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Inter- and intra-population variability in physical dormancy along a precipitation gradient

ABSTRACT

Physical dormancy enables plants that occur in temporally stochastic and harsh environments to survive; thus, within the distribution area of a species, the percentage of seeds with physical dormancy is expected to increase towards more arid and unpredictable areas. There have been no previous studies evaluating both inter and intra-population variability in physical dormancy along a precipitation gradient. The aim of this study was to determine the inter- and intra-population variability in physical dormancy of seeds of Vachellia aroma (Fabaceae) along a precipitation gradient. We collected mature fruits from four localities along a precipitation gradient in central Argentina for an imbibition experiment using controlled germination chambers. Changes in physical dormancy were not found along the precipitation gradient; however, a trend toward higher percentage of seed imbibition (lower PY) at the most humid extreme of the gradient was observed. On the contrary, we did observed intra-population variability in three of the four populations, suggesting that most of the populations of V. aroma might have the ability to deal with the environmental variability encountered at local scale. This study highlights the importance of studying both inter- and intra-population variability in physical dormancy.

Keywords
Fabaceae; inter-population variability; intra-population variability; physical dormancy; precipitation gradient; Vachellia aroma

Plants have evolved dormancy mechanisms to optimize the time of germination, avoiding germination in periods that are only ephemerally favourable and, therefore, ensuring seedling survival (Baskin & Baskin 2014Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press. ; Willis et al. 2014Willis CG, Baskin CC, Baskin JM, et al. 2014. The evolution of seed dormancy: environmental cues, evolutionary hubs, and diversification of the seed plants. New Phytologist 203: 300-309. ). Seed dormancy, one of the earliest traits expressed in the life of plants, can be a critical determinant of plant population dynamics through a direct effect on colonization and establishment success (Willis et al. 2014Willis CG, Baskin CC, Baskin JM, et al. 2014. The evolution of seed dormancy: environmental cues, evolutionary hubs, and diversification of the seed plants. New Phytologist 203: 300-309. ). Physical dormancy (hereafter, PY), one of the types of seed dormancy, is caused by one or more layers of palisade cells in the seed or fruit coat; such layers are impermeable to water and, once broken, dormancy cannot be reversed (Baskin & Baskin 2014Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press. ). This type of dormancy is most commonly found in species occurring in arid and semi-arid regions (Funes & Venier 2006Funes G, Venier P. 2006. Dormancy and germination in three Acacia (Fabaceae) species from central Argentina. Seed Science Research 16: 77-82.; Baskin & Baskin 2014Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press. ) and in fire-prone areas, especially in species with a persistent seed bank (Ooi et al. 2014Ooi MK, Denham AJ, Santana VM, Auld TD. 2014. Temperature thresholds of physically dormant seeds and plant functional response to fire: variation among species and relative impact of climate change. Ecology and Evolution 4: 656-671. ; Liyanage & Ooi 2015Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131. ). Furthermore, some studies have suggested that PY variability allows seeds to persist in variable environments (Ooi et al. 2012Ooi MK, Auld TD, Denham AJ. 2012. Projected soil temperature increase and seed dormancy response along an altitudinal gradient: implications for seed bank persistence under climate change. Plant Soil 353: 289-303.; Fernández-Pascual et al. 2013Fernández-Pascual E, Jiménez-Alfaro B, Caujapé-Castells J, Jaén-Molina R, Díaz TE. 2013. A local dormancy cline is related to the seed maturation environment, population genetic composition and climate. Annals of Botany 112: 937-945. ). However, there is scarce knowledge about the degree of PY variability, both among and within populations, especially in natural ecosystems (Cochrane et al. 2015Cochrane A, Yates CJ, Hoyle GL, Nicotra AB. 2015. Will among population variation in seed traits improve the chance of species persistence under climate change? Global Ecology and Biogeography 24: 12-24. ; Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ).

Some authors agree that PY has evolved to enable plants to survive in temporally stochastic and harsh environments (Baskin & Baskin 2014Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press. ; Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ). Consequently, in the context of climate change, it has been suggested that PY would prosper under warmer, more variable and unpredictable climates (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ). Natural gradients (e.g., precipitation, temperature, altitude) offer great opportunities for evaluating inter-population variability and might provide information about how species may cope with environmental variability (Ooi et al. 2012Ooi MK, Auld TD, Denham AJ. 2012. Projected soil temperature increase and seed dormancy response along an altitudinal gradient: implications for seed bank persistence under climate change. Plant Soil 353: 289-303.; Fernández-Pascual et al. 2013Fernández-Pascual E, Jiménez-Alfaro B, Caujapé-Castells J, Jaén-Molina R, Díaz TE. 2013. A local dormancy cline is related to the seed maturation environment, population genetic composition and climate. Annals of Botany 112: 937-945. ). Variation along precipitation gradients might be highly important for seed traits such as dormancy, because changes in humidity during seed development are related to the degree of seed dormancy (Jaganathan 2016Jaganathan GK. 2016. Influence of maternal environment in developing different levels of physical dormancy and its ecological significance. Plant Ecology 217: 71-79. ). Within species, a review of studies comparing populations in sites with different precipitations found that low rainfall during seed development favours the occurrence of PY (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. and reference therein). In addition, some degree of intra-population variability has been observed in regeneration traits (Moreira et al. 2012Moreira B, Tavsanoglu Ç, Pausas JG. 2012. Local versus regional intraspecific variability in regeneration traits. Oecologia 168: 671-677. ; Baskin & Baskin 2014Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press. ). Particularly, studies that analysed PY variation within populations found important differences among individuals (Pérez-García 1997Pérez-García F. 1997. Germination of Cistus ladanifer seeds in relation to parent material. Plant Ecology 133: 57-62. ; Lacerda et al. 2004Lacerda DR, Lemos Filho JP, Goulart MF, Ribeiro RA, Lovato MB. 2004. Seed-dormancy variation in natural populations of two tropical leguminous tree species: Senna multijuga (Caesalpinoideae) and Plathymenia reticulata (Mimosoideae). Seed Science Research 14: 127-135.; Masaka & Yamada 2009Masaka K, Yamada K. 2009. Variation in germination character of Robinia pseudoacacia L. (Leguminosae) seeds at individual tree level. Journal of Forestry Research 14: 167-177. ). Nonetheless, a recent study focussing on five Fabaceae woody species found significant intra-population differences in initial dormancy only in one of the species (Liyanage & Ooi 2015Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131. ). Intra-population variability could be a strategy that buffers species against local unpredictable events such as fire and drought (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ; Liyanage & Ooi 2015Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131. ) allowing a staggered seed germination.

Recent reviews (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ; Jaganathan 2016Jaganathan GK. 2016. Influence of maternal environment in developing different levels of physical dormancy and its ecological significance. Plant Ecology 217: 71-79. ) expressed the need for jointly evaluating inter and intra-population variability in PY. Determining the extent of PY variation may help us to fully understand how species cope with environmental heterogeneity, ensuring that at least some seedling emergence, and potentially recruitment, will occur (Ooi et al. 2014Ooi MK, Denham AJ, Santana VM, Auld TD. 2014. Temperature thresholds of physically dormant seeds and plant functional response to fire: variation among species and relative impact of climate change. Ecology and Evolution 4: 656-671. ; Liyanage & Ooi 2015Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131. ). However, studies considering both sources of variability together are scarce (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ). One example is the work of Lacerda et al. (2004Lacerda DR, Lemos Filho JP, Goulart MF, Ribeiro RA, Lovato MB. 2004. Seed-dormancy variation in natural populations of two tropical leguminous tree species: Senna multijuga (Caesalpinoideae) and Plathymenia reticulata (Mimosoideae). Seed Science Research 14: 127-135.) who compared two tropical Fabaceae woody species from two distant populations differing in their degree of disturbance but presenting similar precipitation regime, founding inter- and intra-population variability in PY levels, with notable high intra-population variability. Furthermore, to our knowledge, there are not previous studies analysing together inter- and intra-populations variability in PY along a precipitation gradient which may improve our understanding of the possibilities that a species may have to cope with unpredictable changes such as those expected by climate change (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ).

Moreover, most studies focused on PY variation among populations and individuals were performed in agricultural species, mainly in annuals and short-lived herbaceous perennials, but very few have dealt with woody species (Cochrane et al. 2015Cochrane A, Yates CJ, Hoyle GL, Nicotra AB. 2015. Will among population variation in seed traits improve the chance of species persistence under climate change? Global Ecology and Biogeography 24: 12-24. ; Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ). Vachellia aroma (Gillies ex Hook. & Arn.) Seigler & Ebinger (ex Acacia aroma Gillies ex Hook. & Arn.) (Seigler & Ebinger 2005Seigler DS, Ebinger JE. 2005. New contributions in the genus Vachellia (Fabaceae: Mimosoideae) from the new world. Phytologia 87: 139-178.), a perennial woody species belonging to the family Fabaceae, is an important component of the subtropical seasonal xerophytic forest of central Argentina (Giorgis et al. 2011Giorgis MA, Cingolani AM, Chiarini F, et al. 2011. Composición florística del Bosque Chaqueño Serrano de la provincia de Córdoba, Argentina. Kurtziana 36: 9-43.). Seeds of this species present PY due to a very thick and compact seed coat with a sclerified parenchyma (Funes & Venier 2006Funes G, Venier P. 2006. Dormancy and germination in three Acacia (Fabaceae) species from central Argentina. Seed Science Research 16: 77-82.; Venier et al. 2012aVenier P, Funes G, García CC. 2012a. Physical dormancy and histological features of seeds of five Acacia species (Fabaceae) from xerophytic forests in central Argentina. Flora 207: 39-46.). It is not clear how this species breaks PY in nature, however previous studies suggested that passing through the digestive tract of cattle might break seed dormancy in this species (Venier et al. 2012bVenier P, Carrizo García C, Cabido M, Funes G. 2012b. Survival and germination of three hard-seeded Acacia species after simulated cattle ingestion: the importance of the seed coat structure. South African Journal of Botany 79: 19-24.) while fire and other native dispersal agents such as foxes might not be involved in this process (Ferreras et al. 2015Ferreras AE, Funes G, Galetto L. 2015. The role of seed germination in the invasion process of Honey locust (Gleditsia triacanthos L., Fabaceae): comparison with a native confamilial. Plant Species Biology 30: 126-136.). In this region, V. aroma is present in different plant communities along a precipitation gradient ranging from 306 to 710 mm. Along the gradient, rainfall is concentrated in the warm season (October to April, Ebinger et al. 2000Ebinger JE, Seigler DS, Clarke HD. 2000. Taxonomic revision of South American species of the genus Acacia subgenus Acacia (Fabaceae: Mimosoideae). Systematic Botany 25: 588-617. ), nevertheless in the dry sectors of the gradient the rain events becomes much more unpredictable. Hence, this precipitation gradient represents an excellent natural experiment to study inter- and intra-populations variability together.

The aim of this study was to determine inter- and intra-population variability in PY of V. aroma seeds along a precipitation gradient. We specifically attempted to answer the following questions: does PY increase towards the driest and most unpredictable extremes of a precipitation gradient? Does PY vary among individuals within populations?

Four localities differing in annual precipitation along a precipitation gradient in central Argentina were selected (Tab. 1). In each of these localities, described in Table 1, a V. aroma population was identified. At each population mature fruits from at least 10 individuals were collected. When the fruits were mature in all the populations fruit collection was performed in two consecutive days in May 2015 (18-19 of May, 2015). Fruits from each individual were kept separate in paper bags. At the laboratory, the fruits were opened and the seeds were extracted; seeds with no signs of predation and whose external morphology were the typical for the species (Funes & Venier 2006Funes G, Venier P. 2006. Dormancy and germination in three Acacia (Fabaceae) species from central Argentina. Seed Science Research 16: 77-82.) were stored in sealed papers bags at room temperature for less than two weeks until the start of the imbibition experiment.

Table 1
Collection site, population number ordered by increasing aridity, coordinates, annual precipitation and annual mean temperature of each locality along a precipitation gradient.

The imbibition experiment was conducted using controlled germination chambers under a 12/12-h daily photoperiod and an alternating temperature regime of 25/15 ºC (Funes & Venier 2006Funes G, Venier P. 2006. Dormancy and germination in three Acacia (Fabaceae) species from central Argentina. Seed Science Research 16: 77-82.). For each individual, three replicates of 25 seeds each were used, resulting in at least 30 Petri dishes per population (10 individuals per population x 3 Petri dishes per individual= 30 Petri dishes per population). In each Petri dish (9-cm diameter) seeds were put on filter paper and moistened with distilled water when necessary. During one month, the number of seeds that showed clear signs of imbibition (i.e., softening and changes in seed size) were recorded (Lacerda et al. 2004Lacerda DR, Lemos Filho JP, Goulart MF, Ribeiro RA, Lovato MB. 2004. Seed-dormancy variation in natural populations of two tropical leguminous tree species: Senna multijuga (Caesalpinoideae) and Plathymenia reticulata (Mimosoideae). Seed Science Research 14: 127-135.).

To test if the populations differed in seed imbibition percentage along the precipitation gradient, a generalized linear mixed model (GLMM) with a binomial error structure and logit link function was performed, using the populations (four levels) as fixed factor and individuals as random factor. To compare seed imbibition percentages among individuals within each population, a generalized linear model (GLM) was performed using the individuals as fixed factor. A quasibinomial error structure and logit link function was used due to overdispersion. When differences among individuals within populations were significant, the DCG a posteriori test was used for multiple comparisons. The GLMM and graphs were performed with R version 3.1.1 (R Development Core Team 2014R Development Core Team. 2014. R: A language environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from URL: Available from URL: http://www.r-project.org . 26 Sep. 2016.
http://www.r-project.org...
) using the packages mass and nlme and GLM in Infostat (Di Rienzo et al. 2013Di Rienzo JA, Casanoves F, Balzarini MG, Gonzalez L, Tablada M, Robledo CW. 2013. InfoStat version 2013. Córdoba, Grupo InfoStat, FCA, Universidad Nacional de Córdoba.) and its interface to R (R 3.1.1, R Development Core Team 2014R Development Core Team. 2014. R: A language environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from URL: Available from URL: http://www.r-project.org . 26 Sep. 2016.
http://www.r-project.org...
).

No significant differences were observed among populations along the precipitation gradient (Z=-1.74; p=0.089; Fig. 1). However a trend toward a higher imbibition percentage at the most humid extreme could be observed (Fig. 1).

Figure 1
Seed imbibition percentages of four Vachellia aroma populations. Populations are ordered according to their location in the precipitation gradient, with Population 1 (Mendiolaza) being at the wettest extreme and Population 4 (Patquía), at the driest extreme. The black dot inside each box represents the median.

We observed intra-population variability in seed imbibition percentage in most of the populations (Fig. 2), with significant differences being detected among individuals belonging to Populations 1, 2 and 4 (ranges of seed imbibition percentages: 2.67-29.33 %; 0-21.33 %; and 1.33-26.66 %, respectively) (Fig. 2A-C). Population 3 did not show significant differences among individuals, with all of them exhibiting low seed imbibition percentages (values of seed imbibition ranged from 0 % to 4 %; Fig. 2C).

Figure 2
Mean seed imbibition percentages for individual plants of four Vachellia aroma populations distributed along a precipitation gradient in central Argentina. (A), 10 plants of Population 1 (Mendiolaza); (B), 10 plants of Population 2 (Tuclame); (C), 11 plants of Population 3 (INTA Chamical); and (D), 11 plants of Population 4 (Patquía). Mean seed imbibition percentage for each population is represented by a dashed horizontal line. Different letters indicate significant differences in mean seed imbibition percentage.

The assembly of plant species in an area is the result of biotic and abiotic processes operating at different spatial and temporal scales (Woodward 1987Woodward FI. 1987. Climate and plant distribution. Cambrige, Cambridge University Press.). At the regional scale, these processes act as filters, selecting those species with suitable traits to withstand those filters (Keddy 1992Keddy PA. 1992. Assembly and response rules: two goals for predictive community ecology. Journal of Vegetation Science 3: 157-164. ). According to Keddy (1992)Keddy PA. 1992. Assembly and response rules: two goals for predictive community ecology. Journal of Vegetation Science 3: 157-164. , climatic conditions are the first filter that species have to pass through. Seed dormancy is a key trait involved in the first steps of species establishment and a higher percentage of seeds with PY is expected at sites with lower precipitation (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ). In our study, even though a trend toward higher imbibition in the most humid population was observed, no statistically significant differences were found among populations arranged along the precipitation gradient considered. On the contrary, we did observed intra-population variability in three of the four populations, suggesting that most of the populations of V. aroma might have the ability to deal with the environmental variability that could be found at local scale.

The trend toward higher imbibition (lower PY) at the most humid extreme of the gradient could be related to the fact that in that portion of the gradient it would be favourable to have always an amount of seeds that could rapidly germinate and take advantages of the rainy events. In this sense, Jaganathan (2016Jaganathan GK. 2016. Influence of maternal environment in developing different levels of physical dormancy and its ecological significance. Plant Ecology 217: 71-79. ) suggested that when in the maternal environment the relative humidity and rainfall are high, seeds could develop a seed coat permeable to water. However, although the lack of significant differences found in our study could be due to the extent of our precipitation gradient, previous studies obtaining the expected pattern in seed with PY were performed in narrower or similar precipitations gradients (Norman et al. 2006Norman HC, Smith FP, Nichols PGH, Si P, Galwey NW. 2006. Variation in seed softening patterns and impact of seed production environment on hardseededness in early-maturing genotypes of subterranean clover. Australian Journal of Agricultural Research 57: 65-74.; Gresta et al. 2007Gresta F, Avola G, Abbate V. 2007. Germination ecology of Scorpiurus subvillosus L. seeds: the role of temperature and storage time. Plant Ecology 190: 123-130.). In particular, the study performed by Norman et al. (2006)Norman HC, Smith FP, Nichols PGH, Si P, Galwey NW. 2006. Variation in seed softening patterns and impact of seed production environment on hardseededness in early-maturing genotypes of subterranean clover. Australian Journal of Agricultural Research 57: 65-74. on three populations of Trifolium subterraneum in a precipitation gradient similar than our did find differences in initial dormancy but as the authors mention the differences were less marked than might be expected in view of the substantial precipitation differences among sites. Therefore, this previous study and our results suggested that maintaining high amount of dormant seeds along this type of precipitation gradients might be the most favourable strategy, although more studies are needed to confirm this trend. Finally, it has to be mention that temperature could be also involved in changes in the percentage of PY among populations -i.e., populations with higher temperatures generally exhibit higher percentages of seeds with PY (Jaganathan 2016Jaganathan GK. 2016. Influence of maternal environment in developing different levels of physical dormancy and its ecological significance. Plant Ecology 217: 71-79. ). However, in our study populations were chosen considering their notable differences in precipitations and not in temperatures. So, if temperature is the main responsible for the changes in PY, it remain to be explored what would occur in populations with greater differences in average temperatures.

The presence of intra-population variability might not only provide the species with a strategy to cope with local extreme events such as fires, it might also be a way of establishing in portions with particular microclimatic conditions -e.g., higher amount of humidity (Baskin & Baskin 2014Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press. ). Along the precipitation gradient selected in this study three of the four populations showed significant differences in intra-population variability in PY (i.e., Populations 1, 2 and 4). In this region fires are common (Jaureguiberry & Díaz 2015Jaureguiberry P, Díaz S. 2015. Post-burning regeneration of the Chaco seasonally dry forest: germination response of dominant species to experimental heat shock. Oecologia 177: 689-699. ), particularly of anthropogenic origin. Therefore, the intra-population variability observed in most of the populations may provide the capacity to respond to the variability of heat produced by fire in the soil (Liyanage & Ooi 2015Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131. ). Similar results were observed by Pérez-García (1997Pérez-García F. 1997. Germination of Cistus ladanifer seeds in relation to parent material. Plant Ecology 133: 57-62. ) in other Fabaceae species of fire-prone environments. Nonetheless, Liyanage & Ooi (2015)Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131. did not find intra-population differences in initial PY in four of the five species of fire-prone environments studied. This discrepancy between studies indicates that the ability to cope with local environmental heterogeneity may change among species, suggesting that in the future those species or populations that showed higher intra-population variability may have a higher capability to deal with climate change.

All in all, our study did not show inter-population variability in initial PY, however high intra-population variability was observed in most of the populations analysed. This intra-population variability could be hiding the main pattern reported in the literature in which at sites with lower precipitations the highest PY is observed (Hudson et al. 2015Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81. ). The intra-population variability could indicate a higher ability to cope with changes in environmental heterogeneity at the local scale, enhancing the chances of persisting under local extreme events. In addition, as far as we know this is the first work that evaluates inter- and intra-population variability along a precipitation gradient; therefore, more experiments should be conducted in other species, which would provide valuable information to enhance our understanding of the mechanisms regulating physical dormancy and how they might be related to species occurrence along different environmental gradients.

Acknowledgements

We are thankful to Jorgelina Brasca for revising the English style of the manuscript. Funding for this work was provided by Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET- PIP 0456 CO). We also thank the Universidad Nacional de Córdoba (UNC).

References

  • Baskin CC, Baskin JM. 2014. Seeds: ecology, biogeography, and evolution of dormancy and germination. 2nd. edn. San Diego, Academic Press.
  • Cochrane A, Yates CJ, Hoyle GL, Nicotra AB. 2015. Will among population variation in seed traits improve the chance of species persistence under climate change? Global Ecology and Biogeography 24: 12-24.
  • Di Rienzo JA, Casanoves F, Balzarini MG, Gonzalez L, Tablada M, Robledo CW. 2013. InfoStat version 2013. Córdoba, Grupo InfoStat, FCA, Universidad Nacional de Córdoba.
  • Ebinger JE, Seigler DS, Clarke HD. 2000. Taxonomic revision of South American species of the genus Acacia subgenus Acacia (Fabaceae: Mimosoideae). Systematic Botany 25: 588-617.
  • Fernández-Pascual E, Jiménez-Alfaro B, Caujapé-Castells J, Jaén-Molina R, Díaz TE. 2013. A local dormancy cline is related to the seed maturation environment, population genetic composition and climate. Annals of Botany 112: 937-945.
  • Ferreras AE, Funes G, Galetto L. 2015. The role of seed germination in the invasion process of Honey locust (Gleditsia triacanthos L., Fabaceae): comparison with a native confamilial. Plant Species Biology 30: 126-136.
  • Funes G, Venier P. 2006. Dormancy and germination in three Acacia (Fabaceae) species from central Argentina. Seed Science Research 16: 77-82.
  • Giorgis MA, Cingolani AM, Chiarini F, et al 2011. Composición florística del Bosque Chaqueño Serrano de la provincia de Córdoba, Argentina. Kurtziana 36: 9-43.
  • Gresta F, Avola G, Abbate V. 2007. Germination ecology of Scorpiurus subvillosus L. seeds: the role of temperature and storage time. Plant Ecology 190: 123-130.
  • Hudson AR, Ayre DJ, Ooi MK. 2015. Physical dormancy in a changing climate. Seed Science Research 25: 66-81.
  • Jaganathan GK. 2016. Influence of maternal environment in developing different levels of physical dormancy and its ecological significance. Plant Ecology 217: 71-79.
  • Jaureguiberry P, Díaz S. 2015. Post-burning regeneration of the Chaco seasonally dry forest: germination response of dominant species to experimental heat shock. Oecologia 177: 689-699.
  • Keddy PA. 1992. Assembly and response rules: two goals for predictive community ecology. Journal of Vegetation Science 3: 157-164.
  • Lacerda DR, Lemos Filho JP, Goulart MF, Ribeiro RA, Lovato MB. 2004. Seed-dormancy variation in natural populations of two tropical leguminous tree species: Senna multijuga (Caesalpinoideae) and Plathymenia reticulata (Mimosoideae). Seed Science Research 14: 127-135.
  • Liyanage GS, Ooi MK. 2015. Intra-population level variation in thresholds for physical dormancy-breaking temperature. Annals of Botany 116: 123-131.
  • Masaka K, Yamada K. 2009. Variation in germination character of Robinia pseudoacacia L. (Leguminosae) seeds at individual tree level. Journal of Forestry Research 14: 167-177.
  • Moreira B, Tavsanoglu Ç, Pausas JG. 2012. Local versus regional intraspecific variability in regeneration traits. Oecologia 168: 671-677.
  • Norman HC, Smith FP, Nichols PGH, Si P, Galwey NW. 2006. Variation in seed softening patterns and impact of seed production environment on hardseededness in early-maturing genotypes of subterranean clover. Australian Journal of Agricultural Research 57: 65-74.
  • Ooi MK, Auld TD, Denham AJ. 2012. Projected soil temperature increase and seed dormancy response along an altitudinal gradient: implications for seed bank persistence under climate change. Plant Soil 353: 289-303.
  • Ooi MK, Denham AJ, Santana VM, Auld TD. 2014. Temperature thresholds of physically dormant seeds and plant functional response to fire: variation among species and relative impact of climate change. Ecology and Evolution 4: 656-671.
  • Pérez-García F. 1997. Germination of Cistus ladanifer seeds in relation to parent material. Plant Ecology 133: 57-62.
  • R Development Core Team. 2014. R: A language environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from URL: Available from URL: http://www.r-project.org 26 Sep. 2016.
    » http://www.r-project.org
  • Seigler DS, Ebinger JE. 2005. New contributions in the genus Vachellia (Fabaceae: Mimosoideae) from the new world. Phytologia 87: 139-178.
  • Venier P, Funes G, García CC. 2012a. Physical dormancy and histological features of seeds of five Acacia species (Fabaceae) from xerophytic forests in central Argentina. Flora 207: 39-46.
  • Venier P, Carrizo García C, Cabido M, Funes G. 2012b. Survival and germination of three hard-seeded Acacia species after simulated cattle ingestion: the importance of the seed coat structure. South African Journal of Botany 79: 19-24.
  • Willis CG, Baskin CC, Baskin JM, et al 2014. The evolution of seed dormancy: environmental cues, evolutionary hubs, and diversification of the seed plants. New Phytologist 203: 300-309.
  • Woodward FI. 1987. Climate and plant distribution. Cambrige, Cambridge University Press.

Publication Dates

  • Publication in this collection
    13 Mar 2017
  • Date of issue
    Jan-Mar 2017

History

  • Received
    18 Nov 2016
  • Accepted
    23 Jan 2017
Sociedade Botânica do Brasil SCLN 307 - Bloco B - Sala 218 - Ed. Constrol Center Asa Norte CEP: 70746-520 Brasília/DF. - Alta Floresta - MT - Brazil
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