Successional habitat filtering of rainforest trees is explained by potential growth more than by functional traits

Kleinschmidt, S.; Wanek, Wolfgang; Kreinecker, Felix; Hackl, Daniel; Jenking, Daniel; Weissenhofer, Anton; Hietz, Peter

doi:10.1111/1365-2435.13571

Cited by 6 publications

(5 citation statements)

References 52 publications

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“…Previous global studies, however, have not accounted for other potentially relevant functional dimensions, such as those described by root and hydraulic traits. Concerning the latter, a study of a reforestation trial in Costa Rica reported similar results as ours, with the leaf economics spectrum being roughly orthogonal to wood density and hydraulic conductivity, although in their case hydraulic conductivity (estimated from anatomy) was negatively related to wood density (Kleinschmidt et al, 2020). In another study in Bolivia, wood density strongly covaried with leaf economics traits and vulnerability to xylem embolism, whereas hydraulic conductance was largely orthogonal to that axis (Markesteijn et al, 2011. Although our results provide evidence for a tight coordination between stem hydraulics (at least P 50 ) and leaf-level traits (cf.…”

Section: Trait Effects Cannot Be Considered In Isolationsupporting

confidence: 81%

“…It is clear, however, that different growth metrics characterize different dimensions of whole-plant growth (e.g. Gibert et al, 2016;Kleinschmidt et al, 2020), thus a key question remains to determine which of them is the best proxy for fitness in a given ecological context. Regardless of this, our study adds to the evidence showing that 'functional' traits, including 'mechanistic', hydraulic traits (sensu Brodribb, 2017), are not necessarily good predictors of demographic rates, at least for mature trees (Gibert et al, 2016;van der Sande et al, 2015;Yang et al, 2018).…”

Section: 'Functional' Traits Are Weak Predictors Of Individual Radial Growthmentioning

confidence: 99%

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Are leaf, stem and hydraulic traits good predictors of individual tree growth?

et al. 2021

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Section: Trait Effects Cannot Be Considered In Isolationsupporting

confidence: 81%

Section: 'Functional' Traits Are Weak Predictors Of Individual Radial Growthmentioning

confidence: 99%

Are leaf, stem and hydraulic traits good predictors of individual tree growth?

et al. 2021

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“…Increased plant height, LA and SLA reflect rapid resource-acquisition strategy and growth rates [ 26 ]. Plants with higher LDMC have thicker and more rigid cell walls, which allows to lower leaf water potential and to maintain the cell turgor to enhance leaf resistance to physical stress [ 27 ]. Plants with high LNC have strong photosynthetic capacity and fast plant growth [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Contrasting effects of plant inter- and intraspecific variation on community trait responses to nitrogen addition and drought in typical and meadow steppes

et al. 2022

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Background Inter- and intraspecific variation in plant traits play an important role in grassland community assembly under global change scenarios. However, explorations of how these variations contribute to the responses of community traits to nitrogen (N) addition and drought in different grassland types are lacking. We measured the plant height, leaf area (LA), specific leaf area (SLA), leaf dry matter content (LDMC), leaf N content (LNC) and the ratio of leaf carbon (C) to leaf N (C:N) in a typical and a meadow steppe after three years of N addition, drought and their interaction. We determined the community-weighted means (CWMs) of the six traits to quantify the relative contribution of inter- and intraspecific variation to the responses of community traits to N addition and drought in the two steppes. Results The communities in the two steppes responded to N addition and the interaction by increasing the CWM of LNC and decreasing C:N. The community in the meadow steppe responded to drought through increased CWM of LNC and reduced C:N. Significant differences were observed in SLA, LDMC, LNC and C:N between the two steppes under different treatments. The SLA and LNC of the community in the meadow steppe were greater than those of the typical steppe, and the LDMC and C:N exhibited the opposite results. Moreover, variation in community traits in the typical steppe in response to N addition and drought was caused by intraspecific variation. In contrast, the shifts in community traits in the meadow steppe in response to N addition and drought were influenced by both inter- and intraspecific variation. Conclusions The results demonstrate that intraspecific variation contributed more to community functional shifts in the typical steppe than in the meadow steppe. Intraspecific variation should be considered to understand better and predict the response of typical steppe communities to global changes. The minor effects of interspecific variation on meadow steppe communities in response to environmental changes also should not be neglected.

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“…This indicates that under the pollution of atmospheric particulate matter, the Euonymus japonicus enhances its nutrient deposition capacity by reducing the speci c leaf area. Most of the energy of plant photosynthesis comes from the light energy captured by photosynthetic pigments, so the chlorophyll content is closely related to the plant photosynthetic capacity (Kleinschmidt et al, 2020). In this study, the chlorophyll content decreased signi cantly due to the increase in the amount of dust trapped on the leaf surface, which may be due to the cover of the leaf surface particles, which led to a decrease in the area of light resources captured (Fig.…”

Section: Effect Of Urban Atmospheric Particulate Matter On Leaf Functional Traitsmentioning

confidence: 66%

Leaf Functional Traits Differentiation and Its Trade-off Strategies of Urban Plant are Related to Atmospheric Particulate Pollution

Zhu

Qing

et al. 2021

Preprint

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Background: Functional trait-based ecological research has been instrumental in advancing our understanding of understanding of environmental changes. It is still, however, unclear how the functional traits of urban plants respond to atmospheric particulate pollution, and what trade-off strategies are shown. In order to explore the variation of plant functional traits with urban atmospheric particulate pollution gradient, we divided atmospheric particulate pollution into three levels according to road distance, and measured the variation of six key leaf functional traits and their trade-off strategies. Results: Here, we show that the functional traits of plants can be used as predictors or indicators of the response of plant to urban atmospheric particulate pollution. Within studies, there was a positive correlation between leaf thickness, leaf dry matter content, leaf tissue density, stomata density and leaf dust deposition. While chlorophyll content index and specific leaf area were negatively correlated with the leaf dust deposition. Plants improve the efficiency of gas exchange by optimizing the spatial distribution of stomata of leaves. Dust deposition promotes the regular distribution of stomata. Due to the pressure of atmospheric particles, urban plant shows a trade-off relationship of economics spectrum traits at the leaf level. Taken together, these results indicate that urban atmospheric particulate pollution is the main factor causing the variation of plant functional traits. Conclusion：Under the influence of urban atmospheric particulate matter, plant show a "slow investment-return" type in the global leaf economics spectrum, with lower specific leaf area, lower chlorophyll content, larger leaf thickness, higher leaf dry matter content, higher leaf tissue density and higher stomatal density. This finding provides a new perspective for understanding the resource trades-off strategy of plants adapting to air pollution environment.

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Successional habitat filtering of rainforest trees is explained by potential growth more than by functional traits

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 6 publications

References 52 publications

Are leaf, stem and hydraulic traits good predictors of individual tree growth?

Are leaf, stem and hydraulic traits good predictors of individual tree growth?

Contrasting effects of plant inter- and intraspecific variation on community trait responses to nitrogen addition and drought in typical and meadow steppes

Leaf Functional Traits Differentiation and Its Trade-off Strategies of Urban Plant are Related to Atmospheric Particulate Pollution

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