Resource allocation in tragedy of the commons game in plants for belowground competition
Graphical abstract
Introduction
The tragedy of the commons (TOC) is a situation in which a shared resource is overused or depleted due to the conflict between individuals and collective rationality (Hardin, 1968). This concept has been adopted not only in human society but also to explain similar situations for other organisms, such as viruses, bacteria, animals, and even plants (Rankin et al., 2007). In the last two decades, an increasing number of studies have reported TOC in plant competitions (Gersani et al., 2001). Because plants are limited by soil nutrient availability in many terrestrial ecosystems, many studies have reported competitive response and TOC in belowground competition for nutrients (Gersani et al., 2001). It has also been applied largely to the competition of plants for light (Schieving and Poorter, 1999, Falster and Westoby, 2003) and water (Zhang et al., 1999).
TOC in belowground competition is observed as an overproduction of roots, resulting in a decrease in seed production, when plants share soil (Gersani et al., 2001, Maina et al., 2002, O'Brien et al., 2005, O’Brien and Brown, 2008). Several studies have introduced an evolutionary game-theoretical perspective on competition in plants (McNickle and Dybzinski, 2013). The amount of roots produced is usually defined as a strategy, and an evolutionarily stable amount of root is derived (Gersani et al., 2001, O’Brien and Brown, 2008; McNickle et al., 2012; McNickle and Brown, 2014, Cabal et al., 2020). However, TOC in belowground competition in plants is not always observed (Semchenko et al., 2007, Lankinen, 2008, Markham and Halwas, 2011). In such a case, these plant species are presumed not to be capable of detecting competitors, and the amount of roots is thought to be determined only by the amount of available nutrients in the soil, resulting in an ideal free distribution of root volume (McNickle and Brown, 2014).
In previous theoretical studies that considered the TOC in belowground competition, the amount of roots was usually defined as a strategy, and a fixed amount of root was assumed to exist in the soil from the beginning of cultivation (Gersani et al., 2001, McNickle and Brown, 2014). However, the amount of roots is considered an outcome of growth rather than the strategy. The consideration of plant growth or its dynamics has been an essential aspect in the evolution of life-history strategies. Plants are thought to achieve maximum fitness yield by controlling the growth schedule (Cohen, 1971, Iwasa and Cohen, 1989) and optimize their life cycle through growth dynamics (Guilbaud et al., 2015). The root production of a plant is generally regulated by genes (Schmid et al., 2013), physiological responses (Meier et al., 2013), and resource allocation levels (Bhatt et al., 2011). Plants can change resource allocation to the growth of roots and shoots under given environmental conditions (Yang and Midmore, 2005, Schultz et al., 2013). A more plausible strategy is the resource allocation rate (Aikio and Markkola, 2002). Therefore, exploring resource allocation strategies and evaluating reproductive yield and the amount of produced roots because of competition should be extremely reasonable for studying TOC in plants.
In this study, we incorporated resource allocation to plant growth into a game-theoretical model for belowground competition in plants. We considered two essential resources for plant growth, light, and nutrients (Aikio and Markkola, 2002). Light and nutrient availability are proportional to aboveground and belowground biomass, respectively; hence, optimal resource allocation rates exist for both resources. In presence of a neighbor, the amount of nutrients absorbed was determined by the ratio of the amount of one's roots to the total amount of roots of the two plants’ roots, which was a game situation. We demonstrate that there exists an evolutionarily stable allocation of resources in the presence of a neighboring plant. The TOC generally occurs when fitness per individual is always reduced under competition. However, fitness was decreased without root overproliferation when fitness was strongly correlated with root biomass, indicating that overproliferation of roots is not necessarily observed in belowground TOC games in plants. The difference in root production between the solitary and competition plants was sometimes considerably small, indicating that the detection of TOC was difficult, and competition experiments would likely lead to different interpretations of the results.
Section snippets
Model
We extend the mathematical model of Gersani et al. (2001), which considers a game-theoretic situation for belowground competition. We incorporate the following two points: (1) growth dynamics and (2) limitation of growth by obtained resource allocation. This extension enables us to consider the resource allocation of each plant with its nutrients under the situation in which two plants share soil. Annual plants were also assumed.
Plants absorb nutrients from the soil and fix carbon through
Results
To understand how resource allocation dynamics affect the dynamics of growth, we first simulated the growth of a solitary plant (Fig. 1). The dynamics of nutrients in soil revealed how soil nutrients deplete because of plant uptake (Fig. 1B). At first, available nutrients increased because the root was small, and a certain amount of nutrients was added to the soil at each timestep (Fig. 1B), but as root mass increased, so did the nutrient uptake. As a result, available nutrients in soil
Discussion
Our results suggest a different perspective of the TOC; an increase in roots does not always occur, and a decrease in roots may also occur. Previous studies have demonstrated that fitness decreases with the increasing the amount of roots or does not occur through an ideal free distribution (McNickle and Brown, 2014). When the total biomass and aboveground biomass were correlated with fitness, our results showed the same trend as that of the traditional TOC result (Fig. 3A & B). However, when
CRediT authorship contribution statement
Bo-Moon Kim: Conceptualization, Methodology, Software, Validation, Visualization, Writing - original draft. Junnosuke Horita: Methodology, Software, Visualization, Writing - review & editing. Jun-Ichirou Suzuki: Resources, Writing - review & editing. Yuuya Tachiki: Conceptualization, Methodology, Resources, Supervision, Project administration, Funding acquisition, Writing - review & editing.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This work has been supported by JSPS KAKENHI (20K15876 & 16H04845 to YT); and JST MIRAI (JPMJMI18G1 to YT). We thank Atsushi Yamauchi for useful comments on this study.
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