Planting of native trees for habitat restoration is a widespread practice, but the consequences for the retention and transmission of genetic diversity in planted and natural populations are unclear. Using Inga vera subsp. affinis as a model species, we genotyped five natural and five planted populations in the Atlantic forest of northeastern Brazil at polymorphic microsatellite loci. We studied the breeding system and population structure to test how much genetic diversity is retained in planted relative to natural populations. We then genotyped seedlings from these populations to test whether genetic diversity in planted populations is restored by outcrossing to natural populations of I. vera. The breeding system of natural I. vera populations was confirmed to be highly outcrossing (t = 0.92; FIS = −0.061, P = 0.04), with populations showing weak population substructure (FST = 0.028). Genetic diversity in planted populations was 50% less than that of natural populations (planted: AR = 14.9, HO = 0.865 and natural: AR = 30.8, HO = 0.655). However, seedlings from planted populations showed a 30% higher allelic richness relative to their parents (seedlings AR = 10.5, parents AR = 7.6). Understanding the processes and interactions that shape this system are necessary to provide ecologically sensible goals and successfully restore hyper-fragmented habitats. Future restoration plans for I. vera must consider the genetic diversity of planted populations and the potential for gene flow between natural populations in the landscape, in order to preserve ecological interactions (i.e. pollination), and promote opportunities for outcrossing.
Citation: Cruz Neto O, Aguiar AV, Twyford AD, Neaves LE, Pennington RT, Lopes AV (2014) Genetic and Ecological Outcomes of Inga vera Subsp. affinis (Leguminosae) Tree Plantations in a Fragmented Tropical Landscape. PLoS ONE 9(6): e99903. https://doi.org/10.1371/journal.pone.0099903
Editor: Erin Espeland, USDA- ARS, United States of America
Received: January 23, 2014; Accepted: May 19, 2014; Published: June 16, 2014
Copyright: © 2014 Cruz Neto et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Financial support was provided by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) of Brazil (grant numbers 567739/2008-2 and 307209/2010-5 to AVL and 556990/2010-2 to OCN; http://www.cnpq.br), and by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) of Brazil (grant number 5998/11-5 to OCN; http://www.capes.gov.br). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The long term survival of a species is critically influenced by the maintenance of genetic variation within populations. Habitat loss and fragmentation, and reduced population sizes, decrease genetic diversity within populations, and may increase the levels of inbreeding and population substructure of plant species –. Restoration can mitigate these population changes but the benefits will be limited in plantations of native trees that have been sourced from narrow genetic founding stocks, which have low levels of genetic diversity , , and as a consequence may suffer from reduced long-term survival and productivity . One way genetic diversity in such plantations may be restored without human intervention is through outcrossing with native conspecific populations .
In tropical forests, habitat loss and fragmentation are a ubiquitous consequence of human population growth and the expansion of agricultural areas . One example is the Atlantic forests of Brazil, which once stretched from Rio Grande do Sul to Rio Grande do Norte states, covering an estimated area of 1.3 million km2 . The Atlantic rain forest now covers less than 16% of its original extent and occurs in small, isolated fragments . Despite its hyper-fragmented state, the Atlantic rain forest is extremely species-rich with an estimated 13,972 angiosperms species, of which c. 7,000 are endemic .
The reported consequences of habitat loss and fragmentation on the reproduction of flowering plants include the reduced range of reproductive attributes of communities, deprived plant-pollinator interactions and decreased gene flow between populations , , , , , . To mitigate some of the detrimental effects of habitat loss and fragmentation, an increased number of habitat restoration actions have been conducted in several terrestrial ecosystems , , . Forest restoration in Central and South America, including in Brazil , , often involves planting single-species stands of Inga, with a high density of individuals. Unfortunately, genetic diversity is neither explicitly measured nor considered in some habitat restoration projects , . In addition, restored populations are frequently founded with seeds from a limited number of individuals that may only represent a portion of the genetic diversity present in natural populations , , .
Species of Inga present brush type-flowers, crepuscular or nocturnal anthesis, and secrete large amounts of nectar , . Despite the potentially lower genetic diversity found in restored areas relative to natural areas, planted populations can be considered as a stepping stone for pollinators in animal pollinated plants such as Inga spp. , and therefore these populations may improve connectivity of natural populations across a fragmented landscape . However, few studies have analyzed the genetic diversity of planted trees in relation to natural populations and the impacts of single species reforestation on gene flow in a fragmented landscape , , .
The aim of this study is to determine the level of genetic diversity in planted relative to natural populations of I. vera, and how plantations influence the transmission of genetic diversity from adults to seeds in a fragmented landscape. We test the hypotheses that (i) adult individuals in planted populations have reduced genetic diversity relative to adults from natural populations and (ii) outcrossing between planted and natural populations increases genetic diversity in seedlings from planted populations relative to their parents. Microsatellite markers revealed remarkable differences in genetic diversity among adults and seedlings of planted relative to natural populations. Additionally, plantations of Inga seem to be connected with the natural remnants by pollen flow.
Materials and Methods
We conducted this study in Usina Serra Grande (USGA), a private property located on the Borborema Plateau, Alagoas state, northeastern Brazil (8°30′S, 35°50′W). Approval to conduct fieldwork was kindly granted by the landowner (L.A. Bezerra) and one of the property managers (C. Bakker). The total area is 24,000 ha, of which ca. 9,000 ha represents Atlantic forest remnants of different shapes and sizes. These remnants are scattered in an agricultural matrix, dominated by sugar cane monoculture and pastures ,  (Fig. 1). In the early 1980's, the landowners reforested areas along river courses as a measure to improve water and soil quality. The reforested patches contain Inga vera or Inga edulis, trees of which are planted in single species clumps at a density ranging from 20 to 240 (159±89.8) trees per hectare. These monospecific patches are physically isolated from natural areas, and since seed dispersal in I. vera is most likely by primates, which are unlikely to cross non-forest areas, there is little chance that any adult Inga trees observed in plantations could have arrived via seed dispersal.
(A) Map of South America highlighting northeastern region of Brazil and original extent of Atlantic rain forest; (B) Original and remaining distribution of the Atlantic rain forest between Alagoas (AL) and Pernambuco (PE) states; (C) Study site map highlighting remnants of the Atlantic rain forest, Inga plantations, and urban areas.
The vegetation in the area is classified as moist tropical forest under the Holdridge system, with a dry season from October to February and a rainy season from April to September (climate data for the period 1922–2001, USGA). The richest plant families, in terms of tree species, are Leguminosae (30 spp., among which 14 are subfamily Mimosoideae and eight are Inga), Sapotaceae (13 spp.), Lauraceae (11 spp.) and Sapindaceae (8 spp.) .
Inga vera subsp. affinis (hereafter Inga vera) is distributed from Central America to Uruguay . Its reproductive system is self-incompatible and its fruit set rate is less than 2% in natural conditions . Fruit dispersal is by primates . Though I. vera flowers are pollinated by hawkmoths (sphingophilous), they are also visited by bats and hummingbirds , (Cruz Neto et al., unpublished). Individuals of I. vera flower synchronously and massively at the same period each year . This strategy ensures that the majority of individuals may contribute via pollen and seeds to the seedling cohort. Due to its dependence on biotic pollination, and occurrence in plantations physically isolated from natural remnants, which is a standard restoration practice in northeastern Atlantic forest, I. vera is an excellent model species to investigate how planted stands of trees affect gene flow across disturbed landscapes.
Sampling and data gathering
We randomly selected 10 populations of I. vera: five planted populations in the restored monospecific stands, and five natural populations in Atlantic forest fragments (Fig. 1C). We defined a population as individuals from either a forest remnant or planted stand, which were physically isolated in the landscape (Figure 1C). To ensure spatial independence, we selected populations at least 300 m away from each other, both within and among the two spatial treatments (natural and planted). For each population, we randomly sampled 10 reproductive trees totalling 100 adult individuals – 50 for each treatment. We collected six to seven fruit per adult individual, totalling 638 fruits, and sterilized all the 6,416 seeds of these fruits in 1% sodium hypochlorite solution prior to planting in a sterile germination substrate. From the 49 (± 6) available seedlings per maternal family, we sampled five seedlings (i.e. one seedling per fruit), after seedling establishment (ca. 4-month old seedlings). In total, 500 seedlings were sampled across populations. For all the four treatment combinations, two spatial (natural vs planted) and two generations (adults vs seedlings), we collected young leaves from individuals and stored them in silica gel for DNA extraction.
DNA extraction, PCR and genotyping.
We extracted DNA from 600 individuals, 100 adults and 500 seedlings, following the Cetyltrimethylammonium Bromide (CTAB) protocol . All individuals were genotyped at four microsatellite loci (Table 1) using primers developed for the related legumes Pithecelobium elegans and I. edulis , . Simplex PCR reactions were performed using a Veriti 384-well Thermal Cycler (Applied Biosystems) in a total volume of 20 µl. The reaction mix contained ∼ 1.5 ng template DNA, 0.32 mM of each primer (the forward was fluorescently labeled with 6-FAM, NED and PET dyes, Table 1), 4 mM KCL-MgCl2, 3 mM MgCl2, 160 µM of dNTPs, 40 µM of Taq DNA polymerase (Fermentas). We used the following PCR profile: 95°C for 2 min followed by 30 cycles of 95°C for 15 s, 56 or 62°C for 30 s, 72°C for 30 s; 72°C for 15 min (Table 1; Cruz Neto et al., unpublished). PCR products were diluted to 10 ng final concentration with HPLC water. PCR products with each fluorescent dye color were mixed in a single reaction containing 1µl of each diluted PCR product and 6µl of formamide Hi-Di (Applied Biosystems) prior to fragment analysis with a 500-Liz size standard.
PCR fragments were run on an ABI3730 genetic analyzer (Applied Biosystems). Alleles were scored manually using Peak Scanner 1.0 (Applied Biosystems) and binned according to their motif length with Flexibin .
We tested for Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium for each population using FSTAT v.188.8.131.52 , with Bonferroni adjusted significance. We also tested the presence of null alleles using Micro-checker  and where necessary applied the INA correction method in Freena software .
Genetic diversity of adults from planted and natural populations.
We compared the genetic diversity of I. vera trees between planted and natural populations to test our first hypothesis that genetic diversity is lower in planted than in natural populations. The average number of alleles per locus (A), allelic richness rarefied to the minimum sample size of diploid individuals (AR) , and the observed and expected gene diversity (HO and HS)  values were calculated separately for each planted and natural population using FSTAT. We also scored the number of alleles found exclusively in natural or planted populations using HP-Rare .
Genetic diversity of adults and seedlings of Inga vera stands.
The transmission of genetic diversity in planted and natural populations were assessed by comparing estimates of genetic diversity (A, AR, HO and HS) between adults and seedlings of each population. Differences between adults and seedlings were tested using a hierarchical analysis with 1,000 permutations implemented in FSTAT, followed by Bonferroni correction.
Seedlings from planted populations were scored for the presence of alleles found exclusively in natural adult populations (see above). The presence of these unique alleles would be consistent with pollen-mediated gene flow from natural to planted populations. By considering unique alleles found in all 50 plants in natural populations against the 50 plants in planted populations, we hope to avoid the upward bias of estimates of private alleles that would be expected given the small sample sizes of individuals per population (10 individuals).
Breeding system and population structure.
We calculated the inbreeding coefficient (FIS)  for adults and seedlings from each natural population, to gain insight into the breeding system of I. vera. We used 10 adults and 10 seedlings (i.e. one seedling per adult tree) in each population for inferring FIS. Due to the sensitivity of FIS to small sample sizes, we also calculated the mean across natural and planted stands. Calculations were performed in FSTAT, and significance levels were assessed with 100,000 permutations.
The breeding system of I. vera was also inferred through outcrossing rate (t) analysis of natural and planted populations. To estimate the outcrossing rate, we used 10 families per population. Families comprised five seedlings from different fruits per tree (i.e. one seedling per fruit). The maternal parent was also genotyped. We used the Bayesian method implemented in BORICE  to calculate t. We choose a chain of 100,000 steps with a burn-in of the first 10,000 steps to reach a stable posterior distribution of t values. The t value per population was obtained after five replicate runs.
Two approaches were used to investigate the substructuring of populations. First we calculated the average FST  across all natural and planted populations. Then, Bayesian clustering analysis in BAPS 5.3  was used to infer the number of genetic clusters for adults from natural populations, and this analysis was repeated for seedlings from natural populations. The software BAPS chooses the most likely number of genetic clusters with a stochastic optimization algorithm. We selected the option ‘clustering of groups of individuals’ and used 10 iterations per clusters (K), with K values ranging from 1 to 5. The output of this initial analysis was used as the basis for the admixture analysis. We selected the option ‘admixture based on mixture clustering’ choosing three as the minimum population size, 100,000 iterations, and 5,000 as the reference number of individuals. Five replicates were made for each K value, and the final number of clusters considered that with the highest log likelihood value. We then inspected the BAPS plots displaying only significant admixture between populations (P<0.05).
All loci were highly polymorphic, containing between 10 and 21 alleles. There was no evidence of null alleles for adult individuals, but there was evidence for null alleles in seedlings of population N4 at locus Inga 08. We included this population in subsequent analyses following correction for null alleles, although this had little influence on our results. No evidence for linkage disequilibrium was detected for any planted or natural population, and all populations were in Hardy-Weinberg equilibrium for at least two loci. Measures of genetic diversity (HO, HS) were consistent between loci (Table 1).
Genetic diversity in adults of planted populations relative to natural populations
The total number of alleles across loci in adults of natural and planted populations was 63 and 31, respectively. Twelve alleles were only found in natural populations, whereas no alleles were found exclusively in planted populations.
The average allelic richness per natural population of adults was 7.7 (population range from 7.29 to 8.1; Table 2). In contrast, allelic richness per planted population was low (A9 = 3.7), ranging from 3.42 to 4.26 (Table 2). Comparisons across all planted and natural populations revealed a 50% reduction in allelic richness in adults of planted populations (A38 = 7.599) relative to adults of natural populations (A38 = 14.128, P = 0.008; Table 3). Similarly, gene diversity was lower (P = 0.013) in planted (HS = 0.696) than in natural populations (HS = 0.885; Table 3).
Genetic diversity of seedlings relative to adults
Of the 63 alleles in adults sampled from natural populations, 62 were also present in the seedlings. In contrast, the number of alleles was 38% higher in seedlings (43 alleles) than adults (31) from planted populations. Furthermore, all alleles absent in the adults of planted populations, but present in their seedlings, were found in adults of natural populations. The average allelic richness per population in seedlings from natural stands was 7.06 (population range 6.37 to 7.95), while an average allelic richness of 4.91 (population range 3.96 to 5.66) was found in planted populations (Table 2). The gene diversity in seedlings of planted and natural populations ranged from 0.721 to 0.811 and from 0.831 to 0.897, respectively.
Genetic diversity across planted populations measured as mean allelic richness was higher in seedlings (A38 = 10.468) than in adults (A38 = 7.59, P = 0.013; Table 3). Furthermore, gene diversity of seedlings (HS = 0.782) was higher (P = 0.027) than that of adults (HS = 0.696) in planted populations (Table 3). On the other hand, allelic richness and gene diversity did not differ (P = 0.57 and P = 0.96, respectively) between adults and seedlings of natural populations (Table 3).
Breeding system and population structure in Inga vera
The population inbreeding coefficient of adults in natural populations was not different from zero (FIS = −0.061; P>0.05), with population values ranging from −0.106 to 0.019. The inbreeding coefficient of seedlings from natural populations, based on one seedling per maternal tree, differed significantly from zero (FIS = 0.149, P<0.05; Table 3) and ranged from −0.067 to 0.243. Despite higher levels of inbreeding in seedlings relative to adults, the average inbreeding coefficient across populations was low (mean FIS = 0.065, P<0.05). In accordance with the low values of FIS, we detected a high outcrossing rate in natural populations (t = 0.92, 2.5 percentile = 0.88, 97.5 percentile = 0.95), ranging from 0.83 to 0.98, as would be expected in species with an outcrossing breeding system. Outcrossing rate in planted populations was also high (t = 0.89, 2.5 percentile = 0.81, 97.5 percentile = 0.93).
Adult planted stands exhibited low inbreeding coefficients, which did not differ from zero, similar to that observed in natural populations (FIS = −0.084, P = 0.3). There was no difference between the inbreeding coefficient of adults from planted and natural populations (P = 0.659; Table 3). The inbreeding coefficient of seedlings from planted populations was moderate (FIS = 0.303), and significantly different from zero (P<0.05), and higher than FIS of seedlings from natural populations (FIS = 0.149, P = 0.05; Table 3).
The extent of population substructuring was greater in adults of planted populations (FST = 0.084) compared to adults of natural populations (FST = 0.028, P = 0.011; Table 3). Low levels of genetic substructuring were also detected in seedlings from planted populations (FST = 0.041; Table 3). Despite the low values, genetic substructuring in adults and seedlings of planted populations was significantly greater than zero (P<0.05; Table 3). The results of the Bayesian assignment analyses performed in BAPS were consistent with this pattern, with a single genetic cluster (K = 1) recovered for all adult individuals from natural populations, and three genetic clusters (K = 3) detected in adults from planted populations, with limited admixture between them. The same difference regarding the genetic clustering was detected in seedlings of natural (K = 1) and planted (K = 3) populations, as the respective adults (Fig. 2).
Structure plot generated using BAPS 5.3, displaying only significant admixture (P<0.05) between planted and natural populations of adults (A and B) and seedlings (C and D). Number of genetic clusters (K) were assessed after five replicates.
In this study we used Inga vera to analyse the retention of genetic diversity in restoration initiatives in the most threatened region of the Atlantic forest of Brazil. We showed that Inga vera is an outcrossing species, with high levels of genetic diversity within populations. Comparative analyses revealed that the adults of planted populations have reduced genetic diversity in relation to the adults of natural populations, and also present some genetic structuring, whereas natural populations have no spatial structure. In addition, the seedlings of planted populations have lower genetic diversity than those of natural areas. However, the seedlings of planted populations have higher genetic diversity than the adults, suggesting pollen-mediated gene flow from natural to planted stands. Our results suggest that for self-incompatible species, like I. vera, plantations sourced from narrow genetic founding stock may recoup genetic diversity by outcrossing with natural stands. In addition, we hypothesize that plantations of outcrossing species may positively contribute to gene flow through hyper-disturbed landscapes.
Reduced genetic diversity in planted stands of Inga vera
Planted stands of I.vera had lower allelic richness and expected heterozygosity relative to natural populations. A reduction of genetic diversity in planted relative to natural populations was also found in I. edulis for both nuclear and organellar DNA , , and this trend has also been observed in other tree species , . It is likely that low genetic diversity in I. vera planted populations is explained by planting seeds from only a few trees, a standard practice in the northeastern Atlantic forest . However, the increased genetic structure detected in planted populations relative to natural populations, as indicated by higher FST values and the greater number of clusters in the Bayesian analysis, suggests that not all planted populations are derived from fruits of a single maternal parent.
The clustering of Inga pollen in polyads with approximately 20 grains  may also influence patterns of genetic diversity. Each pollen grain in a polyad can fertilize one ovule in the same flower. This strategy, where many pollen grains are dispersed as one unit, and where any one of the grains is able to fertilize the ovules, is called “sweepstake” reproduction . Despite the fact that sweepstake reproduction results in a high seed set for a given fruit, the genetic diversity among seeds of the same fruit will be low . Therefore, the planting of seeds from few fruits will restrict the genetic diversity of planted populations of Inga species. We emphasize that restoration efforts with species of Inga should be done with seeds from different individuals and fruits to avoid close kinship relationships between the seedlings, which may impair the long-term reproductive output (i.e. seed quality, vigour) of planted populations.
Recovery of genetic diversity in planted populations through outcrossing
We found evidence suggesting that planted populations might be outcrossing with natural populations. We detected an increase of 30% in allelic richness in seedlings compared with adults of planted populations, while no change was detected in natural populations. The presence of alleles only found in adults from surrounding natural forest fragments (and not in planted stands) provides some support for pollen flow from natural stands enhancing levels of diversity in planted populations. We also detected an increase in expected heterozygosity from adults to seedlings in planted populations, without a change in natural populations, as found for allelic richness. We do, however, recognize that our experimental design, intended to sample multiple populations and seedlings with low coverage of individuals, is unlikely to detect the full range of allelic diversity in a given population, and therefore cannot comprehensively prove outcrossing to natural populations.
Gene flow from natural to planted stands has been detected for Pinus canariensis, which is a wind pollinated tree . In this case, immigration rates into artificially regenerated forest were high, ranging from 0.68 to 0.75, and genetic diversity was significantly increased, indicating genetic recovery in Pinus canariensis plantations surrounded by larger natural stands. Our results are also consistent with genetic recovery in planted populations of trees, but in this case in an angiosperm tree species that is insect pollinated in a hyper-fragmented area. This shows that while the planting of trees generally results in populations with lower allelic richness , , , as in I. vera, genetic diversity can, to some extent, be restored by receiving pollen from natural populations.
Breeding system and genetic structure of natural populations
Previous pollination experiments with nine Inga species, including I. vera, demonstrated that all species were obligate outcrossers (have a xenogamic mating system) and are dependent on cross pollination to set fruits and seeds . The uniformly low values for the inbreeding coefficient across natural populations of I. vera reported here are consistent with obligatory xenogamy. Furthermore, we found high genetic diversity (e.g. allelic richness) and outcrossing rate values in adults and seedlings from natural populations, as would be expected in an obligate xenogamic tree species with large effective population sizes. Similar patterns of low inbreeding values and high genetic diversity have also been found in I. edulis from Peruvian Amazon forest . Overall, the genetic results presented here, and those from previous studies, support obligate xenogamy as the dominant reproductive system for Inga species.
The low genetic structuring detected among populations of I. vera is likely to indicate high levels of gene flow between populations. Weak population genetic structure may be a consequence of the pollination system of I. vera and also confirms the occurrence of outcrossing in the populations that we studied. The majority of Inga species, including I. vera, can be considered hawkmoth pollinated, despite occasional vistitation by bat and hummingbirds during the day , (Cruz Neto et al., unpublished). Hawkmoths, bats and hummingbirds can fly across large areas, ca. 15 km, during their foraging routes carrying pollen grains to distant individuals in well preserved habitats , , . Fruit and seed set in self-incompatible Inga species are ensured by the cross pollination associated with vectors that can move long distances . Therefore, pollen flow between distant individuals in different populations, due to pollinator behavior, contributes to the high outcrossing rate and the weak population substructure found in natural populations of I. vera.
Curiously, there is an increase in inbreeding of seedlings relative to adults in both natural and planted populations despite the outcrossing breeding system and low population substructuring in adults of I. vera. Habitat fragmentation can alter reproductive strategies in plant communities  and negatively interferes in plant-pollinator interactions  by favouring short distance dispersion of pollen grains . These changes can increase inbreeding by leading to crossing between related individuals , . Our study site is included in the Pernambuco endemism centre which is the most fragmented region of Atlantic rain forest .
Despite their large foraging area, hawkmoth species are negatively affected by habitat disturbance and may become locally extinct, or have reduced foraging routes in hyper-fragmented habitats , . This could also reduce pollen flow between populations, and increase breeding among potentially related individuals within the same forest fragment. Thus the association between intense forest fragmentation in this area and the dependence of biotic pollinators may contribute to the increase in inbreeding of seedlings of I. vera in both natural and planted populations.
Implications for the conservation and restoration of the Atlantic forest
Many habitat restoration plans have been implemented in the Atlantic forest during the last 30 years . The current consensus is that restoration plans must enhance natural succession and preserve ecological interactions, such as pollination services that may be critical for ensuring restoration success , and high genetic diversity of planted populations . Plants in tropical biodiversity hotspots are likely to exhibit high levels of biotic dependence for pollination , . We emphasize that the success of restoration actions in hyper-fragmented ecosystems, such as the Atlantic forest, is likely to involve high number of plant species pollinated by vectors with the ability to fly long distances in their foraging routes . This is the case of species of Inga in which the main pollinators are typically hawkmoths, bats and hummingbirds , , , . Pollination in reforested areas may be also facilitated by proximity to natural patches that support pollinator communities , such as some of the reforested stands in this study.
The genetic recovery found in this study may also be attributed to the highly synchronous flowering among populations of I. vera in the northeastern Atlantic forest . The synchronous flowering events of I. vera which are typical of other Inga ,  species, means that planted populations may be an abundant source of flowers for pollinators supplementing natural populations. Planted stands of I. vera with a high density of individuals can increase the availability of floral resource such as nectar and pollen, and therefore favour the attraction of pollinators , , connecting natural fragments with the reforested stands.
Our population genetic data for Inga vera reveal that low genetic diversity of planted populations can be recovered by cross-pollination with natural stands, particularly given the outcrossing nature of the study species. Recovery of genetic diversity will, however, be hampered if the genetic diversity of natural stands is reduced by habitat degradation, or if very large stands are planted using a narrow genetic founding stock. Future restoration plans in the Atlantic rain forest should consider the potential of pollen dispersal across large spatial scales, and make an effort to ensure high genetic diversity in planted populations, in order to facilitate successful restoration in this hyper-fragmented ecosystem.
We thank to L.G. Dantas, A.P. Harand, J. Silva, M. Woolley, and R. Fernandes (Universidade Federal de Pernambuco) for essential support during the labwork; R. Ennos and M. Ruhsam for useful discussions on patterns of gene flow; E. Espeland (Academic Editor), P. Wolf, and an anonymous reviewer for valuable suggestions on the manuscript. We are also grateful to the Centro de Pesquisas Ambientais do Nordeste and the Projeto Serra Grande for providing logistical support to our research.
Conceived and designed the experiments: OCN AVA AVL. Performed the experiments: OCN AVA. Analyzed the data: OCN AVA ADT LEN RTP AVL. Wrote the paper: OCN AVA ADT LEN RTP AVL.
- 1. Aguilar R, Quesada M, Ashworth L, Herrerias-Diego Y, Lobo J (2008) Genetic consequences of habitat fragmentation in plant populations: susceptible signals in plant traits and methodological approaches. Mol Ecol 17(24): 5177–5188.
- 2. Llorens TM, Byrne M, Yahtes CJ, Nistelberger HM, Coates DJ (2012) Evaluating the influence of different aspect of habitat fragmentation on mating patterns and pollen dispersal in the bird-pollinated Banskia sphaerocarpa var. caesia. Mol Ecol 21: 314–328.
- 3. Lobo J, Solís S, Fuchs EJ, Quesada M (2013) Individual and temporal variation in outcrossing rates and pollen flow patterns in Ceiba pentandra (Malvaceae: Bombacoidea). Biotropica 45(2): 185–194.
- 4. Navascués M, Emerson BC (2007) Natural recovery of genetic conservation by geneflow in reforested areas of the endemic Canary Island pine, Pinus canariensis. Forest Ecol Manag 244: 122–128.
- 5. Dawson IK, Hollingsworth PM, Doyle JJ, Kresovich S, Weber JC, et al. (2007) Origins and genetic conservation of tropical trees in agroforestry systems: a case study from Peruvian Amazon. Conserv Genet 9: 361–372.
- 6. Rodrigues RR, Lima RAF, Gandolfi S, Nave AG (2009) On the restoration of high diversity forests: 30 years of experience in the Brazilian Atlantic Forest. Biol Conserv 142: 1241–1251.
- 7. Wright SJ, Muller-Landau HC (2006) The future of tropical forest species. Biotropica 38: 287–301.
- 8. Morellato LPC, Haddad CFB (2000) The Brazilian Atlantic Forest. Biotropica 32: 786–792.
- 9. Ribeiro MC, Metzger JP, Martensen AC, Ponzoni FJ, Hirota MM (2009) The Brazilian Atlantic forest: How much is left, and how is the remaining forest distributed? Implications for conservation. Biol Conserv 142: 1141–1153.
- 10. Forzza RC, Baumgratz JFA, Bicudo CEM, Carvalho-Junior AA, Costa A, et al.. (2010) Catálogo de plantas e fungos do Brasil. Rio de Janeiro: Instituto Jardim Botânico do Rio de Janeiro. 875 p.
- 11. Girão LC, Lopes AV, Tabarelli M, Bruna EM (2007) Changes in tree reproductive traits reduce functional diversity in a fragmented Atlantic forest landscape. PLoS ONE 2: e908.
- 12. Aguilar R, Ashworth L, Galetto L, Aizen MA (2006) Plant reproductive susceptibility to habitat fragmentation: review and synthesis through a meta analysis. Ecol Lett 9: 968–980.
- 13. Kettle CJ, Hollingsworth PM, Affré TJ, Moran B, Ennos RA (2007) Identifying the early genetic consequences of habitat degradation in a highly threatened tropical conifer, Araucaria nemorosa Laubenfels. Mol Ecol 16: 3581–3591.
- 14. Lopes AV, Girão LC, Santos BA, Peres CA, Tabarelli M (2009) Long-term erosion of tree reproductive trait diversity in edge-dominated Atlantic forest fragments. Biol Conserv 142: 1154–1165.
- 15. Steinitz O, Robledo-Arnuncio JJ, Nathan R (2012) Effects of Forest plantations on the genetic composition of conspecific native Aleppo pine populations. Mol Ecol 21: 300–313.
- 16. Alves-Costa CP, Lôbo D, Leão T, Brancalion PHS, Nave AG et al.. (2008) Implementando reflorestamentos com alta diversidade na Zona da Mata Nordestina: Guia Prático. Recife: J. Luiz Vasconcelos.
- 17. Lengkeek AG, Jaenicke H, Dawson IK (2004) Genetic bottlenecks in agroforestry systems: results of tree nursery surveys in East Africa. Agroforest Syst 63: 149–155.
- 18. Hollingsworth PM, Dawson IK, Goodall-Copestake P, Richardson JE, Weber JC, et al. (2005) Do farmers reduce genetic diversity when they domesticate tropical trees? A case study from Amazonia. Mol Ecol 14: 497–501.
- 19. Lengkeek AG, Mwangi AM, Agufa CAC, Ahenda JO, Dawson IK (2006) Comparing genetic diversity in agroforestry systems with natural forest: a case study of the important timber tree Vitex fischeri in central Kenya. Agroforest Syst 67: 293–300.
- 20. Pennington TD (1997) The genus Inga. Royal Botanic Gardens, Kew.
- 21. Cruz-Neto O, Machado IC, Lopes AV (2007) Ecologia da polinização de Inga striata (Benth.) (Leguminosae-Mimosoideae) em um remanescente de Mata Atlântica no Nordeste do Brasil. Rev Bras Biociênc 5: 570–572.
- 22. Cruz-Neto O, Machado IC, Duarte JA, Lopes AV (2011) Synchronous phenology of hawkmoths (Sphingidae) and Inga species (Fabaceae–Mimosoideae): implications for the restoration of the Atlantic forest of northeastern Brazil. Biodivers Conserv 20: 751–765.
- 23. Ferreira ME, Grattapaglia D (1998) Protocolos: Extração de DNA genômico total de plantas, In: Ferreira ME, Grattapaglia D, editors. Introdução ao uso de marcadores moleculares em análise genética. 2nd edition. Embrapa Cenargen, Brasília, pp. 121–138.
- 24. Dayanandan S, Bawa KS, Kesseli R (1997) Conservation of microsatellites among tropical trees (Leguminosae). Am J Bot 84: 1658–1663.
- 25. Amos W, Hoffman JI, Frodsham A, Zhang L, Best S, et al. (2007) Automated binning of microsatellite alleles: problems and solutions. Mol Ecol Notes 7: 10–14.
- 26. Goudet J (2001) FSTAT, a Program to Estimate and Test Gene Diversities and Fixation Indices, Version 184.108.40.206. Available: http://www2.unil.ch/izea/softwares/fstat.html. Accessed 2012 Jan 16.
- 27. Van-Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) Micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4: 535–538.
- 28. Chapius MP, Estoup A (2007) Microsatellite null alleles and estimation of population differentiation. Mol Biol Evol 24: 621–631.
- 29. El Mousadik A, Petit RJ (1996) High level of genetic differentiation for allelic richness among populations of the argan tree [Argania spinosa (L) Skeels] endemic to Morocco. Theor Appl Genet 92: 832–839.
- 30. Nei M (1987) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89: 583–590.
- 31. Kalinowski ST (2005) HP-RARE 1.0: a computer program for performing rarefaction on measures of allelic richness. Mol Ecol Notes 5: 187–189.
- 32. Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38: 1358–1370.
- 33. Koelling VA, Monhahan PJ, Kelly JK (2012) A Bayesian method for the joint estimation of outcrossing rate and inbreeding depression. Heredity 109: 393–400.
- 34. Corander J, Marttinen P, Sirén J, Tang J (2008) Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations. BMC Bioinf 9: 539.
- 35. Koptur S (1984) Outcrossing and pollinator limitation of fruit set: Breeding systems of neotropical Inga trees (Fabaceae: Mimosoideae). Evolution 38: 1130–1143.
- 36. Cruden RW (1977) Pollen-Ovule ratios: A conservative indicator of breeding systems in flowering plants. Evolution 31: 32–46.
- 37. Elmore LW, Miller DA, Villella FJ (2004) Foraging area size and habitat use by red bats (Lausirus borealis) in an intensively managed pine landscape in Missippi. Am Midl Nat 153: 405–417.
- 38. Kevan P (1999) Pollinators as bioindicators of the state of the environment: species activity and diversity. Agric Ecosyst Environ 74: 373–393.
- 39. Kitching IJ, Cadiou JM (2000) Hawkmoths of the world—an annotated and illustrated revisionary checklist(Lepidoptera: Sphingidae). Cornell University Press, New York.
- 40. Silva JMC, Tabarelli M (2000) Tree species impoverishment and the future flora of the Atlantic Forest of northeast Brazil. Nature 404: 72–73.
- 41. Dixon KW (2009) Pollination and restoration. Science 325: 571–572.
- 42. Olesen JM, Jordano P (2002) Geographic patterns in plant-pollinator mutualistic networks. Ecology 83: 2416–2424.
- 43. Amorim FW, Galetto L, Sazima M (2013) Beyond the pollination syndrome: Nectar ecology and the role of diurnal and nocturnal pollinators in the reproductive success of Inga sessilis (Fabaceae). Plant Biol 15: 317–327.
- 44. Koptur S (1983) Flowering phenology and floral biology of Inga (Fabaceae – Mimosoideae). Syst Bot 8: 354–368.
- 45. Hodges SA (1995) The influence of nectar production on hawkmoth behaviour, self pollination and seed production in Mirabilis multiflora (Nyctaginaceae). Am J Bot 82: 197–204.
- 46. Klinkhamer PGL, De-Jong T, Linnebank LA (2001) Small-scale patterns determine ecological relationships: an experimental example using nectar production rates. Ecol Lett 4: 559–567.