Functional leaf traits and leaf economics in the Paleogene — A case study for Central Europe

Roth‐Nebelsick, Anita; Grein, Michaela; Traiser, Christopher; Moraweck, Karolin; Kunzmann, Lutz; Kovar-Eder, Johanna; Kvaček, Jiřı́; Stiller, Susann; Neinhuis, Christoph

doi:10.1016/j.palaeo.2017.02.008

Cited by 19 publications

(31 citation statements)

References 105 publications

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“…Thus, the differences in four species regarding plant leaf traits were greatly affected by the forest types and further suggest that studying leaf functional traits at regional scales are more and more important for accurately understanding vegetation-environment relationships at a global scale. Therefore, unraveling history and functional background of leaf traits has the potential to substantially improve our understanding of plant evolution and its interrelationship with environment (Roth-Nebelsick et al, 2017).…”

Section: Relationships Among Leaf Functional Traitsmentioning

confidence: 99%

Effects of forest types on leaf functional traits and their interrelationships of Pinus massoniana coniferous and broad‐leaved mixed forests in the subtropical mountain, Southeastern China

Qin

Shangguan

2019

Ecology and Evolution

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Leaf functional traits are widely used to detect and explain adaptations that enable plants to live under various environmental conditions. This study aims to determine the difference in leaf functional traits among four forest types of Pinus massoniana coniferous and broad‐leaved mixed forests by leaf morphological, nutrients, and stoichiometric traits in the subtropical mountain, Southeastern China. Our study indicated that the evergreen conifer species of P. massoniana had higher leaf dry matter content (LDMC), leaf C content, C/N and C/P ratios, while the three deciduous broad‐leaved species of L. formosana, Q. tissima, and P. strobilacea had higher specific leaf area (SLA), leaf N, leaf P nutrient contents, and N/P ratio in the three mixed forest types. The results showed that the species of P. massoniana has adapted to the nutrient‐poor environment by increasing their leaf dry matter for higher construction costs thereby reducing water loss and reflects a resource conservation strategy. In contrast, the three species of L. formosana, Q. tissima, and P. strobilacea exhibited an optimized resource acquisition strategy rather than resource conservation strategy in the subtropical mountain of southeastern China. Regarding the four forest types, the three mixed forest types displayed increased plant leaf nutrient contents when compared to the pure P. massoniana forest, especially the P. massoniana–L. formosana mixed forest type (PLM). Overall, variation in leaf functional traits among different forest types may play an adaptive role in the successful survival of plants under diverse environments because leaf functional traits can lead to significant effects on leaf function, especially for their acquisition of nutrients and use of light. The results of this study are beneficial to reveal the changes in plant leaf functional traits at the regional scale, which will provide a foundation for predicting changes in leaf traits and adaptation in the future environment.

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Section: Relationships Among Leaf Functional Traitsmentioning

confidence: 99%

Effects of forest types on leaf functional traits and their interrelationships of Pinus massoniana coniferous and broad‐leaved mixed forests in the subtropical mountain, Southeastern China

Qin

Shangguan

2019

Ecology and Evolution

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“…I found a strong negative correlation between LMA and MAP, consistent with observed relationships in extant plants (Wright et al 2004). Moreover, I found a strong negative correlation between LMA and 3DRY, which can also be found in extant plants (Niinemets 2001) and has been observed in fossil floras of the Eocene and Oligocene of central Europe as well (Roth-Nebelsick et al 2017). Because 3DRY is a three-month long subset of MAP that is by itself highly correlated with LMA, 3DRY was likely one of the most important driving factors in precipitation-driven changes in LMA.…”

Section: Discussionsupporting

confidence: 86%

“…I tested a global LMA response to the EOT (scenario 1) by comparing changes in LMA in different regions from different physical environments. Roth-Nebelsick et al (2017) (Figure 4). At Bridge Creek, the taxa that I could confidently attribute to the Eocene highlands filled the low side of the LMA distribution ( Figure 4), and were significantly lower in LMA than disperser taxa were at Florissant.…”

Section: Functional Responses To the Eotmentioning

confidence: 99%

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Investigating Leaf Economic Strategies Across the End-Cretaceous Mass Extinction and the Eocene-Oligocene Transition

Butrim¹

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“…A new bedrock topography for Antarctica allows for an early Oligocene ice sheet of greater areal extent than today (Wilson et al, 2012), raising the possibility that the temperature component of the EOT d 18 O increase was more modest than previously suggested (Wilson et al, 2013). (Boardman and Secord, 2013;Eldrett et al, 2009;Fan et al, 2017;Gallagher and Sheldon, 2013;Héran et al, 2010;Herman et al, 2017;Hinojosa and Villagrán, 2005;Hren et al, 2013;Kohn et al, 2004;Kvaček et al, 2014;Lielke et al, 2012;Meyers, 2003;Page et al, 2019;Passchier et al, 2013;Roth-Nebelsick et al, 2017;Sheldon and Tabor, 2009;Zanazzi et al, 2007). Where possible, we apply the same method as in Figure 3, i.e.…”

Section: Antarcticamentioning

confidence: 99%

The Eocene-Oligocene transition: a review of marine and terrestrial proxy data, models and model-data comparisons

Hutchinson¹,

Coxall²,

Lunt³

et al. 2020

Preprint

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Abstract. The Eocene-Oligocene transition (EOT) from a largely ice-free greenhouse world to an icehouse climate with the first major glaciation of Antarctica was a phase of major climate and environmental change occurring ~34 million years ago (Ma) and lasting ~500 kyr. The change is marked by a global shift in deep sea δ18O representing a combination of deep-ocean cooling and global ice sheet growth. At the same time, multiple independent proxies for sea surface temperature indicate a surface ocean cooling, and major changes in global fauna and flora record a shift toward more cold-climate adapted species. The major explanations of this transition that have been suggested are a decline in atmospheric CO2, and changes to ocean gateways, while orbital forcing likely influenced the precise timing of the glaciation. This work reviews and synthesises proxy evidence of paleogeography, temperature, ice sheets, ocean circulation, and CO2 change from the marine and terrestrial realms. Furthermore, we quantitatively compare proxy records of change to an ensemble of model simulations of temperature change across the EOT. The model simulations compare three forcing mechanisms across the EOT: CO2 decrease, paleogeographic changes, and ice sheet growth. We find that CO2 forcing provides by far the best explanation of the combined proxy evidence, and based on our model ensemble, we estimate that a CO2 decrease of about 1.6× across the EOT (e.g. from 910 to 560 ppmv) achieves the best fit to the temperature change recorded in the proxies. This model-derived CO2 decrease is consistent with proxy estimates of CO2 decline at the EOT.

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Functional leaf traits and leaf economics in the Paleogene — A case study for Central Europe

Cited by 19 publications

References 105 publications

Effects of forest types on leaf functional traits and their interrelationships of Pinus massoniana coniferous and broad‐leaved mixed forests in the subtropical mountain, Southeastern China

Effects of forest types on leaf functional traits and their interrelationships of Pinus massoniana coniferous and broad‐leaved mixed forests in the subtropical mountain, Southeastern China

Investigating Leaf Economic Strategies Across the End-Cretaceous Mass Extinction and the Eocene-Oligocene Transition

The Eocene-Oligocene transition: a review of marine and terrestrial proxy data, models and model-data comparisons

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