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Ecological Show Cave and Wild Cave: Negative Binomial Gllvm’s Arthropod Community Modelling

机译:生态表演洞穴和野生洞穴:负二项式Gllvm的节肢动物群落模型

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摘要

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.
机译:生态学是生物学的一个分支,研究生物与环境之间的相互作用和关系。许多生态学家对生物的丰富,分布和生物多样性模式非常感兴趣。一个值得研究的有趣的生态系统是洞穴。洞穴具有典型的环境特征和脆弱的生态系统。印度尼西亚的许多洞穴,特别是在Gunungsewu喀斯特地区的洞穴,已经被开发为旅游对象(显示洞穴),并且经过了谨慎的管理。这种洞穴管理有可能损害环境并导致生态系统破坏。节肢动物是洞穴中数量最多的动物,在维持洞穴生态系统平衡方面发挥着关键作用。在统计生态学的核心,我们需要分析节肢动物群落和样洞和野生洞穴之间非生物(气候-气候)参数的差异。需要统计技术来提取此类信息。 GLLVM是一种能够解释基于空间的信息的方法,特别适合于生态学。在本文中,我们使用负二项式模型来观察捕食者和分解器节肢动物的空间格局的差异,以及每个洞穴的前卫和气候特征。

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