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Population Dynamics of Croton blanchetianus Baill. in a Caatinga Area in the Brazilian Semi-Arid

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DOI: 10.4236/ajps.2018.94070    335 Downloads   647 Views  


The vegetation of the Caatinga, present in the dry areas of the Brazilian Semi-arid region has been little studied, when it relates to population dynamics of their species. The objective of this study was to evaluate the mortality and recruitment rates of a Croton blanchetianus Baill. population in a two-year interval (January/2013 to January/2015), in area of caatinga in the semi-arid Paraiba. Monitoring of structural changes in the vegetation was carried out in 96 10 × 10 m contiguous plots. The phytosociological survey conducted in January 2013 sampled 1078 individuals of C. blanchetianus, occurring in the 96 plots studied. The years of 2012 and 2013 had rainfall below the annual average. Take into consideration the evaluation period; there was a high mortality rate (M = 47.33% year-1) and a low recruitment rate (R = 0.18% year-1) for the population of C. blanchetianus. The real gain (RG) of the population was significantly negative (-93.91% year-1) since the number of dead individuals was much higher than the recruited ones in the population. The highest height class, composed of individuals of 4.1 to 5.0 m height, was the most tolerant to water scarcity, resulting in 53.85% of surviving individuals. Therefore, the results demonstrated that periodic droughts compromise the recruitment, development, survival, and establishment of individuals in natural systems in the Brazilian semi-arid region.

1. Introduction

Caatinga is the predominant vegetation of the semi-arid region. It is potentially susceptible to climate changes, leading to intensified thermal regimes, thereby reducing water availability [1] , which is considered as the climatic parameter that most influences the vegetation. The IPCC’s fourth report states that the increase in the average temperature of the Earth over the last hundred years is the result of anthropic activities, mainly related to the burning of fossil fuels and tropical forests [2] . In Pernambuco, climate changes caused a rise of 4˚C in the maximum daily temperature from 1961 to 2009 and an average reduction of 275 mm in the total annual rainfall. In this state, the annual decrease in rainfall was followed by an increase in the maximum drought periods from 20 to 35 days and increase in frequency of intense precipitation events from five to nine events per year [3] .

The little information on the forest dynamics in dry conditions led researchers, like [4] , to state that seasonal dry forests have lower dynamic rates than rainforests. However, studies carried out in regions of dry climates have shown that, in these regions, there are also high rates of recruitment and mortality [5] [6] . In dry seasonal forests, disturbances related to sporadic precipitation change dynamic rates, especially in relation to the increase in mortality of individuals [7] .

Several studies have demonstrated that, among the species of the Caatinga, Croton blanchetianus Baill. plays an important role in the dynamic processes in this biome. Thus, among the main results of number of individuals, the density, frequency, and importance and cover values stand out in the phytosociological parameters of adult and regenerating communities in environments at different levels of conservation [8] [9] [10] [11] .

According to [12] , like Croton heliotropiifolius Kunth, C. blanchetianus also has characteristics related to water economy, such as dense indument and the presence of phenolic compounds, which can be interpreted as adaptations to the Caatinga semi-arid environment. The variation in water availability (lack and excess) is a factor that causes stress to the Caatinga plants [13] , so the variations in this resource is a determining factor in the dynamic processes in this region.

Studies on the vegetation dynamics of caatingaas affected by prolonged droughts are scarce. These studies are important because they allow the monitoring and forecasting of transformation processes in populations and plant communities after natural or anthropic disturbances [14] [15] . This is the first study evaluating the population dynamics of C. blanchetianus in an adult community with data on mortality and recruitment rates in relation precipitation variations over time.

Therefore, this study aimed to assess mortality and recruitment rates of a population of Croton blanchetianus Baill., in a two year interval (January/2013 to January/2015), in an area of caatinga in the semi-arid Paraiba. The findings of this study are important information for strategies of vegetation conservation in ecosystems of this environment.

2. Material and Methods

2.1. Study Area

The study was conducted in the Cariri Region, municipality of Sumé, Paraíba state (7˚39'38.8"S and 36˚53'42.4"W; 538 m of altitude). According to the [16] , the current population of Sumé is estimated at 16,060 people. The land area encompasses 864 km2, is located at an altitude of 532 m above sea level and 250 km of João Pessoa, state capital.

The climate is characterized by low rainfall and high temperatures, causing high evaporation rates. The dry season is between June and January, with an average temperature of 24˚C, and average annual insolation index of 2800 hours. The soil and subsoil have low permeability, and the predominant vegetation is a dense hyperxerophilic caatinga, of the shrub-tree type, typical of the Cariri Region [17] [18] .

The study was carried out within the limits of the municipality of Sumé, comprising an area of 1.02 ha (Figure 1). The climate in this area is classified as BSh type and described as hot semi-arid [19] , and the vegetation is characterized as caatinga. The history of use and occupation shows that the area underwent anthropic interference and was in the initial process of secondary succession, with six years of isolation for research purposes.

2.2. Data Collection and Analysis

Monitoring of structural changes in the vegetation was carried out in plots 96 contiguous of 10 × 10 m. Inclusion criteria were to sample live and dead-standing individuals with stem diameter at ground level (DGL) ≥ 3 cm and total height ≥ 1 m. Individuals were marked with numbered labels. Girths at ground level were measured with a tape and then converted into diameter. Plants with multiple trunks had every branch that met the inclusion criteria measured. The height of the individuals was determined with a 4-m measuring stick. For taller individuals, height estimates were made by comparison with the stick.

The field data were summarized in a Microsoft Excel® spread sheet 2010 to characterize the following parameters: number of individuals, basal area (BA), absolute and relative density (AD and RD), absolute and relative frequency (AF and RF) and absolute and relative dominance (ADo and RDo) [20] . From the related parameters were calculated the importance value (IV) and the cover value (CV). The analyzed parameters are described below with their respective formulas.

Basal area

BA = P 2 /


P = perimeter of the stem of an individual (cm)

Absolute density

Figure 1. Picture of the plots distributed in the experimental area, in the municipality of Sumé, semi-arid region of Paraiba.

ADi = Ni / A


ADi = Absolute Density of species i

Ni = number of individuals of species i

A = area sampled in hectare

Relative density

RDi = ( Ni / Nt ) × 1 00


RDi = Relative Density of species i

Ni = number of individuals sampled from species i

Nt = total number of individuals sampled from all species

Absolute Frequency

AFi = ( ni / Nt ) × 1 00


AFi = Absolute frequency of species i

ni = number of plots with species i

Nt= total number of plots sampled

Relative Frequency

RFi = ( AFi / Σ AFa ) × 1 00


RFi = Relative frequency of species i

AFi = Absolute frequency of species i

ΣAFa = sum of the absolute frequencies of all species

Absolute Dominance

ADoi = BAi / A


ADoi = Absolute Dominance of species i (m2/hectare)

BAi = Basal area of species i (m2)

A = total area sampled (hectare)

Relative Dominance

RDoi = ( BAi / BAt ) × 100


RDoi = Relative Dominance of species i

BAi = Basal area of species i (m2)

BAt = sum of basal areas of all species sampled.

Value of Importance

VI = RFi + RDi + RDoi


VI = Import Value of species i

RFi = Relative frequency of species i

RDi = Relative Density of species i

RDoi = Relative Dominance of species i

Coverage value

CVi = RDi + RDoi


CVi = Coverage value of species i

RDi = Relative Density of species i

RDoi = Relative Dominance of species i

In 2015, in the same month of the initial sampling, all live individuals present in the same 96 plots were measured by the same inclusion criteria. All individuals which emerged or had not met the inclusion criteria were considered as recruited. Individuals marked in 2013 which were no longer alive or have not been found in 2015 were considered as dead. The difference between the numbers of individuals in 2013 and in 2015 was named population real gain and corresponds to the difference between dead and recruited individuals.

Rates were calculated for mortality (M), recruitment (R) and real gain (GR), using the algebraic equation of annual rates [21] , according to the following equations:

M = { 1 [ ( N 0 m ) / N 0 ] 1 / Δ t } 1 00

R = { [ ( N 0 + r ) / N 0 ] 1 / Δ t 1 } 1 00

GR = { [ ( Nr / N 0 ) ] 1 / Δ t 1 } 1 00

where N0 is the number of individuals in the first survey, m is the number of dead individuals in the time interval, r is the number of individuals recruited, Δt is the time interval between the surveys (t1 − t0) and Nr is the number of individuals in the second survey.

The individuals were also stratified by height classes with an interval of 1 m [22] .

3. Results and Discussion

The survey carried out in the study area, in 2013, sampled 2860 live standing individuals and 62 dead standing individuals. Live individuals were distributed among 13 species, 13 genera and 8 families (Table 1).

Among the total live individuals sampled 1078 were C. blanchetianus, corresponding to 1931 m2 BA. Absolute density was 1.122 ind ha1, and RD was 36.89%. Absolute frequency was 100%, Ado was 2.010 m2・ha1 and RDo was 21.13%. The CV was 58.02, and the IV value was 74.92.

Croton blanchetianus contributed with the largest number of individuals in the community, which resulted in the highest values of absolute and relative densities, having a wide distribution and occurring in all sampled plots. Because it is a shrubby species with small diameter, the BA was the second largest due to the large number of individuals, leading the population studied to the second place for the parameters ADo, RDo, IV and CV.

A comparison of the structure data of this study with those carried out semi-arid region of Paraiba and Pernambuco showed that C. blanchetianus stood out as one of the predominant species in these environments. A study carried out in the Private Reserve of the Natural Patrimony Fazenda Almas (PRNP) [23] , showed that the only species present in 100% of the sample units was C. blanchetianus, with the highest number of individuals (568) and importance value (63.54).

In the floristic and phytosociological survey of a vegetation community in the Cariri, [24] also found C. blanchetianus as one of the most dominant species, with 637 individuals and the third in importance value (35.60). In the municipality of Teixeira, hinterland of Paraiba, reported that the largest numbers of individuals and highest importance value belonged to this species [25] , indicating the importance of this tax on for the Caatinga ecosystem.

Considering the evaluation period started in 2013 and the last evaluation performed in this study in January 2015, a high mortality rate (M = 47.33% year1) was observed for the C. blanchetianus population. Initially composed of 1078 individuals, in January 2013, this species had its population reduced to 299

Table 1. List of families and species recorded in the floristic survey carried out in the Experimental area reserved for studies on caatinga ecology and dynamics of the laboratory of Ecology and Botany―LAEB/CDSA/UFCG), in the municipality of Sumé, Semi-arid region of Paraíba State.

plants in January 2015. In this period four new individuals were recorded, making this population with a recruitment rate (R) of only 0.18% ano1. When analyzing the real gain (RG) of this population, a significantly negative value (−93.91%) was observed, since the number of dead individuals was much higher than the number of recruited individuals in the population. These data are related to the high rainfall oscillations in recent years (Figure 2).

According to data from the last historical series, the average annual rainfall in the municipality of Sumé is 584.9 mm. It should be noted that in the years of 2012 and 2013 the rainfall was only 27 and 254.4 mm, respectively, with a period of rainfall below the annual average, especially in 2012 (Figure 3).

The total rainfall in 2014, which was above average for the region, did not caused changes in the dynamic context of the population regarding the permanence of live individuals within the system, given that the low rainfall in the two previous years caused a severe water stress that was not tolerated by the majority

Figure 2. Recruitment, mortality and real gain of Croton blanchetianus Baill. during two years of study in relation to precipitation variations in an area of Caatinga in the Semi-arid region of Paraíba, Brazil.

Figure 3. Average monthly and annual precipitation (mm) from 2012 to 2014. Sumé weather station (Latitude (degrees)―7.6736; Longitude (degrees)―36.8964), Cariri Region, Paraiba.

of the C. blanchetianus individuals, which became fragile until they died.

There are few definitions of the Caatinga biome’s functionality [26] , and therefore studies are necessary to understand the temporal and spatial influences in the population structure. Some of the key processes that determine forest dynamics are recruitment and mortality, these variables, are fundamental to describe the forest population [27] . However, in the Brazilian semi-arid region, this is the first study evaluating the population dynamics in adult communities with data on mortality and recruitment rates in relation to precipitation variations over time, with C. blanchetianus being the first species studied at this level of detail.

Changes in the diameter of the stem during the dry season, which can result in decreased cell turgor and water loss through transpiration, have been reported for this species [28] . However, during the dry period, it was observed growth in height, which may require the use of water stored in tissues, resulting in reduction of the stem diameter. Researchers have emphasized the need for knowledge on the relationship between precipitation pulse and inter-pulse events and their effect on physiological determinants of plant growth [29] .

The climate a major mortality agent in forest stands. The occurrence of drought or prolonged waterlogging may accelerate the death of aged, diseased or suppressed trees, and may also, although rarely cause death of healthy trees without the presence of such associated agents [30] .

A study of the natural regeneration of C. blanchetianus, with monthly evaluations over a year showed that there was no significant difference in the population growth rate between the dry and rainy seasons, and that the mortality rates were recorded during all monitoring period [31] . It is worth mentioning that during the evaluation period, these authors recorded 646.2 mm in the rainy season and 304.4 mm in the dry season. These values significantly differ from the pluviometric data found in our study.

Some studies have shown the adaptation of Caatinga plants to the Brazilian semi-arid climate. Regarding C. blanchetianus, studies showed that this species has stomata in the abaxial face at the same level of the other epidermal cells that are protected by the dense indumenta [12] . According to these authors, the fact that the stomata are protected by trichomes can reduce water loss through the leaf. Phenolic compounds, which are responsible for reducing the passage of light through epidermal cells, protecting the plant against excess solar radiation, were also found.

In evaluations of the variations of the in morphological and ecophysiological parameters of C. blanchetianus during a year, it was observed that the two well-defined seasons (dry and rainy) have adaptation and evolution strategies with the environment in which it is inserted, showing that C. blanchetianusis a species well adapted to the environment in which it is inserted [32] .

It is worth noting the lack of studies that evaluate the adaptation of Caatinga species such as C. blanchetianus, during periodic droughts, since, as it has already been shown, the few studies carried out to date deal only with seasonal droughts, which do not cause significant stress to the populations. In dry environments, such as the Caatinga, it is possible reductions in densities of communities in periods of severe droughts [33] .

However, it is necessary to intensify studies focusing on population dynamics in areas of Caatinga, providing data to help understanding the increased mortality caused by environmental changes.

Regarding the distribution of individuals per height class, it was found that 66.14% of the population was distributed between classes 2.1 and 3.0 m, and only 1.20% of the population was distributed within the highest height class, i.e., between 4.1 and 5.0 m. The highest height class stood out especially for comprising individuals that are most resistant to water scarcity, representing 53.85% of the survivors of the study population. The lowest rate of survivors was found in the lowest height class, between 1 and 2 m (Figure 4).

It is worth noting that the second height class of lower resistance to water scarcity, i.e., between 2.1 and 3.0 m, comprised 66.14% of individuals recorded in 2013, which contributed significantly to the high population mortality. The biased relation of the greatest survivor index with the highest height class (Figure 4) may be related to the greater development of the root system and consequently better conditions of resource acquisition.

The biological activities of many species are interfered by the difference in environmental conditions, which affects the development of the plant [22] [28] [34] . Thus, the fact that some individuals can use a scarce resource (water) in the

Figure 4. Class height (m) of surviving Croton blanchetianus Baill. individuals January 2013 to January 2015, in a Caatinga area of the semi-arid region of Paraiba, Brazil.

dry season, both for the maintenance of daily metabolic activities and for growth, points out the possibility of differences in the competitive ability among the individuals [28] , and this needs to be defined as plant populations for a better orientation of the species management.

Croton blanchetianus is a pioneer species, very frequent and with high density in the Caatinga. According as researchers [35] the pioneer species have a high rate of mortality because the trees in tropical forests are more susceptible to senescence, drought, competition, the action of fungi and bacteria, or a combination of these factors.

4. Conclusion

The initial structural characterization of the adult community evaluated here defined C. blanchetianus with high representativeness. However, the temporal monitoring for the evaluation of the dynamics of this population showed that the periodic drought compromised the recruitment, development, survival, and establishment of the individuals, reducing their population, which expressed a high mortality rate and a low recruitment rate. The highest height class is the most tolerant to water scarcity, resulting in 53.85% of surviving individuals. Therefore, the data obtained in this study are relevant for the definition of the key species dynamics in the Caatinga in the semi-arid region of Brazil.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Vieira de Lacerda, A. , Pereira de Lima, J. , Jacinto de Oliveira Nunes, T. , Gomes, A. , Seixas Maia Dornelas, C. , Morais de Alcântara, H. and Maria Barbosa, F. (2018) Population Dynamics of Croton blanchetianus Baill. in a Caatinga Area in the Brazilian Semi-Arid. American Journal of Plant Sciences, 9, 920-932. doi: 10.4236/ajps.2018.94070.


[1] Marengo, J.A. (2008) Vulnerability, Impacts and Adaptation to Climate Change in the Brazilian Semi-Arid. Strategic Partnerships, Brasília.
[2] Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M. and Miller, H.L. (2007) Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York.
[3] Nobre, P. (2011) Climate Change and Desertification: The Challenges for the Brazilian State. In: Lima, R.C.C., Cavalcante, A.M.B. and Perez-Marin, A.M., Eds., Desertification and Climate Change in the Brazilian Semi-Arid Region, INSA, Campina Grande, 25-35.
[4] Phillips, O.L., Hall, P., Gentry, A.H., Sawyer, S.A. and V’asquez, R. (1994) Dynamics and Species Richness of Tropical Rain Forests. Proceedings of the National Academy of Sciences of the United States of America, 91, 2805-2809.
[5] Swaine, M.D., Lieberman, D. and Hall, J.B. (1990) Structure and Dynamic of a Tropical Dry Forest in Ghana. Vegetation, 88, 31-51.
[6] Bunyavejchewin, S. (1999) Structure and Dynamics in Seasonal Dry Evergreen Forest in Northeastern Thailand. Journal of Vegetation, 10, 787-792.
[7] Dickinson, M.B., Hermann, S.M. and Whigham, D.F. (2001) Low Rates of Background Canopy—Gap Disturbance in a Seasonally Dry Forest in the Yucatan Peninsula with a History of Fires and Hurricanes. Journal of Tropical Ecology, 17, 895-902.
[8] Lacerda, A.V. (2007) Floristic, Phytosociological Characterization and Analysis of the Relationship between the Species Distribution and the Distance of the Margin of Intermittent Streams in the Catchment Area of the Taperoá River, Semi-Arid Paraíba, Brazil. UFSCar, Sao Carlos, 120 p.
[9] Holanda, A.C., Lima, F.T.D., Silva, B.M., Dourado, R.G. and Alves, A.R. (2015) Vegetation Structure Caatinga in Remaining from Different with Historical Disturbance in the Region of Cajazeirinhas—PB. Caatinga Journal, 28, 142-150.
[10] SOUZA PF (2016) Structural Floristic Diagnosis of Caatinga in Altitudinal Gradients in the State of Paraíba. PPG/EFL. UB, Brasília, 108 p.
[11] Farias, S.G.G., Rodal, M.J.N., Melo, A.L., Silva, M.A.M. and Lima, A.L.A. (2016) Physiognomy and Vegetation Structure in Different Environments of “Caatinga” in “Serra Talhada” Pernambuco State, Brazil. Forest Science, 26, 435-448.
[12] Barros, I.O. and Soares, A.A. (2013) Anatomical Adaptations in Leaves of the Marmeleiro and Velame of the Brazilian Caatinga. Revista Ciência Agronomica, 44, 192-198.
[13] Araújo, E.L., Castro, C.C. and Albuquerque, U.P. (2007) Dynamics of Brazilian Caatinga: A Review Concerning Plants, Environment and People. Functional Ecosystems and Communities, 1, 15-28.
[14] Sheil, D., Jennings, S. and Savill, P. (2000) Long-Term Permanent Plot Observations of Vegetation Dynamics in Bundongo, a Ugandan Rain Forest. Journal of Tropical Ecology, 16, 665-882.
[15] Gomes, A.P.C., Souza, A.L. and Meira-Neto, J.A.A. (2004) Structural Alteration of a Conventionally Exploited Forest Area in the Paraíba do Sul Basin, Minas Gerais, in the Atlantic Forest Domain. Tree Journal, 28, 407-417.
[16] IBGE (2010) Demographic Census 2010.
[17] Paraíba (1985) Secretary of Education/Federal University of Paraíba. Geographic Atlas of the State of Paraíba, Grafset, Joao Pessoa.
[18] Sebrae (1996) Micro and Small Business Support Service of Paraíba. Employment and Income Program: Sumé, Joao Pessoa.
[19] Cadier, E., Freitas, B.J. and Leprun, J.C. (1983) Experimental Basin of Sumé: Installation and First Results. Sudene, Recife.
[20] Mueller-Dombois, D. and Ellenberg, H. (1974) Aims and Methods of Vegetation Ecology. John Wiley and Sons, New York.
[21] Sheil, D., Burselen, D.F.R.P. and Alder, D. (1995) The Interpretation and Misinterpretation of Mortality Rate Measures. Journal of Ecology, 83, 331-333.
[22] Rodal, M.J.N., Costa, K.C.C. and Silva, A.C.B.L. (2008) Vegetation Structure of the Thorny Deciduous Woodland (Caatinga) in an Area of Central Sertao of Pernambuco. Hoehnea, 35, 209-217.
[23] Barbosa, M.R.V., Lima, I.B., Lima, J.R., Cunha, J.P., Agra, M.F. and Thomas, W.W. (2007) Vegetation and Flora in the Cariri Region of Paraíba. Oecologia Brasiliensis, 11, 313-322.
[24] Pereira Júnior, L.R., Andrade, A.P. and Araújo, K.D. (2012) Floristic and Phytosociological Composition of a Caatinga Fragment in Monteiro, PB. HOLOS Journal, 6, 73-87.
[25] Leite, J.A.N., Araújo, L.V.C., Arriel, E.F., Chaves, L.F.C. and Nóbrega, A.M.F. (2015) Quantitative Analysis of the Caatinga Woody Vegetation in Teixeira, PB. Research and Brazilian Flora, 35, 89-100.
[26] Cavalcanti, A.D.C., Rodal, M.J.N., Sampaio, E.V.S.B. and Costa, K.C.C. (2009) Floristic and Structural Changes after Five Years in a Community of Caatinga in the State of Pernambuco, Brazil. Acta Botanica Brasilica, 23, 1210-1212.
[27] Lewis, S.L., Phillips, O.L., Sheil, D., Vinceti, B., Baker, T.R., Brown, S., Graham, A.W., Higuchi, N., Hilbert, D.W., Laurance, W.F., Lejoly, J., Malhi, Y., Monteagudo, A., Vargas, P.N., Sonke, B., Terborgh, J.W. and Martinez, R.V. (2004) Tropical Forest Tree Mortality, Recruitment and Turnover Rates: Calculation, Interpretation and Comparison When Census Intervals Vary. Journal of Ecology, 92, 929-944.
[28] Araújo, E.L., Martins, F.R. and Santos, F.A.M. (2010) Ontogenetic Stages and Variations in Annual Stem Growth of Two Woody Species in an Area of Caatinga Vegetation, Pernambuco. In: Albuquerque, U.P., Moura, A.N. and Araújo, E.L., Eds., Biodiversity, Economic Potential and Eco-Physiological Processes in Northeastern Ecosystems, UFRPE, Bauru, 337-410.
[29] Andrade, A.P., Souza, E.S., Silva, D.S., Silva, I.F. and Lima, J.R.S. (2006) Animal Production in the Caatinga Biome: Paradigms of Pulses-Reserves. Brazilian Journal of Animal Science, 35, 138-155.
[30] Vanclay, J.K. (1994) Modelling Forest Growth and Yield: Applications to Mixed Tropical Forests. CAB International, Wallingford, UK.
[31] Nascimento, I.S., Santos, J.M.F.F. and Araújo, E.L. (2011) Dinamica regenerativa de Croton Blanchetianus Baill (Euphorbiaceae) em uma área antropizada da caatinga. In: Seabra, G. and Mendonca, I., Eds., Educacao ambiental: Responsabilidade para a conservacao da sociobiodiversidade, UFPB, Joao Pessoa, 48-52.
[32] Granja, J.A.A. (2013) Morpho-Physiological Adaptations of Croton Blanchetianus Bail in Semi-Arid Conditions of Pernambuco. UFPE, Recife, 68.
[33] Worbes, M. (1999) Annual Growth Rings, Rainfall-Dependent Growth and Long-Term Growth Patterns of Tropical Trees from the Caparo Forest Reserve in Venezuela. Journal of Ecology, 87, 391-403.
[34] Maracajá, P.B., Batista, C.H.F., Sousa, A.H. and Vasconcelos, W.E. (2003) Floristic and Phytosociological Survey of the Two—Environment Shrub—Tree Extract in Vila Santa Catarina, Serra do Mel, RN. Journal of Biology and Earth Science, 3, 1-13.
[35] Swaine, M.D., Hall, J.B. and Alexander, I.J. (1987) Tree Population Dynamics at Kade, Ghana (1968-1982). Journal of Tropical Ecology, 3, 331-345.

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