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Academic literature on the topic 'Leaf economic spectrum'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 June 2025

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Journal articles on the topic "Leaf economic spectrum"

1

de la Riva, Enrique G., Iván Prieto, and Rafael Villar. "The leaf economic spectrum drives leaf litter decomposition in Mediterranean forests." Plant and Soil 435, no. 1-2 (2018): 353–66. http://dx.doi.org/10.1007/s11104-018-3883-3.

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2

Sack, Lawren, Christine Scoffoni, Grace P. John, et al. "How do leaf veins influence the worldwide leaf economic spectrum? Review and synthesis." Journal of Experimental Botany 64, no. 13 (2013): 4053–80. http://dx.doi.org/10.1093/jxb/ert316.

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3

Jin, Ying, Chuankuan Wang, Zhenghu Zhou, and Zhimin Li. "Co-ordinated performance of leaf hydraulics and economics in 10 Chinese temperate tree species." Functional Plant Biology 43, no. 11 (2016): 1082. http://dx.doi.org/10.1071/fp16097.

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Exploring relationships between leaf hydraulics and economic traits is important in understanding the carbon–water coupling and in extending the leaf economics spectrum. In this study, leaf hydraulics, photosynthesis, structural and nutrient traits and photosynthetic resource use efficiency were measured for 10 temperate tree species in the north-eastern China. Leaf hydraulic conductance was positively correlated with photosynthetic traits, specific leaf area, leaf nitrogen concentration, photosynthetic water and nitrogen use efficiencies, suggesting co-ordination between leaf hydraulics and economic traits. Principal component analysis revealed that significant correlations existed among leaf hydraulic, photosynthetic and resource use traits (axis 1), and axis 2 was strongly associated with leaf structural and nutrient traits. The 10 species were distributed along the diagonal line between axis 1 and axis 2. Species displaying the ‘fast’ strategy tended to have higher photosynthetic rates, leaf hydraulic conductance and photosynthetic water and nutrient use efficiencies; however, they also had lower carbon investment and faced a greater risk of embolism. These findings indicate that leaf hydraulics, economics and resource uses together play an important role in determining species ecological strategies, and provide supports for the ‘fast–slow’ leaf economics spectrum.
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Edwards, Erika J., David S. Chatelet, Lawren Sack, and Michael J. Donoghue. "Leaf life span and the leaf economic spectrum in the context of whole plant architecture." Journal of Ecology 102, no. 2 (2014): 328–36. http://dx.doi.org/10.1111/1365-2745.12209.

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5

Somavilla, Nádia Sílvia, Rosana Marta Kolb, and Davi Rodrigo Rossatto. "Leaf anatomical traits corroborate the leaf economic spectrum: a case study with deciduous forest tree species." Brazilian Journal of Botany 37, no. 1 (2013): 69–82. http://dx.doi.org/10.1007/s40415-013-0038-x.

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6

Shi, Zhaoyong, Ke Li, Xiaoyue Zhu, and Fayuan Wang. "The worldwide leaf economic spectrum traits are closely linked with mycorrhizal traits." Fungal Ecology 43 (February 2020): 100877. http://dx.doi.org/10.1016/j.funeco.2019.100877.

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7

Xu, Jin Hong, and Jin Ting Yu. "Air Dustfall Impact on Spectrum of Ficus Microcarpa’s Leaf." Advanced Materials Research 655-657 (January 2013): 813–15. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.813.

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This article has studied the correlation relationship between the spectral features of polluted leaf surface of Ficus microcarpa and air dustfall in Guangzhou City. The results show that the spectral reflectance of leaves in the industrial area and large traffic area is 3-5.5% higher than that of leaves in cleaning area in the visible band, but is 10-15% lower in the near infrared band. Compared to the spectral reflectance of the cleaned leaf, the spectral reflectance of leaf on nature dirty is 6.6％ higher in the visible band and 25.6% lower in the infrared band. The spectral reflectance difference between dirty leaf and cleaned leaf in the infrared band has a strong correlation with air dustfall in Guangzhou city. The correlation coefficient is 0.821. It is simple and convenient, fast, economic method to monitor the air dustfall using the spectral characteristic of Ficus microcarpa’s leaf.
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8

Thomson, Eleanor, Yadvinder Malhi, Harm Bartholomeus, et al. "Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery." Remote Sensing 10, no. 10 (2018): 1532. http://dx.doi.org/10.3390/rs10101532.

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The leaf economic spectrum (LES) describes a set of universal trade-offs between leaf mass per area (LMA), leaf nitrogen (N), leaf phosphorus (P) and leaf photosynthesis that influence patterns of primary productivity and nutrient cycling. Many questions regarding vegetation-climate feedbacks can be addressed with a better understanding of LES traits and their controls. Remote sensing offers enormous potential for generating large-scale LES trait data. Yet so far, canopy studies have been limited to imaging spectrometers onboard aircraft, which are rare, expensive to deploy and lack fine-scale resolution. In this study, we measured VNIR (visible-near infrared (400–1050 nm)) reflectance of individual sun and shade leaves in 7 one-ha tropical forest plots located along a 1200–2000 mm precipitation gradient in West Africa. We collected hyperspectral imaging data from 3 of the 7 plots, using an octocopter-based unmanned aerial vehicle (UAV), mounted with a hyperspectral mapping system (450–950 nm, 9 nm FWHM). Using partial least squares regression (PLSR), we found that the spectra of individual sun leaves demonstrated significant (p < 0.01) correlations with LMA and leaf chemical traits: r2 = 0.42 (LMA), r2 = 0.43 (N), r2 = 0.21 (P), r2 = 0.20 (leaf potassium (K)), r2 = 0.23 (leaf calcium (Ca)) and r2 = 0.14 (leaf magnesium (Mg)). Shade leaf spectra displayed stronger relationships with all leaf traits. At the airborne level, four of the six leaf traits demonstrated weak (p < 0.10) correlations with the UAV-collected spectra of 58 tree crowns: r2 = 0.25 (LMA), r2 = 0.22 (N), r2 = 0.22 (P), and r2 = 0.25 (Ca). From the airborne imaging data, we used LMA, N and P values to map the LES across the three plots, revealing precipitation and substrate as co-dominant drivers of trait distributions and relationships. Positive N-P correlations and LMA-P anticorrelations followed typical LES theory, but we found no classic trade-offs between LMA and N. Overall, this study demonstrates the application of UAVs to generating LES information and advancing the study and monitoring tropical forest functional diversity.
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9

Lubbe, F. Curtis, Adam Klimeš, Jiří Doležal, et al. "Carbohydrate storage in herbs: the forgotten functional dimension of the plant economic spectrum." Annals of Botany 127, no. 6 (2021): 813–25. http://dx.doi.org/10.1093/aob/mcab014.

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Abstract Background and Aims Although the plant economic spectrum seeks to explain resource allocation strategies, carbohydrate storage is often omitted. Belowground storage organs are the centre of herb perennation, yet little is known about the role of their turnover, anatomy and carbohydrate storage in relation to the aboveground economic spectrum. Methods We collected aboveground traits associated with the economic spectrum, storage organ turnover traits, storage organ inner structure traits and storage carbohydrate concentrations for ~80 temperate meadow species. Key Results The suites of belowground traits were largely independent of one another, but there was significant correlation of the aboveground traits with both inner structure and storage carbohydrates. Anatomical traits diverged according to leaf nitrogen concentration on the one hand and vessel area and dry matter content on the other; carbohydrates separated along gradients of leaf nitrogen concentration and plant height. Conclusions Contrary to our expectations, aboveground traits and not storage organ turnover were correlated with anatomy and storage carbohydrates. Belowground traits associated with the aboveground economic spectrum also did not fall clearly within the fast–slow economic continuum, thus indicating the presence of a more complicated economic space. Our study implies that the generally overlooked role of storage within the plant economic spectrum represents an important dimension of plant strategy.
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10

Bergmann, Joana, Alexandra Weigelt, Fons van der Plas, et al. "The fungal collaboration gradient dominates the root economics space in plants." Science Advances 6, no. 27 (2020): eaba3756. http://dx.doi.org/10.1126/sciadv.aba3756.

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Plant economics run on carbon and nutrients instead of money. Leaf strategies aboveground span an economic spectrum from “live fast and die young” to “slow and steady,” but the economy defined by root strategies belowground remains unclear. Here, we take a holistic view of the belowground economy and show that root-mycorrhizal collaboration can short circuit a one-dimensional economic spectrum, providing an entire space of economic possibilities. Root trait data from 1810 species across the globe confirm a classical fast-slow “conservation” gradient but show that most variation is explained by an orthogonal “collaboration” gradient, ranging from “do-it-yourself” resource uptake to “outsourcing” of resource uptake to mycorrhizal fungi. This broadened “root economics space” provides a solid foundation for predictive understanding of belowground responses to changing environmental conditions.
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