Recycled alkaline paper waste influenced growth and structure of Pinus taeda L. forest

Rabel, Diego de Oliveira; Maeda, Shizuo; Araújo, Eloá Moura; Gomes, João Bosco Vasconcelos; Bognolla, Itamar Antônio; Magri, Ederlan; Frigo, Cleiton; Brasileiro, Bruno Portela; Santos, Mariana Custodio dos; Pedreira, Guilherme Quaresma; Motta, Antônio Carlos Vargas

doi:10.1007/s11056-020-09791-5

Cited by 10 publications

(3 citation statements)

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“…In general, K concentration was very low for both NL and OL. Rabel et al (2020) reported higher levels in old and new litter for a P. taeda experiment in a nearby state. In addition, it is well known that large portions of K can be redistributed at rates greater than 90% to growing parts of plants via translocation (Vieira & Schumacher 2009), especially under K deficiency.…”

Section: Forest Floor Litter Fractionsmentioning

confidence: 91%

“…In addition, it is well known that large portions of K can be redistributed at rates greater than 90% to growing parts of plants via translocation (Vieira & Schumacher 2009), especially under K deficiency. In this context, Rabel et al (2020) reported that the second needle flush had ten times more K than the new litter layer. This high rate of redistribution could be a possible explanation for the lack of response.…”

Section: Forest Floor Litter Fractionsmentioning

confidence: 99%

“…Leaching and root absorption can result in decreased concentrations while mass loss from decomposition and/ or input from tree canopy litterfall can have an inverse effect. In addition, Fe and Al are major soil constituents that can strongly affect litter composition by direct soil contact and deposition via soil bioturbation (Marschner & Wilczynski 1991, Rodrigues et al 2018, Rabel et al 2020.…”

Section: Introductionmentioning

confidence: 99%

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Mid-rotation fertilization and liming of Pinus taeda: growth, litter, fine root mass, and elemental composition

Adam¹,

Rodrigues²,

Magri³

et al. 2021

iForest

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Biogeosciences and Forestry Biogeosciences and ForestryMid-rotation fertilization and liming of Pinus taeda: growth, litter, fine root mass, and elemental composition William Magrim Adam (1) , Valdécio Dos Santos Rodrigues (2) , Ederlan Magri (2) , Antônio Carlos Motta Vargas (2) , Stephen A Prior (3) , Leandro Moraes Zambon (4) , Rubia Luciane Dominschek Lima (2)Forest floor litter can influence biogeochemical cycling and root growth in Pinus taeda systems, especially on low soil fertility sites. The impact of fertilization and liming on forest floor litter (quantity, elemental composition and root presence) was evaluated in a Pinus taeda stand in southern Brazil. A nutrient omission experiment was initiated in November 2008 on an 11 year-old Pinus taeda plantation. The experiment was a randomized block design with seven treatments and four blocks. The treatments were: complete (macro + micro + lime); minus macronutrients; minus micronutrients; minus K; minus Zn; minus lime; and control. In 2012, forest floor litter samples were collected, divided by layer (new litter, old litter, coarse fragmented forest layer > 2mm, fine fragment forest floor < 2mm, and fine roots) and analyzed for concentrations of Na, Al, and total nutrients. Results indicated that lime increased Ca and Mg concentrations, reduced Al toxicity, and improved fine root growth. An increase in fine roots was observed in treatments without K. There were large increases in Fe and Al as a function of litter age and increased Mn in fragmented litter when lime was applied. There was little variation in forest floor litter accumulation in all treatments. Elemental abundance was C>N>Fe>P> Ca>K>Mg>Mn under control conditions and C>N>Ca>Mg>P>Fe>Mn>K for the complete treatment. Occurrence of needle chlorosis, similar to that reported for Mg, and low growth under lime omission indicate that Mg was a major factor limiting growth. Fertilization and liming affected the bio-cycling of nutrients, Al toxicity, and root growth.

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Section: Forest Floor Litter Fractionsmentioning

confidence: 91%

Section: Forest Floor Litter Fractionsmentioning

confidence: 99%