Nutritional diagnosis and spatial variability of leaf nutrients in teak field in the Eastern Amazon

Neto, Antônio Anizio Leal Macedo; Farias, Paulo Roberto Silva; Matos, Gilson Sergio Bastos de; Rodrigues, Graziele Rabelo; Silva, Jeane Oliveira da; Costa, Lincoln Stephano Lima da; Anhê, Bruno Borella

doi:10.1080/01904167.2021.2003398

Cited by 1 publication

(1 citation statement)

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“…Volume models for Tectona grandis can be found in a number of studies; the ones mentioned in this study were mainly conducted in Tanzania, Nigeria, and Brazil [13][14][15][16]. A study on the nutritional diagnosis of teak leaves in the eastern Amazon [17] had a similar flow as this current study, as it analyzed the spatial dependence between the nutrition in teak tree leaves and spatial data to understand and elaborate upon the variability in the map where these teak trees are being planted. However, this literature reported how growing rates, management regimens, and production objectives are specific to each country or world region.…”

Section: Introductionmentioning

confidence: 99%

Specifying Spatial Dependence for Teak Stands Specific to Solomon Island-Derived Clones in Tawau, Sabah, Malaysia: A Preliminary Study

Kiram

Yunus

Japarudin³

et al. 2022

Sustainability

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The magnitude of spatial dependence on teak tree growth was examined based on a teak plantation managed by the research and development team at Sabah Softwood Berhad, Brumas camp, Tawau, Sabah, Malaysia. A sample of 432 and 445 georeferenced individual tree points specific to Solomon Island-derived clones that were 6 and 7 years old, respectively, were analyzed, as previous findings showed that this was the genotype that thrived the most. This study aims to show that spatial dependence exists in the 6- and 7-year-old teak tree blocks of the plantation and that there are changes in the magnitude of spatial dependence when it is analyzed as a continuous plot. Moran’s I values and Moran scatterplots as well as semivariograms and thematic maps were used to satisfy the hypothesis regarding the relationship between spatial dependence and the growth of the physical parameters: the diameter at breast height (DBH), height, and the volume of the teak tree. The Moran’s I values that were calculated rejected the null hypothesis, suggesting the existence of strong spatial dependence for all of the physical parameters and for both the 6- and 7-year-old samples. The semivariograms were plotted and showed an increasing trend as the lag distance between trees increased and showed changes as the trees aged. These findings prove significant spatial dependence in the growth of the physical parameters of teak trees. Hence, growth model methodologies based on spatial distribution must be developed to further understand the spatial distribution of teak tree plantations.

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Section: Introductionmentioning

confidence: 99%