Soil Fungi in an Over-burned Tropical Rain Forest in Bukit Bangkirai, East Kalimantan

2006 ◽  
Vol 7 (1) ◽  
pp. 1-3
Author(s):  
SUCIATMIH SUCIATMIH
Keyword(s):  
Rain Forest ◽  
Tropical Rain Forest ◽  
Soil Fungi ◽  
East Kalimantan

The estimation of temporal processes in tropical rain forest: a study of primary mixed dipterocarp forest in Indonesia

1985 ◽  
Vol 1 (2) ◽  
pp. 171-182 ◽  
Author(s):  
Soedarsono Riswan ◽  
J. B. Kenworthy ◽  
Kuswata Kartawinata
Keyword(s):  
Time Scale ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Gap Formation ◽  
Growth Rings ◽  
Secondary Species ◽  
East Kalimantan ◽  
Forest Sites ◽  
Time Required ◽  
Individual Trees

ABSTRACTIn the absence of growth rings it is difficult to give a precise time scale for processes associated with the re-establishment of tropical rain forest. This paper explores other methods by which a time scale may be constructed. The proportions of primary and secondary species, an index of similarity, biomass measurements, girth dimensions and gap size are all considered from sites in East Kalimantan, Indonesia. Data from primary, secondary and experimentally cleared forest sites are compared to estimate the minimum time required for various phases involved in the re-establishment of tropical rain forest after disturbance. A simple model is proposed to accommodate the data and other estimates in the literature. The model predicts a minimum period for the stablization of secondary species numbers as 60–70 years and the replacement of primary species as 150 years at which point gap formation is initiated. After approximately 220–250 years biomass stabilizes while individual trees exist for over 500 years.

Diversity and Variability in Soil Fungi from a Disturbed Tropical Rain Forest

Mycologia ◽  
1998 ◽  
Vol 90 (2) ◽  
pp. 206 ◽  
Author(s):  
A. M. Persiani ◽  
O. Maggi ◽  
M. A. Casado ◽  
F. D. Pineda
Keyword(s):  
Rain Forest ◽  
Tropical Rain Forest ◽  
Soil Fungi

scholarly journals Classification of Tropical Rain Forest East Kalimantan Using Image Processing and Backpropagation Neural Network Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2586-2589
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Backpropagation Neural Network ◽  
East Kalimantan ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
High Level

Tropical Rain Forest located in East Kalimantan has a high level of biodiversity, with a high level of biodiversity in east kalimantan then it needs a method to classify the existing plants there. In the research, the researchers tried to classify 5 plants found in tropical rainforests, namely ShoreaBalangeran, Dryobalanopsbeccarii Dyer, Eusideroxylonzwageri, Duriokutejensis, Cerberamanghas. Classification is done by using backpropagation neural network algorithm combined with image processing, where the image used is the image of plant leaf. The result of this research is the classification of 5 species of this plant with precision value above 90% in order to become a supporter of botanical decision in determining the type of plant and become alternative reference to classify plants in tropical rain forest area.

Diversity and variability in soil fungi from a disturbed tropical rain forest

Mycologia ◽  
1998 ◽  
Vol 90 (2) ◽  
pp. 206-214 ◽  
Author(s):  
A. M. Persiani ◽  
O. Maggi ◽  
M. A. Casado ◽  
F. D. Pineda
Keyword(s):  
Rain Forest ◽  
Tropical Rain Forest ◽  
Soil Fungi

The Effects of a Tropical rain Forest Cover on Airborne Gamma-Ray Spectrometry

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Enio B. Pereira ◽  
Daniel J.R. Nordemann
Keyword(s):  
Rain Forest ◽  
Tropical Rain Forest ◽  
Forest Cover ◽  
Gamma Ray ◽  
Gamma Ray Spectrometry

Para solicitação de resumo, entrar em contato com editor-chefe ([email protected]). 

scholarly journals (5d RG-flow) trees in the tropical rain forest

2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Marieke van Beest ◽  
Antoine Bourget ◽  
Julius Eckhard ◽  
Sakura Schäfer-Nameki
Keyword(s):  
Large Class ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Field Theories ◽  
Flavor Symmetry ◽  
Superconformal Field Theories ◽  
Hasse Diagrams ◽  
Flavor Symmetries ◽  
Rank 2 ◽  
Mass Deformation

Abstract 5d superconformal field theories (SCFTs) can be obtained from 6d SCFTs by circle compactification and mass deformation. Successive decoupling of hypermultiplet matter and RG-flow generates a decoupling tree of descendant 5d SCFTs. In this paper we determine the magnetic quivers and Hasse diagrams, that encode the Higgs branches of 5d SCFTs, for entire decoupling trees. Central to this undertaking is the approach in [1], which, starting from the generalized toric polygons (GTPs) dual to 5-brane webs/tropical curves, provides a systematic and succinct derivation of magnetic quivers and their Hasse diagrams. The decoupling in the GTP description is straightforward, and generalizes the standard flop transitions of curves in toric polygons. We apply this approach to a large class of 5d KK-theories, and compute the Higgs branches for their descendants. In particular we determine the decoupling tree for all rank 2 5d SCFTs. For each tree, we also identify the flavor symmetry algebras from the magnetic quivers, including non-simply-laced flavor symmetries.

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