Univ. Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, F-33600, Pessac, France.
Mines Saint-Etienne, Univ Lyon, Univ Jean Moulin, Univ Lumière, Univ Jean Monnet, ENTPE, INSA Lyon, ENS Lyon, CNRS, UMR 5600 EVS, Centre SPIN, Département PEG, F-42023, Saint-Etienne, France.
Commun Biol. 2022 Apr 19;5(1):365. doi: 10.1038/s42003-022-03307-x.
Polluted sites are ubiquitous worldwide but how plant partition their biomass between different organs in this context is unclear. Here, we identified three possible drivers of biomass partitioning in our controlled study along pollution gradients: plant size reduction (pollution effect) combined with allometric scaling between organs; early deficit in root surfaces (pollution effect) inducing a decreased water uptake; increased biomass allocation to roots to compensate for lower soil resource acquisition consistent with the optimal partitioning theory (plant response). A complementary meta-analysis showed variation in biomass partitioning across published studies, with grass and woody species having distinct modifications of their root: shoot ratio. However, the modelling of biomass partitioning drivers showed that single harvest experiments performed in previous studies prevent identifying the main drivers at stake. The proposed distinction between pollution effects and plant response will help to improve our knowledge of plant allocation strategies in the context of pollution.
受污染的地点在全球范围内无处不在,但在这种情况下,植物如何在不同器官之间分配生物量尚不清楚。在这里,我们在沿污染梯度的对照研究中确定了生物量分配的三个可能的驱动因素:植物大小减小(污染效应)与器官之间的比例关系相结合;根表面早期亏缺(污染效应)导致水分吸收减少;增加生物量分配给根以补偿较低的土壤资源获取,与最佳分配理论一致(植物反应)。一项补充的荟萃分析显示,在已发表的研究中,生物量分配存在差异,草本和木本物种的根:枝比有明显的变化。然而,对生物量分配驱动因素的建模表明,以前研究中进行的单次收获实验阻止了确定主要驱动因素的可能性。提出的污染效应和植物反应之间的区别将有助于提高我们在污染背景下对植物分配策略的认识。