RELATIONSHIP BETWEEN SOIL SEED BANK AND CANOPY COVERAGE IN A MINED AREA

BANCO DE SEMENTES DO SOLO E SUA RELAÇÃO COM O DOSSEL EM UMA ÁREA MINERADA

ABSTRACT

The objective of this study was to evaluate and correlate information about soil seed bank and canopy (%Canopy Openness and Leaf area index-LAI) in a mined area in restoration process through natural regeneration. The study area is located in Zona da Mata of Minas Gerais, which presents predominance of Semideciduous Seasonal Forest, and has an area of 0.5 ha in process of natural regeneration after six years of bauxite exploitation (without any intervention). Along the area, ten plots of 45x29cm were allocated and distributed in the best way to represent the whole area in restoration process. Seed bank diversity and canopy characteristics were evaluated in these plots, the last one using a NIKON D40X photographic camera, with fisheye lens of 8mm. As results, 8280 individuals (tree, shrub, herbs, and vines) were found, totaling 51 species and 24 botanical families. The Shannon diversity index (H’) was 2.770, and the equability (J) was 0.705, which demonstrate an average diversity in this area, with a density of 2114.94 germinated seeds m^-2. Through the evaluation of the seed bank, the presence of exotic species (23.5%), the dominance of the pioneer species (68.6%), as well as high dispersal by wind (52.9%) were verified in the area. According to canopy characteristics, a significant variation between different points/regions within the study area was found, while patterns of existence of certain herbs as a function of canopy openness (lower vegetal cover/clearings) were also identified, as well as in response to spatial proximity between the allocated plots, confirming the high correlation between these two variables and their importance in the process of forest restoration.

Keywords:
Mining; Restoration of degraded areas; Natural regeneration

RESUMO

Os objetivos deste estudo foram avaliar e correlacionar dados do banco de sementes do solo e do dossel (abertura de dossel-% Canopy Openness e índice de área foliar-IAF) em uma área minerada em processo de restauração por regeneração natural. A área de estudo localiza-se na Zona da Mata Mineira, que apresenta predomínio de Florestas Estacionais Semideciduais, e possui área de 0.50 ha em processo de regeneração natural após 6 anos da exploração de bauxita (sem nenhuma intervenção). Foram plotadas 10 parcelas de 45x29cm ao longo da área, distribuídas de forma a representar toda a porção em processo de restauração. Nestas parcelas foram avaliadas a diversidade do banco de sementes e as características de dossel, estas últimas coletadas através de uma câmera fotográfica NIKON D40X com lente de 8 mm (fisheye). Como resultados foram encontrados 8.280 indivíduos arbóreos, arbustivos, herbáceos e trepadeiras, totalizando 51 espécies e 24 famílias botânicas. O índice de diversidade de Shannon (H’) foi 2,770 e a equabilidade (J) foi 0,705, demonstrando assim uma média diversidade florística desta área, com densidade de 2.114,94 sementes germinadas m^-². Através da análise do banco de sementes verificou-se a presença de espécies exóticas na área (23,5%), domínio de espécies pioneiras (68,6%), assim como a predominância de espécies dispersas por anemocoria (52,9%). Quanto às características do dossel, verificou-se uma grande variação existente em diferentes pontos da área, podendo também ser identificado certos padrões de existência de determinadas espécies herbáceas em função da abertura do dossel (menor cobertura vegetal/clareiras), bem como em função da proximidade espacial entre as parcelas plotadas, comprovando assim a alta correlação entre estas duas variáveis e sua importância no processo de restauração florestal.

Palavras-chave:
Mineração; Recuperação de áreas degradadas; Regeneração natural

1. INTRODUCTION

A better understanding of the dynamics, behavior, and existence of establishment patterns in response to environmental and local characteristics is essential for the definition, development, and execution of ecological restoration projects (Martins, 2018a). In this sense, there are different ways, methods, and indicators to evaluate a degraded environment or one that has undergone some alterations on its vegetable, edaphic, and fauna levels, among others.

Natural regeneration is one of the most commonly used vegetative indicators, which is the result of a set of ecological processes and components of the ecosystem (seed rain, seed bank, regrowth of roots and strains). Thus, it expresses the resilience of the recovering ecosystem (Martins, 2018a). However, other indicators can also be applied, such as litter production and decomposition and canopy openness, which influence directly the local microclimate and species adaptation in response to the tolerance to solar incidence (Martins et al., 2008; Martins, 2009).

In this sense, the soil seed bank, which is composed of viable non-germinated seeds present in the soil or mixed with the litter (Simpson et al., 1989), is an important source of propagules for the plant restoration of an altered site (Lu et al., 2010). Also, it helps to understand the mechanisms of adaptation, distribution, and viability of plant species in a given area (Ooi, 2012).

Furthermore, soil seed bank assessment enables to “predict” the responses of a forest in case some disturbance occurs in the area (Cumming et al., 2005; Coutts et al., 2011; Martins et al., 2015); moreover, its use in altered areas allows the increase of plant diversity (e.,g seed bank transposition), re-establishment of native species on the area (Hall et al., 2010), as well as the identification of possible relationships or effects of the canopy vegetation on seed bank dynamics (Hyatt and Casper, 2001), among other possibilities.

Thus, vegetative indicators have a high potential for utilization because they are easy to be quantified when compared with other biological indicators. In addition to these indicators, canopy openness (%Cnpy Open) and leaf area index (LAI) can be used to evaluate the structure and characteristics of the canopy (Woodgate W et al., 2015), which directly influence the internal microclimate of the forest (Gaudio et al., 2012; Von Arx et al, 2017), the amount of intercepted radiation (Chianucci and Cutini., 2013; Jagodzínski et al., 2016) and the adaptation of certain species (Matlaga et al., 2017; Song et al., 2018).

Moreover, the assessment of the canopy features assists in modeling canopy environmental characteristics (Macfarlane et al., 2000; Leblanc and Chen, 2001), which are fundamental for a better understanding of existing interrelationships as well as the quantification of impacts in the area. Thus, since LAI is related to the production of plant biomass/litter and is a good indicator of canopy structure and architecture, this index is an important parameter in the evaluation of forest stands. Hence, it is a good indicator of the development and evolution of the area (Linhares et al., 2000; Villa Nova et al., 2003; Xavier and Vettorazzi, 2003).

This evaluation is necessary because in the canopy there are several processes that directly or indirectly are essential in the process of development of a particular ecosystem, including transpiration, photosynthesis, and supply of organic matter for nutrient cycling. Thus, especially in altered areas, it is necessary to carry out evaluations and monitoring to avoid the occurrence of unforeseen events that may impair the desired restoration.

In this sense, the objective of this study was to correlate canopy openness and leaf area index data with the information of the seed bank found in the litter of a mined area to identify plant establishment and development patterns with canopy characteristics of an area undergoing natural regeneration after bauxite mining.

2. MATERIAL AND METHODS

This study was conducted in a post-bauxite mining area located at the coordinates 21º01’58.82” S and 42º34’59.82” W, in the municipality of São Sebastião da Vargem Alegre, in the Forest Zone (Zona da Mata) in the state of Minas Gerais, Brazil (Figure 1). The area has 0.5 ha and was exploited by the Brazilian Aluminum Company (CBA) in 2009 and 2010.

Figure 1
Study area location (highlighted).
Figura 1
Localização da área de estudo (em destaque).

Prior to the mining process, this area was used for coffee growing and historically by livestock (pasture). After the mining process, the area was topographically reconfigured, and the overburden was covered with a 50 cm topsoil layer. Afterwards, this area was selected for the use of the natural regeneration technique, and then the canopy and seed bank characteristics were evaluated six years after mineral exploration.

Inserted in the Atlantic Forest Biome, this area presents a climate classified as Aw, tropical with dry winter (Köppen, 1948). The average annual temperature is 18.2ºC, with an average yearly rainfall of 1,564 mm, rainy season from November to April and a dry season from May to October (Agevap, 2013).

According to the Brazilian Soil Classification System (Embrapa, 2013), typical dystrophic Red-Yellow Latosol soils predominate in the region, with typical vegetation classified as Semideciduous Seasonal Montane Forest (IBGE, 2012). The study area is within a landscape composed by pastures, forest plantations (mainly Corymbia spp.), native forest fragments, agricultural areas and recovering areas at different stages and ages, as well as areas under mining by the company.

In order to analyze canopy openness (%Cnpy Open) and leaf area index (LAI) characteristics, ten sampling points were determined to represent the area as best as possible. In addition, a minimum distance of 10 meters between the sampling points (plots) and from the edge was considered.

A digital camera NIKON D40X with fisheye lens of 8mm was used to obtain the canopy information, providing a 180º aperture. One image per point was acquired, all at 1.30 meters from the ground, thus totaling ten images for further processing.

It is worth mentioning that the readings were performed only when there was diffused light, which were recorded in the morning, between 7h00 and 10h00 a.m., avoiding periods of high incidence of solar radiation. Subsequently, the images were analyzed and classified using the Gap Light Analyzer 2.0 software (Frazer et al., 1999) to calculate the measurements.

Three samples of the topsoil to a depth of 5.0 cm were also collected at each point where canopy images were taken, with the aid of a 45 x 29 cm (1,305 cm²) frame, totaling 30 samples. These samples were transported to the shade house of the Research Nursery at Universidade Federal de Viçosa and stored in plastic trays (0.45 x 0.29 x 0.08 m), under sprinkler irrigation and isolated from possible contamination by external propagules.

Subsequently, these samples were evaluated biweekly over a 9-month period, and all emerging seedlings in each evaluation (regardless of life form) were counted and identified. The Fitopac 2.1 software (Shepherd, 2010) was used to evaluate the phytosociological parameters of the seed bank contained in the soil of the area.

In addition, the canonical correlation analysis (CCA) between the environmental variables (canopy characteristics) and the plant variables (seed bank) was carried out with the R software (R CORE TEAM, 2016), using the Vegan package (Oksanen et al., 2016). Also, the significance level was evaluated through the Monte Carlo permutation test (Ter Braak and Prentice, 1988).

3. RESULTS

The list of species and their families found in each plot through the evaluation of the seed bank in the litter of the study area is shown in Table 1. The species with the largest number of individuals were the following: Phyllanthus tenellus Roxb. (2,001); Ageratum conyzoides L. (1,216); Amaranthus deflexus L. (858); Oxalis corniculata L. (691) and Trema micrantha (L.) Blume (397), which represented a relative density of 24.17%; 14.69%; 10.36%; 8.35% and 4.79%, respectively.

Table 1
Vegetal species and their respective botanical families which were found in each plot in the study area.
Tabela 1
Espécies vegetais e suas respectivas famílias botânicas encontradas em cada parcela na área de estudo.

Family/species	Plots										LF	OR	SC	DS
	1	2	3	4	5	6	7	8	9	10
Amaranthaceae
Amaranthus deflexus L.	36	5	23	28	170	442	153		1		H	E	Pi	Zoo
Arecaceae
Euterpe edulis Mart.								4			T	N	LS	Zoo
Asteraceae
Erechtites hieraciifolius (L.) Raf. ex DC.			1		1	2					H	N	Pi	Ane
Ageratum conyzoides L.	115	159	127	126	98	129	172	88	79	123	H	N	Pi	Zoo
Conyza canadensis (L.) Cronquist	11	15	18	21	31	33	17	17	33	17	H	E	Pi	Ane
Emilia sonchifolia (L.) DC.		3							3	3	H	N	Nc	Ane
Galinsoga parviflora Cav.	3	1	2	1	15	9	6		25	1	H	E	Pi	Ane
Galinsoga quadriradiata Ruiz & Pav.				12		3					H	E	Pi	Ane
Gnaphalium pensylvanicum Willd		4	5		2	2	1	6			H	N	ES	Ane
Gnaphalium purpureum L.	32		2	4		11				2	H	N	ES	Ane
Gnaphalium spicatum Mill.	1	1	1	4	15						H	N	ES	Ane
Sonchus oleraceus L.		2				3			3		H	N	Pi	Ane
Vernonanthura diffusa (Less.) H. Rob.	8	9	12	5	12	15	15		6	32	T	N	Pi	Ane
Vernonanthura phosphorica (Vell.) H. Rob.			3				2		21		T	N	Pi	Ane
Begoniaceae
Begonia cucullata Willd.								70			H	N	Pi	Ane
Brassicaceae
Lepidium virginicum L.	5	6	8	21	10	25	8	1	10	9	H	E	Pi	Nc
Cannabaceae
Trema micrantha (L.) Blume	9	26	5		10			3	121	223	T	N	Pi	Zoo
Commelinaceae
Commelina benghalensis L.	2			31	26	3			2	3	H	N	Pi	Aut
Commelina diffusa Burm. f.	1			9	6	1					H	N	Pi	Aut
Convolvulaceae
Ipomoea sp.	15	7	2	100	82	61	10		7	5	V	N	Pi	Ane
Cyperaceae
Cyperus distans L. f.				3							H	N	Pi	Ane
Cyperus rotundus L.	36	29	18	23	77	20	11		9	2	H	N	Pi	Ane
Euphorbiaceae
Euphorbia heterophylla L.					2						H	N	Pi	Aut
Fabaceae
Senna multijuga (Rich.) H.S. Irwin & Barneby	4	4	4			1	1	2	2		T	N	ES	Aut
Lamiaceae
Hyptis suaveolens (L.) Poit.	3	3	8	13	37	22	17	4	9	7	H	N	Pi	Zoo
Leonotis nepetifolia (L.) R. Br.	32			84	16	10					S	E	Pi	Ane
Malvaceae
Sida rhombifolia L.	34	7	24	59	21	48	27	10	23	19	H	N	Pi	Ane
Triumfetta rhomboidea Jacq.		2		9		1					S	E	Pi	Zoo
Melastomataceae
Leandra niangaeformis Cogn.	1				1	3	3	5	5	24	S	N	Pi	Zoo
Onagraceae
Ludwigia tomentosa (Cambess.) H. Hara		8			9	13	4	11	4		S	N	Pi	Ane
Oxalidaceae
Oxalis corniculata L.	71	81	18	167	258	42	30	3	11	10	H	E	Nc	Ane
Phyllanthaceae
Phyllanthus tenellus Roxb.	155	253	80	311	733	126	97	15	108	123	H	N	ES	Aut
Amaranthaceae
Amaranthus deflexus L.	36	5	23	28	170	442	153		1		H	E	Pi	Zoo
Arecaceae
Euterpe edulis Mart.								4			T	N	LS	Zoo
Asteraceae
Erechtites hieraciifolius (L.) Raf. ex DC.			1		1	2					H	N	Pi	Ane
Ageratum conyzoides L.	115	159	127	126	98	129	172	88	79	123	H	N	Pi	Zoo
Conyza canadensis (L.) Cronquist	11	15	18	21	31	33	17	17	33	17	H	E	Pi	Ane
Emilia sonchifolia (L.) DC.		3							3	3	H	N	Nc	Ane
Galinsoga parviflora Cav.	3	1	2	1	15	9	6		25	1	H	E	Pi	Ane
Galinsoga quadriradiata Ruiz & Pav.				12		3					H	E	Pi	Ane
Gnaphalium pensylvanicum Willd		4	5		2	2	1	6			H	N	ES	Ane
Gnaphalium purpureum L.	32		2	4		11				2	H	N	ES	Ane
Gnaphalium spicatum Mill.	1	1	1	4	15						H	N	ES	Ane
Sonchus oleraceus L.		2				3			3		H	N	Pi	Ane
Vernonanthura diffusa (Less.) H. Rob.	8	9	12	5	12	15	15		6	32	T	N	Pi	Ane
Vernonanthura phosphorica (Vell.) H. Rob.			3				2		21		T	N	Pi	Ane
Begoniaceae
Begonia cucullata Willd.								70			H	N	Pi	Ane
Brassicaceae
Lepidium virginicum L.	5	6	8	21	10	25	8	1	10	9	H	E	Pi	Nc
Cannabaceae
Trema micrantha (L.) Blume	9	26	5		10			3	121	223	T	N	Pi	Zoo
Commelinaceae

• Where: LF= Life Form; OR= Origin; SC= Successional Category; DS= Dispersal Syndrome; H= Herb; B S= Shrub; T= Tree; V= Vine; N= Native; E= Exotic; Pi= Pioneer; ES= Early Secondary; LS= Late Secondary; Nc= Not Classified; Ane= Anemochory; Aut= Autochory; Zoo= Zoochory.

A total of 8,280 individuals, 51 species and 24 botanical families were found, with the Shannon diversity index (H’) of 2.770 and equability (J) of 0.705. Besides, the density of seedlings contained in the seed bank of the area was 2,114.94 individuals m^-².

Regarding the characteristics of the life forms (LF) of the species found in the seed bank of the collected samples, it was verified the presence of 68.6% of herbaceous species (71.4% native and 28.5% exotic), 13.7% of tree species (100% native), 9.8% of shrub (60% native and 40% exotic), 2% of vines (100% native) and 5.9% were not classified. Out of the total individuals identified, 23.5% were considered exotic, 70.6% native to the region, and 5.9% were not classified.

Concerning the successional category of species found in the seed bank in the study area, it was observed the predominance of pioneer species (68.6%), out of which 71.4% were herbaceous; 14.2% trees, 11.4% shrubs, and 3% not classified. In addition, regarding dispersal syndrome, most species showed dispersal by anemochory (52.9%), followed by zoochory (23.5%). In this context, the tree species Euterpe edulis Mart.; Trema micrantha (L.) Blume; Senna multijuga (Rich.) H.S. Irwin & Barneby; Solanum mauritianum Scop and Cecropia hololeuca stand out since they stimulate the forest restoration process either by high adaptation to restrictive environmental conditions or by dispersal and its relationship with the local fauna, thus facilitating the successional advancement of the area.

Regarding the results generated by the canopy evaluation, the %Cnpy Open and LAI values were generated for each point, as shown in Table 2. It is important to mention that plot 7 was visually dominated by invasive grasses, which consequently influenced the growth, development, and succession of shrub and tree species in this plot and their surroundings, thus explaining the high canopy opening values found in this area.

Table 2
Values of Canopy Openness (%Cnpy Open) and Leaf Area Index (LAI) for each plot in the study area.
Tabela 2
Valores de abertura de dossel (%Cnpy Open) e índice de área foliar (LAI) para cada parcela da área estudada.

Plots	% Cnpy Open	LAI 4Ring
1	25.1	2.03
2	16.44	2.31
3	73.56	0.16
4	40.48	1.05
5	60.68	0.6
6	27.74	1.77
7	61.55	0.55
8	15.64	2.45
9	9.89	3.14
10	15.48	2.95

As for the correlation analysis between canopy data (% Cnpv Open and LAI) and area seed bank (species richness), the ordering diagram was generated (Figure 2), where CCA explained 27.55% of the total inertia. From this value, axis 1 accounted for 85.39% and axis 2 for 14.61% of the explanation produced. Also, a high correlation of LAI with the species Emilia sonchifolia (L.) DC and Urochloa plantaginea (Link) R.D. Webster was observed (highlighted).

Figure 2
Canonical correspondence analysis between the seed bank and the canopy cover variables.
Figura 2
Análise de correspondência canônica entre o banco de sementes e as variáveis de cobertura de dossel.

A particular trend can also be observed in the establishment of some plant species in response to the plot or the spatial location in the study area. Such pattern can also be seen through the evaluation of the amount of seeds found per plot, which showed higher density in plots 4, 5 and 6, with values of 1,150, 1,857 and 1,132, respectively, where herbaceous species (such as grasses) had a significant participation in the results.

In addition, the highest LAI values, which reflect the highest values of the forest canopy cover, were found in plots 9, 10 and 8 respectively, not representing, however, the highest seed concentrations found in the seed bank.

Regarding the participation in the floristic composition of certain grass species, it can be observed in plot 7 (area that visually presented dominance of invasive grasses and low canopy cover), that the seed bank formed had dominance of shrub and herbaceous species such as Ageratum conyzoides L.; Amaranthus deflexus L.; Phyllanthus tenellus Roxb and Rubus rosifolius Sm., which accounted for 32.8%; 29.2%; 18.5% and 9.5% of the total species found in this plot, respectively. Thus, it can be inferred that the dominance of grasses is hindering the spontaneous regeneration of vegetation and the advancement of the ecological succession of this area.

In addition, it can be observed that in the plot where the lowest percentage of canopy coverage was found (plot 3), there was a higher presence of Ageratum conyzoides L. (29.6%); Phyllanthus tenellus Roxb (18.7%) and Urochloa decumbens Stapf. (6.3%), indicating a tendency for the establishment of the species according to the light incidence and specific conditions of areas with low canopy coverage.

On the other hand, in some plots with a greater canopy coverage (plots 8, 9 and 10), there was a high presence of Trema micrantha (L.) Blume in the seed bank (except in plot 8), which represented 21% and 32.9% of the total seeds found in plots 8 and 9, showing spatial grouping of this species in the area, high adaptability to these conditions (degraded), longevity/viability in the soil seed bank and high dispersibility (Martins et al. 2018b). Hence, Trema micrantha (L.) Blume is part of a seed bank that may guarantee further resilience of the area in case of future disturbances that may occur since, in this area, there are several adult individuals producing seeds and dispersing their propagules.

However, the invasive grasses in the seed bank were detected even in those plots with more significant canopy cover, especially those of the genus Urochloa, which may remain viable in the soil for several years. The species of this genus accounted for 5.3% of the seeds in plot 9 and 3.8% in plot 10, which is considered low, but may show that the invasive grass seed bank tends to be smaller in shaded environments, i.e., with higher canopy coverage.

These results point to the evaluation of the soil seed bank before its use for ecological restoration, such as seed bank transposition, which may possibly spread invasive species to other areas, as well as the need for medium and long term monitoring in degraded areas.

4. DISCUSSION

Through the evaluation and comparison of the diversity found in the seed bank of the study area, it is possible to verify an average diversity in the seed bank when compared to studies conducted in the region and in mining environments, as reported by Miranda Neto et al. (2014). In addition, the results were superior to those found in the studies by Costalonga (2006) and Braga et al. (2008), who also worked with the same life forms considered in this study and were carried out in Seasonal Semideciduous Forests in different conditions and stages of development and ciliary semideciduous broadleaved forest (Nóbrega et al., 2009).

On the other hand, higher values of diversity are found in the same forest typology of the study area, as observed by Peres et al. (2009) and Miranda Neto et al. (2014). Such fact may be related to the successional characteristic of the area, as well as the occurrence of changes/impacts (type, frequency, and intensity) in these areas.

The predominance of pioneer species found in the area’s seed bank may also reveal the contribution of this successional group in the restoration process of altered areas, which may favor the establishment of tree species by the fact that it creates conditions that facilitate the entrance of species of more advanced successional categories, such as shading, improved soil conditions, higher soil moisture, relationship with fauna, among others (Martins, 2009).

Regarding the species found in the seed bank of the area, Trema micrantha (L.) Blume was found in large quantities, which is very important for the forest restoration process and is highly recommended for restoration of altered environments besides facilitating the gene flow of the fauna, since the species are dispersed by animals, which contributes to its ecological and environmental importance, especially for altered areas (Martins et al., 2018b).

As for the correlation analysis between canopy characteristics and seed bank, a strong correlation was observed between LAI and the presence of some herbs. This can be explained by the aggressive and invasive behavior mainly of some species of the genus Urochloa, which may inhibit the development of shrub and tree species, working as a physical “barrier” formed by the high population density of this grass, which prevents the germination and growth of most species and, consequently, maintains the canopy with small coverage and leaf area.

On the other hand, in the plots where there was more significant presence of shrub and tree species, that is, with higher canopy cover, a reduction was observed in the number of invasive herbs in the seed bank, thus demonstrating that canopy cover can directly influence the presence and viability of seeds of invasive herbaceous species, thereby controlling their development and dispersal.

In this sense, canopy cover has a positive effect on the control of invasive grasses due to shading, therefore decreasing the intensity of solar radiation that reaches the ground, which is not sufficient for the germination and development of these species. Moreover, with the larger canopy cover produced by shrub and tree species and provided there is no disturbance that radically alters the stand trajectory, the tendency is that these species will provide propagules and increase their densities over time due to adaptation to these environmental conditions, as well as the interaction with the regional fauna and flora, thus reducing the density of invasive species due to seed unviability (dormancy time/microorganisms activity) and increasing the diversity and density of native shrub and tree species in the area.

Therefore, interventions are necessary to increase the diversity of the area, which should be carried using tree species native to the region and with advanced successional category (late secondary and climax species), thus avoiding reestablishment of invasive grasses in the area. In addition, it is recommended to evaluate and monitor the seed bank at different times and also to use forest species with zoochoric dispersal syndrome, which can assist in the propagation of propagules among neighboring native fragments and, consequently, increase the gene flow of fauna, thus accelerating the ecological restoration process of the environment.

Moreover, due to the variation that exists between the different plots of the restoration area, the use of different restoration techniques should be proposed and defined according to the specific characteristics verified in each environment, the associated costs and efficiency in the results produced.

5. CONCLUSION

Given the presence of the amount greater than 23% of exotic species contained in the area’s seed bank, as well as the current condition of coverage of specific plots of the area under the invasion of grasses, interventions to control these species become necessary. This is because any disturbances that may occur in this area and produce an opening in the canopy promote the colonization and dominance by these species, thus impairing the successional process and restoration of the area.

In addition, the small presence of early and late secondary succession species in the area’s seed bank justifies the need for interventions to enrich the diversity of species of more advanced stages of succession, so that, along with the use of other techniques, ecological functions of this area can be restored.

However, despite the need for interventions aimed at controlling invasive grasses in some plots, the area is generally evolving from a successional and ecological point of view when the technique that was used (natural regeneration) is considered since no interventions were made to assist the forest succession process in the area. Therefore, the topographic reconformation and soil preparation techniques adopted by the company allowed the natural regeneration of the area. This can be verified by the presence of shrub and tree species of higher successional categories in the area (late secondary), which indicates progress in the restoration process of this environment.

In this sense, to maximize the chances of restoration of the area and in the shortest time as possible, it is necessary to define and use techniques to accelerate the restoration process, enrich local diversity and attract fauna to achieve environmental sustainability of the area. Thus, it is recommended to use native species seedlings and/or planting in diversity nuclei with the use of early and late secondary species of shrub and tree life forms to enrich the existing plant community and stimulate the process of restoration of the area.

6. ACKNOWLEDGMENTS

The authors thank the Coordination for the Improvement of Higher Education Personnel (CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) for supporting this study through the scholarship and Aluminiun Brazilian Company (CBA -Companhia Brasileira de Alumínio) for the financial support.

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Publication Dates

• Publication in this collection
  28 Nov 2019
• Date of issue
  2019

History

• Received
  06 June 2018
• Accepted
  29 Mar 2019