Integrating forest-pasture: Spatial analysis and delineation of zones of litter production and nutrient return

Authors

  • Sabino Pereira da Silva Neto Universidade Federal de Tocantins
  • Antonio Clementino dos Santos Universidade Federal de Tocantins
  • Raimundo Laerton de Lima Leite Universidade Federal de Tocantins
  • José Expedito Cavalcante da Silva Universidade Federal de Tocantins
  • Durval Nolasco Neves Neto Universidade Federal de Tocantins
  • Marcos Odilon Dias Rodrigues Universidade Federal de Tocantins
  • Nayara Martins Alencar Universidade Federal de Tocantins

DOI:

https://doi.org/10.5433/1679-0359.2015v36n6Supl2p4377

Keywords:

Precision agriculture, Principal component analysis, Geostatistics, Ordinary kriging, Fuzzy k-mean logic, Soil management, Special variability.

Abstract

This study aimed to quantify, describe, and identify plant litter production and nutrient accumulation zones in different forest-pasture integration (FPI) systems and forest strata of the Cerrado-Amazon transition on typical orthic Quartzarenic Neosol using spatial analysis, principal component analysis, and non-hierarchical fuzzy k-mean clustering logic techniques. The evaluations were performed at two FPI systems comprising a combination of Brachiaria brizantha cv. Marandu and thinned native vegetation with 50 and 75% (FPI-I and FPI-II, respectively) shade in an original thinned forest (NFI) and in an original intact forest (NF-II) with 80 and 95% shade, respectively. An area of 4,000 m² (40 x 100 m) that contained 32 sampling points arranged in a 4 x 25 m grid was demarcated for each treatment. Plant litter was collected using 32 collectors installed at equidistant points. Twelve nylon bags were placed on the soil surface at each point to evaluate the plant litter decomposition, totaling 384 bags per treatment. It was possible to quantify, describe, and define plant litter production and nutrient accumulation zones in different FPI systems and forest strata of the Cerrado-Amazon transition on orthic Quartzarenic Neosol using geostatistical analysis, principal components, and non-hierarchical fuzzy k-mean clustering logic procedures.

Author Biographies

Sabino Pereira da Silva Neto, Universidade Federal de Tocantins

Prof., Universidade Federal de Tocantins, IFTO, Gurupi, TO, Brasil. 

Antonio Clementino dos Santos, Universidade Federal de Tocantins

Prof., UFT, Araguaína, TO, Brasil. 

Raimundo Laerton de Lima Leite, Universidade Federal de Tocantins

Prof., IFTO, Araguatins, TO, Brasil. 

José Expedito Cavalcante da Silva, Universidade Federal de Tocantins

Prof., UFT, Araguaína, TO, Brasil. 

Durval Nolasco Neves Neto, Universidade Federal de Tocantins

Discente do Curso de Doutorado, Ciência Animal Tropical, UFT, Araguaína, TO, Brasil. 

Marcos Odilon Dias Rodrigues, Universidade Federal de Tocantins

Discente do Curso de Doutorado, Ciência Animal Tropical, UFT, Araguaína, TO, Brasil.

Nayara Martins Alencar, Universidade Federal de Tocantins

Discente do Curso de Doutorado, Ciência Animal Tropical, UFT, Araguaína, TO, Brasil.

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Published

2015-12-16

How to Cite

Silva Neto, S. P. da, Santos, A. C. dos, Leite, R. L. de L., Silva, J. E. C. da, Neves Neto, D. N., Rodrigues, M. O. D., & Alencar, N. M. (2015). Integrating forest-pasture: Spatial analysis and delineation of zones of litter production and nutrient return. Semina: Ciências Agrárias, 36(6Supl2), 4377–4400. https://doi.org/10.5433/1679-0359.2015v36n6Supl2p4377

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