Ecological Show Cave and Wild Cave: Negative Binomial Gllvm’s Arthropod Community Modelling
Abstract
Ecology is a branch of biology that studies the interaction and relationship between organisms and their environment. Abundance, distribution of organisms and patterns of biodiversity are great interests for many ecologists. One of interesting ecosystems to be studied is a cave. A cave has a typical environment character with a vulnerable ecosystem. Many caves in Indonesia, particularly in Gunungsewu karst area have been developed into tourist objects (show caves) and managed imprudently. Such cave management has potential to harm the environment and leads to ecosystem destruction. Arthropods are the most abundance fauna in cave that play critical roles in maintaining cave ecosystems equilibrium. In the heart of statistical ecology, we need to analyze the differences on Arthropods community and abiotic (climatic-edaphic) parameters among show caves and wild caves. Statistical techniques are needed for the extraction of such information. GLLVM is one method that is able to explain spatial-based information and is particularly suitable for ecology. In this paper, we use negative binomial models to see the differences on spatial patterns of predator and decomposer Arthropods, also characteristic of edaphic and climatic in each cave
Acknowledgements
This research is supported by Bioinformatics and Data Science Research Center, Bina Nusantara University and
Institute for Mathematical Research (INSPEM) UPM and Department of Biology UPM. We thank to colleagues in
Biospeleology Studdien Gruppen (BSG UNY) and Indonesian Speleological Society (ISS) for their helps in field
work, to colleagues in Museum Zoologicum Bogoriense, Indonesia Research Institute (LIPI) for help in dentification.
In this paper we are using gllvm package in R, which developed by co-author Riki Herliansyah also statistical
calculator STATCAL© by Prana Ugiana Gio and Rezzy Eko Caraka.
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