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Items: 1 to 20 of 614

1.

Leaf age effects on the spectral predictability of leaf traits in Amazonian canopy trees.

Chavana-Bryant C, Malhi Y, Anastasiou A, Enquist BJ, Cosio EG, Keenan TF, Gerard FF.

Sci Total Environ. 2019 May 20;666:1301-1315. doi: 10.1016/j.scitotenv.2019.01.379. Epub 2019 Feb 16.

PMID:
30970495
2.

Variation in leaf morphological, stomatal, and anatomical traits and their relationships in temperate and subtropical forests.

Liu C, Li Y, Xu L, Chen Z, He N.

Sci Rep. 2019 Apr 9;9(1):5803. doi: 10.1038/s41598-019-42335-2.

3.

Leaf mechanical strength and photosynthetic capacity vary independently across 57 subtropical forest species with contrasting light requirements.

He P, Wright IJ, Zhu S, Onoda Y, Liu H, Li R, Liu X, Hua L, Oyanoghafo OO, Ye Q.

New Phytol. 2019 Mar 18. doi: 10.1111/nph.15803. [Epub ahead of print]

PMID:
30887533
4.

Leaf heteroblasty in Passiflora edulis as revealed by metabolic profiling and expression analyses of the microRNAs miR156 and miR172.

Silva PO, Batista DS, Cavalcanti JHF, Koehler AD, Vieira LM, Fernandes AM, Barrera-Rojas CH, Ribeiro DM, Nogueira FTS, Otoni WC.

Ann Bot. 2019 Mar 12. pii: mcz025. doi: 10.1093/aob/mcz025. [Epub ahead of print]

PMID:
30861065
5.

Physical, but not chemical, antiherbivore defense expression is related to the clustered spatial distribution of tropical trees in an Amazonian forest.

Cobo-Quinche J, Endara MJ, Valencia R, Muñoz-Upegui D, Cárdenas RE.

Ecol Evol. 2019 Jan 31;9(4):1750-1763. doi: 10.1002/ece3.4859. eCollection 2019 Feb.

6.

Predicting ozone levels from climatic parameters and leaf traits of Bel-W3 tobacco variety.

Käffer MI, Domingos M, Lieske I, Vargas VMF.

Environ Pollut. 2019 Feb 1;248:471-477. doi: 10.1016/j.envpol.2019.01.130. [Epub ahead of print]

PMID:
30826610
7.

LiDARPheno - A Low-Cost LiDAR-Based 3D Scanning System for Leaf Morphological Trait Extraction.

Panjvani K, Dinh AV, Wahid KA.

Front Plant Sci. 2019 Feb 13;10:147. doi: 10.3389/fpls.2019.00147. eCollection 2019.

8.

Partitioning of mesophyll conductance for CO2 into intercellular and cellular components using carbon isotope composition of cuticles from opposite leaf sides.

Šantrůček J, Schreiber L, Macková J, Vráblová M, Květoň J, Macek P, Neuwirthová J.

Photosynth Res. 2019 Feb 26. doi: 10.1007/s11120-019-00628-7. [Epub ahead of print]

PMID:
30806882
9.

Spectroscopy can predict key leaf traits associated with source-sink balance and carbon-nitrogen status.

Ely KS, Burnett AC, Lieberman-Cribbin W, Serbin SP, Rogers A.

J Exp Bot. 2019 Mar 27;70(6):1789-1799. doi: 10.1093/jxb/erz061.

PMID:
30799496
10.

Exotic plant species are locally adapted but not to high ultraviolet-B radiation: a reciprocal multispecies experiment.

Hock M, Hofmann RW, Müller C, Erfmeier A.

Ecology. 2019 Feb 15:e02665. doi: 10.1002/ecy.2665. [Epub ahead of print]

PMID:
30770567
11.

Microscale trait-environment associations in two closely-related South African shrubs.

Mitchell N, Holsinger KE.

Am J Bot. 2019 Feb;106(2):211-222. doi: 10.1002/ajb2.1234. Epub 2019 Feb 15.

PMID:
30768876
12.

Within-crown plasticity in leaf traits among the tallest conifers.

Chin ARO, Sillett SC.

Am J Bot. 2019 Feb;106(2):174-186. doi: 10.1002/ajb2.1230. Epub 2019 Feb 6.

PMID:
30726576
13.

Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs.

Firn J, McGree JM, Harvey E, Flores-Moreno H, Schütz M, Buckley YM, Borer ET, Seabloom EW, La Pierre KJ, MacDougall AM, Prober SM, Stevens CJ, Sullivan LL, Porter E, Ladouceur E, Allen C, Moromizato KH, Morgan JW, Harpole WS, Hautier Y, Eisenhauer N, Wright JP, Adler PB, Arnillas CA, Bakker JD, Biederman L, Broadbent AAD, Brown CS, Bugalho MN, Caldeira MC, Cleland EE, Ebeling A, Fay PA, Hagenah N, Kleinhesselink AR, Mitchell R, Moore JL, Nogueira C, Peri PL, Roscher C, Smith MD, Wragg PD, Risch AC.

Nat Ecol Evol. 2019 Mar;3(3):400-406. doi: 10.1038/s41559-018-0790-1. Epub 2019 Feb 4.

PMID:
30718853
14.

Mechanisms of Resistance to Insect Herbivores in Isolated Breeding Lineages of Cucurbita pepo.

Brzozowski LJ, Mazourek M, Agrawal AA.

J Chem Ecol. 2019 Feb 1. doi: 10.1007/s10886-019-01046-8. [Epub ahead of print]

PMID:
30706281
15.

Anatomical changes with needle length are correlated with leaf structural and physiological traits across five Pinus species.

Wang N, Palmroth S, Maier CA, Domec JC, Oren R.

Plant Cell Environ. 2019 May;42(5):1690-1704. doi: 10.1111/pce.13516. Epub 2019 Feb 11.

PMID:
30684950
16.

The Analysis of Leaf Traits of Eight Ottelia Populations and Their Potential Ecosystem Functions in Karst Freshwaters in China.

Cao Y, Liu Y, Ndirangu L, Li W, Xian L, Jiang HS.

Front Plant Sci. 2019 Jan 7;9:1938. doi: 10.3389/fpls.2018.01938. eCollection 2018.

17.

Plant evolutionary history mainly explains the variance in biomass responses to climate warming at a global scale.

Shao J, Yuan T, Li Z, Li N, Liu H, Bai SH, Xia J, Lu M, Zhou X.

New Phytol. 2019 May;222(3):1338-1351. doi: 10.1111/nph.15695. Epub 2019 Feb 17.

PMID:
30664250
18.

Rainforest trees respond to drought by modifying their hydraulic architecture.

Tng DYP, Apgaua DMG, Ishida YF, Mencuccini M, Lloyd J, Laurance WF, Laurance SGW.

Ecol Evol. 2018 Dec 11;8(24):12479-12491. doi: 10.1002/ece3.4601. eCollection 2018 Dec.

19.

Height-related variations of leaf traits reflect strategies for maintaining photosynthetic and hydraulic homeostasis in mature and old Pinus densiflora trees.

Azuma W, Ishii HR, Masaki T.

Oecologia. 2019 Feb;189(2):317-328. doi: 10.1007/s00442-018-4325-x. Epub 2019 Jan 5.

PMID:
30612226
20.

Seasonal responses of photosynthetic parameters in maize and sunflower and their relationship with leaf functional traits.

Miner GL, Bauerle WL.

Plant Cell Environ. 2019 May;42(5):1561-1574. doi: 10.1111/pce.13511. Epub 2019 Jan 29.

PMID:
30604429

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