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Ecological show cave and wild cave: negative binomial GLLVM’s arthropod community modelling


Citation

Caraka, Rezzy Eko and Shohaimi, Shamarina and Kurniawan, Isma Dwi and Herliansyah, Riki and Budiarto, Arif and Sari, Shinta Purnama and Pardamean, Bens (2018) Ecological show cave and wild cave: negative binomial GLLVM’s arthropod community modelling. Procedia Computer Science, 135. 377 - 384. ISSN 1877-0509; ESSN: 1877-0509

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
DOI Number: https://doi.org/10.1016/j.procs.2018.08.188
Publisher: Elsevier
Keywords: Ecology; GLLVM; Negative binomial; Show cave; Wild cave
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 19 May 2020 03:49
Last Modified: 19 May 2020 03:49
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.procs.2018.08.188
URI: http://psasir.upm.edu.my/id/eprint/72360
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