding the resilience potential of a fragmented area. Combining the measurements of functional attributes in facing the similarity of their ecological functions can clarify the role of the tree community (Freitas and Mantovani, 2017) through the set of plants with functional redundancy, meaning strategies of similar ecological conditions, in which the condition for them to be allocated in areas under anthropic disturbance is verified (Pillar et al., 2013).

Therefore, considering the importance of understanding and interpreting the multiple ecological relationships which influence secondary succession, the study aims to: measure the functional traits of the main tree species present in the floristic composition in order to infer their distribution in functional groups (acquisitive or conservative) and their ecological interactions; to analyze which environmental variations influenced the species in relation to their functional attributes in a stretch of Seasonal Deciduous Forest on the edge of the Southern Plateau of Rio Grande do Sul, Brazil.

2.MATERIAL AND METHODS

2.1.1 Study area location and characterization

The study was carried out in a stretch of Seasonal Deciduous Forest (IBGE, 2012), at the coordinates 29° 35'19.19"S and 53° 21'47.63" W, municipality of Dona Francisca, in the region of Quarta Colônia, RS, Brazil. The region’s climate is classified as humid Cfa - Subtropical, with maximum temperatures of 18°C in winter and above 22°C in summer, with rains well distributed throughout the year (Alvares et al., 2013).

The forest stretch is inserted on a slope and has approximately 7 ha, with an average altitude of approximately 153 m. In addition to presenting springs and water courses, it is also possible to verify a wavy to strong wavy relief on a discontinuous level, as well as soils in the region being classified as Argisol and Cambisol associated with Neossol (Pedron and Dalmolin, 2011).

The area is inserted in an anthropic matrix upon which agriculture and livestock practices predominate. The vegetation is considered secondary, since there was a clear cut in the area for tobacco growing. The vegetation was recovered through natural regeneration after abandonment of the area approximately 50 years ago. Thus, 50 plots in 10 parallel strips in the base direction to the top of the slope measuring 10 x 20 m (200 m²) were installed for the floristic survey and phytosociological study. The plots were allocated following the systematic pattern, being 10 m apart and 40 m between the strips, sampling 1 ha of forest (Figure 1).

Figure 1
Geographic location and representation of the study area with the respective slope. Figure 1, left is the Brazilian map, followed by the region of the Fourth Colony with the provision of the municipalities and study area.
Figura 1
Localização geográfi ca e representação da área de estudo com a respectiva declividade. Sendo, fi gura 1, a esquerda com o mapa brasileiro. Seguida da região da Quarta Colônia com a disposição dos municípios e área do estudo.

2.1.2 Determining the functional attributes

A total of 19 native tree species, which represented 84.4% of the vegetation cover, were selected from the analysis of the phytosociological estimators to study their functional attributes (Missio, 2019). This species selection criterion was used according to the methodology proposed by Cornelissen et al. (2003) and Perez-Harguindeguy et al. (2013), who state that the abundance of species composing 80% of the floristic composition is sufficient to represent it as a whole.

Next, 10 individuals per species were randomly selected from 50 plots to measure their functional attributes (leaf area, specific leaf area, maximum height and maximum diameter). First, 20 leaves were collected from each individual from the middle to upper third of the crown, with luminous incidence, and preferably healthy ones in order to determine the leaf area and specific leaf area (Pérez-Harguindeguy et al., 2013). Later, the leaves were photographed in the laboratory and the leaf area was determined using the ImageJ program (Rasband, 2007). The leaves were subsequently put into an oven until they reached constant weight. The specific leaf area was then determined by the ratio between the leaf area (cm²) and dry weight (g). Next, those with the 10 highest values were selected and the means for height and DBH was performed (Pérez-Harguindeguy et al., 2013). A specialized literature review was conducted for the categorical functional attributes (dispersion syndrome, regeneration guilds and leaf renewal regime), with species separated into zoochoric, anemochoric and autochoric; pioneers, light-demanding climax and shade-tolerant climax; deciduous or evergreen (Van der Pijl, 1982; Oliveira- Filho et al., 1994; Lorenzi, 1998; Lorenzi, 2000; Carvalho, 2003).

2.1.3 Collection of environmental variables

Soil samples were collected in each of the 50 installed plots and the chemical and physical properties were determined by the Soil Analysis Laboratory of the Soil Department of UFSM. Next, pH (pH in H₂O), phosphorus (P), potassium (K), soil organic matter (SOM%), aluminum (Al), calcium (Ca), and magnesium (Mg) were used as the chemical properties, and potential acidity (H+Al), effective CEC (CECef), CEC at pH = 7 (CECpH7), base saturation (V%), and aluminum saturation (m%) were calculated. Moreover, sand%, silt%, and clay% were quantified as physical properties according to Embrapa (2011).

Topographic variables: average elevation (m), maximum elevation (m) and average slope (%) were obtained in each plot using the Global Positioning System (GPSMAP 76CSx) and a Suunto clinometer according to the methodology adapted from Oliveira-Filho et al. (1994).

The stony percentage of each plot was performed visually and classified into four classes according to the methodology adapted from Santos et al. (2013). The canopy coverage was obtained using the concave spherical densiometer model A (Lemmon, 1957) through four readings in the north, south, east and west directions at the center of each plot.

2.1.4 Data analysis

A matrix with functional attributes and tree species was used and transformed into a dissimilarity matrix by Gower’s distance (Gower, 1971), and a PCoA ordering was also performed to separate tree species in relation to their ecological strategies, considering acquisitive (quick return in investment) or conservative (invest in the long term in acquiring resources). Acquisitive species are those which have a negative relationship with the axis and conservative species have positive values (Silva et al., 2015). Next, a Cluster analysis was performed using the same matrix in order to verify which functional attributes are important in forming functional groups considering the species separated into acquisitive and conservative through the UPGMA connection method. The effectiveness of this analysis was verified by the co-phenetic correlation coefficient (Legendre and Legendre, 1998; Borcard et al., 2011).

Continuous functional attributes were subsequently used for the next two analyzes. According to Laureto et al. (2015), in some investigations it is preferable to select the attributes which best match the structure of the tree community and which represent the close relationship between species and the environment in order to understand the ecosystem processes of interest, therefore selecting the key quantitative attributes which are generally more effective in identifying interspecific variability. Thus, Pearson’s correlation (Legendre and Legendre, 1998) was used in order to analyze the dependence between these functional attributes and in the composition of the species in these groups. It varies from -1 to 1, with the closer to the extremes representing a greater positive or negative linear relationship.

Next, a matrix of the functional attributes of each species was generated by its abundance per plot to verify the response of the functional attributes in relation to the environmental variables sampled in the forest stretch. This was performed using the CWM technique (community weighted mean, constituting the weighted average of the attributes of the community) according to Garnier et al. (2004), and an RDA redundancy analysis was performed to plot the functional attributes and their significant environmental variables (p < 0.1). All analyzes were performed using the R statistical software program with the main packages such as vegan, FD and ade4 (R Development Core Team, 2018).

3.RESULTS

Considering the categorical and continuous attributes (Table 1), three species were considered as shade-tolerant climax and the rest as light-demanding climax. There was only one species with autochory dispersion syndrome, four anemochoric species and 14 were zoochoric. Regarding the leaf renewal regime, seven were deciduous and 12 perennial. For the continuous attributes, the species with larger leaves were Cabralea canjerana and Cedrela fissilis. The species with smaller leaves was Casearia decandra. Furthermore, Cedrela fissilis, Machaerium paraguariense and Casearia decandra stood out from the others regarding the highest value observed for the specific leaf area, demonstrating that they are less long-lived leaf species, less resistant to physical and biological conditions, as well as investing less in the leaf structure when compared to other tree species. Actinostemon concolor had a shorter height and smaller diameter, which was expected because it is a kind of understory, and the opposite of what was observed for Nectandra lanceolata.

Table 1
Acquisitive and conservative tree species with their respective functional attributes, sampled in a secondary vegetation stretch of Seasonal Deciduous Forest, RS, Brazil.
Tabela 1
Espécies arbóreas aquisitivas e conservativas, com seus respectivos atributos funcionais, amostradas em um trecho de vegetação secundária de Floresta Estacional Decidual, RS, Brasil.

Group	Functional attributes							PCoA
1- Conservative species	LA	SLA	Hmax(m)	Dmax	RG	DS	LR	0.3781*
	(cm2)	(cm2g) -1	(cm)
Apuleia leiocarpa (Vogel) J.F.Macbr.	29.61	78.38	14.8	17.84	LDC	An	D	0.2057
Cordia trichotoma (Vell.) Arráb. ex Steud.	38.95	64.07	16.5	17.82	LDC	An	D	0.2132
Cedrela fissilis Vell.	450.5	287.46	14.8	23.95	LDC	An	D	0.3046
Machaerium paraguariense
Hassl.	85.0	257.37	14.2	15.08	LDC	An	D	0.2414
Cabralea canjerana (Vell.) Mart.	522.3	118.62	18	29.87	LDC	Zo	D	0.1243
Ficus luschnathiana (Miq.) Miq.	36.75	104.02	14.45	33.07	LDC	Zo	D	0.0831
Casearia decandra Jacq.	8.36	256.06	10.3	15.60	STC	Zo	D	0.0442
2- Acquisitive species	LA	SLA	Hmaxm	Dmax	RG	DS	LR	0.3781*
	cm2	cm2g-1	cm
Nectandra lanceolata Nees	30.17	124.02	22.2	46.97	LDC	Zo	P	-0.1186
Nectandra megapotamica (Spreng.) Mez	18.83	142.87	18.75	40.30	LDC	Zo	P	-0.1012
Ocotea puberula (Rich.) Nees	39.14	245.59	18.3	39.54	LDC	Zo	P	-0.0694
Cupania vernalis Cambess.	294.6	105.96	14.3	20.02	LDC	Zo	P	-0.0690
Matayba elaeagnoides Radlk.	158.2	104.01	13.25	17.45	LDC	Zo	P	-0.0788
Allophylus edulis (A.St-Hil.et.al.)	26.21	163.56	11.5	15.19	LDC	Zo	P	-0.0915
Hieron. ex Niederl.
Annona neosalicifolia H. Rainer	35.62	228.81	8.2	12.29	LDC	Zo	P	-0.0990
Cordia ecalyculata Vell.	21.74	142.54	10.9	16.51	LDC	Zo	P	-0.0983
Casearia sylvestris Sw.	18.84	165.26	13.95	16.85	LDC	Zo	P	-0.0752
Inga marginata Willd.	83.81	143.74	13.7	16.95	LDC	Zo	P	-0.0743
Actinostemon concolor (Spreng.) Mϋll.Arg.	15.94	92.99	4.75	6.47	STC	Au	P	-0.1717
Guarea macrophylla Vahl	334.1	114.3	9.9	21.53	STC	Zo	P	-0.1690

• LA = leaf area; SLA = specific leaf area; Hmax = maximum height; Dmax = maximum diameter; RG = regeneration guilds (STC = shade-tolerant climax; LDC = light-demanding climax), DS = dispersion syndrome (Au = autochorous; An = anemochoric; Zo = zoochoric); LR = leaf renewal regime (P = perennial evergreen; D = deciduous).
  AF = área foliar; AFE = área foliar específica; Hmáx = altura máxima; Dmáx = diâmetro máximo; GR = guildas de regeneração (CTS = clímax tolerante a sombra; CEL= clímax exigente de luz), SD = síndrome de dispersão (Au = autocórica; An = anemocórica; Zo = zoocórica); RF = regime de renovação foliar (P = perenifólia; D = decídua).
• ^*
  PCoA eigenvalue.
  autovalor da PCoA

In analyzing the values generated in the PCoA axis 1 (Table 1) in relation to resource allocation strategies (acquisitive and conservative), seven tree species showed conservative characteristics and 12 were considered acquisitive. The latter was the largest group, being represented by a predominance of species with faster strategies for investment in resources, i.e. water, light and nutrients, leaves with greater luminosity absorption per unit of biomass (specific leaf area), more membranous leaves, and most with greater growth in height and diameter.

The co-phenetic correlation coefficient for the cluster analysis (Figure 2) represented a satisfactory result regarding its interpretation, with a value of 91%. The formation of two associated groups was verified by the functional dispersion syndrome attribute and regeneration guilds. The first group had two subdivisions, namely the zoochoric species subgroup and the other being anemochoric species, both being light-demanding and deciduous climax species. The second group was formed by the species divided between shade-tolerant climax and the largest subgroup formed by species belonging to the light-demanding climax with zoochoric dispersion syndrome and perennials.

Figure 2
Dendrogram used to check species organization according to their ecological strategies.
Figura 2
Dendrograma utilizado para verifi car a organização das espécies de acordo com suas estratégias ecológicas.

Only Casearia decandra presented a different behavior when the ordering and dendrogram were analyzed together. The same species which belonged to the conservative group joined those of the group separated by the regeneration guild; in addition, the same division between species was observed in both identifying the functional groups and in separating the species into acquisitive and conservative.

A strong negative linear correlation was observed considering the correlation analysis between the continuous functional traits for the leaf area and specific leaf area, which indicates an inverse proportion. Moreover, they increase in the same proportion for maximum height and maximum diameter (H/D ratio). No linear relationship was found for the other correlations which shows dependence between them (Figure 3).

Figure 3
Pearson’s correlation between the continuous functional traits related to the 19 most abundant species in Seasonal Deciduous Forest, RS, Brazil, 2019. Where: LA = leaf area; SLA = specifi c leaf area; Hmax = maximum height; Dmax = maximum diameter. Numerical values = positive or negative eigenvalues presented according to the degree of association (the closer to the extremes the greater the positive or negative linear relationship).
Figura 3
Correlação de Pearson entre os a traços funcionais contínuos relacionados as 19 espécies mais abundantes em Floresta Estacional Decidual, RS, Brasil, 2019. Em que: AF = área foliar; AFE = área foliar específi ca; Hmax = altura máxima; Dmax = diâmetro máximo. Valores numéricos = autovalores positivos ou negativos apresentados de acordo com o grau de associação (quanto mais próximo aos extremos maiores é a relação de linear positiva ou negativa).

Three environmental variables related to the soil properties and relief were significant, explaining 46% of the functional attributes in the RDA analysis (Figure 4), with the first axis explaining 46.07% and the second with 32.24%.

Figure 4
CWM-RDA analysis in relation to the fi ve continuous functional traits and signifi cant environmental variables (p < 0.1). Where: LA = leaf area; SLA = specifi c leaf area; Hmax = maximum height; Dmax = maximum diameter; pH = pH in H2O; K = potassium; average elevation (Cotamed).
Figura 4
Análise CWM-RDA em relação aos cinco traços funcionais contínuos e variáveis ambientais signifi cativas (p < 0,1). Em que: AF = área foliar; AFE = área foliar específi ca; Hmax = altura máxima; Dmax = diâmetro máximo; pH = pH em H2O; K = potássio; cota média (Cotamed).

Mean height was related to species with larger leaves, indicating that they were preferential for those which invest more in leaf construction in the higher parts of the forest stretch, presenting a higher dry matter content and are generally more coriaceous. Opposite to the leaf area vector (LA), the species with the largest specific leaf areas were preferred in soils with the highest potassium concentration and in the places with the lowest variations in altitude. The attributes related to height and DBH were closely related to soil pH.

4.DISCUSSION

The most representative species sampled together with their functional attributes demonstrated how the composition of an arboreal community is formed over time. In view of their ecological strategies and interactions with local conditions, species have mechanisms to establish, develop and maintain their population in different environmental conditions (Soboleski et al., 2017; Missio et al., 2017; Mason et al., 2005). This is due to the variation in the functional attributes of each plant, as well as the phenotypic plasticity between them (Scheiner et al., 2016) which present a trade-off relationship between theirstrategies given the conditions imposed by the environment (Baraloto et al., 2005) such as variations in leaf size or photosynthetic capacity due to investment in biomass, both inversely proportional, in relation to light capture (Reich et al., 2003). Still, the positive relationship between height and diameter is due to the proportion of vertical investment by the plant and mechanical support of the stem/trunk, which is an important association for the plant’s strategy in terms of competitive vigor, growth form and resilience to environmental disturbances (Pérez-Harguindeguy et al., 2013).

For Chazdon (2016), the composition of an arboreal community depends on the functional characteristics of the species associated with the set of environmental variations, in which the populations pass through ecological filters when seedlings are in the recruitment phase and so forth successively until the adult phase, with dispersion being the first filter for this author. As a rule of thumb, seed dispersal assists in conditioning forest regeneration and propagating propagules, as demonstrated by Chen et al. (2018). This functional attribute influenced the floristic diversity, and the greater representativeness of zoochoric species represented the interaction between flora and fauna as mechanisms of coexistence, and which has already been very well reported in the other secondary forests of the southern region (Scipioni et al., 2013; Negrini et al., 2012; Budke et al., 2005).

Nevertheless, to germinate and remain in the different strata of the forest, the division of species according to the need for light is the transformation sequence and structure of the tree component, meaning that it corroborates with what was observed for most species belonging to the light-demanding climax species. This functional attribute represented the species’ similarity in the process of covering the tree layer and consequently continuity in the forest succession. In a condition of high light availability after disturbances, pioneer species become specialists in colonizing and establishing these areas. However, they show a reduction in relation to survival and growth under conditions of canopy closure and greater shading along the secondary succession, thus opening conditions for species replacement which occur in “vertical waves” after canopy coverage from the understory towards the canopy (Chazdon, 2016).

While the coexistence of species in functional groups was observed in the assembly of the tree community, it is then stated (in this case) that in an area which has undergone anthropic intervention with a change in the floristic composition and subsequently its restoration, the dispersion syndrome and regeneration guilds were the two most important ecological attributes for secondary succession in the forest stretch.

Furthermore, the environment itself was favorable for the rapid return on investment of available resources for organizing these species when verifying that acquisitive species form the largest number of conservative species, meaning they are related to growth, reproduction and development. In this regard, the Casearia silvestris species stands out, which had greater abundance and representativeness in the tree community, with the same being found by Silva et al. (2015) in an area of secondary vegetation as an acquisitive species.

Acquisitive species generally perform rapid optimization of resources such as water, light, and nutrients, and therefore show rapid growth in height and leaf investment in relation to the availability of light (Donovan et al., 2011). On the other hand, conservative species are generally slower in their allocation with a low specific leaf area, low photosynthetic rate, less long-lived leaves and larger sizes; however, they invest more in defense mechanisms (herbivory) than acquisitive mechanisms (Poorter et al., 2009).

According to Silva et al. (2015), acquisitive species in forest areas in the initial and intermediate stages of succession are easily established by training and optimizing the resources available in the environment. This fact was also observed by Pyles et al. (2018), where they found that secondary tropical forests in recent succession stages presented species with ecological strategies showing values characteristic of those belonging to the acquisitive group. According to Lohbecki et al. (2014), this is because environmental filtration selects these functionally similar species. However, species considered conservative tend to establish themselves throughout the succession process and are preferred in more advanced stages in which the dominant ecological process is competition and environmental resources are scarcer (Wright, 2004; Lohbeck et al., 2014).

The indicator for acquisitive and conservative species in the area demonstrated great potential for resilience in the forest in which the species are functionally redundant in their respective groups. Moreover, the presence of two ecological interactions (competitive interaction and environmental filtering) guide ecosystem processes and support the forest structure. Still, according to Chazdon (2016) and Pillar et al. (2013), recent forests in successional stages have equivalent species which perform redundant activities in order to compose the ecological structure of the tree community, being resilient to disturbances and the respective environmental filters.

When analyzing the functional attributes with the environmental variables, there was a close relationship with the local conditions of the relief and soil variables. Studies such as those by Missio et al. (2016), Sousa et al. (2017) and Soboleski et al. (2017) have already portrayed the influence of environmental conditions on the coexistence of species and their functional attributes in forests in the southern region. The occurrence of more conservative species with larger leaves in higher places of the forest stretch directly reflects the relationship of this functional attribute as an advantage in absorbing light, in contrast to species which have leaves with a smaller specific leaf area that invest in fast growth to capture light and less in leaf construction (Cornelissen et al., 2003).

Furthermore, growth in height and diameter related to the pH in the soil reflects the species’ ability to develop according to the partition of their ecological niches, reflecting on the species selection mechanisms in the organization of an arboreal community (Diaz et al., 2004). In turn, Missio et al. (2016) also verified the relationship of pH in the soil with characteristics related to the growth of tree species.

5.CONCLUSION

It was found that the functional attributes analyzed in the composition of the main tree species were important for the successional processes in response to the disturbances, and that they guided forming groups of functionally similar species. In turn, these are characteristic of forests in regeneration stages, with the most abundant being acquisitive species. It was also observed that the two attributes which best represent the forest in a secondary forest stage were the dispersion syndrome and regeneration guilds. Lastly, functional attributes represented the different strategies of the species in response to environmental variables in allocating the available resources in the respective study area and thus establish growth-survival in view of the partition of niches in local conditions.

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Publication Dates

• Publication in this collection
  14 Dec 2020
• Date of issue
  2020

History

• Received
  18 June 2019
• Accepted
  20 Jan 2020