rod
Rodriguésia
Rodriguésia
2175-7860
0370-6583
Instituto de Pesquisas Jardim Botânico do Rio de Janeiro
Resumo
As plantas tropicais exibem quase todos os tipos de respostas fenológicas conhecidas, variando de eventos quase contínuos aos explosivos breves, e de total sincronia à completa assincronia. Essa ampla variedade de padrões fenológicos está relacionada à alta biodiversidade e às diferentes interações com fatores abióticos e bióticos, como as interações planta-polinizador. Portanto, mudanças nesses fatores influenciam a fenologia das plantas e diferenças nas respostas fenológicas podem impactar o sucesso reprodutivo da espécie a aptidão das plantas. Analisou-se a variação interespecífica na ecologia reprodutiva (fenologia da floração, briologia floral, sistemas reprodutivos e polinização) de 10 espécies de Myrtaceae em floresta ciliar, na Chapada Diamantina, Brasil. Avaliaram-se os padrões e estratégias de floração, considerando a frequência e duração da fenofase a partir de observações mensais e de acordo com a escala semiquantitativa de Fournier; também analisaram-se a biologia floral, visitantes florais e conduziram-se experimentos de polinização (autopolinização autônoma, autopolinização manual, polinização cruzada manual e polinização natural/aberta) e calcularam-se os índices de autoincompatibilidade (SII) e autogamia (AI). A maioria das espécies apresentou floração anual, com duração de 1 a 5 meses, alta sincronia e estratégia do tipo pulsed-bang (i.e., floração massiva concentrada em poucos dias intercalados por um intervalo de tempo). Os padrões se repetiram entre espécies congêneres, exceto em Myrcia spp., em que metade das espécies foi classificada como “pulsed bang” e as demais apresentaram estratégia “big bang”. A estratégia de floração parece estar relacionada com o padrão de desenvolvimento das inflorescências, produção dos botões, duração e sincronia da floração dos indivíduos. Abelhas foram consideradas os polinizadores. A maioria das espécies foram auto-incompatíveis e alogâmicas. Em geral, as espécies ofertaram grandes quantidades de flores em pequenos intervalos temporais, favorecendo cruzamentos entre indivíduos com sincronia precisa.
Introduction
Phenological patterns can be defined at different organizational levels - from communities to individuals - and are closely linked to biotic (e.g., plant-pollinator interactions) and abiotic (e.g., climatic variables) factors (Newstrom et al. 1994; Williams-Linera & Meave 2002; Stevenson et al. 2008). In tropical regions, precipitation, and photoperiod have demonstrated high relevance to phenology (Borchert et al. 2015; Mendoza et al. 2017; Souza & Funch 2017; Costa et al. 2021), affecting the duration, seasonality, and, most notably, the synchronicity of reproductive seasons (Morellato et al. 2016). The complexity of these relationships highlights the need for detailed research on the phenological triggers in tropical regions (Mendoza et al. 2017).
Considering that plant phenology is driven, in part, by biotic factors, temporal and spatial variations in reproductive phenology will directly affect the availability of resources for pollinators and seed dispersers, and thus, the reproductive success of tropical plant populations (Newstrom et al. 1994; Cortés-Flores et al. 2017) because of their greater dependence on animals for pollination and seed dispersal services (Ollerton et al. 2011) and the importance of the synchronization of those reproductive phenophases with favorable abiotic and biotic conditions (Elzinga et al. 2007; Carstensen et al. 2014; Rosas-Guerrero et al. 2014). As such, interspecific variations in flowering patterns can affect the stability of communities and the productivity of plant systems (Morellato et al. 2016). Flowering phenology is therefore highly relevant to the organization and structure of plant communities, the conservation of mutualists and their interactions, and the maintenance of essential ecosystem services. The analyses of the reproductive ecology of plant species can aid our understanding of phenological differences (or similarities) and identify other selective forces (such as competition or facilitation), particularly among “phenospecies” - sympatric species that share the same phenological triggers and strategies (Proença et al. 2012; Morellato et al. 2016).
Many tropical trees exhibit brief flowering strategies (< 30 days) (Augspurger 1981; van Schaik et al. 1993; Newstrom et al. 1994; Bendix et al. 2006), resulting in mass and concentrated flowering (“big bang” or “pulsed bang”) with high synchrony between conspecific individuals - a strategy that favors cross-pollination and gene flow within natural plant populations (Proença & Gibbs 1994). Similarly, Staggemeier et al. (2010; 2015) demonstrated that flowering synchrony tends to increase with phylogenetic proximity in monophyletic groups, reflecting the evolutionary inheritance of their reproductive phenological niche.
Pollination systems can be affected by co-flowering species, aspects of the breeding system, and the diversity and availability of pollinators (Ramirez 2005). Plants with different pollination systems may exhibit flowering strategies linked to the needs of specific pollinators. Albor et al. (2020), Bergamo et al. (2020b), and Genini et al. (2021), however, noted a lack of studies addressing floral similarity among co-flowering species that share the same pollination systems and pollinators, as well as the potential influence of flower abundance on the synchronicity and temporal organization of resources in tropical forests. Such knowledge would allow us to better understand the roles of phenodynamics and breeding systems on plant success.
Myrtaceae comprises approximately 6,000 species, distributed across 140 genera, with South America being one of its primary diversity hotspots (Wilson 2011; Lucas et al. 2019) with the identification of 1,195 species in Brazil (Proença et al. 2022). Despite the importance of this botanical family to the floristic composition of several Brazilian biomes (such as the Atlantic Forest, Cerrado, and Caatinga) (Forzza et al. 2012; Sobral et al. 2015; BFG 2018), little is known about its biology, interspecific phenological aspects, and reproductive ecology - especially when considering the wide variation in the breeding systems of its component taxa (e.g., self-incompatibility, self-compatibility, spontaneous self-pollination, and apomixes) (Proença & Gibbs 1994; Nic Lughadha & Proença 1996; Nic Lughadha 1998; Torezan-Silingardi & Oliveira 2002; Vilela et al. 2012). Most of the studies on reproductive systems in this family evaluated a single or just a few species, with rare studies focusing on several species of the same group (e.g., congeneric species; Nic Lughadha 1998; Silva & Pinheiro 2009) or an entire plant community (e.g., Proença & Gibbs 1994; Fidalgo & Kleinert 2009). Such studies have demonstrated the occurrence of variations among the reproductive system of congeneric species, between phytophysiognomies of the same biome (Proença & Gibbs 1994), and even between congeneric species of the same phytophysiognomy (Silva & Pinheiro 2009).
Neotropical phenological studies associated with pollination and seed dispersal also tend to focus on one or just a few species, making it difficult to test hypotheses regarding the causes of certain phenological patterns and to analyze the variability of interspecific reproductive strategies (Williams-Linera & Meave 2002; Goulart et al. 2005; Elzinga et al. 2007). We therefore analyzed the flowering phenology of 10 Myrtaceae species in a gallery forest in the Chapada Diamantina Mountains in northeastern Brazil, and discuss here their phenological variations and diversity. Additionally, we evaluated the floral biology, pollination, and breeding systems of five Myrtaceae species to address the following questions: 1) Are their flowering patterns seasonal and associated with abiotic factors? 2) Do flowering strategies differ among the species? 3) What are the floral visitors and potential pollinators? 4) What are the reproductive systems of the species? We expected to identify links between flowering patterns, rainfall, and photoperiod (Borchert et al. 2015; Mendoza et al. 2017; Souza & Funch 2017; Costa et al. 2021), and to observe similar flowering strategies among the species evaluated and highly overlapping phenophases (Morellato et al. 2016). We also expected bees to act as effective pollinators and be responsible for ensuring the reproductive success of self-incompatible species (Proença & Gibbs 1994).
Materials and Methods
Study sites and sampled species
The present study was conducted along a trail approximately 3 km long that passed through a narrow strip of gallery forest (15 to 25 m wide) following the Lençóis River and growing on shallow, rocky, dystrophic, and litholic neosols, at 400-500 m a.s.l., in the municipality of Lençóis, in the Chapada Diamantina Mountains (12º33’S-41º24’W and 12º32.8’S-41º25.5’W) in Bahia state, which is part of the larger Espinhaço Range in northeastern Brazil. The region shows a high floristic diversity associated with various vegetation types, including evergreen forests growing along riverbanks and on mountain slopes (Funch et al. 2008, 2009). The upper canopy of this gallery forest is formed by trees up to 10 m tall, with some emergent individuals up to 20 m tall; the discontinuous sub-canopy, ranging in height from 3.5 m to 8.0 m, includes several species of Myrtaceae (Funch et al. 2008). The region has a relatively humid tropical climate (type Aw by the Köppen system), with a rainy season concentrated in the Austral summer (from December to April) and a dry winter season (from July to August). The mean annual precipitation varies between 700 and 1,300 mm (Alvares et al. 2013), with mean monthly precipitation rates generally varying from 35 mm (July and August) to 184 mm (December). The mean monthly temperature varies from 18 ºC (April to September) to 22 ºC (October to February) (Alvares et al. 2013). During the study period (2005-2006), rainfall during January and February/2006 was considerably lower than in 2005, but considerably higher in October/2006 than in 2005 (Fig. 1). A total of 102 tree species belonging to 39 families have been identified in the gallery forest along the Lençóis River, with Myrtaceae contributing 15 species to the sub-canopy (Funch et al. 2008). This study focused on 10 Myrtaceae shrub-tree species (Appendix S1, available on supplementary material <10.6084/m9.figshare.25923958>) that occur with high abundances in the study area (Funch et al. 2008): Blepharocalyx salicifolius (Kunth) O.Berg, Eugenia gracillima Kiaersk., Eugenia punicifolia(Kunth) DC., Myrcia amazonica DC., Myrcia blanchetiana(O.Berg) Mattos, Myrcia neoregelianaE.Lucas & C.E.Wilson, Myrcia sylvatica (G.Mey.) DC., Myrciaria floribunda (H.West ex Willd.) O.Berg, Myrciaria glanduliflora (Kiaersk.) Mattos & D.Legrand, and Psidium brownianumMart. ex DC. A voucher specimen for each species was herborized and deposited in the HUEFS herbarium at the Universidade Estadual de Feira de Santana.
Figure 1
a-c. Climate data for the municipality of Lençóis, Chapada Diamantina, Brazil - a. historical annual total rainfall and temperature averages from 1987 to 2006 (INMET); b. monthly rainfall and temperature averages (Jan/2005 to Dec/2006); c. monthly average photoperiods (Jan/2005 to Dec/2006).
Environmental data
Environmental data for the study area (rainfall, temperature, and photoperiod) used to relate the phenological responses of the species with local climatic conditions were obtained from publically available datasets. Rainfall and temperature data were obtained from the National Institute of Meteorology (INMET - <https://portal.inmet.gov.br/>) and were based on the Lençóis Meteorological Station because of its proximity to the research site (1.41 km). Photoperiod data were obtained from the Astronomical Applications Department of the U.S. Naval Observatory (<http://aa.usno.navy.mil/data/docs/RS_OneYear.php>).
Flowering phenology
Ten adult reproductive individuals of each of the 10 focal Myrtaceae species (trees 5-15 m tall) were marked along a trail, varying from 15 to 25 m wide and approximately 3 km long, through the gallery forest. Phenological observations were made of those marked individuals every month for 24 months from January/2005 to December/2006, and daily during their respective reproductive periods. As proposed by Fournier (1974), the intensities of the phenophases (flower buds and flowers) were estimated using a semi-quantitative scale with five categories, at 25% intervals. We considered: a zero value of intensity (0), when a phenophase was absent; a value of one (1), when the phenophase were present at 1-25% of the observed total; two (2), when it was present at 26-50%; three (3), when it was present at 51-75%; and four (4), when the phenophases was present at 76-100% (Fournier 1974). The intensity of each phenophase is expressed as a percentage, according the five categories (San Martin-Gajardo & Morellato 2003). We evaluated the flowering patterns (flowering phenology) of each species, considering their frequency (the number of cycles per unit time), and duration (the period that an individual plant remains in a given phenophases) (Newstrom et al. 1994). The flowering strategies were classified according to Proença & Gibbs (1994). We considered that (i) the big-bang strategy occurs among species with synchronized mass flowering, with a duration of approximately one week; (ii) pulsed-bang flowering is discontinuous, and several days may pass when no flowers are open; and (iii) the steady-state flowering strategy involves relatively few flowers produced each day over a long period.
The seasonalities and synchronies of flowering during the observation period of the Myrtaceae species were tested using circular statistics (Morellato et al. 2010). For each year of observation, the frequency of occurrence of the phenological event of a given species in each month was calculated based on the total number of individuals showing that phenophase. The months were then converted to angles, where 15º = January, and the successive months were calculated at interval of 30º. We calculated basic parameters for circular distribution data (Morellato et al. 2010): i) the mean angle, which is similar to the linear mean, and represents the date mean associated with the phenological event; ii) concentration, which indicates how much of the observed data are concentrated around the mean; iii) angular standard deviation, which calculates the circular deviation around the mean angle; and iv) length of the r vector, which measures the concentration of frequencies around the estimated mean angle. Finally, we applied the Rayleigh test (z and p), which is used to test the uniform distribution of circular data. A uniform distribution of the observed dates over time (year) indicates the absence of seasonality; the concentration of dates (concentration of frequencies) around the mean date implies seasonality. Flowering was considered seasonal and synchronic if the vector length (r) was significantly greater or equal to 0.5 (r > 0.5 and p ≤ 0.05) (Zar 2010). Flowering with a significant mean angle (p < 0.05) was converted to a mean date, or the most probable date of the year that the species would be found in that phenophase. The Watson-Williams test was used to compare the mean dates (p < 0.05) of the study years and among the different Myrtaceae species (Zar 2010). The normality of phenological data was examined using the Shapiro & Wilk test (Zar 2010). Generalized linear models, based on Gaussian distributions, and identity link functions, were used to test the effects of precipitation and photoperiod (predictor variables) on flowering (monthly activity index - response variable) for each Myrtaceae species during each month of the year. Temperature data were excluded from subsequent analyses because of collinearity between temperature and photoperiod (Spearman correlation test r = 0.86). These analyses were performed using the “circular” package of R software (Agostinelli & Lund 2017).
Morphology and floral biology
Floral biology, pollination, and breeding system observations were conducted for B. salicifolius, E. punicifolia, M. neoregeliana, M. sylvatica, and P. brownianum, in addition to aspects of their inflorescence and floral morphology, such as the type and position of the inflorescence, flower length, and calyx and corolla size (Proença & Gibbs 1994). Due to the high synchronism of their flowering periods, we restricted morphological and floral biology measurements to only five of the 10 species studied. We closely observed the timing, sequence, and duration of anthesis of 20 pre-anthesis flower buds of each species (2-3 plants), from 00:00 to 17:00, for three consecutive days. We analyzed anthesis based on the classification used by Proença & Gibbs (1994), considering two types of floral anthesis: (i) the “Psidium” type, in which the stamens and style expand as the sepals and petals open; and (ii) the “Myrcia” type, in which the stamens remain completely curved while the style expands together with the sepals and petals. Stigma receptivity was evaluated by dipping the stigmas of 10 opened flowers per species into hydrogen peroxide and subsequently evaluating peroxidase activity (Dafni et al. 2005). Pollen availability (i.e., the number of open anthers with the presence of pollen) was assessed by observing five unbagged floral buds per species (2-3 plants) throughout the floral cycle. The presence and location of pigments that reflect ultraviolet rays and osmophores (scent glands) were tested on a total of 20 flowers (10 flowers/experiment) from 2-3 plants of each species. The presence of UV-absorbing pigments was investigated by placing flowers in an ammonium hydroxide atmosphere for less than 5 minutes (Wilson & Brown 1957, adapted by Bandeira et al. 2011). Osmophores were verified by immersing the flowers in neutral red (1%) for 10 minutes and then washing them with a solution of glacial acetic acid (5%) (modified from Vogel 1990). Additionally, the scents of the flowers were determined via the olfactory perceptions of the researchers throughout the day, during the period of anthesis.
Breeding systems
We performed pollination experiments for B. salicifolius, E. punicifolia, M. neoregeliana, M. sylvatica, and P. brownianum using the following treatments: 1) autonomous self-pollination (n = 10 individuals/species), in which autonomous pollen transfer was tested in 20-85 flowers per species, whose flower buds were isolated in pre-anthesis with voile bags; 2) hand self-pollination (n = 12 individuals/species), in which pollen grains from 20-65 flowers in pre-anthesis per species were manually transferred from the anthers to the stigmas of the same flowers, with the flowers then isolated with voile bags to prevent the access by floral visitors; 3) hand cross-pollination or xenogamy (n = 12 individuals/species), where pollen grains from 20-53 pre-anthesis flowers per species were manually transferred to the stigmas of the same number of other emasculated flowers on different individuals, which were then bagged to prevent the access by floral visitors; 4) natural pollination (n = 12 individuals/species), in which 30-64 pre-anthesis flowers per species were marked and left under natural conditions to test for natural pollen transfer by pollinators. The self-incompatibility (SII) and autogamy (AI) indices were then calculated (Ruiz-Zapata & Arroio 1978). The SII corresponds to the fruit/flower ratio produced by hand self-pollination divided by the fruit/flower ratio produced by hand cross-pollination. The AI was calculated by dividing the fruit/flower ratio produced by autonomous self-pollination by the fruit/flower ratio produced by hand cross-pollination. SII and AI assume values between 0 and 1, with values greater than 0.2 indicating self-compatibility and autogamy respectively (Ruiz-Zapata & Arroio 1978).
Approximately 10 hours after experimental pollinations, 3-5 flowers per treatment per species were fixed in 50% FAA (37% formaldehyde, acetic acid, 50% ethyl alcohol, 1:1:18 v/v) to test pollen grain germination. The pistils were rinsed in distilled water, treated with NaOH (10 N) at 60 °C for 10 minutes, transferred to distilled water overnight, cleared in 2% sodium hypochlorite for 1 h, rinsed in distilled water, and stained with 0.2% aniline blue (Kearns & Inouye 1993). Half of the pistil was placed on a microscope slide and compressed with a coverslip. Epifluorescence microscopy was used to verify of pollen grain germination (through the morphology and growth of the pollen tube bundles) and fertilization (Souza et al. 2015).
Floral visitors
Focal observations of floral visitors to B. salicifolius, E. punicifolia, M. neoregeliana, M. sylvatica, and P. brownianum were carried out from 5:00 to 17:00 h for 2-3 days, totaling 10-30 h per species (2-3 individuals/species) of observation on the duration and frequency of visits and foraging behavior (Rands & Whitney 2010). We considered floral visitors to be any animal that visited the flowers, without necessarily acting as a pollinator (Inouye 1980). Floral visitors were classified as effective pollinators or occasional pollinators based on their body size, visitation time, frequency and duration of visits, and foraging behaviors on the flowers. Criteria used to evaluate effective pollinators considered the following: (i) visitation during periods of stigmatic receptivity and pollen availability; (ii) high frequency of visits; and (iii) body size large enough to carry pollen grains and contact the stigma of flowers during visits. Occasional pollinators were visitors with body size and behaviors suitable for pollen transfer but with low visitation frequencies and/or durations (Inouye 1980). The frequency of visits was calculated by dividing the total number of visits for each visitor species by the total number of hours the visitors were observed. Floral visitors were filmed and photographed to record and aid in the descriptions of their behaviors. On one of the observation days, viewing areas of approximately of 0.5 m2 (Myrcia neoregeliana) and 1 m2 (Eugenia punicifolia and Myrcia sylvatica) were used because of the large number of concurrent visitors. Due to the difficulty in distinguishing Partamona sp. and Trigona spinipes in the field, the visitation numbers of these species were pooled. The insects were captured with an entomological net, mounted, and dried before being added as voucher specimens to the MZUEFS - Museu de Zoologia of the Universidade Estadual de Feira de Santana.
Results
Flowering patterns and strategies: interspecific variations
The Myrtaceae species in the tree community studied exhibited annual flowering patterns (Fig. 2; Tab. 1). Flowering duration ranged from brief to intermediate (40% for each class). Only Eugenia gracillima and Myrciaria floribunda (20%) exhibited extended flowering. In terms of flowering strategies, 70% of the Myrtaceae (Blepharocalix salicifolius, Eugenia gracillima, E. punicifolia, Myrcia amazonica, M. sylvatica, Myrciaria floribunda, and M. glanduliflora) displayed “pulsed bang” flowering (mass, discontinuous, and concentrated in approximately seven days with intervals); another 20% (Myrcia blanchetiana and M. neoregeliana) displayed “big bang” flowering (mass and concentrated in approximately seven days); and only 10% (Psidium brownianum) displayed “steady state” flowering (few flowers per day over a long period) (Tab. 1). The patterns were similar among congeneric species, except in Myrcia spp., in which half of the species were classified as having “pulsed bang” (Myrcia amazonica and M. sylvatica) and the other half “big bang” strategies (M. blanchetiana and M. neoregeliana) (Tab. 1). Psidium brownianum was the only species to show “steady state” flowering (at both population and individual levels), with a small number of flowers available each day (approximately 30 flowers). This number was less than the set of flowers from a single inflorescence of Myrcia neoregelianaor Myrcia sylvatica.
Figure 2
Flowering intensity (flower buds and flowers) of ten Myrtaceae species in a Gallery Forest, Chapada Diamantina, Brazil, recorded from Jan/2005 to Dec/2006.
Table 1
Phenological behavior of flowering in Myrtaceae species in terms of their frequency, duration, and flowering strategy, in the years 2005-2006, in Chapada Diamantina, Brazil. Frequency: A = annual or SA = supra-annual. Duration: B = brief, BI = brief to intermediate (interannual variation), I = intermediate, IE = intermediate to extended (interannual variation), and E = extended (according to Newstrom et al. 1994). Flowering strategies: B = “big bang”, BP = “big bang” to “pulsed bang” (interannual variation), P = “pulsed bang”, and S = “steady state” (according to Proença & Gibbs 1994, adapted from Gentry 1974).
Species
Population level
Individual level (%)
Frequency
Duration
Strategy
Frequency
Duration
Strategy
Blepharocalyx salicifolius
A
I
P
90A, 10SA
70B, 20I
100P
Eugenia gracillima
A
E
P
90A, 10SA
50BI, 30I, 10IE, 10E
40BP, 60P
Eugenia punicifolia
A
I
P
70A, 30SA
30B, 30BI, 40I
60B, 20BP, 10P
Myrcia amazonica
A
B
P
40A, 60SA
100B
100B
Myrcia blanchetiana
A
B
B
90A, 10SA
100B
100B
Myrcia neoregeliana
A
B
B
100A
100B
100B
Myrcia sylvatica
A
I
P
100A
100I
100P
Myrciaria floribunda
A
E
P
100A
10BI, 60I, 30IE
10BP, 90P
Myrciaria glanduliflora
A
B
P
90A, 10SA
100B
90B, 10BP
Psidium brownianum
A
I
S
100A
80B, 20I
100S
Seasonality, synchrony, and environmental triggers
In general, the flowering periods of the studied Myrtaceae species were concentrated during the rainy season (November to April). Circular statistics revealed that the flowering patterns were seasonal and synchronous, with exceptions being observed with Myrcia neoregeliana and Myrciaria glanduliflora in 2006 (Tab. 2 and Fig. 3). For the Myrcia species, the mean flowering date was from October to November. For Eugenia species, the mean flowering peak was between March and April, while for Myrciaria floribunda it was between February and March. The flowering peaks of Blepharocalyx salicifolius, Myrciaria glanduliflora, and Psidium brownianum, occurred in the same months in both research years (B. salicifolius and P. brownianum in December, and M. glanduliflora in January) (Tab. 2). The differences between the peak dates in 2005 and 2006 were not significant. However, there were significant variations in peak dates among the species evaluated, with greater variation observed in 2005 than in 2006 (Appendix S2, available on supplementary material <10.6084/m9.figshare.25923958>).
Flowering phenophases responses of Myrtaceae species to environmental factors were complex (Tab. 3). Except for Myrciaria floribunda, which did not respond to any of the environmental variables, all other species studied responded positively or negatively to photoperiod and/or rainfall variation. Only E. gracillima and E. punicifolia responded negatively to variations in environmental factors (rainfall and photoperiod). The other species responded positively to photoperiod (Tab. 3).
Floral biology
The flowers of the species studied here were small (2-6 mm long), with calyxes that were either open (Blepharocalyx salicifolius, Eugenia punicifolia, and Myrcia sylvatica) or closed (Myrcia neoregelianaand Psidium brownianum). The calyx had an operculum (P. brownianum) and four (B. salicifolius and E. punicifolia) or five (M. neoregelianaand M. sylvatica) lacinia. The corollas were white, with four (B. salicifolius, E. punicifolia, and P. brownianum) or five petals (M. sylvatica), hermaphroditic, and androecium formed by many stamens distributed around an erect central style. The flowers are arranged in terminal panicles (e.g., M. neoregeliana), axillary dichasia (e.g., B. salicifolius), or axillary panicles (e.g., M. sylvatica), with 3-5 flowers and a reduced peduncle (E. punicifolia), or with 1-4 flowers and opposite and solitary peduncles.
Table 2
Results of the circular analyses of the occurrence of seasonality in the flowering of Myrtaceae species during two years (2005 - top row, and 2006 - bottom row). N corresponds to the total frequency (total number of records) of the phenophase per year of study. r > 0.5 indicates synchrony. P < 0.05 indicates a statistic difference, according to Watson-Williams test (W). * = signal no significant values (p > 0.05).
Species
Statistic parameters
N
Mean angle
Mean date
Mean vector length (r)
Rayleigh test (p)
W (p)
Blepharocalyx salicifolius
30
344.23°
14 dez
0.81
< 0.01
1.49 (0.48)
23
351.69
21 dez
0.86
< 0.01
Eugenia gracillima
39
72.39°
14 mar
0.76
< 0.01
1.93 (0.38)
35
72.26°
14 mar
0.62
< 0.01
Eugenia punicifolia
30
89.14°
31 mar
0.82
< 0.01
5.65 (0.06)
20
114.68°
25 abr
0.86
< 0.01
Myrcia amazonica
34
282.23°
12 out
0.86
< 0.01
0.15 (0.93)
11
272.84°
02 out
0.92
< 0.01
Myrcia blanchetiana
30
287.74°
18 out
0.72
< 0.01
0.58 (0.75)
8
296.10°
27 out
0.92
< 0.01
Myrcia neoregeliana
10
330.00°
30 nov
1.00
< 0.01
0.00 (1.00)
2
330.00°
30 nov
1.00*
> 0.05
Myrcia sylvatica
27
294.65°
25 out
0.78
< 0.01
5.61 (0.06)
17
335.41°
05 dez
0.79
< 0.01
Myrciaria floribunda
54
51.57°
21 fev
0.52
< 0.01
2.80 (0.25)
44
60.69°
01 mar
0.68
< 0.01
Myrciaria glanduliflora
34
3.37°
04 jan
0.68
< 0.01
2.00 (0.37)
1
30.00°
31 jan
1.00*
> 0.05
Psidium brownianum
23
342.18°
12 dez
0.85
< 0.01
0.61 (0.74)
17
352.26°
22 dez
0.93
< 0.01
The anthesis of P. brownianum initiated near 06:00 h, while the other species initiated anthesis earlier (04:30-05:00 h). The process of opening lasted approximately 15 minutes, with longitudinal fissures (M. neoregeliana) giving rise to equal calyx lobes by transverse rupture of the calyptra, followed by irregular longitudinal fissures in the hypanthium, separation of the petals (P. brownianum), and separation of sepals and petals in the other species. The anthesis of E. punicifolia was of the “Psidium” type, in which the stamens and style expanded as the sepals and petals opened. In the other species, anthesis was of the “Myrcia” type, in which the stamens remained completely curved while the style expanded together with the sepals and petals (or only the sepals, e.g., M. neoregeliana).
The flowers of all species lasted for one day and provided pollen to visitors. The availability of pollen and receptivity of the stigma preceded the total opening of the flowers, coinciding with the onset of visitor activity (04:30-06:30 h). The flowers gave off a sweet scent in the early morning, which was emitted from the base of the petals, as indicated in tests with neutral red. All of the floral structures tested with ammonium hydroxide contained UV-absorbing pigments.
Table 3
Summary of generalized linear model analysis of climatic variables predicting the flowering phenologies of Myrtaceae species.
Species
Photoperiod
Rainfall
β
z or F value
β
z or F value
Blepharocalyx salicifolius
9.964
95.12***
0.0006949
0.037
Eugenia gracillima
-0.3226
0.18
0.014171
25.60***
Eugenia punicifolia
-1.8339
5.77*
0.005217
2.43
Myrcia amazonica
2.707
7.24*
-0.002709
0.37
Myrcia blanchetiana
2.844
9.09**
-0.0006439
0.03
Myrcia neoregeliana
409.3
0.01***
0.0007845
0.30
Myrcia sylvatica
4.130
17.93***
-0.004662
1.19
Myrciaria floribunda
0.2777
0.13
0.006941
3.95
Myrciaria glanduliflora
3.440
6.86*
0.009136
5.32*
Psidium brownianum
13.041
33.98***
-0.002517
0.25
***
= p < 0.001;
**
= p < 0.01;
*
= p < 0.05
Floral visitors
We recorded nine visitor species during our observations, eight of which were Hymenoptera (Tab. 4). All visitors acted as pollinators, as they came into contact with both floral reproductive structures. Six of these species were regarded as effective pollinators based on their visitation frequencies and foraging behaviors (Tab. 4). Only Xylocopa grisescens, Epicharis sp., and Syrphidae species were considered occasional (or rarely observed) pollinators. The species Apis mellifera, Melipona quadrifasciata anthidioides, Trigona spinipes, and Partamona sp. were common visitors to all of the Myrtaceae species studied (Tab. 4).
Maximum foraging activity occurred 5-10 minutes after full flower anthesis and abruptly decreased approximately 30 minutes before the end of the feeding period. On dry days, anthers (except P. brownianum) were completely emptied before 07:00 h. Megalopta sp. visited E. punicifolia flowers even earlier, concluding before 05:30 h. The duration of visits to P. brownianum were longer, possibly because of the small number of flowers available per day (Tab. 4).
Breeding systems
Fruit production by all of the species was significantly higher among flowers subjected to experimental cross-pollination than among those subjected to the other breeding system treatments (Tab. 5). Fruit production by P. brownianum by cross-pollination, for example, was almost triple that resulting from open pollination. Fruit production by M. sylvatica after open pollination was comparable to the number of fruits produced by experimental self-pollination. The Self-Incompatibility Index was lower than 0.2 in all of the species, except Myrcia sylvatica (Tab. 5). We observed the abortion of many fruits during their development.
In the experimental self-pollination and cross-pollination tests with flowers of B. salicifolius, E. punicifolia, M. sylvatica, and P. brownianum, pollen tubes developed within 24 h (Fig. 4a,c). Fertilization, however, was observed only in cross-pollination experiments (Fig. 4b). Few pollen tubes resulting from experimental self-pollination reached the ovaries (Fig. 4d). We observed bundles of pollen tubes growing through the style of P. brownianum and reaching the ovary less than 24 h after experimental self-pollination and cross-pollination (Fig. 4e). More fertilized ovules (Fig. 4f) were observed after cross-pollination than after experimental self-pollination. The ovules of all of the species were fertilized within 24 h. Seed formation in M. neoregeliana was initiated within 24 h of cross-pollination.
Table 4
Floral visitors of Myrtaceae in a Gallery Forest, Chapada Diamantina, Brazil: species, visitation frequency, and period. Pollinator categories (according to Inouye 1980), based on visitor behaviors and frequencies: E = effective pollinator; O = occasional pollinator. * = Observed by 1-2 researchers.
Species
Observations
Visitors
Total hours (days)
Schedules
Effective visiting hours*
Species
Frequency (%)
Pollinator category
Blepharocalyx salicifolius
15:30 (3)
5:30-5:45 and 8:15-8:30
11:30
Apis mellifera
4.0 (33.8)
E
Melipona quadrifasciata anthidioides
3.1 (26.5)
E
Partamona
sp. -
Trigona spinipes
4.5 (38.2)
E
Xylocopa grisescens
0.2 (1.5)
O
Syrphidae
0.2 (1.5)
O
Eugenia punicifolia
13:00 (2)
5:00-5:15 and 6:15-6:30
6:00 (for 1 m2)
Apis mellifera
2.7 (10.1)
E
Melipona quadrifasciata anthidioides
16.7 (63.3)
E
Partamona
sp. -
Trigona spinipes
3.0 (11.4)
E
Xylocopa grisescens
0.7 (2.5)
O
Megalopta
sp.
3.3 (12.7)
E
Myrcia neoregeliana
13:45 (3)
5:00-5:15 and 7:30-7:45
9:30 (5:00 for 0.5 m2)
Apis mellifera
10.2 (47.1)
E
Melipona quadrifasciata anthidioides
1.8 (8.3)
E
Partamona
sp. -
Trigona spinipes
8.8 (40.8)
E
Xylocopa grisescens
0.6 (2.9)
O
Epicharis
sp.
0.2 (1.0)
O
Myrcia sylvatica
10:00 (2)
5:00-5:15 and 7:15-7:30
5:00 (2:30 for 1 m2)
Apis mellifera
7.4 (30.1)
E
Melipona quadrifasciata anthidioides
6.6 (26.8)
E
Partamona
sp. -
Trigona spinipes
8.8 (35.8)
E
Xylocopa grisescens
0.6 (2.4)
O
Pseudaugochlora
sp.
1.2 (4.9)
E
Psidium brownianum
30:00 (3)
6:00-6:15 and 9:45-10:00
18:00
Apis mellifera
2.8 (18.4)
E
Melipona quadrifasciata anthidioides
2.5 (16.5)
E
Partamona
sp. -
Trigona spinipes
9.8 (65.1)
E
Discussion
Our results indicated that the Myrtaceae species studied here evidenced annual, intermediate, synchronous, and seasonal flowering patterns, which mostly responded to photoperiod variations; with massive blooming, discontinuous, and concentrated in approximately seven days (with intervals). Its pollen flowers opened at dawn, had bees as effective pollinators, and were mostly self-incompatible and allogamous.
In general, the Myrtaceae species studied here produced numerous flowers that were available for only a few consecutive or interspersed days. This strategy has likewise been observed in other Myrtaceae species (Proença & Gibbs 1994; Silva & Pinheiro 2007; Londe et al. 2021; Oliveira et al. 2021) and may be a widespread feature of the family. Most of the species evaluated (except Eugenia gracillima and Myrciaria glanduliflora) did not show strong correlations with precipitation rates. In riparian areas, where water is not a limiting factor, it is not surprising that other abiotic variables operate as flowering triggers (Borchert et al. 2004; Zimmerman et al. 2007). Similarly, when analyzing reproductive phenologies in gallery forests, Silva et al. (2011) found that most species flowered and fruited during the rainy season. Nonetheless, as demonstrated by Funch et al. (2002), the phenologies of riparian species appear to respond only weakly to soil moisture.
Table 5
Fruiting resulting from different pollination treatments of Myrtaceae flowers in a Gallery Forest, Chapada Diamantina, Brazil. The parentheses contain the number of plants used/fruited in each treatment. SII = self-incompatibility index (ratio of fruit set from self vs. crossed flowers). AI = autogamy index (product of fruit/flower ratio by autonomous self-pollination vs. hand cross-pollination). Self = self-pollination; cross = cross-pollination; natural (open) = natural (open) pollination.
Species / Treatment
Fruit / Flower
Fruit-set (%)
SII
AI
Blepharocalyx salicifolius
0.167
0.127
Autonomous self
2(1) / 79(2)
2.5
Hand self-
1(1) / 30(1)
3.3
Hand cross-
7(1) / 35(1)
20.0
Natural (open)
0 / 33(1)
0.0
Eugenia punicifolia
0
0
Autonomous self-
0 / 37(2)
0.0
Hand self-
0 / 28(2)
0.0
Hand cross-
11(1) / 29(1)
37.9
Natural (open)
0 / 50(1)
0.0
Myrcia neoregeliana
0.074
0.17
Autonomous self-
6(1) / 85(2)
7.1
Hand self-
2(1) / 65(2)
3.1
Hand cross-
22(1) / 53(3)
41.5
Natural (open)
0 / 64(2)
0.0
Myrcia sylvatica
0.314
0
Autonomous self-
0 / 78(2)
0.0
Hand self-
2(2) / 52(2)
3.8
Hand cross-
6(2) / 49(2)
12.2
Natural (open)
2(1) / 62(1)
3.2
Psidium brownianum
0.067
0.067
Autonomous self-
1(1) / 20(3)
5.0
Hand self-
1(1) / 20(3)
5.0
Hand cross-
15(3) / 20(3)
75.0
Natural (open)
8(3) / 30(5)
26.7
Thus, variables linked to day length appear to be the main signals for reproduction in riparian forests (Borchert et al. 2005; Silva et al. 2011). Only the phenologies of Eugenia gracillima and Myrciaria floribunda were not significantly correlated with photoperiod. The interannual photoperiod constancy would therefore explain, at least in part, the small interannual phenological variations observed, that is, the greater synchrony between years (Borchert et al. 2005; Luna-Nieves et al. 2017). When dealing with Myrtaceae, the possible conservation of the reproductive phenological niche must be considered as a possible result of the evolutionary inheritances of closely related species tending to flower under similar environmental conditions (Staggemeier et al. 2010, 2015), as verified by Londe et al. (2021) for Myrcia amazonica.
Despite the lack of correlation between the flowering of most species and precipitation, the observed seasonality of phenophases (rainy season) may be linked to the period in which pollinators and dispersers are abundant (van Schaik et al. 1993; Fidalgo & Kleinert 2009; Maia-Silva et al. 2015; Cortés-Flores et al. 2017; Bergamo et al. 2020a), suggesting facilitation interactions (Rathcke & Lacey 1985; van Schaik et al. 1993; Bergamo et al. 2020a, b; Genini et al. 2021). Thus, considering that most Myrtaceae species do not have a species-specific pollination mechanism (Gressler et al. 2006; Geethika & Sabu 2017), these interactions could be enhanced by the greater abundance of generalist pollinators during the rainy season (Hansman 2001), when the species studied here regularly bloom. In the case of montane tropical ecosystems, such as our study area in the Chapada Diamantina Mountains, this strategy of temporal synchronization of plant flowering with the greatest availability of pollinators would tend to increase the reproductive success of the Myrtaceae species studied, especially in light of natural limitations of pollinators in these environments (Bergamo et al. 2021).
Figure 3
Circular distribution of flowering Myrtaceae species in a Gallery Forest, Chapada Diamantina, Brazil. Observed and modeled circular distribution of flowering events for 2005-2006.
As stated by Primack (1987) and Singh & Kushwaha (2005), flowering and fruiting are dependent events, and the beginning of flowering usually determines the moment of fruiting. Environmental seasonality that is favorable to dispersal may therefore determine the flowering season. The seasonal white flowers of the Myrtaceae species studied here, for example, may promote greater pollinator attraction (i.e., bees), as suggested by Lunau et al. (2011), Cordeiro et al. (2019), Aguiar et al. (2020), and Martins et al. (2021).
Blepharocalyx salicifolius, Myrcia neoregeliana, Eugenia punicifolia, and Psidium brownianum were classified as self-incompatible and allogamous according to their SII and AI values, which were corroborated by pollen tube growth analyses (gametophytic self-incompatibility) (Richards 1997; Charlesworth 2010). The SII of Myrcia sylvatica indicated it as a self-compatible species, although its low fruit production suggests this result is not conclusive. Moreover, tests showed that despite pollen grain germination, pollen tube growth was aborted in the style, indicating gametophytic self-incompatibility (Takayama & Isogai 2005; Charlesworth 2010). Additionally, the absence of autogamy implies dependence on pollinators, which, according to Wolowski et al. (2016) and Bergamo et al. (2021), would be expected in tropical montane forests. Self-incompatible and synchronous flowering species increase their chances of reproductive success through the increased possibility of pollen transfer (Pires et al. 2013), possibly constituting an evolutionary response to biotic pressures (Augspurger 1981; van Schaik et al. 1993). Despite not being the focus of this research, we noticed certain aggregated spatial distributions of these populations in the study area associated with mass flowering (recorded for 90% of the evaluated Myrtaceae). Such spatial aggregation would facilitate crosses between neighboring plants (Carneiro et al. 2007; Moura et al. 2009) and may explain the lack of reproductive isolation over time, even for less synchronous species.
This combination of mass flowering and spatial aggregation of the Myrtaceae species evaluated can provide long-distance signaling of resource availability to bees (Wester & Lunau 2017), facilitating intense exploration of their pollen (Nadra et al. 2018). Within just a few hours after floral anthesis, bees had transported almost every gain of pollen. The same has been observed with other Myrtaceae species (Proença & Gibbs 1994; Silva & Pinheiro 2007; Fidalgo & Kleinert 2009; Cordeiro et al. 2017; Geethika & Sabu 2017; Guollo et al. 2021; Mudiana & Aryianti 2021; Oliveira et al. 2021). We can therefore assume that flowering in many Myrtaceae species does not occur within a few days, but rather within a few hours. From the perspective of the pollinators, this aspect certainly potentiates the disadvantages of foraging on distant individual plants (Nadra et al. 2018). Bergamo et al. (2020a, b), evaluating the facilitation mediated by pollination associated with flowering density and floral traits at the community level, showed that similar species (i.e., synchronous species having the same colored flowers) facilitate interspecific pollination and increase reproductive success, as suggested by the Sargent & Ackerly (2008) community structuring theory.
The broad predominance of self-incompatibility in Myrtaceae species in this gallery forest is in line with the results obtained by Proença & Gibbs (1994), where all Myrtaceae species in the same phytophysiognomy in another location were self-incompatible, with greater variation in the reproductive system of species growing in more open areas. The variation of the reproductive systems in the family are very great, however (Nic Lughada & Proença 1996; Torezan-Silingardi & Oliveira 2002), and the influences of the phylogenetic and environmental components in the determining the occurrence of self-incompatibility or any other such reproductive mode are not clear. The massive flowering of these species, however, associated with the low density of woody species typically observed in tropical forests, tends to result in high rates of pollinator-mediated self-pollination, and can lead to high selection pressure favoring exclusive allogamy. The inbreeding depression hypothesis (Charlesworth & Willis 2009) can also explain fruit production of less than 50% by experimental cross-pollination in Blepharocalyx salicifolius, Myrcia neoregeliana, and Eugenia punicifolia, as the treatments involved plants growing close to each other (because of mass flowering). Crosses between related plants increase the chances of deleterious recessive alleles being expressed and, consequently, lower fruit production (Richards 1997). The large number of aborted fruits observed with Myrcia neoregelianacould reflect that situation (Charlesworth & Willis 2009), although the analyses of the reproductive systems evidenced more abortions in self-pollination tests.
In contrast, the small number of flowers produced each day by each Psidium brownianum plant may contribute to cross-pollination. This hypothesis is supported by open pollination fruit production. Augspurger (1981) and Smith-Ramírez et al. (1998) claimed that pollinators exert selective pressure on flowering, affecting the intensity, timing, synchrony, and productivity of plants. The numerous flowers per inflorescence in Myrcia facilitate restricted foraging, especially by medium and large bees that visit groups of flowers (Fidalgo & Kleinert 2009; Pires & Souza 2011). The opposite is true for Psidium, whose flowers at anthesis are both spatially and temporally spread.
Figure 4
a. Bundles of pollen tubes growing through the style of Eugenia punicifolia (hand cross-pollination after 24 h). b. fertilized ovule of Blepharocalyx salicifolius (hand cross-pollination after 24 h). c. three pollen tubes growing inside the style of Myrcia sylvatica (hand self-pollination after 24 h). d. two pollen tube endings their growth in the style of M. sylvatica (hand self-pollination after 24 h). e. bundles of pollen tubes reaching the ovary of Psidium brownianum (hand self-pollination after 24 h). f. fertilized ovule of P. brownianum (hand cross-pollination after 24 h).
These aspects support the proposition that the “big bang” and “pulsed bang” flowering strategies of Myrtaceae can have serious implications for their reproduction and, consequently, for population evolution. If these strategies reduce gene flow between neighboring plants, that flow is likely to occur via seed dispersal. Therefore, it is necessary that the phenological behaviors of the “new members” matches those of the rest of the population. In cases of inter-population migration, temporally divergent flowering can serve as an efficient barrier to gene flow (Hauser & Weidema 2000). A dispersal study conducted on these same Myrtaceae populations (Fonseca 2008) indicated that, for most species, there is no (or only low) seed dispersal. If there is replication between neighboring populations, these groups may become isolated.
Finally, we concluded that: 1) the populations studied differed in terms of the flowering behaviors of their individual members; 2) flowering was synchronous, seasonal, and correlated with the photoperiod for most species; 3) the intrapopulation flowering strategy is related to the pattern of inflorescence development and bud production (uniform or gradual); 4) mass flowering for a few days (successive or not), together with spatial distribution patterns and pollinator behaviors, favor crossing between phenologically similar plants; 5) these strategies (“big bang” and “pulsed bang”), under these conditions, make intra- and especially interpopulation gene flow difficult; 6) the Myrtaceae species studied did not have conspecific groups that were reproductively isolated over time; and 7) most (or even all) of the species are self-incompatible, reducing autogamy and biparental inbreeding in massive flowering individuals. This may have future reproductive and evolutionary implications for populations, as partially suggested by the intrapopulation phenological similarities and the diversity of Myrtaceae species. Future studies on spatial distribution and phenological behaviors, gene flow, and spatial genetic structure may confirm these hypotheses.
Acknowledgements
The authors would like to thank the Fundação de Amparo à Pesquisa do Estado da Bahia for the doctoral study grant awarded to the first author; the Postgraduate Program in Botany of the Universidade Estadual de Feira de Santana for providing the infrastructure necessary for data processing; and the Fundação Chapada Diamantina for providing the infrastructure necessary for our fieldwork.
Data availability statement
In accordance with Open Science communication practices, the authors inform that all data are available within the manuscript.
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Autoria
Rosineide Braz Santos Fonseca
Instituto Federal de Educação, Ciência e Tecnologia Baiano, Campus Santa Inês, Zona Rural, Santa Inês, BA, Brazil.Instituto Federal de EducaçãoBrazilSanta Inês, BA, Brazil Instituto Federal de Educação, Ciência e Tecnologia Baiano, Campus Santa Inês, Zona Rural, Santa Inês, BA, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Prog. Pós-graduação em Botânica, Feira de Santana, BA, Brazil.Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Prog. Pós-graduação em Botânica, Feira de Santana, BA, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil. Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil. Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil.
Universidade Federal de Minas Gerais - UFMG, Instituto de Ciências Biológicas, Depto. Botânica, Belo Horizonte, MG, Brazil.Universidade Federal de Minas GeraisBrazilBelo Horizonte, MG, Brazil Universidade Federal de Minas Gerais - UFMG, Instituto de Ciências Biológicas, Depto. Botânica, Belo Horizonte, MG, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Prog. Pós-graduação em Botânica, Feira de Santana, BA, Brazil.Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Prog. Pós-graduação em Botânica, Feira de Santana, BA, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil. Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil.
Instituto Federal de Educação, Ciência e Tecnologia Baiano, Campus Santa Inês, Zona Rural, Santa Inês, BA, Brazil.Instituto Federal de EducaçãoBrazilSanta Inês, BA, Brazil Instituto Federal de Educação, Ciência e Tecnologia Baiano, Campus Santa Inês, Zona Rural, Santa Inês, BA, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Prog. Pós-graduação em Botânica, Feira de Santana, BA, Brazil.Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Prog. Pós-graduação em Botânica, Feira de Santana, BA, Brazil.
Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil. Universidade Estadual de Feira de SantanaBrazilFeira de Santana, BA, Brazil Universidade Estadual de Feira de Santana - UEFS, Depto. Ciências Biológicas, Lab. Flora e Vegetação, Feira de Santana, BA, Brazil.
Universidade Federal de Minas Gerais - UFMG, Instituto de Ciências Biológicas, Depto. Botânica, Belo Horizonte, MG, Brazil.Universidade Federal de Minas GeraisBrazilBelo Horizonte, MG, Brazil Universidade Federal de Minas Gerais - UFMG, Instituto de Ciências Biológicas, Depto. Botânica, Belo Horizonte, MG, Brazil.
Figure 1
a-c. Climate data for the municipality of Lençóis, Chapada Diamantina, Brazil - a. historical annual total rainfall and temperature averages from 1987 to 2006 (INMET); b. monthly rainfall and temperature averages (Jan/2005 to Dec/2006); c. monthly average photoperiods (Jan/2005 to Dec/2006).
Figure 2
Flowering intensity (flower buds and flowers) of ten Myrtaceae species in a Gallery Forest, Chapada Diamantina, Brazil, recorded from Jan/2005 to Dec/2006.
Figure 3
Circular distribution of flowering Myrtaceae species in a Gallery Forest, Chapada Diamantina, Brazil. Observed and modeled circular distribution of flowering events for 2005-2006.
Figure 4
a. Bundles of pollen tubes growing through the style of Eugenia punicifolia (hand cross-pollination after 24 h). b. fertilized ovule of Blepharocalyx salicifolius (hand cross-pollination after 24 h). c. three pollen tubes growing inside the style of Myrcia sylvatica (hand self-pollination after 24 h). d. two pollen tube endings their growth in the style of M. sylvatica (hand self-pollination after 24 h). e. bundles of pollen tubes reaching the ovary of Psidium brownianum (hand self-pollination after 24 h). f. fertilized ovule of P. brownianum (hand cross-pollination after 24 h).
Table 1
Phenological behavior of flowering in Myrtaceae species in terms of their frequency, duration, and flowering strategy, in the years 2005-2006, in Chapada Diamantina, Brazil. Frequency: A = annual or SA = supra-annual. Duration: B = brief, BI = brief to intermediate (interannual variation), I = intermediate, IE = intermediate to extended (interannual variation), and E = extended (according to Newstrom et al. 1994). Flowering strategies: B = “big bang”, BP = “big bang” to “pulsed bang” (interannual variation), P = “pulsed bang”, and S = “steady state” (according to Proença & Gibbs 1994, adapted from Gentry 1974).
Table 2
Results of the circular analyses of the occurrence of seasonality in the flowering of Myrtaceae species during two years (2005 - top row, and 2006 - bottom row). N corresponds to the total frequency (total number of records) of the phenophase per year of study. r > 0.5 indicates synchrony. P < 0.05 indicates a statistic difference, according to Watson-Williams test (W). * = signal no significant values (p > 0.05).
Table 4
Floral visitors of Myrtaceae in a Gallery Forest, Chapada Diamantina, Brazil: species, visitation frequency, and period. Pollinator categories (according to Inouye 1980), based on visitor behaviors and frequencies: E = effective pollinator; O = occasional pollinator. * = Observed by 1-2 researchers.
Table 5
Fruiting resulting from different pollination treatments of Myrtaceae flowers in a Gallery Forest, Chapada Diamantina, Brazil. The parentheses contain the number of plants used/fruited in each treatment. SII = self-incompatibility index (ratio of fruit set from self vs. crossed flowers). AI = autogamy index (product of fruit/flower ratio by autonomous self-pollination vs. hand cross-pollination). Self = self-pollination; cross = cross-pollination; natural (open) = natural (open) pollination.
imageFigure 1
a-c. Climate data for the municipality of Lençóis, Chapada Diamantina, Brazil - a. historical annual total rainfall and temperature averages from 1987 to 2006 (INMET); b. monthly rainfall and temperature averages (Jan/2005 to Dec/2006); c. monthly average photoperiods (Jan/2005 to Dec/2006).
open_in_new
imageFigure 2
Flowering intensity (flower buds and flowers) of ten Myrtaceae species in a Gallery Forest, Chapada Diamantina, Brazil, recorded from Jan/2005 to Dec/2006.
open_in_new
imageFigure 3
Circular distribution of flowering Myrtaceae species in a Gallery Forest, Chapada Diamantina, Brazil. Observed and modeled circular distribution of flowering events for 2005-2006.
open_in_new
imageFigure 4
a. Bundles of pollen tubes growing through the style of Eugenia punicifolia (hand cross-pollination after 24 h). b. fertilized ovule of Blepharocalyx salicifolius (hand cross-pollination after 24 h). c. three pollen tubes growing inside the style of Myrcia sylvatica (hand self-pollination after 24 h). d. two pollen tube endings their growth in the style of M. sylvatica (hand self-pollination after 24 h). e. bundles of pollen tubes reaching the ovary of Psidium brownianum (hand self-pollination after 24 h). f. fertilized ovule of P. brownianum (hand cross-pollination after 24 h).
open_in_new
table_chartTable 1
Phenological behavior of flowering in Myrtaceae species in terms of their frequency, duration, and flowering strategy, in the years 2005-2006, in Chapada Diamantina, Brazil. Frequency: A = annual or SA = supra-annual. Duration: B = brief, BI = brief to intermediate (interannual variation), I = intermediate, IE = intermediate to extended (interannual variation), and E = extended (according to Newstrom et al. 1994). Flowering strategies: B = “big bang”, BP = “big bang” to “pulsed bang” (interannual variation), P = “pulsed bang”, and S = “steady state” (according to Proença & Gibbs 1994, adapted from Gentry 1974).
Species
Population level
Individual level (%)
Frequency
Duration
Strategy
Frequency
Duration
Strategy
Blepharocalyx salicifolius
A
I
P
90A, 10SA
70B, 20I
100P
Eugenia gracillima
A
E
P
90A, 10SA
50BI, 30I, 10IE, 10E
40BP, 60P
Eugenia punicifolia
A
I
P
70A, 30SA
30B, 30BI, 40I
60B, 20BP, 10P
Myrcia amazonica
A
B
P
40A, 60SA
100B
100B
Myrcia blanchetiana
A
B
B
90A, 10SA
100B
100B
Myrcia neoregeliana
A
B
B
100A
100B
100B
Myrcia sylvatica
A
I
P
100A
100I
100P
Myrciaria floribunda
A
E
P
100A
10BI, 60I, 30IE
10BP, 90P
Myrciaria glanduliflora
A
B
P
90A, 10SA
100B
90B, 10BP
Psidium brownianum
A
I
S
100A
80B, 20I
100S
table_chartTable 2
Results of the circular analyses of the occurrence of seasonality in the flowering of Myrtaceae species during two years (2005 - top row, and 2006 - bottom row). N corresponds to the total frequency (total number of records) of the phenophase per year of study. r > 0.5 indicates synchrony. P < 0.05 indicates a statistic difference, according to Watson-Williams test (W). * = signal no significant values (p > 0.05).
Species
Statistic parameters
N
Mean angle
Mean date
Mean vector length (r)
Rayleigh test (p)
W (p)
Blepharocalyx salicifolius
30
344.23°
14 dez
0.81
< 0.01
1.49 (0.48)
23
351.69
21 dez
0.86
< 0.01
Eugenia gracillima
39
72.39°
14 mar
0.76
< 0.01
1.93 (0.38)
35
72.26°
14 mar
0.62
< 0.01
Eugenia punicifolia
30
89.14°
31 mar
0.82
< 0.01
5.65 (0.06)
20
114.68°
25 abr
0.86
< 0.01
Myrcia amazonica
34
282.23°
12 out
0.86
< 0.01
0.15 (0.93)
11
272.84°
02 out
0.92
< 0.01
Myrcia blanchetiana
30
287.74°
18 out
0.72
< 0.01
0.58 (0.75)
8
296.10°
27 out
0.92
< 0.01
Myrcia neoregeliana
10
330.00°
30 nov
1.00
< 0.01
0.00 (1.00)
2
330.00°
30 nov
1.00*
> 0.05
Myrcia sylvatica
27
294.65°
25 out
0.78
< 0.01
5.61 (0.06)
17
335.41°
05 dez
0.79
< 0.01
Myrciaria floribunda
54
51.57°
21 fev
0.52
< 0.01
2.80 (0.25)
44
60.69°
01 mar
0.68
< 0.01
Myrciaria glanduliflora
34
3.37°
04 jan
0.68
< 0.01
2.00 (0.37)
1
30.00°
31 jan
1.00*
> 0.05
Psidium brownianum
23
342.18°
12 dez
0.85
< 0.01
0.61 (0.74)
17
352.26°
22 dez
0.93
< 0.01
table_chartTable 3
Summary of generalized linear model analysis of climatic variables predicting the flowering phenologies of Myrtaceae species.
Species
Photoperiod
Rainfall
β
z or F value
β
z or F value
Blepharocalyx salicifolius
9.964
95.12***
0.0006949
0.037
Eugenia gracillima
-0.3226
0.18
0.014171
25.60***
Eugenia punicifolia
-1.8339
5.77*
0.005217
2.43
Myrcia amazonica
2.707
7.24*
-0.002709
0.37
Myrcia blanchetiana
2.844
9.09**
-0.0006439
0.03
Myrcia neoregeliana
409.3
0.01***
0.0007845
0.30
Myrcia sylvatica
4.130
17.93***
-0.004662
1.19
Myrciaria floribunda
0.2777
0.13
0.006941
3.95
Myrciaria glanduliflora
3.440
6.86*
0.009136
5.32*
Psidium brownianum
13.041
33.98***
-0.002517
0.25
table_chartTable 4
Floral visitors of Myrtaceae in a Gallery Forest, Chapada Diamantina, Brazil: species, visitation frequency, and period. Pollinator categories (according to Inouye 1980), based on visitor behaviors and frequencies: E = effective pollinator; O = occasional pollinator. * = Observed by 1-2 researchers.
Species
Observations
Visitors
Total hours (days)
Schedules
Effective visiting hours*
Species
Frequency (%)
Pollinator category
Blepharocalyx salicifolius
15:30 (3)
5:30-5:45 and 8:15-8:30
11:30
Apis mellifera
4.0 (33.8)
E
Melipona quadrifasciata anthidioides
3.1 (26.5)
E
Partamonasp. -Trigona spinipes
4.5 (38.2)
E
Xylocopa grisescens
0.2 (1.5)
O
Syrphidae
0.2 (1.5)
O
Eugenia punicifolia
13:00 (2)
5:00-5:15 and 6:15-6:30
6:00 (for 1 m2)
Apis mellifera
2.7 (10.1)
E
Melipona quadrifasciata anthidioides
16.7 (63.3)
E
Partamonasp. -Trigona spinipes
3.0 (11.4)
E
Xylocopa grisescens
0.7 (2.5)
O
Megaloptasp.
3.3 (12.7)
E
Myrcia neoregeliana
13:45 (3)
5:00-5:15 and 7:30-7:45
9:30 (5:00 for 0.5 m2)
Apis mellifera
10.2 (47.1)
E
Melipona quadrifasciata anthidioides
1.8 (8.3)
E
Partamonasp. -Trigona spinipes
8.8 (40.8)
E
Xylocopa grisescens
0.6 (2.9)
O
Epicharissp.
0.2 (1.0)
O
Myrcia sylvatica
10:00 (2)
5:00-5:15 and 7:15-7:30
5:00 (2:30 for 1 m2)
Apis mellifera
7.4 (30.1)
E
Melipona quadrifasciata anthidioides
6.6 (26.8)
E
Partamonasp. -Trigona spinipes
8.8 (35.8)
E
Xylocopa grisescens
0.6 (2.4)
O
Pseudaugochlorasp.
1.2 (4.9)
E
Psidium brownianum
30:00 (3)
6:00-6:15 and 9:45-10:00
18:00
Apis mellifera
2.8 (18.4)
E
Melipona quadrifasciata anthidioides
2.5 (16.5)
E
Partamonasp. -Trigona spinipes
9.8 (65.1)
E
table_chartTable 5
Fruiting resulting from different pollination treatments of Myrtaceae flowers in a Gallery Forest, Chapada Diamantina, Brazil. The parentheses contain the number of plants used/fruited in each treatment. SII = self-incompatibility index (ratio of fruit set from self vs. crossed flowers). AI = autogamy index (product of fruit/flower ratio by autonomous self-pollination vs. hand cross-pollination). Self = self-pollination; cross = cross-pollination; natural (open) = natural (open) pollination.
Species / Treatment
Fruit / Flower
Fruit-set (%)
SII
AI
Blepharocalyx salicifolius
0.167
0.127
Autonomous self
2(1) / 79(2)
2.5
Hand self-
1(1) / 30(1)
3.3
Hand cross-
7(1) / 35(1)
20.0
Natural (open)
0 / 33(1)
0.0
Eugenia punicifolia
0
0
Autonomous self-
0 / 37(2)
0.0
Hand self-
0 / 28(2)
0.0
Hand cross-
11(1) / 29(1)
37.9
Natural (open)
0 / 50(1)
0.0
Myrcia neoregeliana
0.074
0.17
Autonomous self-
6(1) / 85(2)
7.1
Hand self-
2(1) / 65(2)
3.1
Hand cross-
22(1) / 53(3)
41.5
Natural (open)
0 / 64(2)
0.0
Myrcia sylvatica
0.314
0
Autonomous self-
0 / 78(2)
0.0
Hand self-
2(2) / 52(2)
3.8
Hand cross-
6(2) / 49(2)
12.2
Natural (open)
2(1) / 62(1)
3.2
Psidium brownianum
0.067
0.067
Autonomous self-
1(1) / 20(3)
5.0
Hand self-
1(1) / 20(3)
5.0
Hand cross-
15(3) / 20(3)
75.0
Natural (open)
8(3) / 30(5)
26.7
Como citar
Fonseca, Rosineide Braz Santos et al. Myrtaceae flowering strategies in a gallery forest, Chapada Diamantina, Brazil. Rodriguésia [online]. 2024, v. 75 [Acessado 14 Abril 2025], e00042023. Disponível em: <https://doi.org/10.1590/2175-7860202475042>. Epub 22 Jul 2024. ISSN 2175-7860. https://doi.org/10.1590/2175-7860202475042.
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