Introduction

It has been demonstrated that global warming already induces altitudinal and latitudinal plant migration in different parts of the world (e.g., Malcolm et al. 2002; Parmesan and Yohe 2003). Despite the ecological significance of forest herbs for temperate forest ecosystem biodiversity, competitive interactions, linkage with overstorey, and ecosystem functioning in general (Gilliam 2007), knowledge about the effects of climate warming on their phenology, growth, reproduction, and future distribution is largely lacking (but see Farnsworth et al. 1995; Svenning and Skov 2006; Jochum et al. 2007; De Frenne et al. 2009). Since it has been shown that many forest herbs are slow colonizers (Verheyen et al. 2003; Hermy and Verheyen 2007), climate change may hamper possible migration. This might impose a serious threat to their survival (Honnay et al. 2002). In order to predict future response of forest herbs to climate warming, there is an urgent need to better understand the potential effects of warming on vegetative growth, seed production and germination for these species (e.g., Hovenden et al. 2008).

Various temperature manipulation systems have been applied worldwide to study the influence of climate warming on ecosystems (e.g., Marion et al. 1997; Kimball 2005; Netten et al. 2008). The use of open-top chambers (OTCs) is the most common, simplest, and cheapest approach. OTCs are small greenhouses made of translucent Plexiglas with inclined walls and an open top. They passively heat a small vegetation plot by capturing solar radiation and protecting against wind. Several studies report on the use of OTCs in open-field ecosystems such as tundra (Arft et al. 1999; Hollister and Webber 2000; Danby and Hik 2007), alpine meadows (Totland and Nylehn 1998; Totland 1999; Kudernatsch et al. 2008), and South African quartz-fields (Musil et al. 2005). We are, however, aware of only one single study using OTCs to create a rise in temperature in a forest ecosystem (a 60-year spruce plantation at 3,110 m a.s.l. in China) examining seedling growth and physiology of two conifers (Yin et al. 2008).

In the present study, we aimed to find out whether OTCs can be used in a deciduous temperate forest ecosystem to assess the impact of a rise in temperature on herbaceous understorey plant species. We examined Anemone nemorosa L. (Ranunculaceae) which may be considered a model species for (European) slow colonizing herbaceous forest plant species. The present study is, according to our knowledge, the first to use open-top chambers for warming purposes in deciduous forest. Since it can be expected that the efficiency of OTCs is lower in forests than in open-field ecosystems due to its specific properties (shading, moist soils, lower wind speed, etc.), half of the OTCs were additionally covered with a permeable polypropylene fleece allowing both air and moisture exchange, but minimizing turbulence and potentially increasing the temperature difference with the ambient controls.

We specifically addressed the following question from a purely methodological point of view: are OTCs useful devices to gain insight in the impact of a warming climate on herbaceous understorey plants in a temperate deciduous forest ecosystem? Hence, the OTCs must fulfill the following criteria: (1) temperature is increased adequately and in a realistic manner compared to the IPCC predictions (IPCC 2007) and (2) ecological abiotic and biotic drawbacks of the OTCs are limited. Furthermore, given the high degree of phenotypic plasticity of A. nemorosa (Shirreffs 1985; De Frenne et al. 2009), a certain response in a trait of this forest herb to OTC installation, increases the potential usefulness of this experimental warming method.

Materials and methods

Study species

Wood anemone, Anemone nemorosa L. (Ranunculaceae), is a perennial and vernal forest geophyte common in deciduous temperate European woodlands, but it can also be found in W-Asia. It grows mostly in ancient forest (sensu Hermy and Verheyen 2007) on rich, usually not too acidic soils, moist to wet and can sustain in open areas (Shirreffs 1985). Shoots emerge between February and May and flowering starts a few weeks later. Flowers (one per shoot) are typically white, hermaphrodite, and mostly self-incompatible and insect-pollinated, although selfing occurs (Müller et al. 2000). The nuts (usually 10–30 per ramet) containing a single seed are mainly gravity-dispersed between May and June, but myrmecochory occurs as well (Delatte and Chabrerie 2008). Seeds do not form a persistent seed bank (Eriksson 1995). Vegetative spread through rhizomes is common (Brunet and von Oheimb 1998; Philipp and Petersen 2007) but reproduction through seeds, however, is considered to be most important for population maintenance and spread (Brunet and von Oheimb 1998; Müller et al. 2000; Stehlik and Holderegger 2000). Anemone nemorosa has typically low colonization rates (Verheyen et al. 2003), which may impose a threat if migration would be necessary when climate changes. It is actually one of the most cited ancient forest plant species (e.g., Verheyen et al. 2003).

Study area

The Aelmoeseneie forest (50°58′N, 3°49′E, 16 m a.s.l.) is a temperate mixed deciduous forest near Ghent in central Belgium, ca. 60 km from the North Sea. The forest has a total area of 28 ha and the dominant trees are about 85 years old. Mean (1961–1990) annual precipitation amounts to 821 mm, and is evenly distributed throughout the year. Mean annual temperature is 9.7°C, mean temperature of the coldest and warmest month is 2.5 and 17.2°C, respectively (FAO 2005). The fenced study area is located in a forest stand dominated by ash (Fraxinus excelsior L.) and pedunculate oak (Quercus robur L.). The approximate time of canopy flush for Q. robur (expressed as the date when the first completely unfolded leaves are visible) was around 5 to 10 April in both 2008 and 2009. The forest soil has developed from a quaternary layer of sand loam (0.5–1 m) on a shallow impermeable clay and sand complex of tertiary origin and is classified as Gleyic Cambisol in the World Reference Base (ISS-ISRIC-FAO 1998). Anemone nemorosa is widely distributed, carpeting the forest soil and dominating the ground vegetation until June. Lamiastrum galeobdolon (L.) Ehrend. & Polatschek, Oxalis acetosella L., Polygonatum multiflorum (L.) All. and Hedera helix L. co-occur.

Experimental design

To simulate climate warming, six hexagonal open-top chambers (OTCs) (cf. Marion et al. 1997; Hollister and Webber 2000) were installed to passively warm small vegetation plots within the natural carpeting A. nemorosa community with >90% cover. The OTCs were 60 cm high; one side was 66.4 cm at the base and 34.6 cm at the top and covered a surface area of 1.15 m2. The OTCs were made of extruded polycarbonate (VIS & UV light transmission 86%, IR light transmission <5%, DIN 5036) (Quinn Plastics, Derrylin, Northern Ireland). The open-top design allows free air exchange and is said to minimize undesirable chamber effects as changed precipitation, gas and humidity concentrations, and exclusion of pollinators or herbivores (Marion et al. 1997; Kanerva et al. 2005; Netten et al. 2008). To create a warming gradient, half of the open-top chambers (n = 3) were additionally covered with permeable 17 g m−2 polypropylene GardenFleece (GF; light transmission is 90.3% between 250 and 800 nm wavelength; Freudenberg, Vliesstoffe KG, Kaiserslautern, Germany) allowing both air and moisture exchange with the environment, but minimizing turbulence. The GF was attached on the top edges of the OTCs, into a small, light, and hexagonal wooden frame which could be lifted to carry out the field work inside the plots.

In the near vicinity of each OTC, an 80 × 80 cm2 control plot (0.64 m2; n = 6) was established. The OTCs and paired control plots were randomly installed in areas with expected equal cover percentages of A. nemorosa on 1 February 2008 before emergence of the shoots. Hence, three treatments were applied: control plots (C), open-top chambers (OTC–GF) and open-top chambers covered with GF (OTC+GF). Measurements of the first growing season were finished on 8 May 2008.

Abiotic variables (Table 1)

To characterize the abiotic conditions in the OTCs in comparison with the control plots, soil surface temperature (in the litter layer; 0 cm depth) and air temperature (10 cm above ground level) were measured at 15-min intervals inside two OTCs−GF, two OTCs+GF and two control plots using Decagon ECT Temperature probes connected to Decagon Em50 dataloggers (Decagon Devices Inc., Pullman, WA, USA). Furthermore, daytime relative air humidity (10 cm above ground level; RH) was measured in all plots every 5 days with an Eijkelkamp Portable P4.01 logger (Eijkelkamp Agrisearch Equipment, Giesbeek, The Netherlands) in April 2008 (n = 6). To evaluate the effect of the permeable GF on precipitation amount, six manual rain gauges were installed in an open-field grassland area adjacent to the forest stand, of which half were covered with GF (n = 3). Cumulative precipitation was measured weekly between 20 March and 16 May 2008.

Table 1 Response variable groups and variables, units, abbreviations, and the level and year in which variables were analyzed

Biotic variables (Table 1)

To have an estimate of phenological development, the number of open flowers per plot was counted twice a week (every 3–5 days) from the date the first individual flowered (25 February 2008) until all flowers had disappeared (1 May 2008). Flowers were considered open when the anthers were visible and thus exposed to pollinators. To have an estimate of maximal plant growth, total plant height (incl. flowers) of the eight highest wood anemones per plot (evenly spread per quadrant) was measured weekly. Furthermore, at the stage of seed maturity (see further), we harvested and determined the total oven-dried (50°C) above-ground dry matter biomass per plot (TADM, kg ha−1).

Ten random individuals (above-ground ramets) per plot were selected for further analysis from the harvested material. These ramets were flat oven-dried to constant mass (50°C). Leaf area (LA, mm2) was measured with a Li-Cor Portable Area Meter Li-3000 (Li-Cor Biosciences, Nebraska, USA). Leaf dry matter (LDM, mg) was weighed to the nearest 0.1 mg. Specific leaf area (SLA, mm2 mg−1) for the ten ramets per plot was calculated by dividing LA by LDM. Finally, leaf samples were pooled per plot and analyzed for total N (modified method of Kjeldahl) and total estimated C (loss on ignition, 4 h at increasing temperature until 450°C, [%C = (100 − % of ashes residue)/2]). C/N ratio was calculated by dividing C by N.

At the stage of seed maturity (8 May 2008), we collected the nuts (hereafter referred to as seeds) of ten randomly chosen ramets per plot. Seeds were considered mature when natural dispersal began (Baskin and Baskin 1998), i.e., when seeds fell easily from the plant. The seeds were air-dried at room temperature for 2–3 weeks. For each ramet, all seeds were counted, weighted (to the nearest 0.1 mg), and total number of seeds and mean seed mass (total seed mass/total number of seeds) were calculated. Per plot, 20–50 seeds (number was dependent on the availability) were randomly distributed in three Petri dishes lined with moist filter paper (Macherey–Nagel 440B) and placed in temperature-controlled incubators. Since A. nemorosa seeds germinate in autumn (Mondoni et al. 2008), seeds were given 8 weeks warm stratification (23°C) and subsequent cold stratification (10°C). Filter papers were kept moist with distilled water during the experiment. The number of germinated seeds (seeds with emerged radicle) was recorded weekly for 16 weeks after transfer to 10°C until germination had ceased in all dishes.

In-depth study OTCs−GF

To give a well-documented judgment on the OTCs−GF, an in-depth study of these open-top chambers was performed to gain insight in other possibly co-varying abiotic conditions. Therefore, five OTCs−GF and five paired control plots (all characteristics of plots and OTCs were identical to the 2008 design) were installed in a similar site ca. 100 m from the site where the first growing season measurements were performed (measurements from 17 September 2008 to 8 May 2009).

Soil temperature (5 cm depth), soil surface temperature (in the litter layer, 0 cm depth), air temperature (10 cm above ground level), relative air humidity (10 cm above ground level, %) and soil moisture (0–5 cm depth) were measured at 40-min intervals between 17 September 2008 and 8 May 2009 inside two randomly selected OTCs−GF and two control plots using Decagon EHT RH/Temperature, ECT Temperature, and EC-5 Soil Moisture probes connected to Decagon Em50 dataloggers. Furthermore, changes in light quantity and CO2 concentration were quantified. Photosynthetically active radiation (PAR) was measured with a Spectrum Technologies (Illinois, USA) PAR 3668 sensor connected to a Watchdog 425 datalogger at a 1-min interval for 5 days in February 2009 (before canopy flush). The sensors were used randomly within the five OTCs and control plots. A Bruël and Kjaer (Veenendaal, The Netherlands) Multigasmonitor Type 1302 was used to measure CO2 concentration in the five OTCs−GF and control plots on 7 April 2009 (before canopy flush) at 10 cm above ground level (Table 1).

Data analysis

Phenological advancement of height growth was analyzed by a repeated-measures general linear model (GLM) with time as within-subjects factor and treatment as between-subjects factor. Flowering phenology from OTCs and controls within one time period was compared using a Kruskal–Wallis test.

To compare characteristics of A. nemorosa (see Table 1) between the OTCs and control plots, their effect size was calculated as the natural logarithm of the ratio of the experimental mean to the control mean (according to Arft et al. 1999; Hedges et al. 1999):

$$ E = \ln \left[ {{\frac{{x_{\text{OTC}} }}{{x_{\text{CONTROL}} }}}} \right] $$
(1)

with E = effect size and x = means of response variables for the OTCs and control plots.

Use of the natural logarithm linearizes the metric ratio (it treats deviations in the numerator the same as deviations in the denominator) and provides a more normal sampling distribution in small samples (Hedges et al. 1999).

In the case of germination percentage, an adapted effect size E′ was calculated as

$$ E' = \ln \left[ {{\frac{{x_{\text{OTC}} + 1}}{{x_{\text{CONTROL}} + 1}}}} \right] $$
(2)

since some OTC plots had zero germination percentage.

Biotic data available on ramet level (Table 1) were first tested on assumptions of normality and homogeneity of variances and then analyzed with a GLM with plot as block factor nested within treatment (three levels: OTC+GF, OTC−GF, and control) and a Bonferroni post-hoc test. Because of limited sample size, effect sizes of data available on plot level (Table 1) were analyzed with a Wilcoxon signed rank test. All analyses were performed with SPSS 15.0 and S-Plus 8.0.

Results

Abiotic effects first growing season

Between 1 February and 8 May 2008, average air and soil surface temperatures were higher in the OTCs compared to the control plots: in the OTCs−GF, average air and soil temperatures were +0.06 and +0.28°C higher, while in the OTCs+GF, air and soil temperatures increased by +0.44 and +1.19°C (Table 2). Daytime relative humidity was +10.6% [95% confidence interval: 7.2–14.1%] and +31.0% [27.9–34.2%] higher in the OTC−GF and the OTC+GF plots, respectively, compared to the control plots in April 2008 (for all time periods: Kruskal–Wallis Chi-square >9.57, df = 2, p < 0.01). Cumulative precipitation decreased by 13.4% in the rain gauges covered with GF compared to the open rain gauges (Wilcoxon rank-sum statistic Z = 1.964, n = 3, p = 0.050). Considering the fact that the variability of the precipitation flux in our study plot ranges between 40 and 80% of the open-field precipitation (Staelens et al. 2006), this 13% decreased precipitation flux in the OTC+GF-plots falls within the natural internal variation of our study plot.

Table 2 Mean and monthly air temperature (T air, °C) at 10 cm above ground level, soil surface temperature (T surface, °C) in the litter layer and soil temperature (T soil, °C) at 5 cm depth below the soil surface in the control plots between 1 February and 8 May 2008 and 17 September 2008 and 8 May 2009 in the Aelmoeseneie forest (left). Mean and monthly differences between open-top chambers without GardenFleece (OTC−GF) versus the control plots and between open-top chambers covered with GardenFleece (OTC+GF) versus the control plots are shown in the other columns. Positive numbers there denote a temperature increase in the OTCs

Biotic effects

Both open-top chamber types altered some aspects of the growth and reproduction of A. nemorosa. While flower emergence was not affected, flower senescence was accelerated in the OTC+GF treatment compared to OTC−GF and the control plots (Fig. 1). Plant height was significantly increased (F = 5.88, df hypothesis = 14, df error = 208, p < 0.001) in both OTC treatments compared to the controls (Fig. 2). Total above-ground dry matter (TADM; signed-rank statistic Z = −0.53, p = 0.593, and Z = 0, p = 1, respectively, for OTCs+GF and OTCs−GF), specific leaf area (SLA; F = 0.784, df hypothesis = 2, df error = 9, p = 0.485), leaf N, leaf C, and leaf C/N ratio (all |Z| < 1.34, p > 0.180) did not change significantly in both OTC-types in comparison to the controls (Fig. 3).

Fig. 1
figure 1

Influence of open-top chamber installation on phenological advancement of A. nemorosa’s flowers expressed as a percentage of flowering ramets at a particular date to the maximum number of flowering ramets per plot (mean ± SE) in the control (C) and open-top chambers covered with (OTC+GF) and without (OTC−GF) GardenFleece. Significance levels from Kruskal–Wallis test: (*), p < 0.1; *, p < 0.05

Fig. 2
figure 2

Influence of open-top chamber installation on height growth (mean ± SE) with time (Julian day) of A. nemorosa per plot in the control (C) and open-top chambers covered with (OTC+GF) and without (OTC−GF) GardenFleece. Significance level from repeated-measures GLM

Fig. 3
figure 3

Influence of open-top chamber installation on growth and chemical composition of the leaves of A. nemorosa (mean effect size ± SE). Total above-ground biomass (TADM; kg ha−1), specific leaf area (SLA, mm2 mg−1), leaf nitrogen (N), leaf carbon (C) and C/N ratio of A. nemorosa in the open-top chambers covered with (OTC+GF) and without (OTC−GF) GardenFleece compared to the control. No significant differences

A negative effect on number of seeds per individual in the OTCs+GF (F = 9.95, df hypothesis = 2, df error = 9.15, p = 0.005) was detected, while seed mass (F = 0.64, df hypothesis = 2, df error = 9.05, p = 0.550) and germination percentage (Z = −1.604, p = 0.109) were not significantly influenced (Fig. 4).

Fig. 4
figure 4

Influence of open-top chamber installation on reproduction of A. nemorosa. Seed number per individual, seed mass (mg), and germination percentage (%) (mean effect size ± SE) of A. nemorosa in the open-top chambers covered with (OTC+GF) and without (OTC−GF) GardenFleece compared to the control plots. Significance levels from Wilcoxon test for germination percentage (plot level) and Bonferroni post-hoc test for seed number and seed mass (ramet level): (ns), p > 0.1. **, p < 0.01

In-depth study OTCs−GF

Temperature differences between the OTCs−GF and control plots in the second study period were comparable to the first growing season and increased from the air (+0.38°C) over the surface (+0.41°C) to the soil temperature (+1.15°C). As in the first growing season, (1) temperature differences between the OTCs−GF and controls decreased after canopy flush, and (2) temperature differences increase from the air temperature, over the soil surface temperature to the soil temperature at 5 cm depth (Table 2).

Continuous RH measurements in the OTCs−GF gave a slight increase of +1.2% RH in the OTCs−GF compared to the control plots in the second growing season. Photosynthetically active radiation (PAR) decreased by −7.5% (from an average of 67.4 to 62.4 μmol m−2 s−1, respectively) in the OTCs−GF compared to the control plots before canopy flush. The concentration of CO2 gas in the OTCs−GF was not significantly different from the CO2 concentration in the control plots (466.4 ppm in the control plots vs. 470.0 ppm in the OTCs−GF; Wilcoxon’s Z = −1.273, n = 5, p = 0.203). Furthermore, volumetric soil moisture was +1.6% higher in the OTCs−GF compared to the control plots (18.1 vs. 16.5 vol%, respectively).

Discussion

Temperature elevation in OTCs

Mean air, soil surface, and soil temperature were found to increase by 0.4°C to 1.15°C in OTCs. The temperature increase in the OTCs−GF compared to the control plots is highest in the leafless period (February and March 2008 and October 2008 to March 2009), whereas the OTCs+GF maintained a similar temperature elevation after canopy flush. Although the IPCC (2007) predicts a median increase in annual temperature of +3.2°C by 2080–2099 in northern Europe, this increase will only be reached over a century. Hence, an abrupt increase of 3°C is more unrealistic than an increase of 1°C. Comparable temperature elevations were also reported by Yin et al. (2008) for OTCs placed in a 60-year spruce plantation in China wherein air temperature rose with 0.51°C and soil surface temperature with 0.34°C between April and September. Several studies, however, report on significantly higher temperature elevations when OTCs are placed in open-field ecosystems. Musil et al. (2005) installed OTCs in arid African quartz-fields and measured +5.5°C average warming. Also, Marion et al. (1997) report an average temperature elevation of 1.2–1.8°C in OTCs placed in tundra ecosystems around the world. In German alpine meadows, Kudernatsch et al. (2008) measured an increase of 0.7–1.4°C for air temperature and 0.2–0.8°C for soil temperature. The apparently lower temperature enhancements in forest ecosystems after canopy flush compared to open-field ecosystems are probably due to specific characteristics of forests: (1) the overstorey produces shade, (2) causes spectral shifting of penetrating solar radiation (Daws et al. 2002), which lowers the radiation-capturing capacity of the polycarbonate OTCs, (3) tempers average wind speed making the OTCs less effective and (4) moist litter layers furthermore tend to heat slower than for example dry African quartz-fields or mineral arctic soils (see also Yin et al. 2008).

Response of A. nemorosa to OTC installation

Several global meta-analyses and warming experiments document significant advancements of spring events such as flowering and fruiting (Fitter et al. 1995; Dunne et al. 2003; Parmesan and Yohe 2003; Sherry et al. 2007). In the present study, however, we did not observe a phenological acceleration of A. nemorosa flowers in the first spring after experimental warming was started. However, Tyler (2001) analyzed a 12-year flowering time series of A. nemorosa in Sweden and came to the conclusion that none of the temperature variables determined flowering of wood anemone. This might indicate that A. nemorosa may be one of the species whose phenology will not be affected by climate warming, maybe due to the role of photoperiodism in initiation of flowering (Yan and Wallace 1996), especially for spring species.

The accelerated flower senescence in the OTCs+GF plots cannot be caused by the absence of pollinators by the GF barrier (see further), since it is known that pollination accelerates senescence and cell death in the petals of flowers (Hadfield and Bennett 1997). The earlier senescence may be caused by two other (co-)occurring factors: (1) temperature elevation leads to faster development and senescence of flowers (Rubinstein 2000) and (2) relative air humidity elevation in the OTCs+GF may have caused growth of fungi and petal senescence is often hastened by wounding of the flower parts (Rubinstein 2000).

Both temperature treatments induced similar height growth of A. nemorosa, and may be caused by the fact that soil temperature at −5 cm increased more than soil surface temperature in open OTCs, which might be important for geophytes such as A. nemorosa. These results are consistent with other warming experiments that showed plant species to grow better or higher when there are no other limiting factors (nutrients, water, etc.) (e.g., Parsons et al. 1994; Totland and Nylehn 1998; Arft et al. 1999; Kudo and Suzuki 2003; Danby and Hik 2007; Yin et al. 2008).

Specific leaf area nor leaf C, N, or C/N ratio were affected in both treatments. Earlier studies found both increased (Loveys et al. 2002; Yin et al. 2008) and stable SLA (Suzuki and Kudo 1997; Lemmens et al. 2006) for different plant species following warming manipulations (for an overview, see Poorter et al. 2009). Despite the fact that individuals grew taller (see above), TADM (plot level) was not affected in both treatments as was the case in sub-arctic tundra vegetation warmed with OTCs in Abisko (Sweden) (Parsons et al. 1994). This might be caused by size-density compensation (Totland and Nylehn 1998).

To conclude: the vernal forest geophyte A. nemorosa showed a phenotypic response in certain plant traits to the rise in temperature before canopy flush. However, in this study we did not investigate a later flowering species. There is also a potential to use this experimental warming method to study later flowering species, but this needs further research as temperature differences decreased after canopy flush and hence OTCs−GF comprehend only a ‘pre-canopy flush’ warming treatment.

Biotic drawbacks of OTCs

Since A. nemorosa flowers are mostly self-incompatible and pollinated by hive bees (Apis mellifera L.) and other small insects (Shirreffs 1985), the GF imposed a near-impossibility of pollination of flowers. The only possible ways of pollination in the OTCs+GF were occasional (1) selfing, (2) wind cross-pollination, or (3) insect cross-pollination. Probably because of this phenomenon, plants grown in the OTCs+GF had a lower germination percentage.

The design of the present study makes it difficult to distinguish the effect of selfing from warming on regeneration processes. Richardson et al. (2000) studied the presence of Hemiptera inside and outside OTCs in a subarctic tundra ecosystem in Abisko (Sweden) and reported a significant barrier effect through which the density of Hemiptera was reduced. They also suggest that insects present on plants in the chamber may prolong their stay relative to insects on plants outside chambers. If this would also be the case in our study, and given the fact that genetic variation within A. nemorosa is small (Stehlik and Holderegger 2000) on the spatial scale of our plots (~1 m2), pollination by insects in our OTCs is presumably within genetically related individuals. It is generally accepted that self-fertilization in (mostly) self-incompatible plant populations causes an inbreeding depression (in e.g., germination percentage) in comparison to outcrossing (Brys et al. 2003; Busch 2005). Open-top chambers with GF totally exclude pollinators and herbivores. Hence, the lower germination percentage in the OTC+GF plots (mostly selfed individuals) is an indication that this might have happened. The lower germination percentage in the OTCs−GF may therefore also be, at least partly, caused by self-fertilization effects, which hampers distinguishing of direct warming effects. Since A. nemorosa’s seed production and germination growing along a 2,400-km latitudinal gradient from N-France to N-Sweden showed a strong positive response to increased temperature (De Frenne et al. 2009), the results obtained from the present OTC study will probably be biased by this selfing problem. Hence, quantifying this selfing effect inside open-top chambers—not only in forests but also in e.g., tundra (Richardson et al. 2000)—should be the scope of future research.

Abiotic drawbacks of OTCs

Open-top chambers seem very promising and useful in studying warming effects on early flowering herbaceous understory plants in temperate deciduous forests. Although the OTCs covered with GF appeared to be more effective in manipulating temperature than the open OTCs, we prefer the latter for two main reasons: (1) temperature increase was significant and realistic, and (2) abiotic and biotic drawbacks are smaller in OTCs−GF than in OTCs+GF.

  1. 1.

    The open OTCs increased mean monthly temperature up to +1.5°C in the leafless period, which is during shoot emergence and vegetative growth of early flowering forest herbs. The IPCC (2007) also predicts a higher median temperature rise in December–January–February (+4.3°C) than in June–July–August (+2.7°C) for northern Europe by 2080–2099 compared to 1980–1999.

  2. 2.

    The open OTCs changed other abiotic conditions (RH, CO2 concentration, PAR amount, soil moisture, precipitation, etc.) only to a small extent. Relative air humidity was increased with only 1.2% (continuous measurements 2009) or 10.6% (discrete daytime values 2008) in the OTCs−GF plots. A change of RH has a significant influence on plant growth and development (Leuschner 2002; Lendzion and Leuschner 2007, 2008). In the case of the OTCs−GF, however, RH elevations are limited, what makes us suppose that forest herbs are not or only marginally influenced, also since these plant species are already adapted to humid environments and small fluctuations in humidity under natural conditions (Leuschner 2002; Lendzion and Leuschner 2007). In the OTC+GF, however, RH was increased with 31.0% (discrete daytime values, 2008) adding a major drawback to this type of OTCs. Other abiotic variables (PAR, CO2 concentration, and soil moisture) showed no or only small differences between the OTCs−GF and controls.

Are OTCs useful warming devices in forest ecosystems?

A certain warming device may be considered ‘useful’ when it fulfills the following criteria: (1) it increases temperatures adequately and in a realistic manner, and (2) ecological abiotic and biotic drawbacks of the warming device are limited. According to our opinion, both criteria are fulfilled in case of the OTCs−GF. Furthermore, A. nemorosa responded clearly to installation of both OTC types. Hence, we recommend the use of OTCs−GF to gain insight into the response of early flowering forest herbs to global warming—if done so with caution and taking the ecological drawbacks into consideration, especially in connection with reproduction. In this way, open-top chambers can become a valuable tool for predicting the potential response of particularly early flowering forest herbs to climate warming in temperate forest ecosystems. There is also a potential to use this method for later flowering species, but this needs further research.