Abstract
AbstractPolluted 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.
Funder
Agence Nationale de la Recherche
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)
Reference68 articles.
1. USEPA. Protecting and restoring land: making a visible difference in communities: OSWER 34 FY13 End of Year Accomplishments Report. (USEPA, 2013).
2. Zhao, F.-J., Ma, Y., Zhu, Y.-G., Tang, Z. & McGrath, S. P. Soil contamination in China: current status and mitigation strategies. Environ. Sci. Technol. 49, 750–759 (2015).
3. Panagos, P., Van Liedekerke, M., Yigini, Y. & Montanarella, L. Contaminated sites in Europe: review of the current situation based on data collected through a European network. J. Environ. Public Health https://doi.org/10.1155/2013/158764 (2013).
4. Hou, D. et al. Metal contamination and bioremediation of agricultural soils for food safety and sustainability. Nat. Rev. Earth Environ. 1, 366–381 (2020).
5. Rohr, J. R., Kerby, J. L. & Sih, A. Community ecology as a framework for predicting contaminant effects. Trends Ecol. Evol. 21, 606–613 (2006).
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