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Environmental control of germination in semi-arid Mediterranean systems: the case of annuals on gypsum soils

Published online by Cambridge University Press:  29 May 2014

Ana M. Sánchez*
Affiliation:
Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, c/Tulipán s/n Móstoles, 28933 Madrid, Spain
Arantzazu L. Luzuriaga
Affiliation:
Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, c/Tulipán s/n Móstoles, 28933 Madrid, Spain
Ana L. Peralta
Affiliation:
Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, c/Tulipán s/n Móstoles, 28933 Madrid, Spain
Adrián Escudero
Affiliation:
Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, c/Tulipán s/n Móstoles, 28933 Madrid, Spain
*
*Correspondence E-mail: ana.sanchez@urjc.es
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Abstract

Whether or not it is time for germination is a dilemma for annuals since they have only a single opportunity to reproduce successfully. This is critical for species living in stressful and unpredictable environments such as Mediterranean habitats. In order to clarify the environmental cues of germination, four annuals of different families, all of them occurring very frequently on gypsum soils, were selected and their germination observed under 14 climate scenarios, mimicking temperature and photoperiod conditions from autumn to spring, at two levels of water availability (continuous irrigation versus an initial single irrigation event followed by a progressive soil desiccation). In spring scenarios, two seed-storage conditions were compared: dry cold and room conditions. In the absence of water limitation, germination decreased from early autumn to late spring. Water scarcity always reduced germination, especially in early spring. Our results suggest a facultative winter germination behaviour and highlight the crucial role of dry cold storage in reducing spring germination. In conclusion, Mediterranean ephemerals showed a very plastic germination response that allows them to take advantage of favourable environmental conditions from autumn to spring. This environmental cueing is combined with the ability to dilute the risk through a variable rate of seed dormancy that, according to bet-hedging strategies, increases from secure autumn to riskier spring.

Information

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Table 1 Seed mass (100 seeds) and soil seed bank properties (unpublished data). Soil samples were collected prior to autumn germination (total seed bank), and after spring germination, but prior to seed dispersal (persistent seed bank)

Figure 1

Table 2 Environmental conditions set in each of the 14 experimental scenarios according to photoperiod (month of reference for each season: autumn, winter and spring), temperature (cool and warm), water availability (single irrigation and continuous irrigation) and, only for spring scenarios, winter storage (cold dry storage and room storage)

Figure 2

Table 3 Quasi-binomial GLMs for germination of the four studied species. Standard errors were corrected using a quasi-binomial GLM model and logit link function. Likelihood ratio test (LR) chi-squares are indicated. *P<0.05; **P<0.01; ***P<0.001. D-squared (D2), amount of deviance accounted for each model, is also provided

Figure 3

Figure 1 Final germination percentage along the simulated season under two different water availability treatments: (A) initial single irrigation and (B) continuous irrigation. Different letters indicate significant differences among simulated seasons for each species (Tukey test, P< 0.05). As, Alyssum simplex; Hs, Helianthemum salicifolium; Pa, Plantago afra; Zh, Ziziphora hispanica.

Figure 4

Table 4 χ2 and P values from the comparison of Kaplan–Meier germination curves between experimental scenarios, in single (white) and continuous irrigation (shaded) treatments. W-A, warm autumn; C-A, cool autumn; W-W, warm winter; C-S, cool spring; W-S, warm spring. Spring scenarios were performed with cold dry stored seeds. Significance levels: *P<0.05, **P<0.01, ***P<0.001

Figure 5

Figure 2 (colour online) Germination curves by means of the Kaplan–Meier method for every scenario. Continuous irrigation: solid line; single irrigation: dotted line. Significance levels: *P< 0.05, **P< 0.01, ***P< 0.001.

Figure 6

Table 5 Environmental effects on final spring germination tested by means of quasi-binomial Generalized Lineal Models (GLMs) using logit link function. LR chi-squares are indicated together with their significance levels: *P<0.05, **P<0.01, ***P<0.001. D-squared (D2), amount of deviance accounted for each model, is also provided.

Figure 7

Figure 3 (colour online) Spring germination curves by means of the Kaplan–Meier method. Curves compare germination of cold dry stored seeds versus seeds stored at room conditions, under both cool and warm spring scenarios. Significance levels: *P< 0.05, **P< 0.01, ***P< 0.001.