Published

2021-01-01

Influence of burning and weed control on the soil fertility and vegetation cover of Brazilian Amazon pastures

Influencia de la quema y el control de malezas sobre la fertilizad del suelo y la cobertura de vegetal de los pastizales de la Amazonía brasileña

Keywords:

Bare soil, Fire, Forest, soil erosion, Urochloa brizantha (en)
Suelo desnudo, Fuego, Bosque, erosión del suelo, Urochloa brizantha (es)

Authors

In pastures it is common to use fire to control weeds, justified by the increase in soil fertility that ashes can generate. However, the benefits of this process is short-lived, and also increase the soil exposure. The permanence of weeds can contribute to the vegetation cover in areas of deficient pastures. This study aimed to evaluate the effect of prescribed burning and mowing on vegetation cover of Urochloa brizantha (U. brizantha) pastures and soil surface fertility in pastures located in the Brazilian Amazon. The study was conducted in Itupiranga, Pará state, Brazilian Amazon. Five pastures of U. brizantha cv. Marandu and a forest area were evaluated. The soil was a Ferralsol. Vegetation cover was estimated using a quadrat. Four composite soil samples were taken in each area, collected from 0–0.05 m depth. The percentage of vegetal cover of U. brizantha, weeds and bare soil was measured and fertility in soil samples (pH, Al3+, Ca2+, Mg2+, K+, Na+, P, and H+Al) were determined. Three groups were identified in the evaluated pasture plots. Group I had the highest average percentage of bare soil (33.5%) and was associated with H+Al and P values. Group II had the highest average of U. brizantha cover (90%) and was associated with Ca2++Mg2+ and K+. Group III had the highest average of weed cover (53.4%) and was associated with Al3+. The higher percentage of U. brizantha in Group II was favored by the burning later. This group presented better levels of K+, Mg2+ and sum of bases. The management adopting the least use of fire on the pastures, with longer time for the regeneration of forage, combined with the mechanical control of weeds, can be the best alternative for maintaining the soil cover and bringing benefits for quality surface layer of the soil.

En los pastos es común utilizar el fuego para controlar las malas hierbas justificado por el incremento de fertilidad en el suelo que pueden generar las cenizas. Sin embargo, los beneficios de este proceso son de corta duración, además de aumentar la exposición del suelo. La permanencia de las malezas puede contribuir a la cobertura vegetal en áreas de pastos deficientes. Este estudio tuvo como objetivo evaluar el efecto de la quema prescripta y corte de malezas en la cobertura vegetal de los pastos de U. brizantha y en la fertilidad de la superficie del suelo en pastos ubicados en la Amazonía brasileña. El estudio se realizó en Itupiranga, estado de Pará, Amazonía brasileña. Cinco pasturas de U. brizantha cv. Marandu y un área de bosque fueron evaluados. El suelo era un “Latosol Rojo-Amarillo” (Ferralsols). La cobertura vegetal se estimó utilizando un cuadrante. Se tomaron cuatro muestras de suelo compuestas en cada área, recolectadas de 0–0,05 m de profundidad. Se determinó el porcentaje de cobertura vegetal de U. brizantha, malezas y suelo expuesto y la fertilidad en muestras de suelo (pH, Al3+, Ca2+, Mg2+, K+, Na+, P y H+Al). Se identificaron tres grupos entre las parcelas de pastos evaluadas. El grupo I tuvo el porcentaje promedio más alto de suelo expuesto (33,5%) y se asoció con los valores de H+Al y P. El grupo II tuvo el promedio más alto de cobertura de U. brizantha (90%) y se asoció con Ca2+ + Mg2+ y K+. El grupo III tuvo el promedio más alto de cobertura de hierbas (53,4%) y se asoció con Al3+. El mayor porcentaje de U. brizantha en el grupo II se vio favorecido por la quema posterior. Este grupo presentó mejores niveles de K+, Mg2+ y suma de bases. El manejo adoptando el menor uso del fuego en los pastos, con un mayor tiempo de regeneración de forrajes, combinado con el control mecánico de malezas, puede ser la mejor alternativa para mantener la cobertura del suelo, trayendo beneficios a la calidad química de la capa superficial del suelo.

Downloads

Download data is not yet available.

References

Araujo-Junior CF, Guimarães PTG, Dias-Junior MS, Alcântara EN and Mendes ADR. 2011. Alterações nos atributos químicos de um Latossolo pelo manejo de plantas invasoras em cafeeiros. Revista Brasileira de Ciência do Solo 35(6): 2207-2217. doi: 10.1590/S0100-06832011000600036

Boeni M, Bayer C, Dieckow J, Conceição PC, Dick DP, Knicker H, Salton JC and Macedo MCM. 2014. Organic matter composition in density fractions of Cerrado Ferralsols as revealed by CPMAS 13C NMR: Influence of pastureland, cropland and integrated crop-livestock. Agriculture, Ecosystems and Environment 190: 80-86. doi: 10.1016/j.agee.2013.09.024

Brighenti AM, Rocha WSD, Costa TR, Martins CE, Souza Sobrinho F, Calsavara LHF and Nicodemos LC. 2010. Manual de Identificação e manejo de plantas daninhas em cultivo de cana-de-açúcar. Embrapa, Juiz de Fora. 112 p.

Campos LFC, Campos CMA, Collier LS and Seleguini A. 2019. Effect of nutrient cycle influenced by inter-row cover crops on the nutritional status of rustic grapevine. Revista Facultad Nacional de Agronomía 72(1): 8685-8698. doi: 10.15446/rfnam.v72n1.71277

Corrêa LA. 1993. Disponibilidade de fósforo pelos extratores de mehlich 1 e resina em latossolo vermelho amarelo, álico cultivado com três gramíneras forrageiras. Scientia Agricola 50(2): 28-294. doi: https://www.scielo.br/pdf/sa/v50n2/17.pdf

Costa RSC, Leônidas FC, Santos JCF, Rodrigues VGS, Mendes AM, Lena AG and Santos MM. 2011. Levantamento de plantas daninhas emcafezais, em solos com diferentes níveis de fertilidade em Rondônia. Embrapa, Porto Velho. 4 p.

Copogna F, Persiani AM, Maggi O, Dowgiallo G., Puppi G and Manes F. 2009. Effects of different fire intensities on chemical and biological soil components and related feedbacks on a Mediterranean shrub (Phillyrea angustifolia L.). Plant Ecology 204(1): 155-171. doi: 10.1007/s11258-009-9579-2.

Crespo G, Rodríguez I and Lok S. 2015. Contribution to the study of soil fertility and its relation to pastures and forages production. Cuban Journal of Agricultural Science 49(2): 211-219. http://cjascience.com/index.php/CJAS/article/view/536/582.

Embrapa. 2009. Sistema Brasileiro de Classificação de Solos. Second edition. CNPS, Rio de Janeiro. 353 p.

Embrapa. 2011. Manual de métodos de análise de solo. Second edition. CNPS, Rio de Janeiro. 230 p.

FAO. 2015. World reference base for soil resources 2014, International soil classification system for naming soils and creating legends for soil maps. FAO, Rome. 203 p.

Fontes AG, Gama-Rodrigues AC, Gama-Rodrigues EF, Sales MVS, Costa MG and Machado RCR. 2014. Nutrient stocks in litterfall and litter in cocoa agroforests in Brazil. Plant Soil 383(1): 313–335. doi: 10.1007/s11104-014-2175-9

Gazziero DLP, Brighenti AM, Lollato RP, Pitelli RA, Voll E, Oliveira E and Moriyama RT. 2006. Manual de Identificação de Plantas Daninhas da Cultura da Soja. Embrapa, Londrina. 115 p.

Giovannini G, Lucchesi S and Giachetti M. 1990. Effects of heating on some chemical parameters related to soil fertility and plant growth. Soil Science 149(6): 344-350. doi: 10.1097/00010694-199006000-00005

Goulding KWT. 2016. Soil acidification and the importance of liming agricultural soils with particular reference to the United Kingdom. Soil Use and Management 32(3): 390-399. doi: 10.1111/sum.12270

Hair JF, Anderson RE, Tatham RI and Black WC. 2005. Análise Multivariada de Dados. Bookman, Porto Alegre. 593 p.

Heringer I and Jacques AVA. 2002. Acumulação de forragem e material morto em pastagem nativa sob distintas alternativas de manejo em relação às queimadas. Revista Brasileira de Zootecnia 31(2): 599-604. doi: 10.1590/S1516-35982002000300009

Iglesias T, Cala V and Gonzalez J. 1997. Mineralogical and chemical modifications in soils affected by a forest fire in the Mediterranean área. The Science of the Total Environment 204(1): 89-96. doi: doi.org/10.1016/S0048-9697(97)00173-3

Köppen W and Geiger R. 1954. Klimate der Erde (Climate of the earth). Wall-map 1:16 Mill. http://koeppen-geiger.vu-wien.ac.at/pics/Geiger_1954_Map.jpg. Accessed: August 2019

Kautz T, Amelung W, Ewert F, Gaiser T, Horn R, Jahn R, Javaux M, Kemna A, Kuzyakov Y, Munch JC, Pätzold S, Peth S, Scherer HW, Schloter M, Schneider H, Vanderborght J, Vetterlein D, Walter A, Wiesenberg GLB and Köpke U. 2013. Nutrient acquisition from arable subsoils in temperate climates: A review. Soil Biology and Biochemistry 57: 1003-1022. doi: 10.1016/j.soilbio.2012.09.014

Ketterings QM, Bigham JM and Laperche V. 2000. Changes in Soil Mineralogy and Texture Caused by Slash-and-Burn Fires in Sumatra, Indonesia. Soil Science Society of America Journal 64(3): 1108-1117. doi: 10.2136/sssaj2000.6431108x

Lenka NK, Satapathy KK, Lal R, Singh RK, Singh NAK, Agrawal PK, Choudhury P and Rathore A. 2017. Weed strip management for minimizing soil erosion and enhancingproductivity in the sloping lands of north-eastern India. Soil & Tillage Research 170(1): 104-113. doi: 10.1016/j.still.2017.03.012.

Lewis TD, Rowan JS, Hawes C and Mckenzie BL. 2013. Assessing the significance of soil erosion for arable weed seedbank diversity in agro-ecosystems. Progress in Physical Geography 37(5): 622-641. doi: 10.1177/0309133313491131

Lisbôa FM, Donagemma GK, Burak DL, Passos RR and Mendonça ES. 2016. Indicadores de qualidade de Latossolo relacionados à degradação de pastagens. Pesquisa Agropecuária Brasileira 51(9): 1184-1193. doi: 10.1590/S0100-204X2016000900018

Lisbôa FM. 2015. Estoques de carbono em solo sob pastagem consorciada com leguminosas no sudeste do Pará. Revista de Biologia e Ciências da Terra 17(2): 70-75. https://pt.slideshare.net/revistabioterra/artigo-bioterra-v17n208.

Martha Junior GB, Corsi M, Maule RF, Trivelin PCO, Rovari R and Passoni-Junior JC. 1999. Métodos de determinação da área basal de uma pastagem de capim-elefante. Scientia Agricola 56(3): 645-649. doi: 10.1590/S0103-90161999000300019

Miranda EE, Farias AR, Carvalho CA, Castro GSA, Silveira HLF, Daltio J, Oshiro OT and Martinho PRR. 2019. Sistema de Inteligência Territorial Estratégica do Bioma Amazônia. Embrapa Territorial, Campinas.

McCauley A, Jones C and Olson-Rutz K. 2017. Soil pH and Organic Matter. Montana State University, Bozeman. 16 p. https://pdfs.semanticscholar.org/83f6/5f60bd380c2bae7e3429cb18737818d4a00c.pdf. 16 p. Accessed: May 2020

Monroe PHM, Gama-Rodrigues EF, Gama-Rodrigues AC and Marques RB. 2016. Soil carbon stocks and origin under different cacao agroforestry systems in Southern Bahia, Brazil. Agriculture, Ecosystems and Environment 221(1): 99–108. doi: 10.1016/j.agee.2016.01.022

Moreira HC and Bragança HBN. 2011. Manual de Identificação de Plantas Infestantes. FMC: Agricutural Products, São Paulo. 1017 p.

Morris LA, Moss SA and Garbett WS. 1993. Competitive Interference Between Selected Herbaceous and Woody Plants and Pinus taeda L. During Two Growing Seasons Following Planting. Forest Science 39(1): 166-187. doi: 10.1093/forestscience/39.1.166

Prezotti LC and Guarçoni A. 2013. Guia de interpretação de análise de solo e foliar. Incaper, Vitória. 104 p. https://biblioteca.incaper.es.gov.br/digital/bitstream/item/40/1/Guia-interpretacao-analise-solo.pdf. Accessed: May 2020

R Core Team. 2013. R: A language and environment for statistical computing. Version 3.0.1. R Foundation for Statistical Computing, Vienna. Available on: https://www.r-project.org/

Rocha-Junior PR, Donagemma GK, Andrade FV, Passos RR, Balieiro FC, Mendonça ES and Ruiz HA. 2014. Can Soil Organic Carbon Pools Indicate the Degradation Levels of Pastures in the Atlantic Forest Biome? Journal of Agricultural Science 6(1): 84-95. doi: 10.5539/jas.v6n1p84

Santana GS, Dick DP, Tomazi M, Bayer C and Jacques AVA. 2013. Chemical Composition and Stocks of Soil Organic Matter in a South Brazilian Oxisol under Pasture. Journal of the Brazilian Chemical Society, 24(5): 821-829. doi: 10.5935/0103-5053.20130108

Santos CA, Krawulski CC, Bini D, Goulart Filho T, Knob A, Medina CC, Andrade Filho G and Nogueira MA. 2015. Reclamation status of a degraded pasture based on soil health indicators. Scientia Agricola 72(3): 195-202. doi: 10.1590/0103-9016-2013-0274

Santos TR, Galvão JCC, Giehl J, Coelho SP, Campos SA and Mendonça BF. 2019. Weed communities in the organic cultivation of fresh maize intercropped with legumes and coffee husk. Revista Facultad Nacional de Agronomía 72(2): 8793-8800. doi: 10.15446/rfnam.v72n2.68510

Shapiro SS and Wilk MB. 1965. An analysis of variance test for normality (complete samples). Biometrika 52(3-4): 591-611. doi: 10.1093/biomet/52.3-4.591

Vale Júnior JF, Souza MIL, Nascimento PPRR and Cruz LS. 2011. Solos da Amazônia: etnopedologia e desenvolvimento sustentável. Revista Agro@mbiente On-line 5(2): 158-165. doi: 10.18227/1982-8470ragro.v5i2.562

Zenero MDO, Silva LFS, Castilho SCP, Vidal A, Grimaldi M and Cooper M. 2016. Characterization and Classifcation of Soils under forest and Pasture in an Agroextractivist Project in Eastern Amazonia. Revista Brasileira de Ciência do Solo 40(2016): 1-17. doi: 10.1590/18069657rbcs20160165