Plant biomass allocation is a central issue in ecology. Plant ontogeny, as biotic influencing factors, spurs allocation shift among plant different organs. The difficulty is separating the obscure and mixed effect of ontogeny and environmental stress on biomass allocation because of lacking specific information during plant whole life history. In combination with theory in population dynamics and metabolic theory of ecology, we developed a theoretical framework in biomass allocation to investigate the quantitative relationship of leaf biomass fraction vs. plant age, leaf primary productivity fraction vs. plant age. These models fit well with the analysis results from empirical forest dataset. The results show that plant photosynthetic efficiency in accumulation decrease with plant ontogeny, but the annual growth photosynthetic efficiency has no regression relationship with plant age. In addition, plant taxon plays an important role in the relationship of leaf biomass fraction and plant age, and evergreen plants have a higher leaf biomass fraction than deciduous ones. The research here will provide a foundation for further understanding the effect of both plant “true plasticity” and “apparent plasticity” on plant biomass allocation patterns, respectively.
| Published in | Ecology and Evolutionary Biology (Volume 7, Issue 2) |
| DOI | 10.11648/j.eeb.20220702.13 |
| Page(s) | 23-29 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Biomass Allocation, Plant Ontogeny, True Plasticity, Apparent Plasticity, NPP
| [1] | Enquist, B. J. & Niklas, K. J. Global allocation rules for patterns of biomass partitioning in seed plants. Science 295, 1517-1520 (2002). |
| [2] | Niklas, K. J. & Enquist, B. J. On the vegetative biomass partitioning of seed plant leaves, stems, and roots. The American Naturalist 159, 482-497 (2002). |
| [3] | McCarthy, M. & Enquist, B. Consistency between an allometric approach and optimal partitioning theory in global patterns of plant biomass allocation. Funct. Ecol. 21, 713-720 (2007). |
| [4] | Mokany, K., Raison, R. J. & Prokushkin, A. S. Critical analysis of root: shoot ratios in terrestrial biomes. Global Change Biol. 12, 84-96, doi: 10.1111/j.1365-2486.2005.001043.x (2006). |
| [5] | Weiner, J. Allocation, plasticity and allometry in plants. Perspect. Plant Ecol. Evol. Syst. 6, 207-215 (2004). |
| [6] | Poorter, H. & Sack, L. Pitfalls and possibilities in the analysis of biomass allocation patterns in plants. Frontiers in plant science 3, 259 (2012). |
| [7] | Monsi, M. & Saeki, T. On the factor light in plant communities and its importance for matter production. 1953. Ann. Bot. 95, 549-567, doi: 10.1093/aob/mci052 (2005). |
| [8] | Reich, P. B., Rich, R. L., Lu, X., Wang, Y. P. & Oleksyn, J. Biogeographic variation in evergreen conifer needle longevity and impacts on boreal forest carbon cycle projections. Proc. Natl. Acad. Sci. USA 111, 13703-13708 (2014). |
| [9] | Luo, Y., Wang, X., Zhang, X., Booth, T. H. & Lu, F. Root: shoot ratios across China’s forests: Forest type and climatic effects. For. Ecol. Manage. 269, 19-25 (2012). |
| [10] | Niklas, K. J. Plant allometry: is there a grand unifying theory? Biological reviews 79, 871-889 (2004). |
| [11] | McConnaughay, K. & Coleman, J. Biomass allocation in plants: ontogeny or optimality? A test along three resource gradients. Ecology 80, 2581-2593 (1999). |
| [12] | Reich, P. B. et al. Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots. Proc. Natl. Acad. Sci. USA 111, 13721-13726 (2014). |
| [13] | West, G. B., Brown, J. H. & Enquist, B. J. A general model for the origin of allometric scaling laws in biology. Science 276, 122-126 (1997). |
| [14] | West, G. B., Brown, J. H. & Enquist, B. J. The fourth dimension of life: fractal geometry and allometric scaling of organisms. science 284, 1677-1679 (1999). |
| [15] | West, G. B., Brown, J. H. & Enquist, B. J. A general model for the structure and allometry of plant vascular systems. Nature 400, 664-667 (1999). |
| [16] | Brouwer, R. Some aspects of the equilibrium between overground and underground plant parts. Jaarboek van het Instituut voor Biologisch en Scheikundig onderzoek aan Landbouwgewassen 1963, 31-39 (1963). |
| [17] | Noulèkoun, F., Khamzina, A., Naab, J. B. & Lamers, J. P. Biomass allocation in five semi-arid afforestation species is driven mainly by ontogeny rather than resource availability. Annals of Forest Science 74, 78 (2017). |
| [18] | Thornley, J. A balanced quantitative model for root: shoot ratios in vegetative plants. Ann. Bot. 36, 431-441 (1972). |
| [19] | Poorter, H. et al. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control. New Phytol. 193, 30-50 (2012). |
| [20] | Evans, G. C. The quantitative analysis of plant growth. Vol. 1 (University of California Press, 1972). |
| [21] | Ledig, F. T., Bormann, F. H. & Wenger, K. F. The distribution of dry matter growth between shoot and roots in loblolly pine. Botanical Gazette 131, 349-359 (1970). |
| [22] | Bazzaz, F., Garbutt, K., Reekie, E. & Williams, W. Using growth analysis to interpret competition between a C 3 and a C 4 annual under ambient and elevated CO2. Oecologia 79, 223-235 (1989). |
| [23] | Gedroc, J. Plasticity in root/shoot partitioning: optimal, ontogenetic, or both. Funct. Ecol. 10, 44-50 (1996). |
| [24] | Poorter, H. & Nagel, O. The role of biomass allocation in the growth response of plants to different levels of light, CO2, nutrients and water: a quantitative review. Funct. Plant Biol. 27, 1191-1191 (2000). |
| [25] | Niinemets, U. Key plant structural and allocation traits depend on relative age in the perennial herb Pimpinella saxifraga. Ann. Bot. 96, 323-330 (2005). |
| [26] | Chaudhary, N., Narayan, R. & Sharma, D. Differential biomass allocation to plant organs and their allelopathic impact on the growth of crop plants: A case study on the invasibility of Ageratum conyzoides in Indian dry tropics. Indian J. Agric. Sci. 85, 1405 (2015). |
| [27] | Poorter, H. et al. How does biomass distribution change with size and differ among species? An analysis for 1200 plant species from five continents. New Phytol. 208, 736-749, doi: 10.1111/nph.13571 (2015). |
| [28] | Mori, S. et al. Mixed-power scaling of whole-plant respiration from seedlings to giant trees. Proc Natl Acad Sci U S A 107, 1447-1451, doi: 10.1073/pnas.0902554107 (2010). |
| [29] | Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M. & West, G. B. Toward a metabolic theory of ecology. Ecology 85, 1771-1789 (2004). |
| [30] | Reed, L. J. & Pearl, R. On the Summation of Logistic Curves. Journal of the Royal Statistical Society (1927). |
| [31] | Deng, J. et al. Models and tests of optimal density and maximal yield for crop plants. Proc. Natl. Acad. Sci. USA 109, 15823-15828 (2012). |
| [32] | May, R. M. theoretical ecology. Blackwell, Oxford, England (1974). |
| [33] | Hastings, A. population ecology: concepts and models. Springer (1997). |
| [34] | Usoltsev, V. Forest biomass of northern Eurasia. Russian Academy of Sciences, Ural Branch, Botanical Garden and Ministry of Education of Russian Federation, Ural State Forest Engineering University, Yekaterienburg)(in Russian) (2001). |
| [35] | Falster, D. S. et al. BAAD: a Biomass And Allometry Database for woody plants. Ecology 96, 1445-1445 (2015). |
| [36] | Deng, J. M. et al. Plant mass–density relationship along a moisture gradient in north-west China. J. Ecol. 94, 953-958 (2006). |
| [37] | Deng, J. M. et al. Trade-offs between the metabolic rate and population density of plants. PLoS One 3, e1799, doi: 10.1371/journal.pone.0001799 (2008). |
| [38] | Robinson, D., Davidson, H., Trinder, C. & Brooker, R. Root–shoot growth responses during interspecific competition quantified using allometric modelling. Ann. Bot. 106, 921-926 (2010). |
| [39] | Chen, G., Yang, Y. & Robinson, D. Allocation of gross primary production in forest ecosystems: allometric constraints and environmental responses. New Phytol. 200, 1176-1186 (2013). |
| [40] | Niklas, K. J. & Hammond, S. T. Biophysical effects on plant competition and coexistence. Funct. Ecol. 27, 854-864 (2013). |
| [41] | Chen, G., Yang, Y. & Robinson, D. Allometric constraints on, and trade-offs in, belowground carbon allocation and their control of soil respiration across global forest ecosystems. Global Change Biol. 20, 1674-1684 (2014). |
| [42] | Deng, J. et al. Insights into plant size-density relationships from models and agricultural crops. Proc. Natl. Acad. Sci. USA 109, 8600-8605 (2012). |
| [43] | McCarthy, M. C., Enquist, B. J. & Kerkhoff, A. J. Organ partitioning and distribution across the seed plants: assessing the relative importance of phylogeny and function. Int. J. Plant Sci. 168, 751-761 (2007). |
| [44] | Hanski, I., Gilpin, M. E. & McCauley, D. E. Metapopulation biology. Vol. 454 (Elsevier, 1997). |
| [45] | Hanski, I. & Ovaskainen, O. Metapopulation theory for fragmented landscapes. Theor. Popul. Biol. 64, 119-127 (2003). |
| [46] | Opdam, P. Metapopulation theory and habitat fragmentation: a review of holarctic breeding bird studies. Landscape Ecol. 5, 93-106 (1991). |
| [47] | Hastings, A. Metapopulation Persistence with Age-Dependent Disturbance or Succession. SCIENCE (2003). |
| [48] | May, R. M. Deterministic models with chaotic dynamics. Nature 256, 165 (1975). |
| [49] | May, R. M. Stability and complexity in model ecosystems. Vol. 6 (Princeton university press, 2001). |
| [50] | Hassard, B. D., Hassard, D., Kazarinoff, N. D., Wan, Y.-H. & Wan, Y. W. Theory and applications of Hopf bifurcation. Vol. 41 (CUP Archive, 1981). |
| [51] | Marsden, J. E. & McCracken, M. The Hopf bifurcation and its applications. Vol. 19 (Springer Science & Business Media, 2012). |
| [52] | May, R. M. Thresholds and breakpoints in ecosystems with a multiplicity of stable states. Nature 269, 471 (1977). |
APA Style
Renfei Chen, Suping Xiao, Yongji Wang, Qindi Zhang. (2022). Insight into the Relationship Between Plant Photosynthetic Production Allocation and Ontogeny from Population Dynamics. Ecology and Evolutionary Biology, 7(2), 23-29. https://doi.org/10.11648/j.eeb.20220702.13
ACS Style
Renfei Chen; Suping Xiao; Yongji Wang; Qindi Zhang. Insight into the Relationship Between Plant Photosynthetic Production Allocation and Ontogeny from Population Dynamics. Ecol. Evol. Biol. 2022, 7(2), 23-29. doi: 10.11648/j.eeb.20220702.13
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.eeb.20220702.13,
author = {Renfei Chen and Suping Xiao and Yongji Wang and Qindi Zhang},
title = {Insight into the Relationship Between Plant Photosynthetic Production Allocation and Ontogeny from Population Dynamics},
journal = {Ecology and Evolutionary Biology},
volume = {7},
number = {2},
pages = {23-29},
doi = {10.11648/j.eeb.20220702.13},
url = {https://doi.org/10.11648/j.eeb.20220702.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eeb.20220702.13},
abstract = {Plant biomass allocation is a central issue in ecology. Plant ontogeny, as biotic influencing factors, spurs allocation shift among plant different organs. The difficulty is separating the obscure and mixed effect of ontogeny and environmental stress on biomass allocation because of lacking specific information during plant whole life history. In combination with theory in population dynamics and metabolic theory of ecology, we developed a theoretical framework in biomass allocation to investigate the quantitative relationship of leaf biomass fraction vs. plant age, leaf primary productivity fraction vs. plant age. These models fit well with the analysis results from empirical forest dataset. The results show that plant photosynthetic efficiency in accumulation decrease with plant ontogeny, but the annual growth photosynthetic efficiency has no regression relationship with plant age. In addition, plant taxon plays an important role in the relationship of leaf biomass fraction and plant age, and evergreen plants have a higher leaf biomass fraction than deciduous ones. The research here will provide a foundation for further understanding the effect of both plant “true plasticity” and “apparent plasticity” on plant biomass allocation patterns, respectively.},
year = {2022}
}
TY - JOUR T1 - Insight into the Relationship Between Plant Photosynthetic Production Allocation and Ontogeny from Population Dynamics AU - Renfei Chen AU - Suping Xiao AU - Yongji Wang AU - Qindi Zhang Y1 - 2022/04/25 PY - 2022 N1 - https://doi.org/10.11648/j.eeb.20220702.13 DO - 10.11648/j.eeb.20220702.13 T2 - Ecology and Evolutionary Biology JF - Ecology and Evolutionary Biology JO - Ecology and Evolutionary Biology SP - 23 EP - 29 PB - Science Publishing Group SN - 2575-3762 UR - https://doi.org/10.11648/j.eeb.20220702.13 AB - Plant biomass allocation is a central issue in ecology. Plant ontogeny, as biotic influencing factors, spurs allocation shift among plant different organs. The difficulty is separating the obscure and mixed effect of ontogeny and environmental stress on biomass allocation because of lacking specific information during plant whole life history. In combination with theory in population dynamics and metabolic theory of ecology, we developed a theoretical framework in biomass allocation to investigate the quantitative relationship of leaf biomass fraction vs. plant age, leaf primary productivity fraction vs. plant age. These models fit well with the analysis results from empirical forest dataset. The results show that plant photosynthetic efficiency in accumulation decrease with plant ontogeny, but the annual growth photosynthetic efficiency has no regression relationship with plant age. In addition, plant taxon plays an important role in the relationship of leaf biomass fraction and plant age, and evergreen plants have a higher leaf biomass fraction than deciduous ones. The research here will provide a foundation for further understanding the effect of both plant “true plasticity” and “apparent plasticity” on plant biomass allocation patterns, respectively. VL - 7 IS - 2 ER -
Email: