T
Teguh Triono
Researcher at Indonesian Institute of Sciences
Publications - 6
Citations - 86
Teguh Triono is an academic researcher from Indonesian Institute of Sciences. The author has contributed to research in topics: Biodiversity & Secondary forest. The author has an hindex of 3, co-authored 6 publications receiving 71 citations.
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Biodiversity inventory and informatics in Southeast Asia
TL;DR: A new golden age of biodiversity exploration may be dawning, just as biodiversity itself is most threatened, and it is hopeful that increasing knowledge of biodiversity will be a positive force to slow its loss.
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Generating DNA sequence data with limited resources for molecular biology: Lessons from a barcoding project in Indonesia.
Gillian H. Dean,Rani Asmarayani,Marlina Ardiyani,Yessi Santika,Teguh Triono,Sarah Mathews,Campbell O. Webb +6 more
TL;DR: There is a need to build capacity to generate useful sequence data in countries with limited historical access to laboratory resources, so that researchers can benefit from the advantages offered by these data.
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Feed Plants Selection and Nesting Site of Cuscus (Phalanger sp.) in Nature Reserve of Gunung Mutis, East Nusa Tenggara
TL;DR: Research on feed plants selection and nesting site of cuscus (Phalanger sp.) was conducted in Nature Reserve of Gunung Mutis, West Timor, East Nusa Tenggara, and the results showed seven species of plants was selected by cUScus as their nesting site and 41species of plants as their feed resources.
Analisis Vegetasi Pohon Di Hutan Hujan Tropik Harapan, Jambi [Vegetation Analysis of Trees in Harapan Rainforest, Jambi]
TL;DR: In this article, the authors conducted a vegetation analysis of trees in Harapan Rainforest, PT.REKI, Jambi, in 2009, where two 50m x 100m (0.5 ha) plots were established to obtain primary data for analysis.
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The Digital Herbarium: Solutions for Data Collection and Identification of Indonesian Plant Diversity
TL;DR: In this article, the authors used a digital herbarium for the identification and data collection of plant biodiversity in Indonesia and achieved 98.8 % accuracy on the family level and 80.1 % on the genus level while the species level reached 78.8%.