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Ecology |
2Departamento de Ecología Evolutiva, Instituto de Ecología, UNAM, A.P. 70-275, CP 04510, México, DF, Mexico; and 3Department of Ecology and Evolutionary Biology, University of California-Irvine, Irvine, California 92697-2525 USA
Received for publication January 21, 2003. Accepted for publication April 17, 2003.
| ABSTRACT |
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Key Words: carnivorous habit environmental heterogeneity insectivorous plants Lentibulariaceae Pinguicula
| INTRODUCTION |
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Because carnivorous plants usually occur in sites with nutrient scarcity, carnivory has been considered an adaptation to colonize nutrient-poor environments (Lüttge, 1983
; Juniper et al., 1989
; Ellison and Gotelli, 2001
). The nitrogen obtained through prey capture must compensate not only for nutrient scarcity, but pay for the maintenance of traps and the costs associated with the digestion of animal tissues (Givnish et al., 1984
; Benzing, 1987
). Givnish et al. (1984)
proposed that the maximum benefit of carnivory could only be achieved in wet, sunny habitats, where nutrient availability is the only factor limiting photosynthesis. Such a hypothesis assumes that different populations of carnivorous plants may be exposed to contrasting environments and make no predictions about the variation in prey availability. It is well known, however, that local insect abundance (the major prey of carnivorous plants) may vary strikingly from place to place and from one season to another (Karlsson et al., 1994
; Zamora, 1995
; Zamora et al., 1998
). Thus, in addition to the limitations of the physical environment, populations of carnivorous plants may be exposed to contrasting availabilities of prey and to different prey communities. The interaction between these two sources of environmental variation may produce a complex ecological scenario that has the potential to affect the selective pressures operating on the evolution of carnivory.
In accordance, in this study we characterized the physical (i.e., light, water, nitrogen availability) and the biotic (prey availability) environmental variation in five populations of the carnivorous plant Pinguicula moranensis var. neovolcanica (Lentibulariaceae). We then determined the relationship between environmental heterogeneity and the patterns of prey capture among populations and evaluated the effect of these variables on two fitness components: the probability of reproduction and bud production.
| MATERIALS AND METHODS |
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Study sites
Five populations of P. moranensis from central Mexico were chosen for this study, two from the state of Morelos and three from the state of Puebla (Fig. 1). The climate, substrate, and type of vegetation differ among the selected populations and include all the range of habitats and environmental conditions this species is exposed to in its area of distribution (Zamudio, 1999
). Populations from Morelos were located within a pineoak forest in the mountain range of Sierra de Tepoztlán (hereafter T1 and T2). The distance separating T1 and T2, which are both established on vertical sandstone cliffs, is about 100 m in a straight line. Populations from Puebla are established in a variety of environmental settings. The Lázaro Cárdenas population (LC) is located within an oak forest preserve near the city of Puebla. Plants of this population grow on the ground of an almost bare clay substrate. The fourth population is established in basaltic walls within a disturbed tropical dry forest, which is located around the Valsequillo Dam (VAL). Finally, plants from the Molcajac population (MOL) grow on small walls of limestone produced by water erosion. The area is a tropical arid scrub dominated by xerophytic vegetation. A detailed description of the climate and vegetation types can be found in Rzedowski (1981)
.
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Patterns of prey capture and prey availability
To characterize taxonomically the composition of the diet of P. moranensis, as well as the among-population differences in the average amount of prey captured, we made monthly censuses of the animals captured by almost all the plants from each population (N = 21 in T1, N = 60 in T2, N = 80 in LC, N = 80 in VAL, and N = 70 in MOL). Although monthly censuses may underestimate the amount of prey captured by plants if some prey are completely digested before the next sampling, this method allows us to compare the patterns of prey capture among populations. Censuses started at the beginning of the growing season (May) of 1994 and finished in August (1994) when most plants were producing the resistance rosette. In each census, the number and taxonomic identity (order or higher) of the prey captured by each plant were recorded. All trapped prey were left on the plants. Because prey of P. moranensis belong to many taxa of different sizes, the number of trapped individuals is not a good descriptor of the amount of resources gained by each plant. Thus, prey capture for each plant was expressed in terms of dry mass. The average mass of the different animals this species consumes was estimated by collecting between 20 and 50 individuals of each taxon from unmarked plants. In all cases, we took care when collecting recently trapped animals to avoid mistakes in estimates of mass from partially digested prey. All samples were oven dried for 7 d at 40°C and weighed individually to the nearest 0.005 mg (Cahn model 4700 Electrobalance, Cahn Instruments, Cerritos, California, USA). These values were then used to calculate the average mass of each taxon (k) individual (AMk). The total amount of dry mass captured by each plant during the growing season was estimated as
nk=1Nk x AMk, where Nk is the total number of prey of the k taxon captured by a given individual, and n is the number of taxa captured for all plants. Given that plant size (rosette area) is highly variable among the different individuals and that this attribute is probably associated with capture success, dry mass was standardized by the area of the rosette for each individual (in milligrams per square centimeter). In the middle of the growing season, all plants were filmed with a portable camera (Canon LP1, Canon, Tokyo, Japan), and rosette areas were estimated from the images using the Morphosys program (Meacham and Duncan, 1989
) following the procedures described in Domínguez et al. (1998)
.
The availability of prey in each population was estimated by means of artificial traps. Traps consisted of cardboard rectangles (8 x 10 cm) coated with an odorless glue (Tanglefoot, The Tanglefoot Company, Grand Rapids, Michigan, USA). Although Tanglefoot has a stronger adhesive power than plants, our method allowed us to estimate the availability of potential prey. Twenty traps were randomly placed in each population in the middle of the growing season (late July to early August) of 1994, when prey capture was previously observed to peak. All traps were placed directly on the substrate in a horizontal position and remained in the field for 1 wk, after which they were collected and the number and taxonomic identity of trapped animals were recorded. Data on the amount of biomass caught by artificial traps were expressed as milligrams per square centimeter using the same procedure for calculating the total biomass capture by plants (described earlier).
Reproductive responses
The reproductive responses of P. moranensis to its different environments were evaluated by measuring the probability of reproduction (proportion of reproductive plants per population) and the number of floral buds produced by each plant in every population. We used flower buds as a measure of the reproductive response of plants to environmental heterogeneity, because in doing so we avoided the variability brought about by possible differences in pollinator activity and composition among populations. Given that P. moranensis produces only one flower per stalk, bud production on every plant could be tallied in detail. Because we made monthly censuses of all plants in every population (see earlier), the presence of developing floral buds was annotated, and stalks were tagged with small plastic bands.
Data analyses
Environmental variation
Because environmental variables may be correlated, environmental variation among populations was analyzed by means of multivariate methods. Overall differences among populations were evaluated by means of a multivariate analysis of variance (PROC GLM, SAS, 1989
). To summarize environmental differences among populations, a principal factor analysis was performed (PROC FACTOR, SAS, 1989
). Principal factors were extracted through the maximum-likelihood method, and the number of factors to be retained was determined with a chi-square test. To maximize the amount of variance explained by the retained factors, the factors were rotated following the varimax method (Reyment and Jörekskog, 1993
). Finally, once principal factors were rotated, factor scores were calculated using the PROC SCORE in SAS (1989)
, and these scores were used as comprehensive descriptors of environmental variation among populations.
Patterns of prey capture and prey availability
The among-populations differences in the relative abundance of prey from different taxa were compared separately for plants and traps using chi-square tests. For these analyses, taxonomic groups of prey with low relative abundance were pooled into one category (Sokal and Rohlf, 1995
). To compare the composition of the prey captured with the availability of prey from different taxa in each population, we performed a series of goodness-of-fit analyses (log-likelihood G test; Sokal and Rohlf, 1995
). The expected number of prey from taxon i captured in population j was estimated as the product Neij =
ij x NPj, where
ij is the probability of capturing an individual of taxon i in population j (
ij = NCij / NTj, where NCij = number of individuals from taxon i caught by the adhesive traps in population j, and NTj = total number of captures by adhesive traps in population j), and NPj = total number of prey captured by plants in population j. Each population was independently analyzed.
Environmental variation, prey availability, prey capture, and reproductive responses
We explored whether prey availability, prey capture, and bud production differ among populations and if they were related to environmental variation. Because each population contains several nonindependent observations (plants within populations), a series of regression models with replicates were performed (regression with more than one value of y for each x, Sokal and Rohlf, 1995
). This method avoids the overestimation of the degrees of freedom brought about by the several measures of individual plants in each population and allows for the estimation of both the categorical (populations) and the continuous (the environmental gradient) variables. Environmental variation was characterized using the mean value of the scores derived from the first and second principal factors for each population. These values were then used as independent variables in the regression analyses.
| RESULTS |
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2(28) = 1258.01, P < 0.0001). Such differences are mainly due to the contrasting contributions of Lepidoptera, Acarina, and Coleoptera among the populations (see Fig. 3). Once the number of captured prey was corrected by the average amount of biomass contributed by an individual of a given taxon, Diptera continued to be the most important prey of P. moranensis (80.5%), Lepidoptera almost doubled its contribution (9.9%), and despite the relatively high number of Acarina individuals caught by plants, their contribution fell from 4.7 to 0.45%.
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2(28) = 233.24; P = 0.00001; see Fig. 3BF). The observed and expected number of prey from each taxon also differed markedly within each population (G test, P < 0.00001 for all populations). In all cases, plants trapped more Diptera than expected, while all the other groups of prey were underrepresented in most populations. Plants from the LC and VAL populations also trapped more Acarina and Coleoptera (LC) and Acarina and Lepidoptera (VAL) than expected by their relative abundances. These results indicate that the taxonomic composition of prey found in P. moranensis is not a random sample of the prey available within populations.
Prey capture was restricted from early June to mid-September (Fig. 4). For most populations, the median number of captures per plant increased until it reached a peak between August and September, followed by an abrupt decrease as capture leaves senesced.
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In almost all cases, the effect of the deviations from the regression line was significant (Table 1), suggesting the existence of a large amount of random variation around the regression lines (see Sokal and Rohlf, 1995
).
| DISCUSSION |
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Differences in prey availability among populations were not restricted to the amount of prey (number of prey or dry mass), but also included the relative abundance of prey from different taxa. Although Diptera was the most common group caught in adhesive traps in all populations, there were marked differences in the relative abundance of almost all groups. For example, coleopterans were more abundant at the driest and sunny populations (VAL and MOL), whereas Diptera and Acarina had the opposite pattern. Thus, besides the physical heterogeneity associated with the different populations of P. moranensis, quantitative (prey availability) and qualitative (the relative abundance of prey from different taxa) differences in the biotic environment increased the amount of variation to which this species is exposed. Overall, our results revealed a marked amount of physical and biotic environmental heterogeneity among the populations of P. moranensis.
Given this heterogeneous scenario, it was not surprising that all our measurements of prey capture (the relative contribution of each group of prey, the median number of prey captured per plant, and the biomass of prey captured per individual) significantly differed among populations. In all cases, there was a marked difference between the taxonomic composition of the prey available within a population and that of prey actually caught by plants. Three other studies using different species of Pinguicula found evidence of an over-representation of certain taxa trapped by plants in comparison to artificial traps (Karlsson et al., 1987
; Antor and García, 1994
; Zamora, 1995
). Although the over-representation of some groups of prey has been interpreted as a consequence of the color and smell of leaves, no mechanism of prey attraction has definitively been established for Pinguicula. According to Zamora (1990
, 1995
), the taxonomic composition of the diet of Pinguicula nevadensis and P. vallisneriifolia was determined by the interaction between prey size and the retention capacity of the mucilage produced by plants. Because the retention capacity of mucilage depends on environmental conditions (Zamora, 1995
) and because composition of prey caught among populations differed markedly, our results are better explained by the association between environmental variation and mucilage retention.
Environmental heterogeneity, expressed as the TNHL gradient, also affected the amount of biomass of prey captured per individual. Prey capture (dry mass) increased from the sunniest and relatively dry habitats (MOL and VAL) to the most humid, shady, and N- and prey-rich populations. Although prey capture had a positive relationship with the TNHL gradient, both the probability of reproduction and bud production were maximized at LC, a population characterized by intermediate values of PAR, prey abundance, and water availability. This result indicates that plants in prey-rich habitats (T1 and T2) failed to take advantage of the relatively high amount of prey they captured and suggests that carnivory cannot compensate for the diminished photosynthesis associated with the lower availability of PAR in the shadiest populations. These results agree with the experimental evidence provided by Zamora et al. (1998)
that showed that plants of P. vallisneriifolia growing in deep shade were unable to benefit from experimental prey addition. Furthermore, although both prey availability and prey capture (in milligrams per square centimeter) peaked at T2, no sexual reproduction was observed in this population, suggesting that light, more than prey or water availability, is one of the main factors determining successful reproduction in P. moranensis.
Givnish et al. (1984)
proposed that carnivory is adaptive only in nutrient-poor environments that are well lit and moist. It is assumed that the photosynthetic costs of carnivory exceed the benefits in either shady or dry habitats. Our results showed that carnivorous plants might colonize a broad range of environmental conditions ranging from pineoak forests to tropical desert scrublands. Nonetheless, none of these habitats seems to attain the optimum combination of resources (well-lit, moist, high abundance of prey). The site with the poorest soil and relatively high levels of PAR was associated with the lowest availability of prey, high temperatures, and the driest soil. On the other extreme, populations with relatively nitrogen-rich and humid soils also had the highest availability of prey, low temperatures, and low levels of PAR. Thus, although water and prey availability were relatively high at the shade extreme of the environmental gradient, plants inhabiting these populations were probably limited by irradiance. The opposite extreme of the gradient had plenty of light, but both prey and water were scarce. In fact, the maximum reproductive output was attained in LC, a population with intermediate values of the relevant variables. In this respect, our results are more in accordance with the model proposed by Benzing (2000)
that allows for explicit trade-offs between light, moisture, and nutrient (prey) availability. His model predicts that carnivory may occur in a variety of light regimes because of trade-offs associated with these two other niche axes.
We have shown in this study that different populations of P. moranensis face contrasting ecological scenarios, which may influence the interaction between carnivorous plants and their prey. Provided that such differences have fitness consequences, they could establish an ecological scenario favoring adaptive differentiation among populations of this carnivorous species (Bradshaw, 1972
; Sork et al., 1993
; Linhart and Grant, 1996
).
| FOOTNOTES |
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4 Author for reprint requests (tejada{at}servidor.unam.mx
) ![]()
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