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森林人口最优理论。

A theory of demographic optimality in forests.

机构信息

Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, EX4 4QF, UK.

Met Office Hadley Centre, Fitzroy Road, Exeter, EX1 3PB, UK.

出版信息

Sci Rep. 2023 Oct 31;13(1):18712. doi: 10.1038/s41598-023-44860-7.

DOI:10.1038/s41598-023-44860-7
PMID:37907540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10618179/
Abstract

Carbon uptake by the land is a key determinant of future climate change. Unfortunately, Dynamic Global Vegetation Models have many unknown internal parameters which leads to significant uncertainty in projections of the future land carbon sink. By contrast, observed forest inventories in both Amazonia and the USA show strikingly common tree-size distributions, pointing to a simpler modelling paradigm. The curvature of these size-distributions is related to the ratio of mortality to growth in Demographic Equilibrium Theory (DET). We extend DET to include recruitment limited by competitive exclusion from existing trees. From this, we find simultaneous maxima of tree density and biomass in terms of respectively the ratio of mortality to growth and the proportion of primary productivity allocated to reproduction, an idea we call Demographic Optimality (DO). Combining DO with the ratio of mortality to growth common to the US and Amazon forests, results in the prediction that about an eighth of productivity should be allocated to reproduction, which is broadly consistent with observations. Another prediction of the model is that seed mortality should decrease with increasing seed size, such that the advantage of having many small seeds is nullified by the higher seed mortality. Demographic Optimality is therefore consistent with the common shape of tree-size distributions seen in very different forests, and an allocation to reproduction that is independent of seed size.

摘要

陆地碳吸收是未来气候变化的关键决定因素。不幸的是,动态全球植被模型有许多未知的内部参数,这导致对未来陆地碳汇的预测存在很大的不确定性。相比之下,在亚马逊地区和美国的观测森林清查都显示出明显的共同树木大小分布,指向一个更简单的建模范例。这些大小分布的曲率与生存竞争对生长的比例有关,这在动态平衡理论(DET)中有所体现。我们将 DET 扩展到包括由现有树木的竞争排斥限制的招募。由此,我们发现树木密度和生物量的同时最大值分别与死亡率与生长的比例以及分配给繁殖的初级生产力的比例有关,我们称之为“人口最优”(DO)。将 DO 与美国和亚马逊森林共有的死亡率与生长的比例相结合,预测大约有八分之一的生产力应该分配给繁殖,这与观察结果大致一致。该模型的另一个预测是种子死亡率应随种子大小的增加而降低,从而使具有许多小种子的优势被更高的种子死亡率所抵消。因此,人口最优与在非常不同的森林中看到的共同树木大小分布形状以及与种子大小无关的繁殖分配是一致的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/51a30da890c4/41598_2023_44860_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/4fa9f7420da2/41598_2023_44860_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/49df8afdfe11/41598_2023_44860_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/f9c788395666/41598_2023_44860_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/3d5342477374/41598_2023_44860_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/55e64ea7f3b5/41598_2023_44860_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/51a30da890c4/41598_2023_44860_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/4fa9f7420da2/41598_2023_44860_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/49df8afdfe11/41598_2023_44860_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/f9c788395666/41598_2023_44860_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/3d5342477374/41598_2023_44860_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/55e64ea7f3b5/41598_2023_44860_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b420/10618179/51a30da890c4/41598_2023_44860_Fig6_HTML.jpg

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本文引用的文献

1
The evolution, complexity and diversity of models of long-term forest dynamics.长期森林动态模型的演变、复杂性和多样性。
J Ecol. 2022 Oct;110(10):2288-2307. doi: 10.1111/1365-2745.13989. Epub 2022 Sep 8.
2
Process-oriented analysis of dominant sources of uncertainty in the land carbon sink.面向过程的陆地碳汇不确定性主导来源分析。
Nat Commun. 2022 Aug 15;13(1):4781. doi: 10.1038/s41467-022-32416-8.
3
Field-based tree mortality constraint reduces estimates of model-projected forest carbon sinks.基于实地的树木死亡率限制降低了模型预测的森林碳汇估计值。
Nat Commun. 2022 Apr 19;13(1):2094. doi: 10.1038/s41467-022-29619-4.
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Climate Change Risks to Global Forest Health: Emergence of Unexpected Events of Elevated Tree Mortality Worldwide.气候变化对全球森林健康的风险:全球范围内树木异常高死亡率事件的出现。
Annu Rev Plant Biol. 2022 May 20;73:673-702. doi: 10.1146/annurev-arplant-102820-012804. Epub 2022 Mar 1.
5
Tree mode of death and mortality risk factors across Amazon forests.树木死亡模式与亚马逊森林死亡率风险因素。
Nat Commun. 2020 Nov 9;11(1):5515. doi: 10.1038/s41467-020-18996-3.
6
Vegetation demographics in Earth System Models: A review of progress and priorities.地球系统模型中的植被动态学:进展与优先事项综述。
Glob Chang Biol. 2018 Jan;24(1):35-54. doi: 10.1111/gcb.13910. Epub 2017 Oct 24.
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Philos Trans R Soc Lond B Biol Sci. 2011 Nov 27;366(1582):3225-45. doi: 10.1098/rstb.2011.0062.
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The tolerance-fecundity trade-off and the maintenance of diversity in seed size.耐受性-繁殖力权衡与种子大小多样性的维持。
Proc Natl Acad Sci U S A. 2010 Mar 2;107(9):4242-7. doi: 10.1073/pnas.0911637107. Epub 2010 Feb 16.
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Proc Natl Acad Sci U S A. 2009 Apr 28;106(17):7040-5. doi: 10.1073/pnas.0812294106. Epub 2009 Apr 10.