Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-23T16:47:13.013Z Has data issue: false hasContentIssue false

Dry and warm: a modified open-top chamber for seed ecology research

Published online by Cambridge University Press:  04 October 2024

Jerónimo Vázquez-Ramírez*
Affiliation:
Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Hwy, Burwood, VIC 3125, Australia
Susanna E. Venn
Affiliation:
Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Hwy, Burwood, VIC 3125, Australia
*
Corresponding author: Jerónimo Vázquez-Ramírez; Email: [email protected], [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Several experimental tools allow researchers to manipulate environmental variables to simulate future climate change scenarios during in situ seed ecology studies. The most common ones are designed to modify a single environmental variable. For example, open-top chambers (OTCs) increase temperature or rain-out shelters decrease precipitation. However, changes in environmental variables in the future are expected to happen simultaneously, and at present, an understanding of their combined effects in natural environments is limited. Here, we present a passive novel OTC design that simultaneously increases the soil temperature and decreases soil moisture. We assessed the performance of the design during 1 year in a high-mountain environment and reported its effects on the organic and topsoil layers. The modified OTC reduced the soil volumetric water content throughout the study period. Overall, chambers increased the mean day air temperature by 3.3 °C (at 10 cm above the soil surface), the mean day soil surface temperature by 1.35 °C and the mean day below the soil surface temperature by 1.30 °C (at −5 cm) and 1.25 °C (at −10 cm). Remarkably, surface and soil temperatures remained warmer at night (+0.65 at soil surface, +0.41 at −5 cm and +0.24 at −10 cm). We detail the design plans, tools and materials needed for its construction. Furthermore, we recommend on how to use it during seed ecology studies. This tool can help increase our understanding of the potential responses of seeds and seedlings to the combined effects of warming temperatures and a decrease in precipitation.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Climate change involves changes in several key environmental drivers that profoundly affect on species reproduction (Walther et al., Reference Walther, Post, Convey, Menzel, Parmesan, Beebee, Fromentin, Hoegh-Guldberg and Bairlein2002). The tightly coupled relationships between climate variables, seed dormancy and germination suggest that the expected climatic changes will inevitably affect the ecology of seeds (Ooi, Reference Ooi2012). Field experiments that manipulate environmental variables are a common way to generate crucial data to predict species responses to the effects of climate change (Beier et al., Reference Beier, Beierkuhnlein, Wohlgemuth, Penuelas, Emmett, Körner, de Boeck, Christensen, Leuzinger, Janssens and Hansen2012; Knapp et al., Reference Knapp, Carroll, Griffin-Nolan, Slette, Chaves, Baur, Felton, Gray, Hoffman, Lemoine, Mao, Post and Smith2018; Korell et al., Reference Korell, Auge, Chase, Harpole and Knight2019). During field manipulative experiments, researchers use a wide range of experimental tools to modify climatic variables, in order to simulate future climate change scenarios.

Warming temperatures can be created using active (e.g., infrared heaters and fluid-heated pipes) or passive methods (e.g., ground covers, greenhouses or open-top chambers, OTCs). OTCs are the most used tool because of their simple, cost-effective and low-maintenance design (Arft et al., Reference Arft, Walker, Gurevitch, Alatalo, Bret-Harte, Dale, Diemer, Gugerli, Henry, Jones, Hollister, Jónsdóttir, Laine, Lévesque, Marion, Molau, MØlgaard, Nordenhäll, Raszhivin, Robinson, Starr, Stenström, Stenström, Totland, Turner, Walker, Webber, Welker and Wookey1999; Welshofer et al., Reference Welshofer, Zarnetske, Lany and Thompson2018), which also allows natural levels of precipitation, light and gas exchange (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997). Changes in rainfall can be simulated by watering or restricting precipitation. The most frequently used tools to simulate a decrease in precipitation are rainout shelters. These provide a partial/slatted or full transparent roof to restrict rainfall, reducing the soil moisture within the selected plots (Yahdjian and Sala, Reference Yahdjian and Sala2002; Kundel et al., Reference Kundel, Meyer, Birkhofer, Fliessbach, Mäder, Scheu, van Kleunen and Birkhofer2018).

The effects of warming temperatures and changes in precipitation are commonly studied separately during field experiments (Kreyling and Beier, Reference Kreyling and Beier2013). However, changes in these environmental variables are expected to happen simultaneously, and our current understanding of their combined effects on species responses and ecosystem processes is limited (Kreyling and Beier, Reference Kreyling and Beier2013; Korell et al., Reference Korell, Auge, Chase, Harpole and Knight2019). Some of the existing experiments that have manipulated both rainfall and temperature have used OTCs and rainout shelters simultaneously. However, having two different tools in the same plot can increase the undesired side effects of both designs (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997; Vogel et al., Reference Vogel, Fester, Eisenhauer, Scherer-Lorenzen, Schmid, Weisser and Weigelt2013) and also elevate the costs of research.

Here, we present an OTC designed to increase soil and soil surface temperatures and decrease soil moisture in the organic and topsoil layers. The chamber was designed to be used during seed and seedling manipulative in situ experiments (e.g., soil seed banks, seed germination, maternal environmental effects and seedling establishment) in cold, mountainous regions. We tested the chamber design in a high-mountain environment and reported its performance and effects on the soil volumetric water content and the air and soil temperature. We also provide in detail the tools, materials and design plan needed for its construction. Finally, we give recommendations for its use during field seed ecology studies.

Materials and methods

Study area

We tested the chamber design within the Falls Creek Alpine Resort (36° 51′ S, 147° 15′ E and 1,750 masl), which is located in the Bogong High Plains in south-eastern Australia. The study was carried out in a tall alpine herbfield dominated by Poa (Poaceae), Craspedia and Celmisia (Asteraceae) species. Soils are free-draining, highly acidic alpine humus derived from metamorphic rock or basalt (Costin et al., Reference Costin, Gray, Totterdell and Wimbush2000). The mean annual temperature is 9.5 °C, the mean maximum temperature for the hottest month (January) is 17.9 °C and the mean minimum temperature for the coldest month (July) is −2.9 °C (1990–2021). The mean annual precipitation is 1,307 mm (1990–2021), with most of the precipitation falling during the austral winter as snow, which can persist for around 4–5 months, and the driest period of the year being during late spring and summer (Bureau of Meteorology, 2022).

Chamber design

The chamber is designed to create a drier and warmer microclimate in the organic and topsoil layers (+10 to –10 cm from the soil surface) where seeds and seedlings can be found. The design is based on the traditional cone-shaped OTC (Molau and Per, Reference Molau and Per1996; Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997), with rain-out structures added to form a partial, water-shedding roof (Fig. 1A–C). The dimensions of the test chambers are 84.6 cm in base diameter, 50 cm open-top diameter, 40 cm in height and 50% of rainfall restriction. As they were designed to be used during seed and seedling experiments, their size is smaller when compared to the traditional designs (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997). However, the size and the area covered by the rain-out structures can be easily modified (see Supplementary Fig. S1).

Figure 1. (A) Chambers used during the study, (B) a chamber after a light snowfall demonstrating how any snow inside the chamber melts faster than ambient conditions, (C) thermal image indicating the temperatures inside and outside the chamber and (D, E) seeds and seedling can be sowed within the chambered plots to understand their response to a warmer and drier microclimate.

Test chambers were made of a single sheet of clear, flexible polycarbonate, 0.8 mm thick (Suntuf, Palram Industries, Ramat Yohanan, Israel), weighing <1 kg. When installed in the field, the rain-out structures are held together using a stainless threaded steel rod (1.2 m long). The rod is positioned vertically in the centre of the chamber and must be pushed into the soil in the middle of the research plot. Two wing nuts above and below the polycarbonate support the top of the chamber roof at a 35° angle. Heavy-duty, clear, weatherproof resistant tape (The Gorilla Glue Company, Cincinnati, OH, USA) was used to hold together the edges of the chamber (alternatively, stainless flathead screws can be used). Standard tent pegs were inserted in each of the four base tabs to secure the chambers to the ground. We left a 2–3 cm gap between the soil surface and the chamber. To hydrologically isolate and prevent sub-surface water flows into and out of the chambered plots, we buried garden edging (rigid but flexible plastic, 1 mm thick and 10 cm high) up to 10 cm below the soil surface around the selected plots but inside the chamber area. To prevent water condensation, we trimmed the vegetation between the garden edging and the chamber and around the chamber (no plants touching the chamber walls). In Supplementary Fig. S1, we show the design plan and specify the materials and tools needed for the construction of the chamber.

The size of the experimental plot covered by the chamber (around 1 m2) is large enough to carry out experiments with seeds and seedlings simultaneously. Seeds can be buried directly in the ground or inside mesh bags and seedlings can be transplanted or resultant from the buried seeds (Fig. 1D, E).

Experiment design and microenvironment monitoring

We assessed the performance of the chamber design over 1 year from December 2020 to November 2021. Within the experimental study area, we selected three sites with similar environmental and topographic conditions (open areas with <5% slope). At each site, we established four circular plots of 1 m2 targeting areas predominantly occupied by short graminoids and herbs and devoid of any shrubs or trees that could potentially modify the conditions created by the chamber. Half of the plots were randomly assigned as control plots and the remaining half were covered with chambers. In total, we tested six chambers. However, at the end of the snow-free period, we left only one chamber per site to evaluate if the design would resist the weight of snowpack during winter.

We recorded hourly abiotic conditions in each site using HOBO (Onset Computer Corporation, Bourne, MA, USA) and iButton (Maxim Integrated, San Jose, CA, USA) data loggers. We did not quantify rain restriction; instead, we measured and contrasted soil volumetric water between control and chambered plots. To measure soil volumetric water content (VWC), we use three HOBO H21 – USB Micro Station Data Logger with two soil moisture sensors each (HOBO-S-SMD-M005 – large area of influence) that were installed in two randomly selected plots at each site, one control and one chambered (n = 3 per condition for the study). We installed temperature loggers in all the experimental plots (n = 6 per condition for the study) to measure the air temperature (+10 cm above soil surface), soil surface temperature and soil temperature at 5 and 10 cm below the surface. A radiation shield was used to cover the temperature logger at 10 cm above the soil surface. Sensors and loggers were installed 20–30 cm from the centre of the plots.

We also measured the light intensity for a month with a HOBO logger (HOBO Pendant UA-002-64 Logger) at ground level in one control and one chambered plot at each site (n = 3 per condition for the study). In addition, we measured wind velocity 10 cm above the soil surface in one chamber and one control plot at 9:00, 12:00 and 17.00 hours with two Kestrel-1000 wind meters (this measurement was done in another location with similar vegetation conditions). Sensors and data loggers were used under factory default calibration. Finally, we obtained daily rainfall, snowfall and wind velocity data for the complete study period from the Falls Creek Bureau of Meteorology weather station located approximately 1.5 km away from the study area (Bureau of Meteorology, 2022).

Data analysis and management

In order to ensure that the data from the soil moisture or temperature loggers were accurate, we inspected all the records, and we decided to include or exclude them from the analysis following the next criteria: (i) when we found an evident failure in the records extracted from the loggers (e.g., not real temperatures like 888 °C or negative values in soil moisture), we removed the records of the particular logger from the database for the entire day when the malfunctioning was recorded, and the analysis was done using the data from the rest of the established loggers, and (ii) when all the established loggers in one position (−10, −5, 0 +10 cm) or condition (chambered or control plots) failed simultaneously, we excluded those dates from the final analysis. We detail the dates and records that were removed/excluded from the final analysis and database in Supplementary Table S1 and Database S1.

We conducted an exploratory analysis, plotting the data from all sites for the following periods: spring, summer, autumn, winter, the entire study period, and day and night (see Table 1). The visualization of the data helped us determine that the effect of the chambers on soil moisture and soil and air temperature was constant across sites. The overall values within treatments were similar, suggesting no site effect (i.e., all chambered plots had lower soil moisture and warmer temperature than control plots). For this reason, and the lack of data for some sites during significant periods due to logger failures, we decided to pool the data from all sites. We then compared the mean hourly soil VWC and the mean hourly air and soil temperatures of the control and chamber plots for the periods shown in Table 1 using two-tailed unpaired t-tests or Mann–Whitney U tests where the assumption of normality was not met. We also calculated and plotted the effect sizes (mean difference or median difference) and their 95% confidence intervals (Ho et al., Reference Ho, Tumkaya, Aryal, Choi and Claridge-Chang2019). To compare the performance of the test chamber on temperature and soil moisture with that of the commonly used OTC and rain-out shelters, we conducted a thorough search for published and unpublished data. Analyses were done in R (R Core Team, 2022), and figures were constructed in Adobe Illustrator.

Table 1 Established limits for data analysis

Results

All test chambers were able to withstand the harsh alpine environmental conditions such as −12 °C ambient air temperatures, the maximum wind gust speed of 67 km/h and a winter snowpack of up to 1.3 m of depth with minor damages in their structure. Chambers did not cause changes in their surrounding area (e.g., create a channel in the soil around them and cause any mortality of nearby plants). We found no evidence of small or large mammals (rodents, rabbits, possums and macropods) using the chambers during the experimental period.

Chambers significantly reduced the soil VWC throughout the study period, with a greater effect recorded during autumn and a smaller effect during spring (Table 2). No differences in the effect of the chamber on soil VWC during day and night were detected. During the whole experiment period, the soil VWC values were under the soil wilting point for 12.5 days in chambered plots compared to just 1 day in control plots (Fig. 2).

Table 2 Mean soil VWC (m3/m3) in control and chambered plots throughout the study period and the mean difference (°C) and its P-value significance

Figure 2. Time series for the study period (December 2020 to November 2021) of (A) mean soil VWC of control and chamber plots at 5 cm below the soil surface and (B) daily precipitation recorded at the Falls Creek weather station (Bureau of Meteorology, 2022). WP, wilting point for the study region (Venn and Morgan, Reference Venn and Morgan2009).

The effect of the chambers on temperature varied throughout the study period (Fig. 3). The chambers caused more extreme peaks in air and soil surface temperatures as they fluctuated during the day (24 h), with peak temperatures around solar noon (Fig. 4). The effect of the chambers also varied from day to day as a consequence of local weather conditions; on sunny days, temperatures were significantly higher in the chambers compared with control plots; however, this effect was not as strong on overcast, cloudy and rainy days. During snow events, chambers restricted the amount of precipitated snow that accumulated inside, which then melted faster due to the warmer temperatures inside the chambers and led to an increase in the frequency of freeze/thaw soil cycles (Fig. 5).

Figure 3. Mean difference (±95% CI) between chambered and control plots for (A) air temperature at 10 cm above ground, (B) soil surface temperature, (C) soil temperature at 5 cm below the soil surface and (D) soil temperature at 10 cm below the soil surface during the study period. Significant differences are pointed out with (*).

Figure 4. Daily fluctuations in the mean hourly air and soil temperatures (A) and mean temperature profile (B) for chambered and control plots during spring–summer–autumn.

Figure 5. Mean hourly temperatures at (A) +10 cm in the air, (B) soil surface, (C) −5 cm below the soil surface and (D) −10 cm below the soil surface for control and chambered plots in late autumn (1–20th of May 2021) at the study site. Weather conditions for the days displayed are indicated by vertical-coloured lines. Yellow, sunny days; grey, overcast days; blue, rainfall; green, snowfall.

The chamber design significantly reduced the wind velocity near the soil surface (+10 cm) at 9:00 (t(4) = 9.67, P < 0.001), 14:00 (t(4) = 10.93, P = 0.002) and 19:00 h. (t(4) = 13.05, P < 0.001). There was also a reduction in the relative light levels (lumens/m2) inside the chambered plots, but the difference was not statistically significant (27,600 ± 22,938 vs 35,123 ± 25,688, mean ± s.d.; t(28) = 2.04, P = 0.4). We report the obtained values for wind velocity and relative light levels in Supplementary Database S1.

Discussion

The chambers created a drier and warmer microclimate in the organic and topsoil layers, which are the conditions projected for mountain regions such as the Australian Alps (Sánchez-Bayo and Green, Reference Sánchez-Bayo and Green2013), the Mediterranean mountains (Giorgi and Lionello, Reference Giorgi and Lionello2008) and the Andes (Masiokas et al., Reference Masiokas, Rabatel, Rivera, Ruiz, Pitte, Ceballos, Barcaza, Soruco, Bown, Berthier, Dussaillant and MacDonell2020). Average soil surface temperatures inside the chambers are within the threshold of mid-century low and intermediate greenhouse gas concentrations and global warming predictions (Representative Concentration Pathways, RCPs 2.6 and 4.5) for high-mountain areas (Hock et al., Reference Hock, Rasul, Adler, Cáceres, Gruber, Hirabayashi, Jackson, Kääb, Kang, Kutuzov, Milner, Molau, Morin, Orlove, Steltzer, Pörtner, Roberts, Masson-Delmotte, Zhai, Tignor, Poloczanska, Mintenbeck, Nicolai, Okem, Petzold, Rama and Weyer2019) and a high concentration (RCP8.5) for global surface (IPCC, 2021).

Overall, the chambers reduced soil VWC in a similar manner reported for traditional rain-out shelters (Yahdjian and Sala, Reference Yahdjian and Sala2002; Kundel et al., Reference Kundel, Meyer, Birkhofer, Fliessbach, Mäder, Scheu, van Kleunen and Birkhofer2018; Alon and Sternberg, Reference Alon and Sternberg2019) but provided a greater reduction in VWC than a hexagonal OTC in the same study region (Table 3). Importantly, VWC in our chambered plots was always below that of the ambient control plots, even after rain events and during the peaks of the dry and wet seasons (Fig. 2). This constant effect on soil moisture in chambered plots could be explained by the combined effect of less precipitation (rain-out structures) and greater evaporation (warmer temperatures) inside the chambers.

Table 3 Effects of the tested OTC, a traditional ITEX hexagonal OTC and rain-out shelter on the soil volumetric water content, air temperature (+10 cm) and soil temperature (−5 cm) in the same study region (Bogong High Plains, Victoria, Australia)

a This study (11/2020 to 10/2021).

b Unpublished data Australian Mountain Research Facility: www.amrf.org.au (01/2022 to 05/2022).

c Camac et al. (Reference Camac, Williams, Wahren, Hoffmann and Vesk2017) (03/2010 to 05/2016).

The daily and seasonal fluctuations in mean air temperature inside the chambers were similar to those reported for cone-shaped OTCs in the Arctic (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997) and other OTCs in similar environments (Schmidt et al., Reference Schmidt, Jonasson, Shaver, Michelsen and Nordin2002; Tercero-Bucardo et al., Reference Tercero-Bucardo, Kitzberger, Veblen and Raffaele2007; Grau et al., Reference Grau, Ninot, Cornelissen and Callaghan2013; Bernareggi et al., Reference Bernareggi, Carbognani, Petraglia and Mondoni2015; Welshofer et al., Reference Welshofer, Zarnetske, Lany and Thompson2018). The colder night air temperatures inside the chamber are a common feature of these instruments (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997; Hollister et al., Reference Hollister, Elphinstone, Henry, Bjorkman, Klanderud, Björk, Björkman, Bokhorst, Carbognani, Cooper, Dorrepaal, Elmendorf, Fetcher, Gallois, Guðmundsson, Healey, Jónsdóttir, Klarenberg, Oberbauer, Macek, May, Mereghetti, Molau, Petraglia, Rinnan, Rixen and Wookey2022). The observed variations in warming, influenced by sky conditions and weather, coincide with those reported for chambers utilized by the ITEX network (Hollister et al., Reference Hollister, Elphinstone, Henry, Bjorkman, Klanderud, Björk, Björkman, Bokhorst, Carbognani, Cooper, Dorrepaal, Elmendorf, Fetcher, Gallois, Guðmundsson, Healey, Jónsdóttir, Klarenberg, Oberbauer, Macek, May, Mereghetti, Molau, Petraglia, Rinnan, Rixen and Wookey2022). It has been suggested that this variability might provide a more accurate representation of future climate change compared to methods that apply a constant temperature increase (Hollister et al., Reference Hollister, Elphinstone, Henry, Bjorkman, Klanderud, Björk, Björkman, Bokhorst, Carbognani, Cooper, Dorrepaal, Elmendorf, Fetcher, Gallois, Guðmundsson, Healey, Jónsdóttir, Klarenberg, Oberbauer, Macek, May, Mereghetti, Molau, Petraglia, Rinnan, Rixen and Wookey2022).

The chambers increased soil surface and soil temperatures similarly to a tall hexagonal OTC deployed in an alpine region (Wang et al., Reference Wang, Baskin, Baskin, Yang, Liu, Ye, Zhang and Huang2018) but increased soil temperatures more than a hexagonal OTC in the study region (Camac et al., Reference Camac, Williams, Wahren, Hoffmann and Vesk2017) and a tetragonal OTC in a similar environment (Bernareggi et al., Reference Bernareggi, Carbognani, Mondoni and Petraglia2016). It is important to mention that, in our study, the soil surface and soil temperature remained significantly warmer during the night inside the chambers for most of our study period, in contrast with the mentioned studies, where the soil night temperatures were commonly colder than control plots. This is a valuable feature of the presented design because night temperatures are also expected to increase as a consequence of climate change, which will have particular effects on plant life cycles (e.g., Hänninen and Tanino, Reference Hänninen and Tanino2011).

To conclude, our modified OTC worked well during in situ seed and seedling ecology studies in cold mountain regions. The design increased air and soil temperatures and decreased soil VWC, with the drier and warmer microclimate created by the chambers matching future climate projections for several mountain regions around the globe. The design presented is simple, inexpensive, requires minimal maintenance and provides an effective experimental tool to help increase our understanding of the potential response of seeds and seedlings to the combined effects of warming temperatures and decreasing precipitation.

General recommendations for using the design during seed ecology experiments

General recommendations for the use of the OTC design here presented are summarized in Table 4. Furthermore, we recommend reading about the advantages and disadvantages of using passive warming methods (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997; Hollister et al., Reference Hollister, Elphinstone, Henry, Bjorkman, Klanderud, Björk, Björkman, Bokhorst, Carbognani, Cooper, Dorrepaal, Elmendorf, Fetcher, Gallois, Guðmundsson, Healey, Jónsdóttir, Klarenberg, Oberbauer, Macek, May, Mereghetti, Molau, Petraglia, Rinnan, Rixen and Wookey2022), the challenges and complexity of manipulative experiments to study global warming (Beier et al., Reference Beier, Emmett, Gundersen, Tietema, Peñuelas, Estiarte, Gordon, Gorissen, Llorens, Roda and Williams2004; Knapp et al., Reference Knapp, Carroll, Griffin-Nolan, Slette, Chaves, Baur, Felton, Gray, Hoffman, Lemoine, Mao, Post and Smith2018; Korell et al., Reference Korell, Auge, Chase, Harpole and Knight2019) and how the use of OTC can be complemented with other types of methods to better understand the responses of seeds and seedlings to climate change (Yang et al., Reference Yang, Halbritter, Klanderud, Telford, Wang and Vandvik2018). Changes in the final proportion of germinated seeds and germination time can be expected as an effect of the drier and warmer microclimate created by the chamber.

Table 4 Recommendations for the use of the presented OTC design during seed ecology studies

Limitations of the study and OTC design

As the presented chamber is designed to be used during seed and seedling ecology manipulative studies, we focused on the effects of the design on the organic and topsoil layers where temperature and moisture are relevant for seeds and seedlings. We did not measure the temperature or humidity/moisture above or below 10 cm from the soil surface, where the effects of the chamber could be enhanced (air) or diminished (soil). If researchers wish to establish a long-term study to understand the impacts of climate change on plant communities (e.g., diversity or composition), we suggest using the traditional hexagonal OTC or rain-out shelters, which are commonly used in global monitoring efforts such as ITEX or Drought-Net.

Regarding the edge effect reported for other OTC designs (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997), thermal images from our chambered plots show an even effect on the soil surface temperature, probably due to the small size of the chamber and the uniformity of the ground cover at our study site (Supplementary Fig. S2). However, we did not measure if the chamber created an edge effect on the soil VWC and this should be considered when using the presented design or any other OTC during seed ecology experiments.

Finally, the performance of the chambers appears to be ideal for use in cold-climate regions, where mean maximum ambient temperatures do not exceed 25 °C. Temperatures higher than this will likely overheat the air inside the chambers around noon, one of the major undesirable effects of passive temperature-enhancing instruments (Marion et al., Reference Marion, Henry, Freckman, Johnstone, Jones, Jones, Levesque, Molau, Molgaard, Parsons, Svoboda and Virginia1997). Should researchers wish to use our chamber design in more benign, temperate ecosystems, the chambers could be suspended higher off the ground (using the threaded rod in the middle to elevate them and securing them to the ground with large pegs) or adding holes to increase air circulation inside the chamber and allow the excess heat to dissipate. However, it is important to mention that we did not test how these modifications may affect our design's overall performance.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S096025852400014X.

Acknowledgements

We want to thank Falls Creek Resort Management staff for their support in performing the investigation in the resort management area. We also thank Grant Duffy for lending temperature loggers and Emma Sumner and Virginia Williamson for their comments which greatly improved the manuscript.

Author contributions

J.V.-R. and S.E.V. conceived the idea and designed the methods. J.V.-R. and S.E.V. established the field experiment. J.V.-R. collected the data. J.V.-R. analysed the data. J.V.-R. and S.E.V. wrote the manuscript. Both authors contributed critically to the drafts and gave final approval for publication.

Funding statement

This research was funded by the Holsworth Wildlife Research Endowment via the Ecological Society of Australia and the Centre for Integrative Ecology at Deakin University. J.V.-R. was supported by Deakin University Postgraduate Research Scholarship.

Competing interests

The authors declare no conflict of interest.

References

Alon, M and Sternberg, M (2019) Effects of extreme drought on primary production, species composition and species diversity of a Mediterranean annual plant community. Journal of Vegetation Science 30, 10451061. https://doi.org/10.1111/jvs.12807CrossRefGoogle Scholar
Arft, AM, Walker, MD, Gurevitch, J, Alatalo, JM, Bret-Harte, MS, Dale, M, Diemer, M, Gugerli, F, Henry, GHR, Jones, MH, Hollister, RD, Jónsdóttir, IS, Laine, K, Lévesque, E, Marion, GM, Molau, U, MØlgaard, P, Nordenhäll, U, Raszhivin, V, Robinson, CH, Starr, G, Stenström, A, Stenström, M, Totland, O, Turner, PL, Walker, LJ, Webber, PJ, Welker, JM and Wookey, PA (1999) Responses of Tundra plants to experimental warming: meta-analysis of the International Tundra Experiment. Ecological Monographs 69, 491511. https://doi.org/10.1890/0012-9615(1999)069[0491:ROTPTE]2.0.CO;2Google Scholar
Beier, C, Emmett, B, Gundersen, P, Tietema, A, Peñuelas, J, Estiarte, M, Gordon, C, Gorissen, A, Llorens, L, Roda, F and Williams, D (2004) Novel approaches to study climate change effects on terrestrial ecosystems in the field: drought and passive nighttime warming. Ecosystems 7, 583597. https://doi.org/10.1007/s10021-004-0178-8CrossRefGoogle Scholar
Beier, C, Beierkuhnlein, C, Wohlgemuth, T, Penuelas, J, Emmett, B, Körner, C, de Boeck, H, Christensen, JH, Leuzinger, S, Janssens, IA and Hansen, K (2012) Precipitation manipulation experiments – challenges and recommendations for the future. Ecology Letters 15, 899911. https://doi.org/10.1111/j.1461-0248.2012.01793.xCrossRefGoogle ScholarPubMed
Bernareggi, G, Carbognani, M, Petraglia, A and Mondoni, A (2015) Climate warming could increase seed longevity of alpine snowed plants. Alpine Botany 125, 6978. https://doi.org/10.1007/s00035-015-0156-0CrossRefGoogle Scholar
Bernareggi, G, Carbognani, M, Mondoni, A and Petraglia, A (2016) Seed dormancy and germination changes of snowed species under climate warming: the role of pre- and post-dispersal temperatures. Annals of Botany 118, 529–539. https://doi.org/10.1093/aob/mcw125CrossRefGoogle Scholar
Bureau of Meteorology (2022) Available at http://www.bom.gov.au/climate/averages/tables/cw_083084.shtml (accessed 1 April 2022).Google Scholar
Camac, JS, Williams, RJ, Wahren, CH, Hoffmann, AA and Vesk, PA (2017) Climatic warming strengthens a positive feedback between alpine shrubs and fire. Global Change Biology 23, 32493258. https://doi.org/10.1111/gcb.13614CrossRefGoogle ScholarPubMed
Costin, A, Gray, M, Totterdell, C and Wimbush, D (2000) Kosciuszko Alpine Flora, 1st End. Melbourne, Victoria: CSIRO.CrossRefGoogle Scholar
Giorgi, F and Lionello, P (2008) Climate change projections for the Mediterranean region. Global and Planetary Change 63, 90104. https://doi.org/10.1016/j.gloplacha.2007.09.005CrossRefGoogle Scholar
Grau, O, Ninot, JM, Cornelissen, JHC and Callaghan, TV (2013) Similar tree seedling responses to shrubs and to simulated environmental changes at Pyrenean and subarctic treelines. Plant Ecology and Diversity 6, 329342. https://doi.org/10.1080/17550874.2013.810311CrossRefGoogle Scholar
Hänninen, H and Tanino, K (2011) Tree seasonality in a warming climate. Trends in Plant Science 16, 412416. https://doi.org/10.1016/j.tplants.2011.05.001CrossRefGoogle Scholar
Ho, J, Tumkaya, T, Aryal, S, Choi, H and Claridge-Chang, A (2019) Moving beyond P values: data analysis with estimation graphics. Nature Methods 16, 565566. https://doi.org/10.1038/s41592-019-0470-3CrossRefGoogle ScholarPubMed
Hock, R, Rasul, G, Adler, C, Cáceres, B, Gruber, S, Hirabayashi, Y, Jackson, M, Kääb, A, Kang, S, Kutuzov, S, Milner, A, Molau, U, Morin, S, Orlove, B and Steltzer, H (2019) High mountain areas. In Pörtner, H-O, Roberts, DC, Masson-Delmotte, V, Zhai, P, Tignor, M, Poloczanska, E, Mintenbeck, K, Nicolai, M, Okem, A, Petzold, J, Rama, B, and Weyer, N (eds), IPCC Special Report on the Ocean and Cryosphere in a Changing Climate. Geneva, Switzerland: Intergovernmental Panel on Climate Change, pp. 131202.Google Scholar
Hollister, RD, Elphinstone, C, Henry, GHR, Bjorkman, AD, Klanderud, K, Björk, RG, Björkman, MP, Bokhorst, S, Carbognani, M, Cooper, EJ, Dorrepaal, E, Elmendorf, SC, Fetcher, N, Gallois, EC, Guðmundsson, J, Healey, NC, Jónsdóttir, IS, Klarenberg, IJ, Oberbauer, SF, Macek, P, May, JL, Mereghetti, A, Molau, U, Petraglia, A, Rinnan, R, Rixen, C and Wookey, PA (2022) A review of open top chamber (OTC) performance across the ITEX network. Arctic Science 9, 331344. https://doi.org/10.1139/as-2022-0030CrossRefGoogle Scholar
Intergovernmental Panel on Climate Change (IPCC) (2021) Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.Google Scholar
Knapp, AK, Carroll, CJW, Griffin-Nolan, RJ, Slette, IJ, Chaves, FA, Baur, LE, Felton, AJ, Gray, JE, Hoffman, AM, Lemoine, NP, Mao, W, Post, AK and Smith, MD (2018) A reality check for climate change experiments: do they reflect the real world? Ecology 99, 21452151. https://doi.org/10.1002/ecy.2474CrossRefGoogle ScholarPubMed
Korell, L, Auge, H, Chase, JM, Harpole, S and Knight, TM (2019) We need more realistic climate change experiments for understanding ecosystems of the future. Global Change Biology 26, 325327. https://doi.org/10.1111/gcb.14797CrossRefGoogle ScholarPubMed
Kreyling, J and Beier, C (2013) Complexity in climate change manipulation experiments. BioScience 63, 763767. https://doi.org/10.1525/bio.2013.63.9.12CrossRefGoogle Scholar
Kundel, D, Meyer, S, Birkhofer, H, Fliessbach, A, Mäder, P, Scheu, S, van Kleunen, M and Birkhofer, K (2018) Design and manual to construct rainout-shelters for climate change experiments in agroecosystems. Frontiers in Environmental Science 6, 19. https://doi.org/10.3389/fenvs.2018.00014CrossRefGoogle Scholar
Marion, GM, Henry, GHR, Freckman, DW, Johnstone, J, Jones, G, Jones, MH, Levesque, E, Molau, U, Molgaard, P, Parsons, AN, Svoboda, J and Virginia, RA (1997) Open-top designs for manipulating field temperature in high-latitude ecosystems. Global Change Biology 3, 2032. https://doi.org/10.1111/j.1365-2486.1997.gcb136.xCrossRefGoogle Scholar
Masiokas, MH, Rabatel, A, Rivera, A, Ruiz, L, Pitte, P, Ceballos, JL, Barcaza, G, Soruco, A, Bown, F, Berthier, E, Dussaillant, I and MacDonell, S (2020) A review of the current state and recent changes of the Andean cryosphere. Frontiers in Earth Science 8, 127. https://doi.org/10.3389/feart.2020.00099CrossRefGoogle Scholar
Molau, U and Per, M (1996) ITEX Manual, 2nd End. Copenhagen, Denmark: Danish Polar Center.Google Scholar
Ooi, MKJ (2012) Seed bank persistence and climate change. Seed Science Research 22, S53S60. https://doi.org/10.1017/S0960258511000407CrossRefGoogle Scholar
R Core Team (2022) R: A Language and Environment for Statistical Computing.Google Scholar
Sánchez-Bayo, F and Green, K (2013) Australian snowpack disappearing under the influence of global warming and solar activity. Arctic, Antarctic, and Alpine Research 45, 107118. https://doi.org/10.1657/1938-4246-45.1.107CrossRefGoogle Scholar
Schmidt, IK, Jonasson, S, Shaver, GR, Michelsen, A and Nordin, A (2002) Mineralization and distribution of nutrients in plants and microbes in four arctic ecosystems: responses to warming. Plant and Soil 242, 93106. https://doi.org/10.1023/A:1019642007929CrossRefGoogle Scholar
Tercero-Bucardo, N, Kitzberger, T, Veblen, TT and Raffaele, E (2007) A field experiment on climatic and herbivore impacts on post-fire tree regeneration in north-western Patagonia. Journal of Ecology 95, 771779. https://doi.org/10.1111/j.1365-2745.2007.01249.xCrossRefGoogle Scholar
Venn, SE and Morgan, JW (2009) Patterns in alpine seedling emergence and establishment across a stress gradient of mountain summits in south-eastern Australia. Plant Ecology & Diversity 2, 516. https://doi.org/10.1080/17550870802691356CrossRefGoogle Scholar
Vogel, A, Fester, T, Eisenhauer, N, Scherer-Lorenzen, M, Schmid, B, Weisser, WW and Weigelt, A (2013) Separating drought effects from roof artifacts on ecosystem processes in a grassland drought experiment. PLoS ONE 8, e70997. https://doi.org/10.1371/journal.pone.0070997CrossRefGoogle Scholar
Walther, G, Post, E, Convey, P, Menzel, A, Parmesan, C, Beebee, TJC, Fromentin, J, Hoegh-Guldberg, O and Bairlein, F (2002) Ecological responses to recent climate change. Nature 416, 389395. https://doi.org/10.1038/416389aCrossRefGoogle ScholarPubMed
Wang, G, Baskin, CC, Baskin, JM, Yang, X, Liu, G, Ye, X, Zhang, X and Huang, Z (2018) Effects of climate warming and prolonged snow cover on phenology of the early life history stages of four alpine herbs on the southeastern Tibetan Plateau. American Journal of Botany 105, 967976. https://doi.org/10.1002/ajb2.1104CrossRefGoogle ScholarPubMed
Welshofer, KB, Zarnetske, PL, Lany, NK and Thompson, LAE (2018) Open-top chambers for temperature manipulation in taller-stature plant communities. Methods in Ecology and Evolution 9, 254259. https://doi.org/10.1111/2041-210X.12863CrossRefGoogle Scholar
Yahdjian, L and Sala, OE (2002) A rainout shelter design for intercepting different amounts of rainfall. Oecologia 133, 95101. https://doi.org/10.1007/s00442-002-1024-3CrossRefGoogle ScholarPubMed
Yang, Y, Halbritter, AH, Klanderud, K, Telford, RJ, Wang, G and Vandvik, V (2018) Transplants, open top chambers (OTCs) and gradient studies ask different questions in climate change effects studies. Frontiers in Plant Science 9, 1574. https://doi.org/10.3389/fpls.2018.01574CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. (A) Chambers used during the study, (B) a chamber after a light snowfall demonstrating how any snow inside the chamber melts faster than ambient conditions, (C) thermal image indicating the temperatures inside and outside the chamber and (D, E) seeds and seedling can be sowed within the chambered plots to understand their response to a warmer and drier microclimate.

Figure 1

Table 1 Established limits for data analysis

Figure 2

Table 2 Mean soil VWC (m3/m3) in control and chambered plots throughout the study period and the mean difference (°C) and its P-value significance

Figure 3

Figure 2. Time series for the study period (December 2020 to November 2021) of (A) mean soil VWC of control and chamber plots at 5 cm below the soil surface and (B) daily precipitation recorded at the Falls Creek weather station (Bureau of Meteorology, 2022). WP, wilting point for the study region (Venn and Morgan, 2009).

Figure 4

Figure 3. Mean difference (±95% CI) between chambered and control plots for (A) air temperature at 10 cm above ground, (B) soil surface temperature, (C) soil temperature at 5 cm below the soil surface and (D) soil temperature at 10 cm below the soil surface during the study period. Significant differences are pointed out with (*).

Figure 5

Figure 4. Daily fluctuations in the mean hourly air and soil temperatures (A) and mean temperature profile (B) for chambered and control plots during spring–summer–autumn.

Figure 6

Figure 5. Mean hourly temperatures at (A) +10 cm in the air, (B) soil surface, (C) −5 cm below the soil surface and (D) −10 cm below the soil surface for control and chambered plots in late autumn (1–20th of May 2021) at the study site. Weather conditions for the days displayed are indicated by vertical-coloured lines. Yellow, sunny days; grey, overcast days; blue, rainfall; green, snowfall.

Figure 7

Table 3 Effects of the tested OTC, a traditional ITEX hexagonal OTC and rain-out shelter on the soil volumetric water content, air temperature (+10 cm) and soil temperature (−5 cm) in the same study region (Bogong High Plains, Victoria, Australia)

Figure 8

Table 4 Recommendations for the use of the presented OTC design during seed ecology studies

Supplementary material: File

Vázquez-Ramírez and Venn supplementary material 1

Vázquez-Ramírez and Venn supplementary material
Download Vázquez-Ramírez and Venn supplementary material 1(File)
File 4.8 MB
Supplementary material: File

Vázquez-Ramírez and Venn supplementary material 2

Vázquez-Ramírez and Venn supplementary material
Download Vázquez-Ramírez and Venn supplementary material 2(File)
File 1.4 MB
Supplementary material: File

Vázquez-Ramírez and Venn supplementary material 3

Vázquez-Ramírez and Venn supplementary material
Download Vázquez-Ramírez and Venn supplementary material 3(File)
File 83.1 KB
Supplementary material: File

Vázquez-Ramírez and Venn supplementary material 4

Vázquez-Ramírez and Venn supplementary material
Download Vázquez-Ramírez and Venn supplementary material 4(File)
File 25.1 KB