Crossing the threshold: the power of multi-level experiments in identifying global change responses
Article first published online: 17 SEP 2012
© 2012 The Authors. New Phytologist © 2012 New Phytologist Trust
Volume 196, Issue 2, pages 323–326, October 2012
How to Cite
Kardol, P., De Long, J. R. and Sundqvist, M. K. (2012), Crossing the threshold: the power of multi-level experiments in identifying global change responses. New Phytologist, 196: 323–326. doi: 10.1111/j.1469-8137.2012.04341.x
- Issue published online: 17 SEP 2012
- Article first published online: 17 SEP 2012
- aboveground–belowground linkages;
- climate change;
- elevated CO2;
- nitrogen (N) deposition;
- plant community;
- plant traits
Predicting how plants will respond to multiple global changes and how these responses will in turn influence key ecosystem processes has become one of the most compelling topics in modern ecology. Single-factor experiments have provided preliminary information on community and ecosystem responses to individual global change drivers. However, manipulations of multiple global change factors have revealed that responses of communities and ecosystems to one factor are often modified by a second, and further highlight the need to consider nonlinear responses to global changes (Templer & Reinmann, 2011). Moreover, variation in the magnitude of global change factors across space and time can strongly influence their effects on plant community patterns of dominance, productivity and potential carbon sink–source dynamics (Ostle et al., 2009; Phoenix et al., 2011). In this issue of New Phytologist, Bradford et al. (pp. 462–471), build upon these findings by testing ecosystem and plant community responses to multiple levels of two key global change factors: atmospheric [CO2] and nitrogen (N) enrichment (Fig. 1). Using grassland microcosms, they show strong interactive effects of [CO2] and N enrichment on ecosystem responses; notably, [CO2] effects on aboveground net primary productivity (ANPP) depended on the level of N addition (Fig. 1a). These results provide powerful information on how ecosystem processes can respond interactively, rather than additively, to multiple global change factors.
‘… their findings suggest that changes in abiotic soil properties in response to one global change factor may influence plant productivity responses to changes in a second factor.’
Nonlinear responses of plants and ecosystems to global change are often likely to be common, dynamic, and ecologically relevant. Resource co-limitation could be a major driver of nonlinear plant and ecosystem responses to global changes; physiological and biogeochemical constraints and dynamic trophic interactions may further contribute to nonlinearity (Tylianakis et al., 2008). While two-level experiments are unable to capture such nonlinear responses (Fig. 2), the use of multi-level experiments allow partitioning of global change effects into linear, quadratic, and other shaped responses. Identifying the shape of so-called ‘response functions’ for plants and ecosystem processes to global change factors is an important challenge in global change research (Fig. 2). In recent years, it has become increasingly clear that human-induced global changes have the potential to push ecosystems past critical thresholds, or ‘tipping points’, at which an ecosystem shifts abruptly from one state to another (Lenton et al., 2008; Scheffer et al., 2009). While predicting such tipping points before they are reached is difficult, multi-level experiments are integral to identifying when an ecosystem may cross a tipping point that could shift it to an alternative state. In the context of multiple global changes, it is therefore of particular interest to test if and how response functions for one global change factor (e.g. [CO2]) depend on another (e.g. N enrichment). Interdependence of global change factors can reshape response functions and may shift thresholds and tipping points (Fig. 2).
The availability of key nutrients such as N and phosphorus (P) can limit plant responses to elevated [CO2] (Reich et al., 2006; Lewis et al., 2010), and therefore influence the potential carbon (C) sink strength of vegetation. Bradford et al. support these previous findings by demonstrating co-limitation of plant productivity by [CO2] and N. The shape of ANPP response across varying [CO2] levels depended upon N addition rate, indicating that ANPP responses to elevated [CO2] are N-limited. Their findings further indicate how ecosystems that differ in nutrient status, as a result of either human activity (e.g. fertilization) or natural disturbance (e.g. wildfire), and subsequent successional development in these ecosystems, may respond to increasing [CO2]. The highest ANPP was reached at the highest N addition rate under intermediate [CO2] levels (between 450 and 550 ppm). Additionally, increasing [CO2] levels have been shown to increase water use efficiency (Morgan et al., 2011), a result supported by Bradford et al. A decreased impact of acidification caused by N additions in soils exposed to high [CO2] levels may have further contributed to differences in plant responses across treatments. Although the authors were unable to disentangle the relative role of N additions, soil moisture and pH on ANPP responses under different [CO2] levels, their findings suggest that changes in abiotic soil properties in response to one global change factor may influence plant productivity responses to changes in a second factor. Further investigation is needed to tease apart the relative contribution of such individual factors to future plant community and ecosystem responses, including carbon sink–source dynamics.
Bradford et al. also tested for effects of N addition regime and found greater plant N acquisition under acute (fertilization-proxy) N vs chronic (deposition-proxy) N addition. Further, ANPP responses to acute N additions increasingly diverged from chronic-N additions as the rate of addition increased. With increasing soil inorganic N concentrations under acute N addition, plants may acquire N for growth more rapidly (Kraiser et al., 2011). As such, these results suggest a clear difference in ecosystem responses and the potential future C sink strength between fertilized agricultural ecosystems and unmanaged, less fertile ecosystems to rising atmospheric [CO2]. Increased understanding of plant productivity responses to elevated [CO2] across agricultural and natural ecosystems could contribute significantly to the accuracy of global C cycling models.
Global change effects on plant community productivity are expected to drive major shifts in the relative dominance of the component species, with potential ecosystem-level consequences (Kardol et al., 2010a; Langley & Megonigal, 2010). Bradford et al. found a shift in the relative dominance of two common grass species. The species that dominated under high levels of N addition was also the one that displayed the greatest plasticity in functional leaf traits associated with light interception and photosynthetic rates (Fig. 1b,c). Surprisingly, the constructed grassland ecosystems by Bradford et al. did not reveal any interactions between the [CO2] and N treatments on plant community dominance. While the authors interpret this as an indication that plant community response to global change might be easier to predict than ecosystem responses, this will not necessarily hold true for other constructed or natural ecosystems. Bradford et al. used the shift in proportional abundance of the two dominant plant species as a measure of community responses. While this approach may inform on the ecosystem consequences of plant community composition shifts in response to elevated [CO2] and N addition, it is a simplification of the complex community dynamics that are expected as a consequence of global change under natural conditions. The competitive balance between dominant and subordinate species may change (Kardol et al., 2010b) and lead to species turnover. As such, some species may become locally extinct if global change pushes them outside of their environmental envelopes, while new species may enter the community as their ranges shift. A future focus explicitly on plant functional response and effect traits (sensu Suding et al., 2008) could assist in better prediction of plant community responses to global changes and the resultant ecosystem consequences.
Aboveground responses to global change are not necessarily reflected belowground (e.g. Klironomos et al., 2005). Empirical evidence provided by Bradford et al., revealing how foliar and root responses to global change factors differ, further calls into question whether aboveground responses to global changes act as a suitable proxy for belowground responses. In addition, because aboveground communities are inherently linked to belowground communities, interactions between aboveground and belowground subsystems may mediate ecosystem responses to global change (Antoninka et al., 2009; Kardol et al., 2010a). Careful consideration must therefore be given when generalizing among the responses of these two subsystems to global change. Whole-ecosystem responses to global change may depend on complex interactions between aboveground and belowground communities and the functions they provide. Although our knowledge in this realm is lacking, the findings from Bradford et al. further highlight the need for coordinated approaches to incorporate plant–soil linkages in predictions of future ecosystem responses to global change (Ostle et al., 2009).
Temperate grasslands have been the most commonly targeted systems in global climate change experiments due to their cosmopolitan distribution, economic importance, and the relative ease with which experiments can be established in such systems (White et al., 2011). Although these studies have been integral in establishing initial parameters for climate modeling, we must be cautious in extrapolating results from one biome to another. Intensifying research in other major biomes which contribute significantly to global C storage, such as boreal, tropical and arctic systems should be a major focus of future studies (e.g. Fig. 3). Establishing a series of long-term experiments globally with a systematic, universally standardized methodology accounting for multi-level global change factors would be an obvious next step. Performing long-term research in less accessible, climatically harsh systems is challenging both logistically and economically, but broadening our scope of study is the only way in which we can hope to achieve a holistic view of ecosystem responses to climate change on a global scale.
- 2009. Linking above- and belowground responses to global change at community and ecosystem scales. Global Change Biology 15: 914–929. , , , , .
- 2012. Contingency in ecosystem but not plant community response to multiple global change factors. New Phytologist 196: 462–471. , , , , .
- 2010b. Climate change effects on plant biomass alter dominance patterns and community evenness in an experimental old-field ecosystem. Global Change Biology 16: 2676–2687. , , , , , .
- 2010a. Soil ecosystem functioning under climate change: plant species and community effects. Ecology 91: 767–781. , , , .
- 2005. Abrupt rise in CO2 overestimates community response in a model plant–soil system. Nature 433: 621–624. , , , , , , .
- 2011. A holistic view of nitrogen acquisition in plants. Journal of Experimental Botany 62: 1455–1466. , , , , .
- 2010. Ecosystem response to elevated CO2 levels limited by nitrogen-induced plant species shift. Nature 466: 96–99. , .
- 2008. Tipping elements in the Earth's climate system. Proceedings of the National Academy of Sciences, USA 105: 1786–1793. , , , , , , .
- 2010. Phosphorus supply drives nonlinear responses of cottonwood (Populus deltoides) to increases in CO2 concentration from glacial to future concentrations. New Phytologist 187: 438–448. , , .
- 2004. Progressive nitrogen limitation of ecosystem responses to rising atmospheric carbon dioxide. BioScience 54: 731–739. , , , , , , , , , et al.
- 2011. C4 grasses prosper as carbon dioxide eliminates desiccation in warmed semi-arid grassland. Nature 476: 202–205. , , , , , , , , , .
- 2009. Integrating plant–soil interactions into global carbon cycle models. Journal of Ecology 97: 851–863. , , , , , , , , , et al.
- 2011. Impacts of atmospheric nitrogen deposition: responses of multiple plant soil parameters across contrasting ecosystems in long-term field experiments. Global Change Biology 18: 1197–1215. , , , , , , , , , et al.
- 2006. Nitrogen limitation constrains sustainability of ecosystem response to CO2. Nature 440: 922–925. , , , , , , , , .
- 2009. Early-warning signals for critical transitions. Nature 461: 53–59. , , , , , , , , , .
- 2008. Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants. Global Change Biology 14: 1125–1140. , , , , , , , , , .
- 2011. Multi-factor global change experiments: what have we learned about terrestrial carbon storage and exchange? New Phytologist 192: 797–800. , .
- 2008. Global change and species interactions in terrestrial ecosystems. Ecology Letters 11: 1351–1363. , , , .
- 2011. Climate change experiments in temperate grasslands: synthesis and future directions. Biology Letters 8: 484–487. , , , .