Molecular identification of coffee (Coffea arabica) pollinator insects in North Sumatra, Indonesia based on designed COI primers

Abstract

Herliansyah R, Fitria I. 2018. Latent variable models for multi-species counts modeling in ecology. Biodiversitas 19: 1871-1876. High-dimensional multi-species counts are often collected in ecology to understand the spatial distribution over different locations and to study effects of environmental changes. Modeling multivariate abundance is challenging as we need to consider the possibility of interactions across species. Latent variable models are the recent popular approaches in statistical ecology to address such issue that has a similar framework to ordinary regression models. In this paper, we employed the poisson distribution for modeling count responses and a negative binomial distribution for more frequent zeros in observations. The implementation of a latent variable model, Generalized Linear Latent Variable Models (GLLVMs), was demonstrated on multi-species counts of endemic bird species collected in 37 different sites in Central Kalimantan, Indonesia. The main objectives were to study the effect of logging activities on abundance of endemic species and their interactions and to observe the habitat preference of certain species. Our study found that out of four endemic species, Alophoixus bres and Eurylaimus javanicus species were significantly affected by logging activities. The sign of parameters was negative indicating the logging activities in 1989 and 1993 bring significantly negative impacts on those species. The interaction created among species was strongly negative for major endemic species especially Alophoixus bres and Eurylaimus javanicus that prefer living in primary forest than in logging areas.

Molecular identification and population genetic study of Elaeidobius kamerunicus Faust. (Coleoptera: Curculionidae) from Indonesia, Malaysia and Cameroon based on mitochondrial gene

“…The species identification is considered success when the barcoding gap was detected (Meyer and Paulay 2005;Meier et al 2008). This method also successfully assessed the power of COI as DNA barcoding marker in another insect species such as ladybird beetles (Coleoptera: Coccinellidae) (Wang et al 2019), fish species (Imtiaz et al 2017;Bramandito et al 2018), coffee pollinator insects (Sitompul et al 2018), Xyleborus sp. (Coleoptera: Scolytinae) (Chang et al 2014) or even a general soil insect (Nyamwasa et al 2017).…”

Spatial distribution of salinity, mud thickness and slope along mangrove ecosystem of the coast of Kupang District, East Nusa Tenggara, Indonesia

“…It is necessary to study the spatial distribution of species and their interaction with the ecosystem (Herliansyah and Fitria 2018). Spatial distribution of salinity, mud thickness, and slope conditions are needed which can form the basis for planning and managing coastal areas of Kupang District, East Nusa Tenggara.…”

Response of various growth regulators and shade intensity to the growth of arabica coffee seedlings of Sigarar Utang variety

“…Coffee is one of the most important economic commodities in the province of North Sumatra, Indonesia (Sitompul et al 2018). Simalungun District is the second number largest Arabica coffee-producing area in North Sumatra, Indonesia according to statistical data from the Directorate General of Plantations (2018), with production reaching 9,744 t/year in a total area of 7,843 ha with an average annual production of only 1,443 kg/ha of fresh fruit or around approximately 481 kg grain/ha.…”