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The relationship between global warming and decomposition rates in aquatic systems Introduction World-wide, the effects of climate change have become a much discussed topic, in particular the effects of increased warming. The rate at which the Earth is warming is unparalleled compared to historical times (Parmesan & Yohe, 2003). A time series compiled jointly by the Climatic Research Unit and the UK Met Office showed that twelve out of thirteen years between 1995-2007 were the warmest since records began; with 1998 the warmest ever recorded (Brohan et al., 2006). The Forth Assessment Report (AR4) by the IPCC indicates that, with the lowest emissions scenario, global surface temperature is likely to escalate by a further 1.1 to 2.9°C over the next century. Under the highest emissions scenario this increase could be as high as 2.4 to 6.4°C (IPCC, 2007). Changes in temperature will have effects on both physiology and behaviours of plants and animals, as well as ecosystem processes (Calderon-Zavala et al, 2004; Jaio et al, 2009; Beveridge et al, 2010). Energy is the means by which ecological systems and their processes are run. On an individual level, energy is expressed as the metabolic rate of an organism. Although metabolic rate operates on the individual basis, it can be scaled up to the level of whole ecosystems. Studies show that temperature is a determinant of fundamental biological rates (alongside body mass), and that warming tends to favour the development and prevalence of smaller organisms (Forster, Hirst & Woodward, 2011; Yvon-Durocher et al., 2011). One of the main pathways for nutrient cycling occurs by way of decomposition of dead matter. Decomposition is central to ecosystem functionality and detritivores are the drivers of this process (Vos, V. C. A. et al, 2011). These heterotrophic organisms obtain nutrients, such as organic compounds of carbon (CO2) and nitrogen (N2), by decomposing dead or decaying plant and animal matter e.g. leaf litter. Terrestrial plants produce c.120 billion tons of organic carbon each year (Beer et al., 2010) and only a small fraction of this is removed from the ecosystem by herbivores (Battle et al., 2000). However, recent studies have shown that decomposition in aquatic ecosystems contribute significantly to global carbon studies (Tranvik et al. 2009; Battin et al. 2008, 2009). Almost all of the research on decomposition of detritus has been conducted in aquatic ecosystems with running water (Wallace, J. B. & Webster, J. R., 1996). Different types of aquatic system may hold many physical similarities, but they differ significantly in salinity. Freshwater systems have a salinity of <0.5‰ (parts per thousand), whilst marine environment have a salinity of >30-50‰. Brackish waters span the salinity between these two. The nature of water in such systems means that it is constantly flowing, carrying with it a ready supply of organic matter that enables the continuity of decomposition by the detritivores. All three environments share the medium of water, and are therefore ideal for a cross comparison of how temperature alters decomposition rates. This would mean that salinity was the only other compounding factor (Lecerf et al. 2007). Metabolic rate is a function of both temperature and body mass (Pang, X. et al, 2011). It can be determined that at higher temperatures organisms will have increased metabolic requirements in order to sustain their metabolism. And so, in order to maintain the escalation in energy requirement that occurs at higher temperatures, organisms such as detritivores will show an increase in the decomposition rate of organic matter (Aerts, R., 2006). Examples of such detritivores are the Gammarus amphipod species. One species - Gammarus pulex - is found in freshwater across Europe and Asia, and can usually be discovered under stones, in the mud, or near detritus. Another type - Gammarus zaddachi - lives in marine or brackish waters. Both species are largely scavengers that feed on dead plant matter or other decaying organic material. A meta-analysis of 3 studies suggests that there is a general trend towards increasing decomposition rate with increasing temperature across different aquatic ecosystems: marine, freshwater and brackish (e.g. Boyero, L et al., 2011; Pederson, M. O. et al., 2011; Moore, T. L. et al., 1999; see Table 1). However, the meta-analysis also showed that whilst there have been numerous studies beyond those reviewed; none studied the concurrent in a systematic fashion. The present study aimed to compare decomposition rates under two experimental factors: ecosystem type and temperature. Three levels of each factor were used, in order to determine whether the effects of warming on decomposition rates were consistent across different ecosystems, as they appear to be from the available literature. Specifically, it was hypothesised that: (1) there will be an increase in the decomposition rate of organic matter at higher temperatures; and that (2) this will be consistent in freshwater, brackish and marine systems. Table 1 Material and Methods The hypotheses were tested in a laboratory in order to tightly control the two experimental factors: ecosystem type and temperature. Carrying out the experiment in a laboratory meant that all of the ecosystem types could be controlled in one location, while the level of warming of could also be precisely controlled. Each factor was observed at three levels. The three ecosystems were freshwater, brackish water, and marine water. These were determined by their salinities freshwater (0‰); brackish water (15‰); marine water (34‰). Each ecosystem type was incubated at 3 temperatures (5°C, 10°C and 15°C) in temperature control rooms. The rooms were illuminated for 12 hours, and were dark for the other 12 hours. There were 10 replicates of each treatment (Figure 1). 2.00 (± 0.02)g of dried alder leaves were precisely weighed using an electric balance scale and then placed in each tank. 1 litre of the correct salinity of water was measured using a graduated cylinder and added to each tank. This was 0‰ (freshwater), 15‰ (brackish water) or 34‰ (marine water), depending on the ecosystem type allocated to the group. Three members of the appropriate Gammarus spp. were then added to each tank. Again, the correct species was dependent on the ecosystem type assigned (Gammarus pulex for freshwater, and Gammarus zaddachi for marine and brackish water). The leaves fully immersed in the water to maximise the possibility for decomposition. The tanks were then incubated in the correct temperature-control room for 7 weeks. The tanks were aerated with air from an air pump. They were kept in blocks of ecosystem type to avoid the accidental mixing of water from spatter caused by the air pumps (Figure 2). At the end of the incubation period the water was drained from the tanks through a sieve (250 µm mesh size), carefully retaining the remaining leaf litter. Forceps were used to place every piece of remaining leaf litter into envelopes with the same labelling as the plastic aquaria (ie temperature, ecosystem type, initial weight of leaf litter). Any living Gamarus were removed, counted and noted on the envelope, and placed back into plastic aquaria containing the correct water-type. The dead Gammarus were removed before the litter was left to dry out completely in an 80° oven for 5 days (120 hours). It was re-weighed on an electric scale, and the weight for all the replicates in all of the ecosystems was recorded. These values were used to calculate the decomposition rate. The equation to calculate this was: initial mass of leaves – final mass of leaves/49(days). The results from this calculation were recorded as mg/day-1. Results The results of an analysis of variance show that temperature has a significant effect on decomposition rate (F2,78 = 55.14; p<0.001). Ecosystem type also has a significant effect on decomposition rates (F 2,78 = 44.53; p<0.001). The effect of temperature on decomposition was slightly more significant than that of ecosystem type. However, ecosystem type does not significantly alter the effect of temperature on decomposition rate (F4,78 = 0.41; p=0.800). Homogeneity of data is desired. The results showed that there was homogeneity in the data (Figure 3). The data was also normally distributed (Figure 4). There is no general interaction between ecosystem type, temperature, and decomposition rate (Figure 5). A Tukey’s test was used to look at the differences in significance between the difference levels of each of the variables (Figure 6). At 5°C: A significant difference was seen between the means of the marine ecosystems and freshwater ecosystems, and marine ecosystems and brackish ecosystems, but not between freshwater and brackish ecosystems. At 10°C: Again, a significant difference was seen between marine and freshwater ecosystems, and marine and brackish ecosystems, but not between freshwater and brackish ecosystems. At 15°C: No significant difference was seen between freshwater and brackish ecosystems, or brackish and marine ecosystems. However, a significant difference was seen between the means of marine and freshwater ecosystems. Discussion The results of the study show that there is a significant effect of temperature on decomposition rate, with this effect being found to be consistent across all three of the examined ecosystem types. Although slight differences in significance of response can be seen between the different ecosystems, these differences are not substantial enough to determine an influential interaction between ecosystem type and the effect temperature change has on it. This allows for the conclusion that there was a general lack of association between the two variables - ecosystem type and temperature, and the responding function – the rate of decomposition. Nevertheless, it is still possible to infer from the results that decomposition rate increases with increasing temperature, therefore confirming the two hypotheses of the study. It may be possible to extrapolate the effects of increasing temperature into different ecosystems, or with different organisms. The study only used one type of organism (Gammarus spp.) and was limited to only three ecosystem types, all of which were aquatic. To be able to generalise these findings to other systems would further better the ability of models to predict the role of climate change (in particular warming) in altering different processes within an ecosystem (Gunawardhana, L. N. & Kazama, S., 2011). The idea that an increase in temperature - in particular one triggered by climate change - will have a corresponding result on various ecosystem functions has been modelled often (Kardol, P. et al, 2010; Pedersen, M. O. et al, 2011; Beveridge et al, 2010). The results of the current experiment, in which a positive relationship between increasing temperature and decomposition rate can be seen, are mirrored in the results of several studies. One such example by Ferreira & Chauvet (2011) approaches the idea of temperature working in synergy with dissolved nutrient concentrations in order to effect litter decomposition in woodland streams. They found that all biological variables – including decomposition rate – were stimulated when both of these factors increased. The results of the study are supported by those of the current experiment, and also suggest that other characteristics of an ecosystem play a significant role in the ecosystem’s response to climate change. Upon observing the tanks after their 48-day period in the temperature controlled rooms, it was noted that there was a poor survival rate in the amphipods. This is problematic as it is unknown how far into the experiment they started to die. In many cases the bodies of the amphipods weren’t found, suggesting that decomposition occurred in any case, without the presence of Gammarus spp in the ecosystem. This unconsidered decomposition is likely due to the effects of microbial detritivores undoubtably residing in the tanks, which most likely entered the ecosystems via the water medium, or attached to the leaves used. Gessner et al (1999) suggested that the view of litter decomposition in freshwaters needed to be improved. They proposed that the processes could be broken down into three distinct stages. The current study addresses only one of these stages; the final stage of decomposition facilitated by detritivores invertebrates such as Gammarus, and ignores the second stage of litter breakdown during which microbial decomposers enhance the palatability of the little for the invertebrate organisms. The existence of such organisms implies that the study actually measured the effects of both macro- and microdecomposition. In many ways this study is extremely limited. One such limiting factor that is rectifiable, is tied to the fact that the amount of decomposition measured could well have been due to the additional effects of the amphipods and the microbial decomposers. A way to remedy this for the future would be to create a control ecosystem in which only the microbial decomposers exist, and observe the average decomposition that occurs over the same amount of time. The rate of decomposition calculated in this control could then be subtracted from the rates seen in the tanks containing both Gammarus and microbes (i.e. the ecosystems used in the current study). The resultant data would then allow the relative contributions of both the Gammarus and the microbial decomposers to be calculated and separated out. Although the study is highly replicable (as seen in the data) because it was conducted in a laboratory, the mesocosms used were poor imitations of their real-life counterparts meaning the study lacked realism. It therefore makes it difficult for the results to be used as a model that can be applied to naturally-occurring ecosystems. In order to create such a model, several factors must be observed in the natural ecosystems over a long period of time, including the effects of climate change on biological characteristics of aquatic ecosystems such as lakes. These observations should be made over a wide range of ecosystem types - much like the ones observed in the current laboratory study - and the heterogeneity of the responses should be surveyed. This will enable long-term modelling of the effects of warming on many ecosystem services as well as the effects on decomposition rates. References Aerts, R., 2006. The freezer defrosting: global warming and litter decomposition rates in cold biomes. Journal of Ecology. 94 (4), 713-724. Battin, T.J. et al., 2008. Biophysical controls on organic carbon fluxes in fluvial networks. Natural Geoscience., 1 (2), 95–100. Battin, T.J. et al., 2009. The boundless carbon cycle. Natural Geoscience., 2 (9), 598–600. Battle, M. et al., 2000. Global carbon sinks and their variability inferred from atmospheric O2 and d13C. Science. 287 (5462), 2467–2470. Beer, C., et al., 2010. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science. 329 (5993), 834–838. Beveridge, O. S. et al., 2010. Direct and indirect effects of temperature on the population dynamics and ecosystem functioning of aquatic microbial ecosystems. Journal of Animal Ecology, 79(6), pp. 1324-1331. Boyero, L. et al., 2011. A global experiment suggests climate warming will not accelerate litter decomposition in streams but might reduce carbon sequestration. Ecology Letters. 14 (3), 289294. Brohan, P. et al., 2006. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. Journal of Geophysical Research – Atmospheres. 111 (D12), D12106. Calderon-Zavala, G., et al., 2004. Temperature effects on fruit and shoot growth in the apple (Malus domestica) early in the season. Acta Horticulturae, 646, pp. 447-453. Ferreira, V., Chauvet, E., 2011. Synergistic effects of water temperature and dissolved nutrients on litter decomposition and associated fungi. Global Change Biology, 17 (1), pp. 551-564. Forster, J., Hirst, A. G., Woodward, G., 2011. Growth and development rates have different thermal responses. American Naturalist. 178 (5), 668-678. Gessner, M. O. et al, 1999. A perspective on leaf litter breakdown in streams. Oikos, 85 (2), pp. 377-384. Gunawardhana, L. N., Kazama, S., 2011. Climate change impacts on groundwater temperature change in the Sendai plain, Japan. Hydrological Processes, 25 (17), pp. 2665-2678. IPCC (International Panel on Climate Change), 2007. Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge. Jiao, X. G. et al.,2009. Effects of temperature on courtship and copulatory behaviours of a wolf spider Pardosa astrigera (Araneae: Lycosidae). Journal of Thermal Biology, 34(7), pp. 348-352. Kardol, P. et al, 2010. Soil ecosystem functioning under climate change: Plant species and community effects. Ecology, 91 (3), pp. 767-781. Lecerf, A. et al., 2007. Decomposition of diverse litter mixtures. Ecology. 88 (1), 219–227. Moore, T. R. et al., 1999. Litter decomposition rates in Canadian forests. Global Change Biology. 5 (1), 75-82. Pang, X. et al, 2011. The effects of temperature on metabolic interaction between digestion and locomotion in juveniles of three cyprinid fish (Carassius auratus, Cyprinus carpio and Spinibarbus sinensis). Comparative Biochemistry and Physiology A – Molectular and Integrative Physiology, 159(3), pp. 253-260. Parmesan, C., Yohe, G., 2003. A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421(6918), pp. 37-42. Pederson, M. O. et al., 2011. Temperature effects on decomposition of a Posidonia oceanica mat. Aquatic Microbial Ecology. 65 (2), 169-182. Tranvik, L.J. et al., 2009. Lakes and reservoirs as regulators of carbon cycling and climate. Limnology and Oceanography. 54 (6), 2298–2314. Vos, V. C. A. et al, 2011. Macro-detritivore identity drives lead litter diversity effects. Okios, 120(7), pp. 1092-1098. Wallace, J. B. & Webster, J. R., 1996. The role of macroinvertebrates in stream ecosystem structure. Annual Review of Entomology. 41, 115–139. Yvon-Durocher, G., Montoya, J. M., Trimmer, M., and Woodward, G., 2011. Warming alters the size spectrum and shifts the distribution of biomass in freshwater ecosystems. Global Change Biology. 17 (4), 1681-1694.