植物根系结构:对竞争对手的耐受性与潜在生长之间的权衡

H. Salinas, E. Veneklaas, P. Poot, E. Trevenen, M. Renton
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引用次数: 0

摘要

:物种的竞争能力可以理解为它们抑制邻居生长的倾向(竞争效应)和抵抗来自其他物种的抑制(竞争反应)。由于植物的根系结构等特征不同,不同物种的竞争能力也不同。然而,我们对根系结构对竞争能力的影响的理解是有限的,因为在实证测量和控制根系系统方面存在挑战。如果将生物量分配给根部的成本得到最终能产生更多繁殖生物量的效益的补偿,那么对植物将是有益的。任何特定的根系生物量分配和根系形态策略的成本和收益可能取决于竞争邻居的数量和位置,因此在没有竞争的情况下适应性最大化的性状可能会降低竞争下的适应性。我们假设适应低水平竞争的物种通常比适应高水平竞争的物种具有更高的抑制邻居生长的能力,但抵抗邻居抑制的能力较低。我们使用功能结构根模型来模拟具有不同建筑特征的根的发展。该模型在每日时间步长上运行,并将根表示为一组连接的节点,并通过添加新节点来模拟增长。根从周围的基质中吸收水分(假定是有限的资源)。植物生物量的增加被认为与根系获得的水量成正比。获得的生物量的一部分分配给根部,其余分配给地上生物量。该模型包括许多定义各种架构和分配特征的参数;不同的模型参数值会导致不同的根系生物量分配和根系构型策略。功能-结构根模型与进化算法相结合,以找到在一系列不同竞争情景中最大化地上生物量的建筑参数组合(我们可以称之为“基因型”)。这些竞争场景包括目标植物单独发展或被一个、两个、三个或四个邻居包围。目标植物的表现是通过假设植物的最终地上生物量是生殖适合度的代理来评估的。最后,利用最优基因型植物在不同竞争情景下进行虚拟竞争实验。我们的研究结果支持了我们的假设,即竞争对地上生物量的负面影响对低竞争条件下选择的基因型更大。然而,具有这些基因型的植株具有更高的最大地上生物量和更高的竞争效应。这些结果表明,在低竞争条件下最大化生物量和抵抗竞争之间存在内在的权衡。我们的研究结果可能具有重要的理论意义,表明根系构型的差异可能是维持群落多样性的机制,并且在考虑农业中竞争性与合作性性状选择时也可能是重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plant root architecture: A trade-off between tolerance to competitors and potential growth
: Competitive ability of species can be understood as their tendency to suppress the growth of neighbours (competitive effect), and resist suppression from others (competitive response). Plant species differ in their competitive ability due to their different traits, for example root architecture. However, our understanding of the effect of root architecture on competitive ability is limited due to challenges in empirically measuring and controlling root systems. Allocating biomass to roots will be beneficial to a plant if the costs are compensated by benefits that eventually lead to greater production of reproductive biomass. The costs and benefits of any particular root biomass allocation and root-morphology strategy are likely to depend on the number and position of competing neighbours, and thus traits that maximise fitness under no competition could reduce fitness under competition. We hypothesised that species adapted to low levels of competition will generally have a higher ability to suppress the growth of neighbours than species adapted to higher levels of competition, but a lower ability to resist suppression from neighbours. We used a functional-structural root model to simulate the development of roots with different architectural traits. This model runs on a daily time step and represents roots as a set of connected nodes, with growth being simulated with the addition of new nodes. Roots take up water (assumed to be the limiting resource) from the surrounding substrate. Increase in plant biomass is assumed to be proportional to the amount of water acquired by the root system. A fraction of the obtained biomass is allocated to root and the remainder to above-ground biomass. The model includes a number of parameters that define various architectural and allocation traits; using different values for these model parameters results in different root biomass allocation and root-architecture strategies. The functional-structural root model was coupled with an evolutionary algorithm to find combinations of architectural parameters (which we can call “genotypes”) that maximised above-ground biomass in a range of different competition scenarios. These competition scenarios included a target plant developing alone or surrounded by one, two, three or four neighbours. The performance of the target plant was evaluated by assuming that the final above-ground biomass of the plant was a proxy for reproductive fitness. Finally, we conducted virtual competition experiments using plants of the optimal genotypes in different competition scenarios. Our results support our hypothesis that the negative effect of competition on above-ground biomass is greater on genotypes selected under lower competition. However, plants with these genotypes had higher maximum above-ground biomass, and a higher competitive effect. These results suggest that there is an intrinsic trade-off between maximising biomass under low-competition, and resistance to competition. Our results could have important theoretical implications, suggesting that differences in root architecture could be a mechanism for maintaining diversity in communities and could also be important when considering competitive vs cooperative trait selection in agriculture.
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